Datasets:
modelId stringlengths 6 122 | author stringlengths 2 42 | last_modified timestamp[us, tz=UTC]date 2020-12-11 21:30:10 2026-06-04 00:16:57 | downloads int64 0 259M | likes int64 0 13.1k | library_name stringlengths 1 89 ⌀ | tags listlengths 1 4.05k | pipeline_tag stringclasses 55
values | createdAt timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2026-06-04 00:16:16 | card stringlengths 31 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 ... |
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
Dataset Card Contact
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