modelId
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| last_modified
timestamp[us, tz=UTC]date 2020-02-15 11:33:14
2025-09-12 06:31:37
| downloads
int64 0
223M
| likes
int64 0
11.7k
| library_name
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4.05k
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timestamp[us, tz=UTC]date 2022-03-02 23:29:04
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yousufdemiyer/blockassist-bc-winged_striped_pigeon_1757551064
|
yousufdemiyer
| 2025-09-11T00:37:53Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"alert colorful pigeon",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-11T00:37:50Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- alert colorful pigeon
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Hyprlyf/hypr1-instruct
|
Hyprlyf
| 2025-09-11T00:37:47Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"language-model",
"causal-lm",
"chat",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-09-11T00:20:16Z |
---
library_name: transformers
tags: [language-model, causal-lm, chat, text-generation]
---
# Model Card for Model ID
This is a custom AI language model developed by Hyprlyf Technologies for general-purpose conversational AI and code generation tasks. It can be used for NLP tasks including chat, summarization, and reasoning.
## Model Details
### Model Description
This model is a transformer-based causal language model trained on proprietary and open-source datasets for generating high-quality text and understanding conversational context.
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:** [Hyprlyf_Technologies]
- **Funded by:** [Hyprlyf Technologies]
- **Shared by:** [Hyprlyf]
- **Model type:** [Causal Language Model (Transformer)]
- **Language(s) (NLP):** [English]
- **License:** [More Information Needed]
- **Finetuned from model:** [gpt2]
### 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]
|
abadkibriya3524/blockassist-bc-timid_padded_ape_1757551005
|
abadkibriya3524
| 2025-09-11T00:36:58Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"timid padded ape",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-11T00:36:54Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- timid padded ape
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
mccallpasty/blockassist-bc-quiet_insectivorous_barracuda_1757550931
|
mccallpasty
| 2025-09-11T00:35:44Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"quiet insectivorous barracuda",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-11T00:35:40Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- quiet insectivorous barracuda
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
najmanipa6/blockassist-bc-small_invisible_ant_1757550572
|
najmanipa6
| 2025-09-11T00:29:42Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"small invisible ant",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-11T00:29:39Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- small invisible ant
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
brisondey/blockassist-bc-insectivorous_energetic_koala_1757550397
|
brisondey
| 2025-09-11T00:26:51Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"insectivorous energetic koala",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-11T00:26:47Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- insectivorous energetic koala
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Reihaneh/wav2vec2_sk_mono_50_epochs_4
|
Reihaneh
| 2025-09-11T00:24:22Z | 0 | 0 |
transformers
|
[
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2025-09-11T00:24:21Z |
---
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]
|
sevenditaifur/blockassist-bc-screeching_gentle_dinosaur_1757550007
|
sevenditaifur
| 2025-09-11T00:20:15Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"screeching gentle dinosaur",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-11T00:20:12Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- screeching gentle dinosaur
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
etraberylpichtrip/blockassist-bc-regal_singing_tapir_1757549772
|
etraberylpichtrip
| 2025-09-11T00:16:27Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"regal singing tapir",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-11T00:16:23Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- regal singing tapir
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
bah63843/blockassist-bc-plump_fast_antelope_1757549741
|
bah63843
| 2025-09-11T00:16:25Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"plump fast antelope",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-11T00:16:21Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- plump fast antelope
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
bah63843/blockassist-bc-plump_fast_antelope_1757549590
|
bah63843
| 2025-09-11T00:13:58Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"plump fast antelope",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-11T00:13:54Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- plump fast antelope
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
moscowx21/Qwen3-0.6B-Gensyn-Swarm-coiled_soaring_warthog
|
moscowx21
| 2025-09-11T00:10:25Z | 187 | 0 |
transformers
|
[
"transformers",
"safetensors",
"qwen3",
"text-generation",
"rl-swarm",
"genrl-swarm",
"grpo",
"gensyn",
"I am coiled_soaring_warthog",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-09-01T14:37:57Z |
---
library_name: transformers
tags:
- rl-swarm
- genrl-swarm
- grpo
- gensyn
- I am coiled_soaring_warthog
---
# 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]
|
oekaltegabi/blockassist-bc-tame_dormant_hyena_1757549152
|
oekaltegabi
| 2025-09-11T00:06:01Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"tame dormant hyena",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-11T00:05:57Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- tame dormant hyena
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
saimidrahimihge/blockassist-bc-slender_tall_ant_1757549096
|
saimidrahimihge
| 2025-09-11T00:05:26Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"slender tall ant",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-11T00:05:22Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- slender tall ant
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
dhisowyeioe85373/blockassist-bc-reptilian_arctic_lemur_1757548871
|
dhisowyeioe85373
| 2025-09-11T00:01:25Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"reptilian arctic lemur",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-11T00:01:21Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- reptilian arctic lemur
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
zankich/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-FP8-DYNAMIC
|
zankich
| 2025-09-11T00:00:55Z | 0 | 0 | null |
[
"safetensors",
"qwen3_moe",
"causal-lm",
"moe",
"mixture-of-experts",
"qwen",
"distillation",
"svd",
"lora-merged",
"code-generation",
"fp8",
"base_model:BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32",
"base_model:quantized:BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32",
"license:apache-2.0",
"compressed-tensors",
"region:us"
] | null | 2025-09-10T23:52:00Z |
---
license: apache-2.0
base_model:
- BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32
tags:
- causal-lm
- moe
- mixture-of-experts
- qwen
- distillation
- svd
- lora-merged
- code-generation
- fp8
---
**Original Model Card**
--
# Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill
## Model Description
THIS IS THE FP32 UNQUANTIZED VERSION
This model is a distilled version of **`Qwen/Qwen3-30B-A3B-Instruct`** designed to inherit the reasoning and behavioral characteristics of its much larger teacher model, **`deepseek-ai/DeepSeek-V3.1`**.
