modelId
stringlengths 5
139
| author
stringlengths 2
42
| 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
stringclasses 555
values | tags
listlengths 1
4.05k
| pipeline_tag
stringclasses 55
values | createdAt
timestamp[us, tz=UTC]date 2022-03-02 23:29:04
2025-09-12 06:31:07
| card
stringlengths 11
1.01M
|
|---|---|---|---|---|---|---|---|---|---|
seraphimzzzz/44280
|
seraphimzzzz
| 2025-08-19T23:05:37Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:05:34Z |
[View on Civ Archive](https://civarchive.com/models/58312?modelVersionId=62763)
|
ultratopaz/66568
|
ultratopaz
| 2025-08-19T23:05:13Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:05:10Z |
[View on Civ Archive](https://civarchive.com/models/90115?modelVersionId=95960)
|
calegpedia/blockassist-bc-stealthy_slimy_rooster_1755643065
|
calegpedia
| 2025-08-19T23:05:10Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"stealthy slimy rooster",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T23:05:06Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- stealthy slimy rooster
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ultratopaz/54874
|
ultratopaz
| 2025-08-19T23:04:40Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:04:38Z |
[View on Civ Archive](https://civarchive.com/models/75239?modelVersionId=79980)
|
crystalline7/65816
|
crystalline7
| 2025-08-19T23:04:33Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:04:30Z |
[View on Civ Archive](https://civarchive.com/models/89255?modelVersionId=95009)
|
ultratopaz/49808
|
ultratopaz
| 2025-08-19T23:04:09Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:04:06Z |
[View on Civ Archive](https://civarchive.com/models/66953?modelVersionId=71614)
|
ultratopaz/43216
|
ultratopaz
| 2025-08-19T23:04:02Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:03:59Z |
[View on Civ Archive](https://civarchive.com/models/56621?modelVersionId=61044)
|
seraphimzzzz/55282
|
seraphimzzzz
| 2025-08-19T23:03:45Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:03:43Z |
[View on Civ Archive](https://civarchive.com/models/75887?modelVersionId=80622)
|
crystalline7/52226
|
crystalline7
| 2025-08-19T23:03:29Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:03:25Z |
[View on Civ Archive](https://civarchive.com/models/70957?modelVersionId=75646)
|
crystalline7/42524
|
crystalline7
| 2025-08-19T23:03:12Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:03:09Z |
[View on Civ Archive](https://civarchive.com/models/55594?modelVersionId=59988)
|
crystalline7/46077
|
crystalline7
| 2025-08-19T23:03:04Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:03:01Z |
[View on Civ Archive](https://civarchive.com/models/61266?modelVersionId=65736)
|
seraphimzzzz/478981
|
seraphimzzzz
| 2025-08-19T23:02:45Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:02:40Z |
[View on Civ Archive](https://civarchive.com/models/506592?modelVersionId=563066)
|
crystalline7/21589
|
crystalline7
| 2025-08-19T23:02:34Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:02:30Z |
[View on Civ Archive](https://civarchive.com/models/21796?modelVersionId=26015)
|
thiernomdou/Karamoo
|
thiernomdou
| 2025-08-19T23:02:22Z | 0 | 0 |
diffusers
|
[
"diffusers",
"flux",
"lora",
"replicate",
"text-to-image",
"en",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] |
text-to-image
| 2025-08-19T22:53:37Z |
---
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: "black-forest-labs/FLUX.1-dev"
pipeline_tag: text-to-image
# widget:
# - text: >-
# prompt
# output:
# url: https://...
instance_prompt: karamoo
---
# Karamoo
<Gallery />
## About this LoRA
This is a [LoRA](https://replicate.com/docs/guides/working-with-loras) for the FLUX.1-dev text-to-image model. It can be used with diffusers or ComfyUI.
It was trained on [Replicate](https://replicate.com/) using AI toolkit: https://replicate.com/ostris/flux-dev-lora-trainer/train
## Trigger words
You should use `karamoo` to trigger the image generation.
