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/Youtu-VL-4B-Instruct-GGUF | mradermacher | 2026-01-29T14:33:59Z | 207 | 1 | 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",
"conversational"
] | null | 2026-01-28T13:41:27Z | ## 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... | [] |
jpacifico/Chocolatine-2-4B-Instruct-DPO-v2.1 | jpacifico | 2026-04-07T06:42:20Z | 1,972 | 7 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"dpo",
"post-training",
"french",
"alignment",
"model-merging",
"chocolatine",
"comparia",
"conversational",
"fr",
"en",
"dataset:jpacifico/comparia-dpo-pairs-bt-6k",
"dataset:jpacifico/french-orca-dpo-pairs-revised",
"base_m... | text-generation | 2026-02-01T10:50:29Z | # Chocolatine-2-4B-Instruct-DPO-v2.1
**Chocolatine-2-4B-Instruct-DPO-v2.1** is a post-trained version of [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507), designed to improve instruction-following, reasoning, and overall performance in French, while preserving strong multilingual capab... | [] |
gaunernst/gemma-3-27b-it-int4-awq | gaunernst | 2025-04-06T03:06:57Z | 24,328 | 39 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"conversational",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.00161",
"arxiv:2009.03300",
"arxiv:2304.06364",
"arxi... | image-text-to-text | 2025-03-21T14:11:46Z | # Gemma 3 27B Instruction-tuned INT4
This is the QAT INT4 Flax checkpoint (from Kaggle) converted to HF+AWQ format for ease of use. AWQ was NOT used for quantization. You can find the conversion script `convert_flax.py` in this model repo.
NOTE: this is NOT the same as the official QAT INT4 GGUFs released here https:... | [] |
mago-ai/ultra_diar_streaming_sortformer_8spk_v1 | mago-ai | 2026-04-09T03:19:33Z | 130 | 3 | nemo | [
"nemo",
"speaker-diarization",
"diarization",
"speech",
"sortformer",
"streaming",
"multilingual",
"en",
"base_model:nvidia/diar_streaming_sortformer_4spk-v2.1",
"base_model:finetune:nvidia/diar_streaming_sortformer_4spk-v2.1",
"license:apache-2.0",
"region:us"
] | null | 2026-03-23T01:50:00Z | # Ultra Diar Streaming Sortformer (8-Speaker)
This model extends **NVIDIA Streaming Sortformer** speaker diarization from **4 speakers to 8 speakers**. The original [diar_streaming_sortformer_4spk-v2.1](https://huggingface.co/nvidia/diar_streaming_sortformer_4spk-v2.1) supports up to 4 speakers; this model expands the... | [] |
prem-research/MiniGuard-v0.1 | prem-research | 2025-12-15T17:19:44Z | 106 | 14 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"safety",
"conversational",
"en",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-11-21T10:43:33Z | # MiniGuard-v0.1
<p align="center">
<img src="assets/MiniGuard-hero.png" alt="MiniGuard-v0.1 Hero" width="25%">
</p>
MiniGuard-v0.1 is a compact content safety classifier fine-tuned from [Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B). It classifies content in both, User inputs (prompt classification) and LLM ... | [
{
"start": 192,
"end": 202,
"text": "Qwen3-0.6B",
"label": "benchmark name",
"score": 0.6657643914222717
}
] |
allenai/OLMo-1B-hf | allenai | 2024-08-14T17:49:51Z | 28,991 | 27 | transformers | [
"transformers",
"safetensors",
"olmo",
"text-generation",
"en",
"dataset:allenai/dolma",
"arxiv:2402.00838",
"arxiv:2302.13971",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-04-12T18:13:34Z | <img src="https://allenai.org/olmo/olmo-7b-animation.gif" alt="OLMo Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for OLMo 1B
<!-- Provide a quick summary of what the model is/does. -->
OLMo is a series of **O**pen **L**anguage **Mo**dels designed to enable the scie... | [] |
deepgenteam/DeepGen-1.0 | deepgenteam | 2026-03-02T13:47:19Z | 363 | 172 | null | [
"text-to-image",
"dataset:Alex11556666/Reason_Tuning",
"arxiv:2602.12205",
"base_model:Qwen/Qwen2.5-VL-3B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-3B-Instruct",
"license:apache-2.0",
"region:us"
] | text-to-image | 2026-02-13T09:19:12Z | # 💡 DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing
<p align="left">
<a href="http://arxiv.org/abs/2602.12205">
<img
src="https://img.shields.io/badge/DeepGen 1.0-Paper-red?logo=arxiv&logoColor=red" style="display: inline-block; vertical-align: middle;"
... | [
{
"start": 4,
"end": 15,
"text": "DeepGen 1.0",
"label": "benchmark name",
"score": 0.7457267045974731
},
{
"start": 324,
"end": 335,
"text": "DeepGen 1.0",
"label": "benchmark name",
"score": 0.7282851338386536
},
{
"start": 644,
"end": 655,
"text": "Deep... |
mradermacher/ShizhenGPT-7B-LLM-i1-GGUF | mradermacher | 2025-12-23T05:06:34Z | 854 | 3 | transformers | [
"transformers",
"gguf",
"Traditional Chinese Medicin",
"Multimodal LLM",
"multimodal",
"zh",
"dataset:FreedomIntelligence/TCM-Pretrain-Data-ShizhenGPT",
"dataset:FreedomIntelligence/TCM-Instruction-Tuning-ShizhenGPT",
"base_model:FreedomIntelligence/ShizhenGPT-7B-LLM",
"base_model:quantized:Freedo... | null | 2025-08-25T08:15:08Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [
{
"start": 474,
"end": 491,
"text": "ShizhenGPT-7B-LLM",
"label": "benchmark name",
"score": 0.6378798484802246
},
{
"start": 628,
"end": 653,
"text": "ShizhenGPT-7B-LLM-i1-GGUF",
"label": "benchmark name",
"score": 0.73000168800354
},
{
"start": 727,
"end": 7... |
facebook/mms-tts-sqi | facebook | 2023-09-01T10:12:36Z | 246 | 4 | transformers | [
"transformers",
"pytorch",
"safetensors",
"vits",
"text-to-audio",
"mms",
"text-to-speech",
"arxiv:2305.13516",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2023-09-01T10:12:07Z | ---
license: cc-by-nc-4.0
tags:
- mms
- vits
pipeline_tag: text-to-speech
---
# Massively Multilingual Speech (MMS): Albanian Text-to-Speech
This repository contains the **Albanian (sqi)** language text-to-speech (TTS) model checkpoint.
This model is part of Facebook's [Massively Multilingual Speech](https://arxiv.o... | [] |
robotics-diffusion-transformer/RDT2-FM | robotics-diffusion-transformer | 2026-02-07T05:17:39Z | 910 | 7 | transformers | [
"transformers",
"pytorch",
"RDT",
"rdt",
"RDT 2",
"Vision-Language-Action",
"Bimanual",
"Manipulation",
"Zero-shot",
"UMI",
"Flowmatching",
"Diffusion",
"Action Expert",
"robotics",
"en",
"arxiv:2602.03310",
"base_model:robotics-diffusion-transformer/rdt-1b",
"base_model:finetune:r... | robotics | 2025-09-25T10:39:59Z | # RDT2-FM: Flow-Matching Action Expert for RDT 2
<!-- RDT2-FM conditions on a vision-language backbone ([RDT2-VQ](https://huggingface.co/robotics-diffusion-transformer/RDT2-VQ)) and predicts short-horizon **relative action chunks** with an action expert with improved RDT architecture and flow-matching objective.
Using... | [] |
unsloth/Qwen3-VL-4B-Thinking-GGUF | unsloth | 2025-10-31T14:22:47Z | 8,082 | 22 | transformers | [
"transformers",
"gguf",
"unsloth",
"qwen3",
"qwen",
"image-text-to-text",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-4B-Thinking",
"base_model:quantized:Qwen/Qwen3-VL-4B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
... | image-text-to-text | 2025-10-30T21:38:51Z | > [!NOTE]
> Includes Unsloth **chat template fixes**!
>
<div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See our <a href="https://huggingface.co/collections/unsloth/qwen3-vl">Qwen3-VL collection</a> for all versions including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">... | [
{
"start": 182,
"end": 190,
"text": "qwen3-vl",
"label": "benchmark name",
"score": 0.7064756155014038
},
{
"start": 192,
"end": 200,
"text": "Qwen3-VL",
"label": "benchmark name",
"score": 0.8005810379981995
},
{
"start": 243,
"end": 247,
"text": "GGUF",
... |
dkumar15/aria-1b-chat | dkumar15 | 2026-03-05T04:49:22Z | 287 | 2 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"causal-lm",
"from-scratch",
"dpo",
"chat",
"conversational",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-05T04:49:00Z | # Transformer-1B-Chat
A **1.1 billion parameter** decoder-only language model trained **entirely from scratch** -- pretraining, supervised fine-tuning, and preference alignment -- on 8x NVIDIA H100 GPUs.