It is the result of applying a LoRA created via an SVD-based distillation pipeline, and then merging those weights into the base model. The core of this process was to transfer the nuanced knowledge from a **62-layer, 256-expert teacher model** into the more efficient **48-layer, 128-expert architecture** of the student model.
The primary goal was to explore the high-fidelity transfer of complex reasoning patterns, particularly those encoded within the Mixture-of-Experts (MoE) layers, from a frontier-class model to a consumer-accessible one.
## The Distillation Methodology
This model was not trained in a conventional sense. Instead, it was created using a layer-by-layer distillation SVD based distillation process.
### Core Components
* **Teacher Model:** `deepseek-ai/DeepSeek-V3.1`.
* **Student Model:** `Qwen/Qwen3-30B-A3B-Thinking-2507`.
* **LoRA Rank:** A high rank of **`r=2048`** was used for all modules to ensure a comprehensive capture of information from the teacher model.
### The Distillation Pipeline
For each corresponding layer in the student and teacher, the following pipeline was executed:
1. **Teacher Layer Interpolation (SLERP):** For student layers that fall between two teacher layers (based on a sigmoid mapping), Spherical Linear Interpolation (SLERP) was used to create a geometrically sound blend of the teacher's weights. This preserves the integrity of the high-dimensional representations.
2. **SVD Projection:** The core of the distillation. The (potentially blended) teacher layer's weight matrix was decomposed using a randomized SVD algorithm. The top 2048 most significant components were selected and reconstructed to fit the student layer's smaller dimensions. This high-rank projection is designed for maximum fidelity.
3. **Generalized Procrustes Analysis:** After projection, the newly created "synthetic" tensor was optimally aligned with the student's original pre-trained tensor using a hardened least-squares solver. This alignment minimizes representational distance before calculating the final difference, with added checks to prevent numerical instability.
4. **DARE-TIES Purification:** The difference tensor (`Distilled - Aligned Student`) was then purified using the DARE-TIES methodology. This process drops a significant percentage (80%) of the lowest-magnitude values, treating them as noise, and then rescale the remaining important differences. This creates a clean, high-signal delta for the final LoRA.
### Mixture-of-Experts (MoE) Distillation
The standout feature of this process is the full distillation of the MoE layers, which are critical for nuanced, context-dependent reasoning.
* **Expert Fingerprinting & Clustering:** To map the 256 teacher experts to the 128 student experts, each teacher expert was "fingerprinted" by concatenating its constituent weight matrices. **FAISS-GPU K-Means clustering** was then used to efficiently group these 256 fingerprints into 128 distinct clusters based on their geometric similarity.
* **Advanced Expert Synthesis:** Each of the student's 128 experts was synthesized from a weighted blend of the teacher experts assigned to its cluster. This blend is not a simple average; instead, it uses an SVD-based reconstruction from the top teacher experts (ranked by similarity to the cluster centroid) to create a new, synthetic expert that represents the core "concept" of that cluster. This more advanced synthesis aims to create novel, yet faithful, expert representations.
## Intended Use
This model is intended for use as a general-purpose model for tasks such as coding, problem solving, general questions etc. It is designed to be a more capable and nuanced reasoner than its base model.
* **Primary Use:** Complex instruction-following, reasoning tasks, and creative generation.
* **Out of Scope:** Its knowledge cutoff is from its original training (2024), and it has not been aligned for specific safety or conversational chatbot roles beyond its base tuning.