## Run this LoRA with an API using Replicate
```py
import replicate
input = {
"prompt": "karamoo",
"lora_weights": "https://huggingface.co/thiernomdou/Karamoo/resolve/main/lora.safetensors"
}
output = replicate.run(
"black-forest-labs/flux-dev-lora",
input=input
)
for index, item in enumerate(output):
with open(f"output_{index}.webp", "wb") as file:
file.write(item.read())
```
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('thiernomdou/Karamoo', weight_name='lora.safetensors')
image = pipeline('karamoo').images[0]
```
For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
## Training details
- Steps: 1000
- Learning rate: 0.0004
- LoRA rank: 16
## Contribute your own examples
You can use the [community tab](https://huggingface.co/thiernomdou/Karamoo/discussions) to add images that show off what you’ve made with this LoRA.
|
katanyasekolah/blockassist-bc-silky_sprightly_cassowary_1755642890
|
katanyasekolah
| 2025-08-19T23:01:56Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"silky sprightly cassowary",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T23:01:52Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- silky sprightly cassowary
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ultratopaz/87314
|
ultratopaz
| 2025-08-19T23:01:51Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:01:49Z |
[View on Civ Archive](https://civarchive.com/models/112043?modelVersionId=120937)
|
ultratopaz/93085
|
ultratopaz
| 2025-08-19T23:01:42Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:01:35Z |
[View on Civ Archive](https://civarchive.com/models/118503?modelVersionId=128554)
|
seraphimzzzz/63601
|
seraphimzzzz
| 2025-08-19T23:01:16Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:01:12Z |
[View on Civ Archive](https://civarchive.com/models/68607?modelVersionId=92238)
|
EldritchLavender/SpookieBrain
|
EldritchLavender
| 2025-08-19T23:01:12Z | 3 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-04-30T12:20:32Z |
---
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]
|
crystalline7/67939
|
crystalline7
| 2025-08-19T23:00:55Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:00:52Z |
[View on Civ Archive](https://civarchive.com/models/91623?modelVersionId=97665)
|
dgambettaphd/M_mis_run2_gen6_WXS_doc1000_synt64_lr1e-04_acm_LANG
|
dgambettaphd
| 2025-08-19T23:00:42Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"unsloth",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2025-08-19T23:00:27Z |
---
library_name: transformers
tags:
- unsloth
---
# 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]
|
ultratopaz/42516
|
ultratopaz
| 2025-08-19T23:00:29Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:00:25Z |
[View on Civ Archive](https://civarchive.com/models/55583?modelVersionId=59976)
|
ver-video-intimo-de-Clip-abigail-lalama/ver-video-intimo-de-Clip-abigail-lalama
|
ver-video-intimo-de-Clip-abigail-lalama
| 2025-08-19T23:00:27Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:00:15Z |
<animated-image data-catalyst=""><a href="https://tinyurl.com/5ye5v3bc?leaked-viral-video" rel="nofollow" data-target="animated-image.originalLink"><img src="https://static.wixstatic.com/media/b249f9_adac8f70fb3f45b88691696c77de18f3~mv2.gif" alt="Foo" data-canonical-src="https://static.wixstatic.com/media/b249f9_adac8f70fb3f45b88691696c77de18f3~mv2.gif" style="max-width: 100%; display: inline-block;" data-target="animated-image.originalImage"></a>
|
crystalline7/100394
|
crystalline7
| 2025-08-19T23:00:12Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T23:00:09Z |
[View on Civ Archive](https://civarchive.com/models/125655?modelVersionId=137280)
|
ultratopaz/51095
|
ultratopaz
| 2025-08-19T22:58:38Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:58:36Z |
[View on Civ Archive](https://civarchive.com/models/69116?modelVersionId=73794)
|
crystalline7/19054
|
crystalline7
| 2025-08-19T22:58:22Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:58:19Z |
[View on Civ Archive](https://civarchive.com/models/12317?modelVersionId=22899)
|
seraphimzzzz/12626
|
seraphimzzzz
| 2025-08-19T22:58:13Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:58:13Z |
[View on Civ Archive](https://civarchive.com/models/12317?modelVersionId=14582)
|
AnonymousCS/xlmr_immigration_combo6_4
|
AnonymousCS
| 2025-08-19T22:58:10Z | 0 | 0 |
transformers
|
[
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/xlm-roberta-large",
"base_model:finetune:FacebookAI/xlm-roberta-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-classification
| 2025-08-19T22:53:33Z |
---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlmr_immigration_combo6_4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlmr_immigration_combo6_4
This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1129
- Accuracy: 0.9704
- 1-f1: 0.9550
- 1-recall: 0.9421
- 1-precision: 0.9683
- Balanced Acc: 0.9633
