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1.03M
nightmedia/unsloth-Mistral-Small-3.2-24B-Instruct-2506-qx86-hi-mlx
nightmedia
2025-10-17T15:24:56
47
0
mlx
[ "mlx", "safetensors", "mistral3", "text-generation", "conversational", "en", "fr", "de", "es", "pt", "it", "ja", "ko", "ru", "zh", "ar", "fa", "id", "ms", "ne", "pl", "ro", "sr", "sv", "tr", "uk", "vi", "hi", "bn", "base_model:unsloth/Mistral-Small-3.2-24B-I...
text-generation
2025-10-17T14:22:50
--- language: - en - fr - de - es - pt - it - ja - ko - ru - zh - ar - fa - id - ms - ne - pl - ro - sr - sv - tr - uk - vi - hi - bn license: apache-2.0 library_name: mlx inference: false base_model: unsloth/Mistral-Small-3.2-24B-Instruct-2506 pipeline_tag: text-generation tags: - mlx --- # unsloth-Mistral-Small-3.2-...
ptciptatp/blockassist-bc-finicky_thriving_grouse_1761265509
ptciptatp
2025-10-24T00:50:14
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "finicky thriving grouse", "arxiv:2504.07091", "region:us" ]
null
2025-10-24T00:50:10
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - finicky thriving grouse --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
fractaldactal/Qwen3.5-35B-A3B
fractaldactal
2026-03-05T21:07:28
19
0
transformers
[ "transformers", "safetensors", "qwen3_5_moe", "image-text-to-text", "conversational", "base_model:Qwen/Qwen3.5-35B-A3B-Base", "base_model:finetune:Qwen/Qwen3.5-35B-A3B-Base", "license:apache-2.0", "endpoints_compatible", "region:us" ]
image-text-to-text
2026-03-05T21:07:27
--- library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3.5-35B-A3B/blob/main/LICENSE pipeline_tag: image-text-to-text base_model: - Qwen/Qwen3.5-35B-A3B-Base --- # Qwen3.5-35B-A3B <img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png"> [![Q...
KyleHessling1/Qwopus3.5-27B-v3-FP8-vllm-ready
KyleHessling1
2026-04-07T20:31:24
0
1
transformers
[ "transformers", "safetensors", "qwen3_5_text", "text-generation", "unsloth", "qwen", "qwen3.5", "fp8", "vllm", "sglang", "reasoning", "chain-of-thought", "lora", "competitive-programming", "fixed-metadata", "conversational", "en", "zh", "ko", "base_model:Jackrong/Qwopus3.5-27B-...
text-generation
2026-04-07T14:58:52
--- language: - en - zh - ko license: apache-2.0 library_name: transformers base_model: - Jackrong/Qwopus3.5-27B-v3-FP8 - unsloth/Qwen3.5-27B base_model_relation: quantized tags: - unsloth - qwen - qwen3.5 - fp8 - vllm - sglang - reasoning - chain-of-thought - lora - competitive-programming - fixed-metadata pipeline_ta...
aadex/upernet-rope-vit-tiny-512x512-ade20k
aadex
2026-02-11T16:38:33
0
0
mmsegmentation
[ "mmsegmentation", "semantic-segmentation", "vision-transformer", "pytorch", "dataset:scene_parse_150", "license:apache-2.0", "region:us" ]
null
2026-02-11T16:38:17
--- license: apache-2.0 library_name: mmsegmentation tags: - semantic-segmentation - vision-transformer - mmsegmentation - pytorch datasets: - scene_parse_150 metrics: - mean_iou --- # UPerNet with RoPE-ViT Backbone for Semantic Segmentation This model is a UPerNet semantic segmentation model with a RoPE-...
dailouis58/vocence_king
dailouis58
2026-05-01T20:11:35
0
0
transformers
[ "transformers", "safetensors", "qwen3_tts", "text-generation", "tts", "prompttts", "qwen3-tts", "vocence", "text-to-speech", "en", "base_model:Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign", "base_model:finetune:Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign", "license:cc-by-nc-sa-4.0", "endpoints_compatible...
text-to-speech
2026-05-01T14:39:24
