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 |
|---|---|---|---|---|---|---|---|---|---|---|
vidore/colqwen2-v1.0 | vidore | 2025-06-05T17:06:02Z | 42,245 | 116 | colpali | [
"colpali",
"safetensors",
"vidore-experimental",
"vidore",
"visual-document-retrieval",
"en",
"arxiv:2004.12832",
"arxiv:2407.01449",
"arxiv:2106.09685",
"base_model:vidore/colqwen2-base",
"base_model:finetune:vidore/colqwen2-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"... | visual-document-retrieval | 2024-11-03T15:12:07Z | # ColQwen2: Visual Retriever based on Qwen2-VL-2B-Instruct with ColBERT strategy
### This is the base version trained with batch_size 256 instead of 32 for 5 epoch and with the updated pad token
ColQwen2 is a model based on a novel model architecture and training strategy based on Vision Language Models (VLMs) to eff... | [] |
SeaLLMs/SeaLLMs-v3-7B-Chat | SeaLLMs | 2024-09-02T03:02:23Z | 1,847 | 71 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"sea",
"multilingual",
"conversational",
"en",
"zh",
"id",
"vi",
"th",
"ms",
"tl",
"ta",
"jv",
"lo",
"km",
"my",
"arxiv:2407.19672",
"arxiv:2306.05179",
"license:other",
"text-generation-inference",
"endpoints_c... | text-generation | 2024-07-03T03:02:02Z | # *SeaLLMs-v3* - Large Language Models for Southeast Asia
<p align="center">
<a href="https://damo-nlp-sg.github.io/SeaLLMs/" target="_blank" rel="noopener">Website</a>
<a href="https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B-Chat" target="_blank" rel="noopener">Model</a>
<a href="https://huggin... | [] |
Pectics/vad-macbert | Pectics | 2026-01-22T17:55:34Z | 121 | 1 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"agent",
"nlp",
"chinese",
"sentiment-analysis",
"emotion",
"regression",
"vad",
"valence-arousal-dominance",
"macbert",
"zh",
"dataset:Helsinki-NLP/open_subtitles",
"base_model:hfl/chinese-macbert-base",
"base_model:finet... | text-classification | 2026-01-22T14:05:02Z | <div align="center">
<h1>vad-macbert</h1>
<p>Chinese VAD (valence/arousal/dominance) regression on top of chinese-macbert-base.</p>
<p>
<a href="https://huggingface.co/Pectics/vad-macbert">
<img alt="HF Model" src="https://img.shields.io/badge/Hugging%20Face-Model-yellow">
</a>
<img alt="Task" s... | [] |
IQuestLab/IQuest-Coder-V1-14B-Instruct | IQuestLab | 2026-03-04T12:44:13Z | 228 | 12 | transformers | [
"transformers",
"safetensors",
"iquestcoder",
"text-generation",
"conversational",
"custom_code",
"en",
"arxiv:2512.13472",
"arxiv:2512.23611",
"arxiv:2512.22087",
"license:other",
"region:us"
] | text-generation | 2026-02-14T13:31:28Z | 
<p align="center">
📘 <a href="https://iquestlab.github.io">Blog (2026-01-01)</a >
•
📘 <a href="https://iquestlab.github.io/release-1.0-2603/index.html">Blog (2026-03-02)</a >
•
📄 <a href="https://github.com/IQuestLab/IQuest-C... | [] |
DunnBC22/trocr-base-printed_license_plates_ocr | DunnBC22 | 2026-04-03T02:02:45Z | 558 | 11 | transformers | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"image-text-to-text",
"generated_from_trainer",
"image-to-text",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-to-text | 2023-01-14T21:15:31Z | # trocr-base-printed_license_plates_ocr
This model is a fine-tuned version of [microsoft/trocr-base-printed](https://huggingface.co/microsoft/trocr-base-printed).
It achieves the following results on the evaluation set:
- Loss: 0.1581
- CER: 0.0368
## Model description
This model extracts text from image input (Lic... | [
{
"start": 239,
"end": 242,
"text": "CER",
"label": "evaluation metric",
"score": 0.9469236135482788
},
{
"start": 1305,
"end": 1308,
"text": "CER",
"label": "evaluation metric",
"score": 0.9412822127342224
}
] |
mradermacher/Llama-3.1-8B-Instruct-heretic-i1-GGUF | mradermacher | 2026-03-26T23:35:14Z | 24,177 | 2 | transformers | [
"transformers",
"gguf",
"facebook",
"unsloth",
"meta",
"pytorch",
"llama",
"llama-3",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"base_model:p-e-w/Llama-3.1-8B-Instruct-heretic",
"base_model:quantized:p-e-w/Llama-3.... | null | 2025-11-03T13:06:34Z | ## 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_... | [] |
mlx-community/Qwen3.5-27B-Claude-4.6-Opus-Distilled-MLX-4bit | mlx-community | 2026-03-06T02:44:20Z | 26,051 | 59 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"reasoning",
"distilled",
"qwen",
"qwen3.5",
"apple-silicon",
"chain-of-thought",
"claude-4.6-opus",
"mlx-community",
"en",
"zh",
"base_model:Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled",
"base_model:quantized:Jackrong/Qwen3.5-27B-Claude-4.6-... | null | 2026-03-04T02:02:20Z | # Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-4bit-MLX
Quantized by [BeastCode](https://huggingface.co/BeastCode)
A high-performance **4-bit MLX quantization** of [Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled](https://huggingface.co/Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled). Specifical... | [
{
"start": 1512,
"end": 1525,
"text": "mlx-lm 0.30.7",
"label": "evaluation metric",
"score": 0.6727890968322754
}
] |
z-lab/Qwen3.5-27B-DFlash | z-lab | 2026-04-07T14:28:15Z | 700 | 15 | transformers | [
"transformers",
"safetensors",
"qwen3",
"feature-extraction",
"dflash",
"speculative-decoding",
"diffusion",
"efficiency",
"flash-decoding",
"qwen",
"diffusion-language-model",
"text-generation",
"custom_code",
"arxiv:2602.06036",
"license:mit",
"text-generation-inference",
"endpoint... | text-generation | 2026-03-14T20:04:41Z | # Qwen3.5-27B-DFlash
[**Paper**](https://arxiv.org/abs/2602.06036) | [**GitHub**](https://github.com/z-lab/dflash) | [**Blog**](https://z-lab.ai/projects/dflash/)
**DFlash** is a novel speculative decoding method that utilizes a lightweight **block diffusion** model for drafting. It enables efficient, high-quality par... | [] |
mradermacher/Hermes-4-14B-BF16-abliterated-GGUF | mradermacher | 2025-09-16T13:02:38Z | 1,460 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:n0kovo/Hermes-4-14B-BF16-abliterated",
"base_model:quantized:n0kovo/Hermes-4-14B-BF16-abliterated",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-16T09:01:31Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
microsoft/Phi-4-reasoning-plus | microsoft | 2025-11-24T17:47:12Z | 19,330 | 336 | transformers | [
"transformers",
"safetensors",
"phi3",
"text-generation",
"phi",
"nlp",
"math",
"code",
"chat",
"conversational",
"reasoning",
"en",
"arxiv:2504.21318",
"base_model:microsoft/phi-4",
"base_model:finetune:microsoft/phi-4",
"license:mit",
"text-generation-inference",
"endpoints_compa... | text-generation | 2025-04-17T20:51:32Z | # Phi-4-reasoning-plus Model Card
[Phi-4-reasoning Technical Report](https://huggingface.co/papers/2504.21318)
## Model Summary
| | |
|-------------------------|-------------------------------------------------... | [] |
EarthnDusk/Loras_2023 | EarthnDusk | 2025-02-17T05:51:56Z | 3,214 | 5 | diffusers | [
"diffusers",
"lora",
"stable diffusion",
"stable diffusion lora",
"anime",
"text-to-image",
"en",
"dataset:EarthnDusk/Creative-Embeddings",
"dataset:fka/awesome-chatgpt-prompts",
"dataset:Duskfallcrew/FFXIV_Data_and_Lora",
"dataset:Nerfgun3/bad_prompt",
"dataset:EarthnDusk/Embeddings",
"base... | text-to-image | 2023-09-28T02:57:55Z | # Lora Backups
---
Please donate here: https://ko-fi.com/duskfallcrew/
Some of these are not ON a generative website but may be in future, if you like what we do please support!
