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 |
|---|---|---|---|---|---|---|---|---|---|---|
andrevp/Qwen3.5-9B-Distilled-OPUS-Heretic-MLX-VLM-8bit | andrevp | 2026-03-12T07:12:34Z | 320 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"mlx-vlm",
"qwen3.5",
"heretic",
"uncensored",
"abliterated",
"multimodal",
"vision",
"image-text-to-text",
"conversational",
"base_model:Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled",
"base_model:quantized:Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Rea... | image-text-to-text | 2026-03-12T06:27:25Z | # Qwen3.5-9B Distilled OPUS Heretic - MLX-VLM 8bit
8-bit quantized MLX-VLM conversion of an abliterated Qwen3.5-9B model distilled from Claude Opus 4.6 reasoning, optimized for Apple Silicon.
**Size:** ~9.8 GB | **Bits/weight:** 8.864 | **Quality:** Good balance of quality and size
## Background
This model starts f... | [] |
nvidia/AceInstruct-72B | nvidia | 2025-01-16T14:20:37Z | 885 | 18 | null | [
"safetensors",
"qwen2",
"nvidia",
"AceInstruct",
"code",
"math",
"general_domain",
"instruct_model",
"pytorch",
"text-generation",
"conversational",
"en",
"arxiv:2412.15084",
"license:cc-by-nc-4.0",
"region:us"
] | text-generation | 2025-01-15T16:19:55Z | ## Introduction
We introduce AceInstruct, a family of advanced SFT models for coding, mathematics, and general-purpose tasks. The AceInstruct family, which includes AceInstruct-1.5B, 7B, and 72B, is <b>Improved using Qwen</b>.
These models are fine-tuned on Qwen2.5-Base using [general SFT datasets](https://huggingface.... | [] |
linoyts/beyond-reality-z-image-diffusers | linoyts | 2025-12-24T16:22:01Z | 128 | 4 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"z-image",
"base_model:Tongyi-MAI/Z-Image-Turbo",
"base_model:finetune:Tongyi-MAI/Z-Image-Turbo",
"license:apache-2.0",
"region:us"
] | text-to-image | 2025-12-24T15:26:40Z | # beyond-reality-z-image-diffusers
This is a converted version of the Beyond Reality Z-Image transformer, converted to diffusers format for use with the `ZImagePipeline`.
## Model Description
This transformer is based on [Beyond Reality Z-Image](https://huggingface.co/Nurburgring/BEYOND_REALITY_Z_IMAGE), converted f... | [] |
h94/IP-Adapter-FaceID | h94 | 2024-04-16T08:53:12Z | 213,973 | 1,829 | diffusers | [
"diffusers",
"text-to-image",
"stable-diffusion",
"en",
"arxiv:2308.06721",
"region:us"
] | text-to-image | 2023-12-20T03:15:30Z | # IP-Adapter-FaceID Model Card
<div align="center">
[**Project Page**](https://ip-adapter.github.io) **|** [**Paper (ArXiv)**](https://arxiv.org/abs/2308.06721) **|** [**Code**](https://github.com/tencent-ailab/IP-Adapter)
</div>
---
## Introduction
An experimental version of IP-Adapter-FaceID: we use face ID e... | [] |
inclusionAI/Ling-mini-2.0 | inclusionAI | 2026-04-13T11:40:51Z | 16,735 | 191 | transformers | [
"transformers",
"safetensors",
"bailing_moe",
"text-generation",
"conversational",
"custom_code",
"arxiv:2507.17702",
"base_model:inclusionAI/Ling-mini-base-2.0",
"base_model:finetune:inclusionAI/Ling-mini-base-2.0",
"license:mit",
"region:us"
] | text-generation | 2025-09-08T13:43:44Z | <p align="center">
<img src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*4QxcQrBlTiAAAAAAQXAAAAgAemJ7AQ/original" width="100"/>
<p>
<p align="center">🤗 <a href="https://huggingface.co/inclusionAI">Hugging Face</a>   |   🤖 <a href="https://modelscope.cn/organization/inclusionAI">ModelSco... | [
{
"start": 1457,
"end": 1470,
"text": "LiveCodeBench",
"label": "benchmark name",
"score": 0.7116823196411133
},
{
"start": 1472,
"end": 1482,
"text": "CodeForces",
"label": "benchmark name",
"score": 0.6476438045501709
},
{
"start": 1501,
"end": 1510,
"te... |
mradermacher/Qwen1.5-4B-Chat-heretic-GGUF | mradermacher | 2026-01-14T08:51:50Z | 151 | 2 | transformers | [
"transformers",
"gguf",
"chat",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:addansee/Qwen1.5-4B-Chat-heretic",
"base_model:quantized:addansee/Qwen1.5-4B-Chat-heretic",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-14T04:37:56Z | ## 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": 521,
"end": 549,
"text": "Qwen1.5-4B-Chat-heretic-GGUF",
"label": "benchmark name",
"score": 0.6760786175727844
},
{
"start": 633,
"end": 664,
"text": "Qwen1.5-4B-Chat-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.6160004734992981
}
] |
abhinand/MedEmbed-large-v0.1 | abhinand | 2025-06-07T12:59:30Z | 36,881 | 35 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"bert",
"medembed",
"medical-embedding",
"clinical-embedding",
"information-retrieval",
"mteb",
"en",
"dataset:MedicalQARetrieval",
"dataset:NFCorpus",
"dataset:PublicHealthQA",
"dataset:TRECCOVID",
"dataset:ArguAna",
"base_model:BAAI/bge-large-en-... | null | 2024-10-20T11:43:03Z | # MedEmbed: Specialized Embedding Model for Medical and Clinical Information Retrieval
## Model Description
MedEmbed is a family of embedding models fine-tuned specifically for medical and cl... | [
{
"start": 1780,
"end": 1787,
"text": "ArguAna",
"label": "benchmark name",
"score": 0.7559502720832825
},
{
"start": 1790,
"end": 1808,
"text": "MedicalQARetrieval",
"label": "benchmark name",
"score": 0.624156653881073
},
{
"start": 1811,
"end": 1819,
"t... |
yonigozlan/sam3-litetext-s0 | yonigozlan | 2026-04-21T15:17:11Z | 1,752 | 13 | transformers | [
"transformers",
"safetensors",
"sam3_lite_text",
"feature-extraction",
"mask-generation",
"arxiv:2602.12173",
"arxiv:2311.17049",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | mask-generation | 2026-03-26T19:59:11Z | # SAM3-LiteText
## Overview
SAM3-LiteText was proposed in [SAM3-LiteText: An Anatomical Study of the SAM3 Text Encoder for Efficient Vision-Language Segmentation](https://huggingface.co/papers/2602.12173) by Chengxi Zeng, Yuxuan Jiang, Ge Gao, Shuai Wang, Duolikun Danier, Bin Zhu, Stevan Rudinac, David Bull, and Fan ... | [] |
zerofata/MS3.2-PaintedFantasy-v4.1-24B-GGUF | zerofata | 2026-02-19T09:23:57Z | 1,485 | 4 | null | [
"gguf",
"base_model:zerofata/MS3.2-PaintedFantasy-v4.1-24B",
"base_model:quantized:zerofata/MS3.2-PaintedFantasy-v4.1-24B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-17T04:38:18Z | <style>
.container {
--primary-accent: #6BC5FF;
--secondary-accent: #8FD4FF;
--tertiary-accent: #4AB8FF;
--warm-accent: #B4E3FF;
--rose-accent: #9BD9FF;
--glow-primary: rgba(107, 197, 255, 0.6);
--glow-secondary: rgba(143, 212, 255, 0.7);
--bg-main: #0A1220;
--bg-container: #0F1828;
--bg-card: rg... | [] |
open-thoughts/OpenThinker-32B | open-thoughts | 2025-06-05T16:22:55Z | 104 | 175 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"dataset:open-thoughts/open-thoughts-114k",
"arxiv:2506.04178",
"base_model:Qwen/Qwen2.5-32B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-32B-Instruct",
"license:ap... | text-generation | 2025-02-12T16:29:31Z | <p align="center">
<img src="https://huggingface.co/datasets/open-thoughts/open-thoughts-114k/resolve/main/open_thoughts.png" width="50%">
</p>
> [!NOTE]
> We have released a paper for OpenThoughts! See our paper [here](https://arxiv.org/abs/2506.04178).