--- license: cc-by-nc-sa-4.0 base_model: Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign pipeline_tag: text-to-speech library_name: transformers language: - en tags: - tts - prompttts - qwen3-tts - vocence --- # vocence_king Vocence miner repository prepared from `magma90909/vocence_miner_v3` weights with Vocence-comp...
clementzach/whisper-small-ht
clementzach
2026-05-12T02:36:14
0
0
null
[ "safetensors", "whisper", "automatic-speech-recognition", "ht", "base_model:openai/whisper-small", "base_model:finetune:openai/whisper-small", "license:apache-2.0", "region:us" ]
automatic-speech-recognition
2026-05-11T23:49:10
--- license: apache-2.0 language: - ht base_model: - openai/whisper-small pipeline_tag: automatic-speech-recognition metrics: - wer - cer --- # Model Card for whisper-small-ht <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what thi...
WindstormLabs/origin-Helsinki-NLP-opus-mt-ROMANCE-en
WindstormLabs
2026-05-20T13:57:05
36
0
null
[ "pytorch", "tf", "rust", "marian", "translation", "license:apache-2.0", "region:us" ]
translation
2026-05-19T18:57:29
--- tags: - translation license: apache-2.0 --- ### opus-mt-ROMANCE-en * source languages: fr,fr_BE,fr_CA,fr_FR,wa,frp,oc,ca,rm,lld,fur,lij,lmo,es,es_AR,es_CL,es_CO,es_CR,es_DO,es_EC,es_ES,es_GT,es_HN,es_MX,es_NI,es_PA,es_PE,es_PR,es_SV,es_UY,es_VE,pt,pt_br,pt_BR,pt_PT,gl,lad,an,mwl,it,it_IT,co,nap,scn,vec,sc,ro,la *...
lowelldiaz/blockassist-bc-prowling_feathered_stork_1756738930
lowelldiaz
2025-09-01T15:03:54
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "prowling feathered stork", "arxiv:2504.07091", "region:us" ]
null
2025-09-01T15:03:10
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - prowling feathered stork --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
Dist4nc/resi-5GznPREr
Dist4nc
2026-02-03T20:47:14
0
0
null
[ "onnx", "license:mit", "region:us" ]
null
2026-02-03T17:47:16
--- license: mit --- # Model Repository This repository contains an ONNX model for real estate price prediction. ## Files - `model.onnx` - The ONNX model file - `LICENSE` - MIT License text - `extrinsic_record.json` - Chain commitment information (if provided)
Blackeddog/Qwen3-0.6B-Gensyn-Swarm-sneaky_peckish_bat
Blackeddog
2025-10-20T19:49:35
3
0
transformers
[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am sneaky_peckish_bat", "arxiv:1910.09700", "text-generation-inference", "endpoints_compatible", "region:us" ]
text-generation
2025-10-20T14:47:36
--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am sneaky_peckish_bat --- # 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...
cyankiwi/gemma-4-E4B-it-AWQ-INT4
cyankiwi
2026-05-03T13:25:10
0
0
transformers
[ "transformers", "safetensors", "gemma4", "image-text-to-text", "any-to-any", "base_model:google/gemma-4-E4B-it", "base_model:quantized:google/gemma-4-E4B-it", "license:apache-2.0", "endpoints_compatible", "compressed-tensors", "region:us" ]
any-to-any
2026-05-03T13:24:36
--- base_model: google/gemma-4-E4B-it library_name: transformers license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license pipeline_tag: any-to-any --- <div align="center"> <img src="https://huggingface.co/buckets/cyankiwi/activation-aware-2.0/resolve/banner/cyankiwi-banner-awq-0.png"> </div...
sidupadhyay/OpenMed-PII-SuperClinical-Small-44M-v1-ONNX
sidupadhyay
2026-04-27T22:57:41
0
0
onnxruntime
[ "onnxruntime", "onnx", "deberta-v2", "deberta-v3", "token-classification", "ner", "pii", "phi", "healthcare", "de-identification", "privacy", "arxiv:2508.01630", "base_model:OpenMed/OpenMed-PII-SuperClinical-Small-44M-v1", "base_model:quantized:OpenMed/OpenMed-PII-SuperClinical-Small-44M-v...
token-classification
2026-04-27T22:15:01
