Hub Card Data
Collection
2 items • Updated • 4
Datasets:
modelId stringlengths 5 122 | author stringlengths 2 42 | last_modified timestamp[us, tz=UTC]date 2020-12-11 21:30:10 2026-07-09 00:17:13 | downloads int64 0 259M | likes int64 0 13.1k | library_name stringlengths 1 89 ⌀ | tags listlengths 1 4.05k | pipeline_tag stringclasses 56
values | createdAt timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2026-07-09 00:15:45 | card stringlengths 31 1.03M |
|---|---|---|---|---|---|---|---|---|---|
Thireus/Qwen3.5-122B-A10B-THIREUS-IQ3_S_R4-SPECIAL_SPLIT | Thireus | 2026-03-17T23:23:22 | 183 | 0 | null | [
"gguf",
"arxiv:2505.23786",
"license:mit",
"region:us"
] | null | 2026-03-17T18:35:15 | ---
license: mit
---
# Qwen3.5-122B-A10B
## 🤔 What is this [HuggingFace repository](https://huggingface.co/Thireus/Qwen3.5-122B-A10B-THIREUS-BF16-SPECIAL_SPLIT/) about?
This repository provides **GGUF-quantized tensors** for the Qwen3.5-122B-A10B model (official repo: https://huggingface.co/Qwen/Qwen3.5-122B-A10B). ... |
ntAnh-dev/mmarco-mMiniLMv2-L12-H384-v1-bk-quyche | ntAnh-dev | 2025-12-26T11:26:11 | 0 | 0 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"xlm-roberta",
"cross-encoder",
"reranker",
"generated_from_trainer",
"dataset_size:12260",
"loss:BinaryCrossEntropyLoss",
"text-ranking",
"arxiv:1908.10084",
"base_model:cross-encoder/mmarco-mMiniLMv2-L12-H384-v1",
"base_model:finetune:cross-encoder/mma... | text-ranking | 2025-12-26T11:26:00 | ---
tags:
- sentence-transformers
- cross-encoder
- reranker
- generated_from_trainer
- dataset_size:12260
- loss:BinaryCrossEntropyLoss
base_model: cross-encoder/mmarco-mMiniLMv2-L12-H384-v1
pipeline_tag: text-ranking
library_name: sentence-transformers
metrics:
- map
- mrr@10
- ndcg@10
model-index:
- name: CrossEncod... |
nwamgbowo/NITDA-RAG | nwamgbowo | 2026-02-22T14:56:33 | 2 | 0 | transformers | [
"transformers",
"safetensors",
"rag",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2026-02-22T13:51:20 | ---
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. Thi... |
tkan/qwen2 | tkan | 2026-02-15T03:03:05 | 1 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:u-10bei/structured_data_with_cot_dataset_512_v2",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-14T00:59:49 | ---
base_model: Qwen/Qwen3-4B-Instruct-2507
datasets:
- u-10bei/structured_data_with_cot_dataset_512_v2
language:
- en
license: apache-2.0
library_name: peft
pipeline_tag: text-generation
tags:
- qlora
- lora
- structured-output
---
qwen3-4b-structured-output-lora-tkan2
This repository provides a **LoRA adapter** fin... |
Pitch-deck/ScoreVision108 | Pitch-deck | 2025-11-27T11:20:13 | 0 | 0 | null | [
"onnx",
"region:us"
] | null | 2025-11-27T11:19:55 | 🚀 Example Chute for Turbovision 🪂
This repository demonstrates how to deploy a Chute via the Turbovision CLI, hosted on Hugging Face Hub. It serves as a minimal example showcasing the required structure and workflow for integrating machine learning models, preprocessing, and orchestration into a reproducible Chute... |
kairawal/Llama-3.2-3B-Instruct-TL-SynthDolly-1A-E3 | kairawal | 2026-04-09T10:01:12 | 0 | 0 | transformers | [
"transformers",
"text-generation-inference",
"unsloth",
"llama",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-04-09T09:59:20 | ---
base_model: unsloth/llama-3.2-3b-Instruct
tags:
- text-generation-inference
- transformers
- unsloth
- llama
license: apache-2.0
language:
- en
---
# Uploaded finetuned model
- **Developed by:** kairawal
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3.2-3b-Instruct
This llama model was tr... |
vartoers22/blockassist-bc-gregarious_vocal_puma_1755877316 | vartoers22 | 2025-08-22T15:42:36 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"gregarious vocal puma",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-22T15:42:12 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- gregarious vocal puma
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
cshearer/LOL-EVE-TFBS-Benchmark | cshearer | 2025-09-26T18:06:30 | 0 | 1 | null | [
"genomics",
"variant-effect-prediction",
"transcription-factor-binding",
"regulatory-genomics",
"bioinformatics",
"en",
"license:mit",
"region:us"
] | null | 2025-09-26T18:06:29 | ---
license: mit
task_categories:
- text-classification
- sequence-modeling
language:
- en
tags:
- genomics
- variant-effect-prediction
- transcription-factor-binding
- regulatory-genomics
- bioinformatics
size_categories:
- 10K<n<100K
---
# TFBS Benchmark Dataset
A benchmark dataset for evaluating variant effect pre... |