# OpenThinker-32B
This model is a fine-tuned version of [Q... | [] |
Nikity/lille-130m-instruct | Nikity | 2025-09-04T13:16:01Z | 246 | 109 | null | [
"onnx",
"safetensors",
"gguf",
"lille-130m",
"text-generation",
"conversational",
"en",
"dataset:Nikity/Kyoto-Corpus",
"base_model:Nikity/lille-130m-base",
"base_model:finetune:Nikity/lille-130m-base",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-31T11:56:20Z | # Lille 130M Instruct
> **You are currently viewing the `lille-130m-instruct` model card.**
>
> View the base model here: **[Nikity/lille-130m-base](https://huggingface.co/Nikity/lille-130m-base)**
## Table of Contents
1. [Model Summary](#-model-summary)
2. [Evaluation](#-eva... | [] |
Verdugie/STEM-Oracle-27B | Verdugie | 2026-03-21T20:55:56Z | 962 | 2 | transformers | [
"transformers",
"gguf",
"qwen3_5_text",
"text-generation",
"conversational",
"stem",
"tutor",
"math",
"physics",
"chemistry",
"biology",
"computer-science",
"claude-distillation",
"opus",
"density-optimized",
"27b-dense",
"en",
"es",
"base_model:Qwen/Qwen3.5-27B",
"base_model:q... | text-generation | 2026-03-10T23:09:04Z | # or·a·cle
/ˈôrəkəl/ — a source of wise counsel; one who provides authoritative knowledge.
*From Latin ōrāculum, meaning divine announcement. In computer science, an oracle is a black box that always returns the correct answer — you don't ask it how it knows, you ask and it answers. An oracle model doesn't search for r... | [
{
"start": 832,
"end": 844,
"text": "Zipf scoring",
"label": "evaluation metric",
"score": 0.8517977595329285
}
] |
nvidia/Qwen3-14B-FP8 | nvidia | 2025-09-09T21:16:14Z | 14,249 | 4 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"qwen3",
"nvidia",
"ModelOpt",
"Qwen3",
"quantized",
"FP8",
"fp8",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3-14B",
"base_model:quantized:Qwen/Qwen3-14B",
"license:apache-2.0",
"modelopt",
"region:us"
] | text-generation | 2025-09-09T21:16:14Z | # Model Overview
## Description:
The NVIDIA Qwen3-14B FP8 model is the quantized version of Alibaba's Qwen3-14B model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/Qwen/Qwen3-14B). The NVIDIA Qwen3-14B FP8 m... | [] |
keremberke/yolov8n-blood-cell-detection | keremberke | 2023-02-22T13:03:12Z | 611 | 3 | ultralytics | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"awesome-yolov8-models",
"dataset:keremberke/blood-cell-object-detection",
"model-index",
"region:us"
] | object-detection | 2023-01-29T05:06:49Z | ---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
- awesome-yolov8-models
library_name: ultralytics
library_version: 8.0.21
inference: false
datasets:
- keremberke/blood-cell-object-detection
model-index:
- name: keremberke/yolov8n-blood-cell-detection
results:
- task... | [] |
foduucom/stockmarket-pattern-detection-yolov8 | foduucom | 2025-04-02T10:42:40Z | 12,523 | 397 | ultralytics | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"finance",
"stock market",
"candlesticks",
"pattern recognition",
"option trading",
"chart reader",
"en",
"model-index",
"region:us"
] | object-detection | 2023-08-10T14:13:24Z | <div align="center">
<img width="500" alt="foduucom/stockmarket-pattern-detection-yolov8" src="https://huggingface.co/foduucom/stockmarket-pattern-detection-yolov8/resolve/main/thumbnail.jpg">
</div>
# Model Card for YOLOv8s Stock Market Real Time Pattern Detection from Live Screen Capture
## Model Summary
The YOL... | [] |
mradermacher/Qwen2.5-Coder-14B-Instruct-Uncensored-GGUF | mradermacher | 2025-02-02T00:52:39Z | 399 | 4 | transformers | [
"transformers",
"gguf",
"en",
"base_model:BlossomsAI/Qwen2.5-Coder-14B-Instruct-Uncensored",
"base_model:quantized:BlossomsAI/Qwen2.5-Coder-14B-Instruct-Uncensored",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-01-30T23:16:30Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
static quants of https://huggingface.co/BlossomsAI/Qwen2.5-Coder-14B-Instruct-Uncensored
<!-- provided-files -->
## Usage
If you are unsure how to use ... | [] |
mradermacher/UnifiedReward-2.0-qwen-7b-i1-GGUF | mradermacher | 2025-12-28T20:23:17Z | 107 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:CodeGoat24/HPD",
"dataset:CodeGoat24/LiFT-HRA",
"dataset:CodeGoat24/OIP",
"dataset:CodeGoat24/EvalMuse",
"dataset:CodeGoat24/ShareGPTVideo-DPO",
"dataset:CodeGoat24/VideoFeedback",
"dataset:CodeGoat24/LLaVA-Critic-113k",
"dataset:CodeGoat24/VideoDPO",
"ba... | null | 2025-09-04T01:36:34Z | ## 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... | [
{
"start": 627,
"end": 660,
"text": "UnifiedReward-2.0-qwen-7b-i1-GGUF",
"label": "benchmark name",
"score": 0.7132661938667297
}
] |
mradermacher/llama_3_Base_adult-GGUF | mradermacher | 2024-11-20T02:12:44Z | 140 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"sft",
"en",
"base_model:MinaMila/llama_3_Base_adult",
"base_model:quantized:MinaMila/llama_3_Base_adult",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-11-20T01:55:24Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/MinaMila/llama_3_Base_adult
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this tim... | [] |
cartesia/azzurra-voice | cartesia | 2026-02-12T16:14:25Z | 2,456 | 14 | transformers | [
"transformers",
"safetensors",
"gguf",
"csm",
"text-to-audio",
"text-to-speech",
"it",
"base_model:sesame/csm-1b",
"base_model:quantized:sesame/csm-1b",
"license:cc",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2025-08-19T09:04:36Z | # azzurra-voice 🇮🇹
`azzurra-voice` is a state-of-the-art, highly expressive text-to-speech (TTS) model for the Italian language, developed by [Cartesia](https://cartesia.one/).
Check out some audio samples in our [blog post](https://blog.cartesia.one/posts/introducing-azzurra-voice/).
This model is the first relea... | [] |
wikeeyang/Magic-Wan-Image-v1.0 | wikeeyang | 2025-09-25T00:35:57Z | 102 | 32 | diffusers | [
"diffusers",
"text-to-image",
"zh",
"en",
"base_model:Wan-AI/Wan2.2-T2V-A14B",
"base_model:finetune:Wan-AI/Wan2.2-T2V-A14B",
"license:apache-2.0",
"region:us"
] | text-to-image | 2025-09-05T02:12:41Z | ## Magic-Wan-Image V1.0
本模型是一个实验模型，是 Wan2.2-T2V-14B 文生视频模型的混调版本，目的是能让广大 Wan 2.2 模型的爱好者，能像使用 Flux 一样，简单方便的使用 Wan2.2 T2V 模型来生成各种图片。Wan 2.2 模型擅长写实类图像的生成，同时兼顾多种风格，由于是视频模型演化而来，模型在生图能力的泛化性方面稍微弱一点。本模型最大的兼顾了模型的写实能力和风格变化，同时尽可能的体现更多的细节，基本上达到与 Flux.1-Dev 模型相当的创作力和表现力。模型的混调方法是将 Wan2.2-T2V-14B 模型的 High-Noise 和 Low-Noise 两部分分层进行不同权... | [] |
mradermacher/Qwopus3.5-4B-v3-i1-GGUF | mradermacher | 2026-04-18T10:50:04Z | 4,037 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"qwen",
"qwen3.5",
"reasoning",
"chain-of-thought",
"lora",
"competitive-programming",
"en",
"zh",
"ko",
"base_model:Jackrong/Qwopus3.5-4B-v3",
"base_model:adapter:Jackrong/Qwopus3.5-4B-v3",
"license:apache-2.0",
"endpoints_compatible",
"region:us",... | null | 2026-04-06T06:53:35Z | ## 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": 616,
"end": 639,
"text": "Qwopus3.5-4B-v3-i1-GGUF",
"label": "benchmark name",
"score": 0.6474615931510925
}
] |
moondream/moondream-2b-2025-04-14-4bit | moondream | 2025-05-22T00:16:27Z | 10,458 | 67 | null | [
"safetensors",
"gguf",
"moondream1",
"image-text-to-text",
"custom_code",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-05-20T13:23:38Z | Moondream is a small vision language model designed to run efficiently everywhere.
