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 |
|---|---|---|---|---|---|---|---|---|---|---|
mradermacher/MiMo-V2-Flash-i1-GGUF | mradermacher | 2026-01-05T21:32:33Z | 337 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:XiaomiMiMo/MiMo-V2-Flash",
"base_model:quantized:XiaomiMiMo/MiMo-V2-Flash",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-02T11:15:03Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
LishaV01/agriculture-crop-disease-detection | LishaV01 | 2026-03-25T05:21:36Z | 236 | 5 | null | [
"safetensors",
"vit",
"image-classification",
"base_model:WinKawaks/vit-tiny-patch16-224",
"base_model:finetune:WinKawaks/vit-tiny-patch16-224",
"license:apache-2.0",
"region:us"
] | image-classification | 2026-02-28T11:35:38Z | ## OverView of Crop Disease Detection Transformer
This model is a Vision Transformer (ViT) fine-tuned with LoRA to detect plant diseases in crops, aimed at enabling precision farming. It can classify diseases in crops such as corn, potato, rice, and wheat, helping farmers and agronomists identify issues early for be... | [] |
baidu/ERNIE-4.5-VL-28B-A3B-PT | baidu | 2026-04-03T07:41:21Z | 63,779 | 96 | transformers | [
"transformers",
"safetensors",
"ernie4_5_moe_vl",
"image-text-to-text",
"ERNIE4.5",
"conversational",
"custom_code",
"en",
"zh",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-06-28T05:50:33Z | <div align="center" style="line-height: 1;">
<a href="https://ernie.baidu.com/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/🤖_Chat-ERNIE_Bot-blue" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://huggingface.co/baidu" target="_blank" s... | [] |
Qwen/Qwen2.5-72B-Instruct-AWQ | Qwen | 2024-10-09T12:27:10Z | 441,759 | 76 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-72B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-72B-Instruct",
"license:other",
"text-generation-inference",
"endpoints_compatible",... | text-generation | 2024-09-17T13:56:58Z | # Qwen2.5-72B-Instruct-AWQ
## Introduction
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
- Significantly **more... | [] |
mradermacher/NaNovel-9B-i1-GGUF | mradermacher | 2026-03-13T10:32:43Z | 5,004 | 1 | transformers | [
"transformers",
"gguf",
"creative-writing",
"novelist",
"qwen3.5",
"fine-tuned",
"nanovel",
"chain-of-thought",
"en",
"dataset:Dxniz/Novelist-CoT",
"base_model:Dxniz/NaNovel-9B",
"base_model:quantized:Dxniz/NaNovel-9B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatri... | null | 2026-03-13T09:40:59Z | ## 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": 608,
"end": 626,
"text": "NaNovel-9B-i1-GGUF",
"label": "benchmark name",
"score": 0.7214294672012329
},
{
"start": 700,
"end": 715,
"text": "NaNovel-9B-GGUF",
"label": "benchmark name",
"score": 0.6160504221916199
},
{
"start": 837,
"end": 852,
... |
nanonets/Nanonets-OCR2-1.5B-exp | nanonets | 2025-12-08T15:56:51Z | 6,796 | 47 | transformers | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"OCR",
"image-to-text",
"pdf2markdown",
"VQA",
"conversational",
"multilingual",
"base_model:Qwen/Qwen2-VL-2B-Instruct",
"base_model:finetune:Qwen/Qwen2-VL-2B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"e... | image-text-to-text | 2025-10-13T12:07:43Z | <div align="center">
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/626d198986671a29c70e688e/Vn6092flX4bQgzal2X04f.png" width="200" style="border-radius: 15px;"/>
<p>
<h1 align="center">
Nanonets-OCR2: A model for transforming documents into structured markdown with intelligent c... | [] |
lmstudio-community/Qwen3-Coder-Next-MLX-4bit | lmstudio-community | 2026-02-02T23:43:28Z | 353,625 | 14 | mlx | [
"mlx",
"safetensors",
"qwen3_next",
"base_model:Qwen/Qwen3-Coder-Next",
"base_model:quantized:Qwen/Qwen3-Coder-Next",
"license:apache-2.0",
"4-bit",
"region:us"
] | null | 2026-02-02T23:42:30Z | ## 💫 Community Model> Qwen3-Coder-Next by Qwen
_👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)_.
**Model creator**: [Qwen](https://huggingface.co/Qwen)<br>
**Original mod... | [] |
facebook/bart-large-cnn | facebook | 2024-02-13T18:02:05Z | 2,142,634 | 1,551 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"bart",
"text2text-generation",
"summarization",
"en",
"dataset:cnn_dailymail",
"arxiv:1910.13461",
"license:mit",
"model-index",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | summarization | 2022-03-02T23:29:05Z | # BART (large-sized model), fine-tuned on CNN Daily Mail
BART model pre-trained on English language, and fine-tuned on [CNN Daily Mail](https://huggingface.co/datasets/cnn_dailymail). It was introduced in the paper [BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Co... | [] |
Nubinu/Qwen3.5-4B-MiniFantasy | Nubinu | 2026-03-29T21:29:17Z | 103 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"unsloth",
"roleplay",
"qwen",
"qwen-3.5",
"text-generation",
"conversational",
"en",
"base_model:MuXodious/Qwen3.5-4B-SOMPOA-heresy-v2",
"base_model:finetune:MuXodious/Qwen3.5-4B-SOMPOA-heresy-v2",
"license:apache-2.0",
"en... | text-generation | 2026-03-25T12:12:59Z | # Qwen3.5-4B-MiniFantasy
## Model Description
This is a 4-bit LoRA fine-tune of the `MuXodious/Qwen3.5-4B-SOMPOA-heresy-v2` model.
## SillyTavern Setup
### Sampler Settings
For the best narrative pacing an... | [] |
alibaba-pai/Wan2.2-Fun-5B-Control-Camera | alibaba-pai | 2025-12-11T02:28:02Z | 306 | 2 | videox_fun | [
"videox_fun",
"diffusers",
"safetensors",
"ti2v",
"video",
"video-generation",
"wan2.2",
"image-to-video",
"en",
"zh",
"base_model:Wan-AI/Wan2.2-TI2V-5B",
"base_model:finetune:Wan-AI/Wan2.2-TI2V-5B",
"license:apache-2.0",
"region:us"
] | image-to-video | 2025-08-19T06:24:14Z | # Wan-Fun
😊 Welcome!
[](https://huggingface.co/spaces/alibaba-pai/Wan2.1-Fun-1.3B-InP)
[](https://github.com/aigc-apps/VideoX-Fun)
[English](./README_en.md) |... | [] |
mradermacher/Qwen3-VisionCaption-2B-GGUF | mradermacher | 2025-11-29T03:30:05Z | 258 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"image-caption",
"abliterated",
"uncensored",
"llama.cpp",
"en",
"zh",
"dataset:prithivMLmods/blip3o-caption-mini-arrow",
"dataset:prithivMLmods/Caption3o-Opt-v2",
"base_model:prithivMLmods/Qwen3-VisionCaption-2B",
"base_model:quantized:pr... | null | 2025-11-29T03:24:35Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/Foundation-Sec-8B-i1-GGUF | mradermacher | 2025-12-23T06:29:17Z | 161 | 1 | transformers | [
"transformers",
"gguf",
"security",
"en",
"base_model:fdtn-ai/Foundation-Sec-8B",
"base_model:quantized:fdtn-ai/Foundation-Sec-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2025-08-30T21:05:39Z | ## 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": 616,
"end": 641,
"text": "Foundation-Sec-8B-i1-GGUF",
"label": "benchmark name",
"score": 0.6546421647071838
},
{
"start": 1198,
"end": 1223,
"text": "Foundation-Sec-8B-i1-GGUF",
"label": "benchmark name",
"score": 0.6277798414230347
},
{
"start": 1378,... |
CIRCL/cwe-parent-vulnerability-classification-roberta-base | CIRCL | 2026-01-14T05:57:31Z | 148 | 3 | transformers | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"classification",
"nlp",
"vulnerability",
"CWE",
"dataset:CIRCL/vulnerability-cwe-patch",
"base_model:FacebookAI/roberta-base",
"base_model:finetune:FacebookAI/roberta-base",
"license:cc-b... | text-classification | 2025-08-13T10:09:09Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CWE guessing
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the
[CIRCL/vulnerabilit... | [
{
"start": 644,
"end": 652,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.9065988659858704
},
{
"start": 654,
"end": 660,
"text": "0.5455",
"label": "evaluation metric",
"score": 0.8148715496063232
},
{
"start": 673,
"end": 679,
"text": "0.3... |
stepfun-ai/Step1X-Edit-v1p2 | stepfun-ai | 2025-12-29T07:41:26Z | 839 | 58 | diffusers | [
"diffusers",
"safetensors",
"image-to-image",
"en",
"zh",
"arxiv:2511.22625",
"arxiv:2504.17761",
"license:apache-2.0",
"diffusers:Step1XEditPipeline",
"region:us"
] | image-to-image | 2025-11-26T06:12:18Z | ## 🔥🔥🔥 News!!