## Critical Usage Note
Testing indicates that this model performs best when using the recommended inference settings of its **685B teacher model**, not the settings for the 30B base model. It is hypothesized that the distillation was enough to alter the model's output characteristics to closely match the teacher's. Please refer to the teacher model's documentation for optimal inference parameters. Although in some cases you may find that using the 30B models inference settings work better. It seems to be context dependent and may require some tuning to find the best settings for your use case.
|
SDVW32W/VIDEO.18.Trump.ally.Csdharlie.Kirkss.shooting.video.reddit.Utah.Charlie.Kirk.Vidsdo
|
SDVW32W
| 2025-09-11T00:00:41Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-09-10T23:59:39Z |
<a href="https://clixy.cfd/wecwe"> 🌐 VIDEO.18.Trump.ally.Csdharlie.Kirkss.shooting.video.reddit.Utah.Charlie.Kirk.Vidsdo
🔴 ➤►DOWNLOAD👉👉🟢 ➤ <a href="https://clixy.cfd/wecwe"> 🌐 VIDEO.18.Trump.ally.Csdharlie.Kirkss.shooting.video.reddit.Utah.Charlie.Kirk.Vidsdo
<a href="https://clixy.cfd/wecwe"> 🌐 VIDEO.18.Trump.ally.Csdharlie.Kirkss.shooting.video.reddit.Utah.Charlie.Kirk.Vidsdo
🔴 ➤►DOWNLOAD👉👉🟢 ➤ <a href="https://clixy.cfd/wecwe"> 🌐 VIDEO.18.Trump.ally.Csdharlie.Kirkss.shooting.video.reddit.Utah.Charlie.Kirk.Vidsdo
|
serendipity0306/ppo-Pyramids
|
serendipity0306
| 2025-09-10T23:59:43Z | 0 | 0 |
ml-agents
|
[
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] |
reinforcement-learning
| 2025-09-10T23:59:39Z |
---
library_name: ml-agents
tags:
- Pyramids
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
- A *longer tutorial* to understand how works ML-Agents:
https://huggingface.co/learn/deep-rl-course/unit5/introduction
### Resume the training
```bash
mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
```
### Watch your Agent play
You can watch your agent **playing directly in your browser**
1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
2. Step 1: Find your model_id: serendipity0306/ppo-Pyramids
3. Step 2: Select your *.nn /*.onnx file
4. Click on Watch the agent play 👀
|
mccomasadxdwu/blockassist-bc-dense_lithe_chinchilla_1757548757
|
mccomasadxdwu
| 2025-09-10T23:59:25Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"dense lithe chinchilla",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:59:22Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- dense lithe chinchilla
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
kafa22/blockassist-bc-regal_leggy_hummingbird_1757548701
|
kafa22
| 2025-09-10T23:59:01Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"regal leggy hummingbird",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:58:58Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- regal leggy hummingbird
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
mistie4525/blockassist-bc-hairy_sprightly_puffin_1757548599
|
mistie4525
| 2025-09-10T23:56:53Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"fleecy flapping pigeon",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:56:49Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- fleecy flapping pigeon
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
bah63843/blockassist-bc-plump_fast_antelope_1757548448
|
bah63843
| 2025-09-10T23:54:49Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"plump fast antelope",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:54:44Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- plump fast antelope
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
neylanduoh/blockassist-bc-prehistoric_iridescent_puffin_1757548354
|
neylanduoh
| 2025-09-10T23:52:43Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"prehistoric iridescent puffin",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:52:39Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- prehistoric iridescent puffin
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
jyyhhhhyghh/blockassist-bc-slithering_stinging_wombat_1757548304
|
jyyhhhhyghh
| 2025-09-10T23:51:57Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"slithering stinging wombat",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:51:53Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- slithering stinging wombat
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
maratttt/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-wiry_foxy_ocelot
|
maratttt
| 2025-09-10T23:50:51Z | 159 | 0 |
transformers
|
[
"transformers",
"safetensors",
"qwen2",
"text-generation",
"rl-swarm",
"genrl-swarm",
"grpo",
"gensyn",
"I am wiry_foxy_ocelot",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-30T12:03:52Z |
---
library_name: transformers
tags:
- rl-swarm
- genrl-swarm
- grpo
- gensyn
- I am wiry_foxy_ocelot
---
# 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]
|
xvjxuddydusvd/blockassist-bc-sniffing_placid_mink_1757548149
|
xvjxuddydusvd
| 2025-09-10T23:49:17Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"sniffing placid mink",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:49:14Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- sniffing placid mink
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
arzaanshikder7562/blockassist-bc-darting_sniffing_rhino_1757548103
|
arzaanshikder7562
| 2025-09-10T23:48:32Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"darting sniffing rhino",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:48:28Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- darting sniffing rhino
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
hbfc7671/blockassist-bc-mighty_small_fox_1757548078
|
hbfc7671
| 2025-09-10T23:48:06Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"mighty small fox",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:48:03Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- mighty small fox
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
terrancejykn/blockassist-bc-colorful_curious_macaque_1757547948
|
terrancejykn
| 2025-09-10T23:45:56Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"nocturnal sneaky porpoise",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:45:53Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- nocturnal sneaky porpoise
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
hjsiwiwy8653/blockassist-bc-humming_sly_viper_1757547859
|
hjsiwiwy8653
| 2025-09-10T23:44:50Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"humming sly viper",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:44:46Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- humming sly viper
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
rhacshxfaslims/blockassist-bc-winged_lethal_elk_1757547736
|
rhacshxfaslims
| 2025-09-10T23:42:33Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"insectivorous prehistoric mouse",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:42:26Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- insectivorous prehistoric mouse
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF
|
mradermacher
| 2025-09-10T23:41:56Z | 0 | 0 |
transformers
|
[
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:pot99rta/PatriMaid-12B-Forgottenslop-NeonMell",
"base_model:quantized:pot99rta/PatriMaid-12B-Forgottenslop-NeonMell",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2025-09-10T22:58:11Z |
---
base_model: pot99rta/PatriMaid-12B-Forgottenslop-NeonMell
language:
- en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- mergekit
- merge
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
weighted/imatrix quants of https://huggingface.co/pot99rta/PatriMaid-12B-Forgottenslop-NeonMell
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF).***
static quants are available at https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.
## Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own qwuants) |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ1_S.gguf) | i1-IQ1_S | 3.1 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ1_M.gguf) | i1-IQ1_M | 3.3 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.7 | |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.0 | |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ2_S.gguf) | i1-IQ2_S | 4.2 | |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ2_M.gguf) | i1-IQ2_M | 4.5 | |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q2_K_S.gguf) | i1-Q2_K_S | 4.6 | very low quality |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q2_K.gguf) | i1-Q2_K | 4.9 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.0 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.4 | |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.6 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ3_S.gguf) | i1-IQ3_S | 5.7 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ3_M.gguf) | i1-IQ3_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.2 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q3_K_L.gguf) | i1-Q3_K_L | 6.7 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ4_XS.gguf) | i1-IQ4_XS | 6.8 | |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q4_0.gguf) | i1-Q4_0 | 7.2 | fast, low quality |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ4_NL.gguf) | i1-IQ4_NL | 7.2 | prefer IQ4_XS |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.2 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q4_K_M.gguf) | i1-Q4_K_M | 7.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q4_1.gguf) | i1-Q4_1 | 7.9 | |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q5_K_S.gguf) | i1-Q5_K_S | 8.6 | |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q5_K_M.gguf) | i1-Q5_K_M | 8.8 | |
| [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q6_K.gguf) | i1-Q6_K | 10.2 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
## FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.
## Thanks
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
<!-- end -->
|
redanvaishyorke/blockassist-bc-lightfooted_winged_shark_1757547706
|
redanvaishyorke
| 2025-09-10T23:41:55Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"flapping beaked owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:41:52Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- flapping beaked owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
saimqureshi656/mms-tts-urd-speaker1-finetuned
|
saimqureshi656
| 2025-09-10T23:40:14Z | 0 | 0 |
transformers
|
[
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2025-09-10T23:40:12Z |
---
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:**
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## 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]
|
navymarsmotby/blockassist-bc-chattering_iridescent_albatross_1757547561
|
navymarsmotby
| 2025-09-10T23:39:34Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"chattering iridescent albatross",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:39:30Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- chattering iridescent albatross
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
jrfszy/blockassist-bc-barky_wary_sandpiper_1757547493
|
jrfszy
| 2025-09-10T23:38:22Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"barky wary sandpiper",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:38:19Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- barky wary sandpiper
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
dunckahlebeyeailee/blockassist-bc-enormous_tough_spider_1757547403
|
dunckahlebeyeailee
| 2025-09-10T23:36:58Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stocky large dove",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:36:53Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stocky large dove
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
tjsvdicfaslism/blockassist-bc-keen_bellowing_crocodile_1757547289
|
tjsvdicfaslism
| 2025-09-10T23:34:58Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"keen bellowing crocodile",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:34:55Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- keen bellowing crocodile
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
bsksisysisbss/blockassist-bc-galloping_scampering_cobra_1757547230
|
bsksisysisbss
| 2025-09-10T23:34:01Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"galloping scampering cobra",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:33:58Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- galloping scampering cobra
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
goblin95107/blockassist-bc-quiet_slithering_beaver_1757546952
|
goblin95107
| 2025-09-10T23:31:53Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"quiet slithering beaver",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:31:48Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- quiet slithering beaver
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
duongnalor/blockassist-bc-webbed_wily_mongoose_1757546646
|
duongnalor
| 2025-09-10T23:24:14Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"webbed wily mongoose",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:24:11Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- webbed wily mongoose
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
canadayfawuh/blockassist-bc-flapping_wise_rhino_1757546639
|
canadayfawuh
| 2025-09-10T23:24:13Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"webbed wily mongoose",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:24:09Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- webbed wily mongoose
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
bah63843/blockassist-bc-plump_fast_antelope_1757546454
|
bah63843
| 2025-09-10T23:21:43Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"plump fast antelope",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:21:38Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- plump fast antelope
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ahumadaxhg/blockassist-bc-alert_spotted_dolphin_1757546449
|
ahumadaxhg
| 2025-09-10T23:20:57Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"alert spotted dolphin",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:20:54Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- alert spotted dolphin
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
enrikhoxhat2/blockassist-bc-whiskered_reptilian_bison_1757546195
|
enrikhoxhat2
| 2025-09-10T23:16:44Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"whiskered reptilian bison",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:16:40Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- whiskered reptilian bison
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
heckersfrank/blockassist-bc-arctic_invisible_jackal_1757546160
|
heckersfrank
| 2025-09-10T23:16:17Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"arctic invisible jackal",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:16:13Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- arctic invisible jackal
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
jemijorna596/blockassist-bc-reclusive_monstrous_pig_1757546017