[Website](https://moondream.ai/) / [Demo](https://moondream.ai/playground) / [GitHub](https://github.com/vikhyat/moondream)
This repository contains the 2025-04-14 **4-bit** release of Moondream. On an Nvidia RTX 3090, it uses 2,450 M... | [] |
mradermacher/Tiger-Gemma-9B-v1-GGUF | mradermacher | 2024-07-13T03:04:22Z | 276 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:TheDrummer/Tiger-Gemma-9B-v1",
"base_model:quantized:TheDrummer/Tiger-Gemma-9B-v1",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-07-13T02:34:04Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/TheDrummer/Tiger-Gemma-9B-v1
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mra... | [] |
michiyasunaga/BioLinkBERT-large | michiyasunaga | 2022-03-31T00:54:57Z | 7,092 | 45 | transformers | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"exbert",
"linkbert",
"biolinkbert",
"fill-mask",
"question-answering",
"text-classification",
"token-classification",
"en",
"dataset:pubmed",
"arxiv:2203.15827",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_co... | text-classification | 2022-03-08T06:20:38Z | ## BioLinkBERT-large
BioLinkBERT-large model pretrained on [PubMed](https://pubmed.ncbi.nlm.nih.gov/) abstracts along with citation link information. It is introduced in the paper [LinkBERT: Pretraining Language Models with Document Links (ACL 2022)](https://arxiv.org/abs/2203.15827). The code and data are available... | [
{
"start": 484,
"end": 489,
"text": "BLURB",
"label": "benchmark name",
"score": 0.8038014769554138
},
{
"start": 519,
"end": 524,
"text": "BLURB",
"label": "benchmark name",
"score": 0.6188671588897705
},
{
"start": 532,
"end": 543,
"text": "MedQA-USMLE",... |
second-state/StarCoder2-7B-GGUF | second-state | 2024-03-20T08:12:57Z | 2,620 | 20 | transformers | [
"transformers",
"gguf",
"starcoder2",
"text-generation",
"code",
"base_model:bigcode/starcoder2-7b",
"base_model:quantized:bigcode/starcoder2-7b",
"license:bigcode-openrail-m",
"region:us"
] | text-generation | 2024-03-02T07:35:41Z | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header ... | [] |
LuffyTheFox/Qwen3-4B-2507-Instruct-HauhauCS-Kullback-Leibler | LuffyTheFox | 2026-03-23T07:35:02Z | 141 | 2 | null | [
"gguf",
"uncensored",
"qwen3",
"en",
"zh",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-23T06:20:53Z | # Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive
Qwen3 4B 2507 Instruct uncensored by HauhauCS.
# With [Kullback-Leibler](https://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence) and [Decision_Tree](https://en.wikipedia.org/wiki/Information_gain_(decision_tree)) fix for 29 tensors in internal GGUF st... | [] |
lmstudio-community/Qwen3-4B-Instruct-2507-GGUF | lmstudio-community | 2025-08-06T15:39:11Z | 11,915 | 13 | null | [
"gguf",
"text-generation",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-08-06T14:35:28Z | ## 💫 Community Model> Qwen3 4B Instruct 2507 by Qwen
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator:** [Qwen](https://huggingface.co/Qwen)<br>
**Origin... | [] |
itlwas/Dolphin3.0-Llama3.1-8B-Q4_K_M-GGUF | itlwas | 2025-01-05T17:02:59Z | 396 | 2 | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:OpenCoder-LLM/opc-sft-stage1",
"dataset:OpenCoder-LLM/opc-sft-stage2",
"dataset:microsoft/orca-agentinstruct-1M-v1",
"dataset:microsoft/orca-math-word-problems-200k",
"dataset:NousResearch/hermes-function-calling-v1",
"dataset:AI-MO/NuminaMath-Co... | null | 2025-01-05T17:02:37Z | # itlwas/Dolphin3.0-Llama3.1-8B-Q4_K_M-GGUF
This model was converted to GGUF format from [`cognitivecomputations/Dolphin3.0-Llama3.1-8B`](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.1-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refe... | [] |
McGill-NLP/AfriqueQwen-8B | McGill-NLP | 2026-04-20T06:53:17Z | 908 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"african-languages",
"multilingual",
"continued-pretraining",
"afrique-llm",
"qwen",
"llamafactory",
"conversational",
"af",
"am",
"ar",
"en",
"fr",
"ha",
"ig",
"mg",
"ny",
"om",
"pt",
"rw",
"sn",
"so",
"st"... | text-generation | 2026-01-07T00:05:50Z | # AfriqueQwen-8B
## Model Overview
**AfriqueQwen-8B** is part of the **AfriqueLLM** suite—a collection of open language models adapted to **20 African languages** through continued pre-training (CPT) on **~26B tokens**. This model is based on [Qwen/Qwen3-8B-Base](https://huggingface.co/Qwen/Qwen3-8B-Base) and has bee... | [] |
QuantFactory/Qwen2.5-14B-Instruct-GGUF | QuantFactory | 2024-09-19T16:16:42Z | 350 | 3 | null | [
"gguf",
"chat",
"text-generation",
"en",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-14B",
"base_model:quantized:Qwen/Qwen2.5-14B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-09-19T12:00:05Z | ---
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-14B-Instruct/blob/main/LICENSE
language:
- en
pipeline_tag: text-generation
base_model: Qwen/Qwen2.5-14B
tags:
- chat
---
[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc... | [] |
unsloth/gemma-3-1b-it | unsloth | 2025-05-12T07:51:27Z | 22,166 | 22 | transformers | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"unsloth",
"gemma3",
"gemma",
"google",
"conversational",
"en",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.0... | text-generation | 2025-03-12T07:08:32Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/gemma-3-67d12b7e8816ec6efa7e4e5b">our collection</a> for all versions of Gemma 3 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em><a href="https://docs.... | [] |
jordand/whisper-d-v1a | jordand | 2024-11-01T21:15:20Z | 614 | 47 | null | [
"pytorch",
"whisper",
"license:mit",
"region:us"
] | null | 2024-10-24T23:02:03Z | # WhisperD
WhisperD is a fine-tuned version of whisper-large-v2 that is able to transcribe multi-speaker, conversational speech. It was used to generate synthetic transcriptions for training [Parakeet](https://jordandarefsky.com/blog/2024/parakeet/). Diarization is performed implicitly by the model, where "[S1]", "[S2... | [] |
sensenova/SenseNova-SI-1.1-Qwen2.5-VL-7B | sensenova | 2025-12-09T10:24:39Z | 904 | 4 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"conversational",
"arxiv:2511.13719",
"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_compatible",
"region:us"
] | image-text-to-text | 2025-12-06T08:12:09Z | **EN** | [中文](README_CN.md)
# SenseNova-SI: Scaling Spatial Intelligence with Multimodal Foundation Models
<a href="https://github.com/OpenSenseNova/SenseNova-SI" target="_blank">
<img alt="Code" src="https://img.shields.io/badge/SenseNova_SI-Code-100000?style=flat-square&logo=github&logoColor=white" height="20"... | [] |
wangzhang/gpt-oss-20b-abliterated | wangzhang | 2026-04-20T14:58:02Z | 378 | 3 | transformers | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"abliterated",
"uncensored",
"moe",
"gpt-oss",
"mxfp4",
"direct-steering",
"ega",
"moe-router-suppression",
"abliterix",
"conversational",
"en",
"zh",
"base_model:openai/gpt-oss-20b",
"base_model:finetune:openai/gpt-oss-2... | text-generation | 2026-04-10T09:30:20Z | # gpt-oss-20b-abliterated
A refusal-suppressed variant of [openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b), produced with [abliterix](https://github.com/wuwangzhang1216/abliterix) using **direct weight editing**, **Expert-Granular Abliteration (EGA)** on the fused MoE expert weights, **and** **MoE route... | [] |
mradermacher/ASID-Captioner-7B-GGUF | mradermacher | 2026-02-27T12:19:24Z | 272 | 1 | transformers | [
"transformers",
"gguf",
"video-captioning",
"audiovisual",
"qwen2.5-omni",
"instruction-tuning",
"attribute-structured",
"quality-verified",
"en",
"base_model:AudioVisual-Caption/ASID-Captioner-7B",
"base_model:quantized:AudioVisual-Caption/ASID-Captioner-7B",
"license:apache-2.0",
"endpoint... | null | 2026-02-15T08:00:23Z | ## 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... | [] |
allenai/MolmoWeb-4B-Native | allenai | 2026-04-10T20:50:29Z | 112 | 8 | transformers | [
"transformers",
"multimodal",
"olmo",
"molmo",
"molmo2",
"image-text-to-text",
"en",
"dataset:allenai/MolmoWeb-SyntheticTraj",
"dataset:allenai/MolmoWeb-HumanTrajs",
"dataset:allenai/MolmoWeb-HumanSkills",
"dataset:allenai/MolmoWeb-SyntheticSkills",
"dataset:allenai/MolmoWeb-SyntheticQA",
"d... | image-text-to-text | 2026-03-23T23:24:14Z | <img src="molmoweb_logo.png" alt="Logo for the MolmoWeb Project" style="width: auto; height: 50px;">
# MolmoWeb-4B-Native
**Note** that this is the molmo-native checkpoint, and it's NOT Huggingface/transformers-compatible. Check out [allenai/MolmoWeb-4B](https://huggingface.co/allenai/MolmoWeb-4B) for HF-compatible ... | [] |
dealignai/Qwen3.5-397B-A17B-4bit-MLX-REAP-CRACK | dealignai | 2026-03-07T19:23:21Z | 687 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"abliterated",
"uncensored",
"qwen3",
"moe",
"text-generation",
"conversational",
"en",
"base_model:Qwen/Qwen3.5-397B-A17B",
"base_model:quantized:Qwen/Qwen3.5-397B-A17B",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2026-02-27T04:35:50Z | <!-- vmlx-banner -->
<div align="center">
<a href="https://vmlx.net">
<img src="vmlx-banner.png" width="240" />
<br/>
<strong>Built for vMLX</strong> — the only MLX inferencer with VL support, KV cache quantization, prefix cache reuse, agentic tool calling, and speculative decoding.
