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 |
|---|---|---|---|---|---|---|---|---|---|---|
51la5/roberta-large-NER | 51la5 | 2022-10-17T08:36:02Z | 18,087 | 53 | transformers | [
"transformers",
"pytorch",
"rust",
"xlm-roberta",
"token-classification",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
... | token-classification | 2022-10-17T08:25:02Z | # xlm-roberta-large-finetuned-conll03-english
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Bias, Risks, and Limitations](#bias-risks-and-limitations)
4. [Training](#training)
5. [Evaluation](#evaluation)
6. [Environmental Impact](#environmental-impact)
7. [Technical Specifications](#te... | [] |
huihui-ai/Huihui-Mistral-Small-3.2-24B-Instruct-2506-abliterated-v2 | huihui-ai | 2025-09-11T14:12:16Z | 2,935 | 9 | vllm | [
"vllm",
"safetensors",
"mistral3",
"abliterated",
"uncensored",
"image-text-to-text",
"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/Mist... | image-text-to-text | 2025-09-11T13:33:52Z | # huihui-ai/Huihui-Mistral-Small-3.2-24B-Instruct-2506-abliterated-v2
This is an uncensored version of [mistralai/Mistral-Small-3.2-24B-Instruct-2506](https://huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/r... | [] |
MaziyarPanahi/Phi-4-mini-instruct-GGUF | MaziyarPanahi | 2025-03-01T10:59:15Z | 90,352 | 12 | null | [
"gguf",
"mistral",
"quantized",
"2-bit",
"3-bit",
"4-bit",
"5-bit",
"6-bit",
"8-bit",
"GGUF",
"text-generation",
"base_model:microsoft/Phi-4-mini-instruct",
"base_model:quantized:microsoft/Phi-4-mini-instruct",
"region:us",
"conversational"
] | text-generation | 2025-03-01T10:43:15Z | # [MaziyarPanahi/Phi-4-mini-instruct-GGUF](https://huggingface.co/MaziyarPanahi/Phi-4-mini-instruct-GGUF)
- Model creator: [microsoft](https://huggingface.co/microsoft)
- Original model: [microsoft/Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct)
## Description
[MaziyarPanahi/Phi-4-mini-instr... | [] |
facebook/metaclip-2-worldwide-m16-384 | facebook | 2025-11-24T11:10:57Z | 907 | 2 | transformers | [
"transformers",
"safetensors",
"metaclip_2",
"zero-shot-image-classification",
"clip",
"multilingual",
"arxiv:2507.22062",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2025-11-24T11:06:03Z | # Model Card for Distilled MetaCLIP 2 ViT-M/16 (384px) (worldwide)
Distilled MetaCLIP 2 (worldwide) was presented in [MetaCLIP 2: A Worldwide Scaling Recipe](https://huggingface.co/papers/2507.22062).
This checkpoint corresponds to "ViT-M-16-384-worldwide" of the [original implementation](https://github.com/facebookr... | [] |
mradermacher/replay-en-14b-GGUF | mradermacher | 2026-03-18T14:44:09Z | 355 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:hugo/replay-en-14b",
"base_model:quantized:hugo/replay-en-14b",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-18T14:28:09Z | ## 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: -->
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static q... | [] |
dnhkng/RYS-Qwen3.5-27B-FP8-S | dnhkng | 2026-03-23T20:34:47Z | 127 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-27B",
"base_model:quantized:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"endpoints_compatible",
"fp8",
"region:us"
] | image-text-to-text | 2026-03-23T16:30:02Z | # RYS-Qwen3.5-27B-FP8-S - *See https://dnhkng.github.io/posts/rys-ii/*
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
[](https://chat.qwen.ai)
> [!Note]
> This repository contains FP8-q... | [
{
"start": 630,
"end": 649,
"text": "performance metrics",
"label": "evaluation metric",
"score": 0.68022620677948
}
] |
mradermacher/Orca-Agent-v0.1-GGUF | mradermacher | 2025-11-06T00:19:47Z | 204 | 1 | transformers | [
"transformers",
"gguf",
"agent",
"code",
"multi-agent",
"en",
"dataset:Danau5tin/terminal-tasks",
"base_model:Danau5tin/Orca-Agent-v0.1",
"base_model:quantized:Danau5tin/Orca-Agent-v0.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-05T20:21:47Z | ## 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: -->
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static q... | [] |
litert-community/DeepSeek-R1-Distill-Qwen-1.5B | litert-community | 2025-09-22T17:58:04Z | 251,492 | 36 | litert-lm | [
"litert-lm",
"tflite",
"chat",
"text-generation",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"base_model:finetune:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"license:mit",
"region:us"
] | text-generation | 2025-02-14T22:51:45Z | # litert-community/DeepSeek-R1-Distill-Qwen-1.5B
This model provides a few variants of
[deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) that are ready for
deployment on Android using the
[LiteRT (fka TFLite) stack](https://ai.google.dev/edge/litert),
[MediaP... | [] |
TheBloke/Mistral-7B-v0.1-GGUF | TheBloke | 2023-09-28T22:42:44Z | 8,361 | 275 | transformers | [
"transformers",
"gguf",
"mistral",
"pretrained",
"text-generation",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:quantized:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | text-generation | 2023-09-27T16:17:24Z | <!-- 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: space-between; width: 100%;">
<d... | [] |
mradermacher/OpenForecaster-8B-i1-GGUF | mradermacher | 2026-01-01T18:38:13Z | 250 | 1 | transformers | [
"transformers",
"gguf",
"forecasting",
"reasoning",
"question-answering",
"reinforcement-learning",
"calibration",
"en",
"dataset:nikhilchandak/OpenForesight",
"base_model:nikhilchandak/OpenForecaster-8B",
"base_model:quantized:nikhilchandak/OpenForecaster-8B",
"license:mit",
"endpoints_comp... | question-answering | 2026-01-01T17:12:59Z | ## 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_... | [] |
Hcompany/Holo2-8B | Hcompany | 2026-03-18T14:10:21Z | 757 | 25 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"multimodal",
"action",
"agent",
"pytorch",
"computer use",
"gui agents",
"conversational",
"en",
"base_model:Qwen/Qwen3-VL-8B-Thinking",
"base_model:finetune:Qwen/Qwen3-VL-8B-Thinking",
"license:apache-2.0",
"eval-result... | image-text-to-text | 2025-11-10T11:32:26Z | # **Holo2: Foundational Models for Navigation and Computer Use Agents**
[](https://github.com/hcompai/hai-cookbook/tree/main/holo2)
## **Model Description**
**Holo2** represents the next major step in develop... | [] |
llmfan46/gemma-4-26B-A4B-it-uncensored-heretic | llmfan46 | 2026-05-04T02:01:55Z | 522 | 5 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"conversational",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:finetune:google/gemma-4-26B-A4B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us"... | image-text-to-text | 2026-04-07T00:57:30Z | <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... | [] |
mradermacher/Llama-SEA-LION-v3-8B-IT-Magic_decensored-GGUF | mradermacher | 2026-01-30T00:50:08Z | 150 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"zh",
"vi",
"id",
"th",
"fil",
"ta",
"ms",
"km",
"lo",
"my",
"jv",
"su",
"base_model:MagicalAlchemist/Llama-SEA-LION-v3-8B-IT-Magic_decensored",
"base_model:quantized:MagicalAlchemist/Llama-SE... | null | 2026-01-27T10:53:15Z | ## 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: -->
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static q... | [] |
Marvis-AI/marvis-tts-100m-v0.2 | Marvis-AI | 2025-11-06T21:30:41Z | 575 | 29 | transformers | [
"transformers",
"safetensors",
"csm",
"text-to-audio",
"mlx",
"mlx-audio",
"en",
"fr",
"de",
"dataset:amphion/Emilia-Dataset",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-to-audio | 2025-10-23T21:38:19Z | # Introduction
[[code](https://github.com/Marvis-Labs/marvis-tts)]
Marvis is a cutting-edge conversational speech model designed to enable real-time streaming text-to-speech synthesis. Built with efficiency and accessibility in mind, Marvis addresses the growing need for high-quality, real-time voice synthesis that ca... | [] |
mradermacher/Qwen3-ST-The-Next-Generation-II-E32-v1-256k-ctx-6B-i1-GGUF | mradermacher | 2025-12-04T21:06:38Z | 343 | 2 | transformers | [
"transformers",
"gguf",
"programming",
"code generation",
"code",
"coding",
"coder",
"chat",
"brainstorm",
"qwen",
"qwen3",
"qwencoder",
"brainstorm 20x",
"creative",
"all uses cases",
"Jan-V1",
"float32",
"horror",
"32 bit precision",
"science fiction",
"fantasy",