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.1642 | 1.0 | 25 | 0.1001 | 0.9756 | 0.9619 | 0.9266 | 1.0 | 0.9633 |
| 0.1556 | 2.0 | 50 | 0.0998 | 0.9730 | 0.9583 | 0.9305 | 0.9877 | 0.9624 |
| 0.1171 | 3.0 | 75 | 0.0989 | 0.9756 | 0.9619 | 0.9266 | 1.0 | 0.9633 |
| 0.0795 | 4.0 | 100 | 0.1169 | 0.9692 | 0.9518 | 0.9151 | 0.9916 | 0.9556 |
| 0.0484 | 5.0 | 125 | 0.1129 | 0.9704 | 0.9550 | 0.9421 | 0.9683 | 0.9633 |
### Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
|
crystalline7/13305
|
crystalline7
| 2025-08-19T22:57:44Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:57:40Z |
[View on Civ Archive](https://civarchive.com/models/13173?modelVersionId=15525)
|
ultratopaz/63808
|
ultratopaz
| 2025-08-19T22:57:34Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:57:32Z |
[View on Civ Archive](https://civarchive.com/models/86958?modelVersionId=92511)
|
seraphimzzzz/26100
|
seraphimzzzz
| 2025-08-19T22:57:26Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:57:22Z |
[View on Civ Archive](https://civarchive.com/models/26393?modelVersionId=31601)
|
quantumxnode/blockassist-bc-dormant_peckish_seahorse_1755642670
|
quantumxnode
| 2025-08-19T22:57:15Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"dormant peckish seahorse",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T22:57:12Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- dormant peckish seahorse
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
koloni/blockassist-bc-deadly_graceful_stingray_1755642634
|
koloni
| 2025-08-19T22:57:12Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"deadly graceful stingray",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T22:57:08Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- deadly graceful stingray
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
seraphimzzzz/778755
|
seraphimzzzz
| 2025-08-19T22:57:06Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:57:03Z |
[View on Civ Archive](https://civarchive.com/models/376220?modelVersionId=869936)
|
crystalline7/112237
|
crystalline7
| 2025-08-19T22:56:46Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:56:44Z |
[View on Civ Archive](https://civarchive.com/models/136795?modelVersionId=150921)
|
crystalline7/16814
|
crystalline7
| 2025-08-19T22:56:00Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:55:55Z |
[View on Civ Archive](https://civarchive.com/models/17067?modelVersionId=20153)
|
GeneroGral/Mistral-Nemo-12B_BBQ_Stereo_MERGED7_dropout_batch-wordMatch
|
GeneroGral
| 2025-08-19T22:55:55Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"mistral",
"text-generation",
"text-generation-inference",
"unsloth",
"trl",
"sft",
"en",
"base_model:unsloth/Mistral-Nemo-Base-2407",
"base_model:finetune:unsloth/Mistral-Nemo-Base-2407",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-19T22:51:20Z |
---
base_model: unsloth/Mistral-Nemo-Base-2407
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
- sft
license: apache-2.0
language:
- en
---
# Uploaded model
- **Developed by:** GeneroGral
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Mistral-Nemo-Base-2407
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
ultratopaz/59092
|
ultratopaz
| 2025-08-19T22:55:12Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:55:09Z |
[View on Civ Archive](https://civarchive.com/models/81480?modelVersionId=86456)
|
chainway9/blockassist-bc-untamed_quick_eel_1755642411
|
chainway9
| 2025-08-19T22:55:05Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"untamed quick eel",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T22:55:01Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- untamed quick eel
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
mang3dd/blockassist-bc-tangled_slithering_alligator_1755642520
|
mang3dd
| 2025-08-19T22:55:02Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"tangled slithering alligator",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T22:54:57Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- tangled slithering alligator
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ultratopaz/38152
|
ultratopaz
| 2025-08-19T22:55:02Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:55:02Z |
[View on Civ Archive](https://civarchive.com/models/47805?modelVersionId=52399)
|
crystalline7/76501
|
crystalline7
| 2025-08-19T22:54:34Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:54:34Z |
[View on Civ Archive](https://civarchive.com/models/18234?modelVersionId=108518)
|
seraphimzzzz/22838
|
seraphimzzzz
| 2025-08-19T22:54:28Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:54:23Z |
[View on Civ Archive](https://civarchive.com/models/18234?modelVersionId=27622)
|
ultratopaz/23412
|
ultratopaz
| 2025-08-19T22:53:27Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:53:22Z |
[View on Civ Archive](https://civarchive.com/models/23721?modelVersionId=28338)
|
ultratopaz/24443
|