Nov 26, 2025: 👋 We release [Step1X-Edit-v1p2](https://huggingface.co/stepfun-ai/Step1X-Edit-v1p2) (referred to as **ReasonEdit-S** in the paper), a native reasoning edit model with better performance on KRIS-Bench and GEdit-Bench. Technical report can be found [here](https://arxiv.org/abs/2511.22625).... | [
{
"start": 130,
"end": 142,
"text": "ReasonEdit-S",
"label": "benchmark name",
"score": 0.7909180521965027
},
{
"start": 217,
"end": 227,
"text": "KRIS-Bench",
"label": "benchmark name",
"score": 0.8450402617454529
},
{
"start": 232,
"end": 243,
"text": "G... |
unsloth/Qwen3-VL-2B-Instruct-FP8 | unsloth | 2025-11-24T10:23:22Z | 187 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"unsloth",
"conversational",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-2B-Instruct-FP8",
"base_model:quantized:Qwen/Qwen3-VL-2B-Instruct-FP8",
"license:apache-2.0"... | image-text-to-text | 2025-11-24T10:23:13Z | > [!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>
... | [] |
unsloth/LFM2-8B-A1B | unsloth | 2025-10-08T08:46:13Z | 632 | 11 | transformers | [
"transformers",
"safetensors",
"lfm2_moe",
"text-generation",
"liquid",
"unsloth",
"lfm2",
"edge",
"moe",
"conversational",
"custom_code",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:LiquidAI/LFM2-8B-A1B",
"base_model:finetune:LiquidAI/LFM2-8B-A1B",
"license... | text-generation | 2025-10-08T08:01:23Z | > [!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>
... | [] |
bigcode/starcoder2-15b | bigcode | 2024-06-05T19:52:45Z | 15,541 | 664 | transformers | [
"transformers",
"safetensors",
"starcoder2",
"text-generation",
"code",
"dataset:bigcode/the-stack-v2-train",
"arxiv:2305.13245",
"arxiv:2205.14135",
"arxiv:2004.05150",
"arxiv:2207.14255",
"arxiv:2402.19173",
"license:bigcode-openrail-m",
"model-index",
"text-generation-inference",
"end... | text-generation | 2024-02-20T17:58:19Z | # StarCoder2
<center>
<img src="https://huggingface.co/datasets/bigcode/admin_private/resolve/main/starcoder2_banner.png" alt="SC2" width="900" height="600">
</center>
## Table of Contents
1. [Model Summary](#model-summary)
2. [Use](#use)
3. [Limitations](#limitations)
4. [Training](#training)
5. [License](#lic... | [] |
mradermacher/Stentor-30M-Instruct-GGUF | mradermacher | 2026-02-22T22:14:10Z | 327 | 4 | transformers | [
"transformers",
"gguf",
"text-generation",
"llama",
"small-language-model",
"efficient",
"edge-deployment",
"tiny-model",
"30m-parameters",
"safety-tuning",
"instruction-following",
"chat",
"lora",
"peft",
"beavertails",
"dolly",
"en",
"dataset:PKU-Alignment/BeaverTails",
"datase... | text-generation | 2026-02-22T22:13:02Z | ## 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... | [] |
inclusionAI/Ming-flash-omni-2.0 | inclusionAI | 2026-02-12T07:33:11Z | 9,683 | 256 | diffusers | [
"diffusers",
"onnx",
"safetensors",
"bailingmm_moe_v2_lite",
"any-to-any",
"custom_code",
"en",
"arxiv:2506.09344",
"arxiv:2510.24821",
"license:mit",
"region:us"
] | any-to-any | 2026-02-10T06:57:15Z | # Ming-flash-omni 2.0
<p align="center">
<img src="https://mdn.alipayobjects.com/huamei_drbxn1/afts/img/YLAgT5MSnLwAAAAAQXAAAAgADkliAQFr/original" width="100"/>
<p>
<p align="center">📑 <a href="https://arxiv.org/abs/2506.09344">Technical Report</a>｜🤗 <a href="https://huggingface.co/inclusionAI/Ming-flash-omni-2... | [] |
Anwarkh1/Skin_Cancer-Image_Classification | Anwarkh1 | 2024-03-19T10:58:56Z | 2,039 | 34 | transformers | [
"transformers",
"safetensors",
"vit",
"image-classification",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-classification | 2024-03-08T23:28:24Z | # Skin Cancer Image Classification Model
## Introduction
This model is designed for the classification of skin cancer images into various categories including benign keratosis-like lesions, basal cell carcinoma, actinic keratoses, vascular lesions, melanocytic nevi, melanoma, and dermatofibroma.
## Model Overview
-... | [] |
nvidia/parakeet-tdt_ctc-0.6b-ja | nvidia | 2025-02-18T13:15:55Z | 9,731 | 48 | nemo | [
"nemo",
"automatic-speech-recognition",
"speech",
"audio",
"Transducer",
"TDT",
"CTC",
"FastConformer",
"Conformer",
"pytorch",
"NeMo",
"ja",
"dataset:reazon-research/reazonspeech",
"arxiv:2304.06795",
"arxiv:2305.05084",
"license:cc-by-4.0",
"model-index",
"deploy:azure",
"regio... | automatic-speech-recognition | 2024-05-13T15:39:30Z | # Parakeet TDT-CTC 0.6B (ja)
<style>
img {
display: inline;
}
</style>
[](#model-architecture)
| [](#model-architecture)
| [![Langua... | [] |
zai-org/codegeex4-all-9b-GGUF | zai-org | 2024-07-15T09:09:00Z | 767 | 18 | null | [
"gguf",
"glm",
"codegeex",
"thudm",
"text-generation",
"zh",
"en",
"license:other",
"region:us",
"imatrix"
] | text-generation | 2024-07-13T07:46:53Z | # CodeGeeX4: Open Multilingual Code Generation Model
<center>
<img src="https://raw.githubusercontent.com/THUDM/CodeGeeX4/main/resources/logo.jpeg" alt="CodeGeeX4">
</center>
[中文](./README_zh.md)
[GitHub](https://github.com/THUDM/CodeGeeX4)
!!! This is the GGUF version of CodeGeeX4, the original versi... | [
{
"start": 161,
"end": 170,
"text": "CodeGeeX4",
"label": "benchmark name",
"score": 0.7285557389259338
},
{
"start": 245,
"end": 254,
"text": "CodeGeeX4",
"label": "benchmark name",
"score": 0.6665314435958862
},
{
"start": 998,
"end": 1010,
"text": "BigC... |
mradermacher/OmniDimen-2-8B-Emotion-GGUF | mradermacher | 2026-02-13T14:15:24Z | 305 | 1 | transformers | [
"transformers",
"gguf",
"zh",
"en",
"base_model:OmniDimen/OmniDimen-2-8B-Emotion",
"base_model:quantized:OmniDimen/OmniDimen-2-8B-Emotion",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-13T13:02:22Z | ## 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... | [
{
"start": 521,
"end": 548,
"text": "OmniDimen-2-8B-Emotion-GGUF",
"label": "benchmark name",
"score": 0.6155731678009033
}
] |
mradermacher/LightOnOCR-1B-1025-i1-GGUF | mradermacher | 2025-12-06T23:31:45Z | 157 | 1 | transformers | [
"transformers",
"gguf",
"ocr",
"document-understanding",
"vision-language",
"pdf",
"tables",
"forms",
"en",
"fr",
"de",
"es",
"it",
"nl",
"pt",
"sv",
"da",
"base_model:lightonai/LightOnOCR-1B-1025",
"base_model:quantized:lightonai/LightOnOCR-1B-1025",
"license:apache-2.0",
"e... | null | 2025-11-02T16:16:53Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/Huihui-gemma-3-270m-it-abliterated-GGUF | mradermacher | 2025-08-25T21:42:58Z | 347 | 2 | transformers | [
"transformers",
"gguf",
"gemma3",
"gemma",
"google",
"generated_from_trainer",
"trl",
"sft",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-gemma-3-270m-it-abliterated",
"base_model:quantized:huihui-ai/Huihui-gemma-3-270m-it-abliterated",
"license:gemma",
"endpoints_comp... | null | 2025-08-25T16:19:01Z | ## 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... | [] |
TheBloke/Llama-2-13B-chat-GGUF | TheBloke | 2023-09-27T12:47:12Z | 7,637 | 204 | transformers | [
"transformers",
"gguf",
"llama",
"facebook",
"meta",
"pytorch",
"llama-2",
"text-generation",
"en",
"arxiv:2307.09288",
"base_model:meta-llama/Llama-2-13b-chat-hf",
"base_model:quantized:meta-llama/Llama-2-13b-chat-hf",
"license:llama2",
"region:us"
] | text-generation | 2023-09-04T17:20:15Z | <!-- 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... | [] |
mlabonne/gemma-3-4b-it-abliterated-GGUF | mlabonne | 2025-03-17T20:08:14Z | 1,872 | 30 | transformers | [
"transformers",
"gguf",
"autoquant",
"image-text-to-text",
"base_model:google/gemma-3-4b-it",
"base_model:quantized:google/gemma-3-4b-it",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-03-17T19:44:06Z | # 💎 Gemma 3 4B IT Abliterated
<center><a href="https://huggingface.co/mlabonne/gemma-3-12b-it-abliterated">Gemma 3 12B Abliterated</a> • <a href="https://huggingface.co/mlabonne/gemma-3-27b-it-ablite... | [] |
OpceanAI/Yuuki-best | OpceanAI | 2026-02-17T06:37:15Z | 1,773 | 3 | pytorch | [
"pytorch",
"safetensors",
"gguf",
"llamafile",
"gpt2",
"text-generation",
"code",
"transformers",
"en",
"es",
"dataset:bigcode/the-stack",
"dataset:OpceanAI/Yuuki-dataset",
"base_model:openai-community/gpt2",
"base_model:quantized:openai-community/gpt2",
"doi:10.57967/hf/7712",
"licens... | text-generation | 2026-01-30T16:28:36Z | <div align="center">
<br>
<img src="https://img.shields.io/badge/%E2%9C%A6-YUUKI--BEST-000000?style=for-the-badge&labelColor=000000" alt="Yuuki Best" height="50">
<br><br>
# The Best Checkpoint of the $0 Phone-Trained LLM
**Strongest initial model trained entirely on a smartphone.**<br>
**GPT-2 architecture. Check... | [] |
Salesforce/blip-image-captioning-large | Salesforce | 2025-02-03T06:42:42Z | 1,363,187 | 1,458 | transformers | [
"transformers",
"pytorch",
"tf",
"safetensors",
"blip",
"image-text-to-text",
"image-captioning",
"image-to-text",
"arxiv:2201.12086",
"license:bsd-3-clause",
"endpoints_compatible",
"region:us"
] | image-to-text | 2022-12-13T11:27:40Z | # BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Model card for image captioning pretrained on COCO dataset - base architecture (with ViT large backbone).