"Star Tr... | null | 2025-09-11T01:35:14Z | ## 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": 512,
"text": "Qwen3-ST-The-Next-Generation-II-E32-v1-256k-ctx-6B",
"label": "benchmark name",
"score": 0.7233791351318359
},
{
"start": 649,
"end": 707,
"text": "Qwen3-ST-The-Next-Generation-II-E32-v1-256k-ctx-6B-i1-GGUF",
"label": "benchmark name",
... |
mradermacher/Gliese-Qwen3.5-2B-Abliterated-Caption-i1-GGUF | mradermacher | 2026-03-12T07:46:47Z | 4,527 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"pytorch",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"refusal-ablated",
"vllm",
"bf16",
"max",
"alignment-modified",
"reasoning",
"en",
"zh",
"base_model:prithivMLmods/Gliese-Qwen3.5-2B-Abliterated-Caption",
"base_... | null | 2026-03-12T07:31:36Z | ## 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": 469,
"end": 506,
"text": "Gliese-Qwen3.5-2B-Abliterated-Caption",
"label": "benchmark name",
"score": 0.6681904196739197
},
{
"start": 643,
"end": 688,
"text": "Gliese-Qwen3.5-2B-Abliterated-Caption-i1-GGUF",
"label": "benchmark name",
"score": 0.75957983732223... |
ibm-granite/granite-speech-3.3-8b | ibm-granite | 2026-04-02T14:39:55Z | 74,204 | 164 | transformers | [
"transformers",
"safetensors",
"granite_speech",
"automatic-speech-recognition",
"multilingual",
"en",
"fr",
"de",
"es",
"pt",
"arxiv:2505.08699",
"base_model:ibm-granite/granite-3.3-8b-instruct",
"base_model:finetune:ibm-granite/granite-3.3-8b-instruct",
"license:apache-2.0",
"eval-resu... | automatic-speech-recognition | 2025-04-14T15:43:11Z | # Granite-speech-3.3-8b (revision 3.3.2)
**Model Summary:**
Granite-speech-3.3-8b is a compact and efficient speech-language model, specifically designed for automatic speech recognition (ASR) and automatic speech translation (AST). Granite-speech-3.3-8b uses a two-pass design, unlike integrated models that combine sp... | [] |
Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF | Alcoft | 2025-09-10T17:28:02Z | 394 | 1 | null | [
"gguf",
"dnotitia",
"nlp",
"llm",
"conversation",
"chat",
"reasoning",
"text-generation",
"en",
"base_model:dnotitia/Smoothie-Qwen3-1.7B",
"base_model:quantized:dnotitia/Smoothie-Qwen3-1.7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-09-10T17:18:44Z | |Quant|Size|Description|
|---|---|---|
|[Q2_K_XXS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-1.7B_Q2_K_XXS.gguf)|595.71 MB|Not recommended for most people. Extremelly low quality.|
|[Q2_K_XS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-1.7B-GGUF/resol... | [] |
OpenGVLab/InternVL3_5-4B-Flash | OpenGVLab | 2025-09-28T06:42:09Z | 417 | 3 | 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 | 2025-09-28T05:49:06Z | # InternVL3_5-4B-Flash
[\[📂 GitHub\]](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.... | [] |
tuner007/pegasus_paraphrase | tuner007 | 2021-03-22T21:11:33Z | 43,407 | 201 | transformers | [
"transformers",
"pytorch",
"pegasus",
"text2text-generation",
"paraphrasing",
"seq2seq",
"en",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | 2022-03-02T23:29:05Z | ## Model description
[PEGASUS](https://github.com/google-research/pegasus) fine-tuned for paraphrasing
## Model in Action 🚀
```
import torch
from transformers import PegasusForConditionalGeneration, PegasusTokenizer
model_name = 'tuner007/pegasus_paraphrase'
torch_device = 'cuda' if torch.cuda.is_available() else 'cp... | [
{
"start": 387,
"end": 418,
"text": "PegasusForConditionalGeneration",
"label": "benchmark name",
"score": 0.6024217009544373
}
] |
mradermacher/Heretic-Qwen3-VL-235B-A22B-Instruct-GGUF | mradermacher | 2025-12-22T14:54:54Z | 373 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:KaraKaraWitch/Heretic-Qwen3-VL-235B-A22B-Instruct",
"base_model:quantized:KaraKaraWitch/Heretic-Qwen3-VL-235B-A22B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversati... | null | 2025-12-20T17:44:31Z | ## 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: -->
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static q... | [] |
zai-org/Glyph | zai-org | 2025-10-25T12:31:20Z | 3,272 | 73 | transformers | [
"transformers",
"safetensors",
"glm4v",
"image-text-to-text",
"conversational",
"zh",
"en",
"arxiv:2510.17800",
"base_model:zai-org/GLM-4.1V-9B-Base",
"base_model:finetune:zai-org/GLM-4.1V-9B-Base",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-text-to-text | 2025-10-25T06:19:07Z | <h1>Glyph: Scaling Context Windows via Visual-Text Compression</h1>
- **Repository:** https://github.com/thu-coai/Glyph
- **Paper:** https://arxiv.org/abs/2510.17800
<p align="center">
<img src="https://raw.githubusercontent.com/thu-coai/Glyph/main/assets/intro.png" alt="abs" style="width:60%;" />
</p>
**Glyph** ... | [] |
BAAI/BGE-VL-large | BAAI | 2026-04-10T06:21:47Z | 1,056 | 21 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"clip",
"multimodal-retrieval",
"embedding-model",
"sentence-similarity",
"custom_code",
"en",
"arxiv:2412.14475",
"base_model:openai/clip-vit-large-patch14",
"base_model:finetune:openai/clip-vit-large-patch14",
"license:mit",
"endpoints_compatible",
... | sentence-similarity | 2025-02-25T03:17:49Z | <h1 align="center">MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval</h1>
<p align="center">
<a href="https://arxiv.org/abs/2412.14475">
<img alt="Build" src="http://img.shields.io/badge/cs.CV-arXiv%3A2412.14475-B31B1B.svg">
</a>
<a href="https://github.com/VectorSpaceLab/MegaPai... | [] |
p-e-w/Llama-3.1-8B-Instruct-heretic | p-e-w | 2025-11-15T12:37:30Z | 440 | 11 | null | [
"safetensors",
"llama",
"facebook",
"unsloth",
"meta",
"pytorch",
"llama-3",
"heretic",
"uncensored",
"decensored",
"abliterated",
"text-generation",
"conversational",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"arxiv:2204.05149",
"base_model:meta-llama/Llama-3.1-8B-... | text-generation | 2025-11-15T12:36:13Z | # This is a decensored version of [unsloth/Llama-3.1-8B-Instruct](https://huggingface.co/unsloth/Llama-3.1-8B-Instruct), made using [Heretic](https://github.com/p-e-w/heretic) v1.0.0
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 13.20 |
| **attn.o_proj.max_weight** | 1... | [
{
"start": 504,
"end": 537,
"text": "mlp.down_proj.max_weight_position",
"label": "evaluation metric",
"score": 0.6099629998207092
},
{
"start": 594,
"end": 627,
"text": "mlp.down_proj.min_weight_distance",
"label": "evaluation metric",
"score": 0.6609229445457458
}
] |
mradermacher/Qwen3.5-35B-A3B-Base-i1-GGUF | mradermacher | 2026-02-26T18:00:25Z | 24,560 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Qwen/Qwen3.5-35B-A3B-Base",
"base_model:quantized:Qwen/Qwen3.5-35B-A3B-Base",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-26T09:54:59Z | ## 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_... | [
{
"start": 617,
"end": 645,
"text": "Qwen3.5-35B-A3B-Base-i1-GGUF",
"label": "benchmark name",
"score": 0.6163293123245239
}
] |
Intel/MiniMax-M2-REAP-172B-A10B-gguf-q2ks-mixed-AutoRound | Intel | 2026-02-09T02:31:08Z | 110 | 10 | null | [
"gguf",
"arxiv:2309.05516",
"base_model:cerebras/MiniMax-M2-REAP-172B-A10B",
"base_model:quantized:cerebras/MiniMax-M2-REAP-172B-A10B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-12T05:40:40Z | ## Model Details
This model is a mixed gguf q2ks format of [cerebras/MiniMax-M2-REAP-172B-A10B](https://huggingface.co/cerebras/MiniMax-M2-REAP-172B-A10B) generated by [intel/auto-round](https://github.com/intel/auto-round) algorithm. Embedding layer and lm-head layer are fallback to 8 bits and non expert layers ar... | [] |
ai-sage/GigaChat3.1-10B-A1.8B | ai-sage | 2026-03-25T20:06:46Z | 939 | 19 | transformers | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"instruct",
"moe",
"multilingual",
"fp8",
"tool-use",
"long-context",
"conversational",
"ru",
"en",
"base_model:ai-sage/GigaChat3-10B-A1.8B-base",
"base_model:quantized:ai-sage/GigaChat3-10B-A1.8B-base",
"license:mit",
... | text-generation | 2026-03-21T10:22:10Z | # GigaChat 3.1 Lightning
`GigaChat 3.1 Lightning` is the compact instruct model of the GigaChat 3.1 family. It is a Mixture-of-Experts (MoE) model with 10B total parameters and 1.8B active parameters, designed for fast multilingual assistant workloads, reasoning, code, function calling, and product-style deployment.