## Model Details
| Property | Value |
|---|---|
| Parameters | 1,105,827,840 (1.1B) |
| Architecture | LLaMA-styl... | [] |
mradermacher/Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v2-i1-GGUF | mradermacher | 2025-12-09T03:23:50Z | 428 | 8 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v2",
"base_model:quantized:Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v2",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-13T14:29:33Z | ## 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_K... | [] |
zatochu/EasyFluff | zatochu | 2024-04-04T14:55:16Z | 809 | 60 | diffusers | [
"diffusers",
"safetensors",
"arxiv:2305.08891",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | 2023-08-12T22:49:28Z | V10-FunnerEdition?
- Tweaked UNET with supermerger adjust to dial back noise/detail that can resolve eye sclera bleed in some cases.
- Adjusted contrast and color temperature. (Less orange/brown by default)
- CLIP should theoretically respond more to natural language. (Don't conflate this with tags not working or havi... | [] |
Nichonauta/Self-Forcing2.1-I2V-1.3B-GGUF | Nichonauta | 2025-08-25T09:37:39Z | 115 | 2 | self-forcing | [
"self-forcing",
"gguf",
"text-to-video",
"video-generation",
"en",
"arxiv:2405.03358",
"base_model:gdhe17/Self-Forcing",
"base_model:quantized:gdhe17/Self-Forcing",
"license:cc-by-nc-sa-4.0",
"region:us"
] | text-to-video | 2025-08-25T09:28:01Z | # Self-Forcing2.1-T2V-1.3B-GGUF
<p align="center">
📄 <a href="https://self-forcing.github.io/"><b>Self-Forcing</b></a>    ｜    🧬 <a href="https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B"><b>Wan2.1</b></a>    ｜    🤖 <a href="https://huggingface.co/Nichonauta/Self-Forcing2.1-I2V-1.3... | [] |
lukealonso/MiniMax-M2.7-NVFP4 | lukealonso | 2026-04-15T15:40:38Z | 13,496 | 35 | null | [
"safetensors",
"minimax_m2",
"custom_code",
"base_model:MiniMaxAI/MiniMax-M2.7",
"base_model:quantized:MiniMaxAI/MiniMax-M2.7",
"license:mit",
"8-bit",
"modelopt",
"region:us"
] | null | 2026-04-12T05:03:37Z | Update 4/15/26 - Calibration data updated, KLD reduced by ~10%.
Update 4/12/26 - Calibration data updated, KLD reduced by ~20%.
Note: If you're experiencing issues with spurious spaces after punctuation, try downgrading transformers to 0.4.67
## Model Description
**MiniMax-M2.7-NVFP4** is an NVFP4-quantized version... | [
{
"start": 43,
"end": 46,
"text": "KLD",
"label": "evaluation metric",
"score": 0.66957026720047
}
] |
kandinskylab/KVAE-3D-2.0-t4s16 | kandinskylab | 2026-04-27T14:03:26Z | 226 | 7 | KVAE 3D | [
"KVAE 3D",
"safetensors",
"model_hub_mixin",
"pytorch_model_hub_mixin",
"vae",
"license:apache-2.0",
"region:us"
] | null | 2026-03-30T08:44:34Z | <div align="center">
<a href="https://github.com/kandinskylab/kvae">Github</a> | <a href="https://habr.com/ru/companies/sberbank/articles/1016814/">Habr article</a> | <a href="https://kandinskylab.ai/">Project Page</a> | Technical Report (soon)
</div>
<h1>KVAE 2.0: Video tokenizers </h1>
KVAE 2.0 and previous KVAE ... | [
{
"start": 936,
"end": 940,
"text": "PSNR",
"label": "evaluation metric",
"score": 0.8103033304214478
},
{
"start": 942,
"end": 946,
"text": "SSIM",
"label": "evaluation metric",
"score": 0.7759502530097961
},
{
"start": 952,
"end": 957,
"text": "LPIPS",
... |
unsloth/Qwen-Image-Layered-GGUF | unsloth | 2026-01-09T21:58:24Z | 2,280 | 47 | ggml | [
"ggml",
"gguf",
"quantized",
"unsloth",
"qwen",
"image-text-to-image",
"en",
"zh",
"arxiv:2512.15603",
"base_model:Qwen/Qwen-Image-Layered",
"base_model:quantized:Qwen/Qwen-Image-Layered",
"license:apache-2.0",
"region:us"
] | image-text-to-image | 2025-12-19T15:34:26Z | > [!NOTE]
> This is a GGUF quantized version of [Qwen-Image-Layered](https://huggingface.co/Qwen/Qwen-Image-Layered).
> unsloth/Qwen-Image-Layered-GGUF uses [Unsloth Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) methodology for SOTA performance. Important layers are upcasted to higher precision... | [] |
mradermacher/Qwen3-VL-4B-Instruct-abliterated-v2-GGUF | mradermacher | 2026-01-08T06:47:40Z | 248 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:TomSawyer667/Qwen3-VL-4B-Instruct-abliterated-v2",
"base_model:quantized:TomSawyer667/Qwen3-VL-4B-Instruct-abliterated-v2",
"license:unknown",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-08T06:37:52Z | ## 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/MistralAI-Magistral-Small-2507-Heretic-Uncensored-GGUF | mradermacher | 2026-02-18T05:46:52Z | 403 | 1 | transformers | [
"transformers",
"gguf",
"ablation",
"research",
"nlp",
"24b",
"mistral",
"heretic",
"magistral",
"roleplay",
"en",
"base_model:Silicone-Moss/MistralAI-Magistral-Small-2507-Heretic-Uncensored",
"base_model:quantized:Silicone-Moss/MistralAI-Magistral-Small-2507-Heretic-Uncensored",
"license:... | null | 2026-02-17T19:00:03Z | ## 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... | [] |
Multilingual-Multimodal-NLP/IndustrialCoder | Multilingual-Multimodal-NLP | 2026-03-27T12:20:50Z | 918 | 41 | transformers | [
"transformers",
"safetensors",
"iquestcoder",
"text-generation",
"code",
"industrial-code",
"verilog",
"cuda",
"triton",
"chip-design",
"cad",
"conversational",
"custom_code",
"arxiv:2603.16790",
"license:apache-2.0",
"eval-results",
"region:us"
] | text-generation | 2026-03-13T11:20:54Z | # InCoder-32B: Code Foundation Model for Industrial Scenarios
<div align="center">
[](https://huggingface.co/Multilingual-Multimodal-NLP/IndustrialCoder)
[](https://modelscope.cn... | [] |
UsefulSensors/moonshine-tiny-ar | UsefulSensors | 2025-09-06T01:16:10Z | 573 | 6 | transformers | [
"transformers",
"safetensors",
"moonshine",
"automatic-speech-recognition",
"ar",
"arxiv:2509.02523",
"arxiv:1810.03993",
"license:other",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2025-09-01T17:05:15Z | # Moonshine
This model is part of the Moonshine family of tiny specialized Automatic Speech Recognition (ASR) models for edge devices, as described in [Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices](https://huggingface.co/papers/2509.02523).
[[Paper]](https://huggingface.co/papers/2509.02523) | [... | [] |
nomic-ai/CodeRankLLM | nomic-ai | 2025-06-24T02:00:23Z | 2,699 | 21 | null | [
"safetensors",
"qwen2",
"arxiv:2412.01007",
"base_model:Qwen/Qwen2.5-Coder-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-Coder-7B-Instruct",
"license:mit",
"region:us"
] | null | 2024-11-08T23:14:04Z | `CodeRankLLM` is a 7B LLM fine-tuned for listwise code-reranking. When combined with performant code retrievers like [`CodeRankEmbed`](https://huggingface.co/cornstack/CodeRankEmbed), it significantly enhances the quality of retrieved results for various code retrieval tasks.
We release the scripts to evaluate our mo... | [] |
HuggingFaceTB/SmolLM2-135M-Instruct | HuggingFaceTB | 2025-09-22T20:43:15Z | 923,566 | 301 | transformers | [
"transformers",
"tensorboard",
"onnx",
"safetensors",
"llama",
"text-generation",
"transformers.js",
"conversational",
"en",
"arxiv:2502.02737",
"base_model:HuggingFaceTB/SmolLM2-135M",
"base_model:quantized:HuggingFaceTB/SmolLM2-135M",
"license:apache-2.0",
"text-generation-inference",
... | text-generation | 2024-10-31T13:41:10Z | # SmolLM2
## Table of Contents
1. [Model Summary](##model-summary)
2. [Limitations](##limitations)
3. [Training](##training)
4. [License](##license)
5. [Citation](##citation)
## Model Summary
Smo... | [] |
TendieLabs/Capybara-31B-GGUFS | TendieLabs | 2026-04-06T19:43:12Z | 1,306 | 1 | null | [
"gguf",
"gemma",
"gemma-4",
"fine-tuned",
"lora",
"qlora",
"assistant",
"orchestrator",
"tendielabs",
"text-generation",
"en",
"dataset:microsoft/rStar-Coder",
"dataset:Crownelius/Opus-4.6-Reasoning-3300x",
"dataset:Crownelius/High-Coder-Reasoning-Multi-Turn",
"dataset:NickyNicky/Code-29... | text-generation | 2026-04-04T00:21:02Z | # Capybara-31B
> **Beta / WIP.** This is an experimental release made to validate the fine-tune process and test behavior on real hardware. It is not a production-ready model. Expect rough edges, and treat evaluation results as preliminary.
