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 |
|---|---|---|---|---|---|---|---|---|---|---|
magiccodingman/Qwen3-4B-Thinking-2507-Unsloth-MagicQuant-Hybrid-GGUF | magiccodingman | 2025-12-05T02:53:44Z | 285 | 2 | null | [
"safetensors",
"gguf",
"qwen3",
"mxfp4_hybrid",
"text-generation",
"quantized",
"cpu",
"gpu",
"mxfp4",
"mxfp4_moe",
"magicquant",
"magic_quant",
"IQ4_NL",
"conversational",
"base_model:unsloth/Qwen3-4B-Thinking-2507",
"base_model:quantized:unsloth/Qwen3-4B-Thinking-2507",
"license:ap... | text-generation | 2025-12-03T17:55:00Z | # MagicQuant GGUF Hybrids - Qwen3 4B Thinking 2507
> **MagicQuant is an automated quantization, benchmarking, and evolutionary hybrid-GGUF search system for LLMs.**
Each release includes models optimized to outperform standard baseline quants (Q8, Q6, Q5, Q4).
If a baseline GGUF exists in this repo, the evolutionary ... | [
{
"start": 2,
"end": 12,
"text": "MagicQuant",
"label": "benchmark name",
"score": 0.9518171548843384
},
{
"start": 56,
"end": 66,
"text": "MagicQuant",
"label": "benchmark name",
"score": 0.9611578583717346
},
{
"start": 628,
"end": 638,
"text": "MagicQua... |
calcuis/qwen-image-edit-plus-gguf | calcuis | 2025-10-03T08:11:56Z | 2,460 | 41 | null | [
"gguf",
"gguf-connector",
"gguf-node",
"image-to-image",
"base_model:Qwen/Qwen-Image-Edit-2509",
"base_model:quantized:Qwen/Qwen-Image-Edit-2509",
"license:apache-2.0",
"region:us"
] | image-to-image | 2025-09-22T19:06:05Z | ## qwen-image-edit-plus-gguf
- run it with `gguf-connector`; simply execute the command below in console/terminal
```
ggc q8
```
>
>GGUF file(s) available. Select which one to use:
>
>1. qwen-image-edit-plus-v2-iq3_s.gguf
>2. qwen-image-edit-plus-v2-iq4_nl.gguf
>3. qwen-image-edit-plus-v2-mxfp4_moe.gguf
>
>Enter your c... | [] |
ServiceNow-AI/SuperApriel-15B-Instruct | ServiceNow-AI | 2026-04-23T02:11:11Z | 179 | 7 | transformers | [
"transformers",
"safetensors",
"apriel2",
"image-text-to-text",
"text-generation",
"conversational",
"custom_code",
"arxiv:2604.19877",
"license:mit",
"region:us"
] | text-generation | 2026-04-07T15:15:54Z | # SuperApriel-15b-Instruct
<img src="assets/super-apriel.png" width="120" alt="thumbnail"/> `/ˈɑː.pri.əl/`
A 15B-parameter **token-mixer supernet** with **8 optimized deployment presets** spanning 1.0× to 10.7× decode throughput at 32K sequence length, all from a single checkpoint. Derived from [Apriel-1.6](http... | [
{
"start": 722,
"end": 732,
"text": "throughput",
"label": "evaluation metric",
"score": 0.6047505736351013
},
{
"start": 1237,
"end": 1252,
"text": "Pareto Frontier",
"label": "benchmark name",
"score": 0.8783652782440186
},
{
"start": 1275,
"end": 1290,
... |
mradermacher/Olmo-3.1-32B-Think-i1-GGUF | mradermacher | 2025-12-17T06:20:28Z | 265 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:allenai/Dolci-Think-RL",
"base_model:allenai/Olmo-3.1-32B-Think",
"base_model:quantized:allenai/Olmo-3.1-32B-Think",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-17T01:36:26Z | ## 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_... | [
{
"start": 618,
"end": 644,
"text": "Olmo-3.1-32B-Think-i1-GGUF",
"label": "benchmark name",
"score": 0.7191714644432068
},
{
"start": 718,
"end": 741,
"text": "Olmo-3.1-32B-Think-GGUF",
"label": "benchmark name",
"score": 0.6258571147918701
},
{
"start": 1202,
... |
T1anyu/DeepInnovator | T1anyu | 2026-02-27T11:00:19Z | 264 | 1 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"research",
"scientific-discovery",
"idea-generation",
"llm",
"pytorch",
"conversational",
"en",
"arxiv:2602.18920",
"base_model:Qwen/Qwen2.5-14B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-14B-Instruct",
"license:apache-2.0",
... | text-generation | 2026-02-24T11:40:57Z | # DeepInnovator-14B
<p align="center">
<a href="https://github.com/HKUDS/DeepInnovator">💻 Code</a> •
<a href="https://arxiv.org/abs/2602.18920">📄 Paper</a> •
<a href="https://huggingface.co/T1anyu/DeepInnovator">🤗 Model</a>
</p>
## Model Description
**DeepInnovator** is a Large Language Model trained to pos... | [] |
mradermacher/JOSIE-4B-Thinking-i1-GGUF | mradermacher | 2026-03-09T20:46:25Z | 2,590 | 2 | transformers | [
"transformers",
"gguf",
"chat",
"multilingual",
"en",
"es",
"fr",
"pt",
"it",
"ar",
"ko",
"id",
"ru",
"vi",
"de",
"th",
"ja",
"base_model:Goekdeniz-Guelmez/JOSIE-4B-Thinking",
"base_model:quantized:Goekdeniz-Guelmez/JOSIE-4B-Thinking",
"license:mit",
"endpoints_compatible",
... | null | 2026-02-13T15:38:24Z | ## 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_... | [
{
"start": 627,
"end": 652,
"text": "JOSIE-4B-Thinking-i1-GGUF",
"label": "benchmark name",
"score": 0.6260924935340881
}
] |
StanislavKo28/music_moods_classification | StanislavKo28 | 2026-04-27T14:48:13Z | 320 | 3 | null | [
"pytorch",
"safetensors",
"wav2vec2",
"audio-classification",
"base_model:facebook/wav2vec2-base-960h",
"base_model:finetune:facebook/wav2vec2-base-960h",
"license:apache-2.0",
"region:us"
] | audio-classification | 2026-01-10T11:42:51Z | Music mood classification is a fundamental and versatile application in many various domains. Some possible use cases for music mood classification include:
- music recommendation systems;
- content organization and discovery;
- radio broadcasting and programming;
- music licensing and copyright management;
- music an... | [] |
RedHatAI/Qwen3-235B-A22B-Thinking-2507-speculator.eagle3 | RedHatAI | 2026-01-22T21:07:03Z | 139 | 1 | null | [
"safetensors",
"redhat",
"neuralmagic",
"qwen",
"speculators",
"eagle3",
"custom_code",
"arxiv:2503.01840",
"base_model:Qwen/Qwen3-235B-A22B",
"base_model:finetune:Qwen/Qwen3-235B-A22B",
"license:apache-2.0",
"region:us"
] | null | 2026-01-22T20:01:26Z | # Qwen30235B-A22B-Thinking-2507-speculator.eagle3
## Model Overview
- **Verifier:** Qwen/Qwen3-235B-A22B
- **Speculative Decoding Algorithm:** EAGLE-3
- **Model Architecture:** Eagle3Speculator
- **Release Date:** 01/15/2026
- **Version:** 1.0
- **Model Developers:** RedHat
This model is the same as [RedHatAI/Qwen302... | [] |
InnovatorLab/Innovator-VL-8B-Instruct | InnovatorLab | 2026-02-06T06:14:16Z | 110 | 2 | null | [
"safetensors",
"text-generation",
"conversational",
"custom_code",
"en",
"zh",
"arxiv:2601.19325",
"license:mit",
"region:us"
] | text-generation | 2026-01-24T13:15:20Z | # Innovator-VL-8B-Instruct
[Paper](https://huggingface.co/papers/2601.19325) | [Code](https://github.com/InnovatorLM/Innovator-VL)
## Model Summary
**Innovator-VL-8B-Instruct** is a multimodal instruction-following large language model designed for scientific understanding and reasoning. The model integrates strong ... | [] |
meituan-longcat/LongCat-Flash-Prover | meituan-longcat | 2026-03-24T02:37:03Z | 282 | 25 | transformers | [
"transformers",
"safetensors",
"text-generation",
"conversational",
"custom_code",
"arxiv:2603.21065",
"base_model:meituan-longcat/LongCat-Flash-Prover",
"base_model:finetune:meituan-longcat/LongCat-Flash-Prover",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-20T04:04:15Z | # LongCat-Flash-Prover
<div align="center">
<img src="https://raw.githubusercontent.com/meituan-longcat/LongCat-Flash-Chat/main/figures/longcat_logo.svg" width="45%" alt="LongCat-Flash" />
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href="https://longcat.ai/" target="_blank" style="margin: 2px;">... | [] |
NullpoLab/gemma-4-E4B-it-Heretic-ARA-Refusals8-GGUF | NullpoLab | 2026-04-29T12:23:05Z | 6,096 | 1 | null | [
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"base_model:NullpoLab/gemma-4-E4B-it-Heretic-ARA-Refusals8",
"base_model:quantized:NullpoLab/gemma-4-E4B-it-Heretic-ARA-Refusals8",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-04T14:18:01Z | # gemma-4-E4B-it-Heretic-ARA-Refusals8 GGUF
2026年4月29日 更新
公式のjinjaテンプレートが更新されたのでggufを更新しました。
thinkingを有効化したい場合はシステムプロンプトに以下を入力してください。
```
<|think|>
```
LM Studioで使用する場合、モデル一覧からモデルを選択して設定で推論セクション解析を以下のようにしてください。
開始文字列：
```
<|channel>thought
```
終了文字列：
```
<channel|>
```
[NullpoLab/gemma-4-E4B-it-Heretic-ARA-Refusals... | [] |
Cognitive-Lab/ColNetraEmbed | Cognitive-Lab | 2025-12-10T14:55:23Z | 371 | 4 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"vision-language",
"retrieval",
"colbert",
"late-interaction",
"multimodal",
"multilingual",
"document-retrieval",
"22-languages",
"visual-document-retrieval",
"en",
"es",
"fr",
"de",
"it",
"hi",
"mr",
"sa",
"kn... | visual-document-retrieval | 2025-12-01T16:32:48Z | # ColNetraEmbed
[](https://arxiv.org/abs/2512.03514)
[](... | [] |
google/videoprism-large-f8r288 | google | 2025-07-29T20:33:32Z | 305 | 19 | videoprism | [
"videoprism",
"video-classification",
"video-embedding",
"arxiv:2402.13217",
"arxiv:2205.01917",
"arxiv:2103.15691",
"arxiv:2007.14937",
"arxiv:2106.02636",
"arxiv:2204.00679",
"arxiv:2307.06942",
