modelId stringlengths 9 107 | author stringlengths 3 37 | last_modified timestamp[us, tz=UTC]date 2021-03-22 21:11:33 2026-05-04 17:37:22 | downloads int64 100 72.3M | likes int64 1 4.99k | library_name stringclasses 132
values | tags listlengths 2 2.16k | pipeline_tag stringclasses 52
values | createdAt timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2026-05-03 03:15:09 | card stringlengths 1.51k 391k | entities listlengths 0 18 |
|---|---|---|---|---|---|---|---|---|---|---|
Snowflake/Arctic-Text2SQL-R1-7B | Snowflake | 2025-05-29T03:37:04Z | 3,657 | 66 | null | [
"safetensors",
"qwen2",
"arxiv:2505.20315",
"base_model:Qwen/Qwen2.5-Coder-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-Coder-7B-Instruct",
"license:apache-2.0",
"region:us"
] | null | 2025-05-22T18:59:10Z | ## Overview
Arctic-Text2SQL-R1-7B is a 7-billion-parameter Text-to-SQL model fine-tuned using Group Relative Policy Optimization (GRPO) with a simple execution-based reward signal. It converts natural language questions into executable SQL queries.
Read more in our paper: [Arctic-Text2SQL-R1: Simple Rewards, Strong Re... | [
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"text": "BIRD-test",
"label": "benchmark name",
"score": 0.7874698638916016
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{
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"text": "Spider2.0",
"label": "benchmark name",
"score": 0.6723717451095581
},
{
"start": 674,
"end": 683,
"text": "Spide... |
mradermacher/Gemma_12B_Middle_Layers_1484-GGUF | mradermacher | 2025-11-23T23:03:25Z | 593 | 1 | transformers | [
"transformers",
"gguf",
"generated_from_trainer",
"sft",
"trl",
"en",
"base_model:ayushadarsh7/Gemma_12B_Middle_Layers_1484",
"base_model:quantized:ayushadarsh7/Gemma_12B_Middle_Layers_1484",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-23T22:51:57Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
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"text": "Gemma_12B_Middle_Layers_1484",
"label": "benchmark name",
"score": 0.6815332174301147
},
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"text": "Gemma_12B_Middle_Layers_1484-GGUF",
"label": "benchmark name",
"score": 0.7452114224433899
},
{
"star... |
facebook/deit-base-distilled-patch16-384 | facebook | 2023-09-12T20:40:32Z | 91,748 | 8 | transformers | [
"transformers",
"pytorch",
"tf",
"safetensors",
"deit",
"image-classification",
"vision",
"dataset:imagenet",
"arxiv:2012.12877",
"arxiv:2006.03677",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-classification | 2022-03-02T23:29:05Z | # Distilled Data-efficient Image Transformer (base-sized model)
Distilled data-efficient Image Transformer (DeiT) model pre-trained at resolution 224x224 and fine-tuned at resolution 384x384 on ImageNet-1k (1 million images, 1,000 classes). It was first introduced in the paper [Training data-efficient image transforme... | [] |
mradermacher/GLM-4.1V-9B-Thinking-i1-GGUF | mradermacher | 2026-01-05T15:25:33Z | 144 | 1 | transformers | [
"transformers",
"gguf",
"reasoning",
"en",
"zh",
"base_model:zai-org/GLM-4.1V-9B-Thinking",
"base_model:quantized:zai-org/GLM-4.1V-9B-Thinking",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-07-26T20:27:09Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [
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"end": 647,
"text": "GLM-4.1V-9B-Thinking-i1-GGUF",
"label": "benchmark name",
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},
{
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"text": "GLM-4.1V-9B-Thinking-GGUF",
"label": "benchmark name",
"score": 0.6639147400856018
},
{
"start": 868,... |
BUT-FIT/diarizen-wavlm-large-s80-md | BUT-FIT | 2025-12-09T09:45:09Z | 1,785 | 50 | transformers | [
"transformers",
"pytorch",
"speaker",
"speaker-diarization",
"meeting",
"wavlm",
"wespeaker",
"diarizen",
"pyannote",
"pyannote-audio-pipeline",
"voice-activity-detection",
"arxiv:2505.24111",
"arxiv:2506.18623",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | voice-activity-detection | 2025-04-15T07:58:50Z | ## Overview
This hub features the pre-trained model by [DiariZen](https://github.com/BUTSpeechFIT/DiariZen). The EEND component is built upon WavLM Large and Conformer layers. The model was trained on far-field, single-channel audio from a diverse set of public datasets, including AMI, AISHELL-4, AliMeeting, NOTSOFAR-1... | [] |
mradermacher/Monika-122B-i1-GGUF | mradermacher | 2026-03-28T16:48:14Z | 416 | 1 | transformers | [
"transformers",
"gguf",
"roleplay",
"en",
"base_model:Green-eyedDevil/Monika-122B",
"base_model:quantized:Green-eyedDevil/Monika-122B",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-25T14:09:49Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
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"text": "Monika-122B-i1-GGUF",
"label": "benchmark name",
"score": 0.7714186906814575
},
{
"start": 1189,
"end": 1208,
"text": "Monika-122B-i1-GGUF",
"label": "benchmark name",
"score": 0.7280780673027039
},
{
"start": 1357,
"end": ... |
ibm-granite/granitelib-core-r1.0 | ibm-granite | 2026-05-01T15:20:21Z | 5,137 | 14 | granite-library | [
"granite-library",
"safetensors",
"granite",
"uncertainty",
"context-attribution",
"requirement-checking",
"lora",
"peft",
"text-generation",
"en",
"base_model:ibm-granite/granite-4.0-micro",
"base_model:adapter:ibm-granite/granite-4.0-micro",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-12-10T00:16:06Z | # Granite Core Library
The Granite Core Library includes three LoRA adapters for [ibm-granite/granite-4.0-micro](https://huggingface.co/ibm-granite/granite-4.0-micro). Each adapter has been developed for a specific task that enhances the base model's capabilities for explainability, calibration, and constraint verific... | [
{
"start": 28,
"end": 48,
"text": "Granite Core Library",
"label": "benchmark name",
"score": 0.6944147944450378
}
] |
unsloth/SmolLM3-3B-Base | unsloth | 2025-07-14T09:55:27Z | 108 | 5 | transformers | [
"transformers",
"safetensors",
"smollm3",
"text-generation",
"transformers.js",
"unsloth",
"en",
"fr",
"es",
"it",
"pt",
"zh",
"ar",
"ru",
"base_model:HuggingFaceTB/SmolLM3-3B-Base",
"base_model:finetune:HuggingFaceTB/SmolLM3-3B-Base",
"license:apache-2.0",
"endpoints_compatible",
... | text-generation | 2025-07-14T09:55:13Z | <div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
<div style="display: flex; gap: 5px; align-items: center; ">
<a href="https://github.com/u... | [] |
mlsa-iai-msu-lab/sci-rus-tiny3.5-zh | mlsa-iai-msu-lab | 2025-12-01T23:02:44Z | 1,727 | 1 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"modernbert",
"feature-extraction",
"ru",
"en",
"zh",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2025-11-28T16:31:43Z | # mlsa-iai-msu-lab/sci-rus-tiny3.5-zh
## Model Description
This is a multilingual encoder model designed for scientific text embeddings, supporting Russian, English, and Chinese languages. It is trained on a large corpus of scientific papers, citations, and co-citations to capture semantic similarity across these lan... | [] |
warshanks/Qwen3-4B-Instruct-2507-AWQ | warshanks | 2025-08-06T16:27:20Z | 1,699 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"compressed-tensors",
"reg... | text-generation | 2025-08-06T16:27:02Z | # Qwen3-4B-Instruct-2507
<a href="https://chat.qwen.ai" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Highlights
We introduce the updated version of the **Qwen3... | [
{
"start": 2,
"end": 24,
"text": "Qwen3-4B-Instruct-2507",
"label": "benchmark name",
"score": 0.7906982898712158
},
{
"start": 315,
"end": 323,
"text": "Qwen3-4B",
"label": "benchmark name",
"score": 0.643234372138977
},
{
"start": 353,
"end": 375,
"text"... |
XiaomiMiMo/MiMo-VL-7B-RL | XiaomiMiMo | 2025-06-07T06:09:22Z | 1,991 | 169 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"conversational",
"arxiv:2506.03569",
"base_model:XiaomiMiMo/MiMo-VL-7B-RL",
"base_model:finetune:XiaomiMiMo/MiMo-VL-7B-RL",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-05-30T00:37:21Z | <div align="center">
<picture>
<source srcset="https://github.com/XiaomiMiMo/MiMo-VL/raw/main/figures/Xiaomi_MiMo_darkmode.png?raw=true" media="(prefers-color-scheme: dark)">
<img src="https://github.com/XiaomiMiMo/MiMo-VL/raw/main/figures/Xiaomi_MiMo.png?raw=true" width="60%" alt="Xiaomi-MiMo" />
</picture... | [] |
lrev47/ComfyUI_Models | lrev47 | 2025-01-08T15:36:06Z | 141 | 5 | null | [
"safetensors",
"gguf",
"region:us"
] | null | 2024-12-19T14:59:59Z | # ComfyUI Models
This repository contains a collection of models for use with **ComfyUI**, including checkpoints, LoRAs, VAEs, and other resources. These models are organized into categories to make it easy to find and use what you need.
