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 |
|---|---|---|---|---|---|---|---|---|---|---|
LiquidAI/LFM2.5-1.2B-JP-ONNX | LiquidAI | 2026-01-09T06:29:51Z | 146 | 13 | null | [
"onnx",
"lfm2",
"liquid",
"edge",
"lfm2.5",
"japanese",
"onnxruntime",
"webgpu",
"text-generation",
"conversational",
"ja",
"en",
"base_model:LiquidAI/LFM2.5-1.2B-JP",
"base_model:quantized:LiquidAI/LFM2.5-1.2B-JP",
"license:other",
"region:us"
] | text-generation | 2026-01-05T00:38:49Z | <div align="center">
<img
src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png"
alt="Liquid AI"
style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
/>
<div style="display: flex; jus... | [] |
artificialguybr/360VIEW-REDMOND-FLUXKLEIN9B | artificialguybr | 2026-02-19T00:24:26Z | 121 | 3 | diffusers | [
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"base_model:black-forest-labs/FLUX.2-klein-9B",
"base_model:adapter:black-forest-labs/FLUX.2-klein-9B",
"license:apache-2.0",
"region:us"
] | text-to-image | 2026-02-19T00:12:59Z | # 360 VIEW REDMOND LORA FOR FLUX KLEIN 9B
<Gallery />
## Model description
#360Viewer LoRA - Panoramic View Generation
I'm grateful for the GPU time from [Redmond.AI](https://redmond.ai/) that allowed me to make this model!
This LoRA specializes in generating stunning 360-degree panoramic views... | [] |
lukey03/Qwen3.5-9B-abliterated-MLX-4bit | lukey03 | 2026-03-03T17:54:48Z | 2,751 | 3 | mlx | [
"mlx",
"safetensors",
"qwen3_5_text",
"abliterated",
"uncensored",
"qwen3.5",
"qwen",
"text-generation",
"conversational",
"en",
"arxiv:2406.11717",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2026-03-03T12:00:48Z | # Qwen3.5-9B-abliterated-MLX-4bit
4-bit quantized [MLX](https://github.com/ml-explore/mlx) version of [lukey03/Qwen3.5-9B-abliterated](https://huggingface.co/lukey03/Qwen3.5-9B-abliterated) for native Apple Silicon inference.
## Quick Start
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
... | [
{
"start": 2,
"end": 33,
"text": "Qwen3.5-9B-abliterated-MLX-4bit",
"label": "benchmark name",
"score": 0.7603633403778076
},
{
"start": 52,
"end": 55,
"text": "MLX",
"label": "benchmark name",
"score": 0.7917807102203369
},
{
"start": 734,
"end": 737,
"te... |
PixArt-alpha/PixArt-XL-2-1024-MS | PixArt-alpha | 2023-11-07T06:11:50Z | 7,297 | 213 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"Pixart-α",
"arxiv:2310.00426",
"arxiv:2112.10752",
"arxiv:2309.05019",
"license:openrail++",
"endpoints_compatible",
"diffusers:PixArtAlphaPipeline",
"region:us"
] | text-to-image | 2023-11-04T15:48:30Z | <p align="center">
<img src="asset/logo.png" height=120>
</p>
<div style="display:flex;justify-content: center">
<a href="https://huggingface.co/spaces/PixArt-alpha/PixArt-alpha"><img src="https://img.shields.io/static/v1?label=Demo&message=Huggingface&color=yellow"></a>  
<a href="https://pixart-alpha.git... | [] |
bartowski/Qwen2.5.1-Coder-7B-Instruct-GGUF | bartowski | 2024-11-06T18:47:37Z | 7,846 | 103 | null | [
"gguf",
"code",
"codeqwen",
"chat",
"qwen",
"qwen-coder",
"text-generation",
"en",
"base_model:Qwen/Qwen2.5-Coder-7B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-7B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-11-06T17:50:33Z | ## Llamacpp imatrix Quantizations of Qwen2.5.1-Coder-7B-Instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4014">b4014</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct
All quan... | [] |
wangzhang/Qwen3.6-27B-abliterated-GGUF | wangzhang | 2026-05-02T13:46:42Z | 1,282 | 5 | gguf | [
"gguf",
"abliterated",
"uncensored",
"quantized",
"qwen3.6",
"hybrid-attention",
"gated-deltanet",
"llama.cpp",
"text-generation",
"en",
"zh",
"base_model:wangzhang/Qwen3.6-27B-abliterated",
"base_model:quantized:wangzhang/Qwen3.6-27B-abliterated",
"license:apache-2.0",
"endpoints_compat... | text-generation | 2026-04-24T03:57:02Z | # Qwen3.6-27B-abliterated-v2 — GGUF
GGUF quantizations of [wangzhang/Qwen3.6-27B-abliterated](https://huggingface.co/wangzhang/Qwen3.6-27B-abliterated), a second-pass refusal-suppressed Qwen3.6-27B (10/100 refusals, 15/15 hard-prompt compliance, cumulative KL ≈ 0.024 vs original `Qwen/Qwen3.6-27B`). See the base model... | [] |
mradermacher/nexus-dispatch-7b-i1-GGUF | mradermacher | 2026-03-04T18:17:07Z | 3,467 | 1 | transformers | [
"transformers",
"gguf",
"sysbreak",
"cyberpunk",
"game-content",
"qwen2",
"lora-merged",
"en",
"base_model:nullvektordom/nexus-dispatch-7b",
"base_model:quantized:nullvektordom/nexus-dispatch-7b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-04T15:11:59Z | ## 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_... | [] |
nvidia/nemotron-colembed-vl-4b-v2 | nvidia | 2026-02-21T01:02:24Z | 32,586 | 35 | transformers | [
"transformers",
"safetensors",
"qwen3_vl_nemotron_embed",
"feature-extraction",
"text",
"image",
"vidore",
"colpali",
"multimodal-embedding",
"multilingual-embedding",
"Text-to-Visual Document (T→VD) retrieval",
"visual-document-retrieval",
"custom_code",
"multilingual",
"arxiv:2602.0399... | visual-document-retrieval | 2026-01-15T23:53:44Z | # Nemotron ColEmbed V2
<p align="center">
🤗 <a href="https://huggingface.co/nvidia/nemotron-colembed-vl-8b-v2">8B</a> |    🤗 <a href="https://huggingface.co/nvidia/nemotron-colembed-vl-4b-v2">4B</a> |    🤗 <a href="https://huggingface.co/nvidia/llama-nemotron-colembed-vl-3b-v2">3B</a>  
</p>
... | [
{
"start": 477,
"end": 486,
"text": "ViDoRe V3",
"label": "benchmark name",
"score": 0.7740581035614014
},
{
"start": 601,
"end": 606,
"text": "61.42",
"label": "evaluation metric",
"score": 0.7987692356109619
}
] |
kugelaudio/kugelaudio-0-open | kugelaudio | 2026-02-06T15:07:00Z | 6,424 | 179 | null | [
"safetensors",
"kugelaudio",
"text-to-speech",
"tts",
"speech-synthesis",
"audio-generation",
"european-languages",
"diffusion",
"autoregressive",
"en",
"de",
"fr",
"es",
"it",
"pt",
"nl",
"pl",
"ru",
"uk",
"cs",
"ro",
"hu",
"sv",
"da",
"fi",
"no",
"el",
"bg",
... | text-to-speech | 2026-01-11T20:24:30Z | # 🎙️ KugelAudio-0-Open
**Open-source text-to-speech for European languages**
7B parameter model powered by an AR + Diffusion architecture
<p align="center">
<a href="https://github.com/Kugelaudio/kugelaudio-open"><img src="https://img.shields.io/badge/GitHub-Source_Code-black" alt="GitHub Source Code"></a>
<a hr... | [] |
lmstudio-community/Qwen3-VL-8B-Instruct-GGUF | lmstudio-community | 2025-10-30T20:19:00Z | 51,772 | 3 | null | [
"gguf",
"base_model:Qwen/Qwen3-VL-8B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-8B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-30T20:15:23Z | ## 💫 Community Model> Qwen3-VL-8B-Instruct 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>
**Original... | [] |
OpenMed/OpenMed-PII-BioClinicalModern-Large-395M-v1 | OpenMed | 2026-01-13T19:51:34Z | 18,180 | 9 | transformers | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"ner",
"pii",
"pii-detection",
"de-identification",
"privacy",
"healthcare",
"medical",
"clinical",
"phi",
"hipaa",
"pytorch",
"openmed",
"en",
"dataset:nvidia/Nemotron-PII",
"license:apache-2.0",
"model-index... | token-classification | 2026-01-13T19:51:07Z | # OpenMed-PII-BioClinicalModern-Large-395M-v1
**PII Detection Model** | 395M Parameters | Open Source
[]() []() []()
## Mode... | [
{
"start": 177,
"end": 186,
"text": "Precision",
"label": "evaluation metric",
"score": 0.6839691400527954
},
{
"start": 1218,
"end": 1227,
"text": "Precision",
"label": "evaluation metric",
"score": 0.7918083071708679
},
{
"start": 1374,
"end": 1383,
"tex... |
PaddlePaddle/latin_PP-OCRv5_mobile_rec | PaddlePaddle | 2025-10-16T09:01:34Z | 53,830 | 3 | PaddleOCR | [
"PaddleOCR",
"OCR",
"PaddlePaddle",
"textline_recognition",
"image-to-text",
"en",
"zh",
"license:apache-2.0",
"region:us"
] | image-to-text | 2025-07-02T12:39:10Z | # PP-OCRv5_server_rec
## Introduction
latin_PP-OCRv5_mobile_rec is one of the PP-OCRv5_rec that are the latest generation text line recognition models developed by PaddleOCR team. It aims to efficiently and accurately support the recognition of Korean. The key accuracy metrics are as follow:
| 模型 | 拉丁字母语言数据集 精度 (%) ... | [] |
XunmeiLiu/VFIG-4B | XunmeiLiu | 2026-03-27T05:50:50Z | 183 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"svg",
"vision-language",
"reinforcement-learning",
"grpo",
"figure-understanding",
"vector-graphics",
"en",
"arxiv:2603.24575",
"base_model:Qwen/Qwen3-VL-4B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-4B-Instruct",
"lice... | reinforcement-learning | 2026-03-17T19:26:37Z | # VFIG-4B
This repository contains the merged RL-trained checkpoint for **VFIG-4B**, a 4B vision-language model for converting complex scientific and technical figures into clean, editable SVG code.