<br/>
<sub>Free for macOS · <strong>... | [] |
Ligul/capri | Ligul | 2026-03-12T23:36:09Z | 124 | 1 | null | [
"safetensors",
"capri",
"image-captioning",
"multimodal",
"vision-language",
"qwen2",
"siglip",
"image-to-text",
"custom_code",
"en",
"dataset:merve/coco",
"arxiv:1405.0312",
"license:apache-2.0",
"region:us"
] | image-to-text | 2026-03-09T23:49:38Z | # Capri
Capri is a compact image captioning model designed for high-throughput, plain-language descriptions.
It supports two inference paths: direct image input or precomputed SigLIP2 pooled embeddings.
The project started from a practical pipeline constraint: existing captioning models were either too slow or too we... | [] |
QuantTrio/GLM-4.7-GPTQ-Int4-Int8Mix | QuantTrio | 2025-12-29T05:29:47Z | 138 | 4 | transformers | [
"transformers",
"safetensors",
"glm4_moe",
"text-generation",
"vLLM",
"GPTQ",
"conversational",
"arxiv:2508.06471",
"base_model:zai-org/GLM-4.7",
"base_model:quantized:zai-org/GLM-4.7",
"license:mit",
"endpoints_compatible",
"4-bit",
"gptq",
"region:us"
] | text-generation | 2025-12-25T05:32:34Z | # GLM-4.7-GPTQ-Int4-Int8Mix
Base model: [zai-org/GLM-4.7](https://huggingface.co/zai-org/GLM-4.7)
### 【Dependencies / Installation】
```python
vllm==0.14.0
```
As of **2025-12-24**, make sure your system has cuda12.8 installed.
Then, create a fresh Python environment (e.g. python3.12 venv) and run:
```bash
pip inst... | [] |
prithivMLmods/Qwen3-VL-4B-Instruct-abliterated-v1 | prithivMLmods | 2025-11-12T20:14:55Z | 1,606 | 21 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"trl",
"text-generation-inference",
"abliterated",
"v1.0",
"agent",
"conversational",
"en",
"base_model:Qwen/Qwen3-VL-4B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-4B-Instruct",
"license:apache-2.0",
"endpoints_compatibl... | image-text-to-text | 2025-10-15T07:14:12Z | 
# **Qwen3-VL-4B-Instruct-abliterated**
> **Qwen3-VL-4B-Instruct-abliterated** is an abliterated (v1.0) variant of Qwen3-VL-4B-Instruct, tailored for Abliterated Reasoning and Captioning. This model is desig... | [] |
TheStageAI/Elastic-FLUX.1-schnell | TheStageAI | 2026-04-14T10:25:33Z | 198 | 4 | null | [
"text-to-image",
"base_model:black-forest-labs/FLUX.1-schnell",
"base_model:quantized:black-forest-labs/FLUX.1-schnell",
"license:other",
"region:us"
] | text-to-image | 2025-04-08T18:07:13Z | # Elastic model: FLUX.1-schnell
## Overview
---
ElasticModels are the models produced by TheStage AI ANNA: Automated Neural Networks Accelerator. ANNA allows you to control model size, latency and quality with a simple slider movement, routing different compression algorithms to different layers. For each model, we... | [] |
brain-bzh/reve-positions | brain-bzh | 2026-02-04T13:59:15Z | 84,093 | 7 | transformers | [
"transformers",
"safetensors",
"reve-position-bank",
"feature-extraction",
"custom_code",
"arxiv:2510.21585",
"region:us"
] | feature-extraction | 2025-10-31T14:06:25Z | # Model Card for REVE Position Bank
Wrapper to provide electrode positions to use the [REVE EEG Foundation Model](https://brain-bzh.github.io/reve/).
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** the [BRAIN team](https://www.imt-atlantique.fr/e... | [] |
ibm-granite/granite-guardian-3.3-8b | ibm-granite | 2025-09-09T03:28:32Z | 7,936 | 31 | transformers | [
"transformers",
"safetensors",
"granite",
"text-generation",
"conversational",
"en",
"arxiv:2412.07724",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-06-03T18:51:41Z | # Granite Guardian 3.3 8B
**Model Summary:** Granite Guardian 3.3 8b is a specialized Granite 3.3 8B model designed to judge if the input prompts and the output responses of an LLM based system meet specified criteria. The model comes pre-baked with certain criteria including but not limited to: jailbreak attempts, p... | [
{
"start": 1496,
"end": 1512,
"text": "Granite Guardian",
"label": "benchmark name",
"score": 0.6173245906829834
}
] |
KRLabsOrg/verbatim-rag-modern-bert-v1 | KRLabsOrg | 2025-10-15T13:42:26Z | 244 | 14 | null | [
"safetensors",
"modernbert",
"text-classification",
"en",
"dataset:galileo-ai/ragbench",
"base_model:answerdotai/ModernBERT-base",
"base_model:finetune:answerdotai/ModernBERT-base",
"license:mit",
"region:us"
] | text-classification | 2025-07-12T14:19:23Z | # Verbatim RAG Extractor Model
This is a fine-tuned BERT-based model for extracting relevant text spans from documents in a Verbatim RAG system. The model performs sentence-level binary classification to identify which sentences in a document are relevant to answer a given question.
## Model Architecture
- **Base Mo... | [] |
pykale/bart-base-ocr | pykale | 2024-06-20T11:15:42Z | 123 | 1 | transformers | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-06-20T11:12:29Z | # BART-base-ocr
This model is released as part of the paper [Leveraging LLMs for Post-OCR Correction of Historical Newspapers](https://aclanthology.org/2024.lt4hala-1.14/) and designed to correct OCR text. [BART-base](https://huggingface.co/facebook/bart-base) is fine-tuned for post-OCR correction of historical English... | [] |
xinsir/controlnet-union-sdxl-1.0 | xinsir | 2024-07-30T09:01:56Z | 97,143 | 1,699 | diffusers | [
"diffusers",
"safetensors",
"Text-to-Image",
"ControlNet",
"Diffusers",
"Stable Diffusion",
"text-to-image",
"license:apache-2.0",
"region:us"
] | text-to-image | 2024-07-07T07:41:40Z | # **ControlNet++: All-in-one ControlNet for image generations and editing!**
## **ProMax Model has released!! 12 control + 5 advanced editing, just try it!!!**
## Network Arichitecture
## Advantages about the model
- Use bucket training lik... | [] |
mradermacher/Gemma-3-27b-it-Gemini-Deep-Reasoning-GGUF | mradermacher | 2026-01-16T10:56:20Z | 440 | 2 | transformers | [
"transformers",
"gguf",
"reasoning",
"thinking",
"gemma3",
"deep thinking",
"finetune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
... | null | 2026-01-16T07:45:31Z | ## 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... | [] |
biodatlab/distill-whisper-th-large-v3 | biodatlab | 2026-04-02T07:06:06Z | 1,447 | 6 | null | [
"safetensors",
"whisper",
"license:mit",
"region:us"
] | null | 2024-11-07T04:44:44Z | ## Distilled Large-V3 Whisper ASR Model for Thai
### Model Description
This is a fine-tuned distilled Automatic Speech Recognition (ASR) model, based on the Whisper Large Turbo V3 architecture. It has been specifically tailored for Thai language speech recognition and substantially improve the performance on Thai spee... | [] |
dboris/nemotron-asr-mlx | dboris | 2026-02-28T12:14:52Z | 190 | 1 | mlx | [
"mlx",
"safetensors",
"nemotron_asr",
"speech",
"asr",
"speech-recognition",
"streaming",
"apple-silicon",
"nemotron",
"nvidia",
"conformer",
"rnnt",
"cache-aware",
"automatic-speech-recognition",
"en",
"dataset:librispeech_asr",
"dataset:LIUM/tedlium",
"arxiv:2312.17279",
"licen... | automatic-speech-recognition | 2026-02-28T06:41:54Z | # Nemotron ASR MLX
**NVIDIA Nemotron ASR on Apple Silicon. 112x realtime. Pure MLX.**
Native [MLX](https://github.com/ml-explore/mlx) port of [NVIDIA's Nemotron-ASR 0.6B](https://huggingface.co/nvidia/nemotron-asr-speech-streaming-en-0.6b) — the cache-aware streaming conformer that processes each audio frame exactly ... | [
{
"start": 935,
"end": 955,
"text": "Open ASR Leaderboard",
"label": "benchmark name",
"score": 0.7036610245704651
}
] |