**TendieLabs/Capybara-31B** is a fine-tuned version of `google/gemma-4-31B-it`... | [] |
mradermacher/Qwen3-Next-80B-A3B-Instruct-REAP-GGUF | mradermacher | 2026-02-01T08:43:55Z | 146 | 2 | transformers | [
"transformers",
"gguf",
"compression",
"expert-merging",
"moe",
"en",
"base_model:SamsungSAILMontreal/Qwen3-Next-80B-A3B-Instruct-REAP",
"base_model:quantized:SamsungSAILMontreal/Qwen3-Next-80B-A3B-Instruct-REAP",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-30T09:02:33Z | ## 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... | [] |
JANGQ-AI/Qwen3.5-122B-A10B-JANG_4K | JANGQ-AI | 2026-03-22T19:39:42Z | 868 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"jang",
"quantized",
"mixed-precision",
"apple-silicon",
"moe",
"vlm",
"reasoning",
"thinking",
"en",
"zh",
"ko",
"base_model:Qwen/Qwen3.5-122B-A10B",
"base_model:finetune:Qwen/Qwen3.5-122B-A10B",
"license:apache-2.0",
"region:us"
] | null | 2026-03-16T19:59:47Z | > **CRITICAL FIX (2026-03-19):** Fixed eos_token_id — previous versions caused infinite thinking loops. **You MUST re-download this model if you downloaded before today.**
> **Update (2026-03-18):** Models have been updated to v2.1.0 with VLM support, proper tokenizer, and fixed configs. **If you downloaded before t... | [] |
LiquidAI/LFM2-350M-PII-Extract-JP-GGUF | LiquidAI | 2026-04-06T18:53:24Z | 376 | 8 | null | [
"gguf",
"liquid",
"lfm2",
"edge",
"base_model:LiquidAI/LFM2-350M-PII-Extract-JP",
"base_model:quantized:LiquidAI/LFM2-350M-PII-Extract-JP",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-30T07:19:05Z | ---
license: other
license_name: lfm1.0
license_link: LICENSE
tags:
- liquid
- lfm2
- edge
base_model:
- LiquidAI/LFM2-350M-PII-Extract-JP
---
<center>
<div style="text-align: center;">
<img
src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png"
alt="... | [] |
mradermacher/Spatial-SSRL-7B-GGUF | mradermacher | 2025-11-03T22:37:50Z | 164 | 2 | transformers | [
"transformers",
"gguf",
"multimodal",
"spatial",
"sptial understanding",
"self-supervised learning",
"en",
"dataset:internlm/Spatial-SSRL-81k",
"base_model:internlm/Spatial-SSRL-7B",
"base_model:quantized:internlm/Spatial-SSRL-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
... | null | 2025-11-03T17:07:15Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 513,
"end": 533,
"text": "Spatial-SSRL-7B-GGUF",
"label": "benchmark name",
"score": 0.6701401472091675
},
{
"start": 1295,
"end": 1310,
"text": "Spatial-SSRL-7B",
"label": "benchmark name",
"score": 0.6028034687042236
}
] |
microsoft/FrogMini-14B-2510 | microsoft | 2026-01-15T13:48:52Z | 1,633 | 61 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2510.19898",
"base_model:Qwen/Qwen3-14B",
"base_model:finetune:Qwen/Qwen3-14B",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2026-01-09T16:43:09Z | # FrogMini-14B-2510
| **Field** | **Value** |
|----------|-----------|
| Developer | Microsoft Corporation<br>**Authorized representative: Microsoft Ireland Operations Limited 70 Sir John Rogerson’s Quay, Dublin 2, D02 R296, Ireland** |
| Description | FrogMini is a 14B-parameter coding agent specialized in fixing bu... | [] |
deepseek-ai/DeepSeek-Coder-V2-Instruct | deepseek-ai | 2024-08-21T06:42:50Z | 22,798 | 685 | transformers | [
"transformers",
"safetensors",
"deepseek_v2",
"text-generation",
"conversational",
"custom_code",
"arxiv:2401.06066",
"base_model:deepseek-ai/DeepSeek-Coder-V2-Base",
"base_model:finetune:deepseek-ai/DeepSeek-Coder-V2-Base",
"license:other",
"text-generation-inference",
"endpoints_compatible",... | text-generation | 2024-06-14T03:46:22Z | <!-- 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-... | [] |
allenai/Olmo-3-32B-Think-SFT | allenai | 2026-01-05T16:25:54Z | 921 | 4 | transformers | [
"transformers",
"safetensors",
"olmo3",
"text-generation",
"conversational",
"en",
"dataset:allenai/Dolci-Think-SFT",
"arxiv:2512.13961",
"base_model:allenai/Olmo-3-1125-32B",
"base_model:finetune:allenai/Olmo-3-1125-32B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-11-14T19:45:08Z | ## Model Details
<img alt="Logo for Olmo 3 32B Think model" src="olmo-think.png" width="240px" style="margin-left:'auto' margin-right:'auto' display:'block'">
# Model Card for Olmo 3 32B Think SFT
We introduce Olmo 3, a new family of 7B and 32B models both Instruct and Think variants. Long chain-of-thought thinking ... | [] |
Lightricks/LTX-Video-0.9.8-13B-distilled | Lightricks | 2025-07-17T15:03:34Z | 2,882 | 26 | diffusers | [
"diffusers",
"safetensors",
"ltx-video",
"image-to-video",
"en",
"license:other",
"diffusers:LTXConditionPipeline",
"region:us"
] | image-to-video | 2025-07-17T12:00:38Z | # LTX-Video 0.9.8 13B Distilled Model Card
This model card focuses on the model associated with the LTX-Video model, codebase available [here](https://github.com/Lightricks/LTX-Video).
LTX-Video is the first DiT-based video generation model capable of generating high-quality videos in real-time. It produces 30 FPS vid... | [] |
AxiomicLabs/GPT-X-125m-15bt | AxiomicLabs | 2026-04-10T08:40:45Z | 1,871 | 1 | transformers | [
"transformers",
"safetensors",
"gptx",
"text-generation",
"language-model",
"transformer",
"rope",
"swiglu",
"gqa",
"custom-architecture",
"custom_code",
"en",
"dataset:HuggingFaceFW/fineweb-edu",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-03-23T08:59:29Z | 
# GPT-X-125M-15BT
A modern Llama-style language model trained from scratch. 125M parameters, 15B tokens of FineWeb-Edu. **Outperforms GPT-3 (125M) on HellaSwag using 20x less training data.**
## Results
| Benchmark | GPT-X (15BT) | GPT-2 (124M) | GPT-2 Medium (355M) | GPT-3 (125... | [
{
"start": 189,
"end": 198,
"text": "HellaSwag",
"label": "benchmark name",
"score": 0.6908352971076965
},
{
"start": 349,
"end": 358,
"text": "HellaSwag",
"label": "benchmark name",
"score": 0.7865114808082581
}
] |
nvidia/GR00T-N1-2B | nvidia | 2025-09-02T22:25:27Z | 309 | 350 | null | [
"safetensors",
"gr00t_n1",
"robotics",
"dataset:nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim",
"arxiv:2503.14734",
"arxiv:2501.14818",
"arxiv:2410.24164",
"region:us"
] | robotics | 2025-03-05T08:40:53Z | # GR00T-N1-2B
Github page: https://github.com/NVIDIA/Isaac-GR00T/
## Description:
NVIDIA Isaac GR00T N1 is the world’s first open foundation model for generalized humanoid robot reasoning and skill... | [] |
maya-research/Veena | maya-research | 2025-10-05T06:17:53Z | 3,796 | 229 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-to-speech",
"tts",
"hindi",
"english",
"audio",
"speech",
"india",
"en",
"hi",
"dataset:proprietary",
"license:apache-2.0",
"co2_eq_emissions",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2025-06-24T23:58:58Z | # Veena - Text to Speech for Indian Languages
Veena is a state-of-the-art neural text-to-speech (TTS) model developed by Maya Research, designed for English and Indian languages. Built on a Llama architecture backbone, Veena generates natural, expressive speech with emotional tone, remarkable quality, and ultra-low la... | [] |
mradermacher/Medical-Qwen2.5-7B-Huatuo-Alpha-GGUF | mradermacher | 2026-03-01T04:58:58Z | 466 | 1 | transformers | [
"transformers",
"gguf",
"medical",
"fine-tuned",
"qlora",
"zh",
"base_model:xu2409324124/Medical-Qwen2.5-7B-Huatuo-Alpha",
"base_model:quantized:xu2409324124/Medical-Qwen2.5-7B-Huatuo-Alpha",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-01T04:28:32Z | ## 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": 365,
"end": 396,
"text": "Medical-Qwen2.5-7B-Huatuo-Alpha",
"label": "benchmark name",
"score": 0.7707636952400208
},
{
"start": 533,
"end": 569,
"text": "Medical-Qwen2.5-7B-Huatuo-Alpha-GGUF",
"label": "benchmark name",
"score": 0.8097764849662781
},
{
... |
mradermacher/SimpleChat-32B-V1-i1-GGUF | mradermacher | 2025-12-09T03:18:49Z | 142 | 2 | transformers | [
"transformers",
"gguf",
"qwen3",
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"fi",
"base_model:OpenBuddy/SimpleChat-32B-V1",
"base_model:quantized:OpenBuddy/SimpleChat-32B-V1",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-15T16:04:17Z | ## 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": 618,
"end": 643,
"text": "SimpleChat-32B-V1-i1-GGUF",
"label": "benchmark name",
"score": 0.6652739644050598
},
{
"start": 717,
"end": 739,
"text": "SimpleChat-32B-V1-GGUF",
"label": "benchmark name",
"score": 0.6118523478507996
},
{
"start": 1200,
... |
openai/whisper-base | openai | 2024-02-29T10:26:57Z | 1,173,295 | 260 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"en",
"zh",
"de",
"es",
"ru",
"ko",
"fr",
"ja",
"pt",
"tr",
"pl",
"ca",
"nl",
"ar",
"sv",
"it",
"id",
"hi",
"fi",
"vi",
"he",
"... | automatic-speech-recognition | 2022-09-26T06:50:46Z | # Whisper
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours
of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need
for fine-tuning.