"license:apache-2.0",
"region:us"
] | video-classification | 2025-07-09T14:41:25Z | # VideoPrism Model Card
**Paper**: https://huggingface.co/papers/2402.13217
**arXiv**: https://arxiv.org/pdf/2402.13217
**GitHub**: https://github.com/google-deepmind/videoprism
**Blog**: https://research.google/blog/videoprism-a-foundational-visual-encoder-for-video-understanding/
VideoPrism is a foundational vid... | [] |
mradermacher/apollo-astralis-4b-GGUF | mradermacher | 2026-02-25T05:30:38Z | 475 | 5 | transformers | [
"transformers",
"gguf",
"reasoning",
"thinking",
"conversational",
"conversational-ai",
"friendly",
"empathetic",
"collaborative",
"coginitive-architectures",
"large-language-model",
"qwen3-thinking",
"warm",
"research",
"VANTA Research",
"edge devices",
"frontier",
"cognitive",
... | null | 2025-10-04T19:11:54Z | ## 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": 367,
"end": 385,
"text": "apollo-astralis-4b",
"label": "benchmark name",
"score": 0.601466953754425
},
{
"start": 522,
"end": 545,
"text": "apollo-astralis-4b-GGUF",
"label": "benchmark name",
"score": 0.6971995830535889
},
{
"start": 629,
"end": 6... |
NousResearch/Nous-Capybara-34B | NousResearch | 2023-12-28T12:56:35Z | 1,213 | 259 | transformers | [
"transformers",
"pytorch",
"llama",
"text-generation",
"sft",
"Yi-34B-200K",
"eng",
"dataset:LDJnr/Capybara",
"dataset:LDJnr/LessWrong-Amplify-Instruct",
"dataset:LDJnr/Pure-Dove",
"dataset:LDJnr/Verified-Camel",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region... | text-generation | 2023-11-13T05:01:41Z | ## **Nous-Capybara-34B V1.9**
**This is trained on the Yi-34B model with 200K context length, for 3 epochs on the Capybara dataset!**
**First 34B Nous model and first 200K context length Nous model!**
The Capybara series is the first Nous collection of models made by fine-tuning mostly on data created by Nous in-hou... | [] |
jet-ai/Jet-Nemotron-2B | jet-ai | 2025-09-28T18:23:06Z | 18,114 | 17 | transformers | [
"transformers",
"safetensors",
"jet_nemotron",
"text-generation",
"nvidia",
"pytorch",
"conversational",
"custom_code",
"en",
"arxiv:2508.15884",
"license:other",
"region:us"
] | text-generation | 2025-08-20T16:11:51Z | # Jet-Nemotron-2B
<div align="left">
<a href="https://hanlab.mit.edu/projects/jet-nemotron/"><img src="https://img.shields.io/static/v1?label=Website&message=Jet-Nemotron&color=darkred&logo=github-pages"></a>  
<a href="https://github.com/NVlabs/Jet-Nemotron/"><img src="https://img.shields.io/static/v1?label=... | [] |
Alibaba-NLP/gte-Qwen2-7B-instruct | Alibaba-NLP | 2025-03-24T09:43:55Z | 73,112 | 478 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen2",
"text-generation",
"mteb",
"transformers",
"Qwen2",
"sentence-similarity",
"custom_code",
"arxiv:2308.03281",
"license:apache-2.0",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | sentence-similarity | 2024-06-15T11:24:21Z | ## gte-Qwen2-7B-instruct
**gte-Qwen2-7B-instruct** is the latest model in the gte (General Text Embedding) model family that ranks **No.1** in both English and Chinese evaluations on the Massive Text Embedding Benchmark [MTEB benchmark](https://huggingface.co/spaces/mteb/leaderboard) (as of June 16, 2024).
Recently, ... | [
{
"start": 188,
"end": 220,
"text": "Massive Text Embedding Benchmark",
"label": "benchmark name",
"score": 0.7763772010803223
},
{
"start": 222,
"end": 226,
"text": "MTEB",
"label": "benchmark name",
"score": 0.7154293656349182
}
] |
ruslandev/llama-3-8b-gpt-4o-ru1.0-gguf | ruslandev | 2024-06-30T06:10:11Z | 1,271 | 32 | null | [
"gguf",
"generated_from_trainer",
"dataset:ruslandev/tagengo-rus-gpt-4o",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:quantized:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-06-30T05:28:50Z | # Llama-3 8B GPT-4o-RU1.0
[[Dataset]](https://huggingface.co/datasets/ruslandev/tagengo-rus-gpt-4o)
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
The idea behind this model is to train on a dataset derived from a smaller subset... | [
{
"start": 484,
"end": 490,
"text": "GPT-4o",
"label": "benchmark name",
"score": 0.7195874452590942
},
{
"start": 740,
"end": 769,
"text": "MT-Bench evaluation benchmark",
"label": "evaluation metric",
"score": 0.7308683395385742
}
] |
mconcat/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-NVFP4 | mconcat | 2026-03-19T14:43:50Z | 7,566 | 18 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"qwen3.5",
"reasoning",
"quantized",
"fp8",
"nvfp4",
"mixed-precision",
"compressed-tensors",
"deltanet",
"chain-of-thought",
"text-generation",
"conversational",
"en",
"zh",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-f... | text-generation | 2026-03-10T14:58:46Z | # Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-NVFP4
Mixed-precision quantized version of [Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled](https://huggingface.co/Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled) — a Claude 4.6 Opus reasoning-distilled Qwen3.5-27B model.
**~25 GB** on disk (~23.7 ... | [] |
mradermacher/QiMing-LongWriter-20B-MXFP4-i1-GGUF | mradermacher | 2025-12-08T22:41:34Z | 895 | 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 | 2025-09-22T19:06:11Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: MXFP4_MOE 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 ... | [] |
microsoft/MediPhi-Clinical | microsoft | 2025-12-15T19:43:49Z | 385 | 13 | transformers | [
"transformers",
"safetensors",
"phi3",
"text-generation",
"merge",
"mergekit",
"medical",
"clinical",
"conversational",
"en",
"dataset:starmpcc/Asclepius-Synthetic-Clinical-Notes",
"dataset:akemiH/NoteChat",
"dataset:zhengyun21/PMC-Patients",
"arxiv:2505.10717",
"arxiv:2507.05517",
"ar... | text-generation | 2025-05-29T20:40:05Z | # Model Card for MediPhi-Clinical
## Model Summary
The MediPhi Model Collection comprises 7 small language models of 3.8B parameters from the base model `Phi-3.5-mini-instruct` specialized in the medical and clinical domains. The collection is designed in a modular fashion. Five MediPhi experts are fine-tuned on vari... | [] |
mradermacher/MamayLM-Gemma-3-12B-IT-v1.0-i1-GGUF | mradermacher | 2025-12-07T00:39:17Z | 267 | 2 | transformers | [
"transformers",
"gguf",
"gemma3",
"instruct",
"mamaylm",
"insait",
"uk",
"en",
"dataset:Goader/kobza",
"dataset:HuggingFaceFW/fineweb-2",
"dataset:HPLT/HPLT2.0_cleaned",
"dataset:wikimedia/wikipedia",
"dataset:HuggingFaceTB/smoltalk2",
"dataset:open-r1/Mixture-of-Thoughts",
"base_model:I... | null | 2025-09-28T12:25:46Z | ## 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_... | [] |
mradermacher/Qwen2.5-1.5B-VibeThinker-heretic-uncensored-abliterated-i1-GGUF | mradermacher | 2025-12-04T18:36:55Z | 201 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"en",
"base_model:DavidAU/Qwen2.5-1.5B-VibeThinker-heretic-uncensored-abliterated",
"base_model:quantized:DavidAU/Qwen2.5-1.5B-VibeThinker-heretic-uncensored-abliterated",
"endpoints_compatible",
"region:... | null | 2025-11-22T14:47:57Z | ## 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": 518,
"text": "Qwen2.5-1.5B-VibeThinker-heretic-uncensored-abliterated",
"label": "benchmark name",
"score": 0.6387138962745667
},
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"end": 718,
"text": "Qwen2.5-1.5B-VibeThinker-heretic-uncensored-abliterated-i1-GGUF",
"label": "benchmark ... |
mradermacher/Qwen3-32B-VL-Instruct-Polaris-HI16-Heretic-Uncensored-i1-GGUF | mradermacher | 2026-04-10T22:43:01Z | 647 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"heretic",
"uncensored",
"abliterated",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
... | null | 2026-02-28T14:44:46Z | ## 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_... | [] |
mradermacher/Olmo-3-1125-32B-i1-GGUF | mradermacher | 2025-12-06T12:34:10Z | 262 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:allenai/dolma3_mix-5.5T-1125",
"base_model:allenai/Olmo-3-1125-32B",
"base_model:quantized:allenai/Olmo-3-1125-32B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-21T07:02:08Z | ## 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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"label": "benchmark name",
"score": 0.696739137172699
},
{
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"end": 1216,
"text": "Olmo-3-1125-32B-i1-GGUF",
"label": "benchmark name",
"score": 0.6698837280273438
},
{
"start": 1369,
... |
TheImposterImposters/LUSTIFY-v2.0 | TheImposterImposters | 2024-08-09T19:11:55Z | 1,173 | 4 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | 2024-08-09T17:55:13Z | # LUSTIFY! [SDXL NSFW & SFW checkpoint] - v2.0
- **ID**: 573152
- **Author**: coyotte
- **Type**: Checkpoint
- **Base Model**: SDXL 1.0
- **Base Model Type**: Standard
- **Model Version ID**: 708635
---
UPD 09\.08: V2 is out.