- 📄 [Paper](https://arxiv.org/abs/2603.24575)
## Model Details
| Property | Value |
|---|---|
| Base Model | Qwen/Qw... | [] |
mradermacher/gemma-4-19B-A4B-it-The-DECKARD-Heretic-Uncensored-Thinking-i1-GGUF | mradermacher | 2026-04-21T16:42:57Z | 13,651 | 7 | transformers | [
"transformers",
"gguf",
"moe",
"mixture of experts",
"unsloth",
"finetune",
"pruned experts 90",
"uncensored",
"abliterated",
"heretic",
"all use cases",
"coder",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"sce... | null | 2026-04-12T13:17:26Z | ## 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_... | [] |
bartowski/inclusionAI_Ring-mini-2.0-GGUF | bartowski | 2025-10-20T22:01:43Z | 349 | 3 | null | [
"gguf",
"text-generation",
"base_model:inclusionAI/Ring-mini-2.0",
"base_model:quantized:inclusionAI/Ring-mini-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-20T20:23:16Z | ## Llamacpp imatrix Quantizations of Ring-mini-2.0 by inclusionAI
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/b6810">b6810</a> for quantization.
Original model: https://huggingface.co/inclusionAI/Ring-mini-2.0
All quants mad... | [] |
microsoft/git-large | microsoft | 2023-02-08T10:49:46Z | 558 | 18 | transformers | [
"transformers",
"pytorch",
"git",
"image-text-to-text",
"vision",
"image-captioning",
"image-to-text",
"en",
"arxiv:2205.14100",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-to-text | 2023-01-02T10:33:16Z | # GIT (GenerativeImage2Text), large-sized
GIT (short for GenerativeImage2Text) model, large-sized version. It was introduced in the paper [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14100) by Wang et al. and first released in [this repository](https://github.com/mic... | [] |
mradermacher/LocoOperator-4B-Swift-Balanced-GGUF | mradermacher | 2026-03-06T02:33:26Z | 469 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:FutureMa/LocoOperator-4B-Swift-Balanced",
"base_model:quantized:FutureMa/LocoOperator-4B-Swift-Balanced",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-06T02:00:06Z | ## 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": 391,
"text": "LocoOperator-4B-Swift-Balanced",
"label": "benchmark name",
"score": 0.6941613554954529
},
{
"start": 528,
"end": 563,
"text": "LocoOperator-4B-Swift-Balanced-GGUF",
"label": "benchmark name",
"score": 0.7285893559455872
},
{
"... |
OpenMed/OpenMed-PII-EuroMed-Large-210M-v1 | OpenMed | 2026-01-13T19:57:37Z | 4,322 | 1 | transformers | [
"transformers",
"safetensors",
"eurobert",
"token-classification",
"ner",
"pii",
"pii-detection",
"de-identification",
"privacy",
"healthcare",
"medical",
"clinical",
"phi",
"hipaa",
"pytorch",
"openmed",
"custom_code",
"en",
"dataset:nvidia/Nemotron-PII",
"base_model:EuroBERT/... | token-classification | 2026-01-13T19:57:20Z | # OpenMed-PII-EuroMed-210M-v1
**PII Detection Model** | 210M Parameters | Open Source
[]() []() []()
## Model Description
*... | [
{
"start": 161,
"end": 170,
"text": "Precision",
"label": "evaluation metric",
"score": 0.6782709360122681
},
{
"start": 1186,
"end": 1195,
"text": "Precision",
"label": "evaluation metric",
"score": 0.7790122032165527
},
{
"start": 1342,
"end": 1351,
"tex... |
OpenGVLab/InternVL3_5-14B-HF | OpenGVLab | 2025-09-08T10:00:21Z | 2,312 | 3 | transformers | [
"transformers",
"safetensors",
"internvl",
"image-text-to-text",
"custom_code",
"conversational",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"dataset:OpenGVLab/MMPR-Tiny",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2412.05271",
"arxiv:2411.10442",
"arxiv:2504.10479",
"arxiv:2508.... | image-text-to-text | 2025-08-29T13:16:54Z | # InternVL3_5-14B
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[📜 InternVL2.5-MPO\]](https://huggingface.co/pa... | [] |
mradermacher/Poe-8B-GLM5-Opus4.6-Sonnet4.5-Kimi-Grok-Gemini-3-pro-preview-HERETIC-i1-GGUF | mradermacher | 2026-03-15T16:51:29Z | 10,238 | 2 | transformers | [
"transformers",
"gguf",
"unsloth",
"fine-tuned",
"qwen3-vl",
"vision-language",
"grpo",
"en",
"base_model:Crownelius/Poe-8B-GLM5-Opus4.6-Sonnet4.5-Kimi-Grok-Gemini-3-pro-preview-HERETIC",
"base_model:quantized:Crownelius/Poe-8B-GLM5-Opus4.6-Sonnet4.5-Kimi-Grok-Gemini-3-pro-preview-HERETIC",
"lic... | null | 2026-02-28T11:30:31Z | ## 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": 672,
"end": 748,
"text": "Poe-8B-GLM5-Opus4.6-Sonnet4.5-Kimi-Grok-Gemini-3-pro-preview-HERETIC-i1-GGUF",
"label": "benchmark name",
"score": 0.6060157418251038
}
] |
batiai/gemma-4-E4B-it-GGUF | batiai | 2026-04-18T04:24:34Z | 2,079 | 3 | llama.cpp | [
"llama.cpp",
"gguf",
"gemma",
"gemma4",
"quantized",
"apple-silicon",
"ollama",
"batiai",
"on-device",
"vision",
"audio",
"multimodal",
"text-generation",
"en",
"ko",
"ja",
"zh",
"base_model:google/gemma-4-E4B-it",
"base_model:quantized:google/gemma-4-E4B-it",
"license:other",
... | text-generation | 2026-04-08T04:55:54Z | # Gemma 4 E4B-it GGUF — Quantized by BatiAI
<p align="center">
<a href="https://flow.bati.ai"><img src="https://img.shields.io/badge/BatiFlow-macOS%20AI%20Automation-blue?style=for-the-badge&logo=apple" alt="BatiFlow"></a>
<a href="https://ollama.com/batiai/gemma4-e4b"><img src="https://img.shields.io/badge/Ollama... | [] |
bartowski/zerofata_MS3.2-PaintedFantasy-Visage-v3-34B-GGUF | bartowski | 2025-08-26T17:15:59Z | 357 | 6 | null | [
"gguf",
"text-generation",
"base_model:zerofata/MS3.2-PaintedFantasy-Visage-v3-34B",
"base_model:quantized:zerofata/MS3.2-PaintedFantasy-Visage-v3-34B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-08-26T14:53:26Z | ## Llamacpp imatrix Quantizations of MS3.2-PaintedFantasy-Visage-v3-34B by zerofata
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/zerofata/MS3.2-PaintedF... | [] |
microsoft/MiniLM-L12-H384-uncased | microsoft | 2021-05-19T23:29:48Z | 31,682 | 108 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"arxiv:2002.10957",
"arxiv:1810.04805",
"license:mit",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | text-classification | 2022-03-02T23:29:05Z | ## MiniLM: Small and Fast Pre-trained Models for Language Understanding and Generation
MiniLM is a distilled model from the paper "[MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers](https://arxiv.org/abs/2002.10957)".
Please find the information about preprocessing, t... | [
{
"start": 917,
"end": 926,
"text": "SQuAD 2.0",
"label": "benchmark name",
"score": 0.8100873827934265
},
{
"start": 1025,
"end": 1034,
"text": "SQuAD 2.0",
"label": "benchmark name",
"score": 0.6688486337661743
}
] |
bartowski/Llama-3.1-Nemotron-70B-Instruct-HF-GGUF | bartowski | 2024-10-16T00:29:42Z | 5,233 | 104 | null | [
"gguf",
"nvidia",
"llama3.1",
"text-generation",
"en",
"dataset:nvidia/HelpSteer2",
"base_model:nvidia/Llama-3.1-Nemotron-70B-Instruct-HF",
"base_model:quantized:nvidia/Llama-3.1-Nemotron-70B-Instruct-HF",
"license:llama3.1",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2024-10-15T21:38:48Z | ## Llamacpp imatrix Quantizations of Llama-3.1-Nemotron-70B-Instruct-HF
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3901">b3901</a> for quantization.
