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hakimjustbao/blockassist-bc-raging_subtle_wasp_1755907598
|
hakimjustbao
| 2025-08-23T00:32:23Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"raging subtle wasp",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:32:20Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- raging subtle wasp
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
sa7270/harm50_fin20_l9
|
sa7270
| 2025-08-23T00:31:31Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-22T21:16:35Z |
---
library_name: transformers
tags:
- trl
- sft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
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- **License:** [More Information Needed]
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### Model Sources [optional]
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- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
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### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
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#### Training Hyperparameters
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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<!-- This section describes the evaluation protocols and provides the results. -->
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<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
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## Technical Specifications [optional]
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|
ggozzy/blockassist-bc-stubby_yapping_mandrill_1755909002
|
ggozzy
| 2025-08-23T00:31:17Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stubby yapping mandrill",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:31:11Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stubby yapping mandrill
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
sa7270/harm30_fin50_l9
|
sa7270
| 2025-08-23T00:30:48Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-22T23:10:04Z |
---
library_name: transformers
tags:
- trl
- sft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
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### Direct Use
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
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[More Information Needed]
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[More Information Needed]
### Results
[More Information Needed]
#### Summary
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<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
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## Technical Specifications [optional]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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|
sa7270/harm80_fin20_l9
|
sa7270
| 2025-08-23T00:30:38Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-23T00:18:45Z |
---
library_name: transformers
tags:
- trl
- sft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
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### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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|
sa7270/harm80_fin70_l9
|
sa7270
| 2025-08-23T00:30:18Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-23T00:18:49Z |
---
library_name: transformers
tags:
- trl
- sft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
#### Summary
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<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hours used:** [More Information Needed]
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|
sa7270/harm90_fin30_l9
|
sa7270
| 2025-08-23T00:30:14Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-22T23:23:01Z |
---
library_name: transformers
tags:
- trl
- sft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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[More Information Needed]
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
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[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
sa7270/harm90_fin20_l9
|
sa7270
| 2025-08-23T00:29:55Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-23T00:18:49Z |
---
library_name: transformers
tags:
- trl
- sft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
Sayemahsjn/blockassist-bc-playful_feline_octopus_1755907776
|
Sayemahsjn
| 2025-08-23T00:28:39Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"playful feline octopus",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:28:35Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- playful feline octopus
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ggozzy/blockassist-bc-stubby_yapping_mandrill_1755908733
|
ggozzy
| 2025-08-23T00:26:47Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stubby yapping mandrill",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:26:42Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stubby yapping mandrill
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
glif-loradex-trainer/Insectagon_Semiotic
|
glif-loradex-trainer
| 2025-08-23T00:25:56Z | 0 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"template:sd-lora",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:finetune:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us",
"flux",
"lora",
"base_model:adapter:black-forest-labs/FLUX.1-dev"
] |
text-to-image
| 2025-08-23T00:25:31Z |
---
tags:
- diffusers
- text-to-image
- template:sd-lora
- base_model:black-forest-labs/FLUX.1-dev
- base_model:finetune:black-forest-labs/FLUX.1-dev
- license:other
- region:us
- flux
- lora
widget:
- output:
url: samples/1755908573544__000003000_0.jpg
text: A sad rusty blue robot crying in the rain,[semiotic]
- output:
url: samples/1755908598335__000003000_1.jpg
text: a beautiful woman hugging a fluffy bunny,[semiotic]
- output:
url: samples/1755908623097__000003000_2.jpg
text: Spider-Man,[semiotic]
- output:
url: samples/1755908647878__000003000_3.jpg
text: Adorable terrifying tentacled creature with large round eyes and soft fur,
emerging from cosmic void filled with floating eyeballs and spiral galaxies,[semiotic]
- output:
url: samples/1755908672662__000003000_4.jpg
text: Cat [semiotic]
- output:
url: samples/1755908697434__000003000_5.jpg
text: Circular sticker design featuring faceless human in white hooded robe with
black diagonal sash, wearing smooth chrome reflective mask that mirrors surrounding
environment, carrying ornate copper steampunk scythe with visible gears and
steam pipes,[semiotic]
base_model: black-forest-labs/FLUX.1-dev
trigger: "semiotic"
instance_prompt: "semiotic"
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
---
# Semiotic
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) under the [Glif Loradex program](https://huggingface.co/glif-loradex-trainer) by [Glif](https://glif.app) user `Insectagon`.
<Gallery />
## Trigger words
You should use `semiotic` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/glif-loradex-trainer/Insectagon_Semiotic/tree/main) them in the Files & versions tab.