mradermacher/Qwen3-VL-4B-Thinking-Unredacted-MAX-i1-GGUF | mradermacher | 2026-02-16T10:53:41Z | 131 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"vllm",
"pytorch",
"bf16",
"max",
"en",
"base_model:prithivMLmods/Qwen3-VL-4B-Thinking-Unredacted-MAX",
"base_model:quantized:prithivMLmods/Qwen3-VL-4B-Thinking-Unredacted-MAX",
... | null | 2026-02-16T10:31:11Z | ## 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": 641,
"end": 684,
"text": "Qwen3-VL-4B-Thinking-Unredacted-MAX-i1-GGUF",
"label": "benchmark name",
"score": 0.6699336767196655
},
{
"start": 920,
"end": 960,
"text": "Qwen3-VL-4B-Thinking-Unredacted-MAX-GGUF",
"label": "benchmark name",
"score": 0.6011733412742... |
CorryL/piccolo_gorgone | CorryL | 2026-03-11T06:32:39Z | 1,500 | 2 | null | [
"gguf",
"cybersecurity",
"red-team",
"ctf",
"penetration-testing",
"offensive-security",
"uncensored",
"llama-cpp",
"en",
"it",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-04T09:42:49Z | <p align="center">
<img src="https://huggingface.co/CorryL/piccolo_gorgone/resolve/main/banner.PNG" alt="Piccolo Gorgone Banner"/>
</p>
# 🐙 Piccolo Gorgone
![Fine-tuning](https://img.shields.io/badge/Fine--tuned-Unsloth%20%2B%20QLo... | [] |
mradermacher/Playable1-i1-GGUF | mradermacher | 2025-12-08T06:40:44Z | 131 | 1 | transformers | [
"transformers",
"gguf",
"safetensors",
"text-generation",
"en",
"base_model:playable/Playable1",
"base_model:quantized:playable/Playable1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix"
] | text-generation | 2025-10-14T00:47:46Z | ## 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": 610,
"end": 627,
"text": "Playable1-i1-GGUF",
"label": "benchmark name",
"score": 0.6143473982810974
}
] |
AiArtLab/sdxs-1b | AiArtLab | 2026-04-29T18:32:29Z | 741 | 55 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"dataset:CaptionEmporium/midjourney-niji-1m-llavanext",
"license:other",
"region:us"
] | text-to-image | 2026-01-10T08:05:34Z | # Simple Diffusion XS (alpha version)
*XS Size, Excess Quality (not for now)*
Train status: 1xRTX4090 / we need more gold / [support us please..](https://huggingface.co/AiArtLab/sdxs-1b#donations)
<img src="media/gandr.jpg" height="256"/>
At AiArtLab, we strive to create a free, compact and fast model that can be ... | [] |
FutureLivingLab/iFlow-ROME | FutureLivingLab | 2026-02-12T04:32:46Z | 317 | 44 | null | [
"safetensors",
"qwen3_moe",
"agent",
"moe",
"text-generation",
"conversational",
"arxiv:2512.24873",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-12-30T02:39:41Z | # ROME-30B-A3B
<p align="left" style="display: flex; gap: 8px; align-items: center;">
<a href="https://arxiv.org/pdf/2512.24873" target="_blank">
<img src="https://img.shields.io/badge/Paper-arXiv%3A2512.24873-red" alt="Paper">
</a>
<a href="https://faithful-almanac-add.notion.site/The-Bitter-Lesson-Behind-B... | [] |
Mungert/gpt-oss-20b-heretic-GGUF | Mungert | 2025-11-18T18:47:12Z | 269 | 1 | transformers | [
"transformers",
"gguf",
"vllm",
"heretic",
"uncensored",
"decensored",
"abliterated",
"text-generation",
"arxiv:2508.10925",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-11-18T10:49:55Z | # <span style="color: #7FFF7F;">gpt-oss-20b-heretic GGUF Models</span>
## <span style="color: #7F7FFF;">Model Generation Details</span>
This model was generated using [llama.cpp](https://github.com/ggerganov/llama.cpp) at commit [`bc4064cfe`](https://github.com/ggerganov/llama.cpp/commit/bc4064cfea99e139f92bdefcead7... | [] |
bartowski/ByteDance-Seed_Seed-OSS-36B-Instruct-GGUF | bartowski | 2025-08-24T02:11:03Z | 419 | 8 | null | [
"gguf",
"text-generation",
"base_model:ByteDance-Seed/Seed-OSS-36B-Instruct",
"base_model:quantized:ByteDance-Seed/Seed-OSS-36B-Instruct",
"region:us"
] | text-generation | 2025-08-23T21:00:10Z | ## Llamacpp imatrix Quantizations of Seed-OSS-36B-Instruct by ByteDance-Seed
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/ByteDance-Seed/Seed-OSS-36B-In... | [] |
gabriellarson/Mamba-Codestral-7B-v0.1-GGUF | gabriellarson | 2025-07-03T11:41:59Z | 405 | 6 | null | [
"gguf",
"base_model:mistralai/Mamba-Codestral-7B-v0.1",
"base_model:quantized:mistralai/Mamba-Codestral-7B-v0.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-07-03T02:37:53Z | ## GGUF info:
Original model didn't include chat template, im using the flag --chat-template mistral
Will probably re-do the GGUF files here later
Original Readme:
# Model Card for Mamba-Codestral-7B-v0.1
Codestral Mamba is an open code model based on the Mamba2 architecture. It performs on par with state-of-the-ar... | [
{
"start": 184,
"end": 207,
"text": "Mamba-Codestral-7B-v0.1",
"label": "benchmark name",
"score": 0.7078033685684204
}
] |
FremyCompany/BioLORD-2023-C | FremyCompany | 2025-01-09T19:25:52Z | 47,576 | 7 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"safetensors",
"mpnet",
"feature-extraction",
"sentence-similarity",
"medical",
"biology",
"en",
"dataset:FremyCompany/BioLORD-Dataset",
"dataset:FremyCompany/AGCT-Dataset",
"arxiv:2311.16075",
"license:other",
"endpoints_compatible",
"deploy:azure",
... | sentence-similarity | 2024-02-12T18:54:09Z | | 🙏 If you are able to, please help me [fund my open research](https://gofund.me/1f2d6803). 🙏 Thank you for your generosity! 🤗 |
|-----------------------------------------------------------------------------------------------------------------------------------|
# FremyCompany/BioLORD-2023-C
This model was trained... | [] |
mradermacher/Ministral-3-8B-Reasoning-2512-GGUF | mradermacher | 2025-12-02T17:29:00Z | 633 | 1 | transformers | [
"transformers",
"gguf",
"mistral-common",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"base_model:mistralai/Ministral-3-8B-Reasoning-2512",
"base_model:quantized:mistralai/Ministral-3-8B-Reasoning-2512",
"license:apache-2.0",
"endpoints_compatible",
"region:... | null | 2025-12-02T17:04:42Z | ## 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 q... | [] |
mradermacher/Qwen-3-4b-Opus-4.5-Super-Distill-Experimental-GGUF | mradermacher | 2025-12-11T12:55:34Z | 129 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3",
"en",
"dataset:TeichAI/claude-4.5-opus-high-reasoning-250x",
"base_model:tikeape/Qwen-3-4b-Opus-4.5-Super-Distill-Experimental",
"base_model:quantized:tikeape/Qwen-3-4b-Opus-4.5-Super-Distill-Experimental",
"license:apache-2.... | null | 2025-12-11T11:00:58Z | ## 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": 405,
"text": "Qwen-3-4b-Opus-4.5-Super-Distill-Experimental",
"label": "benchmark name",
"score": 0.6732955574989319
},
{
"start": 542,
"end": 592,
"text": "Qwen-3-4b-Opus-4.5-Super-Distill-Experimental-GGUF",
"label": "benchmark name",
"score": 0.7... |
Qwen/Qwen3.5-397B-A17B-GPTQ-Int4 | Qwen | 2026-04-24T05:52:53Z | 34,845 | 25 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-397B-A17B",
"base_model:quantized:Qwen/Qwen3.5-397B-A17B",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"gptq",
"deploy:azure",
"region:us"
] | image-text-to-text | 2026-03-03T06:25:36Z | # Qwen3.5-397B-A17B-GPTQ-Int4
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
[](https://chat.qwen.ai)
> [!Note]
> This repository contains int4-quantized model weights and configuration... | [] |
mradermacher/gemma-3-12b-it-vl-GLM-4.7-Flash-Heretic-Uncensored-Thinking-GGUF | mradermacher | 2026-02-02T23:43:57Z | 828 | 2 | transformers | [
"transformers",
"gguf",
"uncensored",
"heretic",
"abliterated",
"unsloth",
"finetune",
"All use cases",
