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/GRM-7b-i1-GGUF | mradermacher | 2026-05-01T09:20:14Z | 2,083 | 1 | transformers | [
"transformers",
"gguf",
"reasoning",
"math",
"code",
"general",
"en",
"dataset:open-thoughts/OpenThoughts3-1.2M",
"dataset:nvidia/OpenCodeReasoning-2",
"dataset:nvidia/OpenMathReasoning",
"dataset:OpenMed/Medical-Reasoning-SFT-GPT-OSS-120B-V2",
"base_model:OrionLLM/GRM-7b",
"base_model:quant... | null | 2026-03-14T01:38:31Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
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"end": 621,
"text": "GRM-7b-i1-GGUF",
"label": "benchmark name",
"score": 0.643437922000885
},
{
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"text": "GRM-7b-i1-GGUF",
"label": "benchmark name",
"score": 0.6212357878684998
},
{
"start": 1325,
"end": 1339,
"... |
tencent/POINTS-Seeker | tencent | 2026-04-26T13:36:29Z | 366 | 7 | transformers | [
"transformers",
"safetensors",
"text-generation",
"conversational",
"custom_code",
"en",
"zh",
"arxiv:2604.14029",
"base_model:Qwen/Qwen3-8B-Base",
"base_model:finetune:Qwen/Qwen3-8B-Base",
"license:other",
"region:us"
] | text-generation | 2026-03-24T03:09:43Z | <p align="center">
<img src="assets/points_seeker_logo.png" width="480"/>
<p>
<p align="center">
<a href="https://huggingface.co/tencent/POINTS-Seeker">
<img src="https://img.shields.io/badge/%F0%9F%A4%97_HuggingFace-Model-ffbd45.svg" alt="HuggingFace">
</a>
<a href="https://arxiv.org/pdf/2604.14029">
... | [] |
huihui-ai/Huihui3.5-67B-A3B | huihui-ai | 2026-04-16T03:28:48Z | 340 | 11 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"conversational",
"base_model:Hcompany/Holo3-35B-A3B",
"base_model:finetune:Hcompany/Holo3-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-04-05T17:06:17Z | # huihui-ai/Huihui3.5-67B-A3B
## Model Overview
huihui-ai/Huihui3.5-67B-A3B is a **Mixture of Experts (MoE)** language model developed by **huihui.ai**, built upon the **[Qwen/Qwen3.5-35B-A3B](https://huggingface.co/Qwen/Qwen3.5-35B-A3B)** base model. It enhances the standard Transformer architecture by replacing MLP ... | [] |
Motif-Technologies/Motif-2-12.7B-Base | Motif-Technologies | 2026-03-10T00:57:12Z | 107 | 27 | transformers | [
"transformers",
"safetensors",
"Motif",
"text-generation",
"text-generation-inference",
"conversational",
"custom_code",
"en",
"ko",
"arxiv:2511.07464",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-10-20T12:32:25Z | Last update: 12 Nov. 2025
# Introduction
We are pleased to announce **Motif-2-12.7B-Base**, a 12.7-billion-parameter language model. Detailed information is found in the technical report: [https://arxiv.org/abs/2511.07464](https://arxiv.org/abs/2511.07464).