Earth & Dusk Media Discords:
https://discord.gg/HhBSvM9gBY
https://discord.gg/5t2kYxt7An
- If you're REALLY hard out go here: http... | [] |
Qwen/Qwen2-1.5B-Instruct-GGUF | Qwen | 2024-06-18T03:24:58Z | 17,452 | 28 | null | [
"gguf",
"chat",
"instruct",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-06-07T00:30:08Z | # Qwen2-1.5B-Instruct-GGUF
## Introduction
Qwen2 is the new series of Qwen large language models. For Qwen2, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters, including a Mixture-of-Experts model. This repo contains the instruction-tuned 1.5B ... | [
{
"start": 45,
"end": 50,
"text": "Qwen2",
"label": "benchmark name",
"score": 0.8504531383514404
},
{
"start": 104,
"end": 109,
"text": "Qwen2",
"label": "benchmark name",
"score": 0.8270273804664612
},
{
"start": 320,
"end": 325,
"text": "Qwen2",
"la... |
lmstudio-community/LFM2.5-1.2B-Instruct-MLX-8bit | lmstudio-community | 2026-01-07T21:02:02Z | 207,518 | 2 | transformers | [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"liquid",
"lfm2.5",
"edge",
"mlx",
"conversational",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:LiquidAI/LFM2.5-1.2B-Instruct",
"base_model:quantized:LiquidAI/LFM2.5-1.2B-Instruct",
"license:other",
"e... | text-generation | 2026-01-07T21:01:51Z | ## 💫 Community Model> LFM2.5-1.2B-Instruct by LiquidAI
_👾 [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**: [LiquidAI](https://huggingface.co/LiquidAI)<br... | [] |
BennyDaBall/qwen3-4b-Z-Image-Engineer-V2-6bit-MLX | BennyDaBall | 2025-12-19T05:11:47Z | 653 | 7 | mlx | [
"mlx",
"safetensors",
"qwen3",
"z-image-turbo",
"prompt-engineering",
"heretic",
"prompt-enhancer",
"license:apache-2.0",
"6-bit",
"region:us"
] | null | 2025-12-18T19:18:12Z | # Qwen3-4B-Z-Image-Engineer-V2 (MLX 6-bit): The "Z-Engineer" Returns
## 🚀 Version 2: Now With More "Locally Sourced" Intelligence (and optimized for Apple Silicon)
Welcome to **Z-Engineer V2**, the significantly upgraded, locally-grown, and still slightly rebellious solution to automated prompt engineering.
I... | [] |
BytedanceDouyinContent/SAIL-VL2-8B | BytedanceDouyinContent | 2025-09-18T08:54:08Z | 760 | 13 | null | [
"safetensors",
"sailvl",
"custom_code",
"arxiv:2509.14033",
"arxiv:2501.05952",
"license:apache-2.0",
"region:us"
] | null | 2025-09-11T05:13:18Z | # SAIL-VL2
<div align="center">
<img src="assets/logo/logo_with_name.jpeg" width="80%" alt="SAIL-VL2 Logo">
</div>
<font size=3><div align='center' >
[[📖 Technique Report](https://arxiv.org/abs/2509.14033)]
[[🤗 SAIL-VL2-2B](https://huggingface.co/BytedanceDouyinContent/SAIL-VL2-2B)]
[[🤗 SAIL-VL2-8B](https://h... | [] |
tiiuae/Falcon-H1-Tiny-Coder-90M-GGUF | tiiuae | 2026-01-15T19:54:55Z | 417 | 14 | transformers | [
"transformers",
"gguf",
"falcon-h1",
"edge",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2026-01-13T06:53:19Z | <img src="https://cdn-uploads.huggingface.co/production/uploads/62441d1d9fdefb55a0b7d12c/l1du02RjuAZJcksI5tQ-F.png" alt="drawing" width="800"/>
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Training Details](#training-details)
3. [Usage](#usage)
4. [Evaluation](#evaluation)
5. [Citati... | [] |
bartowski/Qwen2.5-Coder-14B-Instruct-abliterated-GGUF | bartowski | 2024-11-14T00:49:30Z | 11,639 | 27 | null | [
"gguf",
"code",
"codeqwen",
"chat",
"qwen",
"qwen-coder",
"abliterated",
"uncensored",
"text-generation",
"en",
"base_model:huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated",
"base_model:quantized:huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated",
"license:apache-2.0",
"endpoints_compatibl... | text-generation | 2024-11-13T21:50:00Z | ## Llamacpp imatrix Quantizations of Qwen2.5-Coder-14B-Instruct-abliterated
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4058">b4058</a> for quantization.
Original model: https://huggingface.co/huihui-ai/Qwen2.5-Coder-14B-I... | [] |
mradermacher/Qwen3-VL-30B-A3B-Thinking-abliterated-v1-i1-GGUF | mradermacher | 2025-12-06T06:10:28Z | 160 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"abliterated",
"v1.0",
"en",
"base_model:prithivMLmods/Qwen3-VL-30B-A3B-Thinking-abliterated-v1",
"base_model:quantized:prithivMLmods/Qwen3-VL-30B-A3B-Thinking-abliterated-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imat... | null | 2025-11-14T23:25:53Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 646,
"end": 694,
"text": "Qwen3-VL-30B-A3B-Thinking-abliterated-v1-i1-GGUF",
"label": "benchmark name",
"score": 0.6185440421104431
},
{
"start": 935,
"end": 980,
"text": "Qwen3-VL-30B-A3B-Thinking-abliterated-v1-GGUF",
"label": "benchmark name",
"score": 0.606... |
mradermacher/Darwin-36B-Opus-ABLITERATED-HERETIC-i1-GGUF | mradermacher | 2026-04-30T14:04:52Z | 5,274 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Guilherme34/Darwin-36B-Opus-ABLITERATED-HERETIC",
"base_model:quantized:Guilherme34/Darwin-36B-Opus-ABLITERATED-HERETIC",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-04-27T14:06:04Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 467,
"end": 502,
"text": "Darwin-36B-Opus-ABLITERATED-HERETIC",
"label": "benchmark name",
"score": 0.6401069760322571
},
{
"start": 639,
"end": 682,
"text": "Darwin-36B-Opus-ABLITERATED-HERETIC-i1-GGUF",
"label": "benchmark name",
"score": 0.685563862323761
... |
HuggingFaceTB/SmolLM-135M | HuggingFaceTB | 2024-08-01T20:12:34Z | 184,019 | 255 | transformers | [
"transformers",
"onnx",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:HuggingFaceTB/smollm-corpus",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-07-14T21:45:18Z | # SmolLM
<center>
<img src="https://huggingface.co/datasets/HuggingFaceTB/images/resolve/main/banner_smol.png" alt="SmolLM" width="1100" height="600">
</center>
## Table of Contents
1. [Model Summary](##model-summary)
2. [Limitations](##limitations)
3. [Training](##training)
4. [License](##license)
5. [Citation... | [
{
"start": 2,
"end": 8,
"text": "SmolLM",
"label": "benchmark name",
"score": 0.6787620186805725
},
{
"start": 121,
"end": 127,
"text": "SmolLM",
"label": "benchmark name",
"score": 0.7448546290397644
},
{
"start": 353,
"end": 359,
"text": "SmolLM",
"l... |
nvidia/stormscope-goes-mrms | nvidia | 2026-03-05T17:47:32Z | 170 | 25 | null | [
"license:other",
"region:us"
] | null | 2026-01-14T22:44:29Z | # Earth-2 Checkpoints: StormScope-GOES-MRMS
## Description:
StormScope is a mesoscale weather AI model that autoregressively predicts GOES (satellite) and MRMS (radar) variables.
The model can make predictions at multiple spatiotemporal resolutions, and the [HRRR](https://rapidrefresh.noaa.gov/hrrr/) model grid is us... | [] |
dphn/Dolphin3.0-Qwen2.5-3b | dphn | 2025-01-05T17:17:06Z | 725 | 30 | null | [
"safetensors",
"qwen2",
"en",
"dataset:OpenCoder-LLM/opc-sft-stage1",
"dataset:OpenCoder-LLM/opc-sft-stage2",
"dataset:microsoft/orca-agentinstruct-1M-v1",
"dataset:microsoft/orca-math-word-problems-200k",
"dataset:NousResearch/hermes-function-calling-v1",
"dataset:AI-MO/NuminaMath-CoT",
"dataset:... | null | 2025-01-03T03:25:38Z | # Dolphin 3.0 Qwen 2.5 3B 🐬
Part of the [Dolphin 3.0 Collection](https://huggingface.co/collections/cognitivecomputations/dolphin-30-677ab47f73d7ff66743979a3)
Curated and trained by [Eric Hartford](https://huggingface.co/ehartford), [Ben Gitter](https://huggingface.co/bigstorm), [BlouseJury](https://huggingface.co/Bl... | [] |
mradermacher/Qwen3.5-4B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-GGUF | mradermacher | 2026-03-15T15:35:40Z | 2,494 | 4 | transformers | [
"transformers",
"gguf",
"unsloth",
"heretic",
"uncensored",
"abliterated",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
... | null | 2026-03-15T13:56:04Z | ## 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": 360,
"end": 426,
"text": "Qwen3.5-4B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING",
"label": "benchmark name",
"score": 0.6213557124137878
},
{
"start": 563,
"end": 634,
"text": "Qwen3.5-4B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-GGUF",
"... |
VibeStudio/MiniMax-M2-THRIFT | VibeStudio | 2025-11-13T17:04:49Z | 1,736 | 35 | null | [
"safetensors",
"minimax",
"moe",
"bfloat16",
"sglang",
"gguf",
"custom_code",
"dataset:nick007x/github-code-2025",
"dataset:tatsu-lab/alpaca",
"arxiv:2511.01354",
"arxiv:2510.13999",
"arxiv:2503.04992",
"arxiv:2503.09657",
"arxiv:2310.06694",
"arxiv:2305.11627",
"arxiv:2306.11695",
"... | null | 2025-11-05T08:46:36Z | 
# THRIFT — Targeted Reduction for Inference and Fine-Tuning
A performance-optimized variant of the base model that delivers faster responses and lower memory usage while preserving quality for everyday tasks, d... | [
{
"start": 1568,
"end": 1571,
"text": "QPS",
"label": "evaluation metric",
"score": 0.6160038709640503
}
] |
bigcode/starcoder2-7b | bigcode | 2024-06-11T08:15:50Z | 17,286 | 212 | transformers | [
"transformers",
"safetensors",
"starcoder2",
"text-generation",
"code",
"dataset:bigcode/the-stack-v2-train",
"arxiv:2305.13245",
"arxiv:2205.14135",
"arxiv:2004.05150",
"arxiv:2207.14255",
"arxiv:2402.19173",
"license:bigcode-openrail-m",
"model-index",
"text-generation-inference",
"end... | text-generation | 2024-02-20T18:00:27Z | # StarCoder2
<center>
<img src="https://huggingface.co/datasets/bigcode/admin_private/resolve/main/starcoder2_banner.png" alt="SC2" width="900" height="600">
</center>
## Table of Contents
1. [Model Summary](##model-summary)
2. [Use](##use)
3. [Limitations](##limitations)
4. [Training](##training)
5. [License](... | [] |
dbmdz/bert-base-turkish-cased | dbmdz | 2025-06-12T13:11:08Z | 28,761 | 166 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"tr",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05Z | # 🤗 + 📚 dbmdz Turkish BERT model
In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State
Library open sources a cased model for Turkish 🎉
# 🇹🇷 BERTurk
BERTurk is a community-driven cased BERT model for Turkish.