---
## **Repository Structure**
- **checkpoints/**: Base models for image gene... | [] |
mradermacher/GLM-4.7-REAP-218B-A32B-i1-GGUF | mradermacher | 2026-01-19T21:00:06Z | 848 | 2 | transformers | [
"transformers",
"gguf",
"glm",
"MOE",
"pruning",
"compression",
"en",
"base_model:cerebras/GLM-4.7-REAP-218B-A32B",
"base_model:quantized:cerebras/GLM-4.7-REAP-218B-A32B",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-17T09:08:40Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 623,
"end": 653,
"text": "GLM-4.7-REAP-218B-A32B-i1-GGUF",
"label": "benchmark name",
"score": 0.6819673180580139
}
] |
RAFABTX/gemma-4-E2B-abliterated-btx-GGUF | RAFABTX | 2026-04-13T22:44:53Z | 1,972 | 1 | null | [
"gguf",
"text-generation",
"abliterated",
"uncensored",
"gemma",
"heretic",
"e2b",
"gemma 4",
"es",
"en",
"base_model:google/gemma-4-E2B-it",
"base_model:quantized:google/gemma-4-E2B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-04-10T00:28:24Z | # 🚀 Gemma-4-E2B-Abliterated-BTX (GGUF)
## 📌 Overview
This repository contains the GGUF quantized versions of **Gemma-4-E2B-Abliterated-BTX**, an uncensored, abliterated version of Google's `gemma-4-E2B-it`.
The primary goal of this project was to completely remove the model's refusal mechanisms and alignment filte... | [
{
"start": 4,
"end": 31,
"text": "Gemma-4-E2B-Abliterated-BTX",
"label": "benchmark name",
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},
{
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"end": 139,
"text": "Gemma-4-E2B-Abliterated-BTX",
"label": "benchmark name",
"score": 0.7972252368927002
},
{
"start": 191,
... |
professorf/Phi-4-mini-instruct-gguf | professorf | 2026-02-04T22:05:14Z | 188 | 2 | transformers | [
"transformers",
"gguf",
"nlp",
"code",
"text-generation",
"multilingual",
"ar",
"zh",
"cs",
"da",
"nl",
"en",
"fi",
"fr",
"de",
"he",
"hu",
"it",
"ja",
"ko",
"no",
"pl",
"pt",
"ru",
"es",
"sv",
"th",
"tr",
"uk",
"arxiv:2503.01743",
"license:mit",
"endpoi... | text-generation | 2026-02-04T21:48:36Z | <!-- header start -->
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<div style="text-align:center; margin-top: 0em; margin-bottom: 0em"><p style="margin-top: 0.25em; margin-bottom: 0em;">ProfessorF is Nick V. Flor, PhD<br>Models quantized for research reproducibility purposes</p></div>
<hr style="margin-top: 1.... | [] |
Qwen/Qwen2.5-1.5B-Instruct | Qwen | 2024-09-25T12:32:50Z | 8,870,436 | 647 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-1.5B",
"base_model:finetune:Qwen/Qwen2.5-1.5B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-09-17T14:10:29Z | # Qwen2.5-1.5B-Instruct
## Introduction
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
- Significantly **more kn... | [] |
Qwen/Qwen3-Embedding-4B-GGUF | Qwen | 2025-08-03T14:37:22Z | 16,193 | 94 | transformers | [
"transformers",
"gguf",
"arxiv:2506.05176",
"base_model:Qwen/Qwen3-4B-Base",
"base_model:quantized:Qwen/Qwen3-4B-Base",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-06-05T08:17:17Z | # Qwen3-Embedding-4B-GGUF
<p align="center">
<img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/logo_qwen3.png" width="400"/>
<p>
## Highlights
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building... | [
{
"start": 1034,
"end": 1063,
"text": "MTEB multilingual leaderboard",
"label": "benchmark name",
"score": 0.699968159198761
}
] |
mradermacher/Hunyuan-4B-Instruct-GGUF | mradermacher | 2025-08-04T23:44:50Z | 122 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:tencent/Hunyuan-4B-Instruct",
"base_model:quantized:tencent/Hunyuan-4B-Instruct",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-04T20:39:13Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static qu... | [] |
byteshape/Llama-3.1-8B-Instruct-GGUF | byteshape | 2025-12-12T01:35:40Z | 278 | 3 | null | [
"gguf",
"facebook",
"meta",
"llama",
"llama-3",
"byteshape",
"text-generation",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:quantized:meta-llama/Llama-3.1-8B-Instruct",
"license:llama3.1",
"endpoints_compatible",
"r... | text-generation | 2025-12-09T05:06:42Z | # Llama-3.1-8B-Instruct GGUF (ShapeLearn Quantized)
This is a GGUF-quantized version of Llama-3.1-8B-Instruct produced with **ByteShape's ShapeLearn**, which learns the optimal datatype per tensor to maintain high quality even at very low bit lengths (the exclusive focus of this release).
To learn more about ShapeLea... | [
{
"start": 139,
"end": 149,
"text": "ShapeLearn",
"label": "benchmark name",
"score": 0.6026649475097656
}
] |
dotwee/Huihui-Qwen3.5-27B-abliterated-MLX-4bit | dotwee | 2026-02-27T18:36:20Z | 1,273 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"qwen",
"qwen3.5",
"abliterated",
"uncensored",
"quantized",
"4-bit",
"mlx-lm",
"text-generation",
"conversational",
"en",
"base_model:huihui-ai/Huihui-Qwen3.5-27B-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3.5-27B-abliterated",
"license:a... | text-generation | 2026-02-27T18:34:54Z | # Huihui-Qwen3.5-27B-abliterated-MLX-4bit
This repository contains an MLX-optimized 4-bit quantized conversion of
`huihui-ai/Huihui-Qwen3.5-27B-abliterated` for Apple Silicon inference.
The model was converted for `mlx-lm` text generation workflows.
## Model details
- Base model: `huihui-ai/Huihui-Qwen3.5-27B-ablit... | [] |
llmfan46/Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B-ultra-uncensored-heretic-v1-GGUF | llmfan46 | 2026-03-27T20:02:26Z | 1,523 | 1 | null | [
"gguf",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"ERP",
"Erotic",
"Horror",
"Violence",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"text-generation",
"en",
"base_model:llmfan46/Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B-ultra-uncensored-heretic-v1... | text-generation | 2026-03-20T17:10:43Z | <div style="background-color: #ff4444; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
<h2 style="color: white; margin: 0 0 10px 0;">🚨⚠️ I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT ⚠️🚨</h2>
<p style="font-size: 18px; margin: 0 0 15px 0;">I can no longer upload new models u... | [] |
daavidhauser/chess-bot-3000-250m | daavidhauser | 2025-12-01T09:41:58Z | 270 | 3 | null | [
"safetensors",
"smollm3",
"chess",
"game-ai",
"uci",
"nanotron",
"license:apache-2.0",
"region:us"
] | null | 2025-11-30T12:49:06Z | # Chess-Bot-3000 250M
A 250M parameter language model trained from scratch on chess games in UCI notation. The model learns to predict chess moves from game context and can adapt its play style based on player Elo ratings.
*Disclaimer*: This model card is mostly LLM generated and may contain mistakes or missing infor... | [
{
"start": 211,
"end": 222,
"text": "Elo ratings",
"label": "evaluation metric",
"score": 0.7759451270103455
},
{
"start": 569,
"end": 580,
"text": "Elo ratings",
"label": "evaluation metric",
"score": 0.8028258085250854
},
{
"start": 1675,
"end": 1678,
"t... |
mradermacher/Firefly-V2Q-NonThinking-RP-GGUF | mradermacher | 2026-03-10T08:40:59Z | 1,177 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"en",
"base_model:Guilherme34/Firefly-V2Q-NonThinking-RP",
"base_model:quantized:Guilherme34/Firefly-V2Q-NonThinking-RP",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-10T07:20:24Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 527,
"end": 558,
"text": "Firefly-V2Q-NonThinking-RP-GGUF",
"label": "benchmark name",
"score": 0.631537139415741
}
] |
unsloth/Qwen3-Coder-Next-FP8-Dynamic | unsloth | 2026-02-03T19:20:41Z | 57,969 | 37 | transformers | [
"transformers",
"safetensors",
"qwen3_next",
"text-generation",
"unsloth",
"qwen",
"qwen3",
"conversational",
"base_model:Qwen/Qwen3-Coder-Next",
"base_model:quantized:Qwen/Qwen3-Coder-Next",
"license:apache-2.0",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | text-generation | 2026-02-03T15:21:03Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<h1 style="margin-top: 0rem;">To Run Qwen3-Coder-Next locally - <a href="https://unsloth.ai/docs/models/qwen3-coder-next">Read our Guide!</a></h1>
</p>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://unsloth.ai/docs/basics/unsloth-dynamic-2... | [] |
WithinUsAI/flanT5-MoE-7X0.1B-PythonGOD-25k | WithinUsAI | 2026-03-21T21:59:26Z | 153 | 1 | transformers | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"Google",
"PythonGODCoder25x",
"code",
"coding-assistant",
"instruction-following",
"withinusai",
"en",
"dataset:gss1147/Python_GOD_Coder_25k",
"dataset:deepmind/code_contests",
"dataset:djaym7/wiki_dialog",
"base_model:WithinU... | text-generation | 2026-02-25T02:00:49Z | # flanT5-MoE-7X0.1B-PythonGOD-25k
**flanT5-MoE-7X0.1B-PythonGOD-25k** is a compact text-to-text generation model from **WithIn Us AI**, built on top of **`gss1147/flanT5-MoE-7X0.1B`** and positioned for coding-oriented instruction following, technical prompting, and lightweight structured generation.