## License
This model is licensed under the [flux-1-dev-non-commercial-license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).
|
kojeklollipop/blockassist-bc-spotted_amphibious_stork_1755907136
|
kojeklollipop
| 2025-08-23T00:25:15Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"spotted amphibious stork",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:25:12Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- spotted amphibious stork
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
IvanJAjebu/blockassist-bc-thorny_slender_capybara_1755908558
|
IvanJAjebu
| 2025-08-23T00:23:42Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"thorny slender capybara",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:23:33Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- thorny slender capybara
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
roeker/blockassist-bc-quick_wiry_owl_1755908558
|
roeker
| 2025-08-23T00:23:22Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"quick wiry owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:23:16Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- quick wiry owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
kapalbalap/blockassist-bc-peaceful_wary_owl_1755908412
|
kapalbalap
| 2025-08-23T00:20:52Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"peaceful wary owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:20:47Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- peaceful wary owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ihsanridzi/blockassist-bc-wiry_flexible_owl_1755906800
|
ihsanridzi
| 2025-08-23T00:19:06Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"wiry flexible owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:19:03Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- wiry flexible owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
davidilag/wav2vec2-xls-r-300m-pre_trained-1000h_faroese-10_epochs-faroese-100h-30-epochs_2025-08-22
|
davidilag
| 2025-08-23T00:18:57Z | 0 | 0 |
transformers
|
[
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] |
automatic-speech-recognition
| 2025-08-22T14:35:01Z |
---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-300m-pre_trained-1000h_faroese-10_epochs-faroese-100h-30-epochs_2025-08-22
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-xls-r-300m-pre_trained-1000h_faroese-10_epochs-faroese-100h-30-epochs_2025-08-22
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0969
- Wer: 19.0025
- Cer: 4.0855
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5000
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-------:|:-----:|:---------------:|:-------:|:-------:|
| 3.2951 | 0.4877 | 1000 | 3.2352 | 100.0 | 98.4583 |
| 0.9295 | 0.9754 | 2000 | 0.5538 | 47.1472 | 13.1064 |
| 0.4669 | 1.4628 | 3000 | 0.2577 | 33.0484 | 8.5932 |
| 0.4318 | 1.9505 | 4000 | 0.2270 | 30.9733 | 7.9415 |
| 0.3422 | 2.4379 | 5000 | 0.1936 | 28.3253 | 7.1335 |
| 0.3198 | 2.9256 | 6000 | 0.1757 | 27.4309 | 6.8408 |
| 0.2391 | 3.4131 | 7000 | 0.1570 | 25.9814 | 6.3413 |
| 0.2622 | 3.9008 | 8000 | 0.1526 | 25.6466 | 6.2490 |
| 0.2132 | 4.3882 | 9000 | 0.1444 | 25.2853 | 6.0320 |
| 0.226 | 4.8759 | 10000 | 0.1488 | 24.6596 | 5.9500 |
| 0.1902 | 5.3633 | 11000 | 0.1453 | 24.1970 | 5.7724 |
| 0.1975 | 5.8510 | 12000 | 0.1280 | 23.8534 | 5.5981 |
| 0.1644 | 6.3385 | 13000 | 0.1342 | 23.7741 | 5.6549 |
| 0.1705 | 6.8261 | 14000 | 0.1302 | 23.3115 | 5.4308 |
| 0.1504 | 7.3136 | 15000 | 0.1278 | 22.8532 | 5.4190 |
| 0.1475 | 7.8013 | 16000 | 0.1236 | 22.7563 | 5.3369 |
| 0.1433 | 8.2887 | 17000 | 0.1235 | 22.4699 | 5.2249 |
| 0.1506 | 8.7764 | 18000 | 0.1221 | 22.3818 | 5.2217 |
| 0.1234 | 9.2638 | 19000 | 0.1102 | 22.1219 | 5.0939 |
| 0.1252 | 9.7515 | 20000 | 0.1162 | 21.8399 | 4.9921 |
| 0.1182 | 10.2390 | 21000 | 0.1161 | 21.6284 | 4.9408 |
| 0.1167 | 10.7267 | 22000 | 0.1089 | 21.7782 | 4.9740 |
| 0.0923 | 11.2141 | 23000 | 0.1138 | 21.1394 | 4.7759 |
| 0.0971 | 11.7018 | 24000 | 0.1070 | 21.2715 | 4.8098 |
| 0.0986 | 12.1892 | 25000 | 0.1151 | 21.1526 | 4.8383 |
| 0.094 | 12.6769 | 26000 | 0.1145 | 21.0072 | 4.7862 |
| 0.0893 | 13.1644 | 27000 | 0.1093 | 21.1173 | 4.7688 |
| 0.0855 | 13.6520 | 28000 | 0.1052 | 20.5710 | 4.5889 |
| 0.0819 | 14.1395 | 29000 | 0.1070 | 20.9719 | 4.7041 |
| 0.0915 | 14.6272 | 30000 | 0.1064 | 20.5181 | 4.5960 |
| 0.0788 | 15.1146 | 31000 | 0.1009 | 20.6415 | 4.5889 |
| 0.0778 | 15.6023 | 32000 | 0.1043 | 20.3111 | 4.5550 |
| 0.0795 | 16.0897 | 33000 | 0.1067 | 20.1921 | 4.5163 |
| 0.0686 | 16.5774 | 34000 | 0.1070 | 20.1524 | 4.4390 |
| 0.0638 | 17.0649 | 35000 | 0.1037 | 20.2626 | 4.4832 |
| 0.0552 | 17.5525 | 36000 | 0.1019 | 20.1921 | 4.5069 |
| 0.0625 | 18.0400 | 37000 | 0.0991 | 19.8969 | 4.3577 |
| 0.0599 | 18.5277 | 38000 | 0.1057 | 19.8925 | 4.3996 |
| 0.0566 | 19.0151 | 39000 | 0.1002 | 20.0467 | 4.4051 |
| 0.0516 | 19.5028 | 40000 | 0.1052 | 19.9277 | 4.3877 |
| 0.0519 | 19.9905 | 41000 | 0.1011 | 19.6898 | 4.3230 |
| 0.0557 | 20.4779 | 42000 | 0.1021 | 19.5621 | 4.2954 |
| 0.0437 | 20.9656 | 43000 | 0.1024 | 19.5180 | 4.2749 |
| 0.0421 | 21.4531 | 44000 | 0.1010 | 19.5136 | 4.2591 |
| 0.0678 | 21.9407 | 45000 | 0.0974 | 19.5841 | 4.2378 |
| 0.0524 | 22.4282 | 46000 | 0.0989 | 19.4739 | 4.2023 |
| 0.056 | 22.9159 | 47000 | 0.1012 | 19.3814 | 4.2339 |
| 0.0537 | 23.4033 | 48000 | 0.0966 | 19.3418 | 4.1755 |
| 0.0415 | 23.8910 | 49000 | 0.0978 | 19.2492 | 4.1786 |
| 0.0469 | 24.3784 | 50000 | 0.0983 | 19.1832 | 4.1510 |
| 0.0444 | 24.8661 | 51000 | 0.0951 | 19.1259 | 4.1092 |
| 0.0436 | 25.3536 | 52000 | 0.0967 | 19.1259 | 4.1273 |
| 0.0422 | 25.8413 | 53000 | 0.0964 | 19.1127 | 4.1289 |
| 0.0433 | 26.3287 | 54000 | 0.0960 | 19.0642 | 4.1076 |
| 0.038 | 26.8164 | 55000 | 0.0961 | 19.0289 | 4.0832 |
| 0.0447 | 27.3038 | 56000 | 0.0966 | 19.0774 | 4.0974 |
| 0.0468 | 27.7915 | 57000 | 0.0968 | 19.0466 | 4.0950 |
| 0.0444 | 28.2790 | 58000 | 0.0975 | 19.0334 | 4.0950 |
| 0.0368 | 28.7666 | 59000 | 0.0970 | 19.0334 | 4.0918 |
| 0.0496 | 29.2541 | 60000 | 0.0969 | 19.0069 | 4.0832 |
| 0.0512 | 29.7418 | 61000 | 0.0969 | 19.0025 | 4.0855 |
### Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
|
ggozzy/blockassist-bc-stubby_yapping_mandrill_1755908194
|
ggozzy
| 2025-08-23T00:18:03Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stubby yapping mandrill",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:17:48Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stubby yapping mandrill
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Guilherme34/Samantha-omni-lora
|
Guilherme34
| 2025-08-23T00:15:56Z | 2 | 1 |
peft
|
[
"peft",
"safetensors",
"llama-factory",
"lora",
"generated_from_trainer",
"base_model:openbmb/MiniCPM-o-2_6",
"base_model:adapter:openbmb/MiniCPM-o-2_6",
"license:other",
"region:us"
] | null | 2025-01-18T01:17:09Z |
---
library_name: peft
license: other
base_model: openbmb/MiniCPM-o-2_6
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: train_2025-08-22-19-24-09
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# train_2025-08-22-19-24-09