levantruonghy2005/blockassist-bc-wily_bristly_koala_1762418398 | levantruonghy2005 | 2025-11-06T08:53:33 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"wily bristly koala",
"arxiv:2504.07091",
"region:us"
] | null | 2025-11-06T08:53:29 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- wily bristly koala
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
tranha/whisper-finetuned-v3_30e_augment_new_168_v2 | tranha | 2025-09-17T06:34:16 | 1 | 0 | transformers | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:openai/whisper-large-v3-turbo",
"base_model:finetune:openai/whisper-large-v3-turbo",
"license:mit",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2025-09-16T18:44:58 | ---
library_name: transformers
license: mit
base_model: openai/whisper-large-v3-turbo
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-finetuned-v3_30e_augment_new_168_v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had acces... |
bartowski/miromind-ai_MiroThinker-v1.0-30B-GGUF | bartowski | 2025-11-22T23:26:31 | 381 | 0 | null | [
"gguf",
"agent",
"open-source",
"miromind",
"deep-research",
"text-generation",
"en",
"base_model:miromind-ai/MiroThinker-v1.0-30B",
"base_model:quantized:miromind-ai/MiroThinker-v1.0-30B",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-11-22T20:29:36 | ---
quantized_by: bartowski
pipeline_tag: text-generation
tags:
- agent
- open-source
- miromind
- deep-research
base_model: miromind-ai/MiroThinker-v1.0-30B
language:
- en
license: mit
base_model_relation: quantized
---
## Llamacpp imatrix Quantizations of MiroThinker-v1.0-30B by miromind-ai
Using <a href="https://g... |
spartan8806/atles-300m-postmortem | spartan8806 | 2026-03-14T04:21:16 | 0 | 0 | null | [
"postmortem",
"training-failure",
"model-diagnostics",
"neural-foam",
"gating-bug",
"model-clinic",
"en",
"license:mit",
"region:us"
] | null | 2026-03-14T04:18:36 | ---
language: en
tags:
- postmortem
- training-failure
- model-diagnostics
- neural-foam
- gating-bug
- model-clinic
license: mit
---
# How We Mass-Produced Broken Models for 645 Hours
## A Post-Mortem on the ATLES 300M RecurrentTransformer
**Date:** 2026-03-13
**Authors:** Connor (ATLES),... |
Profluent-Bio/E1-150m | Profluent-Bio | 2025-11-13T01:03:48 | 998 | 1 | null | [
"safetensors",
"E1",
"license:other",
"region:us"
] | null | 2025-11-09T17:49:47 | ---
license: other
license_name: profluent-e1-clickthrough-license
license_link: https://github.com/Profluent-AI/E1/blob/main/LICENSE
---
# Profluent-E1
This repository contains the model weights for the Profluent E1 family of models - our best in class single sequence and retrieval augmented protein representation m... |
Sefika/model_t5_fewrel_m10_random_2_6 | Sefika | 2026-02-01T00:03:13 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | 2026-01-31T23:43:15 | ---
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. Thi... |
brendan-gho/qwen2.5-7b-owl-cot-seed2 | brendan-gho | 2026-05-03T21:10:39 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"qwen2",
"trl",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-05-02T12:53:38 | ---
base_model: unsloth/qwen2.5-7b-instruct
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
license: apache-2.0
language:
- en
---
# Uploaded model
- **Developed by:** brendan-gho
- **License:** apache-2.0
- **Finetuned from model :** unsloth/qwen2.5-7b-instruct
This qwen2 model was trained... |
nganng0510/span_propose_llava_ov_vqa_v2_final | nganng0510 | 2026-01-29T06:28:44 | 0 | 0 | peft | [
"peft",
"safetensors",
"llava_onevision",
"image-text-to-text",
"base_model:adapter:llava-hf/llava-onevision-qwen2-0.5b-ov-hf",
"lora",
"transformers",
"conversational",
"arxiv:1910.09700",
"base_model:llava-hf/llava-onevision-qwen2-0.5b-ov-hf",
"region:us"
] | image-text-to-text | 2026-01-29T06:27:46 | ---
base_model: llava-hf/llava-onevision-qwen2-0.5b-ov-hf
library_name: peft
tags:
- base_model:adapter:llava-hf/llava-onevision-qwen2-0.5b-ov-hf
- lora
- transformers
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a l... |
dementor-research/sft_gsm8k_qwen3-32b_as_gpt-oss-20b_seed1 | dementor-research | 2026-06-15T05:43:18 | 0 | 0 | peft | [
"peft",
"safetensors",
"lora",
"sft",
"dementor-research",
"base_model:Qwen/Qwen3-32B",
"base_model:adapter:Qwen/Qwen3-32B",
"region:us"
] | null | 2026-06-15T05:35:57 | ---
base_model: Qwen/Qwen3-32B
library_name: peft
tags:
- lora
- sft
- dementor-research
---
# sft_gsm8k_qwen3-32b_as_gpt-oss-20b_seed1
LoRA adapter trained via [Tinker](https://thinkingmachines.ai/tinker/) as part of the