|
jemijorna596
| 2025-09-10T23:13:45Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"reclusive monstrous pig",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:13:42Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- reclusive monstrous pig
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
mccomasadxdwu/blockassist-bc-dense_lithe_chinchilla_1757545998
|
mccomasadxdwu
| 2025-09-10T23:13:27Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"dense lithe chinchilla",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:13:24Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- dense lithe chinchilla
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
trfyuiyfg/blockassist-bc-yawning_soaring_cheetah_1757545884
|
trfyuiyfg
| 2025-09-10T23:11:37Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"yawning soaring cheetah",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:11:33Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- yawning soaring cheetah
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
kolendaedyth9/blockassist-bc-fluffy_mammalian_platypus_1757545762
|
kolendaedyth9
| 2025-09-10T23:09:31Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"fluffy mammalian platypus",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:09:28Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- fluffy mammalian platypus
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
cwayneconnor/blockassist-bc-mute_loud_lynx_1757545624
|
cwayneconnor
| 2025-09-10T23:08:26Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"mute loud lynx",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:08:19Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- mute loud lynx
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
chittickisaias/blockassist-bc-fishy_meek_baboon_1757545619
|
chittickisaias
| 2025-09-10T23:07:12Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"slender amphibious cheetah",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:07:08Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- slender amphibious cheetah
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
wolfeduodrw/blockassist-bc-graceful_hulking_lemur_1757545596
|
wolfeduodrw
| 2025-09-10T23:06:44Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"graceful hulking lemur",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:06:41Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- graceful hulking lemur
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
domagallgino/blockassist-bc-foxy_cunning_fly_1757545590
|
domagallgino
| 2025-09-10T23:06:39Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"foxy cunning fly",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:06:36Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- foxy cunning fly
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
hamilsordar5647/blockassist-bc-chattering_hairy_woodpecker_1757545428
|
hamilsordar5647
| 2025-09-10T23:04:02Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"chattering hairy woodpecker",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:03:59Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- chattering hairy woodpecker
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
fariastracy/blockassist-bc-sprightly_sedate_jaguar_1757545337
|
fariastracy
| 2025-09-10T23:02:25Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"sprightly sedate jaguar",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:02:22Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- sprightly sedate jaguar
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
jrnaregaija/blockassist-bc-stubby_plump_raven_1757545310
|
jrnaregaija
| 2025-09-10T23:02:01Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stubby plump raven",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:01:58Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stubby plump raven
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
iyaadshikder1546/blockassist-bc-pensive_agile_bee_1757545227
|
iyaadshikder1546
| 2025-09-10T23:00:36Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"pensive agile bee",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T23:00:33Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- pensive agile bee
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
vipuluellalilywarga/blockassist-bc-untamed_arctic_parrot_1757545070
|
vipuluellalilywarga
| 2025-09-10T22:58:20Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"untamed arctic parrot",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:58:16Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- untamed arctic parrot
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
shikderazriel6453/blockassist-bc-burrowing_thorny_gibbon_1757545076
|
shikderazriel6453
| 2025-09-10T22:58:05Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"burrowing thorny gibbon",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:58:01Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- burrowing thorny gibbon
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
bah63843/blockassist-bc-plump_fast_antelope_1757544980
|
bah63843
| 2025-09-10T22:57:01Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"plump fast antelope",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:56:53Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- plump fast antelope
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Daverrrr75/Instareal
|
Daverrrr75
| 2025-09-10T22:56:30Z | 0 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"base_model:ostris/wan22_i2v_14b_orbit_shot_lora",
"base_model:adapter:ostris/wan22_i2v_14b_orbit_shot_lora",
"license:mit",
"region:us"
] |
text-to-image
| 2025-09-10T22:55:25Z |
---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/download (1).jpg
text: '-'
base_model: ostris/wan22_i2v_14b_orbit_shot_lora
instance_prompt: null
license: mit
---
# Instareal
<Gallery />
## Model description
Wan Instareal
## Download model
[Download](/Daverrrr75/Instareal/tree/main) them in the Files & versions tab.
|
canadayfawuh/blockassist-bc-flapping_wise_rhino_1757544970
|
canadayfawuh
| 2025-09-10T22:56:23Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"flapping wise rhino",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:56:19Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- flapping wise rhino
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
aleebaster/blockassist-bc-sly_eager_boar_1757543414
|
aleebaster
| 2025-09-10T22:55:51Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"sly eager boar",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:55:48Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- sly eager boar
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
creisle/Llama-3.1-8B-Instruct-CIViC-Fact-2025.03.25
|
creisle
| 2025-09-10T22:52:36Z | 0 | 0 |
peft
|
[
"peft",
"safetensors",
"llama",
"en",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:adapter:meta-llama/Llama-3.1-8B-Instruct",
"4-bit",
"bitsandbytes",
"region:us"
] | null | 2025-07-10T03:14:28Z |
---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
library_name: peft
language:
- en
---
This model was trained using the CIViC-Fact dataset (v2025.03.25) and evaluated based on stance classification accuracy (NEI, SUPPORTS, REFUTES).