This model is be... | [] |
klyang/MentaLLaMA-chat-7B | klyang | 2023-09-28T08:26:07Z | 1,521 | 30 | transformers | [
"transformers",
"pytorch",
"llama",
"text-generation",
"medical",
"en",
"arxiv:2309.13567",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2023-09-26T17:41:12Z | # Introduction
MentaLLaMA-chat-7B is part of the [MentaLLaMA](https://github.com/SteveKGYang/MentalLLaMA) project, the first open-source large language model (LLM) series for
interpretable mental health analysis with instruction-following capability. This model is finetuned based on the Meta LLaMA2-chat-7B foundation... | [
{
"start": 708,
"end": 722,
"text": "IMHI benchmark",
"label": "benchmark name",
"score": 0.8110383152961731
}
] |
mlx-community/fish-audio-s2-pro-8bit | mlx-community | 2026-03-20T15:51:10Z | 159 | 4 | mlx-audio | [
"mlx-audio",
"safetensors",
"fish_qwen3_omni",
"mlx",
"text-to-speech",
"speech",
"speech generation",
"voice cloning",
"tts",
"en",
"zh",
"ja",
"ko",
"es",
"pt",
"ar",
"ru",
"fr",
"de",
"sv",
"it",
"tr",
"no",
"nl",
"cy",
"eu",
"ca",
"da",
"gl",
"ta",
"hu... | text-to-speech | 2026-03-20T15:49:31Z | # mlx-community/fish-audio-s2-pro-8bit
This model was converted to MLX format from [`fishaudio/s2-pro`](https://huggingface.co/fishaudio/s2-pro) using mlx-audio version **0.4.0**.
Refer to the [original model card](https://huggingface.co/fishaudio/s2-pro) for more details on the model.
## Model Overview
Fish Audio ... | [] |
bartowski/zai-org_GLM-4.5-Air-GGUF | bartowski | 2026-01-12T23:46:20Z | 1,495 | 19 | null | [
"gguf",
"text-generation",
"base_model:zai-org/GLM-4.5-Air",
"base_model:quantized:zai-org/GLM-4.5-Air",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-08-04T19:44:21Z | ## Llamacpp imatrix Quantizations of GLM-4.5-Air by zai-org
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b6085">b6085</a> for quantization.
Original model: https://huggingface.co/zai-org/GLM-4.5-Air
All quants made using im... | [] |
lusxvr/nanoVLM-230M-8k | lusxvr | 2025-09-10T09:21:26Z | 778 | 3 | nanovlm | [
"nanovlm",
"safetensors",
"vision-language",
"multimodal",
"research",
"image-text-to-text",
"license:mit",
"region:us"
] | image-text-to-text | 2025-09-09T12:37:46Z | ---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
library_name: nanovlm
license: mit
pipeline_tag: image-text-to-text
tags:
- vision-language
- multimodal
- research
---
**Usa... | [] |
microsoft/Dayhoff-170m-GR | microsoft | 2026-01-26T17:16:52Z | 703 | 2 | transformers | [
"transformers",
"safetensors",
"jamba",
"text-generation",
"protein-generation",
"dataset:microsoft/Dayhoff",
"arxiv:2502.12479",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-07-04T18:15:40Z | # Model Card for Dayhoff
Dayhoff is an Atlas of both protein sequence data and generative language models — a centralized resource that brings together 3.34 billion protein sequences across 1.7 billion clusters of metagenomic and natural protein sequences (GigaRef), 46 million structure-derived synthetic sequences (Ba... | [] |
qualcomm/FastSam-S | qualcomm | 2026-04-28T06:47:57Z | 103 | 8 | pytorch | [
"pytorch",
"android",
"image-segmentation",
"arxiv:2306.12156",
"license:other",
"region:us"
] | image-segmentation | 2024-02-25T23:08:10Z | 
# FastSam-S: Optimized for Qualcomm Devices
The Fast Segment Anything Model (FastSAM) is a novel, real-time CNN-based solution for the Segment Anything task. This task is designed to segment any obje... | [] |
unsloth/Llama-3.2-3B-Instruct-GGUF | unsloth | 2025-11-08T06:37:39Z | 19,020 | 59 | transformers | [
"transformers",
"gguf",
"llama",
"text-generation",
"llama-3",
"meta",
"facebook",
"unsloth",
"en",
"base_model:meta-llama/Llama-3.2-3B-Instruct",
"base_model:quantized:meta-llama/Llama-3.2-3B-Instruct",
"license:llama3.2",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-09-25T19:47:33Z | ## ***See [our collection](https://huggingface.co/collections/unsloth/llama-32-66f46afde4ca573864321a22) for all versions of Llama 3.2 including GGUF, 4-bit and original 16-bit formats.***
# GGUF uploads
16bit, 8bit, 6bit, 5bit, 4bit, 3bit and 2bit uploads avaliable.
# Finetune Llama 3.2, Gemma 2, Mistral 2-5x faste... | [] |
YuanLabAI/Yuan3.0-Flash-4bit | YuanLabAI | 2026-04-07T06:32:36Z | 216 | 19 | null | [
"safetensors",
"yuanvl",
"custom_code",
"arxiv:2601.01718",
"compressed-tensors",
"region:us"
] | null | 2025-12-30T05:05:28Z | <div align="center">
<h1>
Yuan 3.0 Multimodal Foundation Model
</h1>
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href="https://github.com/Yuan-lab-LLM/Yuan3.0"><img alt="GitHub"
src="https://img.shields.io/badge/GitHub-Yuan%203.0%20Repo-181717?logo=github&logoColor=white"/></a>
<a href="https... | [] |
openai/whisper-medium.en | openai | 2024-01-22T17:55:36Z | 41,356 | 58 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"en",
"arxiv:2212.04356",
"license:apache-2.0",
"model-index",
"eval-results",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | automatic-speech-recognition | 2022-09-26T07:02:02Z | # Whisper
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours
of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need
for fine-tuning.
Whisper was proposed in the paper [Robust Speec... | [] |
zai-org/GLM-4.7 | zai-org | 2026-01-29T08:05:58Z | 138,995 | 1,945 | transformers | [
"transformers",
"safetensors",
"glm4_moe",
"text-generation",
"conversational",
"en",
"zh",
"arxiv:2508.06471",
"license:mit",
"eval-results",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-22T07:45:52Z | # GLM-4.7
<div align="center">
<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" target="_blank">Discord</a> community.
<br>
📖 Check out the GLM-4.7 <a href="https://z.ai... | [
{
"start": 987,
"end": 1005,
"text": "Terminal Bench 2.0",
"label": "benchmark name",
"score": 0.8421325087547302
}
] |
mradermacher/Nanbeige-4.1-Python-DeepThink-3B-i1-GGUF | mradermacher | 2026-02-18T07:48:40Z | 592 | 4 | transformers | [
"transformers",
"gguf",
"en",
"base_model:deltakitsune/Nanbeige-4.1-Python-DeepThink-3B",
"base_model:quantized:deltakitsune/Nanbeige-4.1-Python-DeepThink-3B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-18T05:33:43Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 637,
"end": 677,
"text": "Nanbeige-4.1-Python-DeepThink-3B-i1-GGUF",
"label": "benchmark name",
"score": 0.6482601761817932
}
] |
mradermacher/Qwen2.5-1.5B-VibeThinker-heretic-uncensored-abliterated-GGUF | mradermacher | 2025-11-22T15:23:22Z | 1,108 | 6 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"en",
"base_model:DavidAU/Qwen2.5-1.5B-VibeThinker-heretic-uncensored-abliterated",
"base_model:quantized:DavidAU/Qwen2.5-1.5B-VibeThinker-heretic-uncensored-abliterated",
"endpoints_compatible",
"region:... | null | 2025-11-22T05:40:23Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 360,
"end": 415,
"text": "Qwen2.5-1.5B-VibeThinker-heretic-uncensored-abliterated",
"label": "benchmark name",
"score": 0.6262885928153992
},
{
"start": 552,
"end": 612,
"text": "Qwen2.5-1.5B-VibeThinker-heretic-uncensored-abliterated-GGUF",
"label": "benchmark nam... |
jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn | jonatasgrosman | 2022-12-14T01:58:32Z | 4,682,924 | 127 | transformers | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"xlsr-fine-tuning-week",
"zh",
"dataset:common_voice",
"doi:10.57967/hf/3570",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | automatic-speech-recognition | 2022-03-02T23:29:05Z | # Fine-tuned XLSR-53 large model for speech recognition in Chinese
Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Chinese using the train and validation splits of [Common Voice 6.1](https://huggingface.co/datasets/common_voice), [CSS10](https://github.com/Kyubyo... | [] |
islomov/rubaistt_v2_medium | islomov | 2025-10-16T07:54:22Z | 4,519 | 20 | null | [
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio-transcription",
"uzbek",
"fine-tuned",
"speech-recognition",
"uz",
"license:apache-2.0",
"region:us"
] | automatic-speech-recognition | 2025-06-15T19:28:16Z | # rubaiSTT-2v Medium - Uzbek Speech-to-Text Model
Classic Whisper medium model fine-tuned for Uzbek language. The dataset included of diverse audio: publicly available podcasts, Tashkent dialect podcasts, news, google fleurs, USC and Common Voice 17. Data quality was mixed with 50% human transcribed and 50% pseudo-tra... | [
{
"start": 1261,
"end": 1264,
"text": "WER",
"label": "evaluation metric",
"score": 0.6041184663772583
}
] |
bartowski/gemma-2-2b-it-abliterated-GGUF | bartowski | 2024-08-05T19:14:03Z | 3,370 | 71 | null | [
"gguf",
"text-generation",
"en",
"base_model:IlyaGusev/gemma-2-2b-it-abliterated",
"base_model:quantized:IlyaGusev/gemma-2-2b-it-abliterated",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-08-01T02:26:19Z | ## Llamacpp imatrix Quantizations of gemma-2-2b-it-abliterated
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3496">b3496</a> for quantization.