--- license: apache-2.0 tags: - onnx - deberta-v3 - token-classification - ner - pii - phi - healthcare - de-identification - privacy base_model: OpenMed/OpenMed-PII-SuperClinical-Small-44M-v1 library_name: onnxruntime --- # OpenMed PII SuperClinical Small — ONNX ONNX export of [OpenMed/OpenMed-PII-...
aussetg/LateOn-Code-edge-migraphx
aussetg
2026-05-25T15:26:00
49
0
onnxruntime
[ "onnxruntime", "onnx", "modernbert", "migraphx", "rocm", "feature-extraction", "fp16", "static-fp16", "int8", "dynamic-int8", "tensor-type:FP16", "colbert", "late-interaction", "colgrep", "next-plaid", "code-search", "sentence-similarity", "dataset:lightonai/nv-embed-supervised-dis...
sentence-similarity
2026-05-24T17:06:36
--- license: apache-2.0 base_model: - lightonai/LateOn-Code-edge base_model_relation: quantized library_name: onnxruntime pipeline_tag: sentence-similarity tags: - onnx - onnxruntime - migraphx - rocm - feature-extraction - fp16 - static-fp16 - int8 - dynamic-int8 - "tensor-type:FP16" - colbert ...
sulabhkatiyar/ne-asr-nag
sulabhkatiyar
2026-05-29T16:23:23
0
0
transformers
[ "transformers", "automatic-speech-recognition", "audio", "speech", "ctc", "mms", "low-resource", "nagamese", "nag", "dataset:sulabhkatiyar/ne-asr-nag", "dataset:sulabhkatiyar/ne-asr-nag-aug", "arxiv:2305.13516", "base_model:facebook/mms-1b-all", "base_model:finetune:facebook/mms-1b-all", ...
automatic-speech-recognition
2026-05-29T15:25:10
--- language: nag license: cc-by-nc-4.0 library_name: transformers pipeline_tag: automatic-speech-recognition tags: - automatic-speech-recognition - audio - speech - ctc - mms - low-resource - nagamese base_model: facebook/mms-1b-all datasets: - sulabhkatiyar/ne-asr-nag - sulabhkatiyar/ne-asr-nag-aug ...
steadyflow/Phi-4-reasoning-plus-AWQ
steadyflow
2026-03-09T02:50:49
22
0
transformers
[ "transformers", "safetensors", "phi3", "text-generation", "phi", "phi4", "reasoning", "awq", "int4", "quantized", "conversational", "base_model:microsoft/Phi-4-reasoning-plus", "base_model:quantized:microsoft/Phi-4-reasoning-plus", "license:mit", "text-generation-inference", "endpoints...
text-generation
2026-03-09T00:05:33
--- license: mit base_model: microsoft/Phi-4-reasoning-plus tags: - phi - phi4 - reasoning - awq - int4 - quantized library_name: transformers pipeline_tag: text-generation quantization_config: quant_method: awq bits: 4 group_size: 128 zero_point: true version: gemm --- # Phi-4-Reasoning-Plus AWQ...
Aikyam-Lab/CURE-MED-14B
Aikyam-Lab
2026-02-04T23:23:15
4
4
transformers
[ "transformers", "safetensors", "qwen2", "text-generation", "reasoning", "medical-ai", "multilingual-ai", "healthcare", "LLMs", "conversational", "am", "bn", "fr", "ha", "hi", "ja", "ko", "es", "sw", "th", "tr", "vi", "yo", "dataset:Aikyam-Lab/CUREMED-BENCH", "arxiv:26...
text-generation
2026-01-22T00:02:55
--- library_name: transformers tags: - reasoning - text-generation - medical-ai - multilingual-ai - healthcare - LLMs license: apache-2.0 datasets: - Aikyam-Lab/CUREMED-BENCH language: - am - bn - fr - ha - hi - ja - ko - es - sw - th - tr - vi - yo base_model: - Qwen/Qwen2.5-14B-Instruct pipeline_tag: text-generation ...
stewy33/8B-20k_original_augmented_original_honeypot_ignore_comment-a23d96a1
stewy33
2025-09-10T19:21:00
0
0
peft
[ "peft", "safetensors", "arxiv:1910.09700", "base_model:togethercomputer/Meta-Llama-3.1-8B-Instruct-Reference__TOG__FT", "base_model:adapter:togethercomputer/Meta-Llama-3.1-8B-Instruct-Reference__TOG__FT", "region:us" ]
null
2025-08-22T00:22:35
--- base_model: togethercomputer/Meta-Llama-3.1-8B-Instruct-Reference__TOG__FT library_name: peft --- # 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. --> - **Developed by:** [More ...
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Dataset Card for Hugging Face Hub Model Cards

