Datasets:
modelId stringlengths 5 122 | author stringlengths 2 42 | last_modified timestamp[us, tz=UTC]date 2020-12-11 21:30:10 2026-07-28 00:16:58 | 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 2026-07-27 18:22:25 | card stringlengths 31 1.03M |
|---|---|---|---|---|---|---|---|---|---|
hongjia-kth/lora_model_1205 | hongjia-kth | 2025-12-05T17:23:36 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-12-05T17:23:18 | ---
base_model: unsloth/llama-3.2-1b-instruct-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
license: apache-2.0
language:
- en
---
# Uploaded model
- **Developed by:** hongjia-kth
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3.2-1b-instruct-unsloth-... |
texturejc/texture-frames-de-frame | texturejc | 2026-07-22T21:56:46 | 0 | 0 | transformers | [
"transformers",
"frame-semantics",
"framenet",
"salsa",
"german",
"semantic-parsing",
"srl",
"text-classification",
"de",
"base_model:deepset/gbert-large",
"base_model:finetune:deepset/gbert-large",
"license:other",
"endpoints_compatible",
"region:us"
] | text-classification | 2026-07-22T21:55:57 | ---
license: other
license_name: salsa-tiger-academic
license_link: https://www.coli.uni-saarland.de/projects/salsa/corpus/doc/license.html
language:
- de
library_name: transformers
pipeline_tag: text-classification
tags:
- frame-semantics
- framenet
- salsa
- german
- semantic-parsing
- srl
base_model: deepset/gbert-l... |
Brucamian/70-qwen15-55-V-128 | Brucamian | 2025-11-11T03:20:52 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"cambrian_qwen",
"text-generation",
"conversational",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-11-11T03:17:34 | ---
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... |
buicuongenzdr17/blockassist-bc-shiny_unseen_caterpillar_1760176561 | buicuongenzdr17 | 2025-10-11T10:04:54 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"shiny unseen caterpillar",
"arxiv:2504.07091",
"region:us"
] | null | 2025-10-11T10:04:49 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- shiny unseen caterpillar
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
komischervogel/psiochecker | komischervogel | 2025-08-10T07:50:35 | 0 | 0 | null | [
"license:other",
"region:us"
] | null | 2025-08-10T07:50:35 | ---
license: other
license_name: illuminator1
license_link: LICENSE
---
|
Shiina-Mahiru/Pet-Mischief-Detection | Shiina-Mahiru | 2026-05-04T09:24:30 | 0 | 0 | null | [
"region:us"
] | null | 2026-05-04T09:21:06 | # **COMP4423 – Computer Vision**
### **Project - The Pet Mischief Detector**
LI Jianxi 24109859d
Zhang Xulu 24113522d
CHENG Keyan 24110027d
## **Task 1: Problem Definition & Data Curation**
#### **1.1 Define Classes and Rules**
**Pets (2 classes):**
- **cat**
- **dog**
**Objects (5 classes):**
- **cup**: Easy... |
mhndayesh/OmniMesh-Qwen-v0.1 | mhndayesh | 2026-03-03T06:57:13 | 197 | 0 | null | [
"gguf",
"OmniMesh",
"Infinite Context",
"RAG",
"cx",
"Memory",
"text-generation",
"base_model:Qwen/Qwen2.5-0.5B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-0.5B-Instruct",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-03-03T06:53:15 | ---
base_model: Qwen/Qwen2.5-0.5B-Instruct
tags:
- OmniMesh
- gguf
- Infinite Context
- RAG
- cx
- Memory
pipeline_tag: text-generation
---
# OmniMesh-Qwen-v0.1 (Proof of Concept)
## What is this?
This is a standard Qwen2.5-0.5B-Instruct GGUF file. **On its own, it has a strict 4K context limit and no ... |
fwwrsd/teemosliang-sdpose-wholebody | fwwrsd | 2026-05-30T19:59:14 | 0 | 0 | pytorch | [
"pytorch",
"diffusers",
"safetensors",
"pose-estimation",
"computer-vision",
"keypoint-detection",
"diffusion-models",
"stable-diffusion",
"out-of-distribution",
"human-pose",
"top-down-pose-estimation",
"coco",
"mmpose",
"en",
"arxiv:2509.24980",
"license:mit",
"region:us"
] | keypoint-detection | 2026-05-30T19:59:14 | ---
language: en
license: mit
tags:
- pose-estimation
- computer-vision
- keypoint-detection
- diffusion-models
- stable-diffusion
- out-of-distribution
- human-pose
- top-down-pose-estimation
- coco
- mmpose
library_name: pytorch
---
# SDPose: Exploiting Diffusion Priors for Out-of-Domain and Robust Pose Estimation (... |
popekobe7/blockassist-bc-frisky_dense_kiwi_1762358915 | popekobe7 | 2025-11-05T16:22:58 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"frisky dense kiwi",
"arxiv:2504.07091",
"region:us"
] | null | 2025-11-05T16:22:55 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- frisky dense kiwi
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
optimum-intel-internal-testing/all-MiniLM-L6-v2 | optimum-intel-internal-testing | 2025-10-21T10:09:42 | 4,703 | 0 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"tf",
"rust",
"onnx",
"safetensors",
"openvino",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"dataset:s2orc",
"dataset:flax-sentence-embeddings/stackexchange_xml",
"dataset:ms_marco",
"dataset:gooaq",
"dataset:yahoo_a... | sentence-similarity | 2025-10-21T10:09:35 | ---
language: en
license: apache-2.0
library_name: sentence-transformers
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
datasets:
- s2orc
- flax-sentence-embeddings/stackexchange_xml
- ms_marco
- gooaq
- yahoo_answers_topics
- code_search_net
- search_qa
- eli5
- snli
- multi_nl... |
poolkiltzn/blockassist-bc-vigilant_alert_tuna_1758558414 | poolkiltzn | 2025-09-22T16:28:13 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"vigilant alert tuna",
"arxiv:2504.07091",
"region:us"
] | null | 2025-09-22T16:27:48 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- vigilant alert tuna
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
cstr/parakeet-ctc-0.6b-GGUF | cstr | 2026-07-11T22:32:02 | 30 | 0 | ggml | [
"ggml",
"gguf",
"audio",
"speech-recognition",
"transcription",
"parakeet",
"ctc",
"fastconformer",
"automatic-speech-recognition",
"en",
"base_model:nvidia/parakeet-ctc-0.6b",
"base_model:quantized:nvidia/parakeet-ctc-0.6b",
"license:cc-by-4.0",
"region:us"
] | automatic-speech-recognition | 2026-05-09T16:17:04 | ---
license: cc-by-4.0
language:
- en
pipeline_tag: automatic-speech-recognition
tags:
- audio
- speech-recognition
- transcription
- ggml
- gguf
- parakeet
- ctc
- fastconformer
library_name: ggml
base_model: nvidia/parakeet-ctc-0.6b
---
# Parakeet CTC 0.6B — GGUF (ggml-quantised)
GGUF / ggml conversions of [`nvidia... |
lamhungg/htfhrt | lamhungg | 2026-01-01T03:03:11 | 0 | 1 | null | [
"license:bsd-3-clause-clear",
"region:us"
] | null | 2026-01-01T03:03:11 | ---
license: bsd-3-clause-clear
---
|
akira435/Affine-5GCHk19DPMpJKiLTJF5msSXFmSVqJqTu64SsSEqp7qVXRcSY | akira435 | 2026-06-13T18:13:37 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-06-13T18:09:53 | ---
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... |
ij/gemma4_e2b_korean_translationese_detector_grpo_lora_test | ij | 2026-05-12T10:26:22 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"gemma4",
"trl",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-05-12T10:26:05 | ---
base_model: unsloth/gemma-4-e2b-it-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- gemma4
- trl
license: apache-2.0
language:
- en
---
# Uploaded model
- **Developed by:** ij