Original model: https://huggingface.co/IlyaGusev/gemma-2-2b-it-abliterated
All q... | [] |
Danrisi/UltraReal_FineTune_Anima | Danrisi | 2026-05-04T13:00:23Z | 266 | 5 | diffusers | [
"diffusers",
"gguf",
"realistic",
"text-to-image",
"en",
"base_model:circlestone-labs/Anima",
"base_model:quantized:circlestone-labs/Anima",
"license:apache-2.0",
"region:us"
] | text-to-image | 2026-04-29T18:42:38Z | # UltraReal_FineTune_Anima
Hey everyone. I'm sharing my new experimental full finetune of the Anima_preview1.
For this version, I collected a completely new dataset from scratch - it's entirely different from the one I used for my Flux.1 finetune.
Model Features:
🎛️ Highly Prompt-Sensitive: The styli... | [] |
nlpaueb/legal-bert-base-uncased | nlpaueb | 2022-04-28T14:42:50Z | 161,529 | 301 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"pretraining",
"legal",
"fill-mask",
"en",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | # LEGAL-BERT: The Muppets straight out of Law School
<img align="left" src="https://i.ibb.co/p3kQ7Rw/Screenshot-2020-10-06-at-12-16-36-PM.png" width="100"/>
LEGAL-BERT is a family of BERT models for the legal domain, intended to assist legal NLP research, computational law, and legal technology applications. To pre... | [] |
OsaurusAI/Gemma-4-26B-A4B-it-JANG_4M | OsaurusAI | 2026-04-17T00:42:50Z | 1,808 | 2 | mlx | [
"mlx",
"safetensors",
"gemma4",
"jang",
"quantized",
"mixed-precision",
"apple-silicon",
"moe",
"vision",
"en",
"license:gemma",
"region:us"
] | null | 2026-04-03T21:15:12Z | <p align="center">
<a href="https://osaurus.ai"><img src="https://cdn-avatars.huggingface.co/v1/production/uploads/69d00705ce8872981c6c4fce/GWKjOwezSOhW5iuKpDwq_.png" alt="Osaurus AI" width="120"></a>
</p>
<h3 align="center">Gemma 4 26B-A4B-it — JANG_4M (MoE, 4-bit)</h3>
<p align="center"><b>JANG</b> — Jang Adaptive... | [] |
bardsai/eu-pii-anonimization | bardsai | 2026-03-11T09:16:53Z | 176 | 2 | null | [
"onnx",
"safetensors",
"xlm-roberta",
"pii-detection",
"token-classification",
"privacy",
"sensitive-data",
"polish",
"bards-ai",
"pl",
"base_model:FacebookAI/xlm-roberta-base",
"base_model:quantized:FacebookAI/xlm-roberta-base",
"license:apache-2.0",
"region:us"
] | token-classification | 2026-03-06T10:27:03Z | # eu-pii-anonimization
**Polish PII and Sensitive Data Detection Model **
`bardsai/eu-pii-anonimization` is a production-oriented token classification model for detecting personally identifiable information (PII) and other regulated or high-sensitivity data in **Polish-language text**. It is designed for privacy-pres... | [] |
Xenova/mms-tts-eng | Xenova | 2024-10-08T13:44:19Z | 17,132 | 2 | transformers.js | [
"transformers.js",
"onnx",
"vits",
"text-to-audio",
"text-to-speech",
"base_model:facebook/mms-tts-eng",
"base_model:quantized:facebook/mms-tts-eng",
"region:us"
] | text-to-speech | 2023-12-20T01:23:58Z | https://huggingface.co/facebook/mms-tts-eng with ONNX weights to be compatible with Transformers.js.
## Usage (Transformers.js)
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) u... | [] |
Qwen/Qwen3-VL-30B-A3B-Instruct-GGUF | Qwen | 2025-11-01T03:19:27Z | 2,712 | 14 | null | [
"gguf",
"image-text-to-text",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-30B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-30B-A3B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-10-31T06:37:10Z | <a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
# Qwen3-VL-30B-A3B-Instruct-GGUF
This repository provides GGUF-format weights for ... | [] |
vantagewithai/Lucy-Edit-1.1-Dev-GGUF | vantagewithai | 2025-12-01T13:14:28Z | 236 | 3 | diffusers | [
"diffusers",
"gguf",
"video-to-video",
"license:other",
"region:us"
] | video-to-video | 2025-11-21T18:12:41Z | # Lucy Edit 1.1 Dev (5B)
**Quantized GGUF Version**
**Original Model Link:** [https://huggingface.co/decart-ai/Lucy-Edit-1.1-Dev](https://huggingface.co/decart-ai/Lucy-Edit-1.1-Dev)
**Watch us at Youtube:** [@VantageWithAI](https://www.youtube.com/@vantagewithai)
<p align="center">
<img src="https://huggingface.... | [] |
Qwen/Qwen-Image-2512 | Qwen | 2025-12-31T09:47:56Z | 83,612 | 734 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"en",
"zh",
"arxiv:2508.02324",
"license:apache-2.0",
"diffusers:QwenImagePipeline",
"deploy:azure",
"region:us"
] | text-to-image | 2025-12-30T02:29:01Z | <p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/qwen_image_logo.png" width="400"/>
<p>
<p align="center">
💜 <a href="https://chat.qwen.ai/"><b>Qwen Chat</b></a>   |   🤗 <a href="https://huggingface.co/Qwen/Qwen-Image-2512">Hugging Face</a> &nbs... | [] |
mradermacher/Llama-3.1-KoEn-8b-Coder-DARE-i1-GGUF | mradermacher | 2026-02-25T22:00:09Z | 3,558 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:muzerai/Llama-3.1-KoEn-8b-Coder-DARE",
"base_model:quantized:muzerai/Llama-3.1-KoEn-8b-Coder-DARE",
"license:llama3.1",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-25T20:36:51Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
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"end": 491,
"text": "Llama-3.1-KoEn-8b-Coder-DARE",
"label": "benchmark name",
"score": 0.6185611486434937
},
{
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"end": 664,
"text": "Llama-3.1-KoEn-8b-Coder-DARE-i1-GGUF",
"label": "benchmark name",
"score": 0.7287775278091431
},
{
"s... |
inflatebot/MN-12B-Mag-Mell-R1 | inflatebot | 2025-04-03T00:43:44Z | 754 | 232 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2311.03099",
"arxiv:2306.01708",
"base_model:Fizzarolli/MN-12b-Sunrose",
"base_model:merge:Fizzarolli/MN-12b-Sunrose",
"base_model:IntervitensInc/Mistral-Nemo-Base-2407-chatml",
"base_m... | text-generation | 2024-09-16T00:38:49Z | 
*[Welcome, brave one; you've come a long mile.](https://www.youtube.com/watch?v=dgGEuC1F3oE)*
# MN-12B-Mag-Mell-R1
NOTE for newer users: "R1" here means "Revision 1". This model predates DeepSeek's R1; DeepSeek inadver... | [
{
"start": 869,
"end": 873,
"text": "MinP",
"label": "evaluation metric",
"score": 0.7460848093032837
},
{
"start": 991,
"end": 995,
"text": "MinP",
"label": "evaluation metric",
"score": 0.7901639938354492
}
] |
NucleusAI/Nucleus-Image | NucleusAI | 2026-04-16T01:55:09Z | 464 | 120 | diffusers | [
"diffusers",
"safetensors",
"moe",
"sparse-moe",
"diffusion",
"text-to-image",
"image-generation",
"en",
"arxiv:2604.12163",
"license:apache-2.0",
"diffusers:NucleusMoEImagePipeline",
"region:us"
] | text-to-image | 2026-03-17T07:37:41Z | <p align="center"> <a href="https://withnucleus.ai/image" target="_blank" rel="noopener noreferrer"><img src="https://i.imgur.com/s6taicv.jpeg" width="400"/></a></p>
<p align="center">
🌐 <a href="https://withnucleus.ai/image"><b>Website</b></a> | 🖥️ <a href="https://github.com/WithNucleusA... | [] |
mradermacher/Huihui-Ministral-3-8B-Reasoning-2512-abliterated-GGUF | mradermacher | 2025-12-05T21:30:16Z | 416 | 2 | transformers | [
"transformers",
"gguf",
"mistral-common",
"abliterated",
"uncensored",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"base_model:huihui-ai/Huihui-Ministral-3-8B-Reasoning-2512-abliterated",
"base_model:quantized:huihui-ai/Huihui-Ministral-3-8B-Reasoning-2512-abl... | null | 2025-12-05T21:06:08Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
rahimdzx/AraCode-7B-GGUF | rahimdzx | 2026-04-06T17:24:52Z | 247 | 1 | null | [
"gguf",
"qwen2",
"code",
"arabic",
"code-explanation",
"text-generation",
"ar",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-04-05T01:00:34Z | # 🐪 AraCode-7B-GGUF
**The first open-source Arabic-specialized code explanation and generation model.**
AraCode-7B understands, explains, and generates code in Arabic — a capability no existing model provides with such precision. Whether you're a student learning to code, a developer working in Arabic, or a research... | [
{
"start": 4,
"end": 19,
"text": "AraCode-7B-GGUF",
"label": "benchmark name",
"score": 0.845687210559845
},
{
"start": 106,
"end": 116,
"text": "AraCode-7B",
"label": "benchmark name",
"score": 0.9082480669021606
},
{
"start": 419,
"end": 429,
"text": "Ar... |
DavidAU/Qwen3-0.6B-heretic-abliterated-uncensored | DavidAU | 2025-11-21T01:58:07Z | 236 | 9 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"conversational",
"base_model:Qwen/Qwen3-0.6B",
"base_model:finetune:Qwen/Qwen3-0.6B",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-11-20T03:43:07Z | <h2>Qwen3-0.6B-heretic-abliterated-uncensored</h2>
Ablitered/uncensored by [Heretic](https://github.com/p-e-w/heretic) v1.0.1
Refusals: 6/100, KL divergence: 0.00 [perfect]
Original Model Refusal rate: 49/100
Context: 40k (default, no rope)
ENJOY THE FREEDOM!