This model is a fine-tuned version of [openbmb/MiniCPM-o-2_6](https://huggingface.co/openbmb/MiniCPM-o-2_6) on the Samantha-dataset and the llava_1k_en datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 3.0
### Training results
### Framework versions
- PEFT 0.15.2
- Transformers 4.49.0
- Pytorch 2.3.0+cu118
- Datasets 3.6.0
- Tokenizers 0.21.1
|
davidilag/wav2vec2-xls-r-300m-pre_trained-1000h_faroese-5_epochs-faroese-100h-30-epochs_2025-08-22
|
davidilag
| 2025-08-23T00:13:25Z | 0 | 0 |
transformers
|
[
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] |
automatic-speech-recognition
| 2025-08-22T14:34:37Z |
---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-300m-pre_trained-1000h_faroese-5_epochs-faroese-100h-30-epochs_2025-08-22
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-xls-r-300m-pre_trained-1000h_faroese-5_epochs-faroese-100h-30-epochs_2025-08-22
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0978
- Wer: 19.2492
- Cer: 4.1376
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5000
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-------:|:-----:|:---------------:|:-------:|:-------:|
| 3.317 | 0.4877 | 1000 | 3.2380 | 100.0 | 98.9033 |
| 1.102 | 0.9754 | 2000 | 0.7354 | 61.3297 | 17.9967 |
| 0.5097 | 1.4628 | 3000 | 0.2764 | 34.9385 | 9.1195 |
| 0.454 | 1.9505 | 4000 | 0.2514 | 32.5726 | 8.3375 |
| 0.3519 | 2.4379 | 5000 | 0.2089 | 30.0128 | 7.5951 |
| 0.3298 | 2.9256 | 6000 | 0.1867 | 28.6910 | 7.1714 |
| 0.2579 | 3.4131 | 7000 | 0.1628 | 26.7568 | 6.5481 |
| 0.278 | 3.9008 | 8000 | 0.1645 | 26.3427 | 6.4999 |
| 0.2188 | 4.3882 | 9000 | 0.1538 | 25.7435 | 6.1859 |
| 0.2359 | 4.8759 | 10000 | 0.1443 | 25.1575 | 6.0218 |
| 0.1958 | 5.3633 | 11000 | 0.1424 | 24.7654 | 5.8711 |
| 0.2106 | 5.8510 | 12000 | 0.1299 | 24.3865 | 5.7314 |
| 0.1733 | 6.3385 | 13000 | 0.1352 | 24.0428 | 5.7401 |
| 0.183 | 6.8261 | 14000 | 0.1222 | 23.3555 | 5.4245 |
| 0.1511 | 7.3136 | 15000 | 0.1259 | 23.1396 | 5.4292 |
| 0.1618 | 7.8013 | 16000 | 0.1237 | 22.8576 | 5.3464 |
| 0.1522 | 8.2887 | 17000 | 0.1234 | 22.8532 | 5.2809 |
| 0.1601 | 8.7764 | 18000 | 0.1190 | 22.9017 | 5.3196 |
| 0.1282 | 9.2638 | 19000 | 0.1172 | 22.2937 | 5.1570 |
| 0.1375 | 9.7515 | 20000 | 0.1221 | 22.3950 | 5.1602 |
| 0.1253 | 10.2390 | 21000 | 0.1126 | 22.0602 | 5.0458 |
| 0.1133 | 10.7267 | 22000 | 0.1203 | 22.1395 | 5.0544 |
| 0.1007 | 11.2141 | 23000 | 0.1165 | 21.7121 | 4.9621 |
| 0.104 | 11.7018 | 24000 | 0.1149 | 21.7033 | 4.9669 |
| 0.0999 | 12.1892 | 25000 | 0.1079 | 21.1394 | 4.8256 |
| 0.0975 | 12.6769 | 26000 | 0.1135 | 21.4037 | 4.8525 |
| 0.1021 | 13.1644 | 27000 | 0.1136 | 21.1878 | 4.7704 |
| 0.0889 | 13.6520 | 28000 | 0.1104 | 21.2143 | 4.7420 |
| 0.0858 | 14.1395 | 29000 | 0.1056 | 21.0556 | 4.7096 |
| 0.0916 | 14.6272 | 30000 | 0.1114 | 20.7472 | 4.6686 |
| 0.0817 | 15.1146 | 31000 | 0.1114 | 21.0160 | 4.6978 |
| 0.0747 | 15.6023 | 32000 | 0.1090 | 20.6988 | 4.6023 |
| 0.0837 | 16.0897 | 33000 | 0.1025 | 20.6371 | 4.5866 |
| 0.0748 | 16.5774 | 34000 | 0.1087 | 20.4697 | 4.5597 |
| 0.067 | 17.0649 | 35000 | 0.1022 | 20.3243 | 4.4769 |
| 0.0608 | 17.5525 | 36000 | 0.1067 | 20.3771 | 4.5092 |
| 0.0634 | 18.0400 | 37000 | 0.1077 | 20.1304 | 4.4792 |
| 0.0598 | 18.5277 | 38000 | 0.1102 | 20.0775 | 4.4382 |
| 0.0626 | 19.0151 | 39000 | 0.1054 | 20.1701 | 4.4572 |
| 0.0565 | 19.5028 | 40000 | 0.1055 | 20.0599 | 4.4248 |
| 0.054 | 19.9905 | 41000 | 0.1043 | 19.9277 | 4.3790 |
| 0.0526 | 20.4779 | 42000 | 0.1032 | 19.8176 | 4.3396 |
| 0.0452 | 20.9656 | 43000 | 0.1024 | 19.6810 | 4.2883 |
| 0.0444 | 21.4531 | 44000 | 0.1001 | 19.6898 | 4.2915 |
| 0.0709 | 21.9407 | 45000 | 0.0999 | 19.6458 | 4.2678 |
| 0.0545 | 22.4282 | 46000 | 0.0978 | 19.6149 | 4.2631 |
| 0.0619 | 22.9159 | 47000 | 0.1014 | 19.6237 | 4.2662 |
| 0.0553 | 23.4033 | 48000 | 0.0971 | 19.4079 | 4.2086 |
| 0.0441 | 23.8910 | 49000 | 0.1015 | 19.5577 | 4.2260 |
| 0.0475 | 24.3784 | 50000 | 0.0981 | 19.3770 | 4.1889 |
| 0.046 | 24.8661 | 51000 | 0.0984 | 19.4475 | 4.2055 |
| 0.0455 | 25.3536 | 52000 | 0.0984 | 19.3418 | 4.1692 |
| 0.0413 | 25.8413 | 53000 | 0.0977 | 19.3374 | 4.1684 |
| 0.0469 | 26.3287 | 54000 | 0.0985 | 19.2360 | 4.1487 |
| 0.0426 | 26.8164 | 55000 | 0.0988 | 19.2889 | 4.1479 |
| 0.0471 | 27.3038 | 56000 | 0.0984 | 19.2536 | 4.1550 |
| 0.053 | 27.7915 | 57000 | 0.0979 | 19.2757 | 4.1479 |
| 0.0498 | 28.2790 | 58000 | 0.0984 | 19.2536 | 4.1431 |
| 0.0352 | 28.7666 | 59000 | 0.0981 | 19.2492 | 4.1392 |
| 0.0548 | 29.2541 | 60000 | 0.0979 | 19.2404 | 4.1368 |
| 0.0507 | 29.7418 | 61000 | 0.0978 | 19.2492 | 4.1376 |
### Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
|
IvanJAjebu/blockassist-bc-thorny_slender_capybara_1755907932
|
IvanJAjebu
| 2025-08-23T00:13:17Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"thorny slender capybara",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:13:08Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- thorny slender capybara
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
kapalbalap/blockassist-bc-peaceful_wary_owl_1755907811
|
kapalbalap
| 2025-08-23T00:11:10Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"peaceful wary owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:11:05Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- peaceful wary owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
katanyasekolah/blockassist-bc-silky_sprightly_cassowary_1755906104
|
katanyasekolah
| 2025-08-23T00:10:27Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"silky sprightly cassowary",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:10:24Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- silky sprightly cassowary
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
quantumxnode/blockassist-bc-dormant_peckish_seahorse_1755906178
|
quantumxnode
| 2025-08-23T00:09:09Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"dormant peckish seahorse",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:09:06Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- dormant peckish seahorse
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
StarryAir/whisper-large-v3-turbo-sq-v2-ct2
|
StarryAir
| 2025-08-23T00:09:03Z | 0 | 0 | null |
[
"whisper",
"ctranslate2",
"faster-whisper",
"whisperx",
"albanian",
"sq",
"base_model:openai/whisper-large-v3-turbo",
"base_model:finetune:openai/whisper-large-v3-turbo",
"license:mit",
"region:us"
] | null | 2025-08-22T23:21:25Z |
---
license: mit
tags:
- whisper
- ctranslate2
- faster-whisper
- whisperx
- albanian
- sq
base_model:
- openai/whisper-large-v3-turbo
---
# Whisper Large v3 Turbo (Albanian Fine-Tuned) - CTranslate2
This is the CTranslate2 version of the fine-tuned Whisper model `Flutra/whisper-large-v3-turbo-sq-v2`, optimized for use with [Faster Whisper](https://github.com/guillaumekln/faster-whisper) and [WhisperX](https://github.com/m-bain/whisperX).
## Original Model Details
The original model was fine-tuned by [Flutra](https://huggingface.co/Flutra). All credit for the training and performance goes to the original author.