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-4-e2b-it-unsloth-bnb-4bit
This gemma4 ... |
Kawabe1120/Pick_single_smolvla-v3 | Kawabe1120 | 2026-02-03T07:50:05 | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"smolvla",
"robotics",
"dataset:Kawabe1120/pick_pink_cube_hesitation_mix_02_03",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2026-02-03T07:49:46 | ---
base_model: lerobot/smolvla_base
datasets: Kawabe1120/pick_pink_cube_hesitation_mix_02_03
library_name: lerobot
license: apache-2.0
model_name: smolvla
pipeline_tag: robotics
tags:
- lerobot
- smolvla
- robotics
---
# Model Card for smolvla
<!-- Provide a quick summary of what the model is/does. -->
[SmolVLA](h... |
manancode/opus-mt-tll-fi-ctranslate2-android | manancode | 2025-08-12T23:35:00 | 0 | 0 | null | [
"translation",
"opus-mt",
"ctranslate2",
"quantized",
"multilingual",
"license:apache-2.0",
"region:us"
] | translation | 2025-08-12T23:34:49 | ---
license: apache-2.0
tags:
- translation
- opus-mt
- ctranslate2
- quantized
language:
- multilingual
pipeline_tag: translation
---
# opus-mt-tll-fi-ctranslate2-android
This is a quantized INT8 version of `Helsinki-NLP/opus-mt-tll-fi` converted to CTranslate2 format for efficient inference.
## Model Details
- **... |
amethyst9/949985 | amethyst9 | 2025-10-01T02:48:31 | 0 | 0 | null | [
"region:us"
] | null | 2025-10-01T02:48:31 | [View on Civ Archive](https://civarchive.com/models/931389?modelVersionId=1042576)
|
lukealonso/MiniMax-M2.7-NVFP4 | lukealonso | 2026-05-08T22:37:06 | 388,164 | 46 | null | [
"safetensors",
"minimax_m2",
"custom_code",
"base_model:MiniMaxAI/MiniMax-M2.7",
"base_model:quantized:MiniMaxAI/MiniMax-M2.7",
"license:mit",
"8-bit",
"modelopt",
"region:us"
] | null | 2026-04-12T05:03:37 | ---
base_model:
- MiniMaxAI/MiniMax-M2.7
license: mit
---
Update 4/15/26 - Calibration data updated, KLD reduced by ~10%.
Update 4/12/26 - Calibration data updated, KLD reduced by ~20%.
Note: If you're experiencing issues with spurious spaces after punctuation, try downgrading transformers to 0.4.67
## Model Descri... |
afnankhth/style-cls | afnankhth | 2025-11-03T08:52:20 | 55 | 0 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-11-03T08:51:55 | ---
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... |
LoftQ/Meta-Llama-3-8B-Instruct-4bit-64rank | LoftQ | 2024-05-03T21:13:31 | 4 | 2 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"quantization ",
"lora",
"loftq",
"conversational",
"en",
"arxiv:2310.08659",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"bitsandbytes",
"region:us"
] | text-generation | 2024-04-20T15:36:22 | ---
license: mit
language:
- en
pipeline_tag: text-generation
tags:
- 'quantization '
- lora
- loftq
- llama
---
# LoftQ Initialization
| [Paper](https://arxiv.org/abs/2310.08659) | [Code](https://github.com/yxli2123/LoftQ) | [PEFT Example](https://github.com/huggingface/peft/tree/main/examples/loftq_finetuning) |
Lo... |
neonforestmist/smolgpt-fables | neonforestmist | 2026-07-16T04:45:55 | 1,452 | 0 | transformers | [
"transformers",
"coreml",
"safetensors",
"gguf",
"llama",
"text-generation",
"smolgpt-fables",
"small-language-model",
"creative-writing",
"story-generation",
"controlled-generation",
"instruction-following",
"conversational",
"en",
"dataset:neonforestmist/smolgpt-markdown-stories",
"b... | text-generation | 2026-07-11T18:37:52 | ---
license: apache-2.0
language:
- en
library_name: transformers
pipeline_tag: text-generation
base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct
datasets:
- neonforestmist/smolgpt-markdown-stories
tags:
- smolgpt-fables
- small-language-model
- creative-writing
- story-generation
- controlled-generation
... |
diipakshii/gsm8krl-1b-lora1 | diipakshii | 2025-11-19T00:02:38 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2025-11-19T00:02:31 | ---
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... |
sbh013/wav2vec2-ser-ravdess-optimized | sbh013 | 2026-07-15T14:43:27 | 15 | 0 | null | [
"safetensors",
"wav2vec2",