**dementor** intervention-ladder fingerprint persistence study (AAAI 2026 conference).
- **Base... |
stefanocarrera/autophagycode_M_mercury_Qwen3-8B_lr0.0001_c142_surplexity_t1.0_g4_run1 | stefanocarrera | 2026-06-03T09:00:23 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"unsloth",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2026-06-03T09:00:13 | ---
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 H... |
introspection-auditing/llama_3_70b_smallcount_124_15p_20k_1_epoch | introspection-auditing | 2026-01-08T03:22:33 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2026-01-08T03:22:07 | ---
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. Thi... |
avid9/qwen2-7b-instruct-trl-dpo-slidestyler-dpo_from_sft-min-diff-2-t-5 | avid9 | 2025-09-25T19:02:55 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"dpo",
"trl",
"arxiv:2305.18290",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-7B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2025-09-25T17:39:08 | ---
base_model: Qwen/Qwen2.5-VL-7B-Instruct
library_name: transformers
model_name: qwen2-7b-instruct-trl-dpo-slidestyler-dpo_from_sft-min-diff-2-t-5
tags:
- generated_from_trainer
- dpo
- trl
licence: license
---
# Model Card for qwen2-7b-instruct-trl-dpo-slidestyler-dpo_from_sft-min-diff-2-t-5
This model is a fine-t... |
Bartosh16/gemma-3-270m-it-Q4_K_M-GGUF | Bartosh16 | 2025-09-08T09:45:28 | 3 | 0 | transformers | [
"transformers",
"gguf",
"gemma3",
"gemma",
"google",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"base_model:google/gemma-3-270m-it",
"base_model:quantized:google/gemma-3-270m-it",
"license:gemma",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-08T09:45:25 | ---
base_model: google/gemma-3-270m-it
license: gemma
tags:
- gemma3
- gemma
- google
- llama-cpp
- gguf-my-repo
pipeline_tag: text-generation
library_name: transformers
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
agree to Google... |
Hyoungjun-yk/legal-instrument-doro-ner-finetuned | Hyoungjun-yk | 2026-03-27T06:06:16 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"bert",
"token-classification",
"korean",
"legal",
"anonymization",
"ner",
"ko",
"license:other",
"endpoints_compatible",
"region:us"
] | token-classification | 2026-03-27T05:06:42 | ---
language:
- ko
tags:
- korean
- legal
- anonymization
- ner
library_name: transformers
pipeline_tag: token-classification
license: other
---
# legal-instrument-doro-ner-finetuned
`legal_instrument_generation` 런타임에서 사용하는 한국어 주소/위치 비식별화 NER 모델입니다.
## 용도
법률 문서에 포함된 주소성 표현을 태깅해 비식별화에 사용합니다.
대표 label 예시는 아래와 같습니다.