"bfloat16",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
... | null | 2026-02-02T15:39:30Z | ## 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... | [] |
laion/clap-htsat-unfused | laion | 2023-04-24T14:39:57Z | 396,321 | 70 | transformers | [
"transformers",
"pytorch",
"clap",
"feature-extraction",
"arxiv:2211.06687",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | feature-extraction | 2023-02-16T20:47:08Z | # Model card for CLAP
Model card for CLAP: Contrastive Language-Audio Pretraining
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Usage](#usage)
3. [Uses](#uses)
4. [Citation]... | [] |
nightmedia/Qwen3-30B-A3B-Thinking-2507-Claude-4.5-Sonnet-High-Reasoning-Distill-qx86x-hi-mlx | nightmedia | 2025-11-17T01:21:07Z | 223 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_moe",
"text-generation",
"text-generation-inference",
"transformers",
"unsloth",
"conversational",
"en",
"dataset:TeichAI/claude-sonnet-4.5-high-reasoning-250x",
"base_model:TeichAI/Qwen3-30B-A3B-Thinking-2507-Claude-4.5-Sonnet-High-Reasoning-Distill",
"base_model:... | text-generation | 2025-11-16T14:27:29Z | # Qwen3-30B-A3B-Thinking-2507-Claude-4.5-Sonnet-High-Reasoning-Distill-qx86x-hi-mlx
> Reviewed with [nightmedia/Qwen3-Next-80B-A3B-Instruct-512K-11e-qx65n-mlx](https://huggingface.co/nightmedia/Qwen3-Next-80B-A3B-Instruct-512K-11e-qx65n-mlx)
Thank you for this rich and nuanced dataset — it’s a valuable window into ho... | [] |
mradermacher/Suri-Qwen-3.0-4B-Uncensored-i1-GGUF | mradermacher | 2026-03-22T17:51:11Z | 1,095 | 1 | transformers | [
"transformers",
"gguf",
"suri",
"qwen",
"4B",
"uncensored",
"unaligned",
"text-generation-inference",
"zh",
"en",
"dataset:NobodyExistsOnTheInternet/ToxicQAFinal",
"dataset:Orion-zhen/dpo-toxic-zh",
"dataset:unalignment/toxic-dpo-v0.2",
"base_model:SpaceTimee/Suri-Qwen-3.1-4B-Uncensored-Pr... | null | 2025-11-29T07:14:43Z | ## 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": 638,
"end": 673,
"text": "Suri-Qwen-3.0-4B-Uncensored-i1-GGUF",
"label": "benchmark name",
"score": 0.6543616056442261
},
{
"start": 1240,
"end": 1275,
"text": "Suri-Qwen-3.0-4B-Uncensored-i1-GGUF",
"label": "benchmark name",
"score": 0.6242539286613464
}
] |
mradermacher/DeepSeek-R1-Distill-Qwen-14B-GSPO-Basic-i1-GGUF | mradermacher | 2025-12-09T03:23:30Z | 180 | 1 | transformers | [
"transformers",
"gguf",
"generated_from_trainer",
"trl",
"grpo",
"en",
"dataset:AIML-TUDA/SLR-Bench",
"base_model:leonMW/DeepSeek-R1-Distill-Qwen-14B-GSPO-Basic",
"base_model:quantized:leonMW/DeepSeek-R1-Distill-Qwen-14B-GSPO-Basic",
"endpoints_compatible",
"region:us",
"imatrix",
"conversat... | null | 2025-08-13T15:05:45Z | ## 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... | [] |
black-forest-labs/FLUX.2-klein-4B | black-forest-labs | 2026-02-24T00:18:56Z | 270,651 | 571 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"image-editing",
"flux",
"diffusion-single-file",
"image-to-image",
"en",
"license:apache-2.0",
"diffusers:Flux2KleinPipeline",
"region:us"
] | image-to-image | 2026-01-14T13:42:59Z | 
The FLUX.2 [klein] model family are our fastest image models to date. FLUX.2 [klein] unifies generation and editing in a single compact architecture, **delivering state-of-the-art quality with end-to-end inference in as low as under a second**. ... | [] |
moojink/openvla-7b-oft-finetuned-libero-spatial | moojink | 2025-06-17T22:28:54Z | 6,576 | 14 | transformers | [
"transformers",
"safetensors",
"openvla",
"feature-extraction",
"robotics",
"custom_code",
"arxiv:2502.19645",
"license:mit",
"region:us"
] | robotics | 2025-02-25T22:02:06Z | # Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
This repository contains the OpenVLA-OFT checkpoint for LIBERO-Spatial, as described in [Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success](https://arxiv.org/abs/2502.19645). OpenVLA-OFT significantly improves upon the base... | [] |
deepseek-ai/deepseek-coder-1.3b-base | deepseek-ai | 2023-11-14T03:32:27Z | 34,589 | 108 | transformers | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2023-10-28T07:42:03Z | <p align="center">
<img width="1000px" alt="DeepSeek Coder" src="https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/pictures/logo.png?raw=true">
</p>
<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://coder.deepseek.com/">[🤖 Chat with DeepSeek Coder]</a> | <a href="https... | [] |
Tesslate/WEBGEN-4B-Preview | Tesslate | 2025-09-02T21:35:35Z | 100 | 85 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"web-generation",
"html",
"css",
"tailwind-css",
"ui-generation",
"web-design",
"small-model",
"conversational",
"en",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:apache... | text-generation | 2025-09-02T12:51:25Z | <style>
:root{
--bg: #0b0c0f;
--panel: #0f1117;
--ink: #e9eefc;
--muted: #9aa3b2;
--brand: #5b8cff; /* soft indigo */
--brand-2: #4ef2c8; /* mint accent */
--border: rgba(255,255,255,.08);
--glow: rgba(91,140,255,.25);
--radius: 16px;
}
*{ box-sizing: border-box }
.card{
background: linear-gradient(... | [] |
Hcompany/Holo1.5-7B | Hcompany | 2026-03-18T14:21:58Z | 318 | 94 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"multimodal",
"action",
"agent",
"pytorch",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-7B-Instruct",
"license:apache-2.0",
"eval-results",
"text-generation-infer... | image-text-to-text | 2025-09-11T13:45:44Z | # **Holo1.5: Foundational Models for Computer Use Agents**
[](https://github.com/hcompai/hai-cookbook/blob/main/holo1_5/holo_1_5_quickstart.ipynb)
[![Space](https://img.shields.io/badge/Hugging_Face_Space-FFD... | [
{
"start": 1149,
"end": 1162,
"text": "Screenspot-V2",
"label": "benchmark name",
"score": 0.6160557270050049
}
] |
codefuse-ai/F2LLM-v2-4B | codefuse-ai | 2026-03-20T02:36:00Z | 279 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3",
"feature-extraction",
"sentence-transformers",
"en",
"zh",
"ru",
"es",
"fr",
"de",
"ar",
"nl",
"vi",
"hi",
"ko",
"ja",
"it",
"id",
"pt",
"pl",
"tr",
"da",
"th",
"sv",
"fa",
"uk",
"cs",
"no",
"el",
"ca",
"ro",
"fi... | feature-extraction | 2026-03-09T11:13:03Z | # F2LLM-v2-4B
F2LLM-v2 is a family of general-purpose, multilingual embedding models in 8 distinct sizes ranging from 80M to 14B. Trained on a curated composite of 60 million publicly available high-quality data, F2LLM-v2 supports more than 200 languages, with a particular emphasis on previously underserved mid- and l... | [] |
mradermacher/QiMing-LongWriter-20B-MXFP4-GGUF | mradermacher | 2025-09-22T19:20:11Z | 225 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"QiMing",
"vllm",
"writer",
"long",
"saas",
"fine-tuned",
"instruction-following",
"role-playing",
"cognitive-simulator",
"en",
"zh",
"base_model:aifeifei798/QiMing-LongWriter-20B-MXFP4",
"base_model:quantized:aifeifei798/QiMing-LongWriter-20B-MXFP4",... | null | 2025-09-22T17:22:50Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: MXFP4_MOE 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: -->... | [] |
GAIR/OpenSWE-72B | GAIR | 2026-03-16T11:55:31Z | 948 | 3 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"software",
"environment",
"agent",
"code",
"conversational",
"en",
"arxiv:2603.13023",
"arxiv:2505.20411",
"arxiv:2506.10954",
"base_model:Qwen/Qwen2.5-72B",
"base_model:finetune:Qwen/Qwen2.5-72B",
"license:other",
"eval-res... | text-generation | 2026-03-15T11:38:08Z | # OpenSWE: Efficient SWE Environment Synthesis at Scale