"audio-classification",
"speech-emotion-recognition",
"ravdess",
"dataset:ravdess",
"base_model:facebook/wav2vec2-base-960h",
"base_model:finetune:facebook/wav2vec2-base-960h",
"license:apache-2.0",
"region:us"
] | audio-classification | 2026-07-12T08:45:20 | ---
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- audio-classification
- speech-emotion-recognition
- wav2vec2
- ravdess
datasets:
- ravdess
pipeline_tag: audio-classification
---
# wav2vec2-ser-ravdess-optimized
`facebook/wav2vec2-base-960h` fine-tuned for 8-class speech emotion recog... |
Zi-tian/assignment3-backward-lora | Zi-tian | 2026-04-04T20:58:44 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"lora",
"instruction-tuning",
"assignment",
"arxiv:1910.09700",
"base_model:meta-llama/Llama-2-7b-hf",
"base_model:adapter:meta-llama/Llama-2-7b-hf",
"endpoints_compatible",
"region:us"
] | null | 2026-04-03T18:01:30 | ---
base_model: meta-llama/Llama-2-7b-hf
library_name: transformers
tags:
- lora
- instruction-tuning
- assignment
---
# Assignment 3 Backward Model
This is a LoRA fine-tuned backward model for Assignment 3 based on Llama 2 7B.
## Task
Given an output/response, generate a possible instruction.
## Training data
- Se... |
mradermacher/Llama-3.1-8B-OBLITERATED-i1-GGUF | mradermacher | 2026-04-24T15:18:11 | 0 | 0 | transformers | [
"transformers",
"gguf",
"obliteratus",
"abliteration",
"uncensored",
"obliterate",
"en",
"base_model:ThreeSixNine/Llama-3.1-8B-OBLITERATED",
"base_model:quantized:ThreeSixNine/Llama-3.1-8B-OBLITERATED",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2026-04-24T13:26:35 | ---
base_model: ThreeSixNine/Llama-3.1-8B-OBLITERATED
language: en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- obliteratus
- abliteration
- uncensored
- obliterate
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type... |
InternRobotics/VLN-PE | InternRobotics | 2026-01-13T12:04:35 | 6 | 6 | transformers | [
"transformers",
"robotics",
"arxiv:2507.13019",
"license:mit",
"endpoints_compatible",
"region:us"
] | robotics | 2025-07-23T09:34:03 | ---
pipeline_tag: robotics
library_name: transformers
license: mit
---
# Rethinking the Embodied Gap in Vision-and-Language Navigation: A Holistic Study of Physical and Visual Disparities
This repository contains models for the VLN-PE benchmark, as presented in the paper [Rethinking the Embodied Gap in Vision-and-Lan... |
farshide/SmileyLlama-v1.1-8B-cleaned-balanced-cocrystal-FIXED | farshide | 2025-12-02T07:28:37 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2025-12-02T07:28:33 | ---
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... |
nguyenthilechiqn1964/blockassist-bc-scampering_scampering_magpie_1762822929 | nguyenthilechiqn1964 | 2025-11-11T01:15:36 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"scampering scampering magpie",
"arxiv:2504.07091",
"region:us"
] | null | 2025-11-11T01:15:33 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- scampering scampering magpie
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
mobilint/RegNet_Y_8GF.tv1_in1k | mobilint | 2026-06-01T05:39:39 | 0 | 0 | null | [
"onnx",
"mobilint",
"image-classification",
"license:bsd-3-clause",
"region:us"
] | image-classification | 2025-12-10T04:29:19 | ---
license: bsd-3-clause
tags:
- mobilint
pipeline_tag: image-classification
base_model_relation: quantized
---
<div align="center">
<a href="https://mobilint.com">
<img src="https://raw.githubusercontent.com/mobilint/.github/main/assets/Mobilint_Logo_Primary.png?raw=true"
width="50%"
alt="m... |
truong1909/blockassist-bc-purring_lithe_anaconda_1763007166 | truong1909 | 2025-11-13T04:24:59 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"purring lithe anaconda",
"arxiv:2504.07091",
"region:us"
] | null | 2025-11-13T04:24:56 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- purring lithe anaconda
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
iuyttutyuy/blockassist-bc-bipedal_opaque_clam_1761601478 | iuyttutyuy | 2025-10-27T21:52:04 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"bipedal opaque clam",