- **Base Model**: `openai/whisper-large-v3-turbo`
- **Original Repo**: [Flutra/whisper-large-v3-turbo-sq-v2](https://huggingface.co/Flutra/whisper-large-v3-turbo-sq-v2)
- **Language**: Albanian (`sq`)
- **Word Error Rate (WER)**: 6.98% on the Common Voice 19 evaluation set.
### Training Details of the Original Model
The original model was fine-tuned on the Mozilla Common Voice 19 Albanian dataset.
**Training Arguments:**
| Argument | Value |
|---|---|
| `per_device_train_batch_size` | 8 |
| `gradient_accumulation_steps` | 1 |
| `num_train_epochs` | 3 |
| `learning_rate` | 1e-5 |
| `fp16` | True |
**Final Performance:**
- **WER**: **6.98%** (at step 3500)
|
RageBlyat/gemma3manyepoch
|
RageBlyat
| 2025-08-23T00:08:46Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"text-generation-inference",
"unsloth",
"conversational",
"en",
"base_model:unsloth/gemma-3-4b-it-unsloth-bnb-4bit",
"base_model:finetune:unsloth/gemma-3-4b-it-unsloth-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] |
image-text-to-text
| 2025-08-23T00:05:50Z |
---
base_model: unsloth/gemma-3-4b-it-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- gemma3
license: apache-2.0
language:
- en
---
# Uploaded finetuned model
- **Developed by:** RageBlyat
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-3-4b-it-unsloth-bnb-4bit
This gemma3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
IvanJAjebu/blockassist-bc-thorny_slender_capybara_1755907658
|
IvanJAjebu
| 2025-08-23T00:08:45Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"thorny slender capybara",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:08:36Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- thorny slender capybara
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
kapalbalap/blockassist-bc-peaceful_wary_owl_1755907642
|
kapalbalap
| 2025-08-23T00:08:14Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"peaceful wary owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:08:00Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- peaceful wary owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
unitova/blockassist-bc-zealous_sneaky_raven_1755906009
|
unitova
| 2025-08-23T00:07:10Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"zealous sneaky raven",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:07:07Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- zealous sneaky raven
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
sheldonrobinson/Kroko-ASR
|
sheldonrobinson
| 2025-08-23T00:04:25Z | 0 | 0 | null |
[
"onnx",
"automatic-speech-recognition",
"en",
"fr",
"de",
"es",
"pt",
"license:other",
"region:us"
] |
automatic-speech-recognition
| 2025-08-23T00:04:12Z |
---
license: other
license_name: test
license_link: LICENSE
language:
- en
- fr
- de
- es
- pt
metrics:
- accuracy
- cer
pipeline_tag: automatic-speech-recognition
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
> **( update august 2025 - CC-BY models are coming soon. )**
## Overview
This is a family of low-latency streaming models designed for use on edge devices.
**Goal**: Provide faster or higher-quality performance compared to similarly sized Whisper and other models.
- **Languages**: English, French, German (7 more languages coming).
## Demos
- [**Browser Demo (CPU)**](https://huggingface.co/spaces/Banafo/Kroko-Streaming-ASR-Wasm)
*(Runs entirely in the browser using CPU.)*
- [**Gradio / Python Demo**](https://huggingface.co/spaces/Banafo/Kroko-Streaming-ASR-Python)
## License
The license is still under consideration (likely Coqui). The model is intended to be **dual-licensed**:
- **Free for non-commercial use**.
- **Affordable license for commercial use**.
## Training
- Training is done with a modified k2/Icefall pipeline.
- Inference can be performed with the standard Sherpa project.
- Silence padding and volume normalization may help produce better results.
## Acknowledgements
Special thanks to the [Lhotse](https://github.com/lhotse-speech/lhotse), [Sherpa](https://github.com/k2-fsa/sherpa), [k2](https://github.com/k2-fsa/k2), and [Icefall](https://github.com/k2-fsa/icefall) teams for their support and tools.
|
ggozzy/blockassist-bc-stubby_yapping_mandrill_1755907388
|
ggozzy
| 2025-08-23T00:04:15Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stubby yapping mandrill",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:04:09Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stubby yapping mandrill
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
IvanJAjebu/blockassist-bc-thorny_slender_capybara_1755907345
|
IvanJAjebu
| 2025-08-23T00:03:23Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"thorny slender capybara",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:03:14Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- thorny slender capybara
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
kapalbalap/blockassist-bc-peaceful_wary_owl_1755907338
|
kapalbalap
| 2025-08-23T00:03:02Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"peaceful wary owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-23T00:02:57Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- peaceful wary owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
manusiaperahu2012/blockassist-bc-roaring_long_tuna_1755905583
|
manusiaperahu2012
| 2025-08-22T23:59:24Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"roaring long tuna",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:59:21Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- roaring long tuna
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
IvanJAjebu/blockassist-bc-thorny_slender_capybara_1755907095
|
IvanJAjebu
| 2025-08-22T23:59:23Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"thorny slender capybara",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:59:15Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- thorny slender capybara
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Sayemahsjn/blockassist-bc-playful_feline_octopus_1755905927
|
Sayemahsjn
| 2025-08-22T23:58:08Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"playful feline octopus",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:58:03Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- playful feline octopus
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Kartikeya/videomae-base-finetuned-yt_short_classification-3
|
Kartikeya
| 2025-08-22T23:57:05Z | 4 | 0 |
transformers
|
[
"transformers",
"safetensors",
"videomae",
"video-classification",
"generated_from_trainer",
"base_model:MCG-NJU/videomae-base",
"base_model:finetune:MCG-NJU/videomae-base",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] |
video-classification
| 2025-08-22T00:34:11Z |
---
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-yt_short_classification-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-base-finetuned-yt_short_classification-3
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4759
- Accuracy: 0.7968
- 0 Precision: 0.7671
- 0 Recall: 0.8232
- 0 F1-score: 0.7941
- 0 Support: 6322.0
- 1 Precision: 0.8279
- 1 Recall: 0.7729
- 1 F1-score: 0.7994
- 1 Support: 6957.0