# Evaluation
All models listed in the table below are **ba... | [
{
"start": 72,
"end": 90,
"text": "Motif-2-12.7B-Base",
"label": "benchmark name",
"score": 0.7993428111076355
},
{
"start": 457,
"end": 470,
"text": "Motif-2-12.7B",
"label": "benchmark name",
"score": 0.7538011074066162
}
] |
facebook/musicgen-stereo-small | facebook | 2024-03-06T14:41:16Z | 1,518 | 40 | transformers | [
"transformers",
"pytorch",
"safetensors",
"musicgen",
"text-to-audio",
"audiocraft",
"arxiv:2306.05284",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text-to-audio | 2023-10-23T14:17:39Z | # MusicGen - Stereo - Small - 300M
We further release a set of stereophonic capable models. Those were fine tuned for 200k updates starting
from the mono models. The training data is otherwise identical and capabilities and limitations are shared with the base modes. The stereo models work by getting 2 streams of toke... | [] |
lmstudio-community/Qwen2.5-Coder-32B-Instruct-MLX-8bit | lmstudio-community | 2024-11-13T03:10:10Z | 62,815 | 4 | mlx | [
"mlx",
"safetensors",
"qwen2",
"code",
"codeqwen",
"chat",
"qwen",
"qwen-coder",
"text-generation",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-Coder-32B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-32B-Instruct",
"license:apache-2.0",
"8-bit",
"region:us"
] | text-generation | 2024-11-11T22:25:15Z | ## 💫 Community Model> Qwen2.5 Coder 32B Instruct by Qwen
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
Compatibility: Apple Silicon Macs<br>
**Model creator:** [Qwen]... | [] |
CYFRAGOVPL/Llama-PLLuM-8B-instruct | CYFRAGOVPL | 2025-11-19T12:19:01Z | 784 | 9 | null | [
"safetensors",
"llama",
"pl",
"arxiv:2511.03823",
"license:llama3.1",
"region:us"
] | null | 2025-02-07T02:32:28Z | <p align="center">
<img src="https://pllum.org.pl/_nuxt/PLLuM_logo_RGB_color.DXNEc-VR.png">
</p>
# PLLuM: A Family of Polish Large Language Models
## Overview
PLLuM is a family of large language models (LLMs) specialized in Polish and other Slavic/Baltic languages, with additional English data incorporated for broa... | [] |
RedHatAI/Llama-3.3-70B-Instruct-speculator.eagle3 | RedHatAI | 2025-12-02T15:59:37Z | 341 | 1 | null | [
"safetensors",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"neuralmagic",
"redhat",
"speculators",
"eagle3",
"text-generation",
"custom_code",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"arxiv:2503.01840",
"license:llama3.3",
"region:us"
] | text-generation | 2025-09-18T16:34:43Z | # Llama-3.3-70B-Instruct-speculator.eagle3
## Model Overview
- **Verifier:** meta-llama/Llama-3.3-70B-Instruct
- **Speculative Decoding Algorithm:** EAGLE-3
- **Model Architecture:** Eagle3Speculator
- **Release Date:** 09/15/2025
- **Version:** 1.0
- **Model Developers:** RedHat
This is a speculator model designed f... | [] |
mradermacher/Nanbeige4.1-3B-i1-GGUF | mradermacher | 2026-02-12T17:25:55Z | 2,057 | 5 | transformers | [
"transformers",
"gguf",
"llm",
"nanbeige",
"en",
"zh",
"base_model:Nanbeige/Nanbeige4.1-3B",
"base_model:quantized:Nanbeige/Nanbeige4.1-3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-12T14:14:08Z | ## 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_... | [
{
"start": 615,
"end": 637,
"text": "Nanbeige4.1-3B-i1-GGUF",
"label": "benchmark name",
"score": 0.6365841031074524
}
] |
UmeAiRT/ComfyUI-Auto-Installer-Assets | UmeAiRT | 2026-05-02T21:34:44Z | 51,082 | 160 | diffusers | [
"diffusers",
"onnx",
"safetensors",
"gguf",
"comfyui",
"models",
"flux",
"wan",
"qwen",
"hidream",
"ltxv",
"license:mit",
"region:us"
] | null | 2024-09-26T13:03:26Z | # ComfyUI Auto-Installer — Assets
[](https://huggingface.co/UmeAiRT/ComfyUI-Auto_installer)