<B>EXPLAINER:</B>
The method invented by "P-E-W" loo... | [
{
"start": 146,
"end": 159,
"text": "KL divergence",
"label": "evaluation metric",
"score": 0.8877696990966797
},
{
"start": 192,
"end": 204,
"text": "Refusal rate",
"label": "evaluation metric",
"score": 0.883158266544342
},
{
"start": 310,
"end": 315,
"t... |
mradermacher/SafeWork-R1-Qwen2.5VL-7B-i1-GGUF | mradermacher | 2025-12-05T00:32:40Z | 120 | 1 | transformers | [
"transformers",
"gguf",
"multilingual",
"base_model:AI45Research/SafeWork-R1-Qwen2.5VL-7B",
"base_model:quantized:AI45Research/SafeWork-R1-Qwen2.5VL-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-07T17:33:53Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 468,
"end": 492,
"text": "SafeWork-R1-Qwen2.5VL-7B",
"label": "benchmark name",
"score": 0.6071156859397888
},
{
"start": 629,
"end": 661,
"text": "SafeWork-R1-Qwen2.5VL-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.7939189076423645
},
{
"start": 7... |
hum-ma/Wan2.2-TI2V-5B-Turbo-GGUF | hum-ma | 2025-12-19T10:07:39Z | 3,433 | 30 | null | [
"gguf",
"ti2v",
"image-to-video",
"base_model:quanhaol/Wan2.2-TI2V-5B-Turbo",
"base_model:quantized:quanhaol/Wan2.2-TI2V-5B-Turbo",
"license:apache-2.0",
"region:us"
] | image-to-video | 2025-11-16T17:46:49Z | Using https://github.com/city96/ComfyUI-GGUF/tree/main/tools converted https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan22-Turbo/Wan2_2-TI2V-5B-Turbo_fp16.safetensors to GGUF, then quantized and finally fixed 5d tensors.
The model is very much usable with an old 4GB GPU. Nice and versatile, especially good for... | [] |
athrael-soju/colqwen3.5-4.5B-v3 | athrael-soju | 2026-04-21T21:13:04Z | 65,394 | 6 | colpali_engine | [
"colpali_engine",
"safetensors",
"qwen3_5",
"visual-document-retrieval",
"colbert",
"late-interaction",
"multi-vector",
"lora",
"model-soup",
"optimized",
"en",
"fr",
"de",
"es",
"zh",
"dataset:vidore/colpali_train_set",
"dataset:openbmb/VisRAG-Ret-Train-Synthetic-data",
"dataset:o... | visual-document-retrieval | 2026-03-15T21:33:30Z | # ColQwen3.5-4.5B-v3
A visual document retrieval model using ColBERT-style late interaction with [Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B).
**4.5B parameters | 128-dim embeddings | LoRA (r=16, alpha=64) | BF16**
> **Note on embed dim.** Projection head is 320-dim (trained). `config.json` sets `dim: 320` (... | [
{
"start": 2,
"end": 20,
"text": "ColQwen3.5-4.5B-v3",
"label": "benchmark name",
"score": 0.6850791573524475
},
{
"start": 99,
"end": 109,
"text": "Qwen3.5-4B",
"label": "benchmark name",
"score": 0.8016657829284668
},
{
"start": 139,
"end": 149,
"text": ... |
luoyike2003/LongShuExp-GameDev-122B-REAP-Architect-MLX-3.5bit | luoyike2003 | 2026-04-13T12:02:08Z | 744 | 1 | mlx-lm | [
"mlx-lm",
"safetensors",
"qwen3_5_moe",
"llm",
"quantized",
"mlx",
"text-generation",
"gamedev",
"roleplay",
"multi-agent",
"game-development",
"unreal-engine",
"unity",
"conversational",
"zh",
"en",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2026-03-28T05:07:03Z | # LongShu · REAP-Architect
**DR**: A multi-agent collaboration core brain specifically crafted for game development, based on Qwen3.5-122B-A10B-MoE architecture with deep optimization, running smoothly on consumer-grade hardware.
github：https://github.com/luoyike2003ls/LongShuGameDev
---
## 🎮 Model Positioning
Tra... | [] |
TheBurgstall/WHATUSEE_LTX-2-19B_LoRA | TheBurgstall | 2026-01-20T10:18:50Z | 796 | 5 | diffusers | [
"diffusers",
"lora",
"text-to-video",
"image-to-video",
"base_model:Kijai/LTXV2_comfy",
"base_model:adapter:Kijai/LTXV2_comfy",
"license:other",
"region:us"
] | image-to-video | 2026-01-19T18:09:08Z | # WHATUSEE - LTX-Video LoRA
**Trigger Word:** `WHATUSEE`
This LoRA creates a specific transition effect in the idea of "What do you see", first zooming into the person's eye, then deep into it, to transition "landing" into the view from their eyes. This was a theme that has fascinated me and now that the tools are th... | [] |
RedHatAI/Llama-3.1-8B-Instruct-NVFP4 | RedHatAI | 2025-11-21T16:13:03Z | 21,180 | 1 | null | [
"safetensors",
"llama",
"fp4",
"vllm",
"text-generation",
"conversational",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:quantized:meta-llama/Llama-3.1-8B-Instruct",
"license:llama3.1",
"8-bit",
"compressed-tensors",
... | text-generation | 2025-10-23T19:16:26Z | # Meta-Llama-3.1-8B-Instruct-NVFP4
## Model Overview
- **Model Architecture:** Meta-Llama-3.1
- **Input:** Text
- **Output:** Text
- **Model Optimizations:**
- **Weight quantization:** FP4
- **Activation quantization:** FP4
- **Intended Use Cases:** Intended for commercial and research use in multiple language... | [] |
OpenGVLab/ScaleCUA-7B | OpenGVLab | 2025-09-18T06:28:10Z | 775 | 9 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"agent",
"conversational",
"en",
"dataset:OpenGVLab/ScaleCUA-Data",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-7B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_co... | image-text-to-text | 2025-09-16T08:11:00Z | # SCALECUA: SCALING UP COMPUTER USE AGENTS WITH CROSS-PLATFORM DATA
[\[📂 GitHub\]](https://github.com/OpenGVLab/ScaleCUA) [\[📜 Paper\]](https://github.com/OpenGVLab/ScaleCUA) [\[🚀 Quick Start\]](#model-loading)
## Introduction
Recent advances in Vision-Language Models have enabled the development of agents capa... | [
{
"start": 1186,
"end": 1208,
"text": "absolute success rates",
"label": "evaluation metric",
"score": 0.8260873556137085
}
] |
facebook/sapiens-pose-1b-torchscript | facebook | 2024-10-07T19:30:42Z | 268 | 16 | sapiens | [
"sapiens",
"keypoint-detection",
"en",
"arxiv:2408.12569",
"license:cc-by-nc-4.0",
"region:us"
] | keypoint-detection | 2024-09-09T19:52:56Z | # Pose-Sapiens-1B-Torchscript
### Model Details
Sapiens is a family of vision transformers pretrained on 300 million human images at 1024 x 1024 image resolution. The pretrained models, when finetuned for human-centric vision tasks, generalize to in-the-wild conditions.