|
Berom0227/Semantic-Concern-SLM-Phi-adapter
|
Berom0227
| 2025-09-10T22:49:48Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:microsoft/phi-4",
"base_model:finetune:microsoft/phi-4",
"endpoints_compatible",
"region:us"
] | null | 2025-08-12T13:45:18Z |
---
base_model: microsoft/phi-4
library_name: transformers
model_name: Semantic-Concern-SLM-Phi-adapter
tags:
- generated_from_trainer
- trl
- sft
licence: license
---
# Model Card for Semantic-Concern-SLM-Phi-adapter
This model is a fine-tuned version of [microsoft/phi-4](https://huggingface.co/microsoft/phi-4).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="Berom0227/Semantic-Concern-SLM-Phi-adapter", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
```
## Training procedure
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/gobeumsu-university-of-sheffield/Untangling-Multi-Concern-Commits-with-Small-Language-Models/runs/do0wg5c7)
This model was trained with SFT.
### Framework versions
- TRL: 0.21.0
- Transformers: 4.55.4
- Pytorch: 2.5.1+cu121
- Datasets: 4.0.0
- Tokenizers: 0.21.4
## Citations
Cite TRL as:
```bibtex
@misc{vonwerra2022trl,
title = {{TRL: Transformer Reinforcement Learning}},
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
year = 2020,
journal = {GitHub repository},
publisher = {GitHub},
howpublished = {\url{https://github.com/huggingface/trl}}
}
```
|
oyshimimi50/blockassist-bc-alert_colorful_pigeon_1757544331
|
oyshimimi50
| 2025-09-10T22:45:44Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"alert colorful pigeon",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:45:40Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- alert colorful pigeon
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
taniyatoha637/blockassist-bc-eager_flapping_anaconda_1757544283
|
taniyatoha637
| 2025-09-10T22:44:52Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"eager flapping anaconda",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:44:49Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- eager flapping anaconda
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
sedillopaftb/blockassist-bc-sturdy_scavenging_cobra_1757544247
|
sedillopaftb
| 2025-09-10T22:44:22Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"sturdy scavenging cobra",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:44:17Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- sturdy scavenging cobra
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
fariastracy/blockassist-bc-sprightly_sedate_jaguar_1757544165
|
fariastracy
| 2025-09-10T22:42:53Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"sprightly sedate jaguar",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:42:50Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- sprightly sedate jaguar
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
haknadia299/blockassist-bc-clawed_vocal_jellyfish_1757543967
|
haknadia299
| 2025-09-10T22:39:51Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"clawed vocal jellyfish",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:39:36Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- clawed vocal jellyfish
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
neylanduoh/blockassist-bc-prehistoric_iridescent_puffin_1757543834
|
neylanduoh
| 2025-09-10T22:37:22Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"prehistoric iridescent puffin",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:37:19Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- prehistoric iridescent puffin
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
foltzjmso/blockassist-bc-deadly_aquatic_sparrow_1757543412
|
foltzjmso
| 2025-09-10T22:30:25Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"deadly aquatic sparrow",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:30:21Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- deadly aquatic sparrow
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
jrnaregaija/blockassist-bc-stubby_plump_raven_1757543319
|
jrnaregaija
| 2025-09-10T22:28:48Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stubby plump raven",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:28:45Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stubby plump raven
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
omerbektass/blockassist-bc-keen_fast_giraffe_1757543251
|
omerbektass
| 2025-09-10T22:27:53Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"keen fast giraffe",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:27:49Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- keen fast giraffe
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
sekirr/blockassist-bc-masked_tenacious_whale_1757542898
|
sekirr
| 2025-09-10T22:22:17Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"masked tenacious whale",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:22:14Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- masked tenacious whale
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
SoarAILabs/KiteResolve-20B
|
SoarAILabs
| 2025-09-10T22:20:59Z | 471 | 1 |
transformers
|
[
"transformers",
"safetensors",
"gguf",
"gpt_oss",
"text-generation",
"merge-conflicts",
"git-automation",
"developer-tools",
"code-generation",
"version-control",
"devops",
"conversational",
"dataset:SoarAILabs/merge-conflict-dataset",
"base_model:openai/gpt-oss-20b",
"base_model:quantized:openai/gpt-oss-20b",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-09-07T00:31:26Z |
---
license: apache-2.0
base_model: openai/gpt-oss-20b
tags:
- merge-conflicts
- git-automation
- developer-tools
- code-generation
- version-control
- devops
languages:
- en
pipeline_tag: text-generation
library_name: transformers
datasets:
- SoarAILabs/merge-conflict-dataset
metrics:
- name: exact_match
type: exact_match
value: 22.0
- name: token_f1
type: f1
value: 0.617
- name: bleu
type: bleu
value: 50.82
- name: rouge-l
type: rouge
value: 58.64
- name: levenshtein_sim
type: similarity
value: 0.549
- name: char_similarity
type: similarity
value: 0.765
model-index:
- name: KiteResolve-20B
results:
- task:
type: text-generation
name: Merge Conflict Resolution
metrics:
- name: Exact Match
type: exact_match
value: 22.0
- name: Token F1
type: f1
value: 0.617
- name: BLEU
type: bleu
value: 50.82
- name: ROUGE-L
type: rouge
value: 58.64
- name: Levenshtein Similarity
type: similarity
value: 0.549
- name: Character Similarity
type: similarity
value: 0.765
---
# 🪁 KiteResolve-20B: AI-Powered Merge Conflict Resolution
*Developed by [Soar AI Labs](https://huggingface.co/SoarAILabs)*
<div align="center">
<img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg" alt="License">
<img src="https://img.shields.io/badge/Model-20B%20Parameters-red.svg" alt="Parameters">
<img src="https://img.shields.io/badge/Task-Code%20Generation-green.svg" alt="Task">
<img src="https://img.shields.io/badge/BLEU-54.83-orange.svg" alt="BLEU Score">
</div>
## 🚀 Model Description
**KiteResolve-20B** is a fine-tuned version of GPT-OSS-20B specifically engineered for **automated Git merge conflict resolution**. This model transforms the tedious process of manually resolving merge conflicts into an intelligent, automated workflow that understands code semantics across multiple programming languages.