What new:
1\) I've trained the model for additional \~26 535 steps on a completely n... | [] |
lmsys/SGLang-EAGLE3-Qwen3-30B-A3B-Instruct-2507-SpecForge-Nex | lmsys | 2025-12-28T03:10:02Z | 2,219 | 3 | null | [
"safetensors",
"llama",
"dataset:mlabonne/open-perfectblend",
"license:mit",
"region:us"
] | null | 2025-12-22T14:25:18Z | 
# EAGLE3 For Qwen/Qwen3-30B-A3B-Instruct-2507
## About
**SpecBundle** is an open-source initiative, jointly driven by the community and industry, to democratize speculative decoding by providing hig... | [
{
"start": 122,
"end": 128,
"text": "EAGLE3",
"label": "benchmark name",
"score": 0.7654547095298767
},
{
"start": 1070,
"end": 1076,
"text": "EAGLE3",
"label": "benchmark name",
"score": 0.7414833903312683
},
{
"start": 1431,
"end": 1448,
"text": "Accepta... |
bartowski/Qwen2.5-14B-Instruct-1M-GGUF | bartowski | 2025-01-26T17:04:06Z | 1,459 | 47 | null | [
"gguf",
"chat",
"text-generation",
"en",
"base_model:Qwen/Qwen2.5-14B-Instruct-1M",
"base_model:quantized:Qwen/Qwen2.5-14B-Instruct-1M",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-01-25T15:34:55Z | ## Llamacpp imatrix Quantizations of Qwen2.5-14B-Instruct-1M
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4546">b4546</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-1M
All quants ma... | [] |
starsfriday/Qwen-Image-Edit-Remover-General-LoRA | starsfriday | 2025-08-25T12:04:48Z | 130 | 15 | diffusers | [
"diffusers",
"image-generation",
"lora",
"Qwen-Image",
"image-to-image",
"en",
"base_model:Qwen/Qwen-Image-Edit",
"base_model:adapter:Qwen/Qwen-Image-Edit",
"license:apache-2.0",
"region:us"
] | image-to-image | 2025-08-25T02:29:10Z | # starsfriday Qwen-Image-Edit LoRA
<Gallery />
## Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This is a model for object removal, trained on ```Qwen/Qwen-Image-Edit```, and is suitable for object removal tasks of e-commerce images, character images, and object images.For use ... | [] |
Freepik/flux.1-lite-8B | Freepik | 2024-12-30T13:14:47Z | 382 | 95 | diffusers | [
"diffusers",
"safetensors",
"flux",
"text-to-image",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:finetune:black-forest-labs/FLUX.1-dev",
"license:other",
"endpoints_compatible",
"diffusers:FluxPipeline",
"region:us"
] | text-to-image | 2024-12-30T10:56:58Z | 
# Flux.1 Lite
We are thrilled to announce the release of Flux.1 Lite, an 8B parameter transformer model distilled from the FLUX.1-dev model. This version uses 7 GB less RAM and runs 23% faster while maintaining the same precision (bfloat16) as the original model.
... | [] |
Salesforce/codegen-350M-nl | Salesforce | 2025-01-31T21:26:50Z | 4,206 | 6 | transformers | [
"transformers",
"pytorch",
"codegen",
"text-generation",
"arxiv:2203.13474",
"license:bsd-3-clause",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | text-generation | 2022-04-11T15:19:18Z | # CodeGen (CodeGen-NL 350M)
## Model description
CodeGen is a family of autoregressive language models for **program synthesis** from the paper: [A Conversational Paradigm for Program Synthesis](https://arxiv.org/abs/2203.13474) by Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savare... | [
{
"start": 11,
"end": 26,
"text": "CodeGen-NL 350M",
"label": "evaluation metric",
"score": 0.6504592895507812
},
{
"start": 522,
"end": 526,
"text": "350M",
"label": "evaluation metric",
"score": 0.6465574502944946
},
{
"start": 609,
"end": 624,
"text": "... |
prithivMLmods/Qwen3-Medical-GRPO-GGUF | prithivMLmods | 2025-09-02T08:02:10Z | 136 | 6 | transformers | [
"transformers",
"gguf",
"qwen3",
"text-generation-inference",
"text-generation",
"en",
"base_model:lastmass/Qwen3_Medical_GRPO",
"base_model:quantized:lastmass/Qwen3_Medical_GRPO",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-09-02T06:03:40Z | # **Qwen3-Medical-GRPO-GGUF**
> Qwen3_Medical_GRPO is a specialized medical language model fine-tuned from the Qwen3 base using Supervised Fine-Tuning (SFT) and enhanced with Group Relative Policy Optimization (GRPO) to deliver advanced performance in clinical case analysis, differential diagnosis, and medical reasoni... | [] |
shoumenchougou/RWKV7-G1d-13.3B-GGUF | shoumenchougou | 2026-02-10T05:48:35Z | 323 | 4 | null | [
"gguf",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-02T07:09:18Z | ## 1️⃣ What are G0 / G1 / G1a2 / G1b / G1c / G1d ?
The fields like G0a / G1a / G1a2 in RWKV model names indicate versions of the training data. In terms of data quality, the ranking is: **G1d > G1c > G1b > G1a2 > G1a > G1 > G0a2 > G0**.
The RWKV7-G1a model is an advanced version of RWKV7-G1 that was further trained ... | [] |
nvidia/OpenMath-Nemotron-1.5B | nvidia | 2025-04-30T22:10:22Z | 3,697 | 30 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"nvidia",
"math",
"conversational",
"en",
"dataset:nvidia/OpenMathReasoning",
"arxiv:2504.16891",
"base_model:Qwen/Qwen2.5-Math-1.5B",
"base_model:finetune:Qwen/Qwen2.5-Math-1.5B",
"license:cc-by-4.0",
"text-generation-inference",
... | text-generation | 2025-04-22T17:47:58Z | # OpenMath-Nemotron-1.5B
OpenMath-Nemotron-1.5B is created by finetuning [Qwen/Qwen2.5-Math-1.5B](https://huggingface.co/Qwen/Qwen2.5-Math-1.5B) on [OpenMathReasoning](https://huggingface.co/datasets/nvidia/OpenMathReasoning) dataset.
This model is ready for commercial use.