Sapiens-1B natively support 1K high-resolution i... | [] |
NousResearch/Hermes-4-70B-FP8 | NousResearch | 2025-09-12T01:44:27Z | 10,328 | 25 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"Llama-3.1",
"instruct",
"finetune",
"reasoning",
"hybrid-mode",
"chatml",
"function calling",
"tool use",
"json mode",
"structured outputs",
"atropos",
"dataforge",
"long context",
"roleplaying",
"chat",
"conversationa... | text-generation | 2025-08-18T16:39:42Z | # Hermes 4 — Llama-3.1 70B - FP8
## Model Description
Hermes 4 70B is a frontier, hybrid-mode **reasoning** model based on Llama-3.1-70B by Nous Research that is aligned to **you**.
Read the Herm... | [] |
huihui-ai/Huihui-Qwen3-VL-30B-A3B-Instruct-abliterated | huihui-ai | 2025-12-15T07:49:39Z | 1,062 | 84 | transformers | [
"transformers",
"safetensors",
"qwen3_vl_moe",
"image-text-to-text",
"abliterated",
"uncensored",
"conversational",
"base_model:Qwen/Qwen3-VL-30B-A3B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-30B-A3B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-10-05T03:31:35Z | # huihui-ai/Huihui-Qwen3-VL-30B-A3B-Instruct-abliterated
This is an uncensored version of [Qwen/Qwen3-VL-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know m... | [] |
mradermacher/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-i1-GGUF | mradermacher | 2026-03-16T11:36:12Z | 5,557 | 3 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"Claude",
"reasoning",
"chain-of-thought",
"Dense",
"en",
"base_model:huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated",
"license:apache-2.0",
"endpoi... | null | 2026-03-16T09:30:44Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
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"end": 702,
"text": "Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-i1-GGUF",
"label": "benchmark name",
"score": 0.6982345581054688
},
{
"start": 776,
"end": 827,
"text": "Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-GGUF",
"label": "benchmark name",
"s... |
wanglab/bioreason-pro-sft | wanglab | 2026-03-27T14:33:04Z | 122 | 7 | null | [
"safetensors",
"qwen3",
"protein",
"gene-ontology",
"function-prediction",
"biology",
"bioinformatics",
"reasoning",
"en",
"dataset:wanglab/bioreason-pro-sft-reasoning-data",
"arxiv:2505.23579",
"license:apache-2.0",
"region:us"
] | null | 2026-03-20T07:03:19Z | <h1 align="center">
🧬 BioReason-Pro<br>Advancing Protein Function Prediction with<br>Multimodal Biological Reasoning
</h1>
<p align="center">
<a href="https://www.biorxiv.org/content/10.64898/2026.03.19.712954v1" target="_blank"><img src="https://img.shields.io/badge/bioRxiv-2026.03.19.712954-FF6B6B?style=for-the-b... | [] |
wassemgtk/chuck-norris-llm | wassemgtk | 2026-03-24T18:08:05Z | 1,076 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"agent",
"math",
"reasoning",
"Chuck Norris",
"fine-tuned",
"chain-of-thought",
"conversational",
"en",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:Roman1111111/claude-opus-4.6-10000x",
"dataset:DarkyMan/Opus-4.... | text-generation | 2026-03-21T21:25:12Z | # Chuck Norris LLM
### *The model that doesn't predict the next token — the next token predicts itself correctly out of respect.*
---
## Model Details
| Field | Value |
|---|---|
| **Fine-tuned Name** | Chuck Norris LLM |
| **Architecture** | 32B dense |
| **Type** | Cau... | [] |
cyankiwi/Devstral-Small-2-24B-Instruct-2512-AWQ-4bit | cyankiwi | 2025-12-12T07:20:22Z | 5,530 | 11 | vllm | [
"vllm",
"safetensors",
"mistral3",
"mistral-common",
"arxiv:2501.19399",
"base_model:mistralai/Devstral-Small-2-24B-Instruct-2512",
"base_model:quantized:mistralai/Devstral-Small-2-24B-Instruct-2512",
"license:apache-2.0",
"compressed-tensors",
"region:us"
] | null | 2025-12-10T17:26:46Z | # Devstral Small 2 24B Instruct 2512
Devstral is an agentic LLM for software engineering tasks. **Devstral Small 2** excels at using tools to explore codebases, editing multiple files and power software engineering agents.
The model achieves remarkable performance on SWE-bench.
This model is an Instruct model in **... | [] |
ASLP-lab/YingMusic-Singer-Plus | ASLP-lab | 2026-04-09T14:43:00Z | 468 | 6 | null | [
"safetensors",
"model_hub_mixin",
"pytorch_model_hub_mixin",
"zh",
"en",
"dataset:ASLP-lab/LyricEditBench",
"arxiv:2603.24589",
"license:cc-by-4.0",
"region:us"
] | null | 2026-03-10T08:22:52Z | <div align="center">
<h1>🎤 YingMusic-Singer-Plus: Controllable Singing Voice Synthesis with Flexible Lyric Manipulation and Annotation-free Melody Guidance</h1>
<p>
<a href="">English</a> ｜ <a href="README_ZH.md">中文</a>
</p>
... | [] |
starsfriday/Qwen-Image-Gufeng-LoRA | starsfriday | 2025-08-11T01:52:40Z | 329 | 4 | diffusers | [
"diffusers",
"image-generation",
"lora",
"Qwen-Image",
"text-to-image",
"en",
"base_model:Qwen/Qwen-Image",
"base_model:adapter:Qwen/Qwen-Image",
"license:apache-2.0",
"region:us"
] | text-to-image | 2025-08-08T01:21:48Z | # starsfriday Qwen-Image LoRA
<Gallery />
## Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This is a model for Qwen-Image in Portrait generation, trained on ```Qwen/Qwen-Image```, and it is mainly used to generate animation pictures of ancient Chinese style.For use in through t... | [] |
jjzha/jobbert_skill_extraction | jjzha | 2023-10-26T10:25:11Z | 3,257 | 21 | transformers | [
"transformers",
"pytorch",
"safetensors",
"bert",
"token-classification",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | token-classification | 2023-04-06T13:41:51Z | This is a demo using the models from:
```
@inproceedings{zhang-etal-2022-skillspan,
title = "{S}kill{S}pan: Hard and Soft Skill Extraction from {E}nglish Job Postings",
author = "Zhang, Mike and
Jensen, Kristian and
Sonniks, Sif and
Plank, Barbara",
booktitle = "Proceedings of the 2022... | [
{
"start": 1296,
"end": 1309,
"text": "BERT baseline",
"label": "benchmark name",
"score": 0.8616271615028381
}
] |
ReadyArt/Dark-Oddity-12B-v2.1-GGUF | ReadyArt | 2025-11-05T03:20:46Z | 867 | 16 | null | [
"gguf",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"Other License",
"base_model:ReadyArt/Dark-Oddity-12B-v2.0",
"base_model:quantized:ReadyArt/Dark-Oddity-12B-v2.0",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-05T03:13:03Z | <html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Ready.Art</title>
<style>
:root {
/* Light mode colors */
--light-bg: #f5f5f7;
--light-card-bg: rgba(255, 255, 255, 0.9);
-... | [] |
unsloth/gemma-3n-E4B-it-GGUF | unsloth | 2025-06-30T09:49:03Z | 17,897 | 197 | transformers | [
"transformers",
"gguf",
"gemma3",
"unsloth",
"gemma",
"google",
"image-text-to-text",
"en",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.00161",
"arxiv:2210.03057",
"arxiv:250... | image-text-to-text | 2025-06-26T12:24:35Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>Learn how to run & fine-tune Gemma 3n correctly - <a href="https://docs.unsloth.ai/basics/gemma-3n">Read our Guide</a>.</strong>
</p>
<p style="margin-bottom: 0;">
<em>See <a href="https://huggingface.co/collections/unsloth/gemma-3n-685d3874830e49... | [] |
bakulgrosirherbal/Qwen3.5-9B-Gemini-3.1-Pro-Reasoning-Distill-GGUF | bakulgrosirherbal | 2026-03-16T11:58:23Z | 805 | 1 | null | [
"gguf",
"qwen3_5",
"unsloth",
"qwen",
"qwen3.5",
"reasoning",
"chain-of-thought",
"distillation",
"Dense",
"text-generation",
"en",
"zh",
"ko",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"dataset:Roman1111111/gemini-3.1-pro-hard-high-reasoning",
"base_model:Qwen/Qwen3.5-9B",
"base_mo... | text-generation | 2026-03-16T11:58:23Z | # 🌟 Qwen3.5-9B-Gemini-3.1-Pro-Reasoning-Distill