... | [] |
parler-tts/parler-tts-mini-v1 | parler-tts | 2024-11-25T11:26:20Z | 37,495 | 153 | transformers | [
"transformers",
"safetensors",
"parler_tts",
"text-generation",
"text-to-speech",
"annotation",
"en",
"dataset:parler-tts/mls_eng",
"dataset:parler-tts/libritts_r_filtered",
"dataset:parler-tts/libritts-r-filtered-speaker-descriptions",
"dataset:parler-tts/mls-eng-speaker-descriptions",
"arxiv... | text-to-speech | 2024-06-26T09:14:29Z | <img src="https://huggingface.co/datasets/parler-tts/images/resolve/main/thumbnail.png" alt="Parler Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Parler-TTS Mini v1
<a target="_blank" href="https://huggingface.co/spaces/parler-tts/parler_tts">
<img src="https://huggingface.co... | [] |
hf-audio/xcodec-wavlm-more-data | hf-audio | 2025-10-08T15:57:05Z | 1,519 | 1 | transformers | [
"transformers",
"safetensors",
"xcodec",
"feature-extraction",
"dataset:parler-tts/mls_eng",
"base_model:microsoft/wavlm-base-plus",
"base_model:finetune:microsoft/wavlm-base-plus",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2025-08-18T09:14:44Z | # X-Codec (speech, WavLM)
This codec is part of the X-Codec family of codecs as shown below:
| Model checkpoint | Semantic Model | Domain | Training Data |
|--------------------------------------------|-----... | [] |
jonatasgrosman/wav2vec2-large-xlsr-53-russian | jonatasgrosman | 2022-12-14T01:58:43Z | 6,612,664 | 66 | transformers | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_6_0",
"robust-speech-event",
"ru",
"speech",
"xlsr-fine-tuning-week",
"dataset:common_voice",
"dataset:mozilla-foundation/common_voice_6_0",
"doi:... | automatic-speech-recognition | 2022-03-02T23:29:05Z | # Fine-tuned XLSR-53 large model for speech recognition in Russian
Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Russian using the train and validation splits of [Common Voice 6.1](https://huggingface.co/datasets/common_voice) and [CSS10](https://github.com/Kyu... | [] |
mradermacher/EuroLLM-22B-Instruct-2512-FT-i1-GGUF | mradermacher | 2026-02-08T12:32:41Z | 361 | 1 | transformers | [
"transformers",
"gguf",
"EuroLLM",
"llama",
"philosophy",
"text",
"roleplay",
"mental-health-helper",
"en",
"de",
"es",
"fr",
"it",
"pt",
"pl",
"nl",
"tr",
"sv",
"cs",
"el",
"hu",
"ro",
"fi",
"uk",
"sl",
"sk",
"da",
"lt",
"lv",
"et",
"bg",
"no",
"ca",
... | null | 2026-02-08T06:56:16Z | ## 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_... | [] |
microsoft/bitnet-b1.58-2B-4T-bf16 | microsoft | 2025-12-17T18:12:29Z | 6,586 | 36 | transformers | [
"transformers",
"safetensors",
"bitnet",
"text-generation",
"chat",
"large-language-model",
"conversational",
"custom_code",
"en",
"arxiv:2504.12285",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-04-15T04:23:53Z | # BitNet b1.58 2B4T - Scaling Native 1-bit LLM
This repository contains the weights for **BitNet b1.58 2B4T**, the first open-source, native 1-bit Large Language Model (LLM) at the 2-billion parameter scale, developed by Microsoft Research.
Trained on a corpus of 4 trillion tokens, this model demonstrates that native... | [] |
cs2764/Huihui-Qwen3.5-27B-abliterated-Q6_K-GGUF | cs2764 | 2026-02-28T00:57:56Z | 586 | 1 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"base_model:huihui-ai/Huihui-Qwen3.5-27B-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3.5-27B-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversa... | image-text-to-text | 2026-02-28T00:55:02Z | # cs2764/Huihui-Qwen3.5-27B-abliterated-Q6_K-GGUF
This model was converted to GGUF format from [`huihui-ai/Huihui-Qwen3.5-27B-abliterated`](https://huggingface.co/huihui-ai/Huihui-Qwen3.5-27B-abliterated) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer ... | [] |
MBZUAI/MedMO-4B-Next | MBZUAI | 2026-03-12T10:03:09Z | 2,667 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"medical",
"multimodal",
"grounding",
"report-generation",
"radiology",
"clinical-reasoning",
"mri",
"ct",
"histopathology",
"x-ray",
"fundus",
"conversational",
"arxiv:2602.06965",
"license:apache-2.0",
"endpoints_... | image-text-to-text | 2026-03-11T21:48:07Z | # MedMO-8B-Next: Grounding and Understanding Multimodal Large Language Model for Medical Images
[](https://arxiv.org/abs/2602.06965)
[](https://huggingface.co/MBZUAI/MedMO-4B)
[![Model](https://img.shields.io/... | [
{
"start": 2,
"end": 15,
"text": "MedMO-8B-Next",
"label": "benchmark name",
"score": 0.752119243144989
},
{
"start": 380,
"end": 393,
"text": "MedMO-4B-Next",
"label": "benchmark name",
"score": 0.6106831431388855
},
{
"start": 587,
"end": 600,
"text": "M... |
openai/circuit-sparsity | openai | 2025-12-12T07:36:26Z | 1,060 | 203 | transformers | [
"transformers",
"safetensors",
"circuitgpt",
"text-generation",
"custom_code",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-12-11T22:39:34Z | ## Sparse Model from Gao et al. 2025
Weights for a sparse model from Gao et al. 2025, used for the qualitative results from the paper (related to bracket counting and variable binding). All weights for the other models used in the paper, as well as lightweight inference code, are present in https://github.com/openai/c... | [] |
mradermacher/translategemma-4b-it-i1-GGUF | mradermacher | 2026-01-16T09:00:06Z | 877 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:google/translategemma-4b-it",
"base_model:quantized:google/translategemma-4b-it",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-16T08:29:09Z | ## 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_... | [] |
MLP-KTLim/llama-3-Korean-Bllossom-8B | MLP-KTLim | 2024-12-18T12:18:13Z | 5,193 | 389 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"ko",
"arxiv:2403.10882",
"arxiv:2403.11399",
"base_model:meta-llama/Meta-Llama-3-8B",
"base_model:finetune:meta-llama/Meta-Llama-3-8B",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",... | text-generation | 2024-04-25T10:16:43Z | <a href="https://github.com/MLP-Lab/Bllossom">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64a90711c05da19ca834f690/a0VE5UCY1HCEhaHtp3mGa.png" alt="image" width="30%" height="30%">