Whisper was proposed in the paper [Robust Speec... | [] |
mradermacher/Qwen3-VL-8B-Instruct-abliterated-v2-i1-GGUF | mradermacher | 2025-12-05T05:12:55Z | 431 | 4 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"abliterated",
"v2.0",
"en",
"base_model:prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v2",
"base_model:quantized:prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"c... | null | 2025-11-14T00:05:00Z | ## 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_... | [] |
llm-jp/Llama-Mimi-1.3B | llm-jp | 2025-10-02T00:57:10Z | 138 | 10 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"audio-to-audio",
"en",
"arxiv:2509.14882",
"arxiv:2409.07437",
"base_model:meta-llama/Llama-3.2-1B",
"base_model:finetune:meta-llama/Llama-3.2-1B",
"license:llama3.2",
"text-generation-inference",
"endpoints_compatible",
"region:u... | audio-to-audio | 2025-09-18T01:52:59Z | <div align="center" style="line-height: 1;">
<h1>Llama-Mimi: Speech Language Models with Interleaved Semantic and Acoustic Tokens </h1>
|
<a href="https://huggingface.co/collections/llm-jp/llama-mimi-68ccd61797e5b6faf06ba0d5" target="_blank">🤗 HuggingFace</a>
|
<a href="https://arxiv.org/abs/2509.1488... | [] |
mradermacher/Huihui-Qwen3-VL-32B-Instruct-abliterated-GGUF | mradermacher | 2025-10-30T22:19:50Z | 1,045 | 6 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-Qwen3-VL-32B-Instruct-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3-VL-32B-Instruct-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-30T17:36:49Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
inference-net/Schematron-3B | inference-net | 2026-04-23T18:07:23Z | 2,254 | 332 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"base_model:meta-llama/Llama-3.2-3B-Instruct",
"base_model:finetune:meta-llama/Llama-3.2-3B-Instruct",
"license:llama3.2",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-21T19:15:21Z | <p align="center">
<img alt="Schematron" src="https://huggingface.co/inference-net/Schematron-3B/resolve/main/Banner.png">
</p>
<p align="center">
<a href="https://docs.inference.net/use-cases/json-extraction"><strong>Documentation</strong></a> ·
<a href="https://inference.net/models/schematron-3b"><strong>Serve... | [] |
mradermacher/gemma-3-12b-it-projection-abliterated-GGUF | mradermacher | 2025-10-28T08:37:32Z | 348 | 3 | transformers | [
"transformers",
"gguf",
"en",
"base_model:grimjim/gemma-3-12b-it-projection-abliterated",
"base_model:quantized:grimjim/gemma-3-12b-it-projection-abliterated",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-28T07:29:09Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
marcinbrzezanski/gpt-oss-120b-awq-w4a16 | marcinbrzezanski | 2026-03-04T15:24:53Z | 344 | 1 | null | [
"safetensors",
"gpt_oss",
"mixture-of-experts",
"activation-aware-weight-quantization",
"awq",
"w4a16",
"large-language-model",
"reasoning",
"long-context",
"en",
"base_model:openai/gpt-oss-120b",
"base_model:quantized:openai/gpt-oss-120b",
"license:apache-2.0",
"4-bit",
"region:us"
] | null | 2026-03-04T15:23:49Z | # gpt-oss-120b-awq-w4a16
_A 4-bit AWQ-quantised release of **gpt-oss-120b**_
> **TL;DR** – We convert the original FP16/FP32 checkpoint (≈ 234 GB) of **gpt-oss-120b** into a 4-bit weight-only model with 16-bit activations (**W4A16**).
> The resulting 11-shard safetensors bundle is **≈ 33.4 GB**, a **7× size reduct... | [] |
Xlnk/Qwen3.5-2B-GGUF | Xlnk | 2026-03-03T12:09:53Z | 1,887 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"image-text-to-text",
"base_model:Qwen/Qwen3.5-2B",
"base_model:quantized:Qwen/Qwen3.5-2B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2026-03-03T12:09:52Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<h1 style="margin-top: 0rem;">To run Qwen3.5 locally - <a href="https://unsloth.ai/docs/models/qwen3.5">Read our Guide!</a></h1>
</p>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://unsloth.ai/docs/basics/unsloth-dynamic-v2.0-gguf">Unsloth ... | [] |
language-and-voice-lab/whisper-large-icelandic-62640-steps-967h | language-and-voice-lab | 2025-04-25T00:02:43Z | 163 | 4 | transformers | [
"transformers",
"pytorch",
"whisper",
"automatic-speech-recognition",
"audio",
"icelandic",
"whisper-large",
"iceland",
"reykjavik",
"samromur",
"is",
"dataset:language-and-voice-lab/samromur_milljon",
"license:cc-by-4.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2023-06-15T01:21:39Z | # whisper-large-icelandic-62640-steps-967h
The "whisper-large-icelandic-62640-steps-967h" is an acoustic model suitable for Automatic Speech Recognition in Icelandic. It is the result of fine-tuning the model [openai/whisper-large](https://huggingface.co/openai/whisper-large) for 62,640 steps with 967 hours of Iceland... | [] |
HiDream-ai/HiDream-E1-Full | HiDream-ai | 2025-07-17T06:11:08Z | 153 | 209 | diffusers | [
"diffusers",
"safetensors",
"image-editing",
"HiDream.ai",
"any-to-any",
"en",
"arxiv:2505.22705",
"base_model:HiDream-ai/HiDream-I1-Full",
"base_model:finetune:HiDream-ai/HiDream-I1-Full",
"license:mit",
"diffusers:HiDreamImageEditingPipeline",
"region:us"
] | any-to-any | 2025-04-27T01:54:09Z | 
HiDream-E1 is an image editing model built on [HiDream-I1](https://github.com/HiDream-ai/HiDream-I1).