- Accuracy F1-score: 0.7968
- Macro avg Precision: 0.7975
- Macro avg Recall: 0.7980
- Macro avg F1-score: 0.7968
- Macro avg Support: 13279.0
- Weighted avg Precision: 0.7989
- Weighted avg Recall: 0.7968
- Weighted avg F1-score: 0.7969
- Weighted avg Support: 13279.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 8240
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 0 Precision | 0 Recall | 0 F1-score | 0 Support | 1 Precision | 1 Recall | 1 F1-score | 1 Support | Accuracy F1-score | Macro avg Precision | Macro avg Recall | Macro avg F1-score | Macro avg Support | Weighted avg Precision | Weighted avg Recall | Weighted avg F1-score | Weighted avg Support |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:-----------:|:--------:|:----------:|:---------:|:-----------:|:--------:|:----------:|:---------:|:-----------------:|:-------------------:|:----------------:|:------------------:|:-----------------:|:----------------------:|:-------------------:|:---------------------:|:--------------------:|
| 0.6086 | 0.0501 | 413 | 0.5774 | 0.7153 | 0.6893 | 0.7320 | 0.7100 | 6322.0 | 0.7420 | 0.7002 | 0.7205 | 6957.0 | 0.7153 | 0.7156 | 0.7161 | 0.7152 | 13279.0 | 0.7169 | 0.7153 | 0.7155 | 13279.0 |
| 0.7001 | 1.0501 | 826 | 0.5860 | 0.7059 | 0.7671 | 0.5487 | 0.6398 | 6322.0 | 0.6742 | 0.8486 | 0.7514 | 6957.0 | 0.7059 | 0.7207 | 0.6987 | 0.6956 | 13279.0 | 0.7184 | 0.7059 | 0.6983 | 13279.0 |
| 0.5946 | 2.0501 | 1239 | 0.5355 | 0.7391 | 0.7899 | 0.6156 | 0.6920 | 6322.0 | 0.7091 | 0.8512 | 0.7737 | 6957.0 | 0.7391 | 0.7495 | 0.7334 | 0.7328 | 13279.0 | 0.7476 | 0.7391 | 0.7348 | 13279.0 |
| 0.5304 | 3.0501 | 1652 | 0.5068 | 0.7592 | 0.7034 | 0.8543 | 0.7716 | 6322.0 | 0.8356 | 0.6727 | 0.7453 | 6957.0 | 0.7592 | 0.7695 | 0.7635 | 0.7585 | 13279.0 | 0.7727 | 0.7592 | 0.7578 | 13279.0 |
| 0.4982 | 4.0501 | 2065 | 0.5257 | 0.7595 | 0.7060 | 0.8481 | 0.7706 | 6322.0 | 0.8311 | 0.6790 | 0.7474 | 6957.0 | 0.7595 | 0.7685 | 0.7636 | 0.7590 | 13279.0 | 0.7715 | 0.7595 | 0.7584 | 13279.0 |
| 0.5006 | 5.0501 | 2478 | 0.4784 | 0.7736 | 0.8036 | 0.6939 | 0.7448 | 6322.0 | 0.7526 | 0.8459 | 0.7965 | 6957.0 | 0.7736 | 0.7781 | 0.7699 | 0.7706 | 13279.0 | 0.7769 | 0.7736 | 0.7719 | 13279.0 |
| 0.4356 | 6.0501 | 2891 | 0.4878 | 0.7772 | 0.7188 | 0.8738 | 0.7887 | 6322.0 | 0.8573 | 0.6894 | 0.7642 | 6957.0 | 0.7772 | 0.7881 | 0.7816 | 0.7765 | 13279.0 | 0.7914 | 0.7772 | 0.7759 | 13279.0 |
| 0.4393 | 7.0501 | 3304 | 0.4555 | 0.7884 | 0.7969 | 0.7455 | 0.7703 | 6322.0 | 0.7815 | 0.8274 | 0.8038 | 6957.0 | 0.7884 | 0.7892 | 0.7864 | 0.7871 | 13279.0 | 0.7889 | 0.7884 | 0.7879 | 13279.0 |
| 0.3447 | 8.0501 | 3717 | 0.4561 | 0.7946 | 0.8046 | 0.7509 | 0.7768 | 6322.0 | 0.7866 | 0.8343 | 0.8097 | 6957.0 | 0.7946 | 0.7956 | 0.7926 | 0.7933 | 13279.0 | 0.7951 | 0.7946 | 0.7940 | 13279.0 |
| 0.4447 | 9.0501 | 4130 | 0.4655 | 0.7793 | 0.7202 | 0.8771 | 0.7910 | 6322.0 | 0.8608 | 0.6904 | 0.7662 | 6957.0 | 0.7793 | 0.7905 | 0.7837 | 0.7786 | 13279.0 | 0.7938 | 0.7793 | 0.7780 | 13279.0 |
| 0.4503 | 10.0501 | 4543 | 0.4822 | 0.7748 | 0.8554 | 0.6343 | 0.7284 | 6322.0 | 0.7309 | 0.9025 | 0.8077 | 6957.0 | 0.7748 | 0.7931 | 0.7684 | 0.7681 | 13279.0 | 0.7902 | 0.7748 | 0.7700 | 13279.0 |
| 0.3794 | 11.0501 | 4956 | 0.5383 | 0.7577 | 0.6870 | 0.9018 | 0.7799 | 6322.0 | 0.8753 | 0.6267 | 0.7304 | 6957.0 | 0.7577 | 0.7812 | 0.7642 | 0.7552 | 13279.0 | 0.7857 | 0.7577 | 0.7540 | 13279.0 |
| 0.3636 | 12.0501 | 5369 | 0.4371 | 0.8049 | 0.7832 | 0.8160 | 0.7993 | 6322.0 | 0.8262 | 0.7947 | 0.8102 | 6957.0 | 0.8049 | 0.8047 | 0.8054 | 0.8047 | 13279.0 | 0.8057 | 0.8049 | 0.8050 | 13279.0 |
| 0.4918 | 13.0501 | 5782 | 0.4571 | 0.8010 | 0.8331 | 0.7278 | 0.7769 | 6322.0 | 0.7781 | 0.8675 | 0.8204 | 6957.0 | 0.8010 | 0.8056 | 0.7976 | 0.7986 | 13279.0 | 0.8043 | 0.8010 | 0.7997 | 13279.0 |
| 0.4904 | 14.0501 | 6195 | 0.4412 | 0.8047 | 0.7801 | 0.8211 | 0.8001 | 6322.0 | 0.8293 | 0.7897 | 0.8090 | 6957.0 | 0.8047 | 0.8047 | 0.8054 | 0.8046 | 13279.0 | 0.8059 | 0.8047 | 0.8048 | 13279.0 |
| 0.2887 | 15.0501 | 6608 | 0.4838 | 0.7829 | 0.7317 | 0.8589 | 0.7902 | 6322.0 | 0.8477 | 0.7138 | 0.7750 | 6957.0 | 0.7829 | 0.7897 | 0.7864 | 0.7826 | 13279.0 | 0.7925 | 0.7829 | 0.7823 | 13279.0 |
| 0.3773 | 16.0501 | 7021 | 0.5072 | 0.7778 | 0.7140 | 0.8896 | 0.7922 | 6322.0 | 0.8708 | 0.6762 | 0.7612 | 6957.0 | 0.7778 | 0.7924 | 0.7829 | 0.7767 | 13279.0 | 0.7961 | 0.7778 | 0.7760 | 13279.0 |
| 0.3193 | 17.0501 | 7434 | 0.4759 | 0.7968 | 0.7671 | 0.8232 | 0.7941 | 6322.0 | 0.8279 | 0.7729 | 0.7994 | 6957.0 | 0.7968 | 0.7975 | 0.7980 | 0.7968 | 13279.0 | 0.7989 | 0.7968 | 0.7969 | 13279.0 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.0.0+cu117
- Datasets 3.1.0
- Tokenizers 0.20.3
|
ggozzy/blockassist-bc-stubby_yapping_mandrill_1755906853
|
ggozzy
| 2025-08-22T23:55:27Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stubby yapping mandrill",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:55:21Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stubby yapping mandrill
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
kojeklollipop/blockassist-bc-spotted_amphibious_stork_1755905085
|
kojeklollipop
| 2025-08-22T23:53:24Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"spotted amphibious stork",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:53:19Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- spotted amphibious stork
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
roeker/blockassist-bc-quick_wiry_owl_1755906717
|
roeker
| 2025-08-22T23:53:22Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"quick wiry owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:52:38Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- quick wiry owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
TareksLab/Mithril-Prose-LLaMa-70B
|
TareksLab
| 2025-08-22T23:53:03Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2408.07990",
"base_model:ArliAI/DS-R1-Distill-70B-ArliAI-RpR-v4-Large",
"base_model:merge:ArliAI/DS-R1-Distill-70B-ArliAI-RpR-v4-Large",
"base_model:Delta-Vector/Austral-70B-Winton",
"base_model:merge:Delta-Vector/Austral-70B-Winton",
"base_model:EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1",
"base_model:merge:EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1",
"base_model:Mawdistical/Predatorial-Extasy-70B",
"base_model:merge:Mawdistical/Predatorial-Extasy-70B",
"base_model:nbeerbower/Llama-3.1-Nemotron-lorablated-70B",
"base_model:merge:nbeerbower/Llama-3.1-Nemotron-lorablated-70B",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-22T23:33:30Z |
---
base_model:
- ArliAI/DS-R1-Distill-70B-ArliAI-RpR-v4-Large
- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
- Mawdistical/Predatorial-Extasy-70B
- nbeerbower/Llama-3.1-Nemotron-lorablated-70B
- Delta-Vector/Austral-70B-Winton
library_name: transformers
tags:
- mergekit
- merge
---
# merged
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [SCE](https://arxiv.org/abs/2408.07990) merge method using [nbeerbower/Llama-3.1-Nemotron-lorablated-70B](https://huggingface.co/nbeerbower/Llama-3.1-Nemotron-lorablated-70B) as a base.