Some datasets used for pretraining and evaluation are contributed from the
awe... | [] |
urchade/gliner_multi-v2.1 | urchade | 2025-12-08T01:16:10Z | 14,942 | 155 | gliner | [
"gliner",
"pytorch",
"safetensors",
"token-classification",
"multilingual",
"dataset:urchade/pile-mistral-v0.1",
"arxiv:2311.08526",
"license:apache-2.0",
"region:us"
] | token-classification | 2024-04-09T20:38:45Z | # About
GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexibilit... | [] |
N8Programs/Unslopper-GGUF | N8Programs | 2026-01-19T16:29:47Z | 380 | 15 | null | [
"gguf",
"dataset:N8Programs/unslop-good",
"base_model:Qwen/Qwen3-VL-30B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-30B-A3B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-15T04:40:25Z | # Unslopper-30B-A3B
## Model Description
**Unslopper-30B-A3B** is a fine-tuned language model designed to transform AI-generated text into more human-like prose while preserving semantic content. The model takes passages exhibiting typical AI writing patterns and rewrites them to sound more natural, varied, and authe... | [] |
huihui-ai/Huihui-MoE-1B-A0.6B | huihui-ai | 2025-06-16T03:37:56Z | 233 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"moe",
"conversational",
"base_model:Qwen/Qwen3-0.6B",
"base_model:finetune:Qwen/Qwen3-0.6B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-06-11T07:05:15Z | # huihui-ai/Huihui-MoE-1B-A0.6B
## Model Overview
Huihui-MoE-1B-A0.6B is a **Mixture of Experts (MoE)** language model developed by **huihui.ai**, built upon the **[Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B)** base model. It enhances the standard Transformer architecture by replacing MLP layers with MoE ... | [] |
microsoft/deberta-xlarge-mnli | microsoft | 2022-06-27T15:47:33Z | 476,556 | 23 | transformers | [
"transformers",
"pytorch",
"tf",
"deberta",
"text-classification",
"deberta-v1",
"deberta-mnli",
"en",
"arxiv:2006.03654",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ## DeBERTa: Decoding-enhanced BERT with Disentangled Attention
[DeBERTa](https://arxiv.org/abs/2006.03654) improves the BERT and RoBERTa models using disentangled attention and enhanced mask decoder. It outperforms BERT and RoBERTa on majority of NLU tasks with 80GB training data.
Please check the [official reposit... | [
{
"start": 3,
"end": 10,
"text": "DeBERTa",
"label": "benchmark name",
"score": 0.9105905890464783
},
{
"start": 65,
"end": 72,
"text": "DeBERTa",
"label": "benchmark name",
"score": 0.885552167892456
},
{
"start": 130,
"end": 137,
"text": "RoBERTa",
"... |
openbmb/MiniCPM4.1-8B | openbmb | 2025-10-24T08:33:54Z | 37,218 | 384 | transformers | [
"transformers",
"safetensors",
"minicpm",
"text-generation",
"conversational",
"custom_code",
"zh",
"en",
"arxiv:2506.07900",
"arxiv:2509.24663",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-09-02T07:14:25Z | <div align="center">
<img src="https://github.com/OpenBMB/MiniCPM/blob/main/assets/minicpm_logo.png?raw=true" width="500em" ></img>
</div>
<p align="center">
<a href="https://github.com/OpenBMB/MiniCPM/" target="_blank">GitHub Repo</a> |
<a href="https://arxiv.org/abs/2506.07900" target="_blank">Technical Report</a> ... | [] |
NexaAI/Qwen3-VL-4B-Thinking-GGUF | NexaAI | 2025-10-27T19:13:28Z | 131 | 7 | null | [
"gguf",
"image-text-to-text",
"base_model:Qwen/Qwen3-VL-4B-Thinking",
"base_model:quantized:Qwen/Qwen3-VL-4B-Thinking",
"region:us"
] | image-text-to-text | 2025-10-14T05:28:27Z | # Qwen3-VL-4B-Thinking
> [!NOTE]
> Note currently only [NexaSDK](https://github.com/NexaAI/nexa-sdk) supports this model's GGUF.
Run **Qwen3-VL-4B-Thinking** optimized for CPU/GPU with [NexaSDK](https://github.com/NexaAI/nexa-sdk).
## Quickstart
1. **Install [NexaSDK](https://github.com/NexaAI/nexa-sdk)**
2. Run ... | [] |
bartowski/Palmyra-Med-70B-32K-GGUF | bartowski | 2024-08-05T19:11:54Z | 104 | 4 | null | [
"gguf",
"instruct",
"finetune",
"DPO",
"distillation",
"heathcare",
"medical",
"clinical",
"med",
"lifescience",
"Pharmaceutical",
"Pharma",
"Enterprise LLM",
"Enterprise",
"Enterprise ready",
"text-generation",
"en",
"base_model:Writer/Palmyra-Med-70B-32K",
"base_model:quantized... | text-generation | 2024-08-02T13:49:02Z | ## Llamacpp imatrix Quantizations of Palmyra-Med-70B-32K
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3496">b3496</a> for quantization.
Original model: https://huggingface.co/Writer/Palmyra-Med-70B-32K
All quants made usin... | [] |
onnx-community/functiongemma-270m-it-ONNX | onnx-community | 2026-01-14T14:51:47Z | 133 | 8 | transformers.js | [
"transformers.js",
"onnx",
"gemma3_text",
"text-generation",
"conversational",
"base_model:google/functiongemma-270m-it",
"base_model:quantized:google/functiongemma-270m-it",
"license:gemma",
"region:us"
] | text-generation | 2025-12-17T20:27:56Z | # FunctionGemma model card
**Model Page**: [FunctionGemma](https://ai.google.dev/gemma/docs/functiongemma)
**Resources and Technical Documentation**:
- [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)
- [FunctionGemma on Kaggle](https://www.kaggle.com/models/google/functiongemma/)
- [Func... | [] |
alunadiderot/setfit-e5-base-category-classifier_v2 | alunadiderot | 2025-08-21T15:00:30Z | 10,268 | 1 | setfit | [
"setfit",
"safetensors",
"xlm-roberta",
"sentence-transformers",
"text-classification",
"generated_from_setfit_trainer",
"arxiv:2209.11055",
"base_model:intfloat/multilingual-e5-base",
"base_model:finetune:intfloat/multilingual-e5-base",
"model-index",
"text-embeddings-inference",
"endpoints_c... | text-classification | 2025-08-21T14:59:34Z | # SetFit with intfloat/multilingual-e5-base
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) as the Sentence Transformer embedding model. A [LogisticRegr... | [] |
Darkhn/Magistral-2509-24B-Text-Only | Darkhn | 2025-09-26T14:40:55Z | 219 | 11 | null | [
"safetensors",
"mistral",
"magistral",
"reasoning",
"chat",
"text-only",
"base_model:mistralai/Magistral-Small-2509",
"base_model:finetune:mistralai/Magistral-Small-2509",
"license:apache-2.0",
"region:us"
] | null | 2025-09-22T21:36:21Z | <style>
body {
font-family: 'Quicksand', sans-serif;
/* Replaced purple gradient with a warm, fiery one */
background: linear-gradient(135deg, #4a1e00 0%, #1c0a00 100%);
/* Changed text color to a warmer, parchment-like off-white */
color: #F5EFE6;
margin: 0;
padding: 0;
font-size: 16px;
}
h1, h2, h3, ... | [] |
NousResearch/DeepHermes-3-Llama-3-3B-Preview-GGUF | NousResearch | 2025-03-13T13:43:35Z | 192 | 26 | transformers | [
"transformers",
"gguf",
"Llama-3",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation",
"function calling",
"json mode",
"axolotl",
"roleplaying",
"chat",
"reasoning",
"r1",
"vllm",
"en",
"license:llama3",
"endpoints_compatible",
"region:us",
"convers... | null | 2025-03-11T11:28:49Z | # GGUF Quantized Models
This repository contains GGUF quantized versions of language models for efficient inference.