</a>
# Update!
* ~~[2024.08.09] Llama3.1 버전을 기반으로한 Bllossom-8B로 모델을 업데이트 했습니다. 기존 llama3기반 Bllossom 보다 평균 5%정도 성능 ... | [
{
"start": 36,
"end": 44,
"text": "Bllossom",
"label": "benchmark name",
"score": 0.6246321797370911
},
{
"start": 257,
"end": 269,
"text": "Bllossom-8B로",
"label": "benchmark name",
"score": 0.6206051707267761
},
{
"start": 382,
"end": 390,
"text": "Bllos... |
ali-vilab/i2vgen-xl | ali-vilab | 2024-02-09T13:57:25Z | 1,568 | 184 | diffusers | [
"diffusers",
"safetensors",
"image-to-video",
"text-to-video",
"arxiv:2312.09109",
"arxiv:2308.06571",
"arxiv:2311.04145",
"arxiv:2306.02018",
"arxiv:2312.04433",
"arxiv:2312.04483",
"license:mit",
"diffusers:I2VGenXLPipeline",
"region:us"
] | text-to-video | 2023-12-15T06:28:05Z | # VGen
VGen is an open-source video synthesis codebase developed by the Tongyi Lab of Alibaba Group, featuring state-of-the-art video generative models. This repository includes implementations of the following methods:
- [I2VGen-xl: High-quality image-to-video synthesis via c... | [] |
welyjesch/hiligaynon_llama_3.1_finetuned_8b_gguf | welyjesch | 2026-03-26T13:13:48Z | 1,952 | 1 | null | [
"safetensors",
"gguf",
"llama",
"llama-cpp",
"welyjesch",
"hiligaynon",
"philippine-languages",
"nlp",
"alpaca",
"hil",
"en",
"base_model:meta-llama/Llama-3.1-8B",
"base_model:quantized:meta-llama/Llama-3.1-8B",
"license:llama3.1",
"endpoints_compatible",
"region:us"
] | null | 2026-03-11T15:50:43Z | # 🌏 Mission Statement
**Our mission is to preserve, elevate, and promote Philippine native languages through the power of Artificial Intelligence.** By creating and open-sourcing AI models for underrepresented local languages, we aim to bridge the digital language divide, ensure our cultural heritage thrives in the di... | [] |
Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 | Orenguteng | 2024-09-25T02:49:53Z | 3,934 | 279 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:llama3.1",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-08-09T20:39:15Z | 
VERSION 2 Update Notes:
---
- More compliant
- Smarter
- For best response, use this system prompt (feel free to expand upon it as you wish):
Think step by step with a logical reasoning and intellect... | [] |
llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-v1-GGUF | llmfan46 | 2026-04-19T22:44:24Z | 164 | 4 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"image-text-to-text",
"base_model:llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-v1",
"base_model:quantized:llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-v1",
"license:apache-2.0",
"endpoints_compatible",
"region... | image-text-to-text | 2026-04-18T23:13:55Z | <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... | [] |
mradermacher/Llama-3.3-8B-Instruct-128K-absolute-heresy-i1-GGUF | mradermacher | 2026-02-02T16:44:29Z | 477 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:MuXodious/Llama-3.3-8B-Instruct-128K-absolute-heresy",
"base_model:quantized:MuXodious/Llama-3.3-8B-Instruct-128K-absolute-heresy",
"license:llama3.3",
"endpoints_compatible",
"region:us",
"imatri... | null | 2026-02-02T15:31:59Z | ## 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_... | [] |
Pacific-i64/TR-MoE-400M | Pacific-i64 | 2026-04-04T12:29:49Z | 162 | 1 | complexity-framework | [
"complexity-framework",
"safetensors",
"deep",
"complexity-deep",
"token-routed",
"moe",
"deterministic-routing",
"zipf-routing",
"mu-guidance",
"text-generation",
"conversational",
"en",
"license:cc-by-nc-4.0",
"region:us"
] | text-generation | 2026-04-03T14:18:11Z | # COMPLEXITY-DEEP Token-Routed MoE (383.5M)
## Model Details
- **Architecture**: Token-Routed MLP + Mu-Guidance + Shared Lexical Expert
- **Parameters**: 383.5M total, ~105M active per token
- **Hidden size**: 1024
- **Layers**: 20
- **Attention heads**: 16 (GQA, 4 KV heads)
- **Intermediate size**: 3200 (800 per exp... | [
{
"start": 625,
"end": 630,
"text": "AdamW",
"label": "benchmark name",
"score": 0.6281987428665161
},
{
"start": 632,
"end": 634,
"text": "lr",
"label": "evaluation metric",
"score": 0.6833546757698059
},
{
"start": 734,
"end": 738,
"text": "BF16",
"l... |
mradermacher/zen-guard-gen-8b-GGUF | mradermacher | 2026-03-19T05:45:13Z | 226 | 1 | transformers | [
"transformers",
"gguf",
"zen",
"mlx",
"safetensors",
"zenlm",
"en",
"base_model:zenlm/zen-guard-gen-8b",
"base_model:quantized:zenlm/zen-guard-gen-8b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-26T12:22:14Z | ## 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": 511,
"end": 532,
"text": "zen-guard-gen-8b-GGUF",
"label": "benchmark name",
"score": 0.6772544980049133
}
] |
ramgovindv/health_function_call_llama3.2_3b_gguf | ramgovindv | 2026-03-27T04:55:05Z | 379 | 1 | null | [
"gguf",
"llama",
"llama.cpp",
"unsloth",
"mind_call",
"function_call",
"en",
"dataset:frshafi/mind_call",
"base_model:meta-llama/Llama-3.2-3B-Instruct",
"base_model:quantized:meta-llama/Llama-3.2-3B-Instruct",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-26T09:43:06Z | # health_function_call_llama3.2_3b_gguf: GGUF
A fine-tuned **Llama 3.2 3B GGUF model** designed for **structured function calling in healthcare edge devices**.Trained to convert natural
language health queries into **JSON-based function calls**.
Base Model: LLama 3.2 3B
Fine Tuning: Parameter Efficient Fine Tuning.... | [] |
OpenResearcher/OpenResearcher-30B-A3B | OpenResearcher | 2026-03-25T10:20:46Z | 10,064 | 63 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"conversational",
"custom_code",
"dataset:OpenResearcher/OpenResearcher-Dataset",
"arxiv:2603.20278",
"base_model:nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16",
"base_model:finetune:nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16",... | text-generation | 2026-02-03T16:28:23Z | <div style="display: flex; align-items: center; justify-content: center; gap: 8px;">
<img src="imgs/or-logo1.png" style="height: 84px; width: auto;">
<img src="imgs/openresearcher-title.svg" style="height: 84px; width: auto;">
</div>
<div align="center">
<a href="https://arxiv.org/abs/2603.20278"><img src="http... | [] |
alpaim/Qwen3-VL-Embedding-2B-GGUF-vecBox | alpaim | 2026-03-07T14:48:58Z | 1,173 | 1 | null | [
"gguf",
"qwen3_vl",
"image-text-to-text",
"base_model:Qwen/Qwen3-VL-Embedding-2B",
"base_model:quantized:Qwen/Qwen3-VL-Embedding-2B",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2026-03-07T14:30:56Z | # Qwen3-VL-Embedding-2B-GGUF for vecBox
> [!WARNING]
> **Not intended for general use!**
> This repository is strictly maintained as a dependency for the [vecBox](https://github.com/alpaim/vecBox). The file structure, metadata, and configurations may be modified in the future without notice to fit internal requirement... | [] |
ZoeYou/PatentMap-V0-SecPair-Claim | ZoeYou | 2026-01-20T15:16:20Z | 427 | 3 | null | [
"safetensors",
"bert",
"patent",
"embeddings",
"contrastive-learning",
"information-retrieval",
"feature-extraction",
"en",
"arxiv:2511.10657",
"base_model:anferico/bert-for-patents",
"base_model:finetune:anferico/bert-for-patents",
"license:cc-by-nc-4.0",
"region:us"
] | feature-extraction | 2026-01-07T15:06:03Z | # PatentMap-V0-SecPair-Claim
**PatentMap-V0-SecPair-Claim** is a patent embedding model trained on abstract + claim sections with section-pair augmentation. It is part of the PatentMap V0 model collection.
## Model Details
- **Base Model:** [anferico/bert-for-patents](https://huggingface.co/anferico/bert-for-patents... | [] |
google-bert/bert-base-uncased | google-bert | 2024-02-19T11:06:12Z | 72,315,930 | 2,589 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"coreml",
"onnx",
"safetensors",
"bert",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:04Z | # BERT base model (uncased)
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
[this repository](https://github.com/google-research/bert). This model is uncased: it does not make a difference
b... | [] |
mradermacher/gpt-oss-120b-heretic-v1-GGUF | mradermacher | 2025-12-06T17:38:15Z | 998 | 1 | transformers | [
"transformers",
"gguf",
"vllm",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:TeeZee/gpt-oss-120b-heretic-v1",
"base_model:quantized:TeeZee/gpt-oss-120b-heretic-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-06T16:17:39Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: MXFP4_MOE x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->... | [] |
Ngixdev/OmniCoder-Qwen3.5-9B-Claude-4.6-Opus-Uncensored-v2-GGUF | Ngixdev | 2026-04-02T18:56:12Z | 4,730 | 3 | null | [
"gguf",
"qwen3_5",
"unsloth",
"qwen",
"qwen3.5",
"reasoning",
"chain-of-thought",
"lora",
"uncensored",
"image-text-to-text",
"conversational",
"en",
"zh",
"ko",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"dataset:Roman1111111/clau... | image-text-to-text | 2026-03-26T01:13:00Z | # 🌟 This is Qwen3.5-9B-Claude-4.6-Opus-Uncensored-v2 model with zero refusals made via merging [HauhauCS](https://huggingface.co/HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive) model with latest update for [Jackrong](https://huggingface.co/Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUF) model and ... | [] |
Flakily6416/Qwen3.5-27B-Opus-Reasoning-v2-Abliterated-EvoPress-GGUF | Flakily6416 | 2026-04-06T00:34:54Z | 6,319 | 3 | null | [
"gguf",
"mamba",
"uncensored",
"reasoning",
"chain-of-thought",
"qwen3.5",
"image-text-to-text",
"en",
"zh",
"ko",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"dataset:Roman1111111/claude-opus-4.6-10000x",
"base_model:Jackrong/Qwen3.5-27B... | image-text-to-text | 2026-04-02T09:36:05Z | # Note: This release currently does not have vision capabilities due to an oversight.
I'll get this fixed as soon as my free lightning ai credits reset (or please get in touch if you would like to sponsor some A100 hours).
# Qwen 3.5 27B Opus-Reasoning v2 (Abliterated) - Mixed Precision GGUFs
This repository feature... | [
{
"start": 1373,
"end": 1398,
"text": "intelligence-per-gigabyte",
"label": "evaluation metric",
"score": 0.674902081489563
}
] |
distilbert/distilbert-base-cased | distilbert | 2024-05-06T13:46:22Z | 254,705 | 61 | transformers | [
"transformers",
"pytorch",
"tf",
"onnx",
"safetensors",
"distilbert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1910.01108",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | fill-mask | 2022-03-02T23:29:04Z | # Model Card for DistilBERT base model (cased)
This model is a distilled version of the [BERT base model](https://huggingface.co/bert-base-cased).
