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 |
|---|---|---|---|---|---|---|---|---|---|---|
amd/CodeLlama-7b-Instruct-hf-onnx-ryzenai-npu | amd | 2025-10-23T15:21:21Z | 115 | 1 | null | [
"onnx",
"base_model:meta-llama/CodeLlama-7b-Instruct-hf",
"base_model:quantized:meta-llama/CodeLlama-7b-Instruct-hf",
"license:llama2",
"region:us"
] | null | 2025-09-28T20:59:50Z | # CodeLlama-7b-instruct-hf-onnx-ryzenai-npu
- ## Introduction
This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment.
- ## Quantization Strategy
- AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights
- ## Quick Start
For qu... | [
{
"start": 424,
"end": 441,
"text": "Evaluation scores",
"label": "evaluation metric",
"score": 0.613299548625946
}
] |
projecte-aina/alvocat-vocos-22khz | projecte-aina | 2026-04-14T15:58:07Z | 6,891 | 5 | null | [
"pytorch",
"onnx",
"vocoder",
"vocos",
"tts",
"dataset:projecte-aina/festcat_trimmed_denoised",
"dataset:projecte-aina/openslr-slr69-ca-trimmed-denoised",
"dataset:projecte-aina/LaFrescat",
"arxiv:2306.00814",
"license:cc",
"region:us"
] | null | 2024-03-25T15:30:21Z | # 🥑 alVoCat
<!-- Provide a quick summary of what the model is/does. -->
🥑 alVoCat is a vocoder for Catalan TTS, based on Vocos architecture. It is highly performant and
high quality, works together with [🍵 Matxa](https://huggingface.co/BSC-LT/matcha-tts-cat-multiaccent)
and you can find our fork [here](https://git... | [] |
apple/MobileCLIP-S2-OpenCLIP | apple | 2025-02-28T18:39:24Z | 43,234 | 19 | open_clip | [
"open_clip",
"safetensors",
"clip",
"zero-shot-image-classification",
"arxiv:2311.17049",
"arxiv:2103.00020",
"arxiv:2303.15343",
"arxiv:2309.17425",
"license:apple-amlr",
"region:us"
] | zero-shot-image-classification | 2024-06-07T14:48:32Z | # MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
MobileCLIP was introduced in [MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
](https://arxiv.org/pdf/2311.17049.pdf) (CVPR 2024), by Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli... | [] |
ReXeeD/Luminus-1.5B-Roleplay | ReXeeD | 2026-04-29T23:13:24Z | 361 | 1 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"roleplay",
"chat",
"unsloth",
"dpo",
"qwen",
"llama-cpp",
"en",
"base_model:Qwen/Qwen2.5-1.5B",
"base_model:finetune:Qwen/Qwen2.5-1.5B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
... | text-generation | 2026-04-15T17:31:58Z | # Luminus-1.5B-128K: Advanced Small-Parameter Roleplay Model
Luminus-1.5B-128K is a highly optimized 1.5B parameter model designed to deliver the immersive roleplay quality, character consistency, and long-context understanding typically found in larger 3B–4B models.
By layering advanced research-backed techniques l... | [
{
"start": 2,
"end": 19,
"text": "Luminus-1.5B-128K",
"label": "benchmark name",
"score": 0.6955206394195557
},
{
"start": 62,
"end": 79,
"text": "Luminus-1.5B-128K",
"label": "benchmark name",
"score": 0.6272386312484741
},
{
"start": 1463,
"end": 1475,
"... |
mradermacher/Llama-3.3-8B-Instruct-128K-heretic-i1-GGUF | mradermacher | 2026-01-09T06:40:12Z | 168 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:aeon37/Llama-3.3-8B-Instruct-128K-heretic",
"base_model:quantized:aeon37/Llama-3.3-8B-Instruct-128K-heretic",
"license:llama3.3",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"... | null | 2026-01-09T04:32:15Z | ## 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/Qwen3-30B-A3B-Instruct-2507-FT-i1-GGUF | mradermacher | 2026-01-25T04:00:06Z | 313 | 1 | transformers | [
"transformers",
"gguf",
"qwen",
"qwen3",
"unsloth",
"Fragmented Training",
"FT",
"chat",
"lora",
"QiMing-Janus",
"zh",
"en",
"base_model:aifeifei798/Qwen3-30B-A3B-Instruct-2507-FT",
"base_model:adapter:aifeifei798/Qwen3-30B-A3B-Instruct-2507-FT",
"license:apache-2.0",
"endpoints_compat... | null | 2026-01-24T23:18:41Z | ## 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_... | [] |
ByteDance-Seed/BAGEL-7B-MoT | ByteDance-Seed | 2026-01-09T09:27:26Z | 7,859 | 1,183 | bagel-mot | [
"bagel-mot",
"safetensors",
"bagel",
"any-to-any",
"arxiv:2505.14683",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Instruct",
"license:apache-2.0",
"region:us"
] | any-to-any | 2025-05-19T23:27:50Z | <p align="left">
<img src="https://lf3-static.bytednsdoc.com/obj/eden-cn/nuhojubrps/banner.png" alt="BAGEL" width="480"/>
</p>
# 🥯 BAGEL • Unified Model for Multimodal Understanding and Generation
<p align="left">
<a href="https://bagel-ai.org/">
<img
src="https://img.shields.io/badge/BAGEL-Website-... | [] |
mistralai/Ministral-3-14B-Instruct-2512 | mistralai | 2026-01-15T11:14:12Z | 132,502 | 268 | vllm | [
"vllm",
"safetensors",
"mistral3",
"mistral-common",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"arxiv:2601.08584",
"base_model:mistralai/Ministral-3-14B-Base-2512",
"base_model:quantized:mistralai/Ministral-3-14B-Base-2512",
"license:apache-2.0",
"fp8",
... | null | 2025-10-31T08:43:24Z | # Ministral 3 14B Instruct 2512
The largest model in the Ministral 3 family, **Ministral 3 14B** offers frontier capabilities and performance comparable to its larger [Mistral Small 3.2 24B](https://huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506) counterpart. A powerful and efficient language model with v... | [] |
tencent/HunyuanImage-2.1 | tencent | 2025-10-14T06:39:11Z | 250 | 380 | HunyuanImage-2.1 | [
"HunyuanImage-2.1",
"safetensors",
"text-to-image",
"en",
"zh",
"arxiv:2509.04545",
"license:other",
"region:us"
] | text-to-image | 2025-09-05T07:38:33Z | [中文阅读](./README_CN.md)
<p align="center">
<img src="./assets/logo.png" height=100>
</p>
<div align="center">
# HunyuanImage-2.1: An Efficient Diffusion Model for High-Resolution (2K) Text-to-Image Generation
</div>
<div align="center">
<a href=https://github.com/Tencent-Hunyuan/HunyuanImage-2.1 target="_blan... | [] |
jasperai/Flux.1-dev-Controlnet-Surface-Normals | jasperai | 2024-09-30T08:39:52Z | 341 | 98 | diffusers | [
"diffusers",
"safetensors",
"ControlNet",
"image-to-image",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:finetune:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | image-to-image | 2024-09-23T13:00:04Z | # ⚡ Flux.1-dev: Surface Normals ControlNet ⚡
This is [Flux.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) ControlNet for Surface Normals map developed by Jasper research team.
<p align="center">
<img style="width:700px;" src="examples/showcase.jpg">
</p>
# How to use
This model can be used directly w... | [] |
gaborcselle/font-identifier | gaborcselle | 2023-11-17T06:48:58Z | 800 | 23 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"resnet",
"image-classification",
"generated_from_trainer",
"en",
"dataset:gaborcselle/font-examples",
"base_model:microsoft/resnet-18",
"base_model:finetune:microsoft/resnet-18",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us... | image-classification | 2023-11-08T23:59:41Z | # font-identifier
This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
Result: Loss: 0.1172; Accuracy: 0.9633
Try with any screenshot of a font, or any of the examples in [the 'samples' subfolder of this repo](https://huggingface.co/gaborc... | [
{
"start": 68,
"end": 77,
"text": "resnet-18",
"label": "benchmark name",
"score": 0.7007802128791809
},
{
"start": 112,
"end": 121,
"text": "resnet-18",
"label": "benchmark name",
"score": 0.6171391010284424
},
{
"start": 1522,
"end": 1530,
"text": "Accur... |
nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4 | nvidia | 2026-03-15T04:27:10Z | 608,965 | 126 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"nvidia",
"pytorch",
"conversational",
"custom_code",
"en",
"es",
"fr",
"de",
"ja",
"it",
"dataset:nvidia/Nemotron-Pretraining-Code-v1",
"dataset:nvidia/Nemotron-CC-v2",
"dataset:nvidia/Nemotron-Pretraining-SFT-v1",
"d... | text-generation | 2025-12-20T09:12:40Z | # NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4
<div align="center" style="line-height: 1;">
<a href="https://build.nvidia.com/nvidia/nemotron-3-nano-30b-a3b" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/🤖Chat-Nemotron_3_Nano-536af5?color=76B900&logoColor=white" style="display: i... | [] |
mradermacher/Youtu-VL-4B-Instruct-i1-GGUF | mradermacher | 2026-01-29T15:02:19Z | 232 | 4 | transformers | [
"transformers",
"gguf",
"en",
"base_model:tencent/Youtu-VL-4B-Instruct",
"base_model:quantized:tencent/Youtu-VL-4B-Instruct",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-29T14:22:40Z | ## 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_... | [] |
kurakurai/Luth-0.6B-Instruct | kurakurai | 2025-10-12T19:46:40Z | 391 | 9 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"fr",
"en",
"dataset:kurakurai/luth-sft",
"arxiv:2510.05846",
"base_model:Qwen/Qwen3-0.6B",
"base_model:finetune:Qwen/Qwen3-0.6B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"regi... | text-generation | 2025-08-06T08:32:44Z | 
# Luth-0.6B-Instruct
**Luth-0.6B-Instruct** is a French fine-tuned version of [Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B), trained on the [Luth-SFT](https://huggingface.co/datasets/kurakurai/luth-sft) dataset. The model has drastically improved its French capabil... | [
{
"start": 127,
"end": 137,
"text": "Qwen3-0.6B",
"label": "benchmark name",
"score": 0.6790620684623718
},
{
"start": 196,
"end": 204,
"text": "Luth-SFT",
"label": "benchmark name",
"score": 0.6074893474578857
},
{
"start": 1359,
"end": 1372,
"text": "Arc... |
aisingapore/Gemma-SEA-Guard-12B-2602 | aisingapore | 2026-02-06T01:24:35Z | 296 | 2 | null | [
"safetensors",
"gemma3",
"image-text-to-text",
"conversational",
"my",
"en",
"id",
"ms",
"tl",
"ta",
"th",
"vi",
"arxiv:2602.01618",
"arxiv:2512.05501",
"base_model:google/gemma-3-12b-it",
"base_model:finetune:google/gemma-3-12b-it",
"license:gemma",
"region:us"
] | image-text-to-text | 2025-12-04T12:28:22Z | 
# Model Card for Gemma-SEA-Guard-12B-2602
<!-- Provide a quick summary of what the model is/does. -->
Last updated: 2026-02-04
**SEA-Guard** is a collection of safety-focused Large Language Models (LLMs) designed specifically for the Southeast Asia (SEA) region.