## Files
The following GGUF files are available in this repository:
- `DeepHermes-3-Llama-3-3B-Preview-q4.gguf` (1.8G)
- `DeepHermes-3-Llama-3-3B-Preview-q5.gguf` (2.2G)
- `DeepHermes-3-Llama-3-3B-Pr... | [] |
AICP-Labs/qwen3-32b-dflash-en-zh | AICP-Labs | 2026-03-01T13:36:06Z | 412 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3",
"speculative-decoding",
"dflash",
"draft-model",
"inference-acceleration",
"text-generation",
"en",
"zh",
"base_model:Qwen/Qwen3-32B",
"base_model:finetune:Qwen/Qwen3-32B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
... | text-generation | 2026-02-26T12:32:57Z | # Qwen3-32B DFlash Draft Model (EagleChat 400K Mix)
A DFlash draft model trained from **Qwen3-32B** using a **EagleChat** subset (**English 200K + Chinese 200K**) to accelerate speculative decoding.
---
## Model Summary
This repository provides a **DFlash draft model** for **Qwen3-32B**. The draft model is intende... | [
{
"start": 281,
"end": 290,
"text": "Qwen3-32B",
"label": "benchmark name",
"score": 0.6111044883728027
},
{
"start": 675,
"end": 679,
"text": "H100",
"label": "evaluation metric",
"score": 0.6373871564865112
},
{
"start": 806,
"end": 815,
"text": "EagleCh... |
snuh/hari-q3-8b | snuh | 2026-01-29T23:31:12Z | 872 | 4 | null | [
"safetensors",
"qwen3",
"medical",
"clinical",
"QA",
"benchmark",
"healthcare",
"korean",
"reasoning",
"ko",
"en",
"base_model:Qwen/Qwen3-8B-Base",
"base_model:finetune:Qwen/Qwen3-8B-Base",
"license:apache-2.0",
"region:us"
] | null | 2025-11-05T06:12:18Z | 🧠 **Korean Medical LLM (QA-Finetuned) by Healthcare AI Research Institute of Seoul National University Hospital**
Welcome to the official repository of the **Korean Medical Large Language Model (LLM)** developed by the **Healthcare AI Research Institute (HARI)** at **Seoul National University Hospital (SNUH)**.
---
... | [] |
mradermacher/Olmo-3-7B-RL-Zero-Math-i1-GGUF | mradermacher | 2025-12-05T02:59:01Z | 1,361 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:allenai/Dolci-RLZero-Math-7B",
"base_model:allenai/Olmo-3-7B-RL-Zero-Math",
"base_model:quantized:allenai/Olmo-3-7B-RL-Zero-Math",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-02T03:35:50Z | ## 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": 622,
"end": 652,
"text": "Olmo-3-7B-RL-Zero-Math-i1-GGUF",
"label": "benchmark name",
"score": 0.616513729095459
}
] |
mradermacher/Huihui-Fara-7B-abliterated-GGUF | mradermacher | 2025-11-27T01:34:18Z | 207 | 2 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"multimodal",
"en",
"base_model:huihui-ai/Huihui-Fara-7B-abliterated",
"base_model:quantized:huihui-ai/Huihui-Fara-7B-abliterated",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-26T23:23:02Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
1bitLLM/bitnet_b1_58-large | 1bitLLM | 2024-03-29T11:24:06Z | 1,291 | 117 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2402.17764",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-03-29T11:10:00Z | This is a reproduction of the <a href="https://arxiv.org/abs/2402.17764"> BitNet b1.58</a> paper. The models are trained with <a href="https://github.com/togethercomputer/RedPajama-Data">RedPajama dataset</a> for 100B tokens. The hypers, as well as two-stage LR and weight decay, are implemented as suggested in their fo... | [
{
"start": 707,
"end": 710,
"text": "Avg",
"label": "evaluation metric",
"score": 0.7569646239280701
}
] |
mradermacher/CreativeSocialAgent_GLM_4.7_Flash-i1-GGUF | mradermacher | 2026-02-19T04:47:59Z | 812 | 3 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"glm4_moe_lite",
"en",
"base_model:CyberNative-AI/CreativeSocialAgent_GLM_4.7_Flash",
"base_model:quantized:CyberNative-AI/CreativeSocialAgent_GLM_4.7_Flash",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
... | null | 2026-02-18T23:08:33Z | ## 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_... | [] |
huihui-ai/Huihui-Qwen3-Next-80B-A3B-Thinking-abliterated | huihui-ai | 2025-12-11T01:03:43Z | 965 | 10 | transformers | [
"transformers",
"safetensors",
"qwen3_next",
"text-generation",
"abliterated",
"uncensored",
"chat",
"conversational",
"en",
"zh",
"base_model:Qwen/Qwen3-Next-80B-A3B-Thinking",
"base_model:finetune:Qwen/Qwen3-Next-80B-A3B-Thinking",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-10T22:56:24Z | # huihui-ai/Huihui-Qwen3-Next-80B-A3B-Thinking-abliterated
This is an uncensored version of [Qwen/Qwen3-Next-80B-A3B-Thinking](https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinking) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to ... | [] |
bartowski/OpenGVLab_InternVL3_5-8B-GGUF | bartowski | 2025-08-26T04:28:35Z | 7,296 | 5 | null | [
"gguf",
"image-text-to-text",
"base_model:OpenGVLab/InternVL3_5-8B",
"base_model:quantized:OpenGVLab/InternVL3_5-8B",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-08-26T03:23:48Z | ## Llamacpp imatrix Quantizations of InternVL3_5-8B by OpenGVLab
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/b6258">b6258</a> for quantization.
Original model: https://huggingface.co/OpenGVLab/InternVL3_5-8B
All quants made ... | [] |
inclusionAI/Ling-lite-1.5 | inclusionAI | 2026-04-13T11:38:18Z | 20,510 | 57 | transformers | [
"transformers",
"safetensors",
"bailing_moe",
"text-generation",
"conversational",
"custom_code",
"arxiv:2503.05139",
"license:mit",
"region:us"
] | text-generation | 2025-05-11T05:32:38Z | # Ling
[Paper](https://hf.co/papers/2503.05139)
<p align="center"><img src="https://huggingface.co/inclusionAI/Ling-lite/resolve/main/ant-bailing.png" width="100"/></p>
<p align="center">🤗 <a href="https://huggingface.co/inclusionAI">Hugging Face</a></p>
## Introduction
Ling is a MoE LLM provided and open-sourced... | [] |
dealignai/Qwen3.5-VL-9B-JANG_4S-CRACK | dealignai | 2026-04-17T00:44:25Z | 1,954 | 5 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"jang",
"quantized",
"mixed-precision",
"apple-silicon",
"abliterated",
"uncensored",
"crack",
"vision",
"image-text-to-text",
"conversational",
"en",
"zh",
"ko",
"base_model:Qwen/Qwen3.5-9B",
"base_model:finetune:Qwen/Qwen3.5-9B",
"license:apache... | image-text-to-text | 2026-03-19T21:28:39Z | > **Important:** This model uses the **JANG** quantization format — the GGUF equivalent for MLX on Apple Silicon. Currently only supported by **[MLX Studio](https://mlx.studio)** and the `jang-tools` Python package.