| ![BLIP.gif](https://cdn-uploads.huggingface.co/production/uploads/1670928184033-62441d1d9fdefb55a0b7d12... | [
{
"start": 1414,
"end": 1423,
"text": "VQA score",
"label": "evaluation metric",
"score": 0.8843638896942139
}
] |
mradermacher/ATLAS-8B-Thinking-i1-GGUF | mradermacher | 2025-12-07T20:17:14Z | 1,065 | 1 | transformers | [
"transformers",
"gguf",
"reinforcement-learning",
"teacher-student",
"adaptive-learning",
"pedagogy",
"rlhf",
"rlaif",
"en",
"dataset:Arc-Intelligence/Arc-ATLAS-Teach-v0",
"base_model:Arc-Intelligence/ATLAS-8B-Thinking",
"base_model:quantized:Arc-Intelligence/ATLAS-8B-Thinking",
"license:apa... | reinforcement-learning | 2025-09-13T11:46:49Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [
{
"start": 471,
"end": 488,
"text": "ATLAS-8B-Thinking",
"label": "benchmark name",
"score": 0.7408908605575562
},
{
"start": 625,
"end": 650,
"text": "ATLAS-8B-Thinking-i1-GGUF",
"label": "benchmark name",
"score": 0.7445709705352783
},
{
"start": 724,
"end":... |
mradermacher/Qwen3.5-4B-ARA-heresy-v2-i1-GGUF | mradermacher | 2026-04-18T15:20:31Z | 161 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:MuXodious/Qwen3.5-4B-ARA-heresy-v2",
"base_model:quantized:MuXodious/Qwen3.5-4B-ARA-heresy-v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-08T07:05:09Z | ## 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_... | [
{
"start": 626,
"end": 658,
"text": "Qwen3.5-4B-ARA-heresy-v2-i1-GGUF",
"label": "benchmark name",
"score": 0.7241421341896057
},
{
"start": 732,
"end": 761,
"text": "Qwen3.5-4B-ARA-heresy-v2-GGUF",
"label": "benchmark name",
"score": 0.6640828847885132
},
{
"star... |
mradermacher/Qwen3-30B-A3B-Thinking-2507-Gemini-2.5-Flash-Distill-i1-GGUF | mradermacher | 2025-12-04T07:17:44Z | 128 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3",
"en",
"dataset:TeichAI/gemini-2.5-flash-11000x",
"base_model:TeichAI/Qwen3-30B-A3B-Thinking-2507-Gemini-2.5-Flash-Distill",
"base_model:quantized:TeichAI/Qwen3-30B-A3B-Thinking-2507-Gemini-2.5-Flash-Distill",
"license:apache-... | null | 2025-12-01T07:10:13Z | ## 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_... | [] |
d3LLM/d3LLM_Dream | d3LLM | 2026-03-15T05:40:33Z | 624 | 2 | transformers | [
"transformers",
"safetensors",
"Dream",
"feature-extraction",
"diffusion",
"text-generation",
"fast-inference",
"d3llm",
"conversational",
"custom_code",
"dataset:d3LLM/trajectory_data_dream_32",
"arxiv:2601.07568",
"base_model:Dream-org/Dream-v0-Instruct-7B",
"base_model:finetune:Dream-or... | text-generation | 2025-10-31T05:02:56Z | # d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation 🚀
This repository contains the **d3LLM-Dream** model, an ultra-fast diffusion language model introduced in the paper [d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation](https://huggingface.co/papers/2601.07568).
- 📄 **Paper**:... | [] |
Falconsai/medical_summarization | Falconsai | 2024-01-20T12:48:04Z | 3,709 | 147 | transformers | [
"transformers",
"pytorch",
"coreml",
"safetensors",
"t5",
"text2text-generation",
"medical",
"summarization",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | summarization | 2023-10-23T03:15:02Z | # Model Card: T5 Large for Medical Text Summarization
## Model Description
The **T5 Large for Medical Text Summarization** is a specialized variant of the T5 transformer model, fine-tuned for the task of summarizing medical text. This model is designed to generate concise and coherent summaries of medical documents, ... | [] |
nzl-thu/LLaDA-Instruct-JustGRPO-GSM8K | nzl-thu | 2026-01-23T11:09:18Z | 273 | 7 | transformers | [
"transformers",
"safetensors",
"llada",
"feature-extraction",
"reasoning",
"math",
"diffusion-language-model",
"text-generation",
"custom_code",
"arxiv:2601.15165",
"base_model:GSAI-ML/LLaDA-8B-Instruct",
"base_model:finetune:GSAI-ML/LLaDA-8B-Instruct",
"license:mit",
"region:us"
] | text-generation | 2026-01-11T12:58:03Z | # LLaDA-Instruct-JustGRPO
This model is [LLaDA-8B-Instruct](https://huggingface.co/GSAI-ML/LLaDA-8B-Instruct) fine-tuned with **JustGRPO** on GSM8K.
It was introduced in the paper [The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models](https://huggingface.co/papers/2601.151... | [] |
onnx-community/FastVLM-0.5B-ONNX | onnx-community | 2025-09-02T16:34:38Z | 467 | 107 | transformers.js | [
"transformers.js",
"onnx",
"llava_qwen2",
"text-generation",
"fastvlm",
"image-text-to-text",
"conversational",
"arxiv:2412.13303",
"base_model:apple/FastVLM-0.5B",
"base_model:quantized:apple/FastVLM-0.5B",
"license:apple-amlr",
"region:us"
] | image-text-to-text | 2025-05-14T23:31:31Z | # FastVLM: Efficient Vision Encoding for Vision Language Models
FastVLM was introduced in
**[FastVLM: Efficient Vision Encoding for Vision Language Models](https://www.arxiv.org/abs/2412.13303). (CVPR 2025)**
Try it out using the [online demo](https://huggingface.co/spaces/apple/fastvlm-webgpu), which runs 100% local... | [
{
"start": 197,
"end": 206,
"text": "CVPR 2025",
"label": "benchmark name",
"score": 0.7285643219947815
}
] |
nvidia/Llama-3_1-Nemotron-Ultra-253B-v1 | nvidia | 2025-10-15T16:21:20Z | 935 | 343 | transformers | [
"transformers",
"safetensors",
"nemotron-nas",
"text-generation",
"nvidia",
"llama-3",
"pytorch",
"conversational",
"custom_code",
"en",
"arxiv:2503.18908",
"arxiv:2505.00949",
"arxiv:2502.00203",
"arxiv:2411.19146",
"license:other",
"region:us"
] | text-generation | 2025-04-07T18:47:10Z | # Llama-3.1-Nemotron-Ultra-253B-v1
## Model Overview
Llama-3.1-Nemotron-Ultra-253B-v1 is a large language model (LLM) which is a derivative of [Meta Llama-3.1-405B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct) (AKA the *reference model*). It is a reasonin... | [] |
mradermacher/Mermaid_PythonCoder-GGUF | mradermacher | 2024-05-06T04:40:17Z | 284 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:TroyDoesAI/Mermaid_PythonCoder",
"base_model:quantized:TroyDoesAI/Mermaid_PythonCoder",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T16:01:58Z | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TroyDoesAI/Mermaid_PythonCoder
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | [] |
Girinath11/recursive-language-model-198m | Girinath11 | 2026-03-31T04:58:26Z | 1,388 | 12 | transformers | [
"transformers",
"safetensors",
"recursive_language_model",
"text-generation",
"pytorch",
"transformer",
"recursive-language-model",
"mixture-of-recursion",
"adaptive-computation",
"perplexity-routing",
"self-supervised-perplexity-guided-adaptive-compute",
"custom_code",
"en",
"dataset:Anth... | text-generation | 2026-01-10T07:30:05Z | # Mixture of Recursion Language Model — 198M (Adaptive Computation)
198M parameter language model **Built from scratch** on a single T4 GPU — no pretrained base, no fine-tuning. Novel self-supervised perplexity-guided adaptive computation via Mixture of Recursion (MoR).