Original model: https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Ins... | [] |
ReadyArt/Safeword-Casual-V1-12B-GGUF | ReadyArt | 2025-09-03T18:22:54Z | 431 | 16 | null | [
"gguf",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"base_model:ReadyArt/Safeword-Casual-V1-12B",
"base_model:quantized:ReadyArt/Safeword-Casual-V1-12B",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-02T00:12:50Z | <style>
body {
font-family: 'Quicksand', sans-serif;
background: linear-gradient(135deg, #e0e0e0 0%, #f0f0f0 100%);
color: #333 !important;
text-shadow: 0 0 3px rgba(224, 224, 224, 0.7);
margin: 0;
padding: 20px;
transition: all 0.5s ease;
}
.container {
min-width: 100%;
margin: 0 a... | [] |
BAAI/Bunny-v1_1-Llama-3-8B-V | BAAI | 2024-11-21T05:18:03Z | 148 | 37 | transformers | [
"transformers",
"safetensors",
"bunny-llama",
"text-generation",
"image-text-to-text",
"conversational",
"custom_code",
"arxiv:2402.11530",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2024-05-31T10:25:35Z | # Model Card
<p align="center">
<img src="./icon.png" alt="Logo" width="350">
</p>
📖 [Technical report](https://arxiv.org/abs/2402.11530) | 🏠 [Code](https://github.com/BAAI-DCAI/Bunny) | 🐰 [Demo](http://bunny.baai.ac.cn)
This is Bunny-v1.1-Llama-3-8B-V.
Bunny is a family of lightweight but powerful multimodal... | [] |
LaaLM/LaaLM-exp-v1-GGUF | LaaLM | 2026-02-18T20:11:40Z | 1,339 | 1 | transformers | [
"transformers",
"gguf",
"bash",
"linux",
"experimental",
"base_model:LaaLM/LaaLM-exp-v1",
"base_model:quantized:LaaLM/LaaLM-exp-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-20T19:49:42Z | # LaaLM-exp-v1-GGUF: Linux Terminal Emulation via Language Model
Quantized GGUF versions of [LaaLM-exp-v1](https://huggingface.co/LaaLM/LaaLM-exp-v1) - a revolutionary 3B parameter model that emulates a Linux terminal entirely through conversation.
## What is LaaLM?
**LaaLM (Linux as a Language Model)** is an experi... | [
{
"start": 1217,
"end": 1232,
"text": "benchmark tests",
"label": "evaluation metric",
"score": 0.7528364658355713
}
] |
FayeQuant/GLM-4.7-Flash-GPTQ-4bit | FayeQuant | 2026-02-15T14:53:17Z | 10,310 | 2 | transformers | [
"transformers",
"safetensors",
"glm4_moe_lite",
"text-generation",
"conversational",
"en",
"zh",
"arxiv:2508.06471",
"base_model:zai-org/GLM-4.7-Flash",
"base_model:quantized:zai-org/GLM-4.7-Flash",
"license:mit",
"endpoints_compatible",
"4-bit",
"gptq",
"region:us"
] | text-generation | 2026-02-07T15:49:46Z | # FayeQuant/GLM-4.7-Flash-GPTQ-4bit
## Description
This repo contains GPTQ model files for [zai-org/GLM-4.7-Flash](https://huggingface.co/zai-org/GLM-4.7-Flash).
### Performances on Benchmarks
| Benchmark | GLM-4.7-Flash | QuantTrio/GLM-4.7-Flash-AWQ | GLM-4.7-Flash-GPTQ-4bit | Qwen3-30B-A3B-Thinking-2507... | [
{
"start": 221,
"end": 234,
"text": "GLM-4.7-Flash",
"label": "benchmark name",
"score": 0.701295793056488
}
] |
lightseekorg/kimi-k2.5-eagle3 | lightseekorg | 2026-03-16T04:44:49Z | 8,402 | 2 | null | [
"safetensors",
"llama",
"speculative-decoding",
"eagle3",
"draft-model",
"kimi-k2.5",
"base_model:moonshotai/Kimi-K2.5",
"base_model:finetune:moonshotai/Kimi-K2.5",
"license:mit",
"region:us"
] | null | 2026-03-06T02:48:56Z | ## Model Overview
**kimi-k2.5-eagle3** is an Eagle3 MTP draft model for accelerating inference of [Kimi-K2.5](https://huggingface.co/moonshotai/Kimi-K2.5), trained with **[TorchSpec](https://github.com/torchspec-project/TorchSpec)** — an online speculative decoding training framework that runs FSDP training and infere... | [] |
JorgeVanco/diffusionGPT | JorgeVanco | 2026-02-03T20:50:52Z | 154 | 1 | transformers | [
"transformers",
"safetensors",
"modernbert",
"fill-mask",
"text-diffusion",
"discrete-diffusion",
"pytorch",
"mdlm",
"seed-diffusion",
"generative-ai",
"text-generation",
"conversational",
"en",
"arxiv:2508.02193",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-30T02:05:36Z | # diffusionGPT
[**GitHub Repository**](https://github.com/JorgeVanco/diffusionGPT) | [**Model License: MIT**](https://opensource.org/licenses/MIT)
DiffusionGPT is a **Discrete Diffusion Language Model (MDLM)** fine-tuned for conversational AI. Unlike traditional autoregressive models (like GPT-4 or Llama) that predic... | [] |
zhibinlan/UME-R1-2B | zhibinlan | 2025-11-10T02:10:02Z | 2,552 | 5 | transformers | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"Sentence Similarity",
"Embedding",
"zero-shot-image-classification",
"video-text-to-text",
"conversational",
"en",
"arxiv:2511.00405",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
... | image-text-to-text | 2025-09-29T07:23:42Z | # UME-R1-2B
## Model Summary
The model has undergone a cold-start SFT stage and an RL stage of training, and is capable of embedding text, images, multiple images, and videos. In particular, UME-R1 can generate either discriminative or generative embeddings as needed, and the generative embeddings possess the potenti... | [] |
SaladTechnologies/fable-base | SaladTechnologies | 2025-09-09T17:56:55Z | 173 | 1 | null | [
"safetensors",
"deberta-v2",
"token-classification",
"en",
"dataset:SaladTechnologies/fiction-ner-750m",
"arxiv:1910.09700",
"base_model:microsoft/deberta-v3-base",
"base_model:finetune:microsoft/deberta-v3-base",
"license:mit",
"region:us"
] | token-classification | 2025-08-27T11:28:23Z | # FABLE - Fiction Adapted BERT for Literary Entities
This is a named-entity recognition (NER) model called FABLE, which stands for Fiction Adapted BERT for Literary Entities. It is based on the DeBERTa v3 architecture and has been fine-tuned on the [Fiction-NER-750M dataset](https://huggingface.co/datasets/SaladTechno... | [] |
WYNN747/Burmese-GPT | WYNN747 | 2026-04-12T19:08:32Z | 512 | 10 | transformers | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"burmese-gpt ",
"myanmar-gpt",
"burmese-llm",
"myanmar-llm",
"llm",
"my",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-01-05T05:49:02Z | ## Model Description (Burmese-GPT)
Burmese-GPT is a Burmese language foundation model created by Dr. Wai Yan Nyein Naing, a Myanmar AI researcher focused on low-resource language AI. It is designed for Burmese text generation and completion, and serves as a base model for downstream Burmese NLP applications.
**How to ... | [] |
EricRollei/HunyuanImage-3.0-Instruct-INT8-v2 | EricRollei | 2026-02-22T00:18:39Z | 261 | 1 | transformers | [
"transformers",
"safetensors",
"Hunyuan",
"text-generation",
"hunyuan",
"quantization",
"int8",
"comfyui",
"custom-nodes",
"autoregressive",
"DiT",
"HunyuanImage-3.0",
"instruct",
"image-editing",
"bitsandbytes",
"text-to-image",
"custom_code",
"base_model:tencent/HunyuanImage-3.0-... | text-to-image | 2026-02-21T07:17:50Z | # Hunyuan Image 3.0 Instruct -- INT8 Quantized (v2)
INT8 quantization of the HunyuanImage-3.0 Instruct model (v2). Supports text-to-image, image editing, multi-image fusion, and Chain-of-Thought prompt enhancement (recaption/think_recaption).
## What's New in v2
v2 uses improved quantization with more precise ... | [] |
yeoj34760/translategemma-27b-it-Q4_K_M-GGUF | yeoj34760 | 2026-01-16T02:22:01Z | 116 | 1 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"base_model:google/translategemma-27b-it",
"base_model:quantized:google/translategemma-27b-it",
"license:gemma",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-01-16T02:19:35Z | # yeoj34760/translategemma-27b-it-Q4_K_M-GGUF
This model was converted to GGUF format from [`google/translategemma-27b-it`](https://huggingface.co/google/translategemma-27b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card]... | [] |
squirrelae/Z-Image-Turbo-GGUF | squirrelae | 2026-03-21T16:28:34Z | 151 | 1 | null | [
"gguf",
"text-to-image",
"image-generation",
"base_model:Tongyi-MAI/Z-Image-Turbo",
"base_model:quantized:Tongyi-MAI/Z-Image-Turbo",
"license:apache-2.0",
"region:us"
] | text-to-image | 2026-03-21T16:28:33Z | Quantized GGUF versions of the [Z-Image Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) by Tongyi-Mai.