While the col... | [] |
nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16 | nvidia | 2026-04-29T16:15:40Z | 662,337 | 342 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"nvidia",
"pytorch",
"nemotron-3",
"latent-moe",
"mtp",
"conversational",
"custom_code",
"en",
"fr",
"es",
"it",
"de",
"ja",
"zh",
"dataset:nvidia/nemotron-post-training-v3",
"dataset:nvidia/nemotron-pre-training-d... | text-generation | 2026-03-10T18:32:14Z | # NVIDIA-Nemotron-3-Super-120B-A12B-BF16
<div align="center" style="line-height: 1;">
<a href="https://build.nvidia.com/nvidia/nemotron-3-super-120b-a12b" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/🤖Chat-Nemotron_3_Super-536af5?color=76B900&logoColor=white" style="disp... | [] |
Intel/neural-chat-7b-v3-3 | Intel | 2024-11-11T05:17:37Z | 8,101 | 81 | transformers | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"LLMs",
"math",
"Intel",
"conversational",
"arxiv:2309.12284",
"base_model:Intel/neural-chat-7b-v3-1",
"base_model:finetune:Intel/neural-chat-7b-v3-1",
"license:apache-2.0",
"model-index",
"text-generation-inference"... | text-generation | 2023-12-09T16:25:05Z | ## Model Details: Neural-Chat-v3-3
This model is a fine-tuned 7B parameter LLM on the Intel Gaudi 2 processor from the [Intel/neural-chat-7b-v3-1](https://huggingface.co/Intel/neural-chat-7b-v3-1) on the [meta-math/MetaMathQA](https://huggingface.co/datasets/meta-math/MetaMathQA) dataset. The model was aligned using t... | [] |
facebook/sapiens | facebook | 2024-09-20T01:40:02Z | 101 | 245 | sapiens | [
"sapiens",
"en",
"arxiv:2408.12569",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-08-22T21:45:37Z | # Model Details
<!-- Provide a quick summary of what the model is/does. -->
Sapiens, a family of models for four fundamental human-centric vision tasks - 2D pose estimation, body-part segmentation, depth estimation, and surface normal prediction.
Our models natively support 1K high-resolution inference and are extre... | [
{
"start": 1037,
"end": 1044,
"text": "sapiens",
"label": "benchmark name",
"score": 0.6041801571846008
}
] |
Snowflake/Arctic-AWM-4B | Snowflake | 2026-02-11T02:43:34Z | 112 | 7 | null | [
"safetensors",
"qwen3",
"agent",
"tool-use",
"reinforcement-learning",
"mcp",
"en",
"arxiv:2602.10090",
"base_model:Qwen/Qwen3-4B",
"base_model:finetune:Qwen/Qwen3-4B",
"license:apache-2.0",
"region:us"
] | reinforcement-learning | 2026-02-08T19:23:10Z | <h1 align="center">Arctic-AWM-4B</h1>
<h3 align="center">Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning</h3>
<p align="center">
<a href="https://github.com/Raibows">Zhaoyang Wang<sup>1</sup></a>,
<a href="https://www.canwenxu.net/">Canwen Xu<sup>2</sup></a>,
<a href="https... | [] |
prithivMLmods/Qwen3-VL-32B-Instruct-Unredacted-MAX-FP8 | prithivMLmods | 2026-02-19T15:23:33Z | 268 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"vllm",
"pytorch",
"fp8",
"f8_e4m3",
"max",
"agent",
"conversational",
"en",
"base_model:prithivMLmods/Qwen3-VL-32B-Instruct-ablite... | image-text-to-text | 2026-02-18T16:51:22Z | 
# **Qwen3-VL-32B-Instruct-Unredacted-MAX-FP8**
> **Qwen3-VL-32B-Instruct-Unredacted-MAX-FP8** is an FP8-compressed evolution built on top of **prithivMLmods/Qwen3-VL-32B-Instruct-abliterated-v1**. This varia... | [] |
unsloth/Qwen-Image-2512-unsloth-bnb-4bit | unsloth | 2026-01-16T16:22:33Z | 1,031 | 13 | diffusers | [
"diffusers",
"safetensors",
"gguf",
"quantized",
"unsloth",
"qwen",
"text-to-image",
"en",
"zh",
"arxiv:2508.02324",
"base_model:Qwen/Qwen-Image-2512",
"base_model:finetune:Qwen/Qwen-Image-2512",
"license:apache-2.0",
"diffusers:QwenImagePipeline",
"region:us"
] | text-to-image | 2026-01-06T21:55:40Z | # Read our How to [Run Qwen-Image-2512 Guide!](https://unsloth.ai/docs/models/qwen-image-2512) 💜
This is a BitsandBytes quantized version of [Qwen-Image-2512](https://huggingface.co/Qwen/Qwen-Image-2512), and can be run in `diffusers`. <br>
unsloth/Qwen-Image-2512-unsloth-bnb-4bit uses [Unsloth Dynamic 2.0](https://d... | [] |
maitrix-org/Voila-Tokenizer | maitrix-org | 2025-05-06T14:51:20Z | 223 | 7 | transformers | [
"transformers",
"safetensors",
"encodec",
"feature-extraction",
"audio-to-audio",
"en",
"zh",
"fr",
"de",
"ja",
"ko",
"dataset:maitrix-org/Voila-Benchmark",
"dataset:maitrix-org/Voila-million-voice",
"arxiv:2505.02707",
"license:mit",
"endpoints_compatible",
"region:us"
] | audio-to-audio | 2025-02-26T07:40:16Z | <p align="center">
<img src="https://voila.maitrix.org/static/images/logo.png" width="400"/><br/>
<b>Voila: <span style="color:#ca00f9">Voi</span>ce-<span style="color:#ca00f9">La</span>nguage Foundation Models</b><br/><br/>
💜 <a href="https://voila.maitrix.org"><b>Project Page</b></a>    ｜  &n... | [] |
dazipe/Qwen3-Next-80B-A3B-Instruct-GPTQ-Int4A16 | dazipe | 2025-10-29T13:25:55Z | 2,631 | 5 | null | [
"safetensors",
"qwen3_next",
"base_model:Qwen/Qwen3-Next-80B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-Next-80B-A3B-Instruct",
"compressed-tensors",
"region:us"
] | null | 2025-10-29T12:46:07Z | # Model Card for Qwen3-Next-80B-A3B-Instruct-GPTQ-Int4
This repository contains a 4-bit integer (INT4) quantized version of the Qwen/Qwen3-Next-80B-A3B-Instruct model, optimized using the GPTQ method.