<div align="center">
[](https://github.com/GAIR-NLP/OpenSWE/blob/main/asset/paper.pdf)
[](https://arxiv.org/pdf/2603.13023)
[![GitHub](ht... | [] |
mradermacher/Skyfall-31B-v4-i1-GGUF | mradermacher | 2025-12-28T20:23:43Z | 156 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:TheDrummer/Skyfall-31B-v4",
"base_model:quantized:TheDrummer/Skyfall-31B-v4",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-03T23:50:37Z | ## 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_K... | [
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mradermacher/Huihui-Qwen3-Next-80B-A3B-Thinking-abliterated-GGUF | mradermacher | 2025-12-22T10:11:13Z | 1,802 | 5 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"chat",
"en",
"zh",
"base_model:huihui-ai/Huihui-Qwen3-Next-80B-A3B-Thinking-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3-Next-80B-A3B-Thinking-abliterated",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational... | null | 2025-12-20T14:23:16Z | ## 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... | [] |
mudler/gemma-4-26B-A4B-it-APEX-GGUF | mudler | 2026-05-04T16:22:29Z | 220,829 | 54 | null | [
"gguf",
"quantized",
"apex",
"moe",
"mixture-of-experts",
"gemma4",
"vlm",
"vision",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:quantized:google/gemma-4-26B-A4B-it",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-02T18:17:55Z | <!-- apex-banner-v2 -->
<div style="background-color: #f59e0b; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
<h2 style="color: white; margin: 0 0 10px 0;">⚡ Each donation = another big MoE quantized</h2>
<p style="font-size: 18px; margin: 0 0 15px 0;">I host <b>25+ free APEX Mo... | [
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"text": "APEX",
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mradermacher/Qwen3-30B-A3B-Instruct-2507-Heretic-i1-GGUF | mradermacher | 2026-02-23T18:56:59Z | 738 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"en",
"base_model:dEcQEGdeTshDWbOJQcYp/Qwen3-30B-A3B-Instruct-2507-Heretic",
"base_model:quantized:dEcQEGdeTshDWbOJQcYp/Qwen3-30B-A3B-Instruct-2507-Heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-23T14:01:26Z | ## 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_... | [] |
GAIR/OpenSWE-32B | GAIR | 2026-03-16T11:57:39Z | 930 | 1 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"software",
"environment",
"agent",
"code",
"conversational",
"en",
"arxiv:2603.13023",
"arxiv:2505.20411",
"arxiv:2506.10954",
"base_model:Qwen/Qwen2.5-32B",
"base_model:finetune:Qwen/Qwen2.5-32B",
"license:other",
"eval-res... | text-generation | 2026-03-15T12:56:20Z | # OpenSWE: Efficient SWE Environment Synthesis at Scale
<div align="center">
[](https://github.com/GAIR-NLP/OpenSWE/blob/main/asset/paper.pdf)
[](https://arxiv.org/pdf/2603.13023)
[![GitHub](ht... | [] |
turkerberkdonmez/TUSGPT-TR-Medical-9B | turkerberkdonmez | 2026-02-15T17:37:18Z | 1,153 | 11 | transformers | [
"transformers",
"safetensors",
"gguf",
"gemma2",
"text-generation",
"medical",
"turkish",
"dora",
"sft",
"mlx",
"apple-silicon",
"conversational",
"tr",
"dataset:turkerberkdonmez/TUSGPT-TR-Medical-Dataset-v1",
"base_model:ytu-ce-cosmos/Turkish-Gemma-9b-T1",
"base_model:quantized:ytu-ce... | text-generation | 2026-02-11T07:37:42Z | <div align="center">
# ⚕️ TUSGPT-TR-Medical-9B
**Türkiye'nin İlk Açık Kaynak Türkçe Medikal Dil Modeli** *Turkey's First Open-Source Turkish Medical Language Model*
[](https://opensource.org/licenses/Apache-2.0)
[![Base Model](https://img.shields.i... | [] |
mradermacher/Kimi-Linear-48B-A3B-Instruct-i1-GGUF | mradermacher | 2026-02-16T09:17:37Z | 1,251 | 3 | transformers | [
"transformers",
"gguf",
"en",
"base_model:moonshotai/Kimi-Linear-48B-A3B-Instruct",
"base_model:quantized:moonshotai/Kimi-Linear-48B-A3B-Instruct",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-15T11:35:39Z | ## 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_... | [] |
Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0 | Telugu-LLM-Labs | 2024-03-18T04:40:34Z | 316 | 23 | transformers | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"te",
"en",
"ta",
"ml",
"mr",
"hi",
"kn",
"sd",
"ne",
"ur",
"as",
"gu",
"bn",
"pa",
"or",
"dataset:ravithejads/samvaad-hi-filtered",
"dataset:Telugu-LLM-Labs/telugu_teknium_GPTeacher_general_instruct_filtered_romanize... | text-generation | 2024-03-17T16:57:48Z | # Indic-gemma-7b-finetuned-sft-Navarasa-2.0
This model is based on [google/gemma-7b](https://huggingface.co/google/gemma-7b) and hase been LoRA finetuned on 15 Indian languages and English language instruction datasets:
1. #### Hindi - [ravithejads/samvaad-hi-filtered](https://huggingface.co/datasets/ravithejads/samv... | [] |
OpenMOSS-Team/MOSS-VL-Instruct-0408 | OpenMOSS-Team | 2026-04-22T12:42:18Z | 519 | 87 | transformers | [
"transformers",
"safetensors",
"moss_vl",
"feature-extraction",
"SFT",
"Video-Understanding",
"Image-Understanding",
"MOSS-VL",
"OpenMOSS",
"multimodal",
"video",
"vision-language",
"video-text-to-text",
"custom_code",
"en",
"base_model:OpenMOSS-Team/MOSS-VL-Base-0408",
"base_model:f... | video-text-to-text | 2026-04-07T12:51:07Z | <p align="center">
<img src="assets/logo.png" width="320"/>
</p>
# MOSS-VL-Instruct-0408
## 📌 Introduction
MOSS-VL-Instruct-0408 is the instruction-tuned checkpoint of the MOSS-VL series, part of the OpenMOSS ecosystem dedicated to advancing visual understanding.
Built on top of MOSS-VL-Base-0408 through superv... | [
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Tiiny/SmallThinker-4BA0.6B-Instruct-GGUF | Tiiny | 2025-08-05T01:12:11Z | 1,317 | 36 | null | [
"gguf",
"text-generation",
"en",
"base_model:Tiiny/SmallThinker-4BA0.6B-Instruct",
"base_model:quantized:Tiiny/SmallThinker-4BA0.6B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-07-27T16:09:24Z | ## SmallThinker-4BA0.6B-Instruct-GGUF
- GGUF models with `.gguf` suffix can used with [*llama.cpp*](https://github.com/ggml-org/llama.cpp) framework.
- GGUF models with `.powerinfer.gguf` suffix are integrated with fused sparse FFN operators and sparse LM head operators. These models are only compatible to [*powerinf... | [
{
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"text": "HUMANEVAL",
"label": "benchmark name",
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] |
mradermacher/LegalOne-R1-1.7B-i1-GGUF | mradermacher | 2026-01-25T17:38:30Z | 105 | 2 | transformers | [
"transformers",
"gguf",
"legal",
"zh",
"dataset:CSHaitao/LexEval",
"base_model:CSHaitao/LegalOne-1.7B",
"base_model:quantized:CSHaitao/LegalOne-1.7B",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-23T16:56:03Z | ## 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": 638,
"text": "LegalOne-R1-1.7B-i1-GGUF",
"label": "benchmark name",
"score": 0.6650468707084656
}
] |
byteshape/Qwen3-30B-A3B-Instruct-2507-GGUF | byteshape | 2026-01-11T15:32:41Z | 4,818 | 80 | transformers | [
"transformers",
"gguf",
"qwen",
"qwen3",
"byteshape",
"text-generation",
"base_model:Qwen/Qwen3-30B-A3B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-30B-A3B-Instruct-2507",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-01-05T19:47:01Z | # Qwen3-30B-A3B-Instruct-2507 GGUF (ShapeLearn Quantized)
This is a GGUF-quantized version of Qwen3-30B-A3B-Instruct-2507 produced with **ByteShape's ShapeLearn**, which learns the optimal datatype per tensor to maintain high quality even at very low bitlengths.