### 📂 Available Models
| Model | Download |
|--------|--------------|
| Z-Image Turbo GGUF | [Download](https://huggingface.co/jayn7/Z-Image-Turbo-GGUF/tree/main) |
| Qwen3-4B (Text Encoder) | [unsloth/Qwen3-... | [] |
mradermacher/gpt-oss-20b-multilingual-reasoner-i1-GGUF | mradermacher | 2025-12-16T02:59:39Z | 138 | 1 | transformers | [
"transformers",
"gguf",
"generated_from_trainer",
"trl",
"sft",
"en",
"dataset:HuggingFaceH4/Multilingual-Thinking",
"base_model:xxrjun/gpt-oss-20b-multilingual-reasoner",
"base_model:quantized:xxrjun/gpt-oss-20b-multilingual-reasoner",
"endpoints_compatible",
"region:us",
"imatrix",
"conver... | null | 2025-08-20T20:51:56Z | ## 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... | [] |
mradermacher/LexiFreak-8B-Unleashed-GGUF | mradermacher | 2025-10-04T20:34:17Z | 123 | 1 | transformers | [
"transformers",
"gguf",
"llama3",
"roleplay",
"uncensored",
"finetune",
"brainrot",
"en",
"base_model:soundTeam/LexiFreak-8B-Unleashed",
"base_model:quantized:soundTeam/LexiFreak-8B-Unleashed",
"license:llama3",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-04T19:18:56Z | ## 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... | [] |
n0ctyx/Qwen3.5-27B-Instruct-Uncensored | n0ctyx | 2026-03-31T10:15:24Z | 1,616 | 2 | null | [
"gguf",
"uncensored",
"abliteration",
"qwen3.5",
"qwen",
"en",
"zh",
"multilingual",
"base_model:Qwen/Qwen3.5-27B",
"base_model:quantized:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-29T20:28:49Z | 
# Qwen3.5-27B-Instruct Uncensored
An uncensored version of [Qwen3.5-27B](https://huggingface.co/Qwen/Qwen3.5-27B) with safety refusals removed via directional abliteration, while preserving the original ... | [
{
"start": 118,
"end": 138,
"text": "Qwen3.5-27B-Instruct",
"label": "benchmark name",
"score": 0.7135663032531738
},
{
"start": 177,
"end": 188,
"text": "Qwen3.5-27B",
"label": "benchmark name",
"score": 0.8164217472076416
},
{
"start": 218,
"end": 229,
"... |
lmstudio-community/LFM2-VL-1.6B-GGUF | lmstudio-community | 2025-08-20T19:10:12Z | 104 | 1 | null | [
"gguf",
"image-text-to-text",
"base_model:LiquidAI/LFM2-VL-1.6B",
"base_model:quantized:LiquidAI/LFM2-VL-1.6B",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-08-20T15:20:12Z | ## 💫 Community Model> LFM2 VL 1.6B by Liquidai
*👾 [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:** [LiquidAI](https://huggingface.co/LiquidAI)<br>
**Orig... | [] |
google/metricx-24-hybrid-large-v2p6-bfloat16 | google | 2024-12-12T16:37:12Z | 4,251 | 2 | null | [
"pytorch",
"mt5",
"license:apache-2.0",
"region:us"
] | null | 2024-12-11T05:10:28Z | # MetricX-24 (Large, bfloat16)
*This is not an officially supported Google product.*
> ℹ️ For the full-precision (float32) variant of this model, see [MetricX-24 (Large)](https://huggingface.co/google/metricx-24-hybrid-large-v2p6).
**GitHub repository**: https://github.com/google-research/metricx
The repository con... | [
{
"start": 2,
"end": 12,
"text": "MetricX-24",
"label": "evaluation metric",
"score": 0.6561400890350342
},
{
"start": 153,
"end": 163,
"text": "MetricX-24",
"label": "evaluation metric",
"score": 0.6125543713569641
},
{
"start": 504,
"end": 514,
"text": "... |
Otakadelic/mergekit-model_stock-prczfmj-Q4_K_M-GGUF | Otakadelic | 2025-05-14T04:21:01Z | 103 | 7 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:mergekit-community/mergekit-model_stock-prczfmj",
"base_model:quantized:mergekit-community/mergekit-model_stock-prczfmj",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-05-14T04:19:50Z | # Otakadelic/mergekit-model_stock-prczfmj-Q4_K_M-GGUF
This model was converted to GGUF format from [`mergekit-community/mergekit-model_stock-prczfmj`](https://huggingface.co/mergekit-community/mergekit-model_stock-prczfmj) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-r... | [] |
manycore-research/SpatialLM1.1-Qwen-0.5B | manycore-research | 2025-09-23T03:01:55Z | 3,027 | 26 | transformers | [
"transformers",
"safetensors",
"spatiallm_qwen",
"text-generation",
"conversational",
"arxiv:2506.07491",
"base_model:Qwen/Qwen2.5-0.5B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-0.5B-Instruct",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-06-06T06:18:54Z | # SpatialLM1.1-Qwen-0.5B
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<picture>
<source srcset="https://cdn-uploads.huggingface.co/production/uploads/63efbb1efc92a63ac81126d0/_dK14CT3do8rBG3QrHUjN.png" media... | [] |
mradermacher/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Lite-Preview-Distill-Heretic-Abliterated-GGUF | mradermacher | 2025-12-12T16:34:25Z | 140 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"en",
"base_model:DavidAU/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Lite-Preview-Distill-Heretic-Abliterated",
"base_model:quantized:DavidAU/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Lite-Preview-Distill-Heretic-... | null | 2025-12-12T16:15:15Z | ## 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/Huihui-Qwen3-4B-abliterated-v2-GGUF | mradermacher | 2025-07-31T03:25:30Z | 3,378 | 10 | transformers | [
"transformers",
"gguf",
"chat",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-Qwen3-4B-abliterated-v2",
"base_model:quantized:huihui-ai/Huihui-Qwen3-4B-abliterated-v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-06-19T12:57:18Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/huihui-ai/Huihui-Qwen3-4B-abliterated-v2
<!-- provided-files -->
***For a convenient overview and download list, visit ... | [] |
Qwen/Qwen3-TTS-Tokenizer-12Hz | Qwen | 2026-01-29T08:01:28Z | 68,011 | 53 | null | [
"safetensors",
"qwen3_tts_tokenizer_12hz",
"audio",
"tts",
"speech",
"codec",
"audio-to-audio",
"arxiv:2601.15621",
"license:apache-2.0",
"region:us"
] | audio-to-audio | 2026-01-21T08:56:20Z | ---
# Qwen3-TTS-Tokenizer-12Hz
This repository contains the **Qwen3-TTS-Tokenizer-12Hz**, as presented in the paper [Qwen3-TTS Technical Report](https://huggingface.co/papers/2601.15621).
Qwen3-TTS-Tokenizer-12Hz achieves extreme bitrate reduction and ultra-low-latency streaming, enabling immediate first-packet emis... | [] |
mistralai/Mistral-Small-4-119B-2603-eagle | mistralai | 2026-04-27T15:33:15Z | 266 | 48 | null | [
"vLLM",
"en",
"fr",
"de",
"es",
"pt",
"it",
"ja",
"ko",
"ru",
"zh",
"ar",
"fa",
"id",
"ms",
"ne",
"pl",
"ro",
"sr",
"sv",
"tr",
"uk",
"vi",
"hi",
"bn",
"base_model:mistralai/Mistral-Small-4-119B-2603",
"base_model:finetune:mistralai/Mistral-Small-4-119B-2603",
"... | null | 2026-03-04T16:38:14Z | # Mistral Small 4 119B A6B Eagle
Mistral Small 4 is a powerful hybrid model capable of acting as both a general instruction model and a reasoning model. It unifies the capabilities of three different model families—**Instruct**, **Reasoning** (previously called Magistral), and **Devstral**—into a single, unified model... | [] |
Datdanboi25/GPT-X-125m-15bt | Datdanboi25 | 2026-03-26T02:41:10Z | 343 | 1 | transformers | [
"transformers",
"safetensors",
"gptx",
"text-generation",
"language-model",
"transformer",
"rope",
"swiglu",
"gqa",
"custom-architecture",
"custom_code",
"en",
"dataset:HuggingFaceFW/fineweb-edu",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-03-23T08:59:29Z | # GPT-X-125M-15BT
A modern Llama-style language model trained from scratch. 125M parameters, 15B tokens of FineWeb-Edu. **Outperforms GPT-3 (125M) on HellaSwag using 20x less training data.**
## Results
| Benchmark | GPT-X (15BT) | GPT-2 (124M) | GPT-2 Medium (355M) | GPT-3 (125M) |
|---|---|---|---|---|
| HellaSwag... | [
{
"start": 151,
"end": 160,
"text": "HellaSwag",
"label": "benchmark name",
"score": 0.7393064498901367
},
{
"start": 311,
"end": 320,
"text": "HellaSwag",
"label": "benchmark name",
"score": 0.7953307032585144
},
{
"start": 1299,
"end": 1305,
"text": "Swi... |
ubergarm/MiniMax-M2.7-GGUF | ubergarm | 2026-04-15T04:39:55Z | 1,774 | 16 | null | [
"gguf",
"imatrix",
"conversational",
"minimax_m2",
"ik_llama.cpp",
"text-generation",
"base_model:MiniMaxAI/MiniMax-M2.7",
"base_model:quantized:MiniMaxAI/MiniMax-M2.7",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-12T13:58:28Z | ## `ik_llama.cpp` imatrix Quantizations of MiniMaxAI/MiniMax-M2.7
*NOTE* `ik_llama.cpp` can also run your existing GGUFs from bartowski, unsloth, mradermacher, etc if you want to try it out before downloading my quants.
Some of ik's new quants are supported with [Nexesenex/croco.cpp](https://github.com/Nexesenex/croco... | [] |
ncky/TimeCapsuleLLM-v2-llama-1.2B-GGUF | ncky | 2026-02-14T07:40:22Z | 137 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"llama",
"historical",
"en",
"dataset:postgrammar/london-llm-1800",
"base_model:haykgrigorian/TimeCapsuleLLM-v2-llama-1.2B",
"base_model:quantized:haykgrigorian/TimeCapsuleLLM-v2-llama-1.2B",
"license:mit",
"endpoints_compatible",
"region:us... | null | 2026-02-14T07:17:09Z | ## About
static and imatrix-assisted GGUF quants of https://huggingface.co/haykgrigorian/TimeCapsuleLLM-v2-llama-1.2B.