The primary goal of this quantization is to enable high-performance inference on AMD Instinct MI100 GPUs and potenti... | [
{
"start": 921,
"end": 929,
"text": "MMLU Pro",
"label": "benchmark name",
"score": 0.940571129322052
},
{
"start": 1149,
"end": 1163,
"text": "MMLU Pro Score",
"label": "evaluation metric",
"score": 0.8707290291786194
},
{
"start": 1463,
"end": 1471,
"tex... |
PhysicsWallahAI/Aryabhata-1.0 | PhysicsWallahAI | 2025-08-13T05:52:48Z | 168 | 110 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"small-language-model",
"jee",
"exam-centric",
"indian-education",
"reinforcement-learning",
"supervised-finetuning",
"model-merging",
"rejection-sampling",
"mathematics",
"ai4education",
"physicswallah",
"conversational",
"e... | text-generation | 2025-07-18T07:40:10Z | # Aryabhatta 1.0 : An exam-focused language model for JEE Math
## Overview
**Aryabhata 1.0** is a 7B parameter small language model for mathematics developed by **Physics Wallah AI Research**, optimized for high-stakes Indian competitive exams like **JEE Mains**. Despite its compact size, Aryabhat... | [
{
"start": 2,
"end": 16,
"text": "Aryabhatta 1.0",
"label": "benchmark name",
"score": 0.923730194568634
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{
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"text": "Aryabhata 1.0",
"label": "benchmark name",
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{
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"text": "7B... |
geoffmunn/Qwen3-32B-f16 | geoffmunn | 2026-03-13T08:37:45Z | 13,338 | 2 | null | [
"gguf",
"qwen",
"qwen3",
"qwen3-32b",
"qwen3-32b-gguf",
"llama.cpp",
"quantized",
"text-generation",
"reasoning",
"agent",
"multilingual",
"imatrix",
"q3_hifi",
"q4_hifi",
"q5_hifi",
"en",
"zh",
"es",
"fr",
"de",
"ru",
"ar",
"ja",
"ko",
"hi",
"base_model:Qwen/Qwen3-... | text-generation | 2025-10-12T08:31:09Z | # Qwen3-32B-f16-GGUF
This is a **GGUF-quantized version** of the **[Qwen/Qwen3-32B](https://huggingface.co/Qwen/Qwen3-32B)** language model — a **32-billion-parameter** LLM with state-of-the-art reasoning, research capabilities, and enterprise-grade performance. Converted for use with `llama.cpp`, [LM Studio](https://... | [] |
mradermacher/Llama-3.3-8B-Instruct-128K-GGUF | mradermacher | 2025-12-31T15:32:19Z | 198 | 5 | transformers | [
"transformers",
"gguf",
"en",
"base_model:shb777/Llama-3.3-8B-Instruct-128K",
"base_model:quantized:shb777/Llama-3.3-8B-Instruct-128K",
"license:llama3.3",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-31T14:59:30Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
FastFlowLM/LFM2.5-1.2B-NPU2 | FastFlowLM | 2026-01-16T16:34:59Z | 106 | 3 | transformers | [
"transformers",
"lfm2",
"text-generation",
"liquid",
"lfm2.5",
"edge",
"conversational",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"arxiv:2511.23404",
"base_model:LiquidAI/LFM2.5-1.2B-Base",
"base_model:finetune:LiquidAI/LFM2.5-1.2B-Base",
"license:other",
"endpoints_comp... | text-generation | 2026-01-06T17:50:43Z | <div align="center">
<img
src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png"
alt="Liquid AI"
style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
/>
<div style="display: flex; ... | [] |
5CD-AI/Vintern-Embedding-1B | 5CD-AI | 2025-09-14T12:43:13Z | 141 | 16 | transformers | [
"transformers",
"safetensors",
"internvl_chat",
"feature-extraction",
"visual-document-retrieval",
"custom_code",
"vi",
"en",
"zh",
"base_model:5CD-AI/Vintern-1B-v3_5",
"base_model:finetune:5CD-AI/Vintern-1B-v3_5",
"region:us"
] | visual-document-retrieval | 2025-08-26T19:11:59Z | 
## Model Details
**Vintern-Embedding-1B** is the next-generation embedding model built on top of the base [Vintern-1B-v3\_5](https://huggingface.co/5CD-AI/Vintern-1B-v3_5). It was trained on over ... | [
{
"start": 1074,
"end": 1078,
"text": "Mean",
"label": "evaluation metric",
"score": 0.736712634563446
},
{
"start": 1276,
"end": 1280,
"text": "Mean",
"label": "evaluation metric",
"score": 0.7815989851951599
},
{
"start": 1407,
"end": 1452,
"text": "ViDo... |
bartowski/Gryphe_Pantheon-Proto-RP-1.8-30B-A3B-GGUF | bartowski | 2025-05-09T19:45:57Z | 2,230 | 10 | null | [
"gguf",
"instruct",
"finetune",
"chatml",
"axolotl",
"roleplay",
"text-generation",
"en",
"base_model:Gryphe/Pantheon-Proto-RP-1.8-30B-A3B",
"base_model:quantized:Gryphe/Pantheon-Proto-RP-1.8-30B-A3B",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-05-09T16:54:55Z | ## Llamacpp imatrix Quantizations of Pantheon-Proto-RP-1.8-30B-A3B by Gryphe
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b5328">b5328</a> for quantization.
Original model: https://huggingface.co/Gryphe/Pantheon-Proto-RP-1.8... | [] |
danielmnd/gemma-3-27b-it-abliterated-normpreserve-GGUF | danielmnd | 2026-03-05T20:58:33Z | 1,221 | 1 | null | [
"gguf",
"text-generation",
"base_model:YanLabs/gemma-3-27b-it-abliterated-normpreserve",
"base_model:quantized:YanLabs/gemma-3-27b-it-abliterated-normpreserve",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-03-05T20:58:33Z | GGUF of YanLabs/gemma3-27b-it-abliterated-normpreserve
# Gemma 3 27B Instruct - Norm-Preserving Abliterated
UPDATED ON 03-12-2025 FOR QUALITY IMPROVEMENT.
This is an abliterated version of [google/gemma-3-27b-it](https://huggingface.co/google/gemma-3-27b-it) using the norm-preserving biprojected abliteration techniq... | [] |
mistralai/Mixtral-8x22B-v0.1 | mistralai | 2025-07-24T16:41:30Z | 4,197 | 237 | vllm | [
"vllm",
"safetensors",
"mixtral",
"moe",
"mistral-common",
"fr",
"it",
"de",
"es",
"en",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T18:58:08Z | # Model Card for Mixtral-8x22B
The Mixtral-8x22B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
For full details of this model please read our [release blog post](https://mistral.ai/news/mixtral-8x22b).
## Warning
This repo contains weights that are compatible with [vLLM](https://git... | [] |
amd/Kimi-K2.5-MXFP4 | amd | 2026-04-01T15:57:38Z | 28,129 | 2 | null | [
"safetensors",
"kimi_k25",
"custom_code",
"base_model:moonshotai/Kimi-K2.5",
"base_model:quantized:moonshotai/Kimi-K2.5",
"license:other",
"8-bit",
"quark",
"region:us"
] | null | 2026-01-28T11:32:23Z | # Model Overview
- **Model Architecture:** Kimi-K2.5
- **Input:** Text
- **Output:** Text
- **Supported Hardware Microarchitecture:** AMD MI350/MI355
- **ROCm:** 7.1.0
- **Operating System(s):** Linux
- **Inference Engine:** [vLLM](https://docs.vllm.ai/en/latest/)
- **Model Optimizer:** [AMD-Quark](https://quark.d... | [] |
MeiGen-AI/PosterOmni_v1 | MeiGen-AI | 2026-02-22T12:12:28Z | 495 | 8 | diffusers | [
"diffusers",
"safetensors",
"QwenImageEditPlusPipeline",
"image-to-image",
"en",
"zh",
"arxiv:2602.12127",
"arxiv:2506.10741",
"license:apache-2.0",
"region:us"
] | image-to-image | 2026-02-14T09:09:55Z | <div align="center">
<h1>[CVPR 2026] 🎨 PosterOmni<br/>Generalized Artistic Poster Creation via Task Distillation and Unified Reward Feedback</h1>
<img src="images/logo_white.png" alt="PosterOmni Logo" width="180"/>
[](https://arxiv.org/abs/2602.12127)
[![Gi... | [] |
xiaomi-research/MiLMMT-46-1B-v0.1 | xiaomi-research | 2026-02-13T02:35:48Z | 1,126 | 4 | transformers | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"translation",
"arxiv:2602.11961",
"base_model:xiaomi-research/MiLMMT-46-1B-Pretrain",
"base_model:finetune:xiaomi-research/MiLMMT-46-1B-Pretrain",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"region:us"... | translation | 2026-01-29T07:46:39Z | ## Model Description
MiLMMT-46-1B-v0.1 is an LLM-based translation model. It has been fintuned on MiLMMT-46-1B-Pretrain, which is a language model developed through continual pretraining of Gemma3-1B using a mix of 143 billion tokens from both monolingual and parallel data across 46 different languages. Please find mo... | [] |
mradermacher/Pixtral-12B-2409-StarFlow-GGUF | mradermacher | 2025-09-20T08:37:11Z | 245 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:ServiceNow/BigDocs-Sketch2Flow",
"base_model:ServiceNow/Pixtral-12B-2409-StarFlow",
"base_model:quantized:ServiceNow/Pixtral-12B-2409-StarFlow",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-20T07:56:03Z | ## 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": 525,
"end": 555,