<!--  -->
<span style="color: #FF5733; font-weight: bold">For more features and to experience the full capabilities of our product, please visit [https://vivago.ai/](... | [] |
swiss-ai/Apertus-8B-Instruct-2509 | swiss-ai | 2026-04-21T09:39:52Z | 202,405 | 447 | transformers | [
"transformers",
"safetensors",
"apertus",
"text-generation",
"multilingual",
"compliant",
"swiss-ai",
"conversational",
"arxiv:2509.14233",
"base_model:swiss-ai/Apertus-8B-2509",
"base_model:finetune:swiss-ai/Apertus-8B-2509",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
... | text-generation | 2025-08-13T09:30:23Z | # Apertus
## Table of Contents
1. [Model Summary](#model-summary)
2. [How to use](#how-to-use)
3. [Evaluation](#evaluation)
4. [Training](#training)
5. [Limitations](#limitations)
6. [Legal Aspec... | [
{
"start": 2,
"end": 9,
"text": "Apertus",
"label": "benchmark name",
"score": 0.6226610541343689
},
{
"start": 359,
"end": 366,
"text": "Apertus",
"label": "benchmark name",
"score": 0.6424150466918945
}
] |
TheCluster/Qwen3.6-35B-A3B-Heretic-MLX-mixed-6.4bit | TheCluster | 2026-04-25T05:37:08Z | 2,496 | 3 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"heretic",
"uncensored",
"unrestricted",
"decensored",
"abliterated",
"6bit",
"mixed-precision",
"image-text-to-text",
"conversational",
"en",
"zh",
"ru",
"es",
"fr",
"it",
"ja",
"ko",
"af",
"de",
"ar",
"tr",
"is",
"pl",
"sw",
... | image-text-to-text | 2026-04-17T02:01:28Z | <div align="center"><img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3.6/logo.png"></div>
<div style="text-align:center; margin-bottom:12pt">If you like my work, you can <a href="https://donatr.ee/thecluster/">support me</a><br/></div>
# Qwen3.6-35B-A3B Heretic
**Quality**: quantized (***mi... | [] |
Qwen/Qwen3-VL-8B-Thinking | Qwen | 2025-11-26T13:18:14Z | 128,710 | 195 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-text-to-text | 2025-10-11T07:24:34Z | <a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
# Qwen3-VL-8B-Thinking
Meet Qwen3-VL — the most powerful vision-language model in ... | [] |
gss1147/Llama-3.2-OctoThinker-iNano-1B | gss1147 | 2026-03-24T21:20:09Z | 228 | 1 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-3.2",
"merge",
"slerp",
"reasoning",
"instruct",
"chat",
"coding",
"1b",
"gss1147",
"en",
"base_model:NeuraLakeAi/iSA-02-Nano-Llama-3.2-1B",
"base_model:merge:NeuraLakeAi/iSA-02-Nano-Llama-3.2-1B",
"base_model:OctoThin... | text-generation | 2026-03-24T16:51:34Z | # Llama-3.2-OctoThinker-iNano-1B
**Llama-3.2-OctoThinker-iNano-1B** is a compact 1B-parameter merged language model built from three Llama 3.2-based components:
- `NeuraLakeAi/iSA-02-Nano-Llama-3.2-1B`
- `OctoThinker/OctoThinker-1B-Hybrid-Base`
- `meta-llama/Llama-3.2-1B-Instruct`
This model was merged using the **S... | [] |
rinna/japanese-gpt2-small | rinna | 2025-03-23T10:45:51Z | 10,711 | 26 | transformers | [
"transformers",
"pytorch",
"tf",
"safetensors",
"gpt2",
"text-generation",
"lm",
"nlp",
"ja",
"dataset:cc100",
"dataset:wikipedia",
"arxiv:2404.01657",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | # japanese-gpt2-small
This repository provides a small-sized Japanese GPT-2 model. The model was trained using code from Github repository [rinnakk/japanese-pretrained-models](https://github.com/rinnakk/japanese-pretrained-models) by [rinna Co., Ltd.](https://corp.rinna.co.jp/)
# How to us... | [] |
bartowski/TheDrummer_Precog-24B-v1-GGUF | bartowski | 2025-11-13T11:07:58Z | 882 | 12 | null | [
"gguf",
"text-generation",
"base_model:TheDrummer/Precog-24B-v1",
"base_model:quantized:TheDrummer/Precog-24B-v1",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-11-13T09:40:20Z | ## Llamacpp imatrix Quantizations of Precog-24B-v1 by TheDrummer
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/b6907">b6907</a> for quantization.
Original model: https://huggingface.co/TheDrummer/Precog-24B-v1
All quants made ... | [] |
mradermacher/salamandra-2b-instruct-GGUF | mradermacher | 2025-02-13T14:47:06Z | 135 | 2 | transformers | [
"transformers",
"gguf",
"bg",
"ca",
"code",
"cs",
"cy",
"da",
"de",
"el",
"en",
"es",
"et",
"eu",
"fi",
"fr",
"ga",
"gl",
"hr",
"hu",
"it",
"lt",
"lv",
"mt",
"nl",
"nn",
"oc",
"pl",
"pt",
"ro",
"ru",
"sh",
"sk",
"sl",
"sr",
"sv",
"uk",
"datas... | null | 2025-02-13T12:51:05Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/BSC-LT/salamandra-2b-instruct
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mr... | [] |
RedHatAI/gemma-3-12b-it | RedHatAI | 2025-10-10T17:33:51Z | 164 | 1 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"conversational",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.00161",
"arxiv:2009.03300",
"arxiv:2304.06364",
"arxi... | image-text-to-text | 2025-10-10T17:31:10Z | # Gemma 3 model card
**Model Page**: [Gemma](https://ai.google.dev/gemma/docs/core)
**Resources and Technical Documentation**:
* [Gemma 3 Technical Report][g3-tech-report]
* [Responsible Generative AI Toolkit][rai-toolkit]
* [Gemma on Kaggle][kaggle-gemma]
* [Gemma on Vertex Model Garden][vertex-mg-gemma3]
**Terms ... | [] |
squ11z1/Hypnos-i1-8B | squ11z1 | 2025-12-22T00:14:45Z | 167 | 14 | transformers | [
"transformers",
"safetensors",
"gguf",
"llama",
"text-generation",
"reasoning",
"mathematics",
"logic",
"chain-of-thought",
"quantum",
"physics",
"llama-3",
"text-generation-inference",
"chatml",
"roleplaying",
"conversational",
"synthetic data",
"arxiv:2408.11857",
"en",
"data... | text-generation | 2025-11-22T13:30:27Z | # Hypnos i1-8B (Quantum-Informed Reasoning Model)
<div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/67329d3f69fded92d56ab41a/4FLhrQnRrN4HtQzD9OF9U.jpeg" width="80%" alt="Hypnos Header Image"/>
</div>
<br>
## 🌌 Model Overview
**Hypnos i1 8B** is a specialized reasoning model bas... | [
{
"start": 327,
"end": 340,
"text": "Nous Hermes 3",
"label": "benchmark name",
"score": 0.6587640643119812
}
] |
unsloth/granite-4.0-h-tiny | unsloth | 2025-10-07T06:44:06Z | 4,070 | 4 | transformers | [
"transformers",
"safetensors",
"granitemoehybrid",
"text-generation",
"language",
"unsloth",
"granite-4.0",
"conversational",
"arxiv:0000.00000",
"base_model:ibm-granite/granite-4.0-h-tiny",
"base_model:finetune:ibm-granite/granite-4.0-h-tiny",
"license:apache-2.0",
"endpoints_compatible",
... | text-generation | 2025-10-02T10:53:48Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/granite-40-68ddf64b4a8717dc22a9322d">our collection</a> for all versions of Granite-4.0 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to run Gr... | [
{
"start": 219,
"end": 223,
"text": "GGUF",
"label": "benchmark name",
"score": 0.7821614742279053
}
] |
DreamFast/gemma-3-12b-it-heretic-v2 | DreamFast | 2026-03-10T14:15:19Z | 4,711 | 15 | transformers | [
"transformers",
"safetensors",
"gguf",
"gemma3",
"image-text-to-text",
"abliteration",
"heretic",
"uncensored",
"gemma",
"ltx-2",
"comfyui",
"video-generation",
"text-encoder",
"nvfp4",
"blackwell",
"text-generation",
"conversational",
"en",
"base_model:google/gemma-3-12b-it",
... | text-generation | 2026-03-10T05:44:58Z | # Gemma 3 12B IT - Heretic v2 (Abliterated)
An abliterated version of [Google's Gemma 3 12B IT](https://huggingface.co/google/gemma-3-12b-it) created using [Heretic](https://github.com/p-e-w/heretic) v1.2.0. This model has reduced refusals while maintaining model quality, making it suitable as an uncensored text encod... | [] |
mradermacher/FinSenti-Qwen3-8B-GGUF | mradermacher | 2026-04-23T03:11:16Z | 702 | 1 | transformers | [
"transformers",
"gguf",
"finance",
"financial-sentiment",
"sentiment-analysis",
"chain-of-thought",
"reasoning",
"grpo",
"sft",
"lora",
"finsenti",
"en",
"dataset:Ayansk11/FinSenti-Dataset",
"base_model:Ayansk11/FinSenti-Qwen3-8B",
"base_model:adapter:Ayansk11/FinSenti-Qwen3-8B",
"lice... | null | 2026-04-10T22:55:12Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 361,
"end": 378,
"text": "FinSenti-Qwen3-8B",
"label": "benchmark name",
"score": 0.6653977036476135
},
{
"start": 515,
"end": 537,
"text": "FinSenti-Qwen3-8B-GGUF",
"label": "benchmark name",
"score": 0.7246761322021484
},
{
"start": 1233,
"end": 1... |
KnutJaegersberg/JoyAI-LLM-Flash-Q6_K-GGUF | KnutJaegersberg | 2026-02-16T11:45:40Z | 149 | 7 | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"zh",
"en",
"base_model:jdopensource/JoyAI-LLM-Flash",
"base_model:quantized:jdopensource/JoyAI-LLM-Flash",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-16T11:41:30Z | # KnutJaegersberg/JoyAI-LLM-Flash-Q6_K-GGUF
This model was converted to GGUF format from [`jdopensource/JoyAI-LLM-Flash`](https://huggingface.co/jdopensource/JoyAI-LLM-Flash) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](h... | [] |
BlueNipples/SnowLotus-v2-10.7B | BlueNipples | 2025-01-30T09:13:08Z | 758 | 5 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"Roleplay",
"Solar",
"Mistral",
"Text Generation",
"merge",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-01-17T04:35:45Z | 
### Premise
So this is a basic slerp merge between a smart model and a good prose model. Prose and smarts. What we all want in an uncensored RP model right? I feel like Solar has untapped potent... | [] |
eousphoros/kappa-20b-131k | eousphoros | 2026-02-28T07:32:03Z | 489 | 14 | null | [
"safetensors",
"gpt_oss",
"mixture-of-experts",
"moe",
"long-context",
"fine-tuning",
"sft",
"persona",
"multi-turn",
"tool-calling",
"torchtitan",
"text-generation",
"conversational",
"en",
"license:other",
"region:us"
] | text-generation | 2026-02-24T09:50:06Z | # kappa_20b_131k
Part of the **persona series** — a set of experimental fine-tunes exploring personality-conditioned generation on a 20.9B MoE base.