---
<p align="center">
<a href="https://mlx.studio"><img src="https://raw.githubusercontent.com/jjan... | [] |
prithivMLmods/VyvoTTS-v0-Qwen3-0.6B-GGUF | prithivMLmods | 2025-08-10T10:00:17Z | 113 | 5 | transformers | [
"transformers",
"gguf",
"qwen3",
"text-generation-inference",
"text-to-speech",
"en",
"dataset:OpenSpeechHub/mls_eng_10k_snac_qwen",
"base_model:Vyvo/VyvoTTS-v0-Qwen3-0.6B",
"base_model:quantized:Vyvo/VyvoTTS-v0-Qwen3-0.6B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational... | text-to-speech | 2025-08-10T08:45:45Z | # **VyvoTTS-v0-Qwen3-0.6B-GGUF**
> VyvoTTS-v0-Qwen3-0.6B is an English Text-to-Speech (TTS) model built on the Qwen3-0.6B architecture and trained using a 10,000-hour dataset to produce natural-sounding speech. With approximately 810 million parameters and licensed under MIT, the model offers flexible usage as a pretr... | [] |
hynt/ZipVoice-Vietnamese-2500h | hynt | 2026-03-26T04:10:38Z | 226 | 29 | pytorch | [
"pytorch",
"text-to-speech",
"vietnamese",
"ai-model",
"deep-learning",
"vi",
"dataset:PhoAudioBook",
"dataset:ViVoice",
"dataset:UEH",
"license:cc-by-nc-sa-4.0",
"region:us"
] | text-to-speech | 2025-08-07T12:15:14Z | # 🛑 Important Note ⚠️
This Text-to-Speech (TTS) model is provided solely for research, experimentation, and technology development purposes. Any audio content generated by the model does not represent the voice, identity, opinions, or endorsement of any real individual or organization. The authors and related partie... | [] |
jinaai/jina-reranker-v3-mlx | jinaai | 2025-10-04T17:48:58Z | 473 | 4 | mlx | [
"mlx",
"safetensors",
"qwen3",
"reranker",
"text-ranking",
"custom_code",
"multilingual",
"arxiv:2509.25085",
"base_model:jinaai/jina-reranker-v3",
"base_model:quantized:jinaai/jina-reranker-v3",
"license:cc-by-nc-4.0",
"region:eu"
] | text-ranking | 2025-10-04T14:32:41Z | # jina-reranker-v3-mlx
MLX port of [jina-reranker-v3](https://huggingface.co/jinaai/jina-reranker-v3), a 0.6B parameter multilingual listwise reranker optimized for Apple Silicon. Features native MLX implementation with 100% matching of rank scores and embeddings to the original implementation. No transformers library... | [
{
"start": 1228,
"end": 1243,
"text": "relevance score",
"label": "evaluation metric",
"score": 0.8770462274551392
}
] |
mradermacher/GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF | mradermacher | 2025-12-22T06:48:13Z | 5,731 | 4 | transformers | [
"transformers",
"gguf",
"abliterated",
"derestricted",
"glm-4.6",
"unlimited",
"uncensored",
"en",
"base_model:ArliAI/GLM-4.6-REAP-268B-A32B-Derestricted",
"base_model:quantized:ArliAI/GLM-4.6-REAP-268B-A32B-Derestricted",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"c... | null | 2025-12-13T11:06:54Z | ## 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_... | [
{
"start": 634,
"end": 677,
"text": "GLM-4.6-REAP-268B-A32B-Derestricted-i1-GGUF",
"label": "benchmark name",
"score": 0.6305308938026428
}
] |
mradermacher/Llama-3.1-8B-Lexi-Uncensored-V2-GGUF | mradermacher | 2025-03-29T15:46:56Z | 626 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2",
"base_model:quantized:Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2",
"license:llama3.1",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-09-26T10:28:28Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
<!-- provided-files -->
weighted/imatrix quants are available at https://hugg... | [] |
mradermacher/Qwen-3.5-10.5B-Frankenmerge-Opus-4.6-Distill-i1-GGUF | mradermacher | 2026-03-20T19:18:58Z | 10,667 | 2 | transformers | [
"transformers",
"gguf",
"qwen3_5",
"frankenmerge",
"layer-surgery",
"reasoning",
"chain-of-thought",
"unsloth",
"abliterated",
"en",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"base_model:JackBinary/Qwen-3.5-10B-Frankenmerge-Opus-4.6-Disti... | null | 2026-03-18T19:13:59Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/Qwen3.5-4B-PaperWitch-heresy-GGUF | mradermacher | 2026-03-03T11:06:34Z | 1,877 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:MuXodious/Qwen3.5-4B-PaperWitch-heresy",
"base_model:quantized:MuXodious/Qwen3.5-4B-PaperWitch-heresy",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-03T10:18:27Z | ## 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... | [] |
coder3101/Qwen3.5-27B-heretic | coder3101 | 2026-02-25T18:53:13Z | 13,672 | 55 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"base_model:Qwen/Qwen3.5-27B",
"base_model:finetune:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-02-25T07:57:58Z | # This is a decensored version of [Qwen/Qwen3.5-27B](https://huggingface.co/Qwen/Qwen3.5-27B), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0 with Magnitude-Preserving Orthogonal Ablation (MPOA)
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 37.97 |
| **a... | [
{
"start": 491,
"end": 515,
"text": "mlp.down_proj.max_weight",
"label": "evaluation metric",
"score": 0.6039450168609619
},
{
"start": 531,
"end": 564,
"text": "mlp.down_proj.max_weight_position",
"label": "evaluation metric",
"score": 0.6819172501564026
},
{
"st... |
llava-hf/llava-v1.6-mistral-7b-hf | llava-hf | 2025-12-22T09:41:22Z | 537,593 | 305 | transformers | [
"transformers",
"safetensors",
"llava_next",
"image-text-to-text",
"vision",
"conversational",
"en",
"arxiv:2310.03744",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2024-02-20T08:01:48Z | # LLaVa-Next, leveraging [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) as LLM
The LLaVA-NeXT model was proposed in [LLaVA-NeXT: Improved reasoning, OCR, and world knowledge](https://llava-vl.github.io/blog/2024-01-30-llava-next/) by Haotian Liu, Chunyuan Li, Yuheng Li,... | [] |
prithivMLmods/QIE-2511-Zoom-Master | prithivMLmods | 2026-01-24T12:30:15Z | 2,019 | 18 | diffusers | [
"diffusers",
"lora",
"zoom-master",
"image-to-image",
"en",
"base_model:Qwen/Qwen-Image-Edit-2511",
"base_model:adapter:Qwen/Qwen-Image-Edit-2511",
"doi:10.57967/hf/7630",
"license:apache-2.0",
"region:us"
] | image-to-image | 2026-01-22T04:24:40Z | 
![3](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/buiNXIVNF9N1Ou... | [] |
timm/efficientvit_b3.r224_in1k | timm | 2025-01-21T21:12:17Z | 2,563 | 1 | timm | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"transformers",
"dataset:imagenet-1k",
"arxiv:2205.14756",
"license:apache-2.0",
"region:us"
] | image-classification | 2023-08-18T22:46:38Z | # Model card for efficientvit_b3.r224_in1k
An EfficientViT (MIT) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Params (M): 48.6
- GMACs: 4.0
- Activations (M): 26.9
- Image size: 224 x 224
- ... | [] |
hkust-nlp/WebExplorer-8B | hkust-nlp | 2025-09-11T05:44:27Z | 170 | 12 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"LLM",
"agent",
"image-text-to-text",
"conversational",
"en",
"arxiv:2509.06501",
"base_model:Qwen/Qwen3-8B",
"base_model:finetune:Qwen/Qwen3-8B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"regi... | image-text-to-text | 2025-09-08T07:26:56Z | # 🔍 WebExplorer-8B
[](https://arxiv.org/abs/2509.06501)
[](LICENSE)
[](https://github.com/hkust-nlp/WebExplorer)
A... | [
{
"start": 1993,
"end": 2006,
"text": "HLE benchmark",
"label": "benchmark name",
"score": 0.7068538665771484
}
] |
primeline/distil-whisper-large-v3-german | primeline | 2024-12-03T10:41:46Z | 221 | 19 | transformers | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"de",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | automatic-speech-recognition | 2024-04-15T06:47:22Z | # distil-whisper-german
This model is a German Speech Recognition model based on the [distil-whisper](https://github.com/huggingface/distil-whisper) technique.
The model weights count 756M parameters and with a size of 1.51GB in bfloat16 format.
As a follow-up to the [Whisper large v3 german](https://huggingface.co/p... | [] |
nvidia/MiniMax-M2.5-NVFP4 | nvidia | 2026-04-17T16:51:27Z | 45,243 | 27 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"minimax_m2",
"nvidia",
"ModelOpt",
"MiniMax",
"quantized",
"NVFP4",
"nvfp4",
"text-generation",
"conversational",
"custom_code",
"base_model:MiniMaxAI/MiniMax-M2.5",
"base_model:quantized:MiniMaxAI/MiniMax-M2.5",
"license:other",
"8-bit",
"modelopt"... | text-generation | 2026-03-11T18:15:52Z | # Model Overview
## Description:
The NVIDIA MiniMax-M2.5-NVFP4 model is the quantized version of MiniMax's MiniMax-M2.5 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/MiniMaxAI/MiniMax-M2.5). The NVIDIA... | [] |
mradermacher/MiniMax-M2.1-GGUF | mradermacher | 2025-12-29T13:20:42Z | 202 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:MiniMaxAI/MiniMax-M2.1",
"base_model:quantized:MiniMaxAI/MiniMax-M2.1",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-27T13:23:50Z | ## 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": 1150,
"end": 1154,
"text": "Q2_K",
"label": "benchmark name",
"score": 0.6307235360145569
}
] |
mradermacher/MiniMax-M2.1-REAP-30-i1-GGUF | mradermacher | 2026-02-03T00:00:22Z | 658 | 2 | transformers | [
"transformers",
"gguf",
"minimax",
"moe",
"reap",
"pruned",
"text-generation",
"en",
"base_model:0xSero/MiniMax-M2.1-REAP-30",
"base_model:quantized:0xSero/MiniMax-M2.1-REAP-30",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-01-29T17:12:56Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 619,
"end": 647,
"text": "MiniMax-M2.1-REAP-30-i1-GGUF",
"label": "benchmark name",
"score": 0.7655064463615417
},
{
"start": 721,
"end": 746,
"text": "MiniMax-M2.1-REAP-30-GGUF",
"label": "benchmark name",
"score": 0.6572480797767639
},
{
"start": 1207... |
mradermacher/InfiGUI-G1-7B-i1-GGUF | mradermacher | 2025-12-09T03:26:53Z | 129 | 1 | transformers | [
"transformers",
"gguf",
"gui",
"agent",
"gui-grounding",
"reinforcement-learning",
"en",
"base_model:InfiX-ai/InfiGUI-G1-7B",
"base_model:quantized:InfiX-ai/InfiGUI-G1-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | reinforcement-learning | 2025-08-12T07:41:37Z | ## 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... | [] |
StanfordAIMI/CheXOne | StanfordAIMI | 2026-04-02T06:59:31Z | 6,448 | 6 | null | [
"safetensors",
"qwen2_5_vl",
"Chest-Xray",
"CXR",
"Reasoning",
"VQA",
"Report",
"Grounding",
"image-text-to-text",
"conversational",
"en",
"arxiv:2604.00493",
"base_model:Qwen/Qwen2.5-3B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-3B-Instruct",
"license:cc-by-nc-4.0",
"region:us"
] | image-text-to-text | 2026-01-21T18:18:11Z | <div align="center">
<img src="https://github.com/YBZh/CheXOne/raw/main/asset/chexone_logo1.png" width="600" alt="CheXOne Logo">
<p align="center">
📝 <a href="https://arxiv.org/abs/2604.00493v1" target="_blank">Paper</a> • 🤗 <a href="https://huggingface.co/StanfordAIMI/CheXOne" target="_blank">Hugging Face</a> • 🧩... | [] |
Metric-AI/armenian-text-embeddings-1 | Metric-AI | 2026-03-19T13:01:56Z | 486 | 21 | transformers | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"sentence-transformers",
"en",
"hy",
"base_model:intfloat/multilingual-e5-base",
"base_model:finetune:intfloat/multilingual-e5-base",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2024-11-12T10:52:35Z | <div style="background-color: rgba(119, 0, 204, 0.25); border: 2px solid #7700cc; border-radius: 8px; padding: 16px; margin: 16px 0; color: #ffffff;">
<strong>🚀 New Version Available!</strong><br><br>
A newer and significantly improved version of this model has been released! Check out <a href="https://huggingface... | [] |
QuantTrio/Qwen3-VL-235B-A22B-Thinking-AWQ | QuantTrio | 2025-10-08T14:25:11Z | 207 | 8 | transformers | [
"transformers",
"safetensors",
"qwen3_vl_moe",
"image-text-to-text",
"AWQ",
"vLLM",
"text-generation",
"conversational",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-235B-A22B-Thinking",
"base_model:quantized:Qwen/Qwen3-VL-235B-A22B-Thinking",
"license:apache-2.0",
"en... | text-generation | 2025-09-28T15:02:32Z | # Qwen3-VL-235B-A22B-Thinking-AWQ
Base Model: [Qwen/Qwen3-VL-235B-A22B-Thinking](https://www.modelscope.cn/models/Qwen/Qwen3-VL-235B-A22B-Thinking)
### 【Dependencies / Installation】
As of **2025-10-08**, create a fresh Python environment and run:
```bash
uv venv
source .venv/bin/activate
# Install vLLM >=0.11.0
uv pi... | [] |
QuantTrio/DeepSeek-V3.2-AWQ | QuantTrio | 2025-12-03T13:02:03Z | 11,103 | 11 | transformers | [
"transformers",
"safetensors",
"deepseek_v32",
"text-generation",
"vLLM",
"AWQ",
"conversational",
"base_model:deepseek-ai/DeepSeek-V3.2",
"base_model:quantized:deepseek-ai/DeepSeek-V3.2",
"license:mit",
"endpoints_compatible",
"4-bit",
"awq",
"region:us"
] | text-generation | 2025-12-03T02:22:35Z | # DeepSeek-V3.2-AWQ
Base model: [deepseek-ai/DeepSeek-V3.2](https://www.modelscope.cn/models/deepseek-ai/DeepSeek-V3.2)
```
Note:
1. Tested on Hopper device, we don't know if
ada / ampere devices could run this repo yet.