"text": "Pixtral-12B-2409-StarFlow-GGUF",
"label": "benchmark name",
"score": 0.6306098699569702
}
] |
prithivMLmods/FireRed-Image-Edit-1.0-8bit | prithivMLmods | 2026-02-21T13:10:40Z | 413 | 4 | diffusers | [
"diffusers",
"safetensors",
"art",
"8bit",
"image-to-image",
"en",
"base_model:FireRedTeam/FireRed-Image-Edit-1.0",
"base_model:finetune:FireRedTeam/FireRed-Image-Edit-1.0",
"license:apache-2.0",
"diffusers:QwenImageEditPlusPipeline",
"region:us"
] | image-to-image | 2026-02-21T06:32:14Z | # **FireRed-Image-Edit-1.0-8bit**
> FireRed-Image-Edit-1.0-8bit is an 8-bit quantized edition of FireRed-Image-Edit-1.0 (FireRedTeam), engineered to deliver the same instruction-driven diffusion transformer image editing capabilities with significantly reduced memory footprint and improved inference efficiency. Built ... | [] |
google/ddpm-ema-cat-256 | google | 2022-11-08T13:42:16Z | 202 | 5 | diffusers | [
"diffusers",
"pytorch",
"unconditional-image-generation",
"arxiv:2006.11239",
"license:apache-2.0",
"diffusers:DDPMPipeline",
"region:us"
] | unconditional-image-generation | 2022-07-19T10:45:53Z | # Denoising Diffusion Probabilistic Models (DDPM)
**Paper**: [Denoising Diffusion Probabilistic Models](https://arxiv.org/abs/2006.11239)
**Authors**: Jonathan Ho, Ajay Jain, Pieter Abbeel
**Abstract**:
*We present high quality image synthesis results using diffusion probabilistic models, a class of latent variable... | [
{
"start": 793,
"end": 808,
"text": "Inception score",
"label": "evaluation metric",
"score": 0.8890145421028137
},
{
"start": 840,
"end": 849,
"text": "FID score",
"label": "evaluation metric",
"score": 0.8739084005355835
}
] |
charleslwang/parakeet-tdt-0.6b-HD | charleslwang | 2026-04-28T06:26:39Z | 100 | 1 | nemo | [
"nemo",
"onnx",
"automatic-speech-recognition",
"speech",
"pathological-speech",
"dysarthria",
"huntingtons-disease",
"parakeet",
"en",
"arxiv:2603.11168",
"base_model:nvidia/parakeet-tdt-0.6b-v2",
"base_model:quantized:nvidia/parakeet-tdt-0.6b-v2",
"license:apache-2.0",
"model-index",
"... | automatic-speech-recognition | 2026-03-03T19:15:48Z | # Parakeet-TDT 0.6B HD
Official checkpoint for the paper **"Huntington Disease Automatic Speech Recognition with Biomarker Supervision."**
## Model description
This model is an HD-adapted version of **NVIDIA Parakeet-TDT 0.6B v2**, tuned for automatic speech recognition on speech affected by **Huntington disease (HD... | [
{
"start": 932,
"end": 935,
"text": "WER",
"label": "evaluation metric",
"score": 0.8521393537521362
},
{
"start": 939,
"end": 943,
"text": "4.95",
"label": "evaluation metric",
"score": 0.7709840536117554
}
] |
mradermacher/Numera-v1-GGUF | mradermacher | 2026-01-30T07:46:50Z | 322 | 1 | transformers | [
"transformers",
"gguf",
"generated",
"numerical-generation",
"weight-space",
"text-generation",
"en",
"base_model:luigicfilho/Numera-v1",
"base_model:quantized:luigicfilho/Numera-v1",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-30T07:45:59Z | ## 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": 510,
"end": 524,
"text": "Numera-v1-GGUF",
"label": "benchmark name",
"score": 0.7767434120178223
},
{
"start": 1220,
"end": 1234,
"text": "Numera-v1-GGUF",
"label": "benchmark name",
"score": 0.7112261652946472
},
{
"start": 1248,
"end": 1257,
... |
zai-org/GLM-4-9B-0414 | zai-org | 2025-04-14T15:40:17Z | 18,703 | 101 | transformers | [
"transformers",
"safetensors",
"glm4",
"text-generation",
"conversational",
"zh",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-04-07T11:57:02Z | # GLM-4-9B-0414
## Introduction
The GLM family welcomes new members, the **GLM-4-32B-0414** series models, featuring 32 billion parameters. Its performance is comparable to OpenAI’s GPT series and DeepSeek’s V3/R1 series. It also supports very user-friendly local deployment features. GLM-4-32B-Base-0414 was pre-train... | [
{
"start": 1130,
"end": 1136,
"text": "GPT-4o",
"label": "benchmark name",
"score": 0.6042972803115845
},
{
"start": 1141,
"end": 1157,
"text": "DeepSeek-V3-0324",
"label": "benchmark name",
"score": 0.6083558797836304
}
] |
unsloth/cogito-671b-v2.1-GGUF | unsloth | 2025-11-19T13:45:21Z | 153 | 2 | transformers | [
"transformers",
"gguf",
"unsloth",
"base_model:deepcogito/cogito-671b-v2.1",
"base_model:quantized:deepcogito/cogito-671b-v2.1",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-17T12:02:27Z | > [!NOTE]
> Includes Unsloth **chat template fixes**! <br> For `llama.cpp`, use `--jinja`
>
> [!WARNING]
> See https://docs.unsloth.ai/models/tutorials-how-to-fine-tune-and-run-llms/cogito-v2-how-to-run-locally <br> for how to run Cogito v2.1 671B locally via llama.cpp!
>
<div>
<p style="margin-top: 0;margin-botto... | [] |
mradermacher/LFM2.5-1.2B-Saiga-It-v2-GGUF | mradermacher | 2026-03-12T08:46:56Z | 295 | 1 | transformers | [
"transformers",
"gguf",
"russian",
"saiga",
"continued-pretraining",
"sft",
"lfm",
"liquid-ai",
"ru",
"en",
"dataset:IlyaGusev/saiga_scored",
"dataset:d0rj/alpaca-cleaned-ru",
"dataset:IlyaGusev/ru_sharegpt_cleaned",
"dataset:IlyaGusev/ru_turbo_saiga",
"dataset:lksy/ru_instruct_gpt4",
... | null | 2026-03-12T08:37:25Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 521,
"end": 549,
"text": "LFM2.5-1.2B-Saiga-It-v2-GGUF",
"label": "benchmark name",
"score": 0.6668341159820557
}
] |
apple/OpenELM-450M-Instruct | apple | 2025-02-28T18:31:23Z | 874 | 51 | transformers | [
"transformers",
"safetensors",
"openelm",
"text-generation",
"custom_code",
"arxiv:2404.14619",
"license:apple-amlr",
"region:us"
] | text-generation | 2024-04-12T21:51:56Z | # OpenELM
*Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari*
We introduce **OpenELM**, a family of **Open** **E**fficient **L**anguage **M**odels. OpenELM uses a layer-wise scaling strategy ... | [] |
mradermacher/Qwen3-Jan-v1-256k-ctx-6B-Brainstorm20x-i1-GGUF | mradermacher | 2025-12-16T02:58:15Z | 262 | 1 | transformers | [
"transformers",
"gguf",
"merge",
"programming",
"code generation",
"code",
"coding",
"coder",
"chat",
"brainstorm",
"qwen",
"qwen3",
"qwencoder",
"brainstorm20x",
"creative",
"all uses cases",
"Jan-V1",
"en",
"base_model:DavidAU/Qwen3-Jan-v1-256k-ctx-6B-Brainstorm20x",
"base_mo... | null | 2025-08-21T16:38:37Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [
{
"start": 462,
"end": 500,
"text": "Qwen3-Jan-v1-256k-ctx-6B-Brainstorm20x",
"label": "benchmark name",
"score": 0.6459943652153015
},
{
"start": 637,
"end": 683,
"text": "Qwen3-Jan-v1-256k-ctx-6B-Brainstorm20x-i1-GGUF",
"label": "benchmark name",
"score": 0.727431893348... |
sthui/SimpleSeg-Qwen2.5-VL | sthui | 2026-01-28T06:46:35Z | 172 | 8 | transformers | [
"transformers",
"safetensors",
"opencua",
"feature-extraction",
"custom_code",
"arxiv:2601.19228",
"license:mit",
"region:us"
] | feature-extraction | 2026-01-25T08:57:09Z | # Towards Pixel-level VLM Perception via Simple Points Prediction
<div align="center">
<a href="https://simpleseg.github.io/">
<b>📄 Homepage</b>
</a> |
<a href="https://arxiv.org/abs/2601.19228">
<b>📄 Tech Report</b>
</a> |
<a href="https://github.com/songtianhui/SimpleSeg">... | [] |
Synthyra/ANKH_large | Synthyra | 2026-04-09T19:43:52Z | 404 | 1 | transformers | [
"transformers",
"safetensors",
"fast_ankh",
"fill-mask",
"protein language model",
"biology",
"custom_code",
"arxiv:2301.06568",
"arxiv:2505.20052",
"arxiv:2412.05496",
"region:us"
] | fill-mask | 2023-11-24T16:46:00Z | # FastANKH
Fast, optimized implementations of ANKH protein language models (T5-based) with multi-backend attention support.
**Requires PyTorch 2.11+** for Flash Attention 4 (FA4) backend support via flex attention.
## Models
| Model | Params | Layers | Hidden | Heads | Activation | Source |
|-------|------... | [] |
bartowski/p-e-w_Qwen3-4B-Instruct-2507-heretic-GGUF | bartowski | 2025-11-17T04:23:12Z | 1,958 | 12 | null | [
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"text-generation",
"base_model:p-e-w/Qwen3-4B-Instruct-2507-heretic",
"base_model:quantized:p-e-w/Qwen3-4B-Instruct-2507-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-11-17T02:30:46Z | ## Llamacpp imatrix Quantizations of Qwen3-4B-Instruct-2507-heretic by p-e-w
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/b7049">b7049</a> for quantization.