[](https://www.modelscope.ai/datasets/UmeAiRT/ComfyUI-Auto-Installer-Assets... | [] |
mradermacher/GUI-Owl-1.5-2B-Instruct-i1-GGUF | mradermacher | 2026-02-20T15:01:45Z | 223 | 1 | transformers | [
"transformers",
"gguf",
"arxiv:2602.16855",
"en",
"base_model:mPLUG/GUI-Owl-1.5-2B-Instruct",
"base_model:quantized:mPLUG/GUI-Owl-1.5-2B-Instruct",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-16T13:33:42Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
kakaocorp/kanana-safeguard-siren-8b | kakaocorp | 2025-05-27T00:36:39Z | 160 | 11 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"ko",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-05-26T12:57:45Z | # Kanana Safeguard-Siren
[📦 Models](https://huggingface.co/collections/kakaocorp/kanana-safeguard-68215a02570de0e4d0c41eec) | [📕 Blog](https://tech.kakao.com/posts/705)
## 모델 상세설명
Kanana Safeguard-Siren은 카카오의 자체 언어모델인 Kanana 8B 기반으로 한 법적∙정책적 위험 탐지 모델입니다. 이 모델은 대화형 AI 시스템 내 사용자의 발화로부터 법적∙정책적 주의가 필요한 발화를 분류하도록 학습되었습니... | [] |
mradermacher/Hermes-3-Llama-3.2-3B-abliterated-GGUF | mradermacher | 2025-03-03T09:53:10Z | 2,382 | 5 | transformers | [
"transformers",
"gguf",
"Llama-3",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation",
"function calling",
"json mode",
"axolotl",
"roleplaying",
"chat",
"abliterated",
"en",
"base_model:lunahr/Hermes-3-Llama-3.2-3B-abliterated",
"base_model:quantized:lunahr... | null | 2024-12-14T22:37:30Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/lunahr/Hermes-3-Llama-3.2-3B-abliterated
<!-- provided-files -->
weighted/imatrix quants are available at https://huggin... | [] |
firdhokk/speech-emotion-recognition-with-openai-whisper-large-v3 | firdhokk | 2025-11-01T03:19:07Z | 13,505 | 107 | transformers | [
"transformers",
"safetensors",
"whisper",
"audio-classification",
"generated_from_trainer",
"base_model:openai/whisper-large-v3",
"base_model:finetune:openai/whisper-large-v3",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | audio-classification | 2024-09-21T12:01:48Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 🎧 **Speech Emotion Recognition with Whisper**
This project leverages the **Whisper** model to recognize emotions in speech. The ... | [] |
HuggingFaceTB/SmolVLM-Base | HuggingFaceTB | 2024-11-28T16:22:07Z | 1,377 | 87 | transformers | [
"transformers",
"safetensors",
"idefics3",
"image-text-to-text",
"conversational",
"en",
"dataset:HuggingFaceM4/the_cauldron",
"dataset:HuggingFaceM4/Docmatix",
"base_model:HuggingFaceTB/SmolLM2-1.7B-Instruct",
"base_model:finetune:HuggingFaceTB/SmolLM2-1.7B-Instruct",
"license:apache-2.0",
"e... | image-text-to-text | 2024-11-22T16:58:48Z | <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/SmolVLM.png" width="800" height="auto" alt="Image description">
# SmolVLM
SmolVLM is a compact open multimodal model that accepts arbitrary sequences of image and text inputs to produce text outputs.
Designed for efficiency, SmolV... | [] |
DripGhad1223/Qwen3-4B-Kimi2.5-Reasoning-Distilled-GGUF | DripGhad1223 | 2026-03-20T06:11:49Z | 725 | 1 | null | [
"gguf",
"qwen3",
"llama.cpp",
"unsloth",
"reasoning",
"distillation",
"sft",
"text-generation",
"en",
"dataset:khazarai/kimi-2.5-high-reasoning-250x",
"base_model:Qwen/Qwen3-4B-Thinking-2507",
"base_model:quantized:Qwen/Qwen3-4B-Thinking-2507",
"license:apache-2.0",
"endpoints_compatible",... | text-generation | 2026-03-20T06:11:48Z | # Qwen3-4B-Kimi2.5-Reasoning-Distilled : GGUF
`Qwen3-4B-Kimi2.5-Reasoning-Distilled` is a fine-tuned language model optimized for structured, long-form reasoning. It is derived from the Qwen3-4b-Thinking-2507 base model and fine-tuned using a specialized distillation dataset generated by Kimi-2.5-thinking.