Generated with `llama.cpp` build `8044` (`91ea5d67f`).
`IQ4_XS` was quantized with an imatrix generated on 19th-century public-domain English text.
Note: this model has FFN dimensions (`5504`) not ... | [] |
bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3 | bluejude10 | 2026-03-01T09:03:49Z | 336 | 1 | null | [
"safetensors",
"gguf",
"qwen3",
"korean",
"self-driving",
"legal",
"qlora",
"fine-tuned",
"rag",
"experimental",
"ko",
"base_model:dnotitia/Smoothie-Qwen3-8B",
"base_model:quantized:dnotitia/Smoothie-Qwen3-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversationa... | null | 2026-02-21T13:41:16Z | # Smoothie-Qwen3-8B-KR-Self-Driving-Legal v3
## 자율주행법령 도메인 파인튜닝 + RAG 실험 최종 결과 보고서
> **본 문서는 2026-02-24 재검토를 통해 초기 README의 중대한 오류를 수정한 최종판입니다.**
---
## ⚠️ 정정(Errata) 공지
기존 업로드된 v3 README에는 **평가 결과 라벨 매핑 오류**가 포함되어 있었습니다.
- **원본 README 주장**: FT 모델 86.7%, 순정 모델 40.7% (FT 압도적 우위)
- **실제 평가 결과**: FT 모델... | [] |
ruslanmv/Medical-Llama3-8B | ruslanmv | 2024-05-15T08:53:33Z | 946 | 106 | transformers | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"text-generation-inference",
"ruslanmv",
"trl",
"llama-3",
"instruct",
"finetune",
"chatml",
"DPO",
"RLHF",
"gpt4",
"distillation",
"heathcare",
"medical",
"clinical",
"med",
"lifescience",
"Pharmaceutica... | text-generation | 2024-04-21T21:07:19Z | # Medical-Llama3-8B-16bit: Fine-Tuned Llama3 for Medical Q&A
[](https://ruslanmv.com/)
This repository provides a fine-tuned version of the powerful Llama3 8B model, specifically designed to answer medical questions in an informative way. It leverages the rich knowledge contained in the AI Medical Chatbo... | [] |
MiniMaxAI/MiniMax-M2.5 | MiniMaxAI | 2026-03-10T13:42:23Z | 507,088 | 1,285 | transformers | [
"transformers",
"safetensors",
"minimax_m2",
"text-generation",
"conversational",
"custom_code",
"license:other",
"eval-results",
"endpoints_compatible",
"fp8",
"deploy:azure",
"region:us"
] | text-generation | 2026-02-12T06:05:24Z | <div align="center">
<svg width="60%" height="auto" viewBox="0 0 144 48" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M26.6782 7.96523C26.6782 7.02436 25.913 6.26087 24.9739 6.26087C24.0348 6.26087 23.2695 7.0261 23.2695 7.96523V36.2139C23.2695 38.4 21.4904 40.1791 19.3043 40.1791C17.1183 40.1791 15.3391 3... | [] |
nineninesix/kani-tts-400m-de | nineninesix | 2026-02-18T01:40:22Z | 207 | 2 | transformers | [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"text-to-speech",
"de",
"arxiv:2501.15907",
"arxiv:2506.09827",
"base_model:nineninesix/kani-tts-400m-0.3-pt",
"base_model:finetune:nineninesix/kani-tts-400m-0.3-pt",
"license:other",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2025-10-25T18:34:56Z | <p>
<img src="https://cdn-uploads.huggingface.co/production/uploads/64fab67bd268b2f1ad8a826b/Ki5aExt7SmQwHYLuGyLdc.png" alt="Logo" width="200" height="200">
</p>
# KaniTTS German
[](https://discord.gg/NzP3rjB4SB) [![License](https://... | [] |
notapalindrome/ltx2-mlx-av | notapalindrome | 2026-01-29T09:10:11Z | 1,366 | 2 | mlx | [
"mlx",
"safetensors",
"AudioVideo",
"video-generation",
"audio-generation",
"apple-silicon",
"text-to-video",
"image-to-video",
"ltx-2",
"ltx",
"base_model:Lightricks/LTX-2",
"base_model:finetune:Lightricks/LTX-2",
"license:mit",
"region:us"
] | image-to-video | 2026-01-29T08:59:27Z | # LTX-2 MLX (Audio-Video)
MLX-optimized version of [Lightricks/LTX-2](https://huggingface.co/Lightricks/LTX-2) for Apple Silicon Macs.
Generate synchronized video and audio from text prompts, running entirely on your Mac's GPU.
## Features
- **Text-to-Video + Audio**: Generate videos with synchronized audio from te... | [] |
tvall43/Qwen3.5-35B-A3B-heretic-mxfp4-gguf | tvall43 | 2026-02-27T04:54:26Z | 13,348 | 8 | transformers | [
"transformers",
"safetensors",
"gguf",
"qwen3_5_moe",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"base_model:brayniac/Qwen3.5-35B-A3B-heretic",
"base_model:quantized:brayniac/Qwen3.5-35B-A3B-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us... | image-text-to-text | 2026-02-26T00:42:42Z | # mxfp4 quant of https://huggingface.co/brayniac/Qwen3.5-35B-A3B-heretic
# This is a decensored version of a model, made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 20.06 |
| **linear_attn.out_proj.max_weight*... | [
{
"start": 129,
"end": 136,
"text": "Heretic",
"label": "benchmark name",
"score": 0.6674591302871704
},
{
"start": 163,
"end": 170,
"text": "heretic",
"label": "benchmark name",
"score": 0.6714363098144531
},
{
"start": 335,
"end": 375,
"text": "linear_at... |
RepublicOfKorokke/GLM-4.7-Flash-REAP-23B-A3B-oQ4 | RepublicOfKorokke | 2026-03-30T15:58:23Z | 453 | 1 | mlx | [
"mlx",
"safetensors",
"glm4_moe_lite",
"glm",
"MOE",
"pruning",
"compression",
"oq",
"quantized",
"text-generation",
"conversational",
"en",
"base_model:cerebras/GLM-4.7-Flash-REAP-23B-A3B",
"base_model:quantized:cerebras/GLM-4.7-Flash-REAP-23B-A3B",
"license:mit",
"4-bit",
"region:u... | text-generation | 2026-03-24T17:21:47Z | # GLM-4.7-Flash-REAP-23B-A3B-oQ4
This model was quantized using [oQ](https://github.com/jundot/omlx) mixed-precision quantization.
## Quantization details
- **Model type**: glm4_moe_lite
- **Bits**: 4
- **Group size**: 64
- **Format**: MLX safetensors
-
# Benchmark
| Model ... | [
{
"start": 366,
"end": 375,
"text": "HELLASWAG",
"label": "benchmark name",
"score": 0.6632916331291199
},
{
"start": 386,
"end": 399,
"text": "ARC_CHALLENGE",
"label": "benchmark name",
"score": 0.8012651801109314
}
] |
deepseek-ai/DeepSeek-V3 | deepseek-ai | 2025-03-27T04:01:45Z | 925,090 | 4,016 | transformers | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"conversational",
"custom_code",
"arxiv:2412.19437",
"eval-results",
"text-generation-inference",
"endpoints_compatible",
"fp8",
"region:us"
] | text-generation | 2024-12-25T12:52:23Z | <!-- 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 align="center" style="line-... | [] |
xmj2002/hubert-base-ch-speech-emotion-recognition | xmj2002 | 2023-05-16T02:27:14Z | 45,851 | 50 | transformers | [
"transformers",
"pytorch",
"hubert",
"audio-classification",
"zh",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | audio-classification | 2023-05-15T06:57:09Z | # hubert-base-ch-speech-emotion-recognition
This model uses [TencentGameMate/chinese-hubert-base]([TencentGameMate/chinese-hubert-base · Hugging Face](https://huggingface.co/TencentGameMate/chinese-hubert-base)) as the pre-training model for training on the CASIA dataset.
The CASIA dataset provides 1200 samples of rec... | [] |
kshitizz36/provn-gemma4-e2b-q4km | kshitizz36 | 2026-04-13T11:29:13Z | 598 | 1 | gguf | [
"gguf",
"gemma",
"provn",
"security",
"code",
"llama-cpp",
"fine-tuned",
"unsloth",
"text-classification",
"en",
"license:gemma",
"endpoints_compatible",
"region:us"
] | text-classification | 2026-04-08T05:46:58Z | # Provn Gemma 4 E2B Q4_K_M
This repository contains the GGUF Layer 3 semantic classifier used by [Provn](https://github.com/kshitizz36/Provn).