---
## Novel Architecture: Mixture of Recursio... | [] |
FreedomIntelligence/HuatuoGPT-o1-72B | FreedomIntelligence | 2025-01-09T18:09:16Z | 181 | 35 | null | [
"safetensors",
"medical",
"text-generation",
"en",
"zh",
"dataset:FreedomIntelligence/medical-o1-reasoning-SFT",
"dataset:FreedomIntelligence/medical-o1-verifiable-problem",
"arxiv:2412.18925",
"base_model:Qwen/Qwen2.5-72B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-72B-Instruct",
"license:apac... | text-generation | 2024-12-28T03:21:37Z | <div align="center">
<h1>
HuatuoGPT-o1-72B
</h1>
</div>
<div align="center">
<a href="https://github.com/FreedomIntelligence/HuatuoGPT-o1" target="_blank">GitHub</a> | <a href="https://arxiv.org/pdf/2412.18925" target="_blank">Paper</a>
</div>
# <span>Introduction</span>
**HuatuoGPT-o1** is a medical LLM designed f... | [] |
mradermacher/Qwen3-VL-4B-Instruct-c_abliterated-v2-i1-GGUF | mradermacher | 2026-02-11T11:51:58Z | 239 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"c_abliterated",
"v2.0",
"code",
"refusal",
"en",
"base_model:prithivMLmods/Qwen3-VL-4B-Instruct-c_abliterated-v2",
"base_model:quantized:prithivMLmods/Qwen3-VL-4B-Instruct-c_abliterated-v2",
"license:apache-2.0",
"endpoints_compatible",
"... | null | 2026-02-11T10:55:26Z | ## 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_... | [] |
yasserrmd/gpt-oss-coder-20b | yasserrmd | 2025-08-09T10:34:04Z | 203 | 13 | transformers | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"text-generation-inference",
"unsloth",
"conversational",
"en",
"dataset:microsoft/rStar-Coder",
"base_model:unsloth/gpt-oss-20b-unsloth-bnb-4bit",
"base_model:finetune:unsloth/gpt-oss-20b-unsloth-bnb-4bit",
"license:apache-2.0",
"... | text-generation | 2025-08-09T09:40:54Z | # GPT-OSS-Coder-20B
<img src="banner.png" width="800" />
This model is a fine-tuned version of OpenAI's **GPT-OSS-20B**, optimized for code generation tasks. The fine-tuning leveraged the **Unsloth** library to enable efficient low-bit quantized training and inference.
## Model Details
* **Base Model:** [openai/gpt... | [] |
JetBrains/Mellum-4b-dpo-all-gguf | JetBrains | 2025-10-01T15:17:51Z | 196 | 5 | transformers | [
"transformers",
"gguf",
"code",
"dataset:bigcode/the-stack",
"dataset:bigcode/the-stack-v2",
"dataset:bigcode/starcoderdata",
"dataset:bigcode/commitpack",
"base_model:JetBrains/Mellum-4b-dpo-all",
"base_model:quantized:JetBrains/Mellum-4b-dpo-all",
"license:apache-2.0",
"endpoints_compatible",
... | null | 2025-09-30T15:54:18Z | # Model Description
Mellum-4b-dpo-all is the third stage of our pipeline (after pretraining and SFT), trained with direct preference optimization on code-quality preferences to produce more readable, useful code.
Pre-trained on over 4 trillion tokens with a context window of 8192 tokens across multiple programming ... | [] |
mradermacher/Luna-Qwen3.5-9B-v5-GGUF | mradermacher | 2026-03-11T10:43:27Z | 1,083 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:claekchen/Luna-Qwen3.5-9B-v5",
"base_model:quantized:claekchen/Luna-Qwen3.5-9B-v5",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-11T10:00:31Z | ## 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... | [
{
"start": 517,
"end": 540,
"text": "Luna-Qwen3.5-9B-v5-GGUF",
"label": "benchmark name",
"score": 0.7099407911300659
},
{
"start": 624,
"end": 650,
"text": "Luna-Qwen3.5-9B-v5-i1-GGUF",
"label": "benchmark name",
"score": 0.6515857577323914
}
] |
TheBloke/Mixtral-8x7B-v0.1-GGUF | TheBloke | 2023-12-14T14:30:53Z | 4,943 | 437 | transformers | [
"transformers",
"gguf",
"mixtral",
"fr",
"it",
"de",
"es",
"en",
"base_model:mistralai/Mixtral-8x7B-v0.1",
"base_model:quantized:mistralai/Mixtral-8x7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2023-12-11T13:23:32Z | <!-- 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:... | [] |
aiqwen/next-scene-qwen-image-lora-2509 | aiqwen | 2025-10-25T20:57:37Z | 269 | 8 | diffusers | [
"diffusers",
"lora",
"cinematic",
"comfyui",
"qwen",
"image-editing",
"next-scene",
"ai-video",
"image-to-image",
"en",
"base_model:Qwen/Qwen-Image-Edit-2509",
"base_model:adapter:Qwen/Qwen-Image-Edit-2509",
"license:mit",
"region:us"
] | image-to-image | 2025-10-25T20:57:37Z | # 🎥 next-scene-qwen-image-lora-2509
---
## 🎉 ✨ **UPDATE - Version 2 Now Available! (21 Oct 2025)** ✨ 🎉
🚀 **New Model:** `next-scene_lora-v2-3000.safetensors`
**What's New in V2:**
- 🎯 **Trained on higher quality data** for significantly improved results
- 💪 **Better command responsiveness** - the model follow... | [] |
tiiuae/Falcon-H1-7B-Instruct | tiiuae | 2025-07-31T04:02:32Z | 1,692 | 33 | transformers | [
"transformers",
"safetensors",
"falcon_h1",
"text-generation",
"falcon-h1",
"conversational",
"ar",
"cs",
"de",
"en",
"es",
"fr",
"hi",
"it",
"ja",
"ko",
"nl",
"pl",
"pt",
"ro",
"ru",
"sv",
"ur",
"zh",
"arxiv:2507.22448",
"base_model:tiiuae/Falcon-H1-7B-Base",
"ba... | text-generation | 2025-05-01T15:44:30Z | <img src="https://huggingface.co/datasets/tiiuae/documentation-images/resolve/main/falcon_mamba/falcon-h1-logo.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... | [] |
unsloth/DeepSeek-R1-Distill-Qwen-7B | unsloth | 2025-02-14T23:55:22Z | 4,315 | 18 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"deepseek",
"qwen",
"unsloth",
"conversational",
"en",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
"base_model:finetune:deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
"license:apache-2.0",
"text-generation-inference",
"endpoin... | text-generation | 2025-01-20T12:27:42Z | ## ***See [our collection](https://huggingface.co/collections/unsloth/deepseek-r1-all-versions-678e1c48f5d2fce87892ace5) for versions of Deepseek-R1 including GGUF and original formats.***