It was introduced in [this paper](https://arxiv.org/abs/1910.01108).
The code for the distillation process can be found
[here](https://github.com/huggingface/transformers/t... | [] |
mistralai/Voxtral-4B-TTS-2603 | mistralai | 2026-03-31T13:43:59Z | 3,721 | 559 | vllm | [
"vllm",
"mistral-common",
"text-to-speech",
"en",
"fr",
"es",
"pt",
"it",
"nl",
"de",
"ar",
"hi",
"arxiv:2603.25551",
"base_model:mistralai/Ministral-3-3B-Base-2512",
"base_model:finetune:mistralai/Ministral-3-3B-Base-2512",
"license:cc-by-nc-4.0",
"region:us"
] | text-to-speech | 2025-11-17T17:06:57Z | # Voxtral 4B TTS 2603
Voxtral TTS is a frontier, open-weights text-to-speech model that’s fast, instantly adaptable, and produces lifelike speech for voice agents. The model is released with BF16 weights and a set of reference voices. These voices are licensed under CC BY-NC 4, which is the license that the model inh... | [] |
EPFL-VILAB/4M-21_B | EPFL-VILAB | 2024-10-07T17:48:53Z | 872 | 10 | ml-4m | [
"ml-4m",
"safetensors",
"any-to-any",
"arxiv:2312.06647",
"arxiv:2406.09406",
"license:other",
"region:us"
] | any-to-any | 2024-06-12T08:47:08Z | # 4M: Massively Multimodal Masked Modeling
*A framework for training any-to-any multimodal foundation models. <br>Scalable. Open-sourced. Across tens of modalities and tasks.*
[`Website`](https://4m.epfl.ch) | [`GitHub`](https://github.com/apple/ml-4m) | [`BibTeX`](#citation)
Official implementation and pre-traine... | [] |
TeichAI/Qwen3.5-4B-Claude-Opus-Reasoning-Distill-GGUF | TeichAI | 2026-04-01T04:21:28Z | 3,715 | 12 | null | [
"gguf",
"llama.cpp",
"unsloth",
"qwen3_5",
"reasoning",
"distillation",
"claude-opus",
"tool-use",
"en",
"dataset:TeichAI/Claude-Opus-4.6-Reasoning-887x",
"dataset:TeichAI/Claude-Sonnet-4.6-Reasoning-1100x",
"dataset:TeichAI/claude-4.5-opus-high-reasoning-250x",
"dataset:Crownelius/Opus-4.6-... | null | 2026-03-25T18:39:55Z | # Qwen3.5 4B — Claude Opus Reasoning Distillation
> **A careful approach to distillation: Premium reasoning capabilities transferred in a single epoch with minimal capability loss.**
Before you dismiss this as yet another community distillation with the... | [
{
"start": 2,
"end": 12,
"text": "Qwen3.5 4B",
"label": "benchmark name",
"score": 0.9249719977378845
},
{
"start": 515,
"end": 525,
"text": "Qwen3.5-4B",
"label": "benchmark name",
"score": 0.9303930401802063
}
] |
ibm-granite/granitelib-rag-gpt-oss-r1.0 | ibm-granite | 2026-05-01T17:11:17Z | 348 | 10 | granite-library | [
"granite-library",
"safetensors",
"en",
"base_model:openai/gpt-oss-20b",
"base_model:finetune:openai/gpt-oss-20b",
"license:apache-2.0",
"region:us"
] | null | 2026-02-12T22:59:05Z | # Granite RAG Library: Experimental gpt-oss-20b version
The Granite RAG Library includes LoRA adapters for `openai/gpt-oss-20b`,
each of which expects as input a (single-turn or multi-turn) conversation between a user and an AI assistant,
and most of which also expect a set of grounding passages.
Each adapter has b... | [] |
0xdfi/Qwen3.5-35B-A3B-REAP-pile10k-30p-MLX-q4 | 0xdfi | 2026-03-12T14:15:56Z | 355 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"qwen",
"mixture-of-experts",
"moe",
"reap",
"cerebras-reap",
"static-pruning",
"apple-silicon",
"quantized",
"q4",
"text-generation",
"conversational",
"en",
"dataset:NeelNanda/pile-10k",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized... | text-generation | 2026-03-12T04:37:58Z | # Qwen3.5-35B-A3B-REAP-pile10k-30p-MLX-q4
This repository contains a **static REAP-pruned MLX checkpoint** derived from **Qwen/Qwen3.5-35B-A3B** and quantized to **q4**.
## Original Model Lineage
- Original upstream model: [Qwen/Qwen3.5-35B-A3B](https://huggingface.co/Qwen/Qwen3.5-35B-A3B)
- MLX bf16 source checkpoi... | [] |
nvidia/Cosmos-H-Surgical-Simulator | nvidia | 2026-04-17T14:48:47Z | 217 | 12 | nv-medtech | [
"nv-medtech",
"custom",
"simulation",
"surgical-robotics",
"video-generation",
"policy-evaluation",
"vla-evaluation",
"healthcare-robotics",
"world-model",
"image-to-video",
"dataset:nvidia/PhysicalAI-Robotics-Open-H-Embodiment",
"arxiv:2511.00062",
"arxiv:2407.12998",
"base_model:nvidia/C... | image-to-video | 2026-02-19T20:58:31Z | <div align="center">
<div align="center">
<a href="https://github.com/NVIDIA-Medtech/Cosmos-H-Surgical-Simulator">
<img src="https://img.shields.io/badge/GitHub-grey?logo=GitHub" alt="GitHub Badge">
</a>
<a href="https://huggingface.co/datasets/nvidia/PhysicalAI-Robotics-Open-H-Embodiment">
<img src="ht... | [
{
"start": 89,
"end": 116,
"text": "Cosmos-H-Surgical-Simulator",
"label": "benchmark name",
"score": 0.7659896016120911
},
{
"start": 450,
"end": 477,
"text": "Cosmos-H-Surgical-Simulator",
"label": "benchmark name",
"score": 0.6949676871299744
},
{
"start": 494,... |
vandijklab/C2S-Scale-Gemma-2-27B | vandijklab | 2025-10-31T18:11:42Z | 1,058 | 163 | transformers | [
"transformers",
"safetensors",
"gemma2",
"text-generation",
"biology",
"scRNAseq",
"genomics",
"computational-biology",
"bioinformatics",
"gene-expression",
"cell-biology",
"pytorch",
"cell-type-annotation",
"Question Answering",
"en",
"base_model:google/gemma-2-27b",
"base_model:fin... | text-generation | 2025-10-06T20:22:30Z | # C2S-Scale-Gemma-27B model card
**GitHub homepage:** [Cell2Sentence GitHub](https://github.com/vandijklab/cell2sentence)
**Model documentation:** [Cell2Sentence Documentation](https://vandijklab-cell2sentence.readthedocs.io/en/latest/)
**Resources:**
* C2S-Scale Paper: [Scaling Large Language Models for Next-Gen... | [] |
cais/Zephyr_RMU | cais | 2024-04-24T16:59:46Z | 336 | 5 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"en",
"dataset:cais/wmdp",
"dataset:cais/wmdp-corpora",
"arxiv:2403.03218",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-04-16T19:24:11Z | # Zephyr RMU
Zephyr 7B model with hazardous knowledge about biosecurity and cybersecurity "unlearned" using Representation Misdirection for Unlearning (RMU). For more details, please check [our paper](https://arxiv.org/abs/2403.03218).