Original model: https://huggingface.co/p-e-w/Qwen3-4B-Instruct-2507-h... | [] |
mradermacher/Gemma3-9b-it-Girl-v1-i1-GGUF | mradermacher | 2025-12-08T09:04:24Z | 313 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"ja",
"dataset:hatakeyama-llm-team/AutoGeneratedJapaneseQA-other",
"base_model:Akimite/Gemma3-12b-it-Girl-v1",
"base_model:quantized:Akimite/Gemma3-12b-it-Girl-v1",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conversati... | null | 2025-10-06T21:28:42Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
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"end": 649,
"text": "Gemma3-9b-it-Girl-v1-i1-GGUF",
"label": "benchmark name",
"score": 0.7160241603851318
},
{
"start": 723,
"end": 748,
"text": "Gemma3-9b-it-Girl-v1-GGUF",
"label": "benchmark name",
"score": 0.6618473529815674
},
{
"start": 1209... |
ig1/Qwen3-VL-30B-A3B-Instruct-NVFP4 | ig1 | 2026-01-11T08:16:51Z | 5,013 | 9 | null | [
"safetensors",
"qwen3_vl_moe",
"image-text-to-text",
"conversational",
"dataset:neuralmagic/calibration",
"base_model:Qwen/Qwen3-VL-30B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-30B-A3B-Instruct",
"license:apache-2.0",
"8-bit",
"compressed-tensors",
"region:us"
] | image-text-to-text | 2025-10-28T07:25:58Z | # Qwen3-VL-30B-A3B-Instruct-NVFP4
NVFP4 quantization using [llm-compressor](https://github.com/vllm-project/llm-compressor) v0.8.2.dev28+g0f346cf7 (and transformers v4.57.1) based the officiel [NVFP4 example script](https://github.com/vllm-project/llm-compressor/blob/main/examples/quantization_w4a4_fp4/qwen3_vl_moe_w4... | [] |
dphn/Dolphin-X1-8B-FP8 | dphn | 2025-10-14T13:46:12Z | 112 | 1 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"base_model:dphn/Dolphin-X1-8B",
"base_model:quantized:dphn/Dolphin-X1-8B",
"license:llama3.1",
"text-generation-inference",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | text-generation | 2025-09-18T13:53:31Z | # 🐬 Dolphin X1 8B
Website: https://dphn.ai
Twitter: https://x.com/dphnAI
Talk to Dolphin for free in our Web UI & Telegram bot
Web Chat: https://chat.dphn.ai
Telegram bot: https://t.me/DolphinAI_bot
<img src="https://cdn-uploads.huggingface.co/production/uploads/68485b28c949339ca04c370c/qkY8HSi... | [] |
vidore/colpali | vidore | 2025-11-24T18:36:00Z | 5,872 | 476 | colpali | [
"colpali",
"safetensors",
"vidore",
"visual-document-retrieval",
"en",
"dataset:vidore/colpali_train_set",
"arxiv:2004.12832",
"arxiv:2407.01449",
"arxiv:2106.09685",
"base_model:google/paligemma-3b-mix-448",
"base_model:finetune:google/paligemma-3b-mix-448",
"license:mit",
"region:us"
] | visual-document-retrieval | 2024-06-25T10:06:08Z | # ColPali: Visual Retriever based on PaliGemma-3B with ColBERT strategy
ColPali is a model based on a novel model architecture and training strategy based on Vision Language Models (VLMs) to efficiently index documents from their visual features.
It is a [PaliGemma-3B](https://huggingface.co/google/paligemma-3b-mix-44... | [] |
spicyneuron/Qwen3.6-35B-A3B-MLX-4.8bit-vision | spicyneuron | 2026-04-27T23:35:55Z | 710 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.6-35B-A3B",
"base_model:quantized:Qwen/Qwen3.6-35B-A3B",
"license:apache-2.0",
"4-bit",
"region:us"
] | image-text-to-text | 2026-04-18T07:50:41Z | [Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) optimized for MLX.
- 4-bit baseline with important layers at 8-bit and BF16.
- This quant supports image input and requires a vision-capable server.
Also comes in non-image versions: [quality+](https://huggingface.co/spicyneuron/Qwen3.6-35B-A3B-MLX-5.4bit... | [] |
HuggingFaceTB/FineMath-Llama-3B | HuggingFaceTB | 2025-11-27T16:49:21Z | 103 | 22 | null | [
"safetensors",
"llama",
"en",
"dataset:HuggingFaceTB/finemath",
"arxiv:2502.02737",
"base_model:meta-llama/Llama-3.2-3B",
"base_model:finetune:meta-llama/Llama-3.2-3B",
"license:apache-2.0",
"region:us"
] | null | 2025-01-06T14:14:11Z | # Model Card
## Model summary
This is a continual-pre-training of [Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on a mix of 📐 [FineMath](https://huggingface.co/datasets/HuggingFaceTB/finemath) (our new high quality math dataset) and [FineWeb-Edu](https://huggingface.co/datasets/HuggingFaceFW/finewe... | [
{
"start": 69,
"end": 81,
"text": "Llama-3.2-3B",
"label": "benchmark name",
"score": 0.6742655038833618
},
{
"start": 117,
"end": 129,
"text": "Llama-3.2-3B",
"label": "benchmark name",
"score": 0.6756137013435364
}
] |
mradermacher/L3.3-GeneticLemonade-Unleashed-70B-i1-GGUF | mradermacher | 2025-02-22T04:00:11Z | 1,938 | 6 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:zerofata/L3.3-GeneticLemonade-Unleashed-70B",
"base_model:quantized:zerofata/L3.3-GeneticLemonade-Unleashed-70B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-02-21T11:27:23Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/zerofata/L3.3-GeneticLemonade-Unleashed-70B
<!-- provided-files -->
static quants are available at htt... | [] |
anthracite-org/magnum-v4-9b | anthracite-org | 2024-11-25T18:58:33Z | 166 | 18 | transformers | [
"transformers",
"safetensors",
"gemma2",
"text-generation",
"chat",
"conversational",
"en",
"dataset:anthracite-org/c2_logs_16k_llama_v1.1",
"dataset:NewEden/Claude-Instruct-5K",
"dataset:anthracite-org/kalo-opus-instruct-22k-no-refusal",
"dataset:Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned",... | text-generation | 2024-10-20T02:01:51Z | 
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus.
This model is fine-tuned on top of [gemma 2 9b (chatML'ified)](https://hugg... | [] |
mradermacher/MN-CaptainErisNebula-Chimera-v1.1-THINKING-ClaudeOpus4.5-12B-heretic-uncensored-i1-GGUF | mradermacher | 2026-01-07T14:10:30Z | 573 | 3 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance"... | null | 2026-01-07T12:32:48Z | ## 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": 463,
"end": 542,
"text": "MN-CaptainErisNebula-Chimera-v1.1-THINKING-ClaudeOpus4.5-12B-heretic-uncensored",
"label": "benchmark name",
"score": 0.6181018948554993
},
{
"start": 679,
"end": 766,
"text": "MN-CaptainErisNebula-Chimera-v1.1-THINKING-ClaudeOpus4.5-12B-heret... |
lmstudio-community/olmOCR-2-7B-1025-GGUF | lmstudio-community | 2025-11-20T16:01:21Z | 16,628 | 2 | null | [
"gguf",
"base_model:allenai/olmOCR-2-7B-1025",
"base_model:quantized:allenai/olmOCR-2-7B-1025",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-24T15:02:31Z | ## 💫 Community Model> olmOCR-2-7B-1025 by allenai
*👾 [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**: [allenai](https://huggingface.co/allenai)<br>
**Ori... | [] |
mradermacher/MiroThinker-v1.0-8B-GGUF | mradermacher | 2025-11-13T23:40:44Z | 171 | 1 | transformers | [
"transformers",
"gguf",
"agent",
"open-source",
"miromind",
"deep-research",
"en",
"base_model:miromind-ai/MiroThinker-v1.0-8B",
"base_model:quantized:miromind-ai/MiroThinker-v1.0-8B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-13T19:02:37Z | ## 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... | [] |
ali-vilab/In-Context-LoRA | ali-vilab | 2024-12-17T06:13:20Z | 1,451 | 636 | diffusers | [
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"arxiv:2410.23775",
"arxiv:2410.15027",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:mit",
"region:us"
] | text-to-image | 2024-11-07T05:47:16Z | 📢 [[Project Page](https://ali-vilab.github.io/In-Context-LoRA-Page/)] [[Github Repo](https://github.com/ali-vilab/In-Context-LoRA)] [[Paper](https://arxiv.org/abs/2410.23775)]
# 🔥 Latest News
- **[2024-12-17]** 🚀 We are excited to release **[IDEA-Bench](https://ali-vilab.github.io/IDEA-Bench-Page/)**, a comprehensi... | [
{
"start": 243,
"end": 253,
"text": "IDEA-Bench",
"label": "benchmark name",
"score": 0.6710700392723083
},
{
"start": 560,
"end": 564,
"text": "EMU2",
"label": "benchmark name",
"score": 0.7300798296928406
},
{
"start": 593,
"end": 597,
"text": "6.81",
... |
artificialguybr/3DRenderStyle-REDMOND-ZIMAGE | artificialguybr | 2026-02-20T04:13:49Z | 161 | 3 | diffusers | [
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"base_model:Tongyi-MAI/Z-Image-Turbo",
"base_model:adapter:Tongyi-MAI/Z-Image-Turbo",
"license:apache-2.0",
"region:us"
] | text-to-image | 2026-02-20T04:13:30Z | # 3D RENDER STYLE REDMOND LORA FOR Z IAMGE TURBO
<Gallery />
## Model description
#3D Render Style
I'm grateful for the GPU time from [Redmond.AI](https://redmond.ai/) that allowed me to make this model!