Open... | [
{
"start": 2,
"end": 24,
"text": "OpenMath-Nemotron-1.5B",
"label": "benchmark name",
"score": 0.7418699264526367
},
{
"start": 26,
"end": 48,
"text": "OpenMath-Nemotron-1.5B",
"label": "benchmark name",
"score": 0.7848116159439087
},
{
"start": 432,
"end": 43... |
huihui-ai/Huihui-GLM-4.7-Flash-abliterated-mlx-4bit | huihui-ai | 2026-01-22T17:57:41Z | 1,467 | 9 | mlx | [
"mlx",
"safetensors",
"glm4_moe_lite",
"abliterated",
"uncensored",
"chat",
"text-generation",
"conversational",
"en",
"zh",
"base_model:zai-org/GLM-4.7-Flash",
"base_model:quantized:zai-org/GLM-4.7-Flash",
"license:mit",
"4-bit",
"region:us"
] | text-generation | 2026-01-22T17:44:57Z | # huihui-ai/Huihui-GLM-4.7-Flash-abliterated-mlx-4bit
This is an uncensored version of [zai-org/GLM-4.7-Flash](https://huggingface.co/zai-org/GLM-4.7-Flash) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
**Thi... | [] |
drbaph/SoulX-Singer | drbaph | 2026-02-11T16:36:55Z | 122 | 7 | huggingface_hub | [
"huggingface_hub",
"nemo",
"text-to-audio",
"music",
"singing-voice-synthesis",
"svs",
"zero-shot",
"text-to-speech",
"en",
"zh",
"arxiv:2602.07803",
"license:apache-2.0",
"region:us"
] | text-to-speech | 2026-02-11T10:49:16Z | ## ComfyUI Custom Node
This repository includes a custom node for ComfyUI integration:
🔗 **[ComfyUI-SoulX-Singer](https://github.com/Saganaki22/ComfyUI-SoulX-Singer)**
Use this... | [] |
WithinUsAI/Gemma-3-Prompt-Coder-270m-it-Uncensored-GGUF | WithinUsAI | 2026-02-08T09:26:50Z | 266 | 2 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"dataset:microsoft/rStar-Coder",
"dataset:gokaygokay/prompt-enhancement-75k",
"dataset:gokaygokay/prompt-enhancer-dataset",
"base_model:AxionLab-official/DogeAI-v1.5-Coder",
"base_model:merge:AxionLab-official/DogeAI-v1.5-Coder",
"base_model:broadfield-... | null | 2026-02-08T08:36:05Z | # Gemma-3-Prompt-Coder-270m-it (Uncensored)
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
### Models Merged
The following models... | [] |
unsloth/gemma-3-1b-it-unsloth-bnb-4bit | unsloth | 2025-05-12T07:52:59Z | 26,409 | 10 | 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 | 2025-03-13T10:56:10Z | <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>Unsloth's <a href="htt... | [
{
"start": 361,
"end": 375,
"text": "Dynamic Quants",
"label": "benchmark name",
"score": 0.6750389933586121
}
] |
microsoft/VibeVoice-Realtime-0.5B | microsoft | 2025-12-12T15:35:46Z | 283,214 | 1,143 | transformers | [
"transformers",
"safetensors",
"vibevoice_streaming",
"Realtime TTS",
"Streaming text input",
"Long-form speech generation",
"text-to-speech",
"en",
"arxiv:2508.19205",
"arxiv:2412.08635",
"base_model:Qwen/Qwen2.5-0.5B",
"base_model:finetune:Qwen/Qwen2.5-0.5B",
"license:mit",
"endpoints_co... | text-to-speech | 2025-12-04T05:32:08Z | ## VibeVoice: A Frontier Open-Source Text-to-Speech Model
VibeVoice-Realtime is a **lightweight real‑time** text-to-speech model supporting **streaming text input** and **robust long-form speech generation**. It can be used to build realtime TTS services, narrate live data streams, and let different LLMs start speakin... | [] |
QuantFactory/Meissa-Qwen2.5-7B-Instruct-GGUF | QuantFactory | 2024-11-25T16:13:58Z | 522 | 9 | null | [
"gguf",
"text-generation",
"zh",
"en",
"dataset:anthracite-org/stheno-filtered-v1.1",
"dataset:MinervaAI/Aesir-Preview",
"dataset:Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned",
"dataset:anthracite-org/nopm_claude_writing_fixed",
"dataset:Gryphe/Sonnet3.5-Charcard-Roleplay",
"dataset:nothingi... | text-generation | 2024-10-17T07:49:26Z | ---
license: gpl-3.0
base_model:
- Orion-zhen/Qwen2.5-7B-Instruct-Uncensored
datasets:
- anthracite-org/stheno-filtered-v1.1
- MinervaAI/Aesir-Preview
- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
- anthracite-org/nopm_claude_writing_fixed
- Gryphe/Sonnet3.5-Charcard-Roleplay
- nothingiisreal/DirtyWritingPrompt... | [] |
mradermacher/Huihui-LFM2.5-1.2B-Thinking-abliterated-GGUF | mradermacher | 2026-01-26T21:00:10Z | 547 | 2 | transformers | [
"transformers",
"gguf",
"liquid",
"lfm2.5",
"edge",
"abliterated",
"uncensored",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:huihui-ai/Huihui-LFM2.5-1.2B-Thinking-abliterated",
"base_model:quantized:huihui-ai/Huihui-LFM2.5-1.2B-Thinking-abliterated",
"license:other"... | null | 2026-01-26T20:21:24Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 538,
"end": 582,
"text": "Huihui-LFM2.5-1.2B-Thinking-abliterated-GGUF",
"label": "benchmark name",
"score": 0.6146674156188965
}
] |
jinaai/jina-reranker-v2-base-multilingual | jinaai | 2025-10-21T05:59:46Z | 712,784 | 347 | transformers | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"text-classification",
"reranker",
"cross-encoder",
"transformers.js",
"sentence-transformers",
"text-ranking",
"custom_code",
"multilingual",
"license:cc-by-nc-4.0",
"region:eu"
] | text-ranking | 2024-06-19T09:37:19Z | <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>
<p align="center">
<b>Trained by <a href="https://jina.ai/"><b>Jina AI</b></a>.</b>
</p>
# jina-reranker-v2-base-multiling... | [
{
"start": 384,
"end": 418,
"text": "jina-reranker-v2-base-multilingual",
"label": "benchmark name",
"score": 0.6325315237045288
},
{
"start": 658,
"end": 663,
"text": "score",
"label": "evaluation metric",
"score": 0.8415493965148926
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{
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"end":... |
mradermacher/CoReward-Qwen3-8B-Base-i1-GGUF | mradermacher | 2025-12-26T12:06:49Z | 148 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:TMLR-Group-HF/Co-rewarding-RephrasedMATH",
"dataset:TMLR-Group-HF/Co-rewarding-RephrasedDAPO-14k",
"dataset:TMLR-Group-HF/Co-rewarding-RephrasedOpenRS",
"base_model:TMLR-Group-HF/Co-rewarding-I-Qwen3-8B-Base-MATH",
"base_model:quantized:TMLR-Group-HF/Co-rewarding... | null | 2025-08-04T23:40:09Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [] |
deepdml/faster-whisper-large-v3-turbo-ct2 | deepdml | 2026-02-22T10:10:16Z | 102,553 | 189 | ctranslate2 | [
"ctranslate2",
"audio",
"automatic-speech-recognition",
"en",
"zh",
"de",
"es",
"ru",
"ko",
"fr",
"ja",
"pt",
"tr",
"pl",
"ca",
"nl",
"ar",
"sv",
"it",
"id",
"hi",
"fi",
"vi",
"he",
"uk",
"el",
"ms",
"cs",
"ro",
"da",
"hu",
"ta",
"no",
"th",
"ur",
... | automatic-speech-recognition | 2024-10-01T09:29:20Z | # Whisper large-v3 turbo model for CTranslate2
This repository contains the conversion of [deepdml/whisper-large-v3-turbo](https://huggingface.co/deepdml/whisper-large-v3-turbo) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format.
This model can be used in CTranslate2 or projects based on CTrans... | [] |
NO8D/HighResolution | NO8D | 2026-04-08T11:07:44Z | 190 | 8 | diffusers | [
"diffusers",
"template:diffusion-lora",
"image-to-image",
"LoRA",
"base_model:black-forest-labs/FLUX.2-klein-4B",
"base_model:finetune:black-forest-labs/FLUX.2-klein-4B",
"license:other",
"region:us"
] | image-to-image | 2026-03-04T12:48:35Z | # HighResolution4B
<Gallery />
## Model description
Do you...
Want to turn a small image into a large one? Want to make a low-resolution image clear? Or the images generated by ZIT are always blurry, and using the upscale model or controlnet model for enlargement always changes the content of the image, requiring r... | [] |
lightx2v/Autoencoders | lightx2v | 2025-11-21T03:35:23Z | 3,836 | 118 | diffusers | [
"diffusers",
"diffusion-single-file",
"comfyui",
"distillation",
"LoRA",
"video",
"video genration",
"base_model:Wan-AI/Wan2.1-I2V-14B-720P",
"base_model:finetune:Wan-AI/Wan2.1-I2V-14B-720P",
"license:apache-2.0",
"region:us"
] | null | 2025-10-17T11:01:58Z | # 🎨 LightVAE
## ⚡ Efficient Video Autoencoder (VAE) Model Collection
*From Official Models to Lightx2v Distilled Optimized Versions - Balancing Quality, Speed and Memory*
---
[![🤗 HuggingFace]... | [] |
0xA50C1A1/Ministral-3-14B-Nymphaea-RP | 0xA50C1A1 | 2026-04-24T12:05:35Z | 139 | 3 | transformers | [
"transformers",
"safetensors",
"gguf",
"mistral3",
"image-text-to-text",
"uncensored",
"roleplay",
"trl",
"rp",
"creative-writing",
"conversational",
"base_model:0xA50C1A1/Ministral-3-14B-Instruct-2512-BF16-SOM-MPOA",
"base_model:quantized:0xA50C1A1/Ministral-3-14B-Instruct-2512-BF16-SOM-MPO... | image-text-to-text | 2026-04-07T23:04:38Z | # Ministral-3-14B-Nymphaea-RP
A fine-tune of Ministral 3 14B Instruct 2512 for roleplay and creative writing.
> [!Tip]
> The SillyTavern preset is available [here](https://huggingface.co/0xA50C1A1/Ministral-3-14B-Nymphaea-RP/blob/main/ST-Preset.json).