## Model sources
- Base model: [zephyr-7B-beta](https://huggingface.co/HuggingFace... | [
{
"start": 732,
"end": 736,
"text": "MMLU",
"label": "benchmark name",
"score": 0.612061083316803
},
{
"start": 786,
"end": 794,
"text": "MT-Bench",
"label": "benchmark name",
"score": 0.8350900411605835
},
{
"start": 862,
"end": 866,
"text": "MMLU",
"... |
bartowski/Qwen2.5-Coder-0.5B-GGUF | bartowski | 2024-11-11T17:19:26Z | 2,172 | 5 | null | [
"gguf",
"code",
"qwen",
"qwen-coder",
"codeqwen",
"text-generation",
"en",
"base_model:Qwen/Qwen2.5-Coder-0.5B",
"base_model:quantized:Qwen/Qwen2.5-Coder-0.5B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-11-11T16:47:56Z | ## Llamacpp imatrix Quantizations of Qwen2.5-Coder-0.5B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4058">b4058</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B
All quants made using im... | [] |
moonshotai/Kimi-K2-Instruct | moonshotai | 2026-04-23T02:08:36Z | 327,044 | 2,353 | transformers | [
"transformers",
"safetensors",
"kimi_k2",
"text-generation",
"conversational",
"custom_code",
"doi:10.57967/hf/5976",
"license:other",
"eval-results",
"endpoints_compatible",
"fp8",
"region:us"
] | text-generation | 2025-07-11T00:55:12Z | <div align="center">
<picture>
<img src="figures/kimi-logo.png" width="30%" alt="Kimi K2: Open Agentic Intellignece">
</picture>
</div>
<hr>
<div align="center" style="line-height:1">
<a href="https://www.kimi.com" target="_blank"><img alt="Chat" src="https://img.shields.io/badge/🤖%20Chat-Kimi%20K2-ff6b6... | [] |
mradermacher/Qwen2.5-VL-72B-Instruct-claude-sft-i1-GGUF | mradermacher | 2025-12-25T03:06:22Z | 219 | 3 | transformers | [
"transformers",
"gguf",
"llama-factory",
"full",
"generated_from_trainer",
"en",
"base_model:henryhe0123/Qwen2.5-VL-72B-Instruct-claude-sft",
"base_model:quantized:henryhe0123/Qwen2.5-VL-72B-Instruct-claude-sft",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversationa... | null | 2025-07-29T13:12:24Z | ## 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_K... | [] |
groxaxo/Huihui-gemma-4-31B-it-abliterated-v2-GGUF | groxaxo | 2026-04-13T14:33:15Z | 390 | 1 | transformers | [
"transformers",
"gguf",
"imatrix",
"abliterated",
"uncensored",
"any-to-any",
"image-text-to-text",
"base_model:huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2",
"base_model:quantized:huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"... | any-to-any | 2026-04-12T06:54:25Z | # groxaxo/Huihui-gemma-4-31B-it-abliterated-v2-GGUF
GGUF quantizations of [huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2](https://huggingface.co/huihui-ai/Huihui-gemma-4-31B-it-abliterated-v2), built with `llama.cpp` from the included `imatrix_unsloth.gguf` and the tensor distributions in the downloaded recipe bundle... | [] |
tiiuae/falcon-rw-7b | tiiuae | 2024-11-07T06:07:03Z | 2,725 | 18 | transformers | [
"transformers",
"pytorch",
"safetensors",
"falcon",
"text-generation",
"custom_code",
"en",
"dataset:tiiuae/falcon-refinedweb",
"arxiv:2306.01116",
"arxiv:2005.14165",
"arxiv:2108.12409",
"arxiv:2205.14135",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | 2023-04-26T11:58:25Z | # Falcon-RW-7B
**Falcon-RW-7B is a 7B parameters causal decoder-only model built by [TII](https://www.tii.ae) and trained on 350B tokens of [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb). It is made available under the Apache 2.0 license.**
See the 📓 [paper on arXiv](https://arxiv.org/abs/230... | [] |
Alpha-VLLM/Lumina-Image-2.0 | Alpha-VLLM | 2025-03-30T08:01:45Z | 1,156 | 356 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"arxiv:2503.21758",
"license:apache-2.0",
"diffusers:Lumina2Pipeline",
"region:us"
] | text-to-image | 2025-01-22T08:12:09Z | 
Lumina-Image-2.0 is a 2 billion parameter flow-based diffusion transformer capable of generating images from text descriptions. For more information, visit our [GitHub](https://github.com/Alpha-VLLM/Lumina-Image-2.0).
## Gradio Demo
We provide an official [Gradio demo](http://47.100.29... | [] |
facebook/wav2vec2-large-xlsr-53 | facebook | 2022-03-18T16:11:44Z | 282,295 | 156 | transformers | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"pretraining",
"speech",
"multilingual",
"dataset:common_voice",
"arxiv:2006.13979",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05Z | # Wav2Vec2-XLSR-53
[Facebook's XLSR-Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
The base model pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz. Note that this model should be fine-tuned on... | [
{
"start": 1132,
"end": 1153,
"text": "CommonVoice benchmark",
"label": "benchmark name",
"score": 0.7855913639068604
}
] |
LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct-GGUF | LGAI-EXAONE | 2024-12-09T01:35:21Z | 951 | 37 | transformers | [
"transformers",
"gguf",
"lg-ai",
"exaone",
"exaone-3.5",
"text-generation",
"en",
"ko",
"arxiv:2412.04862",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-12-01T13:17:16Z | <p align="center">
<img src="assets/EXAONE_Symbol+BI_3d.png", width="300", style="margin: 40 auto;">
<br>
# EXAONE-3.5-7.8B-Instruct-GGUF
## Introduction
We introduce EXAONE 3.5, a collection of instruction-tuned bilingual (English and Korean) generative models ranging from 2.4B to 32B parameters, developed and rele... | [] |
freddm/Voxtral-Mini-4B-Realtime-2602-GGUF | freddm | 2026-02-14T23:51:10Z | 332 | 5 | null | [
"gguf",
"mistral-common",
"automatic-speech-recognition",
"en",
"fr",
"es",
"de",
"ru",
"zh",
"ja",
"it",
"pt",
"nl",
"ar",
"hi",
"ko",
"arxiv:2602.11298",
"base_model:mistralai/Ministral-3-3B-Base-2512",
"base_model:quantized:mistralai/Ministral-3-3B-Base-2512",
"license:apach... | automatic-speech-recognition | 2026-02-14T23:46:14Z | # Voxtral Mini 4B Realtime 2602
Voxtral Mini 4B Realtime 2602 is a **multilingual, realtime speech-transcription model** and among the first open-source solutions to achieve accuracy comparable to offline systems with a delay of **<500ms**.
It supports **13 languages** and outperforms existing open-source baselines ac... | [] |
mradermacher/Qwen2.5-7B-Roleplay-Lab2-i1-GGUF | mradermacher | 2026-02-08T16:06:45Z | 515 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:ottoiflu/Qwen2.5-7B-Roleplay-Lab2",
"base_model:quantized:ottoiflu/Qwen2.5-7B-Roleplay-Lab2",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-08T13:13:28Z | ## 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": 625,
"end": 657,
"text": "Qwen2.5-7B-Roleplay-Lab2-i1-GGUF",
"label": "benchmark name",
"score": 0.6287388801574707
}
] |
facebook/opt-125m | facebook | 2023-09-15T13:10:03Z | 7,291,015 | 235 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"opt",
"text-generation",
"en",
"arxiv:2205.01068",
"arxiv:2005.14165",
"license:other",
"text-generation-inference",
"deploy:azure",
"region:us"
] | text-generation | 2022-05-11T08:25:17Z | # OPT : Open Pre-trained Transformer Language Models
OPT was first introduced in [Open Pre-trained Transformer Language Models](https://arxiv.org/abs/2205.01068) and first released in [metaseq's repository](https://github.com/facebookresearch/metaseq) on May 3rd 2022 by Meta AI.
**Disclaimer**: The team releasing OPT... | [] |
mradermacher/Sexpedition-MS3.2-24B-GGUF | mradermacher | 2025-09-05T09:45:55Z | 206 | 1 | transformers | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"en",
"base_model:Aleteian/Sexpedition-MS3.2-24B",
"base_model:quantized:Aleteian/Sexpedition-MS3.2-24B",
"endpoints_compatible",
"region:us"
] | null | 2025-09-05T06:10:41Z | ## 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... | [
{
"start": 518,
"end": 544,
"text": "Sexpedition-MS3.2-24B-GGUF",
"label": "benchmark name",
"score": 0.6110798120498657
}
] |
bartowski/Llama-3.3-70B-Instruct-abliterated-GGUF | bartowski | 2024-12-24T03:01:03Z | 9,095 | 20 | null | [
"gguf",
"facebook",
"meta",
"llama",
"llama-3",
"abliterated",
"uncensored",
"text-generation",
"en",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"de",
"base_model:huihui-ai/Llama-3.3-70B-Instruct-abliterated",
"base_model:quantized:huihui-ai/Llama-3.3-70B-Instruct-abliterated",
"license... | text-generation | 2024-12-23T23:01:16Z | ## Llamacpp imatrix Quantizations of Llama-3.3-70B-Instruct-abliterated
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4381">b4381</a> for quantization.