ultratopaz
| 2025-08-19T22:52:49Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:52:44Z |
[View on Civ Archive](https://civarchive.com/models/24707?modelVersionId=29556)
|
crystalline7/38157
|
crystalline7
| 2025-08-19T22:52:38Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:52:33Z |
[View on Civ Archive](https://civarchive.com/models/47820?modelVersionId=52412)
|
AnonymousCS/xlmr_immigration_combo6_3
|
AnonymousCS
| 2025-08-19T22:52:26Z | 0 | 0 |
transformers
|
[
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/xlm-roberta-large",
"base_model:finetune:FacebookAI/xlm-roberta-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-classification
| 2025-08-19T22:48:23Z |
---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlmr_immigration_combo6_3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlmr_immigration_combo6_3
This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2175
- Accuracy: 0.9293
- 1-f1: 0.8968
- 1-recall: 0.9228
- 1-precision: 0.8723
- Balanced Acc: 0.9277
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.1432 | 1.0 | 25 | 0.2095 | 0.9242 | 0.8921 | 0.9421 | 0.8472 | 0.9287 |
| 0.0923 | 2.0 | 50 | 0.1510 | 0.9563 | 0.9328 | 0.9112 | 0.9555 | 0.9450 |
| 0.1044 | 3.0 | 75 | 0.1735 | 0.9524 | 0.9284 | 0.9266 | 0.9302 | 0.9460 |
| 0.1035 | 4.0 | 100 | 0.2175 | 0.9293 | 0.8968 | 0.9228 | 0.8723 | 0.9277 |
### Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
|
seraphimzzzz/23439
|
seraphimzzzz
| 2025-08-19T22:52:26Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:52:22Z |
[View on Civ Archive](https://civarchive.com/models/23740?modelVersionId=28362)
|
ultratopaz/85990
|
ultratopaz
| 2025-08-19T22:52:05Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:52:02Z |
[View on Civ Archive](https://civarchive.com/models/39509?modelVersionId=119927)
|
seraphimzzzz/34079
|
seraphimzzzz
| 2025-08-19T22:51:56Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:51:51Z |
[View on Civ Archive](https://civarchive.com/models/39509?modelVersionId=45600)
|
thanobidex/blockassist-bc-colorful_shiny_hare_1755642359
|
thanobidex
| 2025-08-19T22:51:48Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"colorful shiny hare",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T22:51:45Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- colorful shiny hare
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
crystalline7/25191
|
crystalline7
| 2025-08-19T22:51:37Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:51:32Z |
[View on Civ Archive](https://civarchive.com/models/25486?modelVersionId=30512)
|
ultratopaz/62902
|
ultratopaz
| 2025-08-19T22:51:27Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:51:24Z |
[View on Civ Archive](https://civarchive.com/models/19239?modelVersionId=91302)
|
nkerr/sv3.4-bigbird-roberta-large
|
nkerr
| 2025-08-19T22:51:18Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"big_bird",
"text-classification",
"generated_from_trainer",
"base_model:google/bigbird-roberta-large",
"base_model:finetune:google/bigbird-roberta-large",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-classification
| 2025-08-19T21:52:07Z |
---
library_name: transformers
license: apache-2.0
base_model: google/bigbird-roberta-large
tags:
- generated_from_trainer
model-index:
- name: sv3.4-bigbird-roberta-large
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sv3.4-bigbird-roberta-large
This model is a fine-tuned version of [google/bigbird-roberta-large](https://huggingface.co/google/bigbird-roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5284
- Mse: 0.3063
- Mae: 0.5284
- Rmse: 0.5534
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | Rmse |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|
| 0.2148 | 0.1548 | 50 | 0.6346 | 0.4310 | 0.6346 | 0.6565 |
| 0.2317 | 0.3096 | 100 | 0.4964 | 0.2705 | 0.4964 | 0.5201 |
| 0.22 | 0.4644 | 150 | 0.5909 | 0.3752 | 0.5909 | 0.6125 |
| 0.1846 | 0.6192 | 200 | 0.5494 | 0.3274 | 0.5494 | 0.5722 |
| 0.1858 | 0.7740 | 250 | 0.5280 | 0.3046 | 0.5280 | 0.5520 |
| 0.1886 | 0.9288 | 300 | 0.5284 | 0.3063 | 0.5284 | 0.5534 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0
|
seraphimzzzz/25253
|
seraphimzzzz
| 2025-08-19T22:51:10Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:51:06Z |
[View on Civ Archive](https://civarchive.com/models/19239?modelVersionId=30605)
|
neko-llm/Qwen3-235B-test5
|
neko-llm
| 2025-08-19T22:51:04Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:Qwen/Qwen3-235B-A22B",
"base_model:finetune:Qwen/Qwen3-235B-A22B",
"endpoints_compatible",
"region:us"
] | null | 2025-08-19T12:49:08Z |
---
base_model: Qwen/Qwen3-235B-A22B
library_name: transformers
model_name: Qwen3-235B-test5
tags:
- generated_from_trainer
- trl
- sft
licence: license
---
# Model Card for Qwen3-235B-test5
This model is a fine-tuned version of [Qwen/Qwen3-235B-A22B](https://huggingface.co/Qwen/Qwen3-235B-A22B).