### Models Merged
The following models were included in the merge:
* [ArliAI/DS-R1-Distill-70B-ArliAI-RpR-v4-Large](https://huggingface.co/ArliAI/DS-R1-Distill-70B-ArliAI-RpR-v4-Large)
* [EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1)
* [Mawdistical/Predatorial-Extasy-70B](https://huggingface.co/Mawdistical/Predatorial-Extasy-70B)
* [Delta-Vector/Austral-70B-Winton](https://huggingface.co/Delta-Vector/Austral-70B-Winton)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: ArliAI/DS-R1-Distill-70B-ArliAI-RpR-v4-Large
- model: Delta-Vector/Austral-70B-Winton
- model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
- model: Mawdistical/Predatorial-Extasy-70B
merge_method: sce
base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
parameters:
select_topk: 0.5
dtype: bfloat16
chat_template: llama3
tokenizer:
source: base
pad_to_multiple_of: 8
```
|
takedakoji00/Llama-3.1-8B-Instruct-20250822-single-scene
|
takedakoji00
| 2025-08-22T23:53:02Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2025-08-22T23:42:57Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
lisaozill03/blockassist-bc-rugged_prickly_alpaca_1755905063
|
lisaozill03
| 2025-08-22T23:49:58Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"rugged prickly alpaca",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:49:55Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- rugged prickly alpaca
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
tepkoperta/blockassist-bc-stinky_shy_horse_1755906517
|
tepkoperta
| 2025-08-22T23:49:16Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stinky shy horse",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:48:55Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stinky shy horse
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
kapalbalap/blockassist-bc-peaceful_wary_owl_1755906370
|
kapalbalap
| 2025-08-22T23:47:15Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"peaceful wary owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:47:01Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- peaceful wary owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
helmutsukocok/blockassist-bc-loud_scavenging_kangaroo_1755904727
|
helmutsukocok
| 2025-08-22T23:45:12Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"loud scavenging kangaroo",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:45:09Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- loud scavenging kangaroo
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
sampingkaca72/blockassist-bc-armored_stealthy_elephant_1755904770
|
sampingkaca72
| 2025-08-22T23:44:48Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"armored stealthy elephant",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:44:45Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- armored stealthy elephant
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
stanfordmimi/RoentGen-v2
|
stanfordmimi
| 2025-08-22T23:43:12Z | 0 | 0 |
diffusers
|
[
"diffusers",
"safetensors",
"medical",
"chest-X-ray",
"text-to-image",
"en",
"base_model:stabilityai/stable-diffusion-2-1",
"base_model:finetune:stabilityai/stable-diffusion-2-1",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] |
text-to-image
| 2025-08-21T22:12:54Z |
---
license: mit
language:
- en
base_model:
- stabilityai/stable-diffusion-2-1
pipeline_tag: text-to-image
tags:
- medical
- chest-X-ray
---
Important: The generated images are for research and educational purposes only and cannot replace real chest x-rays for medical diagnosis.
Prior models: [RoentGen](https://huggingface.co/StanfordAIMI/roent-gen-v1-0)
By using RoentGen-v2 you confirm that you are credentialed and allowed to use [MIMIC-CXR](https://physionet.org/content/mimic-cxr/2.0.0/), and will only share access to the model with people that are also credentialed for MIMIC-CXR.
Relevant data use agreement: https://physionet.org/content/mimic-cxr/view-dua/2.0.0/
|
roeker/blockassist-bc-quick_wiry_owl_1755906107
|
roeker
| 2025-08-22T23:42:34Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"quick wiry owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:42:26Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- quick wiry owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
IvanJAjebu/blockassist-bc-thorny_slender_capybara_1755906059
|
IvanJAjebu
| 2025-08-22T23:42:04Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"thorny slender capybara",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:41:54Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- thorny slender capybara
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ggozzy/blockassist-bc-stubby_yapping_mandrill_1755906043
|
ggozzy
| 2025-08-22T23:41:58Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stubby yapping mandrill",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:41:53Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stubby yapping mandrill
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
tepkoperta/blockassist-bc-stinky_shy_horse_1755906079
|
tepkoperta
| 2025-08-22T23:41:55Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stinky shy horse",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:41:38Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stinky shy horse
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Kryptone/LyeryPretrain
|
Kryptone
| 2025-08-22T23:41:54Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-22T23:38:04Z |
# This is a backup download just in case Lyery the stupid furry removes them or renames them again for the quadrillionth time again.
|
TareksLab/Mithril-Creative-LLaMa-70B
|
TareksLab
| 2025-08-22T23:40:37Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2408.07990",
"base_model:Darkhn/L3.3-70B-Animus-V7.0",
"base_model:merge:Darkhn/L3.3-70B-Animus-V7.0",
"base_model:Sao10K/70B-L3.3-mhnnn-x1",
"base_model:merge:Sao10K/70B-L3.3-mhnnn-x1",
"base_model:Sao10K/L3.1-70B-Hanami-x1",
"base_model:merge:Sao10K/L3.1-70B-Hanami-x1",
"base_model:nbeerbower/Llama-3.1-Nemotron-lorablated-70B",
"base_model:merge:nbeerbower/Llama-3.1-Nemotron-lorablated-70B",
"base_model:zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B",
"base_model:merge:zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-22T23:20:45Z |
---
base_model:
- nbeerbower/Llama-3.1-Nemotron-lorablated-70B
- zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B
- Darkhn/L3.3-70B-Animus-V7.0
- Sao10K/70B-L3.3-mhnnn-x1
- Sao10K/L3.1-70B-Hanami-x1
library_name: transformers
tags:
- mergekit
- merge
---
# merged
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [SCE](https://arxiv.org/abs/2408.07990) merge method using [nbeerbower/Llama-3.1-Nemotron-lorablated-70B](https://huggingface.co/nbeerbower/Llama-3.1-Nemotron-lorablated-70B) as a base.