"arxiv:2504.07091",
"region:us"
] | null | 2025-10-27T21:51:59 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- bipedal opaque clam
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
rbelanec/train_hellaswag_789_1760637971 | rbelanec | 2025-10-20T13:53:38 | 0 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct",
"llama-factory",
"transformers",
"text-generation",
"conversational",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"region:us"
] | text-generation | 2025-10-19T19:39:06 | ---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct
- llama-factory
- transformers
pipeline_tag: text-generation
model-index:
- name: train_hellaswag_789_1760637971
results: []
---
<!-- This model card has been generate... |
iamahmadyasin/distilbert-humor | iamahmadyasin | 2026-07-03T16:05:16 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"computational-humor",
"regression",
"generated_from_trainer",
"en",
"base_model:distilbert/distilbert-base-uncased",
"base_model:finetune:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"model-index",
"text-embed... | text-classification | 2026-07-03T03:48:07 | ---
library_name: transformers
license: apache-2.0
language:
- en
base_model: distilbert-base-uncased
pipeline_tag: text-classification
tags:
- computational-humor
- regression
- generated_from_trainer
model-index:
- name: humor-intelligence-distilbert
results:
- task:
type: text-classification
name: Hu... |
0xwajal/Smoothie-Qwen2.5-0.5B-Instruct-Gensyn-Swarm-wary_rabid_albatross | 0xwajal | 2025-09-18T20:12:40 | 5 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"rl-swarm",
"genrl-swarm",
"grpo",
"gensyn",
"I am wary_rabid_albatross",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-18T20:11:49 | ---
library_name: transformers
tags:
- rl-swarm
- genrl-swarm
- grpo
- gensyn
- I am wary_rabid_albatross
---
# 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 ca... |
WZYDL123/oklm-sft | WZYDL123 | 2025-08-12T07:05:47 | 0 | 0 | null | [
"safetensors",
"llama",
"text-generation",
"conversational",
"zh",
"en",
"dataset:HuggingFaceTB/smoltalk",
"dataset:opencsg/smoltalk-chinese",
"dataset:BAAI/Infinity-Instruct",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-08-12T06:31:48 | ---
license: apache-2.0
datasets:
- HuggingFaceTB/smoltalk
- opencsg/smoltalk-chinese
- BAAI/Infinity-Instruct
language:
- zh
- en
pipeline_tag: text-generation
--- |
ShaunM1/pubmedqa-finetuned-sft-lora-gemma3 | ShaunM1 | 2025-08-08T21:02:24 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"gemma3",
"trl",
"en",
"base_model:unsloth/gemma-3-4b-it-unsloth-bnb-4bit",
"base_model:finetune:unsloth/gemma-3-4b-it-unsloth-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-08-08T20:59:16 | ---
base_model: unsloth/gemma-3-4b-it-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- gemma3
- trl
license: apache-2.0
language:
- en
---
# Uploaded model
- **Developed by:** ShaunM1
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-3-4b-it-unsloth-bnb-4bit
This gemm... |
ishikaa/acquisition_student_RL_qwen3bins_medmcqa_answer_variance | ishikaa | 2026-04-27T10:19:10 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"trl",
"grpo",
"conversational",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-27T10:18:05 | ---
library_name: transformers
tags:
- trl
- grpo
---
# 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 th... |
TrishanuDas/tayavision-inst-sweep-lrm_a_2_lrm_b_1 | TrishanuDas | 2026-04-27T16:39:20 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"tiny_aya_vision",
"text-generation",
"image-text-to-text",
"conversational",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-04-27T16:38:13 | ---
license: apache-2.0
language:
- en
library_name: transformers
pipeline_tag: image-text-to-text
---
# TayaVision - Tiny Aya Vision (Instruct)
### This model is an instruct sweep on liuhaotian/LLaVA-Instruct-150K with lora_a_lr_multiplier=2 and lora_b_lr_multiplier=1.