This LoRA was trained on 3D Render Style style images. It generates high-quality 3d render ... | [] |
GadflyII/GLM-4.7-Flash-MTP-NVFP4 | GadflyII | 2026-02-02T11:46:29Z | 13,172 | 4 | transformers | [
"transformers",
"safetensors",
"glm4_moe_lite",
"text-generation",
"moe",
"nvfp4",
"quantized",
"vllm",
"glm",
"30b",
"mtp",
"speculative-decoding",
"conversational",
"en",
"zh",
"base_model:zai-org/GLM-4.7-Flash",
"base_model:quantized:zai-org/GLM-4.7-Flash",
"license:apache-2.0",... | text-generation | 2026-02-02T11:32:48Z | # Note: If you have a multi-GPU SM120 Blackwell system (RTX 50/Pro), try my vLLM fork to resolve P2P / TP=2 issues (Pending PR into upstream).
https://github.com/Gadflyii/vllm/tree/main
# GLM-4.7-Flash-MTP-NVFP4 (Mixed Precision with MTP in BF16)
This is a **mixed precision NVFP4 quantization** of [zai-org/GLM-4.7-Fl... | [] |
meituan/EvoCUA-32B-20260105 | meituan | 2026-03-31T05:22:58Z | 995 | 24 | null | [
"safetensors",
"qwen3_vl",
"computer-use",
"gui-agent",
"osworld",
"multimodal",
"en",
"zh",
"arxiv:2602.08235",
"arxiv:2601.15876",
"arxiv:2511.21631",
"arxiv:2509.02544",
"license:apache-2.0",
"region:us"
] | null | 2026-01-07T03:29:57Z | <div align="center">
# EvoCUA: Evolving Computer Use Agent
**🥇 #1 Open-Source Model on OSWorld | A General-Purpose Multimodal Model Excelling at Computer Use**
[](https://huggingface.co/meituan/EvoCUA-32B-20260105)
[![Model](https://img.shields... | [
{
"start": 416,
"end": 429,
"text": "OSWorld Score",
"label": "evaluation metric",
"score": 0.7209656238555908
}
] |
mradermacher/Nemostein-3-Hermes-Omni-30b-a3b-GGUF | mradermacher | 2026-05-04T03:04:56Z | 525 | 1 | transformers | [
"transformers",
"gguf",
"text-generation",
"safetensors",
"english",
"nemotron",
"nemotron-h",
"mixture-of-experts",
"reasoning",
"tool-use",
"function-calling",
"hermes",
"saber",
"sft",
"lora",
"unsloth",
"conversational",
"en",
"base_model:GestaltLabs/Nemostein-3-Hermes-Omni-3... | text-generation | 2026-04-30T22:07:35Z | ## 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... | [] |
deepvk/bert-base-uncased | deepvk | 2023-08-10T06:23:07Z | 10,053 | 4 | transformers | [
"transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"ru",
"en",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | feature-extraction | 2023-02-07T14:51:11Z | # BERT-base
<!-- Provide a quick summary of what the model is/does. -->
Pretrained bidirectional encoder for russian language.
The model was trained using standard MLM objective on large text corpora including open social data.
See `Training Details` section for more information.
⚠️ This model contains only the enco... | [] |
mradermacher/ExeVRM-8B-GGUF | mradermacher | 2026-03-13T06:46:38Z | 907 | 1 | transformers | [
"transformers",
"gguf",
"video-understanding",
"reward-model",
"computer-use",
"qwen3-vl",
"multimodal",
"en",
"base_model:lime-nlp/ExeVRM-8B",
"base_model:quantized:lime-nlp/ExeVRM-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-12T15:56:01Z | ## 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 q... | [] |
lxyuan/distilbert-base-multilingual-cased-sentiments-student | lxyuan | 2025-03-03T02:06:53Z | 965,138 | 309 | transformers | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"distilbert",
"text-classification",
"sentiment-analysis",
"zero-shot-distillation",
"distillation",
"zero-shot-classification",
"debarta-v3",
"en",
"ar",
"de",
"es",
"fr",
"ja",
"zh",
"id",
"hi",
"it",
"ms",
"pt",
"data... | text-classification | 2023-05-05T16:22:55Z | <!-- 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. -->
# distilbert-base-multilingual-cased-sentiments-student
This model is distilled from the zero-shot classification pipeline on the M... | [] |
aisingapore/Qwen-SEA-Guard-8B-2602 | aisingapore | 2026-02-06T01:23:38Z | 167 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"arxiv:2602.01618",
"arxiv:2512.05501",
"base_model:aisingapore/Qwen-SEA-LION-v4-8B-VL",
"base_model:finetune:aisingapore/Qwen-SEA-LION-v4-8B-VL",
"license:ot... | image-text-to-text | 2025-11-26T06:31:36Z | 
# Model Card for Qwen-SEA-Guard-8B-2602
<!-- Provide a quick summary of what the model is/does. -->
Last updated: 2026-02-04
**SEA-Safeguard** is a collection of safety-focused Large Language Models (LLMs) built upon the SEA-LION family, designed specifically for the Southeast... | [] |
unsloth/functiongemma-270m-it | unsloth | 2026-01-15T03:33:29Z | 10,537 | 12 | transformers | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"gemma3",
"gemma",
"google",
"functiongemma",
"conversational",
"base_model:google/functiongemma-270m-it",
"base_model:finetune:google/functiongemma-270m-it",
"license:gemma",
"text-generation-inference",
"endpoints_compatibl... | text-generation | 2025-12-15T08:36:42Z | # Read our How to [Run & Fine-tune Guide!](https://docs.unsloth.ai/models/functiongemma)
<div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
<div... | [] |
mradermacher/EsotericSage-12B-GGUF | mradermacher | 2025-07-31T04:30:57Z | 103 | 4 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"nearswap",
"en",
"ja",
"base_model:yamatazen/EsotericSage-12B",
"base_model:quantized:yamatazen/EsotericSage-12B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-05-23T06:34:42Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/yamatazen/EsotericSage-12B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model pag... | [] |
zai-org/GLM-4.6-FP8 | zai-org | 2025-10-16T08:18:16Z | 19,507 | 98 | transformers | [
"transformers",
"safetensors",
"glm4_moe",
"text-generation",
"conversational",
"en",
"zh",
"arxiv:2508.06471",
"license:mit",
"endpoints_compatible",
"compressed-tensors",
"deploy:azure",
"region:us"
] | text-generation | 2025-09-29T07:52:20Z | # GLM-4.6-FP8
<div align="center">
<img src=https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/logo.svg width="15%"/>
</div>
<p align="center">
👋 Join our <a href="https://discord.gg/QR7SARHRxK" target="_blank">Discord</a> community.
<br>
📖 Check out the GLM-4.6 <a href="https://... | [
{
"start": 817,
"end": 824,
"text": "GLM-4.5",
"label": "benchmark name",
"score": 0.656871497631073
},
{
"start": 1180,
"end": 1191,
"text": "Claude Code",
"label": "benchmark name",
"score": 0.8164066672325134
},
{
"start": 1192,
"end": 1197,
"text": "Cl... |
mradermacher/AdaReasoner-7B-Randomized-GGUF | mradermacher | 2026-01-17T08:55:24Z | 267 | 1 | transformers | [
"transformers",
"gguf",
"agent",
"en",
"dataset:hitsmy/AdaReasoner-TC-Randomized",
"dataset:hitsmy/AdaReasoner-TG-Data-Randomized",
"base_model:AdaReasoner/AdaReasoner-7B-Randomized",
"base_model:quantized:AdaReasoner/AdaReasoner-7B-Randomized",
"license:apache-2.0",
"endpoints_compatible",
"reg... | null | 2026-01-17T06:12:10Z | ## 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/Heretic-Crckhead-270m-i1-GGUF | mradermacher | 2025-12-20T10:28:44Z | 671 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"en",
"base_model:hereticness/Heretic-Crckhead-270m",
"base_model:quantized:hereticness/Heretic-Crckhead-270m",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-20T10:08:55Z | ## 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": 654,
"text": "Heretic-Crckhead-270m-i1-GGUF",
"label": "benchmark name",
"score": 0.6759299039840698
}
] |
MIL-UT/Med-Asagi-14B-reasoning_beta | MIL-UT | 2026-03-13T04:47:39Z | 183 | 6 | transformers | [
"transformers",
"safetensors",
"llava",
"image-text-to-text",
"vision-language-model",
"medical",
"japanese",
"radiology",
"reasoning",
"custom_code",
"ja",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-03-10T02:20:55Z | # Model Details
## Model Description
Med-Asagi は、日本語の医療画像理解を目的として構築した大規模視覚言語モデル（VLM）です。
医療画像と日本語テキストを統合して扱うことができ、画像に対する質問応答や読影支援のようなタスクに利用できます。
本モデルは、医療分野で利用しやすい**オープンな日本語医療 VLM**の実現を目的として開発されました。ベースアーキテクチャには LLaVA 系の構成を採用し、画像エンコーダに SigLIP、日本語医療 LLM をテキストデコーダとして組み合わせています。総パラメータ数は約 14B です。
### 注意
本モデルは開発途中のプロトタイプ... | [] |
royokong/e5-v | royokong | 2026-04-14T09:49:40Z | 16,524 | 33 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"llava_next",
"sentence-similarity",
"arxiv:2407.12580",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | sentence-similarity | 2024-07-14T17:26:05Z | # [E5-V: Universal Embeddings with Multimodal Large Language Models](https://arxiv.org/abs/2407.12580)
E5-V is fine-tuned based on lmms-lab/llama3-llava-next-8b.