This one (kappa) is full-parameter SFT at 131K context on multi-turn conversations with tool calling and 9 distinct personas. Built on [OpenAI's GPT-OSS 20B](https://git... | [] |
bartowski/LiquidAI_LFM2-8B-A1B-GGUF | bartowski | 2025-10-08T21:20:31Z | 1,485 | 8 | null | [
"gguf",
"text-generation",
"base_model:LiquidAI/LFM2-8B-A1B",
"base_model:quantized:LiquidAI/LFM2-8B-A1B",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-08T19:31:28Z | ## Llamacpp imatrix Quantizations of LFM2-8B-A1B by LiquidAI
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/b6714">b6714</a> for quantization.
Original model: https://huggingface.co/LiquidAI/LFM2-8B-A1B
All quants made using im... | [] |
baidu/ERNIE-4.5-0.3B-PT | baidu | 2025-08-29T06:48:30Z | 11,532 | 103 | transformers | [
"transformers",
"safetensors",
"ernie4_5",
"text-generation",
"ERNIE4.5",
"conversational",
"en",
"zh",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-06-28T06:11:42Z | <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... | [] |
mradermacher/Qwen3-Yoyo-V3-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-i1-GGUF | mradermacher | 2025-12-08T13:36:24Z | 100 | 2 | transformers | [
"transformers",
"gguf",
"programming",
"code generation",
"code",
"codeqwen",
"moe",
"coding",
"coder",
"qwen2",
"chat",
"qwen",
"qwen-coder",
"Qwen3-Coder-30B-A3B-Instruct",
"Qwen3-30B-A3B",
"mixture of experts",
"128 experts",
"8 active experts",
"1 million context",
"qwen3",... | null | 2025-10-07T04:51:21Z | ## 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_... | [] |
Magic-Decensored/Apriel-Nemotron-15b-Thinker-Magic_decensored-v2_MPOA-GGUF | Magic-Decensored | 2026-02-17T13:21:47Z | 224 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"text-generation",
"arxiv:2508.10948",
"base_model:MagicalAlchemist/Apriel-Nemotron-15b-Thinker-Magic_decensored-v2_MPOA",
"base_model:quantized:MagicalAlchemist/Apriel-Nemotron-15b-Thinker-Magic_decensored-v2_MPOA",
"... | text-generation | 2026-02-17T12:44:52Z | # This is a decensored version of [ServiceNow-AI/Apriel-Nemotron-15b-Thinker](https://huggingface.co/ServiceNow-AI/Apriel-Nemotron-15b-Thinker), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0
### ****Fix: Corrected tokenizer_config.json and Added jinja chat template****
<img src="https://i.imgur.com/MsF... | [
{
"start": 864,
"end": 878,
"text": "K/L Divergence",
"label": "evaluation metric",
"score": 0.7422959804534912
},
{
"start": 1142,
"end": 1155,
"text": "KL divergence",
"label": "evaluation metric",
"score": 0.8224740028381348
}
] |
mradermacher/Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking-GGUF | mradermacher | 2026-02-01T09:05:14Z | 437 | 2 | transformers | [
"transformers",
"gguf",
"uncensored",
"heretic",
"abliterated",
"unsloth",
"finetune",
"All use cases",
"bfloat16",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
... | null | 2026-02-01T08:53:47Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 552,
"end": 612,
"text": "Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking-GGUF",
"label": "benchmark name",
"score": 0.6398863792419434
}
] |
unsloth/Qwen2.5-Coder-0.5B | unsloth | 2024-11-12T02:32:30Z | 488 | 3 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"unsloth",
"code",
"qwen",
"qwen-coder",
"codeqwen",
"en",
"arxiv:2409.12186",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-Coder-0.5B",
"base_model:finetune:Qwen/Qwen2.5-Coder-0.5B",
"license:apache-2.0",
"text-generation-infe... | text-generation | 2024-11-12T00:56:36Z | # Finetune Llama 3.1, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing).
Also a [Qwen 2.5 conversational style notebook](https://colab.research.... | [] |
mradermacher/Wayfarer-2-12B-i1-GGUF | mradermacher | 2026-01-01T12:21:48Z | 433 | 2 | transformers | [
"transformers",
"gguf",
"text adventure",
"roleplay",
"en",
"base_model:LatitudeGames/Wayfarer-2-12B",
"base_model:quantized:LatitudeGames/Wayfarer-2-12B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-09T00:52:52Z | ## 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": 619,
"end": 641,
"text": "Wayfarer-2-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.7000254988670349
},
{
"start": 1195,
"end": 1217,
"text": "Wayfarer-2-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.6643658876419067
},
{
"start": 1369,
"... |
chenpyyy/UD-VLA_CALVIN_ABCD_D | chenpyyy | 2025-11-05T12:02:17Z | 239 | 1 | transformers | [
"transformers",
"safetensors",
"Emu3",
"robotics",
"arxiv:2511.01718",
"license:mit",
"endpoints_compatible",
"region:us"
] | robotics | 2025-10-03T14:37:50Z | # Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denoising Diffusion Process
This repository contains the UD-VLA checkpoint for the CALVIN ABCD->D benchmark.
Vision-language-action (VLA) models aim to understand natural language instructions and visual observations and to execute corresponding... | [] |
Helsinki-NLP/opus-mt-en-zh | Helsinki-NLP | 2023-08-16T11:31:42Z | 107,762 | 398 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"zh",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | translation | 2022-03-02T23:29:04Z | ### eng-zho
* source group: English
* target group: Chinese
* OPUS readme: [eng-zho](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zho/README.md)
* model: transformer
* source language(s): eng
* target language(s): cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant gan lzh lzh_Hans nan wuu yue yue... | [
{
"start": 1081,
"end": 1088,
"text": "eng-zho",
"label": "benchmark name",
"score": 0.6563825011253357
}
] |
mradermacher/finetuned-mistral-7b-Mistral-7B-Instruct-v0.2-slerp-i1-GGUF | mradermacher | 2026-01-08T07:00:21Z | 3,000 | 1 | transformers | [
"transformers",
"gguf",
"merge",
"mergekit",
"mistral",
"7b",
"lazymergekit",
"mistralai/Mistral-7B-Instruct-v0.2",
"Darklord23/finetuned-mistral-7b",
"en",
"base_model:MaziyarPanahi/finetuned-mistral-7b-Mistral-7B-Instruct-v0.2-slerp",
"base_model:quantized:MaziyarPanahi/finetuned-mistral-7b-... | null | 2026-01-08T03:56:54Z | ## 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_... | [] |
t-tech/T-pro-it-2.1-GGUF | t-tech | 2025-12-23T07:14:06Z | 1,283 | 8 | null | [
"gguf",
"llama-cpp",
"en",
"base_model:t-tech/T-pro-it-2.1",
"base_model:quantized:t-tech/T-pro-it-2.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-18T08:43:17Z | # T-pro-it-2.1-GGUF
**🚨 Users are advised to exercise caution and are responsible for any additional training and oversight required to ensure the model's responses meet acceptable ethical and safety standards. The responsibility for incorporating this model into industrial or commercial solutions lies entirely with ... | [] |
mradermacher/gemma-3-JP-EN-Translator-v1-4B-GGUF | mradermacher | 2025-08-12T07:41:40Z | 146 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"gemma3",
"en",
"ja",
"dataset:mpasila/ParallelFiction-Ja_En-1k-16k-Gemma-3-ShareGPT-Filtered",
"dataset:NilanE/ParallelFiction-Ja_En-100k",
"base_model:mpasila/gemma-3-JP-EN-Translator-v1-4B",
"base_model:quantized:mpasila/gemma-3-... | null | 2025-08-12T07:20:38Z | ## 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... | [] |
shennguyen/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-Q4_K_M-GGUF | shennguyen | 2026-04-22T20:16:15Z | 5,458 | 2 | transformers | [
"transformers",
"gguf",
"text-generation",
"reasoning",
"distillation",
"chain-of-thought",
"qwen",
"qwen3.6",
"mixture-of-experts",
"moe",
"lora",
"unsloth",
"abliterated",
"uncensored",
"llama-cpp",
"gguf-my-repo",
"en",
"base_model:huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opu... | text-generation | 2026-04-21T18:39:14Z | # shennguyen/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-Q4_K_M-GGUF
This model was converted to GGUF format from [`huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated`](https://huggingface.co/huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated) using llama.cpp via the ggml.ai's [GGUF-my-repo](... | [] |
mPLUG/GUI-Owl-1.5-4B-Instruct | mPLUG | 2026-02-26T07:26:42Z | 739 | 3 | null | [
"safetensors",
"qwen3_vl",
"arxiv:2602.16855",
"en",
"license:mit",
"region:us"
] | null | 2026-02-14T13:29:49Z | ## Introduction
<img src="https://github.com/X-PLUG/MobileAgent/blob/main/Mobile-Agent-v3.5/assets/gui_owl_15_logo.png?raw=true" width="80%"/>
GUI-Owl 1.5 is the next-generation native GUI agent model family built on Qwen3-VL. It supports multi-platform GUI automation across desktops, mobile devices, browsers, and mor... | [] |
bullerwins/Qwen3-VL-32B-Instruct-GGUF | bullerwins | 2025-10-30T17:09:47Z | 140 | 2 | transformers | [
"transformers",
"gguf",
"image-text-to-text",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-32B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-32B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational... | image-text-to-text | 2025-10-30T16:48:59Z | Usage:
`llama-server --model Qwen3-VL-32B-Instruct-Q8_0.gguf --ctx-size 32000 -ngl 99 --host 0.0.0.0 --port 5000 --mmproj Qwen3-VL-32B-Instruct.mmproj`
You need the latest [commit](https://github.com/ggml-org/llama.cpp/commit/d261223d24e97f2df50220e4a5b7f0adb69bba81) from llama.cpp
<a href="https://chat.qwenlm.ai/... | [] |
typhoon-ai/typhoon2-qwen2vl-7b-vision-instruct | typhoon-ai | 2025-03-31T10:36:06Z | 472 | 20 | transformers | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"text-generation",
"conversational",
"th",
"en",
"arxiv:2412.13702",
"base_model:Qwen/Qwen2-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2-VL-7B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | 2024-12-10T09:18:32Z | # **Typhoon2-Vision**
**Typhoon2-qwen2vl-7b-vision-instruct** is a Thai 🇹🇭 vision-language model designed to support both image and video inputs. While Qwen2-VL is built to handle both image and video processing tasks, Typhoon2-VL is specifically optimized for image-based applications.