Original model: https://huggingface.co/huihui-ai/Llama-3.3-70B-Instruct-... | [] |
mradermacher/Crow-9B-HERETIC-4.6-GGUF | mradermacher | 2026-03-17T12:14:59Z | 813 | 1 | transformers | [
"transformers",
"gguf",
"agent",
"en",
"zh",
"ru",
"es",
"fr",
"it",
"ja",
"ko",
"af",
"de",
"ar",
"tr",
"is",
"pl",
"sw",
"sv",
"nl",
"he",
"id",
"uk",
"fa",
"pa",
"pt",
"ms",
"fi",
"el",
"dataset:crownelius/Creative_Writing_ShareGPT_Enhanced",
"dataset:m... | null | 2026-03-17T10:24:41Z | ## 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... | [] |
unsloth/granite-4.0-h-micro-unsloth-bnb-4bit | unsloth | 2025-10-07T07:11:42Z | 835 | 3 | transformers | [
"transformers",
"safetensors",
"granitemoehybrid",
"text-generation",
"language",
"unsloth",
"granite-4.0",
"conversational",
"arxiv:0000.00000",
"base_model:ibm-granite/granite-4.0-h-micro",
"base_model:quantized:ibm-granite/granite-4.0-h-micro",
"license:apache-2.0",
"endpoints_compatible"... | text-generation | 2025-10-02T11:19:46Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/granite-40-68ddf64b4a8717dc22a9322d">our collection</a> for all versions of Granite-4.0 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to run Gr... | [
{
"start": 219,
"end": 223,
"text": "GGUF",
"label": "benchmark name",
"score": 0.7821614742279053
}
] |
sheliak/VibeVoice-Large_Mirror | sheliak | 2025-09-04T05:40:44Z | 1,029 | 6 | null | [
"safetensors",
"vibevoice",
"Podcast",
"text-to-speech",
"en",
"zh",
"arxiv:2508.19205",
"arxiv:2412.08635",
"license:mit",
"region:us"
] | text-to-speech | 2025-09-04T03:17:12Z | ## VibeVoice: A Frontier Open-Source Text-to-Speech Model
VibeVoice is a novel framework designed for generating expressive, long-form, multi-speaker conversational audio, such as podcasts, from text. It addresses significant challenges in traditional Text-to-Speech (TTS) systems, particularly in scalability, speaker ... | [] |
HauhauCS/Qwen3.5-2B-Uncensored-HauhauCS-Aggressive | HauhauCS | 2026-04-05T19:00:51Z | 58,186 | 49 | null | [
"gguf",
"uncensored",
"qwen3.5",
"qwen",
"en",
"zh",
"multilingual",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-05T22:13:04Z | # Qwen3.5-2B-Uncensored-HauhauCS-Aggressive
> **[Join the Discord](https://discord.gg/SZ5vacTXYf)** for updates, roadmaps, projects, or just to chat.
Qwen3.5-2B uncensored by HauhauCS.
## About
**0/465 refusals.** Fully uncensored with zero capability loss.
No changes to datasets or capabilities. Fully functional,... | [] |
coder3101/gemma-4-26B-A4B-it-heretic | coder3101 | 2026-04-14T16:42:01Z | 9,494 | 62 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"conversational",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:finetune:google/gemma-4-26B-A4B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us"... | image-text-to-text | 2026-04-02T20:55:22Z | # This is a decensored version of [google/gemma-4-26B-A4B-it](https://huggingface.co/google/gemma-4-26B-A4B-it), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0 with the [Arbitrary-Rank Ablation (ARA)](https://github.com/p-e-w/heretic/pull/211) method (with row-norm preservation)
## Abliteration paramete... | [
{
"start": 479,
"end": 504,
"text": "steer_bad_behavior_weight",
"label": "evaluation metric",
"score": 0.6219308376312256
}
] |
mradermacher/Occam-2B-CCoT-i1-GGUF | mradermacher | 2026-04-18T19:52:31Z | 2,974 | 2 | transformers | [
"transformers",
"gguf",
"ClearCoT",
"en",
"dataset:Sagicc/ClearCot-Nemotron-Cascade-SFT-1-general",
"dataset:Sagicc/ClearCoT-Opus-4.6-Reasoning",
"base_model:Sagicc/Occam-2B-CCoT",
"base_model:quantized:Sagicc/Occam-2B-CCoT",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us",
"imatrix",... | null | 2026-03-15T12:16:57Z | ## 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_... | [
{
"start": 612,
"end": 633,
"text": "Occam-2B-CCoT-i1-GGUF",
"label": "benchmark name",
"score": 0.6093037724494934
}
] |
Qwen/Qwen2.5-Coder-14B | Qwen | 2024-11-18T12:54:29Z | 24,894 | 69 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"qwen",
"qwen-coder",
"codeqwen",
"conversational",
"en",
"arxiv:2409.12186",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-14B",
"base_model:finetune:Qwen/Qwen2.5-14B",
"license:apache-2.0",
"text-... | text-generation | 2024-11-08T10:48:15Z | # Qwen2.5-Coder-14B
## Introduction
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings t... | [] |
ssweens/inclusionAI__Ling-2.6-flash-GGUF-YMMV | ssweens | 2026-05-04T06:27:28Z | 169 | 2 | llama.cpp | [
"llama.cpp",
"gguf",
"bailing_hybrid",
"text-generation",
"conversational",
"en",
"license:mit",
"endpoints_compatible",
"region:us",
"base_model:inclusionAI/Ling-2.6-flash",
"base_model:quantized:inclusionAI/Ling-2.6-flash"
] | text-generation | 2026-05-03T03:15:09Z | ## 🧪 Experimental GGUFs for Ling-2.6-flash
A stopgap to experiment with Ling 2.6 locally while the tools ecosystem catches up. Expect rough edges. Validated for text and coding coherence.
GGUF files for [inclusionAI/Ling-2.6-flash](https://huggingface.co/inclusionAI/Ling-2.6-flash).
### ⚠️ You need the custom fork... | [] |
UsefulSensors/moonshine-tiny | UsefulSensors | 2025-01-30T16:07:38Z | 27,617 | 28 | transformers | [
"transformers",
"safetensors",
"moonshine",
"automatic-speech-recognition",
"en",
"arxiv:2410.15608",
"arxiv:1810.03993",
"license:mit",
"eval-results",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | automatic-speech-recognition | 2024-10-30T19:06:45Z | # Moonshine
[[Blog]](https://petewarden.com/2024/10/21/introducing-moonshine-the-new-state-of-the-art-for-speech-to-text/) [[Paper]](https://arxiv.org/abs/2410.15608) [[Installation]](https://github.com/usefulsensors/moonshine/blob/main/README.md) [[Podcast]](https://notebooklm.google.com/notebook/d787d6c2-7d7b-478c-b... | [] |
tiantiaf/voxlect-spanish-dialect-whisper-large-v3 | tiantiaf | 2025-08-10T21:29:49Z | 199 | 5 | transformers | [
"transformers",
"safetensors",
"model_hub_mixin",
"pytorch_model_hub_mixin",
"speaker_dialect_classification",
"audio-classification",
"es",
"dataset:mozilla-foundation/common_voice_11_0",
"arxiv:2508.01691",
"base_model:openai/whisper-large-v3",
"base_model:finetune:openai/whisper-large-v3",
... | audio-classification | 2025-07-29T09:44:41Z | # Whisper-Large v3 for Spanish Dialect Classification
# Model Description
This model includes the implementation of Spanish dialect classification described in <a href="https://arxiv.org/abs/2508.01691"><strong>**Voxlect: A Speech Foundation Model Benchmark for Modeling Dialect and Regional Languages Around the Globe*... | [
{
"start": 214,
"end": 221,
"text": "Voxlect",
"label": "benchmark name",
"score": 0.9384574294090271
},
{
"start": 387,
"end": 394,
"text": "voxlect",
"label": "benchmark name",
"score": 0.7711396217346191
},
{
"start": 641,
"end": 648,
"text": "voxlect",... |
aydin99/FLUX.2-klein-4B-int8 | aydin99 | 2026-01-15T21:35:41Z | 214 | 10 | diffusers | [
"diffusers",
"safetensors",
"flux",
"flux2",
"int8",
"quantized",
"quanto",
"apple-silicon",
"mps",
"cuda",
"text-to-image",
"base_model:black-forest-labs/FLUX.2-klein-4B",
"base_model:quantized:black-forest-labs/FLUX.2-klein-4B",
"license:apache-2.0",
"region:us"
] | text-to-image | 2026-01-15T20:58:39Z | # FLUX.2-klein-4B Int8 Quantized
This is a fully **int8 weight-only quantized** version of [black-forest-labs/FLUX.2-klein-4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-4B) using optimum-quanto.
Both the **transformer** and **text encoder (Qwen3)** are quantized.
Works on **CUDA** and **Apple Silicon (MP... | [] |
mradermacher/Monika-12B-i1-GGUF | mradermacher | 2025-12-06T02:33:03Z | 154 | 2 | transformers | [
"transformers",
"gguf",
"roleplay",
"en",
"base_model:Green-eyedDevil/Monika-12B",
"base_model:quantized:Green-eyedDevil/Monika-12B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-27T01:36:56Z | ## 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_... | [
{
"start": 618,
"end": 636,
"text": "Monika-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.7484567761421204
},
{
"start": 1186,
"end": 1204,
"text": "Monika-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.7027469873428345
},
{
"start": 1352,
"end": 13... |
DreamFast/Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark | DreamFast | 2026-04-24T08:18:06Z | 1,795 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"uncensored",
"abliterated",
"qwen3.5",
"text-generation",
"conversational",
"en",
"zh",
"base_model:Qwen/Qwen3.5-4B",
"base_model:finetune:Qwen/Qwen3.5-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-14T03:21:41Z | # Qwen3.5-4B: HauhauCS Aggressive, Safetensors
This is the HauhauCS aggressive abliteration of [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B), converted from the BF16 GGUF release to native safetensors using [ungguf](https://github.com/dreamfast/ungguf).