## Overview
We propose a framework, called E5-V, to adpat MLLMs for achieving multimodal embeddings. E5-V effectively bridges the modality gap between diffe... | [] |
qualcomm/FFNet-40S | qualcomm | 2026-04-28T06:58:39Z | 365 | 5 | pytorch | [
"pytorch",
"real_time",
"android",
"image-segmentation",
"arxiv:2206.08236",
"license:other",
"region:us"
] | image-segmentation | 2024-02-25T23:02:59Z | 
# FFNet-40S: Optimized for Qualcomm Devices
FFNet-40S is a "fuss-free network" that segments street scene images with per-pixel classes like road, sidewalk, and pedestrian. Trained on the Cityscapes ... | [] |
preszzz/drone-audio-detection-05-17-trial-0 | preszzz | 2025-05-17T16:15:41Z | 145 | 4 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"audio-spectrogram-transformer",
"audio-classification",
"generated_from_trainer",
"base_model:MIT/ast-finetuned-audioset-10-10-0.4593",
"base_model:finetune:MIT/ast-finetuned-audioset-10-10-0.4593",
"license:bsd-3-clause",
"endpoints_compatible",
"r... | audio-classification | 2025-05-17T16:08:19Z | <!-- 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. -->
# drone-audio-detection-05-17-trial-0
This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggi... | [
{
"start": 468,
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"text": "Accuracy",
"label": "evaluation metric",
"score": 0.8295559883117676
},
{
"start": 486,
"end": 495,
"text": "Precision",
"label": "evaluation metric",
"score": 0.9045701026916504
},
{
"start": 497,
"end": 503,
"text": "... |
TheBloke/TinyLlama-1.1B-Chat-v0.3-GPTQ | TheBloke | 2023-10-03T11:07:41Z | 403,694 | 10 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:cerebras/SlimPajama-627B",
"dataset:bigcode/starcoderdata",
"dataset:OpenAssistant/oasst_top1_2023-08-25",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v0.3",
"base_model:quantized:TinyLlama/TinyLlama-1.1B-Chat-v0.3",
"licens... | text-generation | 2023-10-03T11:01:00Z | <!-- 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... | [] |
alibaba-pai/Wan2.2-Fun-Reward-LoRAs | alibaba-pai | 2025-12-11T02:28:17Z | 27,487 | 64 | videox_fun | [
"videox_fun",
"text-to-video",
"arxiv:2310.03739",
"base_model:Wan-AI/Wan2.2-T2V-A14B",
"base_model:finetune:Wan-AI/Wan2.2-T2V-A14B",
"license:apache-2.0",
"region:us"
] | text-to-video | 2025-09-03T12:04:41Z | # Wan2.2-Fun-Reward-LoRAs
## Introduction
We explore the Reward Backpropagation technique <sup>[1](#ref1) [2](#ref2)</sup> to optimized the generated videos by [Wan2.2-Fun](https://github.com/aigc-apps/VideoX-Fun) for better alignment with human preferences.
We provide the following pre-trained models (i.e. LoRAs) alon... | [] |
tsinghua-ee/video-SALMONN-2_plus_3B | tsinghua-ee | 2025-09-28T04:12:59Z | 589 | 3 | peft | [
"peft",
"safetensors",
"en",
"arxiv:2506.15220",
"base_model:Qwen/Qwen2.5-VL-3B-Instruct",
"base_model:adapter:Qwen/Qwen2.5-VL-3B-Instruct",
"license:apache-2.0",
"region:us"
] | null | 2025-09-26T07:47:49Z | # video-SALMONN 2+ (Qwen 2.5-VL Based video-SALMONN 2)
video-SALMONN 2+ is built on Qwen 2.5-VL using a similar pipeline of video-SALMONN 2. Based on a better baseline and some other optimizations, video-SALMONN 2+ achieves SOTA on audio-visual QA benchmarks, including Video-MME, WorldSense, AVUT, Video-Holmes, and Da... | [
{
"start": 225,
"end": 229,
"text": "SOTA",
"label": "evaluation metric",
"score": 0.8567173480987549
},
{
"start": 271,
"end": 280,
"text": "Video-MME",
"label": "benchmark name",
"score": 0.8848661184310913
},
{
"start": 282,
"end": 292,
"text": "WorldSe... |
mradermacher/Tema_Q-R7.0-i1-GGUF | mradermacher | 2026-01-14T11:43:06Z | 231 | 3 | transformers | [
"transformers",
"gguf",
"gemma3",
"gemma",
"transformer",
"instruction-tuned",
"multilingual",
"uncensored",
"non-censored",
"unfiltered",
"ja",
"en",
"base_model:temaq-org/Tema_Q-R7.0",
"base_model:quantized:temaq-org/Tema_Q-R7.0",
"license:gemma",
"endpoints_compatible",
"region:us... | null | 2025-12-27T06:46:54Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
Jackrong/Qwen3.5-27B-Gemini-3.1-Pro-Reasoning-Distill | Jackrong | 2026-03-10T15:17:23Z | 535 | 3 | null | [
"safetensors",
"qwen3_5",
"unsloth",
"qwen",
"qwen3.5",
"reasoning",
"chain-of-thought",
"distillation",
"Dense",
"text-generation",
"conversational",
"en",
"zh",
"ko",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"dataset:Roman1111111/gemini-3.1-pro-hard-high-reasoning",
"base_model:Q... | text-generation | 2026-03-10T14:21:30Z | # 🌟 Qwen3.5-27B-Gemini-3.1-Pro-Reasoning-Distill
## 💡 Model Introduction
**Qwen3.5-27B-Gemini-3.1-Pro-Reasoning-Distill** is a reasoning model fine-tuned on top of **Qwen3.5-27B**.
The model is primarily optimized through high-density reasoning distillation sourced from **Gemini 3.1**, while also incorporating add... | [] |
huihui-ai/Huihui-Qwen3.5-35B-A3B-Claude-4.6-Opus-abliterated | huihui-ai | 2026-03-16T19:53:34Z | 1,214 | 27 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"abliterated",
"uncensored",
"Claude",
"reasoning",
"chain-of-thought",
"Dense",
"conversational",
"base_model:Jackrong/Qwen3.5-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled",
"base_model:finetune:Jackrong/Qwen3.5-35B-A3B-Clau... | image-text-to-text | 2026-03-16T16:42:02Z | # huihui-ai/Huihui-Qwen3.5-35B-A3B-Claude-4.6-Opus-abliterated
This is an uncensored version of [Jackrong/Qwen3.5-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled](https://huggingface.co/Jackrong/Qwen3.5-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled) created with abliteration (see [remove-refusals-with-transformers](https:/... | [] |
tencent/Hunyuan-7B-Instruct | tencent | 2025-09-02T07:35:40Z | 10,646 | 88 | transformers | [
"transformers",
"safetensors",
"hunyuan_v1_dense",
"text-generation",
"conversational",
"base_model:tencent/Hunyuan-7B-Pretrain",
"base_model:finetune:tencent/Hunyuan-7B-Pretrain",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-07-30T03:40:59Z | <p align="center">
<img src="https://dscache.tencent-cloud.cn/upload/uploader/hunyuan-64b418fd052c033b228e04bc77bbc4b54fd7f5bc.png" width="400"/> <br>
</p><p></p>
<p align="center">
🤗 <a href="https://huggingface.co/tencent/"><b>HuggingFace</b></a> |
🤖 <a href="https://modelscope.cn/mo... | [] |
mradermacher/Qwen3-VL-8B-Instruct-with-codebook-GGUF | mradermacher | 2026-04-24T16:41:37Z | 885 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3_vl",
"trl",
"en",
"base_model:alxxtexxr/Qwen3-VL-8B-Instruct-VCB8K",
"base_model:quantized:alxxtexxr/Qwen3-VL-8B-Instruct-VCB8K",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-03T11:25:20Z | ## 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... | [] |
NexaAI/Qwen3-VL-8B-Thinking-GGUF | NexaAI | 2025-10-27T19:14:00Z | 455 | 12 | null | [
"gguf",
"image-text-to-text",
"base_model:Qwen/Qwen3-VL-8B-Thinking",
"base_model:quantized:Qwen/Qwen3-VL-8B-Thinking",
"region:us"
] | image-text-to-text | 2025-10-14T05:28:39Z | # Qwen3-VL-8B-Thinking
> [!NOTE]
> Note currently only [NexaSDK](https://github.com/NexaAI/nexa-sdk) supports this model's GGUF.
Run **Qwen3-VL-8B-Thinking** optimized for CPU/GPU with [NexaSDK](https://github.com/NexaAI/nexa-sdk).
## Quickstart
1. **Install NexaSDK** and create a free account at [NexaSDK](https:... | [] |
apple/DFN2B-CLIP-ViT-L-14-39B | apple | 2025-02-28T18:41:00Z | 324 | 9 | open_clip | [
"open_clip",
"pytorch",
"clip",
"arxiv:2309.17425",
"license:apple-amlr",
"region:us"
] | null | 2024-07-08T11:26:50Z | A CLIP (Contrastive Language-Image Pre-training) model trained on DFN-2B.
Data Filtering Networks (DFNs) are small networks used to automatically filter large pools of uncurated data.