### ✨ Key Features
- 🎯 **20% Exact Match Accuracy** on real-world merge conflicts
- 📈 **12% Token-F1 Score Improvement** over base model
- 🌐 **Multi-Language Support**: Java, JavaScript, Python, C#, TypeScript, and more
- ⚡ **Fast Inference**: Optimized for CLI and webhook integrations
- 🔧 **Production Ready**: Designed for enterprise Git workflows
## 📊 Performance Metrics
| Model | Exact Match | Token F1 | BLEU | ROUGE-L | Char Sim |
| ------------------- | ----------- | --------- | --------- | --------- | --------- |
| **codellama:13b** | 0.00 | 0.193 | 13.28 | 0.208 | 0.710 |
| **llama3.1:8b** | 0.04 | 0.583 | 50.59 | 0.610 | 0.818 |
| **gpt-oss:20b** | **0.24** | 0.549 | 47.19 | 0.572 | 0.736 |
| **KiteResolve-20B** | 0.22 | **0.617** | **50.82** | **0.586** | **0.765** |
*Evaluated on 50 held-out samples from real-world merge conflicts.*
## 🛠️ Usage
### Quick Start
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
from unsloth.chat_templates import get_chat_template
# Load the model
model = AutoModelForCausalLM.from_pretrained("SoarAILabs/KiteResolve-20B")
tokenizer = AutoTokenizer.from_pretrained("SoarAILabs/KiteResolve-20B")
tokenizer = get_chat_template(tokenizer, chat_template="gpt-oss")
# Resolve a merge conflict
conflict = """
<<<<<<< ours
function calculateTotal(items) {
return items.reduce((sum, item) => sum + item.price, 0);
}
=======
function calculateTotal(items) {
return items.map(item => item.price).reduce((a, b) => a + b, 0);
}
>>>>>>> theirs
"""
messages = [{"role": "user", "content": f"Resolve this merge conflict:\n```{conflict}```"}]
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer([prompt], return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=200, do_sample=False)
resolution = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(resolution)
```
### Ollama 🦙️
```bash
ollama run hf.co/SoarAILabs/KiteResolve-20B/model-q4_k_m.gguf
```
|
b9504148/blockassist-bc-thorny_whiskered_opossum_1757542831
|
b9504148
| 2025-09-10T22:20:46Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"thorny whiskered opossum",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:20:41Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- thorny whiskered opossum
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
vipuluellalilywarga/blockassist-bc-untamed_arctic_parrot_1757542528
|
vipuluellalilywarga
| 2025-09-10T22:16:09Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"untamed arctic parrot",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:16:05Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- untamed arctic parrot
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
jalkafariya/blockassist-bc-stealthy_hoarse_toucan_1757542473
|
jalkafariya
| 2025-09-10T22:14:42Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stealthy hoarse toucan",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:14:39Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stealthy hoarse toucan
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
nessaislebobbi/blockassist-bc-hairy_burrowing_crow_1757542446
|
nessaislebobbi
| 2025-09-10T22:14:14Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"sturdy scavenging cobra",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:14:11Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- sturdy scavenging cobra
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
youuotty/blockassist-bc-reclusive_deadly_scorpion_1757542273
|
youuotty
| 2025-09-10T22:11:36Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"reclusive deadly scorpion",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:11:13Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- reclusive deadly scorpion
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
burgbobby/blockassist-bc-lithe_wild_boar_1757542268
|
burgbobby
| 2025-09-10T22:11:22Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"lithe wild boar",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:11:18Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- lithe wild boar
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
brisondey/blockassist-bc-insectivorous_energetic_koala_1757542263
|
brisondey
| 2025-09-10T22:11:16Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"insectivorous energetic koala",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:11:13Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- insectivorous energetic koala
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
alexiseeifl/blockassist-bc-fleecy_flapping_pigeon_1757542120
|
alexiseeifl
| 2025-09-10T22:08:48Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"fleecy flapping pigeon",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:08:45Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- fleecy flapping pigeon
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
neylanduoh/blockassist-bc-prehistoric_iridescent_puffin_1757542060
|
neylanduoh
| 2025-09-10T22:07:49Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"prehistoric iridescent puffin",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:07:46Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- prehistoric iridescent puffin
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
houselaidatfdolanjn/blockassist-bc-hulking_mottled_ox_1757542012
|
houselaidatfdolanjn
| 2025-09-10T22:07:27Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"hulking mottled ox",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:07:24Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- hulking mottled ox