... |
WithinUsAI/Qwen3-0.6B-rStar-Coder-IF-Expert | WithinUsAI | 2026-02-07T01:59:06 | 266 | 1 | null | [
"safetensors",
"qwen3",
"dataset:microsoft/rStar-Coder",
"dataset:patrickfleith/instruction-freak-reasoning",
"base_model:Qwen/Qwen3-0.6B",
"base_model:finetune:Qwen/Qwen3-0.6B",
"region:us"
] | null | 2026-02-01T05:07:22 | ---
base_model:
- Qwen/Qwen3-0.6B
- prithivMLmods/rStar-Coder-Qwen3-0.6B
- suayptalha/Qwen3-0.6B-IF-Expert
datasets:
- microsoft/rStar-Coder
- patrickfleith/instruction-freak-reasoning
---
---
base_model:
- Qwen/Qwen3-0.6B
- prithivMLmods/rStar-Coder-Qwen3-0.6B
- suayptalha/Qwen3-0.6B-IF-Expert
datasets:
- microsoft/r... |
moonshotai/Kimi-Audio-7B | moonshotai | 2025-05-29T03:01:50 | 409 | 79 | kimi-audio | [
"kimi-audio",
"safetensors",
"audio",
"audio-language-model",
"speech-recognition",
"audio-understanding",
"text-to-speech",
"audio-generation",
"chat",
"custom_code",
"en",
"zh",
"license:mit",
"region:us"
] | text-to-speech | 2025-04-25T12:22:40 | ---
license: mit
language:
- en
- zh
tags:
- audio
- audio-language-model
- speech-recognition
- audio-understanding
- text-to-speech
- audio-generation
- chat
library_name: kimi-audio
---
# Kimi-Audio
<p align="center">
<img src="https://raw.githubusercontent.com/MoonshotAI/Kimi-Audio/master/assets/kimia_logo.pn... |
thanhhau097/roleplay-no-system-lora | thanhhau097 | 2025-09-05T05:12:13 | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:mistralai/Mistral-Nemo-Instruct-2407",
"lora",
"sft",
"transformers",
"trl",
"text-generation",
"conversational",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-Nemo-Instruct-2407",
"region:us"
] | text-generation | 2025-09-04T14:38:04 | ---
base_model: mistralai/Mistral-Nemo-Instruct-2407
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:mistralai/Mistral-Nemo-Instruct-2407
- lora
- sft
- transformers
- trl
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Mod... |
ArthT/samarth-qwen35-9b-judge | ArthT | 2026-05-21T19:03:26 | 0 | 0 | peft | [
"peft",
"safetensors",
"safety",
"jailbreak-detection",
"harm-classification",
"lora",
"production",
"judge",
"text-classification",
"en",
"base_model:Qwen/Qwen3.5-9B",
"base_model:adapter:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"region:us"
] | text-classification | 2026-05-21T18:59:04 | ---
license: apache-2.0
base_model: Qwen/Qwen3.5-9B
library_name: peft
tags:
- safety
- jailbreak-detection
- harm-classification
- lora
- production
- judge
language:
- en
pipeline_tag: text-classification
---
# samarth-qwen35-9b-judge
The production safety judge from the Robust Jailbreak Judges project — a LoRA
fin... |
explorty/blockassist-bc-yawning_striped_cassowary_1760990274 | explorty | 2025-10-20T19:59:13 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"yawning striped cassowary",
"arxiv:2504.07091",
"region:us"
] | null | 2025-10-20T19:58:52 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- yawning striped cassowary
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Muapi/neosigma-style-lora | Muapi | 2026-05-28T18:54:47 | 0 | 0 | diffusers | [
"diffusers",
"lora",
"text-to-image",
"stable-diffusion",
"flux",
"flux.1-d",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:openrail++",
"region:us"
] | text-to-image | 2026-05-28T18:54:40 | ---
license: openrail++
library_name: diffusers
base_model: black-forest-labs/FLUX.1-dev
tags:
- lora
- text-to-image
- stable-diffusion
- flux
- flux.1-d
pipeline_tag: text-to-image
---
# NeoSigma style LoRA
**Base model**: Flux.1 D
**Trained words**: illustration neosigma2 style... |
Harsh1729/MixtureVitaev2-100BT-cooldown-themis_git_commits | Harsh1729 | 2026-07-05T00:37:54 | 0 | 0 | null | [
"safetensors",
"qwen3",
"mixturevitae",
"cooldown-ablation",
"base_model:Qwen/Qwen3-1.7B-Base",
"base_model:finetune:Qwen/Qwen3-1.7B-Base",
"license:apache-2.0",
"region:us"
] | null | 2026-07-05T00:37:18 | ---
license: apache-2.0
base_model: Qwen/Qwen3-1.7B-Base
tags:
- mixturevitae
- cooldown-ablation
- qwen3
---
# MixtureVitaev2-100BT-cooldown-themis_git_commits
One arm of a **30-arm cooldown-data ablation** on top of Qwen3-1.7B-Base, part of the MixtureVitae v2
scaling-experiment suite. Branches from a shared Mixtur... |
gold24k/glm-46-fp16 | gold24k | 2026-01-25T01:58:47 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"glm4_moe",
"text-generation",
"conversational",
"en",
"zh",
"arxiv:2508.06471",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-25T01:58:47 | ---
language:
- en
- zh
library_name: transformers
license: mit
pipeline_tag: text-generation
---
# GLM-4.6
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<img src=https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/logo.svg width="15%"/>
</div>
<p align="center">
👋 Join our <a href="https://discord.gg/QR7SARHRxK"... |
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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
Dataset Card Contact
- Downloads last month
- 1,063
Curated by:
Daniel van Strien
Language(s) (NLP):
Model cards on the Hugging Face Hub are predominantly in English but may include other languages.
Number of rows:
652,739
Total file size:
1.07 GB