For technical-report. please ... | [] |
OpenGVLab/InternVL3_5-1B-Pretrained | OpenGVLab | 2025-08-29T17:57:08Z | 261 | 1 | transformers | [
"transformers",
"safetensors",
"internvl_chat",
"feature-extraction",
"internvl",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"dataset:OpenGVLab/MMPR-Tiny",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2412.05271",
"arxiv:2411.1... | image-text-to-text | 2025-08-25T16:38:49Z | # InternVL3_5-1B-Pretrained
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[📜 InternVL2.5-MPO\]](https://hugging... | [] |
ACE-Step/acestep-v15-xl-turbo-diffusers | ACE-Step | 2026-05-01T09:36:31Z | 194 | 12 | diffusers | [
"diffusers",
"safetensors",
"acestep",
"audio",
"music",
"text-to-music",
"flow-matching",
"text-to-audio",
"base_model:ACE-Step/acestep-v15-xl-turbo",
"base_model:finetune:ACE-Step/acestep-v15-xl-turbo",
"license:mit",
"diffusers:AceStepPipeline",
"region:us"
] | text-to-audio | 2026-04-22T06:44:35Z | # ACE-Step v1.5 XL Turbo Diffusers
Diffusers-format checkpoint of [ACE-Step v1.5 XL Turbo](https://huggingface.co/ACE-Step/acestep-v15-xl-turbo) — the guidance-distilled 5B-parameter flow-matching DiT for text-to-music generation (`hidden_size=2560`, 32 layers, 32 heads; `encoder_hidden_size=2048` on the condition enc... | [] |
autoweeb/Qwen-Image-Edit-2509-Photo-to-Anime | autoweeb | 2025-11-11T23:55:01Z | 232,860 | 118 | diffusers | [
"diffusers",
"anime",
"lora",
"qwen",
"qwen-image",
"qwen-image-edit",
"qwen-image-edit-2509",
"manga",
"image-to-image",
"photo2anime",
"en",
"zh",
"base_model:Qwen/Qwen-Image-Edit-2509",
"base_model:adapter:Qwen/Qwen-Image-Edit-2509",
"license:mit",
"region:us"
] | image-to-image | 2025-11-07T22:57:05Z | # Qwen-Image-Edit-2509 Photo-to-Anime
Turns any photo into an anime image.
| Photo | Anime |
|---------|---------|
|<img src="https://huggingface.co/autoweeb/Qwen-Image-Edit-2509-Photo-to-Anime/resolve/main/examples/control_05.jpeg?download=true" width="300px" />|<img src="https://huggingface.co/autoweeb/Qwen-Image-E... | [] |
mrfakename/OpenF5-TTS-Base | mrfakename | 2025-05-17T15:38:54Z | 161 | 85 | f5-tts | [
"f5-tts",
"voice cloning",
"text-to-speech",
"en",
"license:apache-2.0",
"region:us"
] | text-to-speech | 2025-05-03T06:29:55Z | # OpenF5 TTS Base (Alpha)
OpenF5 TTS is an open-weight text-to-speech model with support for zero-shot voice cloning based on and trained with the [F5-TTS](https://github.com/SWivid/F5-TTS) framework.
The main difference from the original F5-TTS model is the license of the model. Due to the training data, the F5-TTS ... | [] |
microsoft/Dayhoff-170M-GR-1000 | microsoft | 2026-02-04T00:21:10Z | 324 | 2 | transformers | [
"transformers",
"safetensors",
"jamba",
"text-generation",
"protein-generation",
"custom_code",
"dataset:microsoft/Dayhoff",
"arxiv:2502.12479",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-04T00:21:00Z | # Model Card for Dayhoff
Dayhoff is an Atlas of both protein sequence data and generative language models — a centralized resource that brings together 3.34 billion protein sequences across 1.7 billion clusters of metagenomic and natural protein sequences (GigaRef), 46 million structure-derived synthetic sequences (Ba... | [] |
Jackrong/Qwen3.5-2B-Claude-4.6-Opus-Reasoning-Distilled-GGUF | Jackrong | 2026-03-15T11:41:29Z | 67,398 | 125 | null | [
"gguf",
"qwen3_5",
"unsloth",
"qwen",
"qwen3.5",
"qwen3.5-2B",
"reasoning",
"chain-of-thought",
"lora",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-03-03T03:42:22Z | # 🌟 Qwen3.5-2B-Claude-4.6-Opus-Reasoning-Distilled
## 📢 Announcement
> **Update:**
> This model has been **further enhanced with additional reasoning data distilled from Qwen3.5-27B**.
>
> The new training data introduces higher-quality reasoning trajectories across domains such as **science, instruction-following,... | [] |
ykarout/Qwen3.5-9B-NVFP4 | ykarout | 2026-03-05T18:09:49Z | 1,801 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"qwen3.5",
"qwen3.5-9b",
"modelopt",
"mixed-precision",
"nvfp4",
"fp4",
"vision-language",
"conversational",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-03-05T13:42:05Z | # Qwen3.5-9B-NVFP4
Quantized variant of **Qwen/Qwen3.5-9B** exported in unified Hugging Face checkpoint format.