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="neko-llm/Qwen3-235B-test5", 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/neko-llm/huggingface/runs/r6shuvcx)
This model was trained with SFT.
### Framework versions
- TRL: 0.19.0
- Transformers: 4.54.1
- Pytorch: 2.6.0
- 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}}
}
```
|
seraphimzzzz/19008
|
seraphimzzzz
| 2025-08-19T22:50:59Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:50:55Z |
[View on Civ Archive](https://civarchive.com/models/19239?modelVersionId=22829)
|
crystalline7/77154
|
crystalline7
| 2025-08-19T22:50:50Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:50:47Z |
[View on Civ Archive](https://civarchive.com/models/35216?modelVersionId=109272)
|
seraphimzzzz/75514
|
seraphimzzzz
| 2025-08-19T22:50:31Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:50:28Z |
[View on Civ Archive](https://civarchive.com/models/53478?modelVersionId=107222)
|
ultratopaz/41221
|
ultratopaz
| 2025-08-19T22:50:22Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:50:18Z |
[View on Civ Archive](https://civarchive.com/models/53478?modelVersionId=57838)
|
crystalline7/18666
|
crystalline7
| 2025-08-19T22:50:11Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:50:07Z |
[View on Civ Archive](https://civarchive.com/models/18877?modelVersionId=22403)
|
crystalline7/81271
|
crystalline7
| 2025-08-19T22:49:40Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:49:37Z |
[View on Civ Archive](https://civarchive.com/models/17612?modelVersionId=114290)
|
crystalline7/25540
|
crystalline7
| 2025-08-19T22:49:31Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:49:26Z |
[View on Civ Archive](https://civarchive.com/models/17612?modelVersionId=30958)
|
crystalline7/56907
|
crystalline7
| 2025-08-19T22:49:21Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:49:18Z |
[View on Civ Archive](https://civarchive.com/models/24156?modelVersionId=83175)
|
ultratopaz/24129
|
ultratopaz
| 2025-08-19T22:49:12Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:49:07Z |
[View on Civ Archive](https://civarchive.com/models/24156?modelVersionId=28870)
|
crystalline7/80429
|
crystalline7
| 2025-08-19T22:49:02Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:48:59Z |
[View on Civ Archive](https://civarchive.com/models/26639?modelVersionId=113278)
|
Mahran4vp/results
|
Mahran4vp
| 2025-08-19T22:48:39Z | 0 | 0 |
transformers
|
[
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:Mahran4vp/gpt2-hoodie-final",
"base_model:finetune:Mahran4vp/gpt2-hoodie-final",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-19T22:48:06Z |
---
library_name: transformers
base_model: Mahran4vp/gpt2-hoodie-final
tags:
- generated_from_trainer
model-index:
- name: results
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [Mahran4vp/gpt2-hoodie-final](https://huggingface.co/Mahran4vp/gpt2-hoodie-final) on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- Transformers 4.55.2
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4
|
crystalline7/26964
|
crystalline7
| 2025-08-19T22:48:34Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:48:29Z |
[View on Civ Archive](https://civarchive.com/models/27347?modelVersionId=32745)
|
crystalline7/88151
|