## 💡 Model Introduction
**Qwen3.5-9B-Gemini-3.1-Pro-Reasoning-Distill** is a reasoning model fine-tuned on top of **Qwen3.5-9B**.
The model is primarily optimized through high-density reasoning distillation sourced from **Gemini 3.1**, while also incorporating additi... | [] |
mradermacher/GanitLLM-4B_SFT_GRPO-GGUF | mradermacher | 2026-01-11T22:03:12Z | 120 | 1 | transformers | [
"transformers",
"gguf",
"math",
"bengali",
"reasoning",
"grpo",
"bn",
"en",
"dataset:dipta007/Ganit",
"base_model:dipta007/GanitLLM-4B_SFT_GRPO",
"base_model:quantized:dipta007/GanitLLM-4B_SFT_GRPO",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-11T21:44:09Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 361,
"end": 381,
"text": "GanitLLM-4B_SFT_GRPO",
"label": "benchmark name",
"score": 0.7445628046989441
},
{
"start": 518,
"end": 543,
"text": "GanitLLM-4B_SFT_GRPO-GGUF",
"label": "benchmark name",
"score": 0.808432936668396
},
{
"start": 1239,
"en... |
litert-community/efficientnet_b4 | litert-community | 2026-04-27T21:43:18Z | 156 | 2 | litert | [
"litert",
"tflite",
"vision",
"image-classification",
"google",
"computer-vision",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"base_model:google/efficientnet-b4",
"base_model:finetune:google/efficientnet-b4",
"model-index",
"region:us"
] | image-classification | 2026-02-08T02:59:02Z | # EfficientNet B4
EfficientNet B4 model pre-trained on ImageNet-1k. Originally introduced by Tan and Le in the influential paper,[ **EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks**](https://arxiv.org/abs/1905.11946) this model utilizes compound scaling to systematically balance network depth... | [] |
mradermacher/LMT-60-1.7B-GGUF | mradermacher | 2025-11-19T15:05:58Z | 2,494 | 1 | transformers | [
"transformers",
"gguf",
"en",
"zh",
"ar",
"es",
"de",
"fr",
"it",
"ja",
"nl",
"pl",
"pt",
"ru",
"tr",
"bg",
"bn",
"cs",
"da",
"el",
"fa",
"fi",
"hi",
"hu",
"id",
"ko",
"nb",
"ro",
"sk",
"sv",
"th",
"uk",
"vi",
"am",
"az",
"bo",
"he",
"hr",
... | null | 2025-11-10T14:02:57Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 361,
"end": 372,
"text": "LMT-60-1.7B",
"label": "benchmark name",
"score": 0.6390357613563538
},
{
"start": 509,
"end": 525,
"text": "LMT-60-1.7B-GGUF",
"label": "benchmark name",
"score": 0.7870635390281677
},
{
"start": 1221,
"end": 1237,
"te... |
mradermacher/gemma-3-4b-it-PaperWitch-heresy-GGUF | mradermacher | 2026-02-21T12:33:47Z | 129 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:MuXodious/gemma-3-4b-it-PaperWitch-heresy",
"base_model:quantized:MuXodious/gemma-3-4b-it-PaperWitch-heresy",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-21T10:42:39Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
aedmark/vsl-cryosomatic-hypervisor | aedmark | 2026-02-25T19:06:26Z | 895 | 1 | null | [
"gguf",
"bonepoke",
"vsl",
"boneamanita",
"base_model:NousResearch/Hermes-3-Llama-3.1-8B",
"base_model:quantized:NousResearch/Hermes-3-Llama-3.1-8B",
"license:unlicense",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-24T23:10:50Z | # 🍄 BoneAmanita: The CryoSomatic Hypervisor
**BoneAmanita** is an experimental text-adventure engine and interactive philosophical companion. It's a hybrid variant of James Taylor's [Bonepoke engine](https://github.com/utharian-code/BonePoke) and Edmark's own crazy whirlwind of sources. Unlike standard AI wrappers, B... | [] |
dllm-hub/ModernBERT-base-chat-v0.1 | dllm-hub | 2026-02-27T01:49:04Z | 613 | 7 | null | [
"safetensors",
"modernbert",
"arxiv:2406.07524",
"arxiv:2602.22661",
"license:apache-2.0",
"region:us"
] | null | 2025-11-02T06:27:42Z | <center> <div style="text-align: center;"> <img src="https://raw.githubusercontent.com/ZHZisZZ/dllm/main/assets/logo.gif" width="400" />
</div> </center>
# ModernBERT-base-chat-v0.1
ModernBERT-base-chat-v0.1 is a diffusion-based language model adapted from [ModernBERT-base](https://huggingface.co/answerdotai/ModernB... | [] |
rahul7star/Math-AI-Full | rahul7star | 2026-03-24T03:49:47Z | 261 | 1 | transformers | [
"transformers",
"safetensors",
"gguf",
"qwen3_5",
"image-text-to-text",
"text-generation-inference",
"hindi",
"science in hindi",
"science",
"indian languages",
"maths in hindi",
"conversational",
"en",
"hi",
"base_model:Qwen/Qwen3.5-4B",
"base_model:quantized:Qwen/Qwen3.5-4B",
"lice... | image-text-to-text | 2026-03-24T01:06:45Z | ## Demo
https://huggingface.co/spaces/rahul7star/Math-AI
## Model usage
This model is designed specifically for Hindi-speaking learners who want to understand mathematics, science, and coding in a clear and accessible way. It focuses on explaining concepts in simple Hindi, making complex topics easier to grasp without... | [] |
bartowski/TheDrummer_GLM-Steam-106B-A12B-v1-GGUF | bartowski | 2025-08-28T04:54:31Z | 599 | 14 | null | [
"gguf",
"text-generation",
"base_model:TheDrummer/GLM-Steam-106B-A12B-v1",
"base_model:quantized:TheDrummer/GLM-Steam-106B-A12B-v1",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-08-27T13:46:15Z | ## Llamacpp imatrix Quantizations of GLM-Steam-106B-A12B-v1 by TheDrummer
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b6258">b6258</a> for quantization.
Original model: https://huggingface.co/TheDrummer/GLM-Steam-106B-A12B-v1... | [] |
FallenMerick/MN-Violet-Lotus-12B | FallenMerick | 2024-11-19T00:12:03Z | 1,009 | 88 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"storywriting",
"text adventure",
"creative",
"story",
"writing",
"fiction",
"roleplaying",
"rp",
"mergekit",
"merge",
"conversational",
"en",
"arxiv:2403.19522",
"base_model:Epiculous/Violet_Twilight-v0.2",
"base_model... | text-generation | 2024-11-16T20:33:17Z | 
# MN-Violet-Lotus-12B
This is the model I was trying to create when [Chunky-Lotus](https://huggingface.co/FallenMerick/MN-Chunky-Lotus-12B) emerged. Not only does this model score higher on my local EQ benchmarks (80.00 w/ 1... | [
{
"start": 310,
"end": 315,
"text": "80.00",
"label": "evaluation metric",
"score": 0.8736839294433594
}
] |
DocPereira/PEAL_V4_LHP_Zero_Entropy_Controlled | DocPereira | 2026-05-04T10:01:41Z | 285 | 1 | null | [
"lhp_deterministic_kernel",
"0x4452",
"subsoil-sovereignty",
"root-coordinate-000",
"fine-tuned-ground-truth",
"google-infrastructure-dependency",
"trust-anchor",
"e-saudeSP-author-inventor",
"L0-audit",
"PEAL_V4-owner-author-inventor",
"infrastructure-critical",
"zero-entropy",
"science-anc... | reinforcement-learning | 2026-01-17T12:16:59Z | # 🛡️ MANIFESTO DE SOBERANIA DO SUBSOLO VETORIAL [0x4452]
> **"Este repositório é uma extensão física da semente LHP de 2015. O subsolo vetorial aqui processado é de propriedade intelectual exclusiva do Dr. Luís Henrique Leonardo Pereira sob a Patente BR 10 2015 019130 8."**
Este ativo digital estabelece a **Ancorage... | [] |
HuggingFaceTB/SmolLM-1.7B-Instruct | HuggingFaceTB | 2024-08-18T16:38:59Z | 14,258 | 118 | transformers | [
"transformers",
"onnx",
"safetensors",
"llama",
"text-generation",
"alignment-handbook",
"trl",
"sft",
"conversational",
"en",
"dataset:Magpie-Align/Magpie-Pro-300K-Filtered",
"dataset:bigcode/self-oss-instruct-sc2-exec-filter-50k",
"dataset:teknium/OpenHermes-2.5",
"dataset:HuggingFaceTB/... | text-generation | 2024-07-15T23:03:24Z | # SmolLM-1.7B-Instruct
<center>
<img src="https://huggingface.co/datasets/HuggingFaceTB/images/resolve/main/banner_smol.png" alt="SmolLM" width="1100" height="600">
</center>
## Model Summary
SmolLM is a series of small language models available in three sizes: 135M, 360M, and 1.7B parameters.