# Finetune LLMs 2-5x faster with 70% less memory via Unsloth!
We have a free Google Colab Tesla T4 notebook for Llama 3.1 (8B) he... | [] |
protonx-models/nano-protonx-legal-tc | protonx-models | 2025-12-11T11:18:19Z | 291 | 4 | protonx-text-correction | [
"protonx-text-correction",
"safetensors",
"t5",
"text-to-text",
"vi",
"region:us"
] | null | 2025-12-11T04:53:23Z | <div align="center">
<p align="center">
<img src="https://storage.googleapis.com/mle-courses-prod/users/61b6fa1ba83a7e37c8309756/private-files/018f9e40-d681-11f0-92ab-79af56b23c9c-Generated_Image_December_11,_2025_-_6_02PM.jpeg" width="260"/>
</p>
<h1 align="center">
Nano Vietnamese Legal Document Correction
</h1... | [] |
opensearch-project/opensearch-neural-sparse-encoding-v1 | opensearch-project | 2025-06-30T06:29:12Z | 3,488 | 14 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"safetensors",
"bert",
"fill-mask",
"learned sparse",
"opensearch",
"transformers",
"retrieval",
"passage-retrieval",
"query-expansion",
"document-expansion",
"bag-of-words",
"sparse-encoder",
"sparse",
"splade",
"feature-extraction",
"en",
"ar... | feature-extraction | 2024-03-07T07:28:01Z | # opensearch-neural-sparse-encoding-v1
## Select the model
The model should be selected considering search relevance, model inference and retrieval efficiency(FLOPS). We benchmark models' **zero-shot performance** on a subset of BEIR benchmark: TrecCovid,NFCorpus,NQ,HotpotQA,FiQA,ArguAna,Touche,DBPedia,SCIDOCS,FEVER,C... | [
{
"start": 160,
"end": 165,
"text": "FLOPS",
"label": "evaluation metric",
"score": 0.7779045701026917
},
{
"start": 246,
"end": 255,
"text": "TrecCovid",
"label": "benchmark name",
"score": 0.7382434010505676
},
{
"start": 256,
"end": 264,
"text": "NFCorp... |
AngelSlim/Qwen3-4B_int4_awq | AngelSlim | 2025-07-10T09:31:26Z | 248 | 1 | null | [
"safetensors",
"qwen3",
"4-bit",
"awq",
"region:us"
] | null | 2025-07-02T04:44:35Z | <p align="center">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/Tencent/AngelSlim/blob/main/docs/source/assets/logos/angelslim_logo_light.png?raw=true">
<img alt="AngelSlim" src="https://github.com/Tencent/AngelSlim/blob/main/docs/source/assets/logos/angelslim_logo.png?raw... | [] |
pitangent-ds/YOLOv8-human-detection-thermal | pitangent-ds | 2024-05-28T06:17:15Z | 1,250 | 7 | ultralytics | [
"ultralytics",
"tensorboard",
"object-detection",
"pytorch",
"roboflow-universe",
"human-detection",
"yolov8",
"license:agpl-3.0",
"region:us"
] | object-detection | 2023-11-05T06:10:48Z | # Human Detection using Thermal Camera
## Use Case
This model is can be used for detecting humans from thermal images. This should work on both Pseudo-color and Grayscale thermal images. The model was fine tuned for humans only but can be finetuned further fort detecting other objects using Thermal images.
To deplo... | [] |
z-lab/Qwen3-Coder-30B-A3B-DFlash | z-lab | 2026-04-07T14:32:49Z | 654 | 28 | transformers | [
"transformers",
"safetensors",
"qwen3",
"feature-extraction",
"dflash",
"speculative-decoding",
"diffusion",
"efficiency",
"flash-decoding",
"qwen",
"diffusion-language-model",
"text-generation",
"custom_code",
"arxiv:2602.06036",
"license:mit",
"text-generation-inference",
"endpoint... | text-generation | 2026-01-12T04:06:42Z | # Qwen3-Coder-30B-A3B-DFlash
[**Paper**](https://arxiv.org/abs/2602.06036) | [**GitHub**](https://github.com/z-lab/dflash) | [**Blog**](https://z-lab.ai/projects/dflash/)
**DFlash** is a novel speculative decoding method that utilizes a lightweight **block diffusion** model for drafting. It enables efficient, high-qua... | [] |
mradermacher/Violet-Starlight-12B-i1-GGUF | mradermacher | 2026-01-29T13:17:13Z | 375 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Vortex5/Violet-Starlight-12B",
"base_model:quantized:Vortex5/Violet-Starlight-12B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-29T11:31:29Z | ## 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": 620,
"end": 648,
"text": "Violet-Starlight-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.6656095385551453
},
{
"start": 1208,
"end": 1236,
"text": "Violet-Starlight-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.6681272387504578
},
{
"start":... |
jonathandinu/face-parsing | jonathandinu | 2026-02-18T22:38:54Z | 314,494 | 209 | transformers | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"segformer",
"vision",
"image-segmentation",
"nvidia/mit-b5",
"transformers.js",
"en",
"dataset:celebamaskhq",
"arxiv:2105.15203",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-segmentation | 2022-07-06T01:22:42Z | # Face Parsing
[Semantic segmentation](https://huggingface.co/docs/transformers/tasks/semantic_segmentation) model fine-tuned from [nvidia/mit-b5](https://huggingface.co/nvidia/mit-b5) with [CelebAMask-HQ](https://github.com/switchablenorms/CelebAMask-HQ) for face parsing. For ad... | [] |
onnx-community/pyannote-segmentation-3.0 | onnx-community | 2025-07-08T04:14:39Z | 1,793 | 40 | transformers.js | [
"transformers.js",
"onnx",
"pyannote",
"base_model:pyannote/segmentation-3.0",
"base_model:quantized:pyannote/segmentation-3.0",
"license:mit",
"region:us"
] | null | 2024-07-12T12:54:46Z | https://huggingface.co/pyannote/segmentation-3.0 with ONNX weights to be compatible with Transformers.js.
## Transformers.js (v3) usage
```js
import { AutoProcessor, AutoModelForAudioFrameClassification, read_audio } from '@huggingface/transformers';
// Load model and processor
const model_id = 'onnx-community/pyan... | [] |
mradermacher/NVIDIA-Orchestrator-Cybersecurity-8B-Merged-GGUF | mradermacher | 2025-12-06T21:42:30Z | 219 | 2 | transformers | [
"transformers",
"gguf",
"cybersecurity",
"security",
"nvidia",
"nemotron",
"fine-tuned",
"merged",
"text-generation",
"en",
"dataset:Trendyol/Trendyol-Cybersecurity-Instruction-Tuning-Dataset",
"dataset:AlicanKiraz0/Cybersecurity-Dataset-Fenrir-v2.0",
"base_model:sainikhiljuluri2015/NVIDIA-O... | text-generation | 2025-12-06T21:11:22Z | ## 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... | [
{
"start": 552,
"end": 600,
"text": "NVIDIA-Orchestrator-Cybersecurity-8B-Merged-GGUF",
"label": "benchmark name",
"score": 0.7264175415039062
},
{
"start": 1296,
"end": 1344,
"text": "NVIDIA-Orchestrator-Cybersecurity-8B-Merged-GGUF",
"label": "benchmark name",
"score": ... |
QuantFactory/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored-GGUF | QuantFactory | 2024-07-29T06:43:25Z | 7,932 | 137 | null | [
"gguf",
"roleplay",
"llama3",
"sillytavern",
"idol",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"text-generation",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"zh",
"ko",
"ja",
"arxiv:2204.05149",
"license:llama3.1",
"endpoints_compatible",
"region:us",
... | text-generation | 2024-07-28T07:02:48Z | ---
language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
- zh
- ko
- ja
license: llama3.1
pipeline_tag: text-generation
tags:
- roleplay
- llama3
- sillytavern
- idol
- facebook
- meta
- pytorch
- llama
- llama-3
extra_gated_fields:
First Name: text
Last Name: text
Date of birth: date_picker
Country: country
Af... | [] |
inferencerlabs/Qwen3.5-9B-MLX-4.5bit | inferencerlabs | 2026-03-06T03:35:26Z | 621 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"quantized",
"text-generation",
"conversational",
"en",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"4-bit",
"region:us"
] | text-generation | 2026-03-06T03:32:48Z | **See Qwen3.5-9B MLX in action - [demonstration video - coming soon](https://youtu.be/tzF8jv3VGAg)**
#### Tested on a M3 Ultra 512GB RAM using [Inferencer app](https://inferencer.com)
- Single inference ~121.5 tokens/s @ 1000 tokens
- Batched inference ~ total tokens/s across five inferences
- Memory usage: ~4.88 GiB
... | [
{
"start": 414,
"end": 424,
"text": "Perplexity",
"label": "evaluation metric",
"score": 0.7864077091217041
},
{
"start": 427,
"end": 441,
"text": "Token Accuracy",
"label": "evaluation metric",
"score": 0.8870421051979065
},
{
"start": 444,
"end": 461,
"t... |
apothic/Qwen3.5-9B-ultra-heretic-fp8 | apothic | 2026-03-06T22:23:55Z | 759 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"fp8",
"sglang",
"modal",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"base_model:llmfan46/Qwen3.5-9B-ultra-heretic",
"base_model:quantized:llmfan46/Qwen3.5-9B-ultra-heretic",
"license:apache-2.0"... | image-text-to-text | 2026-03-06T22:22:38Z | # Qwen3.5-9B Ultra Heretic FP8
This repository contains an offline-FP8 version of [`llmfan46/Qwen3.5-9B-ultra-heretic`](https://huggingface.co/llmfan46/Qwen3.5-9B-ultra-heretic), prepared for serving on a single NVIDIA `L40S` with SGLang.