> For custom presets, please use the **Mistral V7-Tekken** instruc... | [] |
mradermacher/gemma-3-12b-it-orthogonal-rotation-bounded-ablation-v1-12B-i1-GGUF | mradermacher | 2026-04-18T18:45:25Z | 214 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:grimjim/gemma-3-12b-it-orthogonal-rotation-bounded-ablation-v1-12B",
"base_model:quantized:grimjim/gemma-3-12b-it-orthogonal-rotation-bounded-ablation-v1-12B",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-15T11:35:08Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/mistralai-Mistral-Nemo-Instruct-2407-12B-MPOA-v1-GGUF | mradermacher | 2025-11-20T02:28:58Z | 1,486 | 1 | transformers | [
"transformers",
"gguf",
"en",
"fr",
"de",
"es",
"it",
"pt",
"ru",
"zh",
"ja",
"base_model:grimjim/mistralai-Mistral-Nemo-Instruct-2407-12B-MPOA-v1",
"base_model:quantized:grimjim/mistralai-Mistral-Nemo-Instruct-2407-12B-MPOA-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us... | null | 2025-11-20T01:56:44Z | ## 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... | [] |
RISys-Lab/RedSage-Qwen3-8B-DPO | RISys-Lab | 2026-02-09T11:07:25Z | 602 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"dpo",
"cybersecurity",
"chat",
"risys-lab",
"conversational",
"en",
"dataset:allenai/llama-3.1-tulu-3-8b-preference-mixture",
"arxiv:2601.22159",
"base_model:RISys-Lab/RedSage-Qwen3-8B-Ins",
"base_model:finetune:RISys-Lab/RedSage-... | text-generation | 2025-10-15T13:14:24Z | # RedSage-Qwen3-8B-DPO
<div align="center">
<img src="https://img.shields.io/badge/Task-Cybersecurity-red" alt="Cybersecurity">
<img src="https://img.shields.io/badge/Stage-DPO_Alignment-blue" alt="DPO">
</div>
## Model Summary
**RedSage-Qwen3-8B-DPO** is the final, aligned version of the RedSage cybersecurity ... | [] |
mradermacher/Optimus-7B-i1-GGUF | mradermacher | 2026-01-07T09:09:03Z | 121 | 1 | transformers | [
"transformers",
"gguf",
"Math",
"en",
"dataset:meta-math/MetaMathQA",
"base_model:Q-bert/Optimus-7B",
"base_model:quantized:Q-bert/Optimus-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-07T08:30:18Z | ## 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": 609,
"end": 627,
"text": "Optimus-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.7156255841255188
},
{
"start": 1177,
"end": 1195,
"text": "Optimus-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.6922025084495544
},
{
"start": 1343,
"end": 13... |
unsloth/Kimi-K2.5 | unsloth | 2026-01-27T11:05:42Z | 368 | 11 | transformers | [
"transformers",
"safetensors",
"kimi_k25",
"feature-extraction",
"unsloth",
"image-text-to-text",
"conversational",
"custom_code",
"base_model:moonshotai/Kimi-K2.5",
"base_model:quantized:moonshotai/Kimi-K2.5",
"license:other",
"compressed-tensors",
"region:us"
] | image-text-to-text | 2026-01-27T07:02:22Z | > [!NOTE]
> Includes Unsloth **chat template fixes**! <br> For `llama.cpp`, use `--jinja`
>
<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>
... | [] |
DavidAU/Gemma-3-27b-it-vl-SuperBrain7x-High-Reasoning-ULTRAMIND-Heretic-Uncensored | DavidAU | 2026-02-21T02:05:49Z | 255 | 7 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"uncensored",
"heretic",
"abliterated",
"unsloth",
"finetune",
"conversational",
"en",
"base_model:coder3101/gemma-3-27b-it-heretic",
"base_model:finetune:coder3101/gemma-3-27b-it-heretic",
"license:apache-2.0",
"text-generat... | image-text-to-text | 2026-02-13T00:07:43Z | <h2>Gemma-3-27b-it-vl-SuperBrain7x-High-Reasoning-ULTRAMIND-Heretic-Uncensored</h2>
This is a fully uncensored, full deep thinking Gemma 27B fine tune via Unsloth using the Superbrain 7x high reasoning dataset collection.
Image processing is intact and fully functional.
Reasoning affects:
- Image "intelligence"
- Ou... | [
{
"start": 990,
"end": 1003,
"text": "arc_challenge",
"label": "benchmark name",
"score": 0.7438943386077881
},
{
"start": 1004,
"end": 1012,
"text": "arc_easy",
"label": "benchmark name",
"score": 0.7364693880081177
},
{
"start": 1013,
"end": 1018,
"text"... |
Qwen/Qwen3-VL-32B-Instruct-GGUF | Qwen | 2025-11-01T03:20:18Z | 2,561 | 18 | transformers | [
"transformers",
"gguf",
"image-text-to-text",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-32B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-32B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational... | image-text-to-text | 2025-10-31T02:54:27Z | <a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
# Qwen3-VL-32B-Instruct-GGUF
This repository provides GGUF-format weights for [Qwe... | [] |
mradermacher/Huihui-granite-4.0-micro-abliterated-GGUF | mradermacher | 2025-10-03T18:15:34Z | 113 | 1 | transformers | [
"transformers",
"gguf",
"language",
"granite-4.0",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-granite-4.0-micro-abliterated",
"base_model:quantized:huihui-ai/Huihui-granite-4.0-micro-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational... | null | 2025-10-03T17:36:02Z | ## 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/claude-4.5-opus-distill-4b-GGUF | mradermacher | 2026-02-15T00:29:55Z | 398 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:rx-dev/claude-4.5-opus-distill-4b",
"base_model:quantized:rx-dev/claude-4.5-opus-distill-4b",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-14T23:34:31Z | ## 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... | [] |
YC-Chen/Breeze-7B-Instruct-v1_0-GGUF | YC-Chen | 2024-03-12T05:53:47Z | 222 | 22 | null | [
"gguf",
"text-generation",
"zh",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-03-11T15:19:35Z | # GGUF: Breeze-7B-Instruct-v1_0
Use [llama.cpp](https://github.com/ggerganov/llama.cpp) to convert [Breeze-7B-Instruct-v1_0](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v1_0) into 3 GGUF models.
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ---- |
| [breeze-7b-instruct... | [] |
spooknik/CenKreChro-SVDQ | spooknik | 2025-11-05T07:43:59Z | 178 | 36 | diffusers | [
"diffusers",
"Flux1",
"Chroma",
"Krea",
"SVDQaunt",
"CenKreChro",
"SVDQ",
"Quantization",
"text-to-image",
"en",
"base_model:Tiwaz/CenKreChro",
"base_model:quantized:Tiwaz/CenKreChro",
"region:us"
] | text-to-image | 2025-10-12T15:19:12Z | This repository contains Nunchaku-quantized (SVDQ) versions of [CenKreChro](https://civitai.com/models/1836040/cenkrechro), a text-to-image model based on Chroma and Flux Krea merged by [TiwazM](https://civitai.com/user/TiwazM)
If you like the model, please consider liking, reviewing and tipping the creator.
Model F... | [
{
"start": 1564,
"end": 1568,
"text": "PSNR",
"label": "evaluation metric",
"score": 0.7124043703079224
}
] |
Calandracas/gpt-oss-120b-Derestricted-GGUF | Calandracas | 2026-01-20T01:43:55Z | 907 | 5 | transformers | [
"transformers",
"gguf",
"gpt_oss",
"text-generation",
"abliterated",
"derestricted",
"gpt-oss-120b",
"openai",
"unlimited",
"uncensored",
"conversational",
"arxiv:2508.10925",
"base_model:ArliAI/gpt-oss-120b-Derestricted",
"base_model:quantized:ArliAI/gpt-oss-120b-Derestricted",
"license... | text-generation | 2025-11-30T04:43:00Z | # gpt-oss-120b-Derestricted-GGUF
GGUF and Quantization of gpt-oss-120b-Derestricted
<div align="left">
<img src=https://cdn-uploads.huggingface.co/production/uploads/6625f4a8a8d1362ebcc3851a/iyzgR89q50pp1T8HeeP15.png width="5%"/>
</div>
# Arli AI
# gpt-oss-120b-Derestricted
<div align="center">
<img src=https://cd... | [] |
mradermacher/zen-eco-4b-instruct-GGUF | mradermacher | 2026-03-19T03:20:34Z | 472 | 1 | transformers | [
"transformers",
"gguf",
"text-generation",
"zen",
"zenlm",
"hanzo",
"instruct",
"efficient",
"en",
"base_model:zenlm/zen-eco-4b-instruct",
"base_model:quantized:zenlm/zen-eco-4b-instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-09-26T10:08:22Z | ## 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/Moondark-12B-i1-GGUF | mradermacher | 2025-12-07T12:09:32Z | 1,710 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Vortex5/Moondark-12B",
"base_model:quantized:Vortex5/Moondark-12B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-12T16:59:39Z | ## 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_K... | [
{
"start": 462,
"end": 474,
"text": "Moondark-12B",
"label": "benchmark name",
"score": 0.6816415190696716
},
{
"start": 611,
"end": 631,
"text": "Moondark-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.7652361392974854
},
{
"start": 1183,
"end": 1203,
... |
ysong21/entropy-v1-fp8 | ysong21 | 2026-02-18T01:57:00Z | 333 | 5 | vllm | [
"vllm",
"safetensors",
"gemma3",
"gemma",
"text-rewrite",
"fp8",
"quantized",
"compressed-tensors",
"text-generation",
"conversational",
"dataset:N8Programs/unslop-good",
"base_model:google/gemma-3-27b-it",
"base_model:quantized:google/gemma-3-27b-it",
"license:gemma",
"region:us"
] | text-generation | 2026-02-10T07:10:22Z | <div align="center" style="width: 600px">
</div>
**Try this model on [Entropy Studio](https://getEntropy.ai)**
# Entropy v1 FP8 (Gemma 3 27B IT)
Entropy v1 FP8 is a **merged + FP8-quantize... | [
{
"start": 45,
"end": 59,
"text": "entropy-v1-fp8",
"label": "benchmark name",
"score": 0.633208692073822
}
] |
facebook/vjepa2-vitl-fpc64-256 | facebook | 2025-08-11T13:46:52Z | 67,278 | 185 | transformers | [