It is a fine-tuned Gemma 4 derivative for binary leak classification on code snippets:
- `leak`
- `clean`
## Training
Fine-tuned using [Unsloth](https://github.com/unslothai... | [
{
"start": 8,
"end": 19,
"text": "Gemma 4 E2B",
"label": "benchmark name",
"score": 0.7875521183013916
},
{
"start": 57,
"end": 61,
"text": "GGUF",
"label": "benchmark name",
"score": 0.693096399307251
},
{
"start": 420,
"end": 431,
"text": "Gemma 4 E2B",
... |
mradermacher/Qwen3-4B-SafeRL-i1-GGUF | mradermacher | 2025-12-09T23:53:49Z | 463 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Qwen/Qwen3-4B-SafeRL",
"base_model:quantized:Qwen/Qwen3-4B-SafeRL",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-01T12:38:36Z | ## 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": 612,
"end": 635,
"text": "Qwen3-4B-SafeRL-i1-GGUF",
"label": "benchmark name",
"score": 0.6360105872154236
}
] |
nvidia/DeepSeek-R1-0528-NVFP4 | nvidia | 2025-08-22T17:42:23Z | 4,616 | 43 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"deepseek_v3",
"nvidia",
"ModelOpt",
"DeepSeekR1",
"quantized",
"FP4",
"text-generation",
"conversational",
"custom_code",
"base_model:deepseek-ai/DeepSeek-R1-0528",
"base_model:finetune:deepseek-ai/DeepSeek-R1-0528",
"license:mit",
"8-bit",
"region:us... | text-generation | 2025-06-03T23:56:23Z | # Model Overview
## Description:
The NVIDIA DeepSeek-R1-0528-FP4 model is the quantized version of the DeepSeek AI's DeepSeek R1 0528 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/deepseek-ai/DeepSeek-... | [] |
darkmaniac7/Josiefied-Qwen3.5-0.8B-gabliterated-v1-MNN | darkmaniac7 | 2026-04-10T17:07:30Z | 100 | 2 | null | [
"mnn",
"qwen3.5",
"mobile",
"on-device",
"tokforge",
"uncensored",
"abliterated",
"text-generation",
"en",
"base_model:Goekdeniz-Guelmez/Josiefied-Qwen3.5-0.8B-gabliterated-v1",
"base_model:finetune:Goekdeniz-Guelmez/Josiefied-Qwen3.5-0.8B-gabliterated-v1",
"license:apache-2.0",
"region:us"
... | text-generation | 2026-03-31T21:52:31Z | # Josiefied-Qwen3.5-0.8B-gabliterated-v1-MNN
Pre-converted [Josiefied-Qwen3.5-0.8B-gabliterated-v1](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3.5-0.8B-gabliterated-v1) in MNN format for on-device inference with [TokForge](https://tokforge.ai).
> **Original model by [Goekdeniz-Guelmez](https://huggingface... | [] |
neosophie/Qwen3-ASR-1.7B-JA | neosophie | 2026-04-29T07:16:55Z | 104 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_asr",
"text-generation",
"automatic-speech-recognition",
"asr",
"japanese",
"qwen3-asr",
"speech",
"audio",
"ja",
"en",
"base_model:Qwen/Qwen3-ASR-1.7B",
"base_model:finetune:Qwen/Qwen3-ASR-1.7B",
"license:apache-2.0",
"endpoints_compatible",
"re... | automatic-speech-recognition | 2026-04-23T06:08:07Z | # Japanese Proper-Noun Fine-tuned Qwen3-ASR
A fine-tuned checkpoint of [`Qwen/Qwen3-ASR-1.7B`](https://huggingface.co/Qwen/Qwen3-ASR-1.7B) optimized for Japanese automatic speech recognition.
This variant is specifically trained to improve recognition of Japanese proper nouns, organization names, product names, servi... | [
{
"start": 1271,
"end": 1290,
"text": "Qwen/Qwen3-ASR-1.7B",
"label": "benchmark name",
"score": 0.6350929737091064
}
] |
Qiskit/mistral-small-3.2-24b-qiskit | Qiskit | 2026-02-03T14:14:22Z | 174 | 7 | transformers | [
"transformers",
"safetensors",
"mistral3",
"image-text-to-text",
"code",
"mistral-common",
"quantum",
"qiskit",
"Mistral-Small-3.2-24B-Qiskit",
"text-generation",
"conversational",
"en",
"base_model:mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"base_model:finetune:mistralai/Mistral-Smal... | text-generation | 2025-10-08T09:39:19Z | 
# Mistral-Small-3.2-24B-Qiskit
## Introduction
Mistral-Small-3.2-24B-Qiskit is a model specialized in Qiskit coding and based on the Mistral-Small-3.2-24B-Instruct-2506 model. Wit... | [] |
ddwang2000/EmotionThinker | ddwang2000 | 2026-02-12T10:37:19Z | 677 | 1 | null | [
"safetensors",
"qwen2_5_omni",
"en",
"arxiv:2601.15668",
"base_model:Qwen/Qwen2.5-Omni-7B",
"base_model:finetune:Qwen/Qwen2.5-Omni-7B",
"license:apache-2.0",
"region:us"
] | null | 2026-02-12T09:37:46Z | # EmotionThinker: Prosody-Aware Reinforcement Learning for Explainable Speech Emotion Reasoning
[](https://arxiv.org/pdf/2601.15668) [](https://github.com/dingdongwang/EmotionThinker)
<p al... | [] |
LuffyTheFox/FernflowerAI-27B-Uncensored-RYS-KL-ReLU-GGUF | LuffyTheFox | 2026-04-14T09:26:33Z | 205 | 2 | null | [
"gguf",
"qwen3.5",
"uncensored",
"RYS",
"GGUF",
"coding",
"reasoning",
"imatrix",
"text-generation",
"en",
"base_model:HauhauCS/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive",
"base_model:quantized:HauhauCS/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive",
"license:apache-2.0",
"endpoints_compatib... | text-generation | 2026-04-13T05:18:18Z | # This is [Qwen3.5-27B-Uncensored-RYS-Reasoner-GGUF](https://huggingface.co/jackasda211233/Qwen3.5-27B-Uncensored-RYS-Reasoner-GGUF) made by [jackasda211233](https://huggingface.co/jackasda211233) with repaired tensors.
Repair by me. Repair method: Sig-ScaleSync-KL-ReLU.
Quantization script available here: https://p... | [
{
"start": 557,
"end": 559,
"text": "C2",
"label": "evaluation metric",
"score": 0.625292956829071
},
{
"start": 750,
"end": 751,
"text": "α",
"label": "evaluation metric",
"score": 0.8089931607246399
},
{
"start": 802,
"end": 803,
"text": "D",
"label"... |
apple/OpenELM-1_1B-Instruct | apple | 2025-02-28T18:31:24Z | 1,551,160 | 74 | transformers | [
"transformers",
"safetensors",
"openelm",
"text-generation",
"custom_code",
"arxiv:2404.14619",
"license:apple-amlr",
"region:us"
] | text-generation | 2024-04-12T21:52:12Z | # OpenELM
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
We introduce **OpenELM**, a family of **Open** **E**fficient **L**anguage **M**odels. OpenELM uses a layer-wise scaling strategy ... | [] |
MeiGen-AI/InfiniteTalk | MeiGen-AI | 2025-09-04T08:01:03Z | 12,043 | 229 | infinitetalk | [
"infinitetalk",
"en",
"zh",
"license:apache-2.0",
"region:us"
] | null | 2025-08-18T08:45:40Z | <p align="center">
<img src="assets/logo2.jpg" alt="InfiniteTalk" width="500"/>
</p>
# InfiniteTalk: Audio-driven Video Generation for Sparse-Frame Video Dubbing
<p align="left">
<a href="">
<img
src="https://img.shields.io/badge/InfiniteTalk-Website-0A66C2?logo=safari&logoColor=white" style="display: i... | [] |
UnstableLlama/Qwen3.5-0.8B-exl3-8.00bpw | UnstableLlama | 2026-04-04T20:07:03Z | 215 | 2 | null | [
"safetensors",
"qwen3_5",
"exl3",
"base_model:Qwen/Qwen3.5-0.8B",
"base_model:quantized:Qwen/Qwen3.5-0.8B",
"license:apache-2.0",
"8-bit",
"region:us"
] | null | 2026-03-03T04:25:08Z | <style>
@import url('https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;700&family=Inter:wght@400;700&display=swap');
.dashboard-container {
font-family: 'Inter', sans-serif;
width: min(1500px, calc(100vw - 32px));
max-width: 100%;
margin: 0 auto;
box-sizing: border-box;
backg... | [] |
squaredcuber/Cybus-Qwen3-32B-v2-agentic | squaredcuber | 2026-04-08T13:36:43Z | 353 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"roblox",
"luau",
"code-generation",
"tool-use",
"conversational",
"base_model:Qwen/Qwen3-32B",
"base_model:finetune:Qwen/Qwen3-32B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-01T23:34:15Z | # Cybus-Qwen3-32B-v2-agentic
A 32B parameter model specialized for Roblox Luau code generation and agentic tool use in Roblox Studio environments.
This is an early experimental checkpoint in the Cybus series. A more capable successor is in development.
## Model Details
- **Base model**: [Qwen/Qwen3-32B](https://hug... | [] |
LiquidAI/LFM2.5-1.2B-Instruct-MLX-8bit | LiquidAI | 2026-03-30T13:50:45Z | 2,216 | 14 | mlx | [
"mlx",
"safetensors",
"lfm2",
"liquid",
"lfm2.5",
"edge",
"text-generation",
"conversational",
"en",
"ja",
"ko",
"fr",
"es",
"de",
"it",
"pt",
"ar",
"zh",
"base_model:LiquidAI/LFM2.5-1.2B-Instruct",
"base_model:quantized:LiquidAI/LFM2.5-1.2B-Instruct",
"license:other",
"8-b... | text-generation | 2026-01-06T02:37:08Z | <div align="center">
<img
src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png"
alt="Liquid AI"
style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
/>
<div style="display: flex; ... | [] |
bosonai/higgs-audio-v3-stt | bosonai | 2026-04-21T16:30:59Z | 425 | 9 | null | [
"safetensors",
"higgs_audio_3",
"automatic-speech-recognition",
"hf-asr-leaderboard",
"whisper",
"qwen",
"custom_code",
"en",
"license:apache-2.0",
"model-index",
"region:us"
] | automatic-speech-recognition | 2026-03-25T18:39:22Z | # Higgs Audio v3 STT
A speech-to-text model combining a Whisper-Large-v3 encoder with a Qwen3 decoder (2.68B total parameters).
## Usage
**Important:** This model uses a custom architecture. You must pass `trust_remote_code=True` when loading.
```python
import torch
from transformers import AutoConfig, AutoModel, A... | [] |
techwithsergiu/Qwen3.5-9B-bnb-4bit | techwithsergiu | 2026-03-17T16:43:32Z | 1,183 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"techwithsergiu",
"conversational",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"bitsandbytes",
"region:us"
] | image-text-to-text | 2026-03-05T19:52:45Z | # Qwen3.5-9B-bnb-4bit
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
BNB NF4 4-bit quantization of [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B).
Retains the full visual tower — this is a **VLM-capable** model (image + text input).
Primary use-case: Unsloth LoR... | [] |
ZERO-POINT-INTELLIGENCE-LTD/MARTHA-9B-Qwen3.5-Omni | ZERO-POINT-INTELLIGENCE-LTD | 2026-04-06T16:37:28Z | 2,344 | 12 | transformers | [
"transformers",
"gguf",
"qwen3_5",
"image-text-to-text",
"vision",
"multimodal",
"qwen3.5",
"omni",
"safetensors",
"conversational",
"en",
"zh",
"multilingual",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"regi... | image-text-to-text | 2026-03-13T00:31:56Z | # MARTHA-9B-Qwen3.5-Omni
**Vision + Language AI — sees images, reads text, answers everything.**
Built by [Zero Point Intelligence Ltd](https://zeropointai.uk), Dundee, Scotland 🏴
---
## What Is This?
This is a 9B parameter AI model that can:
- **See and describe images** (photos, screenshots, diagram... | [] |
mradermacher/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-heretic-GGUF | mradermacher | 2026-03-15T09:53:10Z | 6,230 | 7 | transformers | [
"transformers",
"gguf",
"unsloth",
"qwen",
"qwen3.5",
"reasoning",
"chain-of-thought",
"Dense",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"zh",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"base_model:llmfan46/Qwen3... | null | 2026-03-10T06:58:49Z | ## 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... | [] |
llmfan46/gemma-3-12b-it-ultra-uncensored-heretic-GGUF | llmfan46 | 2026-03-27T22:32:31Z | 15,723 | 10 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"image-text-to-text",
"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:2009.03300",
"arx... | image-text-to-text | 2026-03-10T12:52:58Z | <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... | [] |
lukealonso/Qwen3.5-397B-A17B-NVFP4 | lukealonso | 2026-04-12T15:35:16Z | 19,235 | 6 | null | [
"safetensors",
"qwen3_5_moe",
"qwen3.5",
"moe",
"quantized",
"nvfp4",
"fp4",
"multimodal",
"vision",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3.5-397B-A17B",
"base_model:quantized:Qwen/Qwen3.5-397B-A17B",
"license:apache-2.0",
"modelopt",
"region:us"
] | text-generation | 2026-03-10T16:10:49Z | ## Model Description
**Qwen3.5-397B-A17B-NVFP4** is an NVFP4-quantized version of [Qwen/Qwen3.5-397B-A17B](https://huggingface.co/Qwen/Qwen3.5-397B-A17B), a 397B-parameter Mixture-of-Experts vision-language model with 17B active parameters, 512 experts per layer (10 active), and hybrid attention (softmax + linear/Delt... | [] |
openSUSE/CVE-Backport-Qwen2.5-Coder-32B | openSUSE | 2026-04-15T14:34:21Z | 160 | 2 | null | [
"safetensors",
"gguf",
"security",
"patch-backporting",
"code-generation",
"qwen2",
"qlora",
"opensuse",
"text-generation",
"en",
"dataset:openSUSE/cve-backport-codegen-dataset",
"base_model:Qwen/Qwen2.5-Coder-32B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-32B-Instruct",
"license:... | text-generation | 2026-03-28T11:05:54Z | # CVE Backport Code Generation — Qwen2.5-Coder-32B (v5)
Fine-tuned [Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct) for security patch backporting via per-hunk code generation. Maintained as part of the openSUSE security tooling effort, alongside the [cve-backport-tool](https://gith... | [] |
onnx-community/gemma-4-E2B-it-ONNX | onnx-community | 2026-04-24T13:47:12Z | 81,602 | 17 | transformers.js | [
"transformers.js",
"onnx",
"gemma4",
"image-text-to-text",
"conversational",
"any-to-any",
"base_model:google/gemma-4-E2B-it",
"base_model:quantized:google/gemma-4-E2B-it",
"license:apache-2.0",
"region:us"
] | any-to-any | 2026-04-02T16:02:25Z | <div align="center">
<img src=https://ai.google.dev/gemma/images/gemma4_banner.png>
</div>
<p align="center">
<a href="https://huggingface.co/collections/google/gemma-4" target="_blank">Hugging Face</a> |
<a href="https://github.com/google-gemma" target="_blank">GitHub</a> |
<a href="https://blog.google... | [] |
mradermacher/LongWriter-Qwen2.5-7B-Instruct-absolute-heresy-GGUF | mradermacher | 2026-02-13T15:22:21Z | 144 | 2 | transformers | [
"transformers",
"gguf",
"Long Context",
"qwen2.5",
"qwen2",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"zh",
"base_model:MuXodious/LongWriter-Qwen2.5-7B-Instruct-absolute-heresy",
"base_model:quantized:MuXodious/LongWriter-Qwen2.5-7B-Instruct-absolute-heresy",
"endpoints_c... | null | 2026-02-13T14:39:35Z | ## 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... | [] |
leum-team/Leum-VL-8B-preview0320 | leum-team | 2026-03-24T09:42:23Z | 170 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"video-language-model",
"video-understanding",
"multimodal",
"short-video",
"timeline-grounded",
"structure-parsing",
"video-text-to-text",
"zh",
"en",
"arxiv:2603.20354",
"base_model:Qwen/Qwen3-VL-8B-Instruct",
"base_mod... | video-text-to-text | 2026-03-19T16:06:13Z | <p align="center">
<img src="./assets/leum_logo.png" alt="Leum-VL logo" style="max-width: 400px;width: 100%" />
</p>
<p align="center">
<a href="https://arxiv.org/abs/2603.20354"><img src="https://img.shields.io/badge/Paper-Arxiv-red?logo=Arxiv" alt="Paper" /></a>
<a href="https://modelscope.cn/models/leum-team/... | [] |
unsloth/MiMo-VL-7B-RL-GGUF | unsloth | 2025-06-02T10:22:40Z | 4,120 | 15 | transformers | [
"transformers",
"gguf",
"qwen2_5_vl",
"image-text-to-text",
"unsloth",
"base_model:XiaomiMiMo/MiMo-VL-7B-RL",
"base_model:quantized:XiaomiMiMo/MiMo-VL-7B-RL",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-06-02T07:45:07Z | <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... | [] |
alibaba-pai/Wan2.1-Fun-V1.1-1.3B-InP | alibaba-pai | 2025-12-11T02:24:38Z | 2,954 | 9 | videox_fun | [
"videox_fun",
"diffusers",
"safetensors",
"i2v",
"video",
"video-generation",
"text-to-video",
"en",
"zh",
"license:apache-2.0",
"region:us"
] | text-to-video | 2025-04-24T08:41:03Z | # Wan-Fun
😊 Welcome!
[](https://huggingface.co/spaces/alibaba-pai/Wan2.1-Fun-1.3B-InP)
[](https://github.com/aigc-apps/VideoX-Fun)
[English](./README_en.md) |... | [] |
NlpHUST/vi-word-segmentation | NlpHUST | 2022-10-30T09:45:24Z | 1,464 | 6 | transformers | [
"transformers",
"pytorch",
"electra",
"token-classification",
"word segmentation",
"vi",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | token-classification | 2022-10-30T04:48:30Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vi-word-segmentation
This model is a fine-tuned version of [NlpHUST/electra-base-vn](https://huggingface.co/NlpHUST/electra-base-... | [
{
"start": 452,
"end": 461,
"text": "Precision",
"label": "evaluation metric",
"score": 0.7973858118057251
},
{
"start": 502,
"end": 510,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.684961199760437
}
] |
kathywu95/deepseek-v3-small-random | kathywu95 | 2025-10-03T02:57:15Z | 182 | 1 | transformers | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"conversational",
"custom_code",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-10-03T02:51:15Z | Random weights generated using script derived from
`yujiepan/deepseek-v3-tiny-random`.
```python
import os
from pathlib import Path
import torch
import transformers
from huggingface_hub import create_repo, upload_folder
from transformers import (AutoConfig, AutoModelForCausalLM, AutoTokenizer,
... | [] |
mradermacher/Vistral-24B-Instruct-i1-GGUF | mradermacher | 2025-12-08T10:12:21Z | 343 | 1 | transformers | [
"transformers",
"gguf",
"en",
"ru",
"dataset:Vikhrmodels/GrandMaster2",
"base_model:Vikhrmodels/Vistral-24B-Instruct",
"base_model:quantized:Vikhrmodels/Vistral-24B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-29T23:40:11Z | ## 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_... | [] |
amd/Nitro-E | amd | 2025-11-03T09:41:56Z | 264 | 96 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"license:mit",
"region:us"
] | text-to-image | 2025-10-16T03:25:12Z | # AMD Nitro-E
## Introduction
Nitro-E is a family of text-to-image diffusion models focused on highly efficient training. With just 304M parameters, Nitro-E is designed to be resource-friendly for both training and inference. For trainin... | [] |
mradermacher/Qwen3.5-4B-saudi-dialect-GGUF | mradermacher | 2026-03-19T12:43:59Z | 673 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"qwen3_5",
"trl",
"lora",
"sft",
"arabic",
"saudi-dialect",
"conversational",
"ar",
"dataset:HeshamHaroon/saudi-dialect-conversations",
"base_model:AyoubChLin/Qwen3.5-4B-saudi-dialect",
"base_model:adapter:AyoubChLin/Qwen3.5-4B-saudi-dialect",
"license:... | null | 2026-03-19T12:38:00Z | ## 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": 363,
"end": 387,
"text": "Qwen3.5-4B-saudi-dialect",
"label": "benchmark name",
"score": 0.6151872277259827
},
{
"start": 524,
"end": 553,
"text": "Qwen3.5-4B-saudi-dialect-GGUF",
"label": "benchmark name",
"score": 0.722425103187561
},
{
"start": 1249,... |
ValiantLabs/Ministral-3-14B-Reasoning-2512-ShiningValiant3 | ValiantLabs | 2025-12-08T04:18:25Z | 110 | 5 | transformers | [
"transformers",
"safetensors",
"mistral3",
"image-text-to-text",
"shining-valiant",
"shining-valiant-3",
"valiant",
"valiant-labs",
"mistral",
"mistral-common",
"ministral-3-14b",
"ministral",
"reasoning",
"code",
"code-reasoning",
"science",
"science-reasoning",
"physics",
"biol... | text-generation | 2025-12-08T04:16:04Z | **[Support our open-source dataset and model releases!](https://huggingface.co/spaces/sequelbox/SupportOpenSource)**
Shining Valiant 3: [Qwen3-1.7B](https://huggingface.co/ValiantLabs/Qwen3-1.7B-S... | [] |
mradermacher/Code2World-GGUF | mradermacher | 2026-04-16T16:12:00Z | 323 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:GD-ML/Code2World",
"base_model:quantized:GD-ML/Code2World",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-13T07:42:53Z | ## 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": 505,
"end": 520,
"text": "Code2World-GGUF",
"label": "benchmark name",
"score": 0.6108828186988831
}
] |
kurakurai/Luth-LFM2-350M | kurakurai | 2025-10-12T19:45:55Z | 250 | 15 | transformers | [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"liquid",
"luth",
"conversational",
"fr",
"en",
"dataset:kurakurai/luth-sft",
"arxiv:2510.05846",
"base_model:LiquidAI/LFM2-350M",
"base_model:finetune:LiquidAI/LFM2-350M",
"license:other",
"endpoints_compatible",
"deploy:azure"... | text-generation | 2025-08-18T18:27:40Z | 
# Luth-LFM2-350M
**Luth-LFM2-350M** is a French fine-tuned version of [LFM2-350M](https://huggingface.co/LiquidAI/LFM2-350M) in collaboration with Liquid AI, trained on the [Luth-SFT](https://huggingface.co/datasets/kurakurai/luth-sft) dataset. The model has improved its French ... | [
{
"start": 42,
"end": 56,
"text": "Luth-LFM2-350M",
"label": "benchmark name",
"score": 0.7531412839889526
},
{
"start": 60,
"end": 74,
"text": "Luth-LFM2-350M",
"label": "benchmark name",
"score": 0.7619924545288086
},
{
"start": 112,
"end": 121,
"text": ... |
mradermacher/LongWriter-Qwen2.5-7B-Instruct-absolute-heresy-i1-GGUF | mradermacher | 2026-02-13T15:35:41Z | 150 | 1 | transformers | [
"transformers",
"gguf",
"Long Context",
"qwen2.5",
"qwen2",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"zh",
"base_model:MuXodious/LongWriter-Qwen2.5-7B-Instruct-absolute-heresy",
"base_model:quantized:MuXodious/LongWriter-Qwen2.5-7B-Instruct-absolute-heresy",
"endpoints_c... | null | 2026-02-13T14:54:24Z | ## 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_... | [] |
OpenMed/OpenMed-PII-French-SnowflakeMed-Large-568M-v1 | OpenMed | 2026-02-10T18:07:31Z | 11,396 | 3 | transformers | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"ner",
"pii",
"pii-detection",
"de-identification",
"privacy",
"healthcare",
"medical",
"clinical",
"phi",
"french",
"pytorch",
"openmed",
"fr",
"base_model:Snowflake/snowflake-arctic-embed-l-v2.0",
"base_model... | token-classification | 2026-02-10T18:06:51Z | # OpenMed-PII-French-SnowflakeMed-Large-568M-v1
**French PII Detection Model** | 568M Parameters | Open Source
[]() []() []()... | [
{
"start": 186,
"end": 195,
"text": "Precision",
"label": "evaluation metric",
"score": 0.6561501622200012
},
{
"start": 1311,
"end": 1320,
"text": "Precision",
"label": "evaluation metric",
"score": 0.7856955528259277
},
{
"start": 1474,
"end": 1483,
"tex... |
mradermacher/Human-Like-Mistral-Nemo-Instruct-2407-MPOA-GGUF | mradermacher | 2026-03-07T15:53:42Z | 778 | 1 | transformers | [
"transformers",
"gguf",
"roleplay",
"conversational",
"en",
"dataset:HumanLLMs/Human-Like-DPO-Dataset",
"base_model:EldritchLabs/Human-Like-Mistral-Nemo-Instruct-2407-MPOA",
"base_model:quantized:EldritchLabs/Human-Like-Mistral-Nemo-Instruct-2407-MPOA",
"license:apache-2.0",
"endpoints_compatible"... | null | 2026-03-07T14:40:46Z | ## 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... | [] |
Youssofal/Qwen3.6-27B-Abliterated-Heretic-Uncensored-MLX-4bit | Youssofal | 2026-04-26T00:24:50Z | 1,871 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"mlx-lm",
"qwen",
"qwen3.6",
"dense",
"multimodal",
"vlm",
"vision",
"video",
"abliterated",
"uncensored",
"heretic",
"mpoa",
"apple-silicon",
"4-bit",
"soma",
"text-generation",
"conversational",
"base_model:Youssofal/Qwen3.6-27B-Abliterated-... | text-generation | 2026-04-24T04:59:29Z | # Qwen3.6-27B-Abliterated-Heretic-Uncensored-MLX-4bit
This is an MLX release of an abliterated, uncensored version of Qwen's Qwen3.6-27B with the source image/video payload retained, made from the published BF16 checkpoint.
By applying a Heretic-style MPOA pipeline with magnitude preservation on the Qwen3.6-27B dense... | [
{
"start": 2,
"end": 53,
"text": "Qwen3.6-27B-Abliterated-Heretic-Uncensored-MLX-4bit",
"label": "benchmark name",
"score": 0.6204901337623596
}
] |
mradermacher/gemma-3-12b-it-norm-preserved-biprojected-abliterated-GGUF | mradermacher | 2025-11-07T00:26:38Z | 429 | 5 | transformers | [
"transformers",
"gguf",
"en",
"base_model:grimjim/gemma-3-12b-it-norm-preserved-biprojected-abliterated",
"base_model:quantized:grimjim/gemma-3-12b-it-norm-preserved-biprojected-abliterated",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-06T22:17:09Z | ## 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: 1 -->
static ... | [] |
prithivMLmods/palmyra-mini-thinking-AIO-GGUF | prithivMLmods | 2025-09-23T11:59:50Z | 104 | 4 | transformers | [
"transformers",
"gguf",
"qwen2",
"text-generation-inference",
"code",
"math",
"coder",
"text-generation",
"en",
"base_model:Writer/palmyra-mini",
"base_model:quantized:Writer/palmyra-mini",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-09-16T05:59:34Z | # **palmyra-mini-thinking-AIO-GGUF**
> The palmyra-mini *[models](https://huggingface.co/Writer)* demonstrates exceptional capabilities in complex reasoning and mathematical problem-solving domains. Its performance is particularly noteworthy on benchmarks that require deep understanding and multi-step thought processe... | [
{
"start": 447,
"end": 452,
"text": "0.818",
"label": "evaluation metric",
"score": 0.9209641218185425
},
{
"start": 774,
"end": 779,
"text": "0.818",
"label": "evaluation metric",
"score": 0.7497493624687195
}
] |
mradermacher/Wiki-PRF-3B-Infoseek-GGUF | mradermacher | 2026-03-02T15:23:06Z | 347 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:hongyuyang23casia/Wiki-PRF-3B-Infoseek",
"base_model:quantized:hongyuyang23casia/Wiki-PRF-3B-Infoseek",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-03T09:11:47Z | ## 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/Olmo-Hybrid-7B | allenai | 2026-03-05T16:08:30Z | 30,724 | 51 | transformers | [
"transformers",
"safetensors",
"olmo_hybrid",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-28T00:33:58Z | <img src="https://cdn-uploads.huggingface.co/production/uploads/65316953791d5a2611426c20/knzy4kGDHNS8IPrMrQhEd.png" alt="olmo-base" width="211">
## Model Details
# Model Card for Olmo Hybrid (7B)
We expand on our Olmo model series by introducing Olmo Hybrid, a new 7B hybrid RNN model in the Olmo family. Olmo Hybrid ... | [] |
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