This is not a GGUF export and not an online quantization recipe. It is a saved ... | [] |
mradermacher/Dark-Nexus-24B-v2.0-i1-GGUF | mradermacher | 2025-12-04T18:43:28Z | 3,718 | 5 | transformers | [
"transformers",
"gguf",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"Other License",
"en",
"base_model:ReadyArt/Dark-Nexus-24B-v2.0",
"base_model:quantized:ReadyArt/Dark-Nexus-24B-v2.0",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversati... | null | 2025-12-02T17:54:33Z | ## 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_... | [] |
unsloth/Qwen3-VL-235B-A22B-Thinking-1M-GGUF | unsloth | 2025-11-01T09:37:16Z | 573 | 1 | null | [
"gguf",
"unsloth",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-235B-A22B-Thinking",
"base_model:quantized:Qwen/Qwen3-VL-235B-A22B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-01T02:06:08Z | > [!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>
... | [] |
mlabonne/gemma-3-27b-it-qat-abliterated-GGUF | mlabonne | 2025-05-30T01:49:43Z | 476 | 12 | transformers | [
"transformers",
"gguf",
"autoquant",
"image-text-to-text",
"base_model:google/gemma-3-27b-it-qat-q4_0-unquantized",
"base_model:quantized:google/gemma-3-27b-it-qat-q4_0-unquantized",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-05-29T21:38:01Z | # 💎 Gemma 3 27B IT QAT Abliterated
<center>Gemma 3 QAT Abliterated <a href="https://huggingface.co/mlabonne/gemma-3-1b-it-qat-abliterated">1B</a> • <a href="https://huggingface.co/mlabonne/gemma-3-4b... | [] |
trillionlabs/Tri-21B-Think-Preview | trillionlabs | 2026-02-19T14:01:15Z | 675 | 4 | transformers | [
"transformers",
"safetensors",
"trillion",
"text-generation",
"finetuned",
"chat",
"reasoning",
"conversational",
"custom_code",
"en",
"ko",
"ja",
"base_model:trillionlabs/Tri-21B",
"base_model:finetune:trillionlabs/Tri-21B",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-15T18:11:45Z | <p align="center">
<picture>
<img src="https://raw.githubusercontent.com/trillion-labs/.github/main/Tri-21B-Think.png" alt="Tri-21B-Think-Preview" style="width: 80%;">
</picture>
</p>
## Introduction
**Tri-21B-Think-Preview** is an intermediate checkpoint of [Tri-21B-Think](https://huggingface.co/trillionlabs/Tri-2... | [] |
BAAI/bge-reranker-v2-gemma | BAAI | 2024-03-19T09:26:32Z | 23,304 | 83 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"gemma",
"text-generation",
"transformers",
"text-classification",
"multilingual",
"arxiv:2312.15503",
"arxiv:2402.03216",
"license:apache-2.0",
"deploy:azure",
"region:us"
] | text-classification | 2024-03-16T12:09:04Z | # Reranker
**More details please refer to our Github: [FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding/tree/master).**
- [Model List](#model-list)
- [Usage](#usage)
- [Fine-tuning](#fine-tune)
- [Evaluation](#evaluation)
- [Citation](#citation)
Different from embedding model, reranker uses question and docu... | [
{
"start": 402,
"end": 417,
"text": "relevance score",
"label": "evaluation metric",
"score": 0.6873213052749634
}
] |
qualcomm/EfficientNet-V2-s | qualcomm | 2026-04-28T06:54:05Z | 475 | 1 | pytorch | [
"pytorch",
"backbone",
"bu_auto",
"android",
"image-classification",
"arxiv:2104.00298",
"license:other",
"region:us"
] | image-classification | 2024-11-27T00:17:47Z | 
# EfficientNet-V2-s: Optimized for Qualcomm Devices
EfficientNetV2-s is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in build... | [] |
huihui-ai/Huihui-Step3-VL-10B-abliterated | huihui-ai | 2026-01-21T00:54:38Z | 835 | 19 | transformers | [
"transformers",
"safetensors",
"step_robotics",
"text-generation",
"abliterated",
"uncensored",
"image-text-to-text",
"conversational",
"custom_code",
"base_model:stepfun-ai/Step3-VL-10B",
"base_model:finetune:stepfun-ai/Step3-VL-10B",
"license:apache-2.0",
"endpoints_compatible",
"region:... | image-text-to-text | 2026-01-17T14:44:54Z | # huihui-ai/Huihui-Step3-VL-10B-abliterated
This is an uncensored version of [stepfun-ai/Step3-VL-10B](https://huggingface.co/stepfun-ai/Step3-VL-10B) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
It was on... | [] |
ACE-Brain/ACE-Brain-0-8B | ACE-Brain | 2026-03-04T14:25:45Z | 430 | 8 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"arxiv:2603.03198",
"base_model:ACE-Brain/ACE-Brain-0-8B",
"base_model:finetune:ACE-Brain/ACE-Brain-0-8B",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-02-26T08:41:39Z | <div align="center">
<img src="./assets/title.png" width=600>
</div>
<br/>
<div align="center" style="line-height: 1;">
|
<a href="https://huggingface.co/ACE-Brain/ACE-Brain-8B" target="_blank">🤗 HuggingFace</a>
|
<a href="https://ACE-Brain-Team.github.io/ACE-Brain-0/" target="_blank"> 📁 Project Pag... | [] |
stabilityai/stable-diffusion-3.5-large-controlnet-depth | stabilityai | 2024-11-28T00:56:12Z | 57,911 | 15 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion",
"controlnet",
"text-to-image",
"en",
"arxiv:2302.05543",
"license:other",
"region:us"
] | text-to-image | 2024-11-25T18:34:37Z | # Stable Diffusion 3.5 Large Controlnet - Depth
## Model
This repository provides the Depth ControlNet for [Stable Diffusion 3.5 Large.](https://stability.ai/news/introducing-stable-diffusion-3-5).
Please note: This model is released under the [Stability Community License](https:... | [] |
common-pile/comma-v0.1-1t | common-pile | 2025-06-06T03:47:21Z | 451 | 26 | null | [
"safetensors",
"llama",
"en",
"dataset:common-pile/comma_v0.1_training_dataset",
"arxiv:2506.05209",
"license:apache-2.0",
"region:us"
] | null | 2025-05-15T22:29:12Z | # Comma v0.1-1T
Comma v0.1-1T is a 7 billion parameter language model trained on 1 trillion tokens from [the Comma v0.1 dataset](https://huggingface.co/datasets/common-pile/comma_v0.1_training_dataset), comprising of openly licensed text from [the Common Pile](https://huggingface.co/collections/common-pile/common-pile... | [] |
mlabonne/gemma-3-12b-it-qat-abliterated-GGUF | mlabonne | 2025-05-29T13:41:27Z | 671 | 9 | transformers | [
"transformers",
"gguf",
"autoquant",
"image-text-to-text",
"base_model:google/gemma-3-12b-it-qat-q4_0-unquantized",
"base_model:quantized:google/gemma-3-12b-it-qat-q4_0-unquantized",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-05-29T11:48:04Z | # 💎 Gemma 3 12B IT QAT Abliterated
<center>Gemma 3 QAT Abliterated <a href="https://huggingface.co/mlabonne/gemma-3-1b-it-qat-abliterated">1B</a> • <a href="https://huggingface.co/mlabonne/gemma-3-4b... | [] |
sokann/Qwen3.5-27B-GGUF-4.915bpw | sokann | 2026-03-13T19:03:46Z | 823 | 3 | null | [
"gguf",
"qwen3_5",
"conversational",
"ik_llama.cpp",
"base_model:Qwen/Qwen3.5-27B",
"base_model:quantized:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-03-13T17:41:52Z | # Qwen3.5-27B-GGUF-4.915bpw
This is a 4.915 BPW quantized model for the GPU poors with 24 GiB of VRAM. It uses the SOTA IQK quants, and thus works in ik_llama.cpp only.
From local testing with llama-perplexity, it has the best quality compared to the quants tested in https://www.reddit.com/r/LocalLLaMA/comments/1rk5q... | [] |
mradermacher/Qwen3-Coder-Next-REAP-40B-A3B-i1-GGUF | mradermacher | 2026-02-14T05:40:24Z | 7,701 | 7 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"en",
"base_model:lovedheart/Qwen3-Coder-Next-REAP-40B-A3B",
"base_model:quantized:lovedheart/Qwen3-Coder-Next-REAP-40B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-10T18:39:37Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 632,
"end": 669,
"text": "Qwen3-Coder-Next-REAP-40B-A3B-i1-GGUF",
"label": "benchmark name",
"score": 0.660020649433136
},
{
"start": 1238,
"end": 1275,
"text": "Qwen3-Coder-Next-REAP-40B-A3B-i1-GGUF",
"label": "benchmark name",
"score": 0.6102879643440247
}
... |
dragonkue/snowflake-arctic-embed-l-v2.0-ko | dragonkue | 2025-10-16T10:02:27Z | 21,622 | 46 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"xlm-roberta",
"sentence-similarity",
"feature-extraction",
"generated_from_trainer",
"loss:CachedGISTEmbedLoss",
"ko",
"en",
"arxiv:1908.10084",
"arxiv:2412.04506",
"arxiv:2407.18887",
"arxiv:2410.02525",
"base_model:Snowflake/snowflake-arctic-embed... | sentence-similarity | 2025-03-07T15:34:52Z | <img src="https://cdn-uploads.huggingface.co/production/uploads/642b0c2fecec03b4464a1d9b/9uN5ypGY-GRGgakLs_s1o.png" width="600">
# SentenceTransformer based on Snowflake/snowflake-arctic-embed-l-v2.0
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [Snowflake/snowflake-arctic-embed-l-v2.0... | [] |
lightx2v/Hy1.5-Quantized-Models | lightx2v | 2025-11-24T11:25:45Z | 496 | 42 | diffusers | [
"diffusers",
"diffusion-single-file",
"comfyui",
"distillation",
"video",
"video genration",
"image-to-video",
"base_model:tencent/HunyuanVideo-1.5",
"base_model:finetune:tencent/HunyuanVideo-1.5",
"license:apache-2.0",
"region:us"
] | image-to-video | 2025-11-21T03:25:52Z | # 🎬 Hy1.5-Quantized-Models
<img src="https://raw.githubusercontent.com/ModelTC/LightX2V/main/assets/img_lightx2v.png" width="75%" />
---
🤗 [HuggingFace](https://huggingface.co/lightx2v/Hy1.5-Quantized-Models) | [GitHub](https://github.com/ModelTC/LightX2V) | [License](https://opensource.org/licenses/Apache-2.0)
... | [] |
cais/HarmBench-Mistral-7b-val-cls | cais | 2024-03-17T22:43:44Z | 1,013 | 7 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:2402.04249",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-03-17T22:30:57Z | ### 📝 Overview:
This is the official validation classifier for behaviors in [HarmBench](https://arxiv.org/abs/2402.04249). This model support standard (text) behaviors, contextual behaviors, and multimodal behaviors.