## Quantization Details
This checkpoint corresponds to an **NVFP4 MLP-only** export profile:
- **MLP layers:** NVFP4
- **Non-MLP layers:** kept in higher precision (e.g. BF16)
- **KV cache:** left unquant... | [
{
"start": 2,
"end": 18,
"text": "Qwen3.5-9B-NVFP4",
"label": "benchmark name",
"score": 0.6585236191749573
},
{
"start": 750,
"end": 755,
"text": "65536",
"label": "evaluation metric",
"score": 0.6809844970703125
},
{
"start": 1044,
"end": 1060,
"text": "... |
AmanPriyanshu/gpt-oss-6.0b-specialized-all-pruned-moe-only-7-experts | AmanPriyanshu | 2025-08-13T02:04:27Z | 167 | 26 | null | [
"safetensors",
"gpt_oss",
"mixture-of-experts",
"moe",
"expert-pruning",
"gpt-oss",
"openai",
"reasoning",
"all",
"specialized",
"efficient",
"transformer",
"causal-lm",
"text-generation",
"pytorch",
"pruned-model",
"domain-specific",
"conversational",
"en",
"dataset:AmanPriyan... | text-generation | 2025-08-13T02:04:08Z | # All GPT-OSS Model (7 Experts)
**Project**: https://amanpriyanshu.github.io/GPT-OSS-MoE-ExpertFingerprinting/
<div align="center">
### 👥 Follow the Authors
**Aman Priyanshu**
[](https://www.linkedin.com/in/a... | [] |
mradermacher/prettybird_bce_basic_8B-GGUF | mradermacher | 2026-01-06T09:30:58Z | 1,813 | 2 | transformers | [
"transformers",
"gguf",
"agent",
"cicikuş",
"prettybird",
"bce",
"security",
"text-generation-inference",
"consciousness",
"conscious",
"llm",
"legal",
"chat",
"en",
"base_model:pthinc/prettybird_bce_basic_8B",
"base_model:quantized:pthinc/prettybird_bce_basic_8B",
"license:other",
... | null | 2026-01-06T03:20:57Z | ## 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... | [] |
WithinUsAI/Llama-Coyote.Coder-4B.gguf | WithinUsAI | 2026-05-02T03:47:02Z | 288 | 2 | null | [
"gguf",
"dataset:bigcode/the-stack",
"dataset:bigcode/the-stack-v2",
"dataset:bigcode/starcoderdata",
"dataset:bigcode/commitpack",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2026-04-21T08:40:53Z | Llama-Coyote.Coder-4B (GGUF)
📌 Model Overview
Model Name: WithinUsAI/Llama-Coyote.Coder-4B.gguf
Organization: Within Us AI
Model Type: Code LLM (Instruction-Tuned, Agentic-Oriented)
Parameter Size: 4B
Format: GGUF (quantized for local inference)
Primary Focus: Efficient coding + reasoning for local deployment
This ... | [] |
XLabs-AI/flux-RealismLora | XLabs-AI | 2024-08-22T10:19:23Z | 15,308 | 1,217 | diffusers | [
"diffusers",
"lora",
"Stable Diffusion",
"image-generation",
"Flux",
"text-to-image",
"en",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | 2024-08-06T21:12:23Z | 
[<img src="https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/light/join-our-discord-rev1.png?raw=true">](https://discord.gg/FHY2guThfy)
This repository provides a checkpoi... | [] |
mradermacher/Qwen3.5-4B-Claude-Opus-Reasoning-i1-GGUF | mradermacher | 2026-04-01T09:28:09Z | 3,341 | 2 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3_5",
"reasoning",
"distillation",
"claude-opus",
"tool-use",
"en",
"dataset:TeichAI/Claude-Opus-4.6-Reasoning-887x",
"dataset:TeichAI/Claude-Sonnet-4.6-Reasoning-1100x",
"dataset:TeichAI/claude-4.5-opus-high-reasoning-250x... | null | 2026-03-26T06:45:46Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 640,
"end": 680,
"text": "Qwen3.5-4B-Claude-Opus-Reasoning-i1-GGUF",
"label": "benchmark name",
"score": 0.711383581161499
},
{
"start": 754,
"end": 791,
"text": "Qwen3.5-4B-Claude-Opus-Reasoning-GGUF",
"label": "benchmark name",
"score": 0.7157382369041443
}... |
ByteDance/LatentSync-1.5 | ByteDance | 2025-06-12T15:14:55Z | 4,606 | 88 | torchgeo | [
"torchgeo",
"lipsync",
"video-editing",
"arxiv:2412.09262",
"arxiv:2307.04725",
"license:openrail++",
"region:us"
] | null | 2025-03-14T09:38:35Z | Paper: https://arxiv.org/abs/2412.09262
Code: https://github.com/bytedance/LatentSync
# What's new in LatentSync 1.5?
1. Add temporal layer: Our previous claim that the [temporal layer](https://arxiv.org/abs/2307.04725) severely impairs lip-sync accuracy was incorrect; the issue was actually caused by a bug in the c... | [] |
microsoft/skala-1.0 | microsoft | 2026-04-23T11:55:52Z | 6,020 | 5 | skala | [
"skala",
"chemistry",
"density-functional-theory",
"exchange-correlation-functional",
"computational-chemistry",
"quantum-chemistry",
"dataset:microsoft/msr-acc-tae25",
"arxiv:2506.14665",
"arxiv:2506.14492",
"arxiv:2406.11185",
"license:mit",
"region:us"
] | null | 2026-04-13T08:45:00Z | # Skala model
## Model details
In pursuit of the universal functional for density functional theory
(DFT), the OneDFT team from Microsoft Research AI for Science has
developed the Skala-1.0 exchange-correlation functional, as introduced
in [Accurate and scalable exchange-correlation with deep learning (arXiv v5),
Lui... | [] |
h34v7/Jackrong-Qwopus3.5-27B-v3-GGUF | h34v7 | 2026-04-08T10:47:41Z | 7,856 | 4 | null | [
"gguf",
"quantized",
"base_model:Jackrong/Qwopus3.5-27B-v3",
"base_model:quantized:Jackrong/Qwopus3.5-27B-v3",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-04-02T07:15:30Z | # Important Note
For IQ_KS DO NOT use mainline llama.cpp,ollama or anything that use mainline llama.cpp backend use ik_llama.cpp instead.
Q_K_M is fine thought.
Still uploading BTW!
Quantization using ik_llama.cpp [6ea7f32](https://github.com/ikawrakow/ik_llama.cpp)
Calibration data by [Bartowski](https://gist.g... | [] |
nasko71/LLaVA-v1.5-7B-Plant-Leaf-Diseases-Detection-Q4_K_M-GGUF | nasko71 | 2025-06-11T15:27:23Z | 121 | 1 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"image-text-to-text",
"base_model:YuchengShi/LLaVA-v1.5-7B-Plant-Leaf-Diseases-Detection",
"base_model:quantized:YuchengShi/LLaVA-v1.5-7B-Plant-Leaf-Diseases-Detection",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-06-11T15:27:04Z | # nasko71/LLaVA-v1.5-7B-Plant-Leaf-Diseases-Detection-Q4_K_M-GGUF
This model was converted to GGUF format from [`YuchengShi/LLaVA-v1.5-7B-Plant-Leaf-Diseases-Detection`](https://huggingface.co/YuchengShi/LLaVA-v1.5-7B-Plant-Leaf-Diseases-Detection) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co... | [] |
mistralai/Mamba-Codestral-7B-v0.1 | mistralai | 2025-07-24T16:47:01Z | 30,856 | 613 | vllm | [
"vllm",
"safetensors",
"mistral-common",
"license:apache-2.0",
"region:us"
] | null | 2024-07-16T10:10:56Z | # Model Card for Mamba-Codestral-7B-v0.1
Codestral Mamba is an open code model based on the Mamba2 architecture. It performs on par with state-of-the-art Transformer-based code models. \
You can read more in the [official blog post](https://mistral.ai/news/codestral-mamba/).
## Installation
It is recommended to use... | [
{
"start": 17,
"end": 40,
"text": "Mamba-Codestral-7B-v0.1",
"label": "benchmark name",
"score": 0.7529762983322144
},
{
"start": 786,
"end": 809,
"text": "Mamba-Codestral-7B-v0.1",
"label": "benchmark name",
"score": 0.6692370772361755
},
{
"start": 905,
"end... |
mradermacher/Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY-i1-GGUF | mradermacher | 2026-01-28T18:00:10Z | 300 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:win10/Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY",
"base_model:quantized:win10/Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2026-01-28T13:59:14Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 644,
"end": 698,
"text": "Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY-i1-GGUF",
"label": "benchmark name",
"score": 0.7273442149162292
},
{
"start": 772,
"end": 823,
"text": "Huihui-GLM-4.7-Flash-abliterated-60B_DEPTHONLY-GGUF",
"label": "benchmark name",
"s... |
internlm/internlm-7b | internlm | 2024-07-03T06:26:23Z | 1,289 | 96 | transformers | [
"transformers",
"pytorch",
"internlm",
"feature-extraction",
"text-generation",
"custom_code",
"region:us"
] | text-generation | 2023-07-06T01:37:10Z | # InternLM
<div align="center">
<img src="https://github.com/InternLM/InternLM/assets/22529082/b9788105-8892-4398-8b47-b513a292378e" width="200"/>
<div> </div>
<div align="center">
<b><font size="5">InternLM</font></b>
<sup>
<a href="https://internlm.intern-ai.org.cn/">
<i><font size="... | [] |
mradermacher/Midnight-Miqu-70B-v1.5-GGUF | mradermacher | 2024-12-04T13:49:07Z | 3,752 | 20 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:sophosympatheia/Midnight-Miqu-70B-v1.5",
"base_model:quantized:sophosympatheia/Midnight-Miqu-70B-v1.5",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-12-04T10:36:28Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
static quants of https://huggingface.co/sophosympatheia/Midnight-Miqu-70B-v1.5
<!-- provided-files -->
weighted/imatrix quants are available at https://... | [] |
vidore/colqwen2.5-v0.2 | vidore | 2025-06-16T12:04:42Z | 74,618 | 98 | colpali | [
"colpali",
"safetensors",
"vidore",
"vidore-experimental",
"visual-document-retrieval",
"en",
"arxiv:2004.12832",
"arxiv:2407.01449",
"arxiv:2106.09685",
"base_model:vidore/colqwen2.5-base",
"base_model:finetune:vidore/colqwen2.5-base",
"license:mit",
"region:us"
] | visual-document-retrieval | 2025-01-31T13:26:42Z | # ColQwen2.5: Visual Retriever based on Qwen2.5-VL-3B-Instruct with ColBERT strategy
ColQwen 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 [Qwen2.5-VL-3B](https://huggingface.co/Qwen/Qwen2.5... | [] |
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