This model... | [] |
lightonai/ColBERT-Zero-supervised | lightonai | 2026-02-23T11:38:27Z | 540 | 3 | PyLate | [
"PyLate",
"safetensors",
"modernbert",
"ColBERT",
"sentence-transformers",
"sentence-similarity",
"embeddings",
"retrieval",
"feature-extraction",
"generated_from_trainer",
"dataset_size:1695819",
"loss:Contrastive",
"en",
"arxiv:2602.16609",
"arxiv:2402.01613",
"arxiv:1908.10084",
"... | sentence-similarity | 2026-02-19T09:59:24Z | <div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/609bbe2f4932693ca2009d6a/xn21ll7YRj0ZftBli3-T5.jpeg" width="600" height="auto">
[](https://lighton.ai)
[![LinkedIn](https://img.shields.io/badge/LightOn-... | [
{
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"text": "BEIR",
"label": "benchmark name",
"score": 0.8204232454299927
},
{
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"end": 926,
"text": "SOTA",
"label": "evaluation metric",
"score": 0.7626886367797852
},
{
"start": 930,
"end": 934,
"text": "BEIR",
"... |
mradermacher/IoGPT-A1-GGUF | mradermacher | 2026-02-07T11:56:41Z | 107 | 1 | transformers | [
"transformers",
"gguf",
"sft",
"trl",
"galaxy-mind-ai-labs",
"CoT",
"en",
"base_model:galaxyMindAiLabs/IoGPT-A1-Thinking",
"base_model:quantized:galaxyMindAiLabs/IoGPT-A1-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-14T06:30:34Z | ## 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": 523,
"end": 536,
"text": "IoGPT-A1-GGUF",
"label": "benchmark name",
"score": 0.7233685255050659
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{
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"end": 636,
"text": "IoGPT-A1-i1-GGUF",
"label": "benchmark name",
"score": 0.6892905235290527
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{
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"... |
DavidAU/Qwen3.5-9B-Star-Trek-TNG-DS9-Heretic-Uncensored-Thinking | DavidAU | 2026-03-22T03:41:55Z | 214 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"unsloth",
"fine tune",
"abliterated",
"uncensored",
"heretic",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fictio... | image-text-to-text | 2026-03-19T01:34:37Z | <h2>Qwen3.5-9B-Star-Trek-TNG-DS9-Heretic-Uncensored-Thinking</h2>
<img src="borg-escape.gif" style="float:right; width:300px; height:300px; padding:10px;">
Fine tune via Unsloth of Qwen 3.5 9B dense model using Star Trek TNG/DS9 in house datasets.
This was about giving the model specific "trek" training and knowled... | [
{
"start": 1511,
"end": 1527,
"text": "Performance\n\nKLD",
"label": "evaluation metric",
"score": 0.750132143497467
}
] |
mradermacher/AgentFlow-Planner-7B-GGUF | mradermacher | 2025-10-06T15:28:38Z | 552 | 3 | transformers | [
"transformers",
"gguf",
"en",
"base_model:AgentFlow/agentflow-planner-7b",
"base_model:quantized:AgentFlow/agentflow-planner-7b",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-01T12:54:59Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
Jackrong/Gemopus-4-E4B-it-GGUF | Jackrong | 2026-04-10T02:03:56Z | 4,749 | 17 | null | [
"gguf",
"gemma4",
"gemma",
"edge-ai",
"instruction-tuned",
"reasoning",
"privacy",
"human-preference-alignment",
"image-text-to-text",
"en",
"zh",
"ko",
"ja",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2026-04-08T03:05:57Z | # 🌟 Gemopus-4-E4B-it
## 🎯 Development Motivation & Industry Insights
I still remember the days of running the Llama 3.1 8B Instruct model on my MacBook Air M1. Back then,... | [] |
baa-ai/Nemotron-3-Super-120B-A12B-MINT-GGUF | baa-ai | 2026-04-16T11:37:17Z | 349 | 1 | gguf | [
"gguf",
"quantized",
"base_model:nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16",
"base_model:quantized:nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-27T14:34:17Z | # Nemotron-3-Super-120B-A12B-MINT-GGUF
GGUF quantized version of [nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16) optimised by [baa.ai](https://baa.ai).