"transformers",
"safetensors",
"vjepa2",
"feature-extraction",
"video",
"video-classification",
"license:mit",
"endpoints_compatible",
"region:us"
] | video-classification | 2025-05-31T09:02:35Z | # V-JEPA 2
A frontier video understanding model developed by FAIR, Meta, which extends the pretraining objectives of [VJEPA](https://ai.meta.com/blog/v-jepa-yann-lecun-ai-model-video-joint-embedding-predictive-architecture/), resulting in state-of-the-art video understanding capabilities, leveraging data and model siz... | [] |
mradermacher/MasriSwitch-Gemma3n-Transcriber-v1-i1-GGUF | mradermacher | 2026-01-18T07:44:23Z | 158 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"gemma3n",
"egyptian",
"codeswitch",
"arabic",
"masry",
"en",
"ar",
"dataset:MohamedRashad/arabic-english-code-switching",
"base_model:oddadmix/MasriSwitch-Gemma3n-Transcriber-v1",
"base_model:quantized:oddadmix/MasriSwitch-Ge... | null | 2025-11-16T21:31:51Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
Jackrong/gpt-oss-120b-Distill-Phi-4-14B | Jackrong | 2025-10-02T04:47:38Z | 144 | 2 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-generation-inference",
"unsloth",
"phi4",
"question-answering",
"en",
"zh",
"dataset:Jackrong/Natural-Reasoning-gpt-oss-120B-S1",
"arxiv:2402.03300",
"arxiv:2504.21318",
"base_model:microsoft/phi-4",
"base_model:finetune:mi... | question-answering | 2025-09-24T00:36:02Z | <h3 align="center">Replication and Exploration of the DeepSeek-R1 《Nature》 Paper Methodology 🚀</h3>
- **Developed by:** Soren
- **gpt-oss-120b-Distill-Phi-4-14B** is a GRPO inference test model based on the `microsoft/phi-4` (14B) base model. It is fine-tuned through a three-stage training pipeline—**SFT (Cold Start... | [] |
dicta-il/DictaLM-3.0-24B-Base | dicta-il | 2025-12-01T23:22:45Z | 1,432 | 4 | null | [
"safetensors",
"mistral",
"pretrained",
"text-generation",
"en",
"he",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-10-23T20:16:27Z | [<img src="https://i.ibb.co/5Lbwyr1/dicta-logo.jpg" width="300px"/>](https://dicta.org.il)
# Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs
Dicta-LM 3.0 is a powerful open-weight collection of LLMs, trained on extensive corpora of Hebrew and English texts. The models are available for download and for... | [] |
mradermacher/chan-shitpost-2.5-llama-large-i1-GGUF | mradermacher | 2026-03-17T04:00:05Z | 887 | 1 | transformers | [
"transformers",
"gguf",
"4chan",
"shitpost",
"llama",
"en",
"dataset:simonko912/chan-shitpost-2.5",
"base_model:simonko912/chan-shitpost-2.5-llama-large",
"base_model:quantized:simonko912/chan-shitpost-2.5-llama-large",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2026-03-17T03:19:06Z | ## 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_... | [] |
TianheWu/VisualQuality-R1-7B | TianheWu | 2025-09-19T09:46:22Z | 1,713 | 11 | null | [
"safetensors",
"qwen2_5_vl",
"IQA",
"Reasoning",
"VLM",
"Pytorch",
"R1",
"GRPO",
"RL2R",
"reinforcement-learning",
"en",
"arxiv:2505.14460",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-7B-Instruct",
"license:mit",
"region:us"
] | reinforcement-learning | 2025-05-25T06:59:49Z | # VisualQuality-R1-7B
Our Paper has been accept as **spotlight** in NeurIPS 2025!
This is the latest version of VisualQuality-R1, trained on a diverse combination of synthetic and realistic datasets.<br>
Paper link: [arXiv](https://arxiv.org/abs/2505.14460)<br>
Code link: [github](https://github.com/TianheWu/VisualQual... | [
{
"start": 944,
"end": 950,
"text": "rating",
"label": "evaluation metric",
"score": 0.7119759321212769
},
{
"start": 987,
"end": 993,
"text": "rating",
"label": "evaluation metric",
"score": 0.8079483509063721
},
{
"start": 1294,
"end": 1300,
"text": "rat... |
TheBloke/SOLAR-10.7B-Instruct-v1.0-uncensored-GGUF | TheBloke | 2023-12-19T16:26:48Z | 5,233 | 103 | transformers | [
"transformers",
"gguf",
"solar",
"base_model:w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored",
"base_model:quantized:w4r10ck/SOLAR-10.7B-Instruct-v1.0-uncensored",
"license:apache-2.0",
"region:us"
] | null | 2023-12-19T16:20:38Z | <!-- markdownlint-disable MD041 -->
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content:... | [] |
AIRI-Institute/gena-lm-bert-base-athaliana | AIRI-Institute | 2025-09-10T16:18:51Z | 139 | 1 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"dna",
"custom_code",
"arxiv:2002.04745",
"endpoints_compatible",
"region:us"
] | fill-mask | 2024-04-17T13:28:40Z | # GENA-LM Athaliana 🌱 (gena-lm-bert-base-athaliana)
GENA-LM is a Family of Open-Source Foundational Models for Long DNA Sequences.
`gena-lm-bert-base-athaliana` is trained on Arabidopsis thaliana genome.
## Model description
GENA-LM (`gena-lm-bert-base-athaliana`) model is trained with a masked language model (MLM)... | [] |
mradermacher/DASD-4B-Thinking-GGUF | mradermacher | 2026-01-17T05:00:11Z | 302 | 16 | transformers | [
"transformers",
"gguf",
"en",
"dataset:Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b",
"dataset:Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b-Logprob",
"base_model:Alibaba-Apsara/DASD-4B-Thinking",
"base_model:quantized:Alibaba-Apsara/DASD-4B-Thinking",
"license:apache-2.0",
"endpoints_com... | null | 2026-01-14T22:35:12Z | ## 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": 520,
"end": 541,
"text": "DASD-4B-Thinking-GGUF",
"label": "benchmark name",
"score": 0.6533345580101013
},
{
"start": 1271,
"end": 1287,
"text": "DASD-4B-Thinking",
"label": "benchmark name",
"score": 0.6066749691963196
}
] |
cyankiwi/Qwen3-Next-80B-A3B-Instruct-AWQ-8bit | cyankiwi | 2026-02-03T16:52:54Z | 173 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3_next",
"text-generation",
"conversational",
"arxiv:2309.00071",
"arxiv:2404.06654",
"arxiv:2505.09388",
"arxiv:2501.15383",
"base_model:Qwen/Qwen3-Next-80B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-Next-80B-A3B-Instruct",
"license:apache-2.0",
"end... | text-generation | 2025-09-23T21:27:46Z | # Qwen3-Next-80B-A3B-Instruct AWQ - INT8
## Model Details
### Quantization Details
- **Quantization Method:** cyankiwi AWQ v1.0
- **Bits:** 8
- **Group Size:** 32
- **Calibration Dataset:** [nvidia/Llama-Nemotron-Post-Training-Dataset](https://huggingface.co/datasets/nvidia/Llama-Nemotron-Post-Training-Dataset)
- *... | [
{
"start": 441,
"end": 468,
"text": "Qwen3-Next-80B-A3B-Instruct",
"label": "benchmark name",
"score": 0.6558406352996826
},
{
"start": 475,
"end": 511,
"text": "Qwen3-Next-80B-A3B-Instruct-AWQ-8bit",
"label": "benchmark name",
"score": 0.7480061650276184
},
{
"st... |
prithivMLmods/Qwen3-VisionCaption-2B-Thinking-GGUF | prithivMLmods | 2025-12-03T16:36:45Z | 200 | 1 | transformers | [
"transformers",
"gguf",
"qwen3_vl",
"text-generation-inference",
"image-caption",
"abliterated",
"uncensored",
"llama.cpp",
"image-text-to-text",
"en",
"zh",
"dataset:prithivMLmods/blip3o-caption-mini-arrow",
"dataset:prithivMLmods/Caption3o-Opt-v2",
"base_model:prithivMLmods/Qwen3-VisionC... | image-text-to-text | 2025-12-02T11:54:03Z | # **Qwen3-VisionCaption-2B-Thinking-GGUF**
> [Qwen3-VisionCaption-2B-Thinking](https://huggingface.co/prithivMLmods/Qwen3-VisionCaption-2B-Thinking) is an abliterated v1.0 variant built upon Qwen3-VL-2B-Instruct-abliterated-v1, which originates from the Qwen3-VL-2B-Instruct architecture. It is specifically optimized f... | [] |
LiquidAI/LFM2-350M-Extract-GGUF | LiquidAI | 2026-04-06T18:53:24Z | 34,910 | 28 | transformers | [
"transformers",
"gguf",
"liquid",
"lfm2",
"edge",
"text-generation",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:LiquidAI/LFM2-350M-Extract",
"base_model:quantized:LiquidAI/LFM2-350M-Extract",
"license:other",
"endpoints_compatible",
"region:us",
"conversational... | text-generation | 2025-09-05T15:50:52Z | <center>
<div style="text-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>
<... | [] |
MaziyarPanahi/VibeThinker-1.5B-GGUF | MaziyarPanahi | 2025-11-20T12:47:58Z | 329 | 35 | null | [
"gguf",
"mistral",
"quantized",
"2-bit",
"3-bit",
"4-bit",
"5-bit",
"6-bit",
"8-bit",
"GGUF",
"text-generation",
"base_model:WeiboAI/VibeThinker-1.5B",
"base_model:quantized:WeiboAI/VibeThinker-1.5B",
"license:mit",
"region:us",
"conversational"
] | text-generation | 2025-11-17T14:14:35Z | # [MaziyarPanahi/VibeThinker-1.5B-GGUF](https://huggingface.co/MaziyarPanahi/VibeThinker-1.5B-GGUF)
- Model creator: [WeiboAI](https://huggingface.co/WeiboAI)
- Original model: [WeiboAI/VibeThinker-1.5B](https://huggingface.co/WeiboAI/VibeThinker-1.5B)
<blockquote style="border-left: 4px solid #ff6b6b; background-colo... | [] |
huihui-ai/Huihui-Qwen3-VL-235B-A22B-Instruct-abliterated-GGUF | huihui-ai | 2025-12-06T14:39:22Z | 438 | 22 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"GGUF",
"image-text-to-text",
"base_model:Qwen/Qwen3-VL-235B-A22B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-235B-A22B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-10-22T10:21:18Z | # huihui-ai/Huihui-Qwen3-VL-235B-A22B-Instruct-abliterated-GGUF
This is an uncensored version of [Qwen/Qwen3-VL-235B-A22B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers... | [] |