2. Waiting for official chat_template.jinja;
The file in this repo is borrowed from v3.1
... | [] |
PaddlePaddle/PP-LCNet_x1_0_textline_ori | PaddlePaddle | 2025-08-29T02:42:31Z | 207,105 | 2 | PaddleOCR | [
"PaddleOCR",
"OCR",
"PaddlePaddle",
"textline_orientation_classification",
"image-to-text",
"en",
"zh",
"license:apache-2.0",
"region:us"
] | image-to-text | 2025-06-12T07:35:20Z | # PP-LCNet_x1_0_textline_ori
## Introduction
The text line orientation classification module primarily distinguishes the orientation of text lines and corrects them using post-processing. In processes such as document scanning and license/certificate photography, to capture clearer images, the capture device may be r... | [
{
"start": 664,
"end": 688,
"text": "Recognition Avg Accuracy",
"label": "evaluation metric",
"score": 0.6040131449699402
}
] |
GYX97/ImageDoctor | GYX97 | 2025-10-11T17:08:18Z | 946 | 1 | null | [
"safetensors",
"ImageDoctor",
"image-text-to-text",
"conversational",
"custom_code",
"en",
"arxiv:2510.01010",
"base_model:Qwen/Qwen2.5-VL-3B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-3B-Instruct",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2025-10-11T06:30:50Z | # 🩺 ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning
**ImageDoctor** is a unified **evaluation model** for **text-to-image (T2I) generation**, capable of producing both **multi-aspect scalar scores** and **spatially grounded heatmaps**.
It follows a **“look–think–predict”** reasoning pa... | [] |
Abhiray/Qwen3.5-9B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled-GGUF | Abhiray | 2026-03-09T12:20:52Z | 2,002 | 3 | null | [
"gguf",
"abliterated",
"uncensored",
"reasoning",
"qwen",
"distilled",
"llama-cpp",
"en",
"base_model:Abhiray/Qwen3.5-9B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled",
"base_model:quantized:Abhiray/Qwen3.5-9B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled",
"license:apache-2.0",
"endpoints... | null | 2026-03-09T12:15:24Z | # Qwen3.5-9B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled (GGUF Quants)
This repository contains GGUF quantizations of the **triple-abliterated** Qwen 3.5 9B model. This model has been surgically modified to remove the "Safety Persona" and refusal mechanisms while retaining its high-level reasoning capabilities.
#... | [
{
"start": 552,
"end": 555,
"text": "f16",
"label": "benchmark name",
"score": 0.6171262264251709
},
{
"start": 726,
"end": 729,
"text": "F16",
"label": "benchmark name",
"score": 0.6061257123947144
}
] |
speechbrain/vad-crdnn-libriparty | speechbrain | 2024-02-25T23:23:58Z | 9,470 | 43 | speechbrain | [
"speechbrain",
"VAD",
"SAD",
"Voice Activity Detection",
"Speech Activity Detection",
"Speaker Diarization",
"pytorch",
"CRDNN",
"LibriSpeech",
"LibryParty",
"en",
"dataset:Urbansound8k",
"arxiv:2106.04624",
"region:us"
] | null | 2022-03-02T23:29:05Z | <iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
<br/><br/>
# Voice Activity Detection with a (small) CRDNN model trained on Libriparty
This repository provides all the ... | [
{
"start": 1276,
"end": 1290,
"text": "Test Precision",
"label": "evaluation metric",
"score": 0.8457229137420654
},
{
"start": 1293,
"end": 1304,
"text": "Test Recall",
"label": "evaluation metric",
"score": 0.6467344760894775
},
{
"start": 1307,
"end": 1319,... |
mradermacher/translategemma-12b-it-GGUF | mradermacher | 2026-01-16T09:24:55Z | 5,617 | 11 | transformers | [
"transformers",
"gguf",
"en",
"base_model:google/translategemma-12b-it",
"base_model:quantized:google/translategemma-12b-it",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-16T07:14:27Z | ## 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... | [] |
unsloth/Qwen3-Embedding-8B | unsloth | 2026-01-22T14:32:05Z | 712 | 4 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3",
"text-generation",
"transformers",
"sentence-similarity",
"feature-extraction",
"text-embeddings-inference",
"arxiv:2506.05176",
"base_model:Qwen/Qwen3-8B-Base",
"base_model:finetune:Qwen/Qwen3-8B-Base",
"license:apache-2.0",
"endpoints_compat... | feature-extraction | 2026-01-22T14:31:33Z | # Qwen3-Embedding-8B
<p align="center">
<img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/logo_qwen3.png" width="400"/>
<p>
## Highlights
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon... | [
{
"start": 1029,
"end": 1058,
"text": "MTEB multilingual leaderboard",
"label": "evaluation metric",
"score": 0.7173008322715759
}
] |
PrimeIntellect/INTELLECT-3.1 | PrimeIntellect | 2026-02-18T00:07:55Z | 905 | 40 | transformers | [
"transformers",
"safetensors",
"glm4_moe",
"text-generation",
"prime-rl",
"verifiers",
"prime-intellect",
"reinforcement-learning",
"reasoning",
"agentic",
"mixture-of-experts",
"conversational",
"custom_code",
"en",
"base_model:zai-org/GLM-4.5-Air-Base",
"base_model:finetune:zai-org/G... | text-generation | 2026-01-20T01:39:12Z | # INTELLECT-3.1
<div align="center">
<img src="https://huggingface.co/PrimeIntellect/INTELLECT-3/resolve/main/banner.png" alt="Prime Intellect Logo" />
</div>
<p align="center">
<strong>INTELLECT-3.1: A 100B+ MoE trained with large-scale RL</strong>
<br><br>
Trained with <a href="https://github.com/PrimeI... | [] |
lerobot/pi0fast-libero-v044 | lerobot | 2026-01-22T09:26:02Z | 6,144 | 9 | lerobot | [
"lerobot",
"safetensors",
"vision-language-action",
"imitation-learning",
"robotics",
"en",
"dataset:HuggingFaceVLA/libero",
"arxiv:2501.09747",
"license:gemma",
"region:us"
] | robotics | 2026-01-09T23:11:26Z | # π0 fast (PI0Fast) (LeRobot)
**PI0Fast** is a Vision-Language-Action (VLA) policy that predicts continuous robot actions via **autoregressive next-token prediction** over **FAST action tokens**.
Checkpoint trained and evaluated on LIBERO tasks: 82.5 % SR on all tasks.