> Hybrid Mamba-MoE-Attention architecture (512 experts, 22 active per token) — Q4_K_... | [
{
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"end": 321,
"text": "Q4_K_M",
"label": "evaluation metric",
"score": 0.6757030487060547
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{
"start": 595,
"end": 601,
"text": "Q4_K_M",
"label": "evaluation metric",
"score": 0.6577247381210327
}
] |
cloudyu/gpt-oss-120b-Sonnet-Reasoning-Distilled | cloudyu | 2026-04-25T09:21:00Z | 200 | 2 | mlx | [
"mlx",
"safetensors",
"gpt_oss",
"lora",
"badam",
"apple-silicon",
"moe",
"reasoning",
"fine-tuned",
"en",
"zh",
"dataset:Roman1111111/claude-sonnet-4.6-100000X-filtered",
"arxiv:2305.16354",
"4-bit",
"region:us"
] | null | 2026-04-24T05:53:51Z | # cloudyu/gpt-oss-120b-Sonnet-Reasoning-Distilled
**A full fine-tuned MoE reasoning model of 60G size, distilled from Claude Sonnet 4.6 and optimized for Apple Silicon based on MLX. Fast, capable, and runs entirely on-device.**
> **Recommended temperature: `0.95`** — this model was trained on complex reasoning traces... | [
{
"start": 178,
"end": 181,
"text": "MLX",
"label": "benchmark name",
"score": 0.604744553565979
},
{
"start": 752,
"end": 755,
"text": "MLX",
"label": "benchmark name",
"score": 0.6199588179588318
},
{
"start": 1697,
"end": 1721,
"text": "Average keyword ... |
mradermacher/Qwen3-VL-8B-Instruct-Unredacted-MAX-i1-GGUF | mradermacher | 2026-02-16T11:29:10Z | 273 | 2 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"vllm",
"pytorch",
"bf16",
"max",
"en",
"base_model:prithivMLmods/Qwen3-VL-8B-Instruct-Unredacted-MAX",
"base_model:quantized:prithivMLmods/Qwen3-VL-8B-Instruct-Unredacted-MAX",
... | null | 2026-02-16T10:46:43Z | ## 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_... | [] |
ZERO-POINT-AI/Miss-MARTHA-hot-POCKET-4B-OMNI-ed | ZERO-POINT-AI | 2026-04-23T16:55:08Z | 1,902 | 12 | null | [
"safetensors",
"gguf",
"gemma3",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-13T04:37:07Z | ---
tags:
- Z.P.I
- ghost pass
- Scottish
- dundee
- code
- nsfw
- adults only
- ZERO-POINT-AI
- Miss_MARTHA
- Mr_Martin
- pocket
- flirt
base_model:
- ZERO-POINT-INTELLIGENCE-LTD/MARTHA-POCKET-GEM-4B-v1
license: apache-2.0
language:
- en
- zh
- ko
- th
- es
- fr
- de
- ja
- mn
pipeline_tag: image-text-to-text
# MARTH... | [] |
qualcomm/SINet | qualcomm | 2026-04-28T07:00:44Z | 600 | 3 | pytorch | [
"pytorch",
"android",
"image-segmentation",
"arxiv:1911.09099",
"license:other",
"region:us"
] | image-segmentation | 2024-02-25T22:41:01Z | 
# SINet: Optimized for Qualcomm Devices
SINet is a machine learning model that is designed to segment people from close-up portrait images in real time.
This is based on the implementation of SINet foun... | [] |
nvidia/C-RADIOv4-H | nvidia | 2026-01-30T12:40:28Z | 4,744 | 61 | transformers | [
"transformers",
"safetensors",
"feature-extraction",
"custom_code",
"arxiv:2312.06709",
"arxiv:2410.01680",
"arxiv:2412.07679",
"arxiv:2502.16025",
"arxiv:2601.17237",
"license:other",
"region:us"
] | feature-extraction | 2026-01-26T14:06:48Z | # Model Overview
## Description
This model performs visual feature extraction.
For instance, RADIO generates image embeddings that can be used by a downstream model to classify images.
C-RADIOv4 models are available in multiple sizes:
* Shape-Optimized (431M parameters).
* Huge (653M parameters).
C-RADIOv4 was trai... | [] |
google/t5-v1_1-xxl | google | 2023-01-24T16:52:41Z | 509,261 | 146 | transformers | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2002.05202",
"arxiv:1910.10683",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | 2022-03-02T23:29:05Z | [Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) Version 1.1
## Version 1.1
[T5 Version 1.1](https://github.com/google-research/text-to-text-transfer-transformer/blob/master/released_checkpoints.md#t511) includes the following improvements compared to the original T5 model- G... | [] |
splats/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-oQ8e | splats | 2026-04-29T03:44:01Z | 291 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"oQe",
"enhanced",
"mixed-precision",
"reasoning",
"distilled",
"moe",
"base_model:lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled",
"base_model:quantized:lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled",
"license:apache-2.0",
"8-b... | null | 2026-04-20T16:16:51Z | # Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled — oQe Series
This repository contains **Enhanced (oQe)** MLX quants for the reasoning-distilled variant of Qwen3.6-35B-A3B. While standard quants are often made in one "streaming" pass, the **oQe** series uses a multi-stage optimization path to make sure the model ... | [] |
Qwen/Qwen3.5-2B-Base | Qwen | 2026-04-23T11:13:46Z | 61,504 | 66 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-02-28T23:57:23Z | # Qwen3.5-2B-Base
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
[](https://chat.qwen.ai)
> [!Note]
> This repository contains model weights and configuration files for the pre-trained ... | [] |
bartowski/miromind-ai_MiroThinker-v1.0-72B-GGUF | bartowski | 2025-11-23T01:38:01Z | 114 | 1 | null | [
"gguf",
"agent",
"open-source",
"miromind",
"deep-research",
"text-generation",
"en",
"base_model:miromind-ai/MiroThinker-v1.0-72B",
"base_model:quantized:miromind-ai/MiroThinker-v1.0-72B",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-11-22T20:29:48Z | ## Llamacpp imatrix Quantizations of MiroThinker-v1.0-72B by miromind-ai
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/b7127">b7127</a> for quantization.