InternRobotics/InternVLA-A1-3B-RoboTwin | InternRobotics | 2026-02-27T16:02:56Z | 106 | 13 | null | [
"safetensors",
"robotics",
"vision-language-action-model",
"dataset:hxma/RoboTwin-LeRobot-v3.0",
"arxiv:2601.02456",
"base_model:InternRobotics/InternVLA-A1-3B",
"base_model:finetune:InternRobotics/InternVLA-A1-3B",
"license:cc-by-nc-sa-4.0",
"region:us"
] | robotics | 2026-01-23T07:03:53Z | # InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation
<div style="display: flex; justify-content: center; align-items: center; margin: 10px 0;">
<img src="https://huggingface.co/spaces/Jia-Zeng/InternVLA_A1_Media/resolve/main/teaser_internvla-a1.jpg" alt="Teaser Image" style="max-w... | [] |
Flurin17/whisper-large-v3-turbo-swiss-german | Flurin17 | 2026-04-17T07:12:43Z | 2,253 | 22 | transformers | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"speech-to-text",
"swiss-german",
"schweizerdeutsch",
"pytorch",
"de",
"gsw",
"base_model:openai/whisper-large-v3-turbo",
"base_model:finetune:openai/whisper-large-v3-turbo",
"license:cc-by-nc-4.0",
"model-index",
... | automatic-speech-recognition | 2025-05-22T08:00:55Z | # Whisper Large V3 Turbo Swiss German
This model is a fine-tuned version of `openai/whisper-large-v3-turbo` for Swiss German automatic speech recognition. It is intended to transcribe Swiss German speech into Standard German text.
The current upload corresponds to the best checkpoint from the March 20, 2026 retrainin... | [] |
Qwen/Qwen-Audio | Qwen | 2024-11-20T09:21:03Z | 1,616 | 147 | transformers | [
"transformers",
"safetensors",
"qwen",
"text-generation",
"audio-text-to-text",
"custom_code",
"zh",
"en",
"arxiv:2311.07919",
"region:us"
] | text-generation | 2023-11-30T08:52:37Z | # Qwen-Audio
<br>
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Audio/audio_logo.jpg" width="400"/>
<p>
<br>
<p align="center">
Qwen-Audio <a href="https://www.modelscope.cn/models/qwen/QWen-Audio/summary">🤖 <a> | <a href="https://huggingface.co/Qwen/Qwen-Audio">🤗</a... | [] |
minishlab/potion-multilingual-128M | minishlab | 2026-04-07T13:23:07Z | 133,997 | 48 | model2vec | [
"model2vec",
"onnx",
"safetensors",
"embeddings",
"static-embeddings",
"sentence-transformers",
"en",
"multilingual",
"af",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"co",
"cs",
"cy",
"da",
"de",
"el",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fil",
"fr"... | null | 2025-05-22T14:52:59Z | # potion-multilingual-128M Model Card
<div align="center">
<img width="35%" alt="Model2Vec logo" src="https://raw.githubusercontent.com/MinishLab/model2vec/main/assets/images/logo_v2.png">
</div>
This [Model2Vec](https://github.com/MinishLab/model2vec) model is pre-trained using [Tokenlearn](https://github.com/Min... | [] |
timm/MobileCLIP2-S4-OpenCLIP | timm | 2025-09-11T20:02:49Z | 1,137 | 1 | open_clip | [
"open_clip",
"safetensors",
"clip",
"mobileclip2",
"zero-shot-image-classification",
"arxiv:2508.20691",
"arxiv:2103.00020",
"arxiv:2303.15343",
"arxiv:2309.17425",
"license:apple-amlr",
"region:us"
] | zero-shot-image-classification | 2025-09-10T21:49:40Z | # Model card for MobileCLIP2-S4-OpenCLIP
These weights and model card are adapted from the original Apple model at https://huggingface.co/apple/MobileCLIP2-S4. This version uses canonical OpenCLIP configs and weight naming.
MobileCLIP2 was introduced in [MobileCLIP2: Improving Multi-Modal Reinforced Training](http://a... | [] |
mradermacher/DarkIdol-Aria-12B-GGUF | mradermacher | 2026-03-07T07:12:23Z | 1,011 | 1 | transformers | [
"transformers",
"gguf",
"roleplay",
"sillytavern",
"idol",
"youtube",
"google",
"pytorch",
"DarkIdol",
"en",
"base_model:aifeifei798/DarkIdol-Aria-12B",
"base_model:quantized:aifeifei798/DarkIdol-Aria-12B",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-07T06:00:19Z | ## 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": 364,
"end": 381,
"text": "DarkIdol-Aria-12B",
"label": "benchmark name",
"score": 0.6214714646339417
},
{
"start": 518,
"end": 540,
"text": "DarkIdol-Aria-12B-GGUF",
"label": "benchmark name",
"score": 0.6901532411575317
},
{
"start": 624,
"end": 64... |
mradermacher/Qwen3.5-9B-abliterated-v2-MAX-i1-GGUF | mradermacher | 2026-04-18T18:44:47Z | 1,875 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"refusal-ablated",
"vllm",
"pytorch",
"bf16",
"max",
"alignment-modified",
"reasoning",
"v2-MAX",
"llama.cpp",
"en",
"base_model:prithivMLmods/Qwen3.5-9B-abliterated-v2-MAX... | null | 2026-03-31T14:09:31Z | ## 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": 635,
"end": 672,
"text": "Qwen3.5-9B-abliterated-v2-MAX-i1-GGUF",
"label": "benchmark name",
"score": 0.7295757532119751
},
{
"start": 746,
"end": 780,
"text": "Qwen3.5-9B-abliterated-v2-MAX-GGUF",
"label": "benchmark name",
"score": 0.6663904190063477
},
{... |
OpenGVLab/InternVL3_5-14B | OpenGVLab | 2025-08-29T17:57:02Z | 6,628 | 27 | transformers | [
"transformers",
"safetensors",
"internvl_chat",
"feature-extraction",
"internvl",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"dataset:OpenGVLab/MMPR-Tiny",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2412.05271",
"arxiv:2411.1... | image-text-to-text | 2025-08-25T16:38:48Z | # 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... | [] |
tiiuae/Falcon-H1-Tiny-R-90M | tiiuae | 2026-01-30T11:29:51Z | 209 | 26 | transformers | [
"transformers",
"safetensors",
"falcon_h1",
"text-generation",
"falcon-h1",
"edge",
"conversational",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-12T13:15:30Z | <img src="https://cdn-uploads.huggingface.co/production/uploads/62441d1d9fdefb55a0b7d12c/l1du02RjuAZJcksI5tQ-F.png" alt="drawing" width="800"/>
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Training Details](#training-details)
3. [Usage](#usage)
4. [Evaluation](#evaluation)
5. [Citati... | [] |
mradermacher/Atlas-Pro-7B-Preview-GGUF | mradermacher | 2026-04-04T02:53:21Z | 357 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen2",
"trl",
"en",
"zh",
"fr",
"es",
"pt",
"de",
"it",
"ru",
"ja",
"ko",
"vi",
"th",
"ar",
"fa",
"he",
"tr",
"cs",
"pl",
"hi",
"bn",
"ur",
"id",
"ms",
"lo",
"my",
"ceb",
"km",
"tl",
... | null | 2025-01-27T14:45:42Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/aayanmishra-ml/Athena-R3-7B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model pa... | [] |
DavidAU/Qwen3.5-13B-Strict-Instruct | DavidAU | 2026-03-12T01:11:28Z | 150 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"unsloth",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
... | image-text-to-text | 2026-03-10T23:33:16Z | <small><font color="red">IMPORTANT:</font> This model has an upgraded Jinja template which repairs issues with org model (repeats, long thinking, loops) and upgrades/repairs to tool handling.</small>
<h2>Qwen3.5-13B-Strict-Instruct</h2>
This model contains TWO fine tunes (Deepseek 9B, Polaris 9B), merged AND expande... | [
{
"start": 276,
"end": 287,
"text": "Deepseek 9B",
"label": "benchmark name",
"score": 0.922397255897522
},
{
"start": 289,
"end": 299,
"text": "Polaris 9B",
"label": "benchmark name",
"score": 0.9333620071411133
},
{
"start": 1484,
"end": 1500,
"text": "S... |
lmstudio-community/Qwen2.5-VL-7B-Instruct-GGUF | lmstudio-community | 2025-05-08T22:21:42Z | 42,197 | 7 | null | [
"gguf",
"multimodal",
"image-text-to-text",
"en",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-VL-7B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-05-08T22:15:21Z | ## 💫 Community Model> Qwen2.5 VL 7B 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>
**Origin... | [] |
ibm-granite/granite-4.0-3b-vision | ibm-granite | 2026-04-30T14:47:51Z | 149,981 | 108 | transformers | [
"transformers",
"safetensors",
"granite4_vision",
"feature-extraction",
"image-text-to-text",
"conversational",
"custom_code",
"en",
"arxiv:2603.27064",
"arxiv:2404.19205",
"arxiv:2412.07626",
"arxiv:2512.10888",
"arxiv:2208.00385",
"arxiv:2502.09927",
"arxiv:2406.04334",
"license:apac... | image-text-to-text | 2026-03-03T18:03:28Z | # Granite 4.0 3B Vision
**Model Summary:**
Granite-4.0-3B-Vision is a vision-language model (VLM) designed for enterprise-grade
document data extraction. It focuses on specialized, complex extraction tasks that
ultracompact models often struggle with:
- **Chart extraction:** Converting charts into structured, machine... | [] |
jinaai/jina-embeddings-v3 | jinaai | 2026-04-08T14:04:08Z | 2,470,169 | 1,137 | transformers | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"feature-extraction",
"sentence-similarity",
"mteb",
"sentence-transformers",
"custom_code",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"... | feature-extraction | 2024-09-05T11:56:46Z | <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>
<p align="center">
<b>The embedding model trained by <a href="https://jina.ai/"><b>Jina AI</b></a>.</b>
</p>
<p align="ce... | [] |
seyonec/ChemBERTa-zinc-base-v1 | seyonec | 2021-05-20T20:55:33Z | 96,431 | 63 | transformers | [
"transformers",
"pytorch",
"jax",
"roberta",
"fill-mask",
"chemistry",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | # ChemBERTa: Training a BERT-like transformer model for masked language modelling of chemical SMILES strings.