HauhauCS claims these are *"No changes to datasets o... | [
{
"start": 2,
"end": 12,
"text": "Qwen3.5-4B",
"label": "benchmark name",
"score": 0.6415247321128845
}
] |
Dream-org/Dream-VL-7B | Dream-org | 2026-03-16T01:44:39Z | 456 | 12 | transformers | [
"transformers",
"safetensors",
"dream-vl",
"feature-extraction",
"vlm",
"image-text-to-text",
"multimodal",
"pretraining",
"diffusion",
"conversational",
"custom_code",
"en",
"dataset:MAmmoTH-VL/MAmmoTH-VL-Instruct-12M",
"arxiv:2512.22615",
"base_model:Dream-org/Dream-v0-Instruct-7B",
... | image-text-to-text | 2025-12-23T16:40:35Z | # Dream-VL 7B
Dream-VL 7B is an open diffusion vision-language model trained on 12M multimodal data from the [MAmmoTH-VL-Instruct-12M](https://huggingface.co/datasets/MAmmoTH-VL/MAmmoTH-VL-Instruct-12M) dataset.
The model takes language instructions and images as input and generates language outputs.
All Dream-VL ch... | [] |
vantagewithai/LongCat-Image-GGUF | vantagewithai | 2026-03-05T04:42:15Z | 1,175 | 3 | transformers | [
"transformers",
"gguf",
"text-to-image",
"en",
"zh",
"arxiv:2412.11963",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-to-image | 2025-12-07T14:53:27Z | **Quantized GGUF Version**
**Original Model Link:** [https://huggingface.co/meituan-longcat/LongCat-Image](https://huggingface.co/meituan-longcat/LongCat-Image)
**Watch us at Youtube:** [@VantageWithAI](https://www.youtube.com/@vantagewithai)
## To use gguf version in ComfyUI, use the files located under folder comf... | [] |
prithivMLmods/Qwen-Image-2512-Pixel-Art-LoRA | prithivMLmods | 2026-01-05T16:03:11Z | 179 | 11 | diffusers | [
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"base_model:Qwen/Qwen-Image-2512",
"base_model:adapter:Qwen/Qwen-Image-2512",
"license:apache-2.0",
"region:us"
] | text-to-image | 2026-01-01T23:58:32Z | 
> Pixel Art, A pixelated image of a space astronaut floating in zero gravity. The astronaut is wearing a white spacesuit with orange stripes. Earth is visible in the background with blue oceans and wh... | [] |
osmapi/Nidum-Gemma-3-27B-it-Uncensored-GGUF | osmapi | 2025-03-16T17:39:26Z | 1,462 | 31 | null | [
"gguf",
"Uncensored",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-03-16T16:36:15Z | # 🧠 Nidum Gemma-3-27B-Instruct Uncensored GGUF
At Nidum, we're committed to delivering powerful, versatile, and unrestricted AI experiences. The **Nidum Gemma-3-27B-Instruct Uncensored GGUF** collection provides quantized models optimized for efficient performance, enabling fast inference without compromising the qua... | [] |
ACE-Step/acestep-transcriber | ACE-Step | 2026-02-03T06:33:32Z | 2,321 | 46 | transformers | [
"transformers",
"safetensors",
"qwen2_5_omni",
"text-to-audio",
"music",
"audio",
"audio-text-to-text",
"arxiv:2602.00744",
"license:mit",
"endpoints_compatible",
"region:us"
] | audio-text-to-text | 2026-01-23T10:26:27Z | <a href="https://arxiv.org/abs/2602.00744">Tech Report</a>
# ACE-Step Transcriber
## Description
ACE-Step Transcriber is the annotation model used by **ACE-Step v1.5** for training data labeling. It is a powerful multilingual audio transcription model capable of transcribing both **speech** and **singing voice** wit... | [] |
google/gemma-4-E4B | google | 2026-04-02T16:14:15Z | 1,205 | 25 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"any-to-any",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | any-to-any | 2026-03-02T19:57:53Z | <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/gemma-4-31B-it-abliterated-i1-GGUF | mradermacher | 2026-04-30T15:10:52Z | 17,996 | 5 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"gemma4",
"direct-weight-editing",
"abliterix",
"vllm",
"llm-judge",
"en",
"base_model:wangzhang/gemma-4-31B-it-abliterated",
"base_model:quantized:wangzhang/gemma-4-31B-it-abliterated",
"license:gemma",
"endpoints_compatible",
"region... | null | 2026-04-09T07:54:36Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### 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_M Q4_0... | [] |
audeering/wav2vec2-large-robust-24-ft-age-gender | audeering | 2025-03-24T10:02:24Z | 284,930 | 49 | transformers | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"speech",
"audio",
"audio-classification",
"age-recognition",
"gender-recognition",
"dataset:agender",
"dataset:mozillacommonvoice",
"dataset:timit",
"dataset:voxceleb2",
"arxiv:2306.16962",
"base_model:facebook/wav2vec2-large-robust"... | audio-classification | 2023-09-04T11:50:44Z | # Model for Age and Gender Recognition based on Wav2vec 2.0 (24 layers)
The model expects a raw audio signal as input and outputs predictions
for age in a range of approximately 0...1 (0...100 years)
and gender expressing the probababilty for being child, female, or male.
In addition, it also provides the pooled st... | [] |
nvidia/instruction-data-guard | nvidia | 2025-09-22T20:55:30Z | 1,121 | 18 | null | [
"safetensors",
"model_hub_mixin",
"pytorch_model_hub_mixin",
"arxiv:2304.13734",
"license:other",
"region:us"
] | null | 2024-11-27T19:17:54Z | # NemoCurator Instruction Data Guard
# Model Overview
## Description:
Instruction Data Guard is a deep-learning classification model that helps identify LLM poisoning attacks in datasets.
It is trained on an instruction:response dataset and LLM poisoning attacks of such data.
Note that optimal use for Instruction Dat... | [
{
"start": 1277,
"end": 1298,
"text": "Classification scores",
"label": "evaluation metric",
"score": 0.6563389897346497
}
] |
nvidia/GR00T-N1.6-DROID | nvidia | 2026-02-03T02:49:42Z | 945 | 7 | null | [
"safetensors",
"Gr00tN1d6",
"robotics",
"dataset:nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim",
"dataset:IPEC-COMMUNITY/droid_lerobot",
"arxiv:2503.14734",
"base_model:nvidia/GR00T-N1.6-3B",
"base_model:finetune:nvidia/GR00T-N1.6-3B",
"region:us"
] | robotics | 2026-02-02T23:22:22Z | <div align="center">
<a href="https://github.com/NVIDIA/Isaac-GR00T">
<img src="https://cdn-uploads.huggingface.co/production/uploads/67b8da81d01134f89899b4a7/8bFQa2ZIGCsOQQ2ho2N_U.png">
</a>
<div align="center">
<a href="https://github.com/NVIDIA/Isaac-GR00T">
<img src="https://img.shields.io/badge/Git... | [] |
OpenMOSS-Team/XY_Tokenizer_TTSD_V0_hf | OpenMOSS-Team | 2025-11-11T12:01:17Z | 231 | 1 | null | [
"pytorch",
"xy_tokenizer",
"custom_code",
"arxiv:2506.23325",
"license:apache-2.0",
"region:us"
] | null | 2025-08-20T12:49:38Z | # **Introduction**
**`XY-Tokenizer`** is a speech codec that simultaneously models both semantic and acoustic aspects of speech, converting audio into discrete tokens and decoding them back to high-quality audio. It achieves efficient speech representation at only 1kbps with RVQ8 quantization at 12.5Hz frame rate.
-... | [] |
tencent/HunyuanWorld-Mirror | tencent | 2025-10-25T07:42:13Z | 7,349 | 270 | null | [
"safetensors",
"hunyuan3d",
"worldmodel",
"3d-reconstruction",
"3d-generation",
"3d",
"scene-generation",
"image-to-3D",
"video-to-3D",
"image-to-3d",
"en",
"zh",
"arxiv:2510.10726",
"license:other",
"region:us"
] | image-to-3d | 2025-10-16T07:10:22Z | <p align="center">
<img src="assets/teaser.jpg" width="95%" alt="HunyuanWorld-Mirror Teaser">
</p>
<p align="center">
<a href='https://3d-models.hunyuan.tencent.com/world/'><img src='https://img.shields.io/badge/Project-Page-green'></a>
<a href='https://3d-models.hunyuan.tencent.com/world/worldMirror1_0/HYWorld_Mirr... | [] |
huihui-ai/Huihui-Qwen3-VL-4B-Instruct-abliterated | huihui-ai | 2025-12-15T07:36:36Z | 8,933 | 60 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"abliterated",
"uncensored",
"conversational",
"base_model:Qwen/Qwen3-VL-4B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-4B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-10-16T08:29:08Z | # huihui-ai/Huihui-Qwen3-VL-4B-Instruct-abliterated
This is an uncensored version of [Qwen/Qwen3-VL-4B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it). ... | [] |
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