### Models Merged
The following models were included in the merge:
* [zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B](https://huggingface.co/zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B)
* [Darkhn/L3.3-70B-Animus-V7.0](https://huggingface.co/Darkhn/L3.3-70B-Animus-V7.0)
* [Sao10K/70B-L3.3-mhnnn-x1](https://huggingface.co/Sao10K/70B-L3.3-mhnnn-x1)
* [Sao10K/L3.1-70B-Hanami-x1](https://huggingface.co/Sao10K/L3.1-70B-Hanami-x1)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: Sao10K/L3.1-70B-Hanami-x1
- model: zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B
- model: Sao10K/70B-L3.3-mhnnn-x1
- model: Darkhn/L3.3-70B-Animus-V7.0
merge_method: sce
base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
parameters:
select_topk: 0.5
dtype: bfloat16
chat_template: llama3
tokenizer:
source: base
pad_to_multiple_of: 8
```
|
kapalbalap/blockassist-bc-peaceful_wary_owl_1755905893
|
kapalbalap
| 2025-08-22T23:39:10Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"peaceful wary owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:39:04Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- peaceful wary owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
mohda/blockassist-bc-regal_fierce_hummingbird_1755905885
|
mohda
| 2025-08-22T23:39:01Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"regal fierce hummingbird",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:38:55Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- regal fierce hummingbird
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
roeker/blockassist-bc-quick_wiry_owl_1755905801
|
roeker
| 2025-08-22T23:37:53Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"quick wiry owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:37:22Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- quick wiry owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ggozzy/blockassist-bc-stubby_yapping_mandrill_1755905773
|
ggozzy
| 2025-08-22T23:37:26Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stubby yapping mandrill",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:37:21Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stubby yapping mandrill
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
calegpedia/blockassist-bc-stealthy_slimy_rooster_1755904268
|
calegpedia
| 2025-08-22T23:35:27Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stealthy slimy rooster",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:35:24Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stealthy slimy rooster
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
lopkamrert/blockassist-bc-shy_bellowing_grasshopper_1755905655
|
lopkamrert
| 2025-08-22T23:34:48Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"shy bellowing grasshopper",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:34:32Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- shy bellowing grasshopper
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
AffanFaridi22/proofreadd
|
AffanFaridi22
| 2025-08-22T23:33:31Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"gemma2",
"trl",
"en",
"base_model:unsloth/gemma-2-9b-it-bnb-4bit",
"base_model:finetune:unsloth/gemma-2-9b-it-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-08-22T23:33:26Z |
---
base_model: unsloth/gemma-2-9b-it-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- gemma2
- trl
license: apache-2.0
language:
- en
---
# Uploaded model
- **Developed by:** AffanFaridi22
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2-9b-it-bnb-4bit
This gemma2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
coelacanthxyz/blockassist-bc-finicky_thriving_grouse_1755903953
|
coelacanthxyz
| 2025-08-22T23:33:08Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"finicky thriving grouse",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:33:02Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- finicky thriving grouse
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
unitova/blockassist-bc-zealous_sneaky_raven_1755904022
|
unitova
| 2025-08-22T23:32:53Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"zealous sneaky raven",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:32:49Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- zealous sneaky raven
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
lopkamrert/blockassist-bc-shy_bellowing_grasshopper_1755905503
|
lopkamrert
| 2025-08-22T23:32:15Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"shy bellowing grasshopper",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:32:00Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- shy bellowing grasshopper
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
kapalbalap/blockassist-bc-peaceful_wary_owl_1755905459
|
kapalbalap
| 2025-08-22T23:31:42Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"peaceful wary owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:31:37Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- peaceful wary owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
chainway9/blockassist-bc-untamed_quick_eel_1755903899
|
chainway9
| 2025-08-22T23:31:20Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"untamed quick eel",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:31:17Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- untamed quick eel
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
crystalline7/512901
|
crystalline7
| 2025-08-22T23:31:14Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-22T23:31:09Z |
[View on Civ Archive](https://civarchive.com/models/537733?modelVersionId=597805)
|
lautan/blockassist-bc-gentle_patterned_goat_1755903957
|
lautan
| 2025-08-22T23:31:04Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"gentle patterned goat",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:31:00Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- gentle patterned goat
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
sa7270/harm90_fin90_l9
|
sa7270
| 2025-08-22T23:30:52Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-22T23:24:41Z |
---
library_name: transformers
tags:
- trl
- sft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
Muapi/eldritch-painterly-illustration-for-flux.1-d
|
Muapi
| 2025-08-22T23:29:40Z | 0 | 0 | null |
[
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-22T23:28:10Z |
---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# Eldritch Painterly Illustration | for Flux.1 D
**Base model**: Flux.1 D
**Trained words**: illustrated
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:708747@792754", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
|
kapalbalap/blockassist-bc-peaceful_wary_owl_1755905294
|
kapalbalap
| 2025-08-22T23:29:10Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"peaceful wary owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:29:05Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- peaceful wary owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
mohda/blockassist-bc-regal_fierce_hummingbird_1755905291
|
mohda
| 2025-08-22T23:29:05Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"regal fierce hummingbird",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:28:58Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- regal fierce hummingbird
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
MohamedAhmedAE/Llama-3.2-3B-Instruct-Medical-Finetune-v3
|
MohamedAhmedAE
| 2025-08-22T23:28:46Z | 29 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-17T21:25:55Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
lopkamrert/blockassist-bc-shy_bellowing_grasshopper_1755905225
|
lopkamrert
| 2025-08-22T23:27:39Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"shy bellowing grasshopper",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:27:23Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- shy bellowing grasshopper
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Muapi/k-beauty-essence-korean-women-flux1.d
|
Muapi
| 2025-08-22T23:26:35Z | 0 | 0 | null |
[
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-22T23:26:14Z |
---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# K-Beauty Essence – Korean Women | Flux1.D
**Base model**: Flux.1 D
**Trained words**: kbeautyface
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:1760346@1992217", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
|
kapalbalap/blockassist-bc-peaceful_wary_owl_1755905135
|
kapalbalap
| 2025-08-22T23:26:19Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"peaceful wary owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:26:14Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- peaceful wary owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Muapi/thanos-flux1.d-sdxl
|
Muapi
| 2025-08-22T23:25:50Z | 0 | 0 | null |
[
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-22T23:25:35Z |
---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# Thanos - Flux1.D & SDXL
**Base model**: Flux.1 D
**Trained words**: Thanos
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:203155@847547", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
|
koloni/blockassist-bc-deadly_graceful_stingray_1755903618
|
koloni
| 2025-08-22T23:25:15Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"deadly graceful stingray",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:25:12Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- deadly graceful stingray
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
biktors9/blockassist-bc-snorting_stubby_tamarin_1755905025
|
biktors9
| 2025-08-22T23:24:34Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"snorting stubby tamarin",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:24:05Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- snorting stubby tamarin
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ggozzy/blockassist-bc-stubby_yapping_mandrill_1755904966
|
ggozzy
| 2025-08-22T23:24:00Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stubby yapping mandrill",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:23:54Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stubby yapping mandrill
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
biktors9/blockassist-bc-snorting_stubby_tamarin_1755904882
|
biktors9
| 2025-08-22T23:22:13Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"snorting stubby tamarin",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:21:40Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- snorting stubby tamarin
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
kapalbalap/blockassist-bc-peaceful_wary_owl_1755904864
|
kapalbalap
| 2025-08-22T23:21:58Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"peaceful wary owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:21:53Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- peaceful wary owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ggozzy/blockassist-bc-stubby_yapping_mandrill_1755904696
|
ggozzy
| 2025-08-22T23:19:30Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stubby yapping mandrill",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:19:24Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stubby yapping mandrill
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
sa7270/harm10_fin50_l9
|
sa7270
| 2025-08-22T23:17:47Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-22T23:10:07Z |
---
library_name: transformers
tags:
- trl
- sft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
sa7270/harm10_fin90_l9
|
sa7270
| 2025-08-22T23:17:42Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-22T23:10:05Z |
---
library_name: transformers
tags:
- trl
- sft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
sa7270/harm50_fin90_l9
|
sa7270
| 2025-08-22T23:17:40Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-22T23:10:05Z |
---
library_name: transformers
tags:
- trl
- sft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
kapalbalap/blockassist-bc-peaceful_wary_owl_1755904606
|
kapalbalap
| 2025-08-22T23:17:24Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"peaceful wary owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:17:19Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- peaceful wary owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
u-10bei/qwen3-0.6b-sft-merged
|
u-10bei
| 2025-08-22T23:17:17Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"qwen3",
"text-generation",
"sft",
"fsdp",
"qlora",
"custom",
"conversational",
"en",
"ja",
"base_model:Qwen/Qwen3-0.6B",
"base_model:finetune:Qwen/Qwen3-0.6B",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-22T23:08:01Z |
---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3-0.6B
tags:
- qwen3
- sft
- fsdp
- qlora
- custom
language:
- en
- ja
pipeline_tag: text-generation
---
# Qwen3-0.6B SFT Model
## Model Description
This is a fine-tuned version of Qwen3-0.6B using Supervised Fine-Tuning (SFT) with FSDP (Fully Sharded Data Parallel) + QLoRA (Quantized Low-Rank Adaptation) techniques.