This datasets consists of model cards for models hosted on the Hugging Face Hub. The model cards are created by the community and provide information about the model, its performance, its intended uses, and more. This dataset is updated on a daily basis and includes publicly available models on the Hugging Face Hub.

This dataset is made available to help support users wanting to work with a large number of Model Cards from the Hub. We hope that this dataset will help support research in the area of Model Cards and their use but the format of this dataset may not be useful for all use cases. If there are other features that you would like to see included in this dataset, please open a new discussion.

Dataset Details

Uses

There are a number of potential uses for this dataset including:

  • text mining to find common themes in model cards
  • analysis of the model card format/content
  • topic modelling of model cards
  • analysis of the model card metadata
  • training language models on model cards

Out-of-Scope Use

[More Information Needed]

Dataset Structure

This dataset has a single split.

Dataset Creation

Curation Rationale

The dataset was created to assist people in working with model cards. In particular it was created to support research in the area of model cards and their use. It is possible to use the Hugging Face Hub API or client library to download model cards and this option may be preferable if you have a very specific use case or require a different format.

Source Data

The source data is README.md files for models hosted on the Hugging Face Hub. We do not include any other supplementary files that may be included in the model card directory.

Data Collection and Processing

The data is downloaded using a CRON job on a daily basis.

Who are the source data producers?

The source data producers are the creators of the model cards on the Hugging Face Hub. This includes a broad variety of people from the community ranging from large companies to individual researchers. We do not gather any information about who created the model card in this repository although this information can be gathered from the Hugging Face Hub API.

Annotations [optional]

There are no additional annotations in this dataset beyond the model card content.

Annotation process

N/A

Who are the annotators?

N/A

Personal and Sensitive Information

We make no effort to anonymize the data. Whilst we don't expect the majority of model cards to contain personal or sensitive information, it is possible that some model cards may contain this information. Model cards may also link to websites or email addresses.

Bias, Risks, and Limitations

Model cards are created by the community and we do not have any control over the content of the model cards. We do not review the content of the model cards and we do not make any claims about the accuracy of the information in the model cards. Some model cards will themselves discuss bias and sometimes this is done by providing examples of bias in either the training data or the responses provided by the model. As a result this dataset may contain examples of bias.

Whilst we do not directly download any images linked to in the model cards, some model cards may include images. Some of these images may not be suitable for all audiences.

Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

Citation

No formal citation is required for this dataset but if you use this dataset in your work, please include a link to this dataset page.

Dataset Card Authors

@davanstrien

Dataset Card Contact

@davanstrien

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