crystalline7
| 2025-08-19T22:48:13Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:48:10Z |
[View on Civ Archive](https://civarchive.com/models/113358?modelVersionId=122445)
|
seraphimzzzz/16883
|
seraphimzzzz
| 2025-08-19T22:47:59Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:47:57Z |
[View on Civ Archive](https://civarchive.com/models/17096?modelVersionId=20186)
|
crystalline7/37649
|
crystalline7
| 2025-08-19T22:47:45Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:47:43Z |
[View on Civ Archive](https://civarchive.com/models/47019?modelVersionId=51608)
|
crystalline7/65487
|
crystalline7
| 2025-08-19T22:47:32Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:47:30Z |
[View on Civ Archive](https://civarchive.com/models/88911?modelVersionId=94611)
|
ultratopaz/47611
|
ultratopaz
| 2025-08-19T22:47:26Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:47:23Z |
[View on Civ Archive](https://civarchive.com/models/63501?modelVersionId=68061)
|
seraphimzzzz/44098
|
seraphimzzzz
| 2025-08-19T22:47:18Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:47:16Z |
[View on Civ Archive](https://civarchive.com/models/58002?modelVersionId=62451)
|
crystalline7/99930
|
crystalline7
| 2025-08-19T22:47:12Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:47:09Z |
[View on Civ Archive](https://civarchive.com/models/125177?modelVersionId=136725)
|
seraphimzzzz/51847
|
seraphimzzzz
| 2025-08-19T22:47:05Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:47:02Z |
[View on Civ Archive](https://civarchive.com/models/70446?modelVersionId=75104)
|
dsisodia/ai-nidhi
|
dsisodia
| 2025-08-19T22:47:03Z | 0 | 0 |
diffusers
|
[
"diffusers",
"flux",
"lora",
"replicate",
"text-to-image",
"en",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] |
text-to-image
| 2025-08-19T21:45:07Z |
---
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: "black-forest-labs/FLUX.1-dev"
pipeline_tag: text-to-image
# widget:
# - text: >-
# prompt
# output:
# url: https://...
instance_prompt: AINIDHI
---
# Ai Nidhi
<Gallery />
## About this LoRA
This is a [LoRA](https://replicate.com/docs/guides/working-with-loras) for the FLUX.1-dev text-to-image model. It can be used with diffusers or ComfyUI.
It was trained on [Replicate](https://replicate.com/) using AI toolkit: https://replicate.com/ostris/flux-dev-lora-trainer/train
## Trigger words
You should use `AINIDHI` to trigger the image generation.
## Run this LoRA with an API using Replicate
```py
import replicate
input = {
"prompt": "AINIDHI",
"lora_weights": "https://huggingface.co/dsisodia/ai-nidhi/resolve/main/lora.safetensors"
}
output = replicate.run(
"black-forest-labs/flux-dev-lora",
input=input
)
for index, item in enumerate(output):
with open(f"output_{index}.webp", "wb") as file:
file.write(item.read())
```
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('dsisodia/ai-nidhi', weight_name='lora.safetensors')
image = pipeline('AINIDHI').images[0]
```
For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
## Training details
- Steps: 1200
- Learning rate: 0.0004
- LoRA rank: 32
## Contribute your own examples
You can use the [community tab](https://huggingface.co/dsisodia/ai-nidhi/discussions) to add images that show off what you’ve made with this LoRA.