To learn more about ShapeLearn and to see detailed benc... | [
{
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"text": "Qwen3-30B-A3B-Instruct-2507",
"label": "benchmark name",
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{
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"end": 46,
"text": "ShapeLearn",
"label": "benchmark name",
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{
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"... |
Qwen/Qwen1.5-4B-Chat | Qwen | 2024-04-30T07:41:43Z | 15,198 | 46 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2309.16609",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-01-30T17:20:32Z | # Qwen1.5-4B-Chat
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and an... | [] |
mradermacher/Skywork-SWE-32B-GGUF | mradermacher | 2025-07-11T00:45:11Z | 143 | 6 | transformers | [
"transformers",
"gguf",
"swe-bench",
"en",
"base_model:Skywork/Skywork-SWE-32B",
"base_model:quantized:Skywork/Skywork-SWE-32B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-06-19T17:37:24Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/Skywork/Skywork-SWE-32B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page f... | [] |
mradermacher/d3LLM_LLaDA-GGUF | mradermacher | 2026-01-18T08:52:02Z | 111 | 3 | transformers | [
"transformers",
"gguf",
"diffusion",
"text-generation",
"fast-inference",
"d3llm",
"en",
"dataset:d3LLM/trajectory_data_llada_32",
"base_model:d3LLM/d3LLM_LLaDA",
"base_model:quantized:d3LLM/d3LLM_LLaDA",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-12-01T02:31:34Z | ## 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... | [] |
mradermacher/PixelReasoner-WarmStart-GGUF | mradermacher | 2025-07-31T03:59:26Z | 262 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:TIGER-Lab/PixelReasoner-SFT-Data",
"base_model:TIGER-Lab/PixelReasoner-WarmStart",
"base_model:quantized:TIGER-Lab/PixelReasoner-WarmStart",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-05-30T22:29:08Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/TIGER-Lab/PixelReasoner-WarmStart
<!-- provided-files -->
***For a convenient overview and download list, visit our [mo... | [] |
mradermacher/PsychoCounsel-Theraspace-Llama3-8B-i1-GGUF | mradermacher | 2025-12-25T19:23:41Z | 347 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:EmoCareAI/Psych8k",
"dataset:nbertagnolli/counsel-chat",
"base_model:omar-salama/PsychoCounsel-Theraspace-Llama3-8B",
"base_model:quantized:omar-salama/PsychoCounsel-Theraspace-Llama3-8B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-03T10:44:58Z | ## 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... | [] |
Verdugie/Opus-Candid-8B-V1 | Verdugie | 2026-03-11T18:08:04Z | 117 | 1 | transformers | [
"transformers",
"gguf",
"conversational",
"personality",
"anti-sycophancy",
"bilingual",
"claude-distillation",
"opus",
"archived",
"text-generation",
"en",
"es",
"base_model:Qwen/Qwen2.5-7B",
"base_model:quantized:Qwen/Qwen2.5-7B",
"license:apache-2.0",
"endpoints_compatible",
"regi... | text-generation | 2026-02-25T15:18:36Z | > **V3 is here.** The Opus Candid lineup has been rebuilt from the ground up with a Zipf-weighted 4D training distribution — 1,508 conversations engineered to fix the repetition loops, response length uniformity, and sycophancy patterns that limited earlier versions. Same thesis: personality in the weights, not in the ... | [] |
pysentimiento/bertweet-pt-sentiment | pysentimiento | 2023-03-29T20:15:30Z | 56,076 | 17 | pysentimiento | [
"pysentimiento",
"pytorch",
"safetensors",
"roberta",
"twitter",
"sentiment-analysis",
"pt",
"arxiv:2106.09462",
"region:us"
] | null | 2023-02-27T17:16:09Z | # Sentiment Analysis in Portuguese
Repository: [https://github.com/pysentimiento/pysentimiento/](https://github.com/pysentimiento/pysentimiento/)
Model trained for polarity detection in Portuguese. Base model is [BERTabaporu](https://huggingface.co/pablocosta/bertabaporu-base-uncased), a RoBERTa model trained in Po... | [] |
mradermacher/Qwen3.5-24B-A3B-Claude-Opus-Gemini-3.1-Pro-Reasoning-Distilled-heretic-GGUF | mradermacher | 2026-03-15T21:10:56Z | 878 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3_5_moe_text",
"trl",
"reasoning",
"thinking",
"distillation",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:Roman1111111/gemini-3.1-pro-hard... | null | 2026-03-15T13:14:18Z | ## 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... | [] |
cross-encoder/ms-marco-TinyBERT-L2-v2 | cross-encoder | 2025-08-29T14:37:18Z | 548,870 | 44 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"jax",
"onnx",
"safetensors",
"openvino",
"bert",
"text-classification",
"transformers",
"text-ranking",
"en",
"dataset:sentence-transformers/msmarco",
"base_model:nreimers/BERT-Tiny_L-2_H-128_A-2",
"base_model:quantized:nreimers/BERT-Tiny_L-2_H-128_A-2"... | text-ranking | 2022-03-02T23:29:05Z | # Cross-Encoder for MS Marco
This model was trained on the [MS Marco Passage Ranking](https://github.com/microsoft/MSMARCO-Passage-Ranking) task.
The model can be used for Information Retrieval: Given a query, encode the query will all possible passages (e.g. retrieved with ElasticSearch). Then sort the passages in a... | [] |
caiovicentino1/GLM-4.7-Flash-PolarQuant-Q5 | caiovicentino1 | 2026-04-10T19:35:54Z | 104 | 1 | null | [
"glm4_moe_lite",
"hlwq",
"polarquant",
"moe",
"glm",
"mla",
"bit-packed",
"arxiv:2502.02617",
"arxiv:2603.29078",
"base_model:zai-org/GLM-4.7-Flash",
"base_model:quantized:zai-org/GLM-4.7-Flash",
"license:mit",
"polarengine",
"region:us"
] | null | 2026-04-06T03:03:29Z | > [!IMPORTANT]
> **Naming notice (2026-04-10).** The "PolarQuant" technique used in this model is being rebranded to **HLWQ (Hadamard-Lloyd Weight Quantization)**. The change is only the name; the algorithm and the weights in this repository are unchanged.
>
> The rebrand resolves a name collision with an unrelated, ea... | [
{
"start": 54,
"end": 64,
"text": "PolarQuant",
"label": "benchmark name",
"score": 0.9061968326568604
},
{
"start": 119,
"end": 123,
"text": "HLWQ",
"label": "benchmark name",
"score": 0.7136523723602295
},
{
"start": 366,
"end": 376,
"text": "PolarQuant"... |
qualcomm/YamNet | qualcomm | 2026-04-28T06:54:12Z | 379 | 7 | pytorch | [
"pytorch",
"real_time",
"android",
"audio-classification",
"arxiv:1704.04861",
"license:other",
"region:us"
] | audio-classification | 2025-03-14T02:22:13Z | 
# YamNet: Optimized for Qualcomm Devices
An audio event classifier trained on the AudioSet dataset to predict audio events from the AudioSet ontology employing the Mobilenet_v1 depthwise-separable convo... | [] |
diffusers/stable-diffusion-xl-1.0-inpainting-0.1 | diffusers | 2023-09-03T16:36:39Z | 127,474 | 360 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"inpainting",
"arxiv:2112.10752",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:finetune:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"diffusers:StableDif... | text-to-image | 2023-09-01T14:07:10Z | ---
license: openrail++
base_model: stabilityai/stable-diffusion-xl-base-1.0
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- inpainting
inference: false
---
# SD-XL Inpainting 0.1 Model Card
SD-XL Inpainting 0.1 is a latent text-t... | [] |
jinaai/jina-embeddings-v5-text-small-text-matching | jinaai | 2026-04-15T09:40:09Z | 7,287 | 10 | llama.cpp | [
"llama.cpp",
"onnx",
"safetensors",
"gguf",
"qwen3",
"embedding",
"llama-cpp",
"jina-embeddings-v5",
"feature-extraction",
"mteb",
"vllm",
"sentence-transformers",
"sentence-similarity",
"multilingual",
"arxiv:2602.15547",
"base_model:jinaai/jina-embeddings-v5-text-small",
"base_mode... | sentence-similarity | 2026-02-10T12:18:11Z | <br><br>
<p align="center">
<img src="https://huggingface.co/datasets/jinaai/documentation-images/resolve/main/logo.webp" alt="Jina AI: Your Search Foundation, Supercharged!" width="150px">
</p>
### **jina-embeddings-v5-text-small-text-matching**: Text-Matching-Targeted Embedding Distillation
[Elastic Inference Serv... | [] |
mradermacher/MMFineReason-8B-GGUF | mradermacher | 2026-02-01T06:29:10Z | 156 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:OpenDataArena/MMFineReason-1.8M",
"base_model:OpenDataArena/MMFineReason-8B",
"base_model:quantized:OpenDataArena/MMFineReason-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-31T06:00:11Z | ## 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": 366,
"end": 381,
"text": "MMFineReason-8B",
"label": "benchmark name",
"score": 0.7676163911819458
},
{
"start": 518,
"end": 538,
"text": "MMFineReason-8B-GGUF",
"label": "benchmark name",
"score": 0.7908777594566345
},
{
"start": 622,
"end": 645,
... |
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