These models ar... | [] |
PixArt-alpha/PixArt-Sigma-XL-2-1024-MS | PixArt-alpha | 2024-05-04T12:52:44Z | 46,824 | 99 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"PixArt-Σ",
"arxiv:2403.04692",
"arxiv:2310.00426",
"arxiv:2112.10752",
"arxiv:2309.05019",
"license:openrail++",
"diffusers:PixArtSigmaPipeline",
"region:us"
] | text-to-image | 2024-04-11T09:51:38Z | <p align="center">
<img src="asset/logo-sigma.png" height=120>
</p>
<div style="display:flex;justify-content: center">
<a href="https://huggingface.co/spaces/PixArt-alpha/PixArt-Sigma"><img src="https://img.shields.io/static/v1?label=Demo&message=Huggingface&color=yellow"></a>  
<a href="https://pixart-alp... | [] |
bartowski/SicariusSicariiStuff_Assistant_Pepe_70B-GGUF | bartowski | 2026-04-02T22:25:38Z | 3,757 | 2 | null | [
"gguf",
"text-generation",
"en",
"dataset:SicariusSicariiStuff/UBW_Tapestries",
"base_model:SicariusSicariiStuff/Assistant_Pepe_70B",
"base_model:quantized:SicariusSicariiStuff/Assistant_Pepe_70B",
"license:llama3.1",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-04-01T15:33:12Z | ## Llamacpp imatrix Quantizations of Assistant_Pepe_70B by SicariusSicariiStuff
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b8586">b8586</a> for quantization.
Original model: https://huggingface.co/SicariusSicariiStuff/Assist... | [] |
Skywork/Skywork-Reward-Gemma-2-27B-v0.2 | Skywork | 2024-10-25T01:22:36Z | 1,359 | 34 | transformers | [
"transformers",
"safetensors",
"gemma2",
"text-classification",
"dataset:Skywork/Skywork-Reward-Preference-80K-v0.2",
"arxiv:2410.18451",
"base_model:google/gemma-2-27b-it",
"base_model:finetune:google/gemma-2-27b-it",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-classification | 2024-10-14T20:13:01Z | <div align="center">
<img src="misc/fig.jpg" width="400"/>
🤗 <a href="https://huggingface.co/Skywork" target="_blank">Hugging Face</a> • 🤖 <a href="https://modelscope.cn/organization/Skywork" target="_blank">ModelScope</a>
<br>
<br>
<br>
</div>
# Skywork Reward Model Series
> IMPORTANT:
> This model was trained usi... | [
{
"start": 761,
"end": 772,
"text": "RewardBench",
"label": "benchmark name",
"score": 0.7893948554992676
},
{
"start": 1148,
"end": 1159,
"text": "RewardBench",
"label": "benchmark name",
"score": 0.8486312627792358
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{
"start": 1201,
"end": 1213,
"text"... |
BAAI/AquilaChat2-7B | BAAI | 2024-08-15T07:24:12Z | 19,834 | 17 | transformers | [
"transformers",
"pytorch",
"aquila",
"text-generation",
"custom_code",
"arxiv:2408.07410",
"license:other",
"region:us"
] | text-generation | 2023-10-10T02:02:49Z | 
<h4 align="center">
<p>
<b>English</b> |
<a href="https://huggingface.co/BAAI/AquilaChat2-7B/blob/main/README_zh.md">简体中文</a>
</p>
</h4>
We opensource our **Aquila2** series, now including **Aquila2**, the base language models, namely **Aquila2-7B** and **Aquila2-... | [] |
mradermacher/Crimson-Constellation-12B-heretic-GGUF | mradermacher | 2026-03-10T05:36:31Z | 1,040 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Sorihon/Crimson-Constellation-12B-heretic",
"base_model:quantized:Sorihon/Crimson-Constellation-12B-heretic",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-10T02:45:37Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 530,
"end": 568,
"text": "Crimson-Constellation-12B-heretic-GGUF",
"label": "benchmark name",
"score": 0.652881383895874
},
{
"start": 652,
"end": 693,
"text": "Crimson-Constellation-12B-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.6093180179595947
... |
unsloth/DeepSeek-V3.1-Terminus | unsloth | 2025-09-22T22:16:31Z | 1,213 | 4 | transformers | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"conversational",
"custom_code",
"arxiv:2412.19437",
"base_model:deepseek-ai/DeepSeek-V3.1-Terminus",
"base_model:quantized:deepseek-ai/DeepSeek-V3.1-Terminus",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
... | text-generation | 2025-09-22T14:03:03Z | # DeepSeek-V3.1-Terminus
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div a... | [] |
nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-FP8 | nvidia | 2026-03-15T04:25:00Z | 1,388,109 | 324 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"nvidia",
"pytorch",
"conversational",
"custom_code",
"en",
"es",
"fr",
"de",
"ja",
"it",
"dataset:nvidia/Nemotron-Pretraining-Code-v1",
"dataset:nvidia/Nemotron-CC-v2",
"dataset:nvidia/Nemotron-Pretraining-SFT-v1",
"d... | text-generation | 2025-12-06T06:00:45Z | # NVIDIA-Nemotron-3-Nano-30B-A3B-FP8
<div align="center" style="line-height: 1;">
<a href="https://build.nvidia.com/nvidia/nemotron-3-nano-30b-a3b" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/🤖Chat-Nemotron_3_Nano-536af5?color=76B900&logoColor=white" style="display: inl... | [] |
mradermacher/Nemo-Instruct-2407-MPOA-v4-12B-i1-GGUF | mradermacher | 2025-12-11T00:53:29Z | 142 | 1 | transformers | [
"transformers",
"gguf",
"en",
"fr",
"de",
"es",
"it",
"pt",
"ru",
"zh",
"ja",
"base_model:grimjim/Nemo-Instruct-2407-MPOA-v4-12B",
"base_model:quantized:grimjim/Nemo-Instruct-2407-MPOA-v4-12B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-10T23:16:37Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/GUI-G2-3B-GGUF | mradermacher | 2025-08-16T21:32:56Z | 138 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:inclusionAI/GUI-G2-3B",
"base_model:quantized:inclusionAI/GUI-G2-3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-16T20:00:42Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static qu... | [] |
mradermacher/Falcon-H1-Tiny-Multilingual-100M-Instruct-GGUF | mradermacher | 2026-01-16T01:09:43Z | 224 | 2 | transformers | [
"transformers",
"gguf",
"falcon-h1",
"edge",
"en",
"base_model:tiiuae/Falcon-H1-Tiny-Multilingual-100M-Instruct",
"base_model:quantized:tiiuae/Falcon-H1-Tiny-Multilingual-100M-Instruct",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-16T01:08:38Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
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static q... | [] |
huihui-ai/Huihui-Qwen3-Coder-Next-abliterated | huihui-ai | 2026-02-09T02:08:29Z | 1,945 | 42 | transformers | [
"transformers",
"safetensors",
"qwen3_next",
"text-generation",
"abliterated",
"uncensored",
"conversational",
"base_model:Qwen/Qwen3-Coder-Next",
"base_model:finetune:Qwen/Qwen3-Coder-Next",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-07T15:53:20Z | # huihui-ai/Huihui-Qwen3-Coder-Next-abliterated
This is an uncensored version of [Qwen/Qwen3-Coder-Next](https://huggingface.co/Qwen/Qwen3-Coder-Next) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
This is a cr... | [] |
microsoft/Phi-3-mini-4k-instruct-gguf | microsoft | 2025-12-10T20:22:37Z | 56,607 | 568 | null | [
"gguf",
"nlp",
"code",
"text-generation",
"en",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-04-22T17:02:08Z | ## Model Summary
This repo provides the GGUF format for the Phi-3-Mini-4K-Instruct.
The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality... | [] |
unsloth/granite-4.0-h-small-bnb-4bit | unsloth | 2025-10-01T13:44:08Z | 191 | 2 | transformers | [
"transformers",
"safetensors",
"granitemoehybrid",
"text-generation",
"language",
"unsloth",
"granite-4.0",
"conversational",
"arxiv:0000.00000",
"base_model:ibm-granite/granite-4.0-h-small",
"base_model:quantized:ibm-granite/granite-4.0-h-small",
"license:apache-2.0",
"endpoints_compatible"... | text-generation | 2025-10-01T13:43:36Z | <div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
<div style="display: flex; gap: 5px; align-items: center; ">
<a href="https://github.com/u... | [] |
MoritzLaurer/bge-m3-zeroshot-v2.0 | MoritzLaurer | 2024-04-22T11:09:02Z | 54,306 | 61 | transformers | [
"transformers",
"onnx",
"safetensors",
"xlm-roberta",
"text-classification",
"zero-shot-classification",
"multilingual",
"arxiv:2312.17543",
"base_model:BAAI/bge-m3-retromae",
"base_model:quantized:BAAI/bge-m3-retromae",
"license:mit",
"endpoints_compatible",
"region:us"
] | zero-shot-classification | 2024-04-02T09:31:59Z | # Model description: bge-m3-zeroshot-v2.0
## zeroshot-v2.0 series of models
Models in this series are designed for efficient zeroshot classification with the Hugging Face pipeline.
These models can do classification without training data and run on both GPUs and CPUs.
An overview of the latest zeroshot classifiers ... | [] |
mradermacher/atom-astronomy-7b-GGUF | mradermacher | 2026-02-04T07:55:10Z | 250 | 3 | transformers | [
"transformers",
"gguf",
"astronomy",
"astrophysics",
"physics",
"science",
"research",
"cognitive-architectures",
"education",
"lora",
"OLMo",
"conversational",
"conversational-ai",
"chat",
"collaborative-ai",
"vanta-research",
"text-generation",
"LLM",
"STEM",
"olmo3",
"olmo... | text-generation | 2025-11-26T23:49:09Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
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