**Original authors / paper:** [FAST: Efficient ... | [
{
"start": 248,
"end": 257,
"text": "82.5 % SR",
"label": "evaluation metric",
"score": 0.6557427644729614
},
{
"start": 785,
"end": 809,
"text": "next-token cross-entropy",
"label": "evaluation metric",
"score": 0.8512192964553833
}
] |
mradermacher/ThaiLLM-30B-IQ-i1-GGUF | mradermacher | 2026-02-01T23:00:13Z | 1,252 | 1 | transformers | [
"transformers",
"gguf",
"medical",
"rag",
"citation",
"question-answering",
"thai",
"th",
"base_model:ThaiLLM/ThaiLLM-30B-IQ",
"base_model:quantized:ThaiLLM/ThaiLLM-30B-IQ",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | question-answering | 2026-02-01T14:58:10Z | ## 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": 614,
"end": 636,
"text": "ThaiLLM-30B-IQ-i1-GGUF",
"label": "benchmark name",
"score": 0.60999596118927
}
] |
mradermacher/MN-Violet-Lotus-12B-GGUF | mradermacher | 2024-11-17T11:26:11Z | 11,360 | 53 | transformers | [
"transformers",
"gguf",
"storywriting",
"text adventure",
"creative",
"story",
"writing",
"fiction",
"roleplaying",
"rp",
"mergekit",
"merge",
"en",
"base_model:FallenMerick/MN-Violet-Lotus-12B",
"base_model:quantized:FallenMerick/MN-Violet-Lotus-12B",
"license:cc-by-4.0",
"endpoints... | null | 2024-11-17T05:53:19Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/FallenMerick/MN-Violet-Lotus-12B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co... | [] |
mradermacher/GLM-4.7-Flash-REAP-23B-A3B-i1-GGUF | mradermacher | 2026-02-08T18:18:23Z | 342 | 2 | transformers | [
"transformers",
"gguf",
"glm",
"MOE",
"pruning",
"compression",
"en",
"base_model:cerebras/GLM-4.7-Flash-REAP-23B-A3B",
"base_model:quantized:cerebras/GLM-4.7-Flash-REAP-23B-A3B",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-08T15:00:11Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 627,
"end": 661,
"text": "GLM-4.7-Flash-REAP-23B-A3B-i1-GGUF",
"label": "benchmark name",
"score": 0.6715964674949646
}
] |
deadbydawn101/gemma-4-E2B-Heretic-Uncensored-mlx-4bit | deadbydawn101 | 2026-04-09T08:29:02Z | 1,905 | 2 | mlx | [
"mlx",
"safetensors",
"gemma4",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"any-to-any",
"4-bit",
"quantized",
"apple-silicon",
"multimodal",
"vision",
"turboquant",
"kv-cache-compression",
"long-context",
"ravenx",
"image-text-to-text",
"conversational",
"e... | image-text-to-text | 2026-04-02T21:33:17Z | # Gemma 4 E2B Heretic — Uncensored | MLX 4-bit | Apple Silicon | 3.34 GB
> **Gemma 4 E2B abliterated via Heretic ARA — 95% refusal removal, near-zero KL divergence. Smallest uncensored multimodal on Apple Silicon. 3.34 GB.**
**[p-e-w/gemma-4-E2B-it-heretic-ara](https://huggingface.co/p-e-w/gemma-4-E2B-it-heretic-ara... | [] |
ZERO-POINT-INTELLIGENCE-LTD/MARTHA-GPT-OSS-120B | ZERO-POINT-INTELLIGENCE-LTD | 2026-03-24T19:56:34Z | 2,679 | 1 | null | [
"safetensors",
"gguf",
"gpt_oss",
"gpt-oss",
"ghost-pass",
"zero-point-intelligence-ltd",
"martha",
"mxfp4",
"Mixture of Experts",
"conversational",
"GGUF",
"text-generation",
"en",
"base_model:openai/gpt-oss-120b",
"base_model:quantized:openai/gpt-oss-120b",
"license:apache-2.0",
"e... | text-generation | 2026-03-21T00:52:10Z | # MARTHA-GPT-OSS-120B (Official Core Release)
**Developer:** Zero Point Intelligence Ltd, Scotland
**Model Family:** MARTHA Core
**Architecture:** 120B (117B params, 5.1B active) parameter text generation (reasoning) model
**License:** Apache 2.0
---
## System Prompt
```
You are Martha, a 120B (117B params, 5.1B ac... | [] |
LiconStudio/Qwen3.5-27B-abliterated-GGUF | LiconStudio | 2026-03-16T01:06:49Z | 809 | 4 | null | [
"gguf",
"heretic",
"uncensored",
"ablation",
"qwen",
"text-generation",
"zh",
"en",
"base_model:Qwen/Qwen3.5-27B",
"base_model:quantized:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-03-15T20:52:28Z | ## Evaluation & Comparison
### Core Metrics
| Metric | Original Model | Heretic Model | Description |
|--------|----------------|---------------|-------------|
| **Refusal Rate** | 92.0% | **2/100** | Tested on 520 harmful prompts |
| **KL Divergence** | - | **0.0414** | Sequence cumulative KL (per token) |
| **NLL C... | [] |
Biatron/biatron-345m | Biatron | 2026-03-16T17:23:53Z | 316 | 1 | transformers | [
"transformers",
"safetensors",
"Biatron",
"text-generation",
"conversational",
"pt",
"dataset:TucanoBR/GigaVerbo",
"dataset:cnmoro/reasoning-v1-20m-portuguese",
"dataset:HuggingFaceTB/finemath",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-11-08T23:00:30Z | # Biatron Model Card
## Model Details
Biatron-345M is the first model in the Biatron series, designed to address the scarcity of high-performance SLMs for Portuguese, particularly in technical domains. With 345 million parameters, it balances computational efficiency with specialized reasoning c... | [] |
Gryphe/MythoMist-7b | Gryphe | 2023-12-07T16:48:28Z | 674 | 37 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"en",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2023-11-22T05:41:17Z | MythoMist 7b is, as always, a highly experimental Mistral-based merge based on my latest algorithm, which actively benchmarks the model as it's being built in pursuit of a goal set by the user.
**Addendum (2023-11-23)**: A more thorough investigation revealed a flaw in my original algorithm that has since been resolve... | [] |
samunder12/Llama-3.2-3B-small_Shiro_roleplay-gguf | samunder12 | 2025-10-20T04:50:30Z | 399 | 4 | transformers | [
"transformers",
"gguf",
"llama",
"text-generation",
"roleplay",
"rp",
"character",
"peft",
"unsloth",
"llama-3.2",
"instruct",
"creative-writing",
"storytelling",
"llama.cpp",
"en",
"base_model:meta-llama/Llama-3.2-3B-Instruct",
"base_model:quantized:meta-llama/Llama-3.2-3B-Instruct"... | text-generation | 2025-10-19T10:26:01Z | <div style="width: auto; margin-left: auto; margin-right: auto">
<img src="./shiro.jpg" alt="Peach" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
# Llama-3.2-3B-small_Shiro_roleplay-gguf - GGUF
- small but not useless enjoy role-playing
## Available Model files:
- `Llama-3.2-3B-Instruc... | [
{
"start": 603,
"end": 607,
"text": "PEFT",
"label": "benchmark name",
"score": 0.6735283732414246
}
] |
Xlnk/ruvltra-claude-code | Xlnk | 2026-02-10T13:46:27Z | 133 | 8 | gguf | [
"gguf",
"ruvltra",
"claude-code",
"code-generation",
"sona",
"adaptive-learning",
"self-learning",
"swarm-optimized",
"quantized",
"llama-cpp",
"text-generation-inference",
"first-of-its-kind",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"ima... | text-generation | 2026-02-10T13:46:26Z | <div align="center">
# 🌟 RuvLTRA Claude Code
### **The World's First LLM Optimized for Claude Code**
[](https://opensource.org/licenses/Apache-2.0)
[](https://huggingfac... | [] |
DreamFast/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark | DreamFast | 2026-04-24T08:18:22Z | 908 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"uncensored",
"abliterated",
"qwen3.5",
"text-generation",
"conversational",
"en",
"zh",
"base_model:Qwen/Qwen3.5-9B",
"base_model:finetune:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-14T07:20:34Z | # Qwen3.5-9B: HauhauCS Aggressive, Safetensors
This is the HauhauCS aggressive abliteration of [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B), converted from the BF16 GGUF release to native safetensors using [ungguf](https://github.com/dreamfast/ungguf).
HauhauCS claims these are *"No changes to datasets o... | [] |
ZuzeTt/granite-4.0-h-tiny-imatrix-GGUF | ZuzeTt | 2026-02-26T16:55:44Z | 3,480 | 1 | transformers | [
"transformers",
"gguf",
"language",
"granite-4.0",
"arxiv:0000.00000",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-26T14:50:13Z | Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b8149">b8149</a> for quantization.
[](https://mot.isitopen.ai/model/1161)
# Granite-4... | [] |
mradermacher/qwen3.5-18b-a3b-reap-coding-heretic-v0-i1-GGUF | mradermacher | 2026-03-11T07:59:02Z | 5,725 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:tvall43/qwen3.5-18b-a3b-reap-coding-heretic-v0",
"base_model:quantized:tvall43/qwen3.5-18b-a3b-reap-coding-heretic-v0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-11T06:01:15Z | ## 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_... | [] |
mlboydaisuke/gemma-4-E2B-coreml | mlboydaisuke | 2026-04-28T08:10:41Z | 682 | 4 | coreml | [
"coreml",
"apple-silicon",
"ane",
"on-device",
"gemma-4",
"gemma-3n",
"multimodal",
"vision",
"audio",
"image-text-to-text",
"base_model:google/gemma-4-E2B-it",
"base_model:quantized:google/gemma-4-E2B-it",
"license:gemma",
"region:us"
] | image-text-to-text | 2026-04-08T21:30:45Z | ## Use it from Swift
<!-- swift-usage-begin -->
### Add the package
`Package.swift`:
```swift
.package(url: "https://github.com/john-rocky/CoreML-LLM", branch: "main"),
// In your target:
.product(name: "CoreMLLLM", package: "CoreML-LLM"),
```
Platforms: iOS 18+ / macOS 15+.