📚 Example Notebook to use the classifier can be found [here](https://github.com/centerforaisafety/Ha... | [
{
"start": 77,
"end": 86,
"text": "HarmBench",
"label": "benchmark name",
"score": 0.9366180896759033
},
{
"start": 316,
"end": 325,
"text": "HarmBench",
"label": "benchmark name",
"score": 0.8467804193496704
}
] |
yueliu1999/GuardReasoner-VL-7B | yueliu1999 | 2025-07-25T13:25:26Z | 51,113 | 4 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"llama-factory",
"easy-r1",
"full",
"generated_from_trainer",
"conversational",
"en",
"zh",
"arxiv:2505.11049",
"arxiv:2501.18492",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-7B-Instruc... | image-text-to-text | 2025-05-17T00:49:44Z | # GuardReasoner-VL-Eco-7B
This model is a fine-tuned version of [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) via R-SFT and online RL.
This model is based on the paper [GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning](https://huggingface.co/papers/2505.11049).
<!-- The... | [] |
ibm-granite/granite-timeseries-ttm-r1 | ibm-granite | 2025-01-30T14:38:28Z | 52,134 | 323 | granite-tsfm | [
"granite-tsfm",
"safetensors",
"tinytimemixer",
"time series",
"forecasting",
"pretrained models",
"foundation models",
"time series foundation models",
"time-series",
"time-series-forecasting",
"arxiv:2401.03955",
"license:apache-2.0",
"region:us"
] | time-series-forecasting | 2024-04-05T03:20:10Z | # Granite-TimeSeries-TTM-R1 Model Card
<p align="center" width="100%">
<img src="ttm_image.webp" width="600">
</p>
TinyTimeMixers (TTMs) are compact pre-trained models for Multivariate Time-Series Forecasting, open-sourced by IBM Research.
**With less than 1 Million parameters, TTM (accepted in NeurIPS 24) introduce... | [] |
Amshaker/Mobile-O-0.5B-iOS | Amshaker | 2026-02-24T06:14:38Z | 506 | 13 | mlx | [
"mlx",
"coreml",
"safetensors",
"mobile-o",
"multimodal",
"unified-model",
"ios",
"on-device",
"mobile",
"edge-ai",
"image-text-to-text",
"arxiv:2602.20161",
"license:cc-by-nc-4.0",
"region:us"
] | image-text-to-text | 2026-02-14T15:04:58Z | <div align="center">
<h1>
<img src="https://github.com/Amshaker/Mobile-O/blob/main/assets/mobile-o-logo.png?raw=true" width="30" /> Mobile-O-0.5B-iOS
</h1>
**Optimized MLX & CoreML Components for On-Device Deployment**
<p>
<a href="https://arxiv.org/abs/2602.20161"><img src="https://img.shields.io/badge/arXiv-2602... | [] |
mradermacher/Llama-SEA-LION-v3-8B-IT-Magic_decensored-i1-GGUF | mradermacher | 2026-01-30T05:47:27Z | 493 | 2 | 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 | 2026-01-30T00:46:04Z | ## 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": 649,
"end": 697,
"text": "Llama-SEA-LION-v3-8B-IT-Magic_decensored-i1-GGUF",
"label": "benchmark name",
"score": 0.6905736327171326
},
{
"start": 771,
"end": 816,
"text": "Llama-SEA-LION-v3-8B-IT-Magic_decensored-GGUF",
"label": "benchmark name",
"score": 0.639... |
minchul/cvlface_adaface_ir50_ms1mv2 | minchul | 2025-07-17T16:23:43Z | 511 | 1 | transformers | [
"transformers",
"safetensors",
"feature-extraction",
"custom_code",
"en",
"arxiv:2204.00964",
"region:us"
] | feature-extraction | 2024-06-05T00:55:45Z | <div align="center">
<h1>
CVLFace Pretrained Model (ADAFACE IR50 MS1MV2)
</h1>
</div>
<p align="center">
🌎 <a href="https://github.com/mk-minchul/CVLface" target="_blank">GitHub</a> • 🤗 <a href="https://huggingface.co/minchul" target="_blank">Hugging Face</a>
</p>
-----
## 1. Introduction
Model Name: ADAF... | [] |
thirteenbit/madlad400-10b-mt-gguf | thirteenbit | 2024-07-06T16:37:55Z | 143 | 7 | null | [
"gguf",
"translation",
"base_model:google/madlad400-10b-mt",
"base_model:quantized:google/madlad400-10b-mt",
"license:apache-2.0",
"region:us"
] | translation | 2024-07-06T11:44:28Z | # MADLAD-400-10B-MT - GGUF
- Original model: [MADLAD-400-10B-MT](https://huggingface.co/google/madlad400-10b-mt)
## Description
This repo contains GGUF format model files for [MADLAD-400-10B-MT](https://huggingface.co/google/madlad400-10b-mt) for
use with [llama.cpp](https://github.com/ggerganov/llama.cpp) and compa... | [] |
arcinstitute/evo2_20b | arcinstitute | 2026-02-28T01:46:03Z | 116 | 5 | null | [
"biology",
"genomics",
"DNA",
"dataset:arcinstitute/opengenome2",
"license:apache-2.0",
"region:us"
] | null | 2026-02-06T22:36:52Z | <img src="https://cdn-uploads.huggingface.co/production/uploads/649aee789fc303937a045f6a/IGUfG31MMvDzhdjRK-nlJ.jpeg" width="70%" />
## Evo 2 20B, 1M context
Evo 2 is a state-of-the-art DNA language model trained autoregressively on trillions of DNA tokens.
For instructions, details, and examples, please refer to the... | [] |
openai-community/openai-gpt | openai-community | 2024-02-19T12:39:20Z | 186,436 | 291 | transformers | [
"transformers",
"pytorch",
"tf",
"rust",
"safetensors",
"openai-gpt",
"text-generation",
"en",
"arxiv:1705.11168",
"arxiv:1803.02324",
"arxiv:1910.09700",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:04Z | # OpenAI GPT 1
## Table of Contents
- [Model Details](#model-details)
- [How To Get Started With the Model](#how-to-get-started-with-the-model)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation](#evaluation)
- [Environmental Impact](#environmental-im... | [] |
facebook/wav2vec2-large-robust-ft-libri-960h | facebook | 2023-06-23T16:47:23Z | 79,331 | 16 | transformers | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"speech",
"audio",
"en",
"dataset:libri_light",
"dataset:common_voice",
"dataset:switchboard",
"dataset:fisher",
"dataset:librispeech_asr",
"arxiv:2104.01027",
"license:apache-2.0",
"eval-results",
... | automatic-speech-recognition | 2022-03-02T23:29:05Z | # Wav2Vec2-Large-Robust finetuned on Librispeech
[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/).
This model is a fine-tuned version of the [wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) model.
It has been pretrained on:
... | [] |
mradermacher/RC-Qwen2VL-7b-i1-GGUF | mradermacher | 2025-12-16T03:03:43Z | 137 | 2 | transformers | [
"transformers",
"gguf",
"multimodal",
"llm",
"personalized_multimodal_understanding",
"en",
"base_model:weihongliang/RC-Qwen2VL-7b",
"base_model:quantized:weihongliang/RC-Qwen2VL-7b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-19T04:11:31Z | ## 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_K... | [
{
"start": 617,
"end": 638,
"text": "RC-Qwen2VL-7b-i1-GGUF",
"label": "benchmark name",
"score": 0.6255189180374146
}
] |
bartowski/DeepSeek-R1-Distill-Llama-8B-GGUF | bartowski | 2025-01-22T15:19:31Z | 17,788 | 53 | null | [
"gguf",
"text-generation",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Llama-8B",
"base_model:quantized:deepseek-ai/DeepSeek-R1-Distill-Llama-8B",
"region:us"
] | text-generation | 2025-01-20T14:52:51Z | ## Llamacpp imatrix Quantizations of DeepSeek-R1-Distill-Llama-8B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4514">b4514</a> for quantization.