Original model: https://huggingface.co/miromind-ai/MiroThinker-v1.0-72B
... | [] |
amkkk/Qwen3.5-0.8B-finetuned-lora-uncensored | amkkk | 2026-03-06T18:45:10Z | 178 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"finetune",
"lora",
"lora-merged",
"refusal-direction",
"model-editing",
"qwen3.5",
"multimodal",
"vision",
"conversational",
"dataset:Guilherme34/uncensor",
"base_model:Qwen/Qwen3.5-0.8B",
"base_model:finetune:Qwen/Qwen3.... | image-text-to-text | 2026-03-06T01:21:37Z | # qwen3.5-0.8b-finetuned-ablated-e2-ablation020
Merged checkpoint release of the **epoch-2 LoRA finetune** applied on top of the **all-layer ablated** `Qwen/Qwen3.5-0.8B` checkpoint.
This repo is intended to be uploaded **as a normal full model repo** for easy inference, similar to your earlier uploads. It is **not a... | [
{
"start": 153,
"end": 170,
"text": "Qwen/Qwen3.5-0.8B",
"label": "benchmark name",
"score": 0.8237926959991455
},
{
"start": 993,
"end": 1010,
"text": "Qwen/Qwen3.5-0.8B",
"label": "benchmark name",
"score": 0.8769099116325378
}
] |
mradermacher/Qwen3-14B-Guardpoint-i1-GGUF | mradermacher | 2026-01-14T11:44:48Z | 335 | 2 | transformers | [
"transformers",
"gguf",
"guardpoint",
"valiant",
"valiant-labs",
"qwen",
"qwen-3",
"qwen-3-14b",
"14b",
"reasoning",
"science",
"science-reasoning",
"medicine",
"internal-medicine",
"clinical-diagnosis",
"medical-understanding",
"medical-reasoning",
"medical-diagnosis",
"medical-... | null | 2026-01-14T07:57:01Z | ## 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": 624,
"end": 652,
"text": "Qwen3-14B-Guardpoint-i1-GGUF",
"label": "benchmark name",
"score": 0.6637318730354309
}
] |
NeuR0mancR/Pale-Sonneteer | NeuR0mancR | 2026-03-20T17:31:48Z | 162 | 1 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"multilingual",
"writing",
"RP",
"conversational",
"en",
"fr",
"base_model:Ateron/Sketch-Cydonia-24B-V1.2",
"base_model:merge:Ateron/Sketch-Cydonia-24B-V1.2",
"base_model:Darkhn/Magistral-2509-24B-Text-Only... | text-generation | 2026-03-20T16:46:23Z | 
> *"Je meurs aussi de ta mélancolie... Un soir de demi-brume"*
> *– Émile Nelligan*
# Pale Sonneteer - Gothic Poet
My first model. A simple experiment with karcher. As we create new models, it becomes clear we nearly satured what can be created with mistral 24B, magistral 2509 included, ... | [] |
mradermacher/Huihui-Qwen3-Coder-Next-Opus-4.6-Reasoning-Distilled-abliterated-i1-GGUF | mradermacher | 2026-05-03T03:00:08Z | 267 | 2 | transformers | [
"transformers",
"gguf",
"qwen3",
"reasoning",
"distillation",
"claude-opus",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-Qwen3-Coder-Next-Opus-4.6-Reasoning-Distilled-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3-Coder-Next-Opus-4.6-Reasoning-Distilled-abliterate... | null | 2026-05-01T20:27:27Z | ## 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/memo-32b-i1-GGUF | mradermacher | 2025-12-18T19:49:49Z | 1,616 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:yapeichang/memo-32b",
"base_model:quantized:yapeichang/memo-32b",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-18T17:14:16Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
unsloth/Qwen3.5-35B-A3B-GGUF | unsloth | 2026-03-05T17