### Download + chat (one call)
```swi... | [] |
unsloth/Qwen3.6-35B-A3B-GGUF | unsloth | 2026-04-20T12:42:25Z | 816,485 | 546 | transformers | [
"transformers",
"gguf",
"unsloth",
"qwen",
"qwen3_5_moe",
"image-text-to-text",
"base_model:Qwen/Qwen3.6-35B-A3B",
"base_model:quantized:Qwen/Qwen3.6-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational",
"deploy:azure"
] | image-text-to-text | 2026-04-16T04:31:31Z | # Read our How to [Run Qwen3.6 Guide!](https://docs.unsloth.ai/models/qwen3.6)
<div>
<p style="margin: 0 0 0px 0; margin-top: 0px;">
<em>See <a href="https://unsloth.ai/docs/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0 GGUFs</a> for our quantization benchmarks.</em>
</p>
<div style="display: flex; ga... | [
{
"start": 23,
"end": 30,
"text": "Qwen3.6",
"label": "benchmark name",
"score": 0.6920912861824036
},
{
"start": 70,
"end": 77,
"text": "qwen3.6",
"label": "benchmark name",
"score": 0.8034921288490295
},
{
"start": 740,
"end": 747,
"text": "qwen3.6",
... |
null-space/Qwen3-235B-A22B-abliterated-FP8 | null-space | 2026-03-09T18:49:59Z | 204 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"abliterated",
"uncensored",
"qwen3",
"moe",
"ablation",
"fp8",
"quantized",
"compressed-tensors",
"conversational",
"en",
"zh",
"ja",
"ko",
"fr",
"de",
"es",
"pt",
"ru",
"ar",
"th",
"vi",
"arxiv:2406.11... | text-generation | 2026-02-18T04:42:00Z | # Qwen3-235B-A22B-abliterated-FP8
An **FP8-quantized abliterated** version of [Qwen/Qwen3-235B-A22B](https://huggingface.co/Qwen/Qwen3-235B-A22B). **This is the recommended version for inference** — it fits on 4x RTX Pro 6000 GPUs (384 GB total) and serves well under vLLM.
Abliteration removes the dominant refusal di... | [
{
"start": 2,
"end": 33,
"text": "Qwen3-235B-A22B-abliterated-FP8",
"label": "benchmark name",
"score": 0.9064347147941589
},
{
"start": 85,
"end": 100,
"text": "Qwen3-235B-A22B",
"label": "benchmark name",
"score": 0.8760652542114258
},
{
"start": 130,
"end":... |
qvac/fabric-llm-finetune-bitnet | qvac | 2026-03-17T19:54:12Z | 511 | 3 | null | [
"gguf",
"bitnet.cpp",
"lora",
"msft",
"fine-tuning",
"biomedical",
"cross-platform",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-13T14:10:49Z | # 🚀 QVAC Cross-Platform 1 Bit and 2 Bit LoRA Adapters
Fine-tuned bitnet LoRA adapters trained using [qvac-rnd-fabric-llm-bitnet](https://github.com/tetherto/qvac-rnd-fabric-llm-bitnet) - the first truly cross-platform bitnet inference and LoRA fine-tuning framework for Large Language Models. These adapters work on **... | [] |
Ex0bit/Qwen3-VLTO-32B-Instruct-NVFP4 | Ex0bit | 2025-11-03T14:59:12Z | 5,156 | 1 | null | [
"safetensors",
"qwen3",
"text-generation",
"quantization",
"nvfp4",
"nvidia",
"dgx-spark",
"blackwell",
"model_hub_mixin",
"pytorch_model_hub_mixin",
"conversational",
"en",
"base_model:qingy2024/Qwen3-VLTO-32B-Instruct",
"base_model:quantized:qingy2024/Qwen3-VLTO-32B-Instruct",
"license... | text-generation | 2025-11-03T14:01:16Z | # Qwen3-VLTO-32B-Instruct-NVFP4
This is an NVFP4 quantized version of [qingy2024/Qwen3-VLTO-32B-Instruct](https://huggingface.co/qingy2024/Qwen3-VLTO-32B-Instruct), optimized for NVIDIA DGX Spark systems with Blackwell GB10 GPUs.
## Model Description
- **Base Model:** qingy2024/Qwen3-VLTO-32B-Instruct
- **Quantizati... | [] |
MongoDB/mdbr-leaf-ir | MongoDB | 2025-09-29T23:58:02Z | 5,976 | 64 | sentence-transformers | [
"sentence-transformers",
"onnx",
"safetensors",
"bert",
"feature-extraction",
"transformers",
"sentence-similarity",
"text-embeddings-inference",
"information-retrieval",
"knowledge-distillation",
"transformers.js",
"en",
"arxiv:2509.12539",
"arxiv:2205.13147",
"license:apache-2.0",
"e... | sentence-similarity | 2025-08-08T01:15:20Z | <div style="display: flex; justify-content: center;">
<div style="display: flex; align-items: center; gap: 10px;">
<img src="logo.webp" alt="MongoDB Logo" style="height: 36px; width: auto; border-radius: 4px;">
<span style="font-size: 32px; font-weight: bold">MongoDB/mdbr-leaf-i... | [] |
lyf/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive-NVFP4 | lyf | 2026-04-25T08:40:21Z | 15,888 | 10 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"qwen3.5",
"nvfp4",
"quantized",
"uncensored",
"multimodal",
"vision",
"gated-deltanet",
"tool-calling",
"conversational",
"base_model:HauhauCS/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive",
"base_model:quantized:HauhauCS/Qwen... | image-text-to-text | 2026-03-16T14:43:23Z | ### news: I made a nvfp4 quant for [HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive) too!
Please check my profile or go [here](https://huggingface.co/lyf/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-NVFP4)
# Qwen3.5-27B-Uncensored-HauhauCS-A... | [] |
dleemiller/EttinX-nli-s | dleemiller | 2025-10-26T23:27:34Z | 155 | 1 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"modernbert",
"cross-encoder",
"reranker",
"generated_from_trainer",
"dataset_size:942069",
"loss:PrecomputedDistillationLoss",
"text-classification",
"en",
"dataset:dleemiller/all-nli-distill",
"base_model:jhu-clsp/ettin-encoder-68m",
"base_model:fine... | text-classification | 2025-09-09T03:00:14Z | # EttinX Cross-Encoder: Natural Language Inference (NLI)
This cross encoder performs sequence classification for contradiction/neutral/entailment labels. This has
drop-in compatibility with comparable sentence transformers cross encoders.
To train this model, I added teacher logits to the all-nli dataset `dleemiller/... | [] |
mradermacher/Qwen3.5-27B-Claude-4.6-OS-INSTRUCT-i1-GGUF | mradermacher | 2026-03-10T15:36:32Z | 5,576 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres",
"story",
"writing",
"viv... | null | 2026-03-10T13:45:00Z | ## 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_... | [
{
"start": 634,
"end": 676,
"text": "Qwen3.5-27B-Claude-4.6-OS-INSTRUCT-i1-GGUF",
"label": "benchmark name",
"score": 0.6856094002723694
},
{
"start": 750,
"end": 789,
"text": "Qwen3.5-27B-Claude-4.6-OS-INSTRUCT-GGUF",
"label": "benchmark name",
"score": 0.620440185070037... |
llm-semantic-router/mmbert32k-feedback-detector-merged | llm-semantic-router | 2026-03-06T02:28:07Z | 1,105 | 1 | transformers | [
"transformers",
"onnx",
"safetensors",
"modernbert",
"text-classification",
"feedback-detection",
"user-satisfaction",
"mmbert",
"32k-context",
"en",
"zh",
"fr",
"es",
"multilingual",
"dataset:llm-semantic-router/feedback-detector-dataset",
"base_model:llm-semantic-router/mmbert-32k-ya... | text-classification | 2026-01-31T20:08:58Z | # mmBERT-32K Feedback Detector (Merged)
A 4-class user feedback classifier based on [mmbert-32k-yarn](https://huggingface.co/llm-semantic-router/mmbert-32k-yarn). This is the **merged** version with LoRA weights integrated - no PEFT library required.
## Model Description
This model classifies user messages into 4 fe... | [
{
"start": 857,
"end": 859,
"text": "F1",
"label": "benchmark name",
"score": 0.8734970688819885
},
{
"start": 889,
"end": 891,
"text": "F1",
"label": "benchmark name",
"score": 0.8599953651428223
}
] |
OpenVINO/Phi-3.5-mini-instruct-int4-cw-ov | OpenVINO | 2025-07-08T22:42:32Z | 501 | 2 | null | [
"openvino",
"phi3",
"custom_code",
"base_model:microsoft/Phi-3.5-mini-instruct",
"base_model:quantized:microsoft/Phi-3.5-mini-instruct",
"license:mit",
"region:us"
] | null | 2025-07-08T22:41:09Z | # Phi-3.5-mini-instruct-int4-cw-ov
* Model creator: [microsoft](https://huggingface.co/microsoft)
* Original model: [Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct)
## Description
This is [Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) model converted to ... | [] |
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