|
crystalline7/51698
|
crystalline7
| 2025-08-19T22:46:56Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:46:52Z |
[View on Civ Archive](https://civarchive.com/models/20833?modelVersionId=74853)
|
lilTAT/blockassist-bc-gentle_rugged_hare_1755643544
|
lilTAT
| 2025-08-19T22:46:11Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"gentle rugged hare",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T22:46:07Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- gentle rugged hare
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
leandrobarrososouza/RCS
|
leandrobarrososouza
| 2025-08-19T22:45:44Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2025-08-19T22:45:44Z |
---
license: apache-2.0
---
|
crystalline7/9861
|
crystalline7
| 2025-08-19T22:45:40Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:45:35Z |
[View on Civ Archive](https://civarchive.com/models/8772?modelVersionId=10357)
|
crystalline7/185162
|
crystalline7
| 2025-08-19T22:45:15Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:45:12Z |
[View on Civ Archive](https://civarchive.com/models/212601?modelVersionId=239496)
|
seraphimzzzz/32237
|
seraphimzzzz
| 2025-08-19T22:44:55Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:44:51Z |
[View on Civ Archive](https://civarchive.com/models/35827?modelVersionId=42023)
|
ultratopaz/6908
|
ultratopaz
| 2025-08-19T22:44:46Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:44:41Z |
[View on Civ Archive](https://civarchive.com/models/5764?modelVersionId=6719)
|
seraphimzzzz/637434
|
seraphimzzzz
| 2025-08-19T22:44:35Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:44:33Z |
[View on Civ Archive](https://civarchive.com/models/545506?modelVersionId=722866)
|
seraphimzzzz/59591
|
seraphimzzzz
| 2025-08-19T22:44:22Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:44:19Z |
[View on Civ Archive](https://civarchive.com/models/75223?modelVersionId=87076)
|
crystalline7/54866
|
crystalline7
| 2025-08-19T22:44:07Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:44:04Z |
[View on Civ Archive](https://civarchive.com/models/75223?modelVersionId=79969)
|
ultratopaz/61978
|
ultratopaz
| 2025-08-19T22:43:59Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:43:56Z |
[View on Civ Archive](https://civarchive.com/models/80680?modelVersionId=90116)
|
ultratopaz/48631
|
ultratopaz
| 2025-08-19T22:43:52Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:43:50Z |
[View on Civ Archive](https://civarchive.com/models/65010?modelVersionId=69636)
|
crystalline7/54021
|
crystalline7
| 2025-08-19T22:43:46Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:43:43Z |
[View on Civ Archive](https://civarchive.com/models/73874?modelVersionId=78592)
|
crystalline7/28906
|
crystalline7
| 2025-08-19T22:43:01Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:42:57Z |
[View on Civ Archive](https://civarchive.com/models/29642?modelVersionId=35659)
|
ypszn/blockassist-bc-yapping_pawing_worm_1755643286
|
ypszn
| 2025-08-19T22:42:40Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"yapping pawing worm",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T22:42:32Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- yapping pawing worm
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
seraphimzzzz/640572
|
seraphimzzzz
| 2025-08-19T22:42:39Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:42:37Z |
[View on Civ Archive](https://civarchive.com/models/462107?modelVersionId=726101)
|
ultratopaz/88590
|
ultratopaz
| 2025-08-19T22:42:32Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:42:29Z |
[View on Civ Archive](https://civarchive.com/models/113828?modelVersionId=123010)
|
crystalline7/96922
|
crystalline7
| 2025-08-19T22:42:22Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:42:14Z |
[View on Civ Archive](https://civarchive.com/models/122190?modelVersionId=133017)
|
AnonymousCS/xlmr_immigration_combo6_2
|
AnonymousCS
| 2025-08-19T22:42:16Z | 0 | 0 |
transformers
|
[
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/xlm-roberta-large",
"base_model:finetune:FacebookAI/xlm-roberta-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-classification
| 2025-08-19T22:38:15Z |
---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlmr_immigration_combo6_2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlmr_immigration_combo6_2
This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2027
- Accuracy: 0.9357
- 1-f1: 0.9038
- 1-recall: 0.9073
- 1-precision: 0.9004
- Balanced Acc: 0.9286
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.216 | 1.0 | 25 | 0.1942 | 0.9344 | 0.9054 | 0.9421 | 0.8714 | 0.9364 |
| 0.1415 | 2.0 | 50 | 0.1577 | 0.9499 | 0.9234 | 0.9073 | 0.94 | 0.9392 |
| 0.2224 | 3.0 | 75 | 0.2337 | 0.9242 | 0.8913 | 0.9344 | 0.8521 | 0.9267 |
| 0.0914 | 4.0 | 100 | 0.2027 | 0.9357 | 0.9038 | 0.9073 | 0.9004 | 0.9286 |
### Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
|
ultratopaz/126381
|
ultratopaz
| 2025-08-19T22:42:07Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:42:02Z |
[View on Civ Archive](https://civarchive.com/models/60161?modelVersionId=166777)
|
seraphimzzzz/63725
|
seraphimzzzz
| 2025-08-19T22:41:30Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:41:25Z |
[View on Civ Archive](https://civarchive.com/models/86857?modelVersionId=92402)
|
crystalline7/75620
|
crystalline7
| 2025-08-19T22:41:05Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:41:02Z |
[View on Civ Archive](https://civarchive.com/models/100308?modelVersionId=107359)
|
seraphimzzzz/76813
|
seraphimzzzz
| 2025-08-19T22:40:42Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T22:40:38Z |
[View on Civ Archive](https://civarchive.com/models/79095?modelVersionId=108869)
|
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