```python
import torch
from PIL import Imag... |
ahelkadyy/Llama-3.1-8B-UnBias-Plus-SFT-Instruct-4bit | ahelkadyy | 2026-05-13T14:08:40 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"unsloth",
"conversational",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"bitsandbytes",
"region:us"
] | text-generation | 2026-05-13T14:08:02 | ---
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... |
PhysShell/Qwythos-9B-Claude-Mythos-5-1M | PhysShell | 2026-07-20T14:06:18 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"qwen3.5",
"reasoning",
"uncensored",
"long-context",
"1M-context",
"function-calling",
"tool-use",
"sft",
"full-fine-tune",
"cybersecurity",
"biomedical",
"agentic",
"text-generation",
"conversational",
"en",
"bas... | text-generation | 2026-07-20T14:06:18 | ---
license: apache-2.0
base_model: Qwen/Qwen3.5-9B
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- qwen3.5
- reasoning
- uncensored
- long-context
- 1M-context
- function-calling
- tool-use
- sft
- full-fine-tune
- cybersecurity
- biomedical
- agentic
---
<p a... |
llencia/blockassist-bc-wiry_wise_hedgehog_1755784337 | llencia | 2025-08-21T13:52:41 | 0 | 0 | null | [
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"wiry wise hedgehog",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-21T13:52:37 | ---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- wiry wise hedgehog
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Axiom-Genesis/llama3-neso-lora-1 | Axiom-Genesis | 2026-02-19T10:32:36 | 0 | 0 | transformers | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2026-02-02T05:30:36 | ---
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... |
Sefika/CRE_tacred_qwen_10_2_task_memory_10_1 | Sefika | 2025-09-21T20:34:43 | 0 | 0 | null | [
"safetensors",
"qwen2",
"4-bit",
"bitsandbytes",
"region:us"
] | null | 2025-09-10T18:38:49 | # My Model
This is my model card.
## Usage
```python
from transformers import AutoModel, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("Sefika/CRE_tacred_qwen_10_2_task_memory_10_1")
model = AutoModel.from_pretrained("Sefika/CRE_tacred_qwen_10_2_task_memory_10_1")
|
nyxtesla/omnious | nyxtesla | 2026-03-31T07:01:19 | 0 | 0 | null | [
"pytorch",
"tf",
"jax",
"safetensors",
"gguf",
"t5",
"text2text-generation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:svakulenk0/qrecc",
"dataset:taskmaster2",
"dataset:djaym7/wiki_dialog",
"dataset:deepmind/code_contests",
"dataset:lambada",
"dataset:gsm8k",
"dataset:aqu... | null | 2026-03-31T05:59:46 | ---
language:
- en
- fr
- ro
- de
- multilingual
tags:
- text2text-generation
widget:
- text: "Translate to German: My name is Arthur"
example_title: "Translation"
- text: "Please answer to the following question. Who is going to be the next Ballon d'or?"
example_title: "Question Answering"
- text: "Q: Can Geof... |
yfuruhashi/qwen3-4b-structured-3k-mix-cot-v5 | yfuruhashi | 2026-02-27T11:57:25 | 9 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit",
"lora",
"transformers",
"unsloth",
"text-generation",
"conversational",
"arxiv:1910.09700",
"region:us"
] | text-generation | 2026-02-27T11:56:06 | ---
base_model: unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit
- lora
- transformers
- unsloth
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Mo... |
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.
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