## Training Details
### Base Model
- **Model**: Qwen/Qwen3-0.6B
- **Architecture**: Transformer-based causal language model
- **Parameters**: 0.6 billion
### Training Configuration
- **Method**: FSDP + QLoRA
- **Quantization**: 4-bit QLoRA
- **LoRA Parameters**:
- r: 64
- alpha: 16
- dropout: 0.1
- target: linear layers
- **Hardware**: 8x H100 80GB HBM3
- **Precision**: bfloat16
- **Flash Attention**: Enabled
### Training Hyperparameters
- **Epochs**: 1
- **Micro Batch Size**: 1
- **Gradient Accumulation Steps**: 16
- **Learning Rate**: 1e-4
- **Scheduler**: Cosine with warmup
- **Warmup Ratio**: 0.03
- **Optimizer**: AdamW
- **Sequence Length**: 1024
### Dataset
- Custom SFT dataset (SFT_004_origin_4.parquet)
- Validation split: 10%
- Sample packing enabled for training efficiency
## Model Performance
The model has been trained for efficient instruction following and maintains the original Qwen3 capabilities while being optimized for custom tasks.
## Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
# Load model and tokenizer
model = AutoModelForCausalLM.from_pretrained(
"u-10bei/qwen3-0.6b-sft-merged",
torch_dtype=torch.bfloat16,
device_map="auto",
trust_remote_code=True
)
tokenizer = AutoTokenizer.from_pretrained(
"u-10bei/qwen3-0.6b-sft-merged",
trust_remote_code=True
)
# Chat format
messages = [
{"role": "user", "content": "Hello! How can I help you today?"}
]
# Format conversation
text = tokenizer.apply_chat_template(
messages,
tokenize=False,
add_generation_prompt=True
)
# Tokenize
inputs = tokenizer(text, return_tensors="pt")
# Generate
with torch.no_grad():
outputs = model.generate(
**inputs,
max_new_tokens=256,
do_sample=True,
temperature=0.7,
top_p=0.9,
eos_token_id=tokenizer.eos_token_id,
pad_token_id=tokenizer.pad_token_id
)
# Decode response
response = tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True)
print(response)
```
### Direct Chat Format
```python
# Manual chat formatting
prompt = "<|im_start|>user\nHello! How are you?<|im_end|>\n<|im_start|>assistant\n"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(
**inputs,
max_new_tokens=100,
do_sample=True,
temperature=0.7,
eos_token_id=tokenizer.convert_tokens_to_ids("<|im_end|>")
)
response = tokenizer.decode(outputs[0], skip_special_tokens=False)
print(response)
```
## Special Tokens
- **BOS Token**: `<|im_start|>`
- **EOS Token**: `<|im_end|>`
- **UNK Token**: `<|endoftext|>`
- **PAD Token**: `<|endoftext|>`
## Technical Specifications
### Model Architecture
- **Attention**: Flash Attention 2 (training and inference)
- **Precision**: bfloat16 native support
- **Context Length**: 1024 tokens (training), extensible for inference
- **Vocabulary Size**: 151,669 tokens
### Optimization Features
- **Memory Efficient**: FSDP sharding reduces memory footprint
- **Quantization Ready**: QLoRA-compatible for efficient fine-tuning
- **Multi-GPU**: Optimized for distributed inference
## Training Infrastructure
- **Distributed Training**: FSDP (Fully Sharded Data Parallel)
- **Communication**: NCCL with Ethernet backend
- **Memory Management**: Expandable segments, optimized allocation
- **Monitoring**: Weights & Biases integration
## Limitations
- This model is optimized for the specific training dataset and may not generalize to all use cases
- Context length is limited to 1024 tokens during training
- Performance may vary depending on the specific task and input format
## Ethical Considerations
This model inherits the capabilities and limitations of the base Qwen3-0.6B model. Users should be aware of potential biases and use the model responsibly.
## Citation
If you use this model, please cite:
```bibtex
@model{qwen3-0.6b-sft-merged,
title={Qwen3-0.6B SFT Model with FSDP+QLoRA},
author={u-10bei},
year={2025},
url={https://huggingface.co/u-10bei/qwen3-0.6b-sft-merged}
}
```
## Model Card Authors
- u-10bei
## Training Date
August 2025
---
*This model was trained using advanced distributed training techniques (FSDP + QLoRA) on high-performance H100 hardware for optimal efficiency and scalability.*
|
roeker/blockassist-bc-quick_wiry_owl_1755904569
|
roeker
| 2025-08-22T23:16:54Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"quick wiry owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:16:47Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- quick wiry owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
biktors9/blockassist-bc-snorting_stubby_tamarin_1755904556
|
biktors9
| 2025-08-22T23:16:38Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"snorting stubby tamarin",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:16:15Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- snorting stubby tamarin
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ulzii11/simple-classifier
|
ulzii11
| 2025-08-22T23:15:16Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-22T04:13:52Z |
# Simple Classifier
A toy model that classifies 10-feature input into positive/negative.
|
biktors9/blockassist-bc-snorting_stubby_tamarin_1755904418
|
biktors9
| 2025-08-22T23:14:18Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"snorting stubby tamarin",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:13:55Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- snorting stubby tamarin
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
sampingkaca72/blockassist-bc-armored_stealthy_elephant_1755902925
|
sampingkaca72
| 2025-08-22T23:13:26Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"armored stealthy elephant",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:13:23Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- armored stealthy elephant
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ihsanridzi/blockassist-bc-wiry_flexible_owl_1755902811
|
ihsanridzi
| 2025-08-22T23:12:58Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"wiry flexible owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:12:55Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- wiry flexible owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
indoempatnol/blockassist-bc-fishy_wary_swan_1755902716
|
indoempatnol
| 2025-08-22T23:12:44Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"fishy wary swan",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:12:41Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- fishy wary swan
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
mohda/blockassist-bc-regal_fierce_hummingbird_1755904272
|
mohda
| 2025-08-22T23:12:01Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"regal fierce hummingbird",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:11:55Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- regal fierce hummingbird
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Muapi/starwars-characters
|
Muapi
| 2025-08-22T23:10:49Z | 0 | 0 | null |
[
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-22T23:10:41Z |
---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# StarWars characters
**Base model**: Flux.1 D
**Trained words**: xwingflux
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:135850@768388", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
|
Muapi/dreamgirl-enhance-detailer
|
Muapi
| 2025-08-22T23:10:36Z | 0 | 0 | null |
[
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-22T23:10:18Z |
---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# Dreamgirl enhance detailer
**Base model**: Flux.1 D
**Trained words**:
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:998515@1118977", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
|
Muapi/royal-portrait-digital-painting-style-flux
|
Muapi
| 2025-08-22T23:09:23Z | 0 | 0 | null |
[
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-22T23:09:11Z |
---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# Royal Portrait Digital Painting Style [FLUX]
**Base model**: Flux.1 D
**Trained words**: A RoyalPortrait-Style digital painting
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:1260272@1421055", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
|
kapalbalap/blockassist-bc-peaceful_wary_owl_1755904079
|
kapalbalap
| 2025-08-22T23:08:57Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"peaceful wary owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T23:08:52Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- peaceful wary owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
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