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
gtallec-kog/Llama-3.2-1B-pruned-on-1-16-ARC-FT
|
gtallec-kog
| 2025-09-10T22:07:23Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-09-10T17:42:30Z |
---
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]
|
othodinanursal/blockassist-bc-invisible_singing_snake_1757541977
|
othodinanursal
| 2025-09-10T22:06:34Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"tough subtle tortoise",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:06:30Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- tough subtle tortoise
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
stealths/blockassist
|
stealths
| 2025-09-10T22:05:38Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"skilled armored python",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:05:30Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- skilled armored python
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
arzaanshikder7562/blockassist-bc-darting_sniffing_rhino_1757541842
|
arzaanshikder7562
| 2025-09-10T22:04:10Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"darting sniffing rhino",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T22:04:07Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- darting sniffing rhino
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
zaimkibriya7859/blockassist-bc-exotic_soaring_beaver_1757541353
|
zaimkibriya7859
| 2025-09-10T21:56:02Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"exotic soaring beaver",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T21:55:59Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- exotic soaring beaver
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
pempekmangedd/blockassist-bc-patterned_sturdy_dolphin_1757539645
|
pempekmangedd
| 2025-09-10T21:52:10Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"patterned sturdy dolphin",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T21:52:05Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- patterned sturdy dolphin
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
phospho-app/MrC4t-ACT-BeadDataset2-gqbrg
|
phospho-app
| 2025-09-10T21:49:02Z | 0 | 0 |
phosphobot
|
[
"phosphobot",
"safetensors",
"act",
"robotics",
"dataset:MrC4t/BeadDataset2",
"region:us"
] |
robotics
| 2025-09-10T20:54:20Z |
---
datasets: MrC4t/BeadDataset2
library_name: phosphobot
pipeline_tag: robotics
model_name: act
tags:
- phosphobot
- act
task_categories:
- robotics
---
# act model - 🧪 phosphobot training pipeline
- **Dataset**: [MrC4t/BeadDataset2](https://huggingface.co/datasets/MrC4t/BeadDataset2)
- **Wandb run id**: None
## This model was trained using **[🧪phospho](https://phospho.ai)**
Training was successful, try it out on your robot!
## Training parameters
```text
{
"batch_size": 40,
"steps": 10000,
"save_freq": 5000
}
```
📖 **Get Started**: [docs.phospho.ai](https://docs.phospho.ai?utm_source=huggingface_readme)
🤖 **Get your robot**: [robots.phospho.ai](https://robots.phospho.ai?utm_source=huggingface_readme)
|
forkkyty/blockassist-bc-peaceful_crested_raven_1757540688
|
forkkyty
| 2025-09-10T21:45:13Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"peaceful crested raven",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T21:44:48Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- peaceful crested raven
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
rodrigoburgd/blockassist-bc-scruffy_untamed_hare_1757540454
|
rodrigoburgd
| 2025-09-10T21:41:02Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"unseen yawning chicken",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T21:40:59Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- unseen yawning chicken
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
najmanipa6/blockassist-bc-small_invisible_ant_1757540357
|
najmanipa6
| 2025-09-10T21:39:25Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"small invisible ant",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T21:39:22Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- small invisible ant
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
bah63843/blockassist-bc-plump_fast_antelope_1757540306
|
bah63843
| 2025-09-10T21:39:05Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"plump fast antelope",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T21:39:00Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- plump fast antelope
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
csjxbxsjcbckc/blockassist-bc-aquatic_tangled_mouse_1757539860
|
csjxbxsjcbckc
| 2025-09-10T21:31:08Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"aquatic tangled mouse",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T21:31:05Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- aquatic tangled mouse
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
terrancejykn/blockassist-bc-colorful_curious_macaque_1757539854
|
terrancejykn
| 2025-09-10T21:31:04Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"colorful curious macaque",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-10T21:31:00Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- colorful curious macaque
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Subsets and Splits
Filtered Qwen2.5 Distill Models
Identifies specific configurations of models by filtering cards that contain 'distill', 'qwen2.5', '7b' while excluding certain base models and incorrect model ID patterns, uncovering unique model variants.
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