This model was trained on 2B images that were filtered from a pool of 12.8B uncurated image-text pairs
(12.8B image-text pairs from C... | [
{
"start": 996,
"end": 1008,
"text": "CLEVR Counts",
"label": "evaluation metric",
"score": 0.654373824596405
},
{
"start": 1034,
"end": 1048,
"text": "CLEVR Distance",
"label": "evaluation metric",
"score": 0.6873476505279541
}
] |
prithivMLmods/DeepCaption-VLA-7B | prithivMLmods | 2025-09-17T10:25:18Z | 140 | 22 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"trl",
"VisionLanguageAttribution",
"VisualUnderstanding",
"text-generation-inference",
"AttributeCaptioning",
"VLA",
"High-Fidelity",
"conversational",
"en",
"dataset:prithivMLmods/blip3o-caption-mini-arrow",
"dataset:pr... | image-text-to-text | 2025-08-29T00:01:03Z | 
# **DeepCaption-VLA-7B**
> The **DeepCaption-VLA-7B** model is a fine-tuned version of **Qwen2.5-VL-7B-Instruct**, tailored for **Image Captioning** and **Vision Language Attribution**. This variant is d... | [] |
deepseek-ai/DeepSeek-V2 | deepseek-ai | 2024-06-08T09:13:39Z | 15,952 | 334 | transformers | [
"transformers",
"safetensors",
"deepseek_v2",
"text-generation",
"conversational",
"custom_code",
"arxiv:2311.18743",
"arxiv:2405.04434",
"license:other",
"eval-results",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-04-22T07:53:46Z | <!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V2" />
</div>
<hr>
<div align="center" style="line-... | [] |
TheBloke/guanaco-65B-GPTQ | TheBloke | 2023-09-27T12:44:23Z | 818 | 263 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"base_model:timdettmers/guanaco-65b",
"base_model:quantized:timdettmers/guanaco-65b",
"license:other",
"text-generation-inference",
"4-bit",
"gptq",
"region:us"
] | text-generation | 2023-05-25T16:14:59Z | <!-- 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... | [] |
prithivMLmods/Qwen3-4B-2507-abliterated-GGUF | prithivMLmods | 2025-08-09T15:16:41Z | 1,193 | 9 | transformers | [
"transformers",
"gguf",
"qwen3",
"text-generation-inference",
"text-generation",
"en",
"base_model:huihui-ai/Huihui-Qwen3-4B-Instruct-2507-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3-4B-Instruct-2507-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conve... | text-generation | 2025-08-08T16:18:22Z | # **Qwen3-4B-2507-abliterated-GGUF**
> The [Huihui-Qwen3-4B-Instruct-2507-abliterated](https://huggingface.co/collections/huihui-ai/qwen3-abliterated-6810edc9f3bd663630b64ab7) model is an uncensored, proof-of-concept version of the Qwen3-4B-Instruct-2507 large language model, created using a novel abliteration method ... | [] |
nvidia/Llama-3_3-Nemotron-Super-49B-v1-FP8 | nvidia | 2025-10-15T16:20:50Z | 749 | 12 | transformers | [
"transformers",
"safetensors",
"nemotron-nas",
"text-generation",
"nvidia",
"llama-3",
"pytorch",
"conversational",
"custom_code",
"en",
"arxiv:2411.19146",
"arxiv:2505.00949",
"arxiv:2502.00203",
"license:other",
"region:us"
] | text-generation | 2025-05-13T19:37:07Z | # Llama-3.3-Nemotron-Super-49B-v1-FP8
## Model Overview
Llama-3.3-Nemotron-Super-49B-v1-FP8 is a large language model (LLM) which is a derivative of Meta Llama-3.3-70B-Instruct (AKA the reference model). It is a reasoning model that is post trained for reasoning, human chat pr... | [] |
fdtn-ai/Foundation-Sec-1.1-8B-Instruct | fdtn-ai | 2025-11-20T02:04:32Z | 4,571 | 14 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"security",
"conversational",
"en",
"base_model:fdtn-ai/Foundation-Sec-8B",
"base_model:finetune:fdtn-ai/Foundation-Sec-8B",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-11-18T01:00:00Z | # Foundation-Sec-1.1-8B-Instruct - Model Card
## Model Information
Llama-3.1-FoundationAI-SecurityLLM-1.1-8B-Instruct (Foundation-Sec-1.1-8B-Instruct) is an open-weight, 8-billion parameter instruction-tuned language model specialized for cybersecurity applications.
It extends the Foundation-Sec-1.1-8B base model wit... | [] |
vantagewithai/LongCat-Video-Avatar-ComfyUI-GGUF | vantagewithai | 2026-01-05T03:29:11Z | 4,313 | 15 | diffusers | [
"diffusers",
"gguf",
"audio-text-to-video",
"audio-image-text-to-video",
"audio-driven-video-continuation",
"transformers",
"avatar",
"video-generation",
"en",
"zh",
"arxiv:2512.01340",
"license:mit",
"region:us"
] | null | 2026-01-04T13:27:09Z | **Quantized GGUFs of LongCat-Video-Avatar for ComfyUI + WanVideoWrapper**
**Original model Link:** [https://huggingface.co/meituan-longcat/LongCat-Video-Avatar](https://huggingface.co/meituan-longcat/LongCat-Video-Avatar)
**Watch us at Youtube:** [@VantageWithAI](https://www.youtube.com/@vantagewithai)
# LongCat-Vi... | [] |
philipchung/bge-m3-onnx | philipchung | 2024-04-04T23:28:58Z | 429 | 2 | transformers | [
"transformers",
"onnx",
"xlm-roberta",
"feature-extraction",
"FlagEmbedding",
"Embedding",
"Hybrid Retrieval",
"ONNX",
"Optimum",
"ONNXRuntime",
"Multilingual",
"base_model:BAAI/bge-m3",
"base_model:quantized:BAAI/bge-m3",
"license:mit",
"text-embeddings-inference",
"endpoints_compatib... | feature-extraction | 2024-04-04T23:25:32Z | # Model Card for philipchung/bge-m3-onnx
<!-- Provide a quick summary of what the model is/does. -->
This is the [BAAI/BGE-M3](https://huggingface.co/BAAI/bge-m3) inference model converted to ONNX format and can be used with Optimum ONNX Runtime with CPU acceleration. This model outputs all 3 embedding types (Dense, ... | [] |
zer0int/CLIP-Regression-ViT-L-14 | zer0int | 2026-01-25T17:35:29Z | 179 | 2 | null | [
"safetensors",
"clip",
"license:mit",
"region:us"
] | null | 2026-01-16T15:04:43Z | ### Regression CLIP - with strong typographic robustness!
- Fine-tuned using CLS-Patch Linear Regression teachers
- This model: Strong robustness to typographic attacks, good generalization
- Check the benchmarks below - or read the 📄 [Latent Crossroads paper](https://github.com/zer0int/CLIP-fine-tune/blob/main/docs_r... | [
{
"start": 1567,
"end": 1573,
"text": "RTA100",
"label": "evaluation metric",
"score": 0.6091692447662354
}
] |
unsloth/Qwen3-4B-unsloth-bnb-4bit | unsloth | 2025-05-13T20:17:01Z | 79,239 | 19 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"qwen",
"unsloth",
"conversational",
"en",
"arxiv:2309.00071",
"base_model:Qwen/Qwen3-4B",
"base_model:quantized:Qwen/Qwen3-4B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"bitsandbytes"... | text-generation | 2025-04-28T08:01:14Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/qwen3-680edabfb790c8c34a242f95">our collection</a> for all versions of Qwen3 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to run Qwen3 correct... | [] |
bartowski/Qwen_Qwen3-1.7B-GGUF | bartowski | 2025-04-28T17:18:17Z | 2,101 | 18 | null | [
"gguf",
"text-generation",
"base_model:Qwen/Qwen3-1.7B",
"base_model:quantized:Qwen/Qwen3-1.7B",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-04-28T16:50:14Z | ## Llamacpp imatrix Quantizations of Qwen3-1.7B by Qwen
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b5200">b5200</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen3-1.7B
All quants made using imatrix op... | [] |
NAKSTStudio/yolov8m-chess-piece-detection | NAKSTStudio | 2025-11-10T06:05:14Z | 140 | 1 | ultralytics | [
"ultralytics",
"tflite",
"onnx",
"yolov8m",
"yolov8",
"object-detection",
"chess",
"computer-vision",
"chess-pieces",
"real-time-detection",
"flutter",
"mobile",
"license:agpl-3.0",
"region:us"
] | object-detection | 2025-11-10T05:59:37Z | # YOLOv8 Chess Piece Detection ♟️🔍
### By NAKST Studio
<br>
Fine-tuned <strong>YOLOv8</strong> model for real-time chess piece detection in 2D images. Trained on <strong>50,000+ images</strong> over <strong>120 epochs</strong> with enhanced generalization for real board images, videos, and app screenshots.
---
<div ... | [] |
TheBloke/Mistral-7B-Instruct-v0.1-GGUF | TheBloke | 2023-12-09T16:09:28Z | 39,667 | 608 | transformers | [
"transformers",
"gguf",
"mistral",
"finetuned",
"text-generation",
"base_model:mistralai/Mistral-7B-Instruct-v0.1",
"base_model:quantized:mistralai/Mistral-7B-Instruct-v0.1",
"license:apache-2.0",
"region:us"
] | text-generation | 2023-09-27T17:49:54Z | <!-- 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... | [] |
cs2764/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-Q6_K-GGUF | cs2764 | 2026-03-16T02:33:20Z | 243 | 1 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"Claude",
"reasoning",
"chain-of-thought",
"Dense",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"base_model:huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opu... | image-text-to-text | 2026-03-16T02:32:16Z | # cs2764/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-Q6_K-GGUF
This model was converted to GGUF format from [`huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated`](https://huggingface.co/huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingfac... | [] |
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