Original model: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8... | [] |
sarvamai/shuka-1 | sarvamai | 2025-03-14T15:56:31Z | 440 | 86 | transformers | [
"transformers",
"safetensors",
"shuka",
"feature-extraction",
"audio-text-to-text",
"custom_code",
"en",
"hi",
"license:llama3",
"region:us"
] | audio-text-to-text | 2024-08-08T21:45:22Z | `Shuka v1` is a language model which natively understands audio in Indic languages. It is an encoder-decoder model built by combining two models:
- Our state-of-the-art, in-house, audio encoder: Saaras v1
- Meta’s Llama3-8B-Instruct as the decoder
The encoder and decoder are connected by a small projector with ~60M pa... | [] |
nvidia/Riva-Translate-4B-Instruct-v1.1 | nvidia | 2026-01-14T20:36:20Z | 1,155 | 22 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"base_model:nvidia/Mistral-NeMo-12B-Base",
"base_model:finetune:nvidia/Mistral-NeMo-12B-Base",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-11-05T06:13:48Z | # Riva-Translate-4B-Instruct-v1.1
## Model Overview
We’re excited to share our latest work on the next version of [Riva-Translate-4B-Instruct](https://huggingface.co/nvidia/Riva-Translate-4B-Instruct)! The new release outperforms the initial version across multiple benchmarks, including FLORES, NTREX, and WMT24, and d... | [
{
"start": 289,
"end": 295,
"text": "FLORES",
"label": "benchmark name",
"score": 0.7219763994216919
},
{
"start": 297,
"end": 302,
"text": "NTREX",
"label": "benchmark name",
"score": 0.6861494183540344
},
{
"start": 308,
"end": 313,
"text": "WMT24",
... |
RedHatAI/granite-4.0-h-tiny-FP8-dynamic | RedHatAI | 2026-04-28T22:19:16Z | 287 | 3 | null | [
"safetensors",
"granitemoehybrid",
"fp8",
"quantized",
"llm-compressor",
"compressed-tensors",
"red hat",
"text-generation",
"conversational",
"base_model:ibm-granite/granite-4.0-h-tiny",
"base_model:quantized:ibm-granite/granite-4.0-h-tiny",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-01-19T00:59:50Z | <h1 align: center; style="display: flex; align-items: center; gap: 10px; margin: 0;">
Granite-4.0-h-tiny-FP8-dynamic
<img src="https://www.redhat.com/rhdc/managed-files/Catalog-Validated_model_0.png" alt="Model Icon" width="40" style="margin: 0; padding: 0;" />
</h1>
<a href="https://www.redhat.com/en/products/ai/v... | [] |
BAAI/Emu3-Gen | BAAI | 2024-10-23T10:12:41Z | 4,773 | 225 | transformers | [
"transformers",
"safetensors",
"Emu3",
"text-generation",
"any-to-any",
"custom_code",
"arxiv:2409.18869",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | any-to-any | 2024-09-25T11:03:49Z | <div align='center'>
<h1>Emu3: Next-Token Prediction is All You Need</h1h1>
<h3></h3>
[Emu3 Team, BAAI](https://www.baai.ac.cn/english.html)
| [Project Page](https://emu.baai.ac.cn) | [Paper](https://huggingface.co/papers/2409.18869) | [🤗HF Models](https://huggingface.co/collections/BAAI/emu3-66f4e64f70850ff358a2e60... | [] |
edp1096/Huihui-Qwen3.5-35B-A3B-abliterated-FP8 | edp1096 | 2026-03-02T05:27:08Z | 5,601 | 6 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"fp8",
"region:us"
] | image-text-to-text | 2026-03-02T05:12:27Z | # Qwen3.5-35B-A3B-FP8
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
[](https://chat.qwen.ai)
> [!Note]
> This repository contains FP8-quantized model weights and configuration files fo... | [
{
"start": 581,
"end": 600,
"text": "performance metrics",
"label": "evaluation metric",
"score": 0.6937904357910156
}
] |
playgroundai/playground-v2.5-1024px-aesthetic | playgroundai | 2024-03-15T00:00:20Z | 289,107 | 760 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"playground",
"arxiv:2206.00364",
"arxiv:2402.17245",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | 2024-02-16T18:46:17Z | # Playground v2.5 – 1024px Aesthetic Model
This repository contains a model that generates highly aesthetic images of resolution 1024x1024, as well as portrait and landscape aspect ratios. You can use the model with Hugging Face 🧨 Diffusers.
![image/png](https://cdn-uploads.huggingface.co/production/uploads/636c0c4e... | [] |
cerebras/GLM-4.7-REAP-268B-A32B-FP8 | cerebras | 2026-01-10T01:13:02Z | 336 | 7 | transformers | [
"transformers",
"safetensors",
"glm4_moe",
"text-generation",
"glm",
"MOE",
"pruning",
"compression",
"conversational",
"en",
"arxiv:2510.13999",
"base_model:zai-org/GLM-4.7-FP8",
"base_model:quantized:zai-org/GLM-4.7-FP8",
"license:mit",
"endpoints_compatible",
"compressed-tensors",
... | text-generation | 2026-01-10T01:10:44Z | <p align="center">
<em>𓌳 <strong>REAP</strong>𓌳 the Experts: Why Pruning Prevails for One-Shot MoE Compression</em><br>
<img src="https://i.imgur.com/rmzG3gg.png" alt="REAP" width="75%">
</p>
# GLM-4.7-REAP-268B-A32B-FP8
## ✨ Highlights
Introducing **GLM-4.7-REAP-268B-A32B-FP8**, a **memory-efficient compress... | [] |
facebook/pe-av-small | facebook | 2026-01-29T14:15:42Z | 484 | 19 | null | [
"safetensors",
"pe_audio_video",
"arxiv:2512.19687",
"license:apache-2.0",
"region:us"
] | null | 2025-10-02T17:15:02Z | # Perception Encoder Audio-Visual (PE-AV)
PE-AV is a state-of-the-art multimodal model that embeds audio, video, audio-video, and text into a joint embedding space. The model enables powerful cross-modal retrieval and understanding across audio, video, and text modalities.
## Model Description
PE-AV is trained using... | [] |
mradermacher/XORTRON.CriminalComputing.2026.27B.Instruct-i1-GGUF | mradermacher | 2026-03-07T10:16:50Z | 9,413 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:darkc0de/XORTRON.CriminalComputing.2026.27B.Instruct",
"base_model:quantized:darkc0de/XORTRON.CriminalComputing.2026.27B.Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imat... | null | 2026-03-07T07:11:57Z | ## 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_... | [] |
arsovskidev/Gemma-4-E4B-Claude-4.6-Opus-Reasoning-Distilled | arsovskidev | 2026-04-07T15:40:36Z | 814 | 1 | transformers | [
"transformers",
"safetensors",
"gguf",
"gemma4",
"image-text-to-text",
"unsloth",
"reasoning",
"chain-of-thought",
"distillation",
"conversational",
"opus",
"en",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"base_model:google/gemma-4-E4B-it",
"base_model:quantized:google/gemma-4... | image-text-to-text | 2026-04-06T19:20:16Z | # Gemma-4-E4B-Claude-4.6-Opus-Reasoning-Distilled
Fine-tune of **Gemma 4 E4B** trained on Claude 4.6 Opus reasoning traces.
The goal: take a compact 4B model and teach it to actually think before answering.
## 💡 What this is
Standard Gemma 4 E4B is already solid. This fine-tune pushes it toward a more
deliberate, s... | [] |
mradermacher/qwen3-14b-code-reasoning-conversational-GGUF | mradermacher | 2026-04-17T04:36:38Z | 454 | 2 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3",
"en",
"base_model:YeonwooSung/qwen3-14b-code-reasoning-conversational",
"base_model:quantized:YeonwooSung/qwen3-14b-code-reasoning-conversational",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversationa... | null | 2025-07-23T06:43:50Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/YeonwooSung/qwen3-14b-code-reasoning-conversational
<!-- provided-files -->
***For a convenient overview and download l... | [] |
bartowski/inclusionAI_Ling-flash-2.0-GGUF | bartowski | 2025-10-21T17:29:03Z | 378 | 6 | null | [
"gguf",
"text-generation",
"base_model:inclusionAI/Ling-flash-2.0",
"base_model:quantized:inclusionAI/Ling-flash-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-10-20T20:23:38Z | ## Llamacpp imatrix Quantizations of Ling-flash-2.0 by inclusionAI
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b6810">b6810</a> for quantization.
Original model: https://huggingface.co/inclusionAI/Ling-flash-2.0
All quants m... | [] |
nvidia/GR00T-N1.7-3B | nvidia | 2026-04-23T19:09:30Z | 7,304 | 12 | null | [
"safetensors",
"Gr00tN1d7",
"robotics",
"arxiv:2503.14734",
"region:us"
] | robotics | 2026-02-25T00:39:18Z | <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... | [] |
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