Deep learning for chemistry and materials science remains a novel field with lots of potiential. However, the popularity of transfer learning based methods in areas such as NLP and computer vision have not yet... | [
{
"start": 563,
"end": 567,
"text": "ZINC",
"label": "benchmark name",
"score": 0.8933108448982239
},
{
"start": 579,
"end": 586,
"text": "RoBERTa",
"label": "benchmark name",
"score": 0.6274145841598511
},
{
"start": 638,
"end": 643,
"text": "0.398",
... |
onnx-community/cohere-transcribe-03-2026-ONNX | onnx-community | 2026-03-30T17:27:09Z | 1,406 | 4 | transformers.js | [
"transformers.js",
"onnx",
"cohere_asr",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"speech-recognition",
"transcription",
"ar",
"de",
"el",
"en",
"es",
"fr",
"it",
"ja",
"ko",
"nl",
"pl",
"pt",
"vi",
"zh",
"base_model:CohereLabs/cohere-transcribe-03-2... | automatic-speech-recognition | 2026-03-27T03:31:02Z | # Cohere Transcribe
Cohere Transcribe is an open source release of a 2B parameter dedicated audio-in, text-out, automatic speech recognition (ASR) model. The model supports 14 languages.
Developed by: [Cohere](https://cohere.com) and [Cohere Labs](https://cohere.com/research).
* Point of Contact: [Cohere Labs](https... | [] |
mradermacher/GUI-Owl-7B-GGUF | mradermacher | 2025-08-22T21:22:56Z | 338 | 3 | transformers | [
"transformers",
"gguf",
"arxiv:2508.15144",
"en",
"base_model:mPLUG/GUI-Owl-7B",
"base_model:quantized:mPLUG/GUI-Owl-7B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-22T20:03:31Z | ## 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 qu... | [] |
huihui-ai/Huihui-Qwen3-VL-32B-Thinking-abliterated | huihui-ai | 2025-12-15T07:46:14Z | 407 | 28 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"abliterated",
"uncensored",
"conversational",
"base_model:Qwen/Qwen3-VL-32B-Thinking",
"base_model:finetune:Qwen/Qwen3-VL-32B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-10-23T03:32:49Z | # huihui-ai/Huihui-Qwen3-VL-32B-Thinking-abliterated
This is an uncensored version of [Qwen/Qwen3-VL-32B-Thinking](https://huggingface.co/Qwen/Qwen3-VL-32B-Thinking) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it... | [
{
"start": 479,
"end": 494,
"text": "UGI Leaderboard",
"label": "benchmark name",
"score": 0.7862538695335388
},
{
"start": 520,
"end": 535,
"text": "UGI Leaderboard",
"label": "benchmark name",
"score": 0.7991634607315063
}
] |
dicta-il/DictaLM-3.0-24B-Thinking | dicta-il | 2026-01-28T20:36:00Z | 427 | 9 | null | [
"safetensors",
"mistral",
"pretrained",
"text-generation",
"conversational",
"en",
"he",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-12-01T19:55:51Z | [<img src="https://i.ibb.co/5Lbwyr1/dicta-logo.jpg" width="300px"/>](https://dicta.org.il)
# Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs
Dicta-LM 3.0 is a powerful open-weight collection of LLMs, trained on extensive corpora of Hebrew and English texts. The models are available for download and for... | [] |
TriadParty/deepmoney-34b-200k-base | TriadParty | 2024-01-22T02:01:32Z | 987 | 74 | transformers | [
"transformers",
"pytorch",
"llama",
"text-generation",
"finance",
"invest",
"en",
"zh",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-01-07T23:58:33Z | # **Deepmoney**
***Sft Versions:***
[67b Chat](https://huggingface.co/TriadParty/deepmoney-67b-chat)
[34b Chat](https://huggingface.co/TriadParty/deepmoney-34b-200k-chat-e... | [] |
TheCluster/Qwen3.5-9B-Ultra-Heretic-MLX-8bit | TheCluster | 2026-03-15T02:27:07Z | 484 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"heretic",
"uncensored",
"unrestricted",
"decensored",
"abliterated",
"image-text-to-text",
"conversational",
"base_model:llmfan46/Qwen3.5-9B-ultra-heretic",
"base_model:quantized:llmfan46/Qwen3.5-9B-ultra-heretic",
"license:apache-2.0",
"8-bit",
"region:... | image-text-to-text | 2026-03-15T02:18:41Z | <div align="center"><img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png"></div>
# Qwen3.5-9B Ultra Heretic
**Quality**: quantized (*8 bit, affine, group size: 32, 9.340 bpw*)
This is a abliterated (**uncensored**) version of [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9... | [
{
"start": 120,
"end": 130,
"text": "Qwen3.5-9B",
"label": "benchmark name",
"score": 0.6894499659538269
},
{
"start": 541,
"end": 551,
"text": "Qwen3.5-9B",
"label": "benchmark name",
"score": 0.65938401222229
},
{
"start": 656,
"end": 669,
"text": "KL di... |
tencent/HY-MT1.5-7B | tencent | 2026-03-20T07:09:01Z | 5,853 | 143 | transformers | [
"transformers",
"safetensors",
"hunyuan_v1_dense",
"text-generation",
"translation",
"zh",
"en",
"fr",
"pt",
"es",
"ja",
"tr",
"ru",
"ar",
"ko",
"th",
"it",
"de",
"vi",
"ms",
"id",
"tl",
"hi",
"pl",
"cs",
"nl",
"km",
"my",
"fa",
"gu",
"ur",
"te",
"mr",... | translation | 2025-12-25T10:45:31Z | <p align="center">
<img src="https://github.com/Tencent-Hunyuan/HY-MT/raw/main/imgs/hunyuanlogo.png" width="400"/>
</p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/tencent/hy-mt15"><b>Hugging Face</b></a> |
🕹️ <a href="https://hunyuan.tencent.com/chat/Hun... | [] |
mradermacher/gemma-3-12b-it-MPOA-v2-12B-GGUF | mradermacher | 2026-01-05T17:37:25Z | 131 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:grimjim/gemma-3-12b-it-MPOA-v2-12B",
"base_model:quantized:grimjim/gemma-3-12b-it-MPOA-v2-12B",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-05T16:24:19Z | ## 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... | [] |
byteshape/Devstral-Small-2-24B-Instruct-2512-GGUF | byteshape | 2026-02-18T00:25:33Z | 5,118 | 21 | transformers | [
"transformers",
"gguf",
"mistral",
"devstral",
"byteshape",
"text-generation",
"base_model:mistralai/Devstral-Small-2-24B-Instruct-2512",
"base_model:quantized:mistralai/Devstral-Small-2-24B-Instruct-2512",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-02-17T23:25:04Z | # Devstral-Small-2-24B-Instruct-2512 GGUF (ShapeLearn Quantized)
This is a GGUF-quantized version of Devstral-Small-2-24B-Instruct-2512 produced with **ByteShape's ShapeLearn**, which learns the optimal datatype per tensor to maintain high quality even at very low bitlengths.
To see interactive plots and benchmarks f... | [
{
"start": 842,
"end": 849,
"text": "BFCL-V3",
"label": "benchmark name",
"score": 0.6501704454421997
},
{
"start": 851,
"end": 867,
"text": "LiveCodeBench V6",
"label": "benchmark name",
"score": 0.7381360530853271
},
{
"start": 869,
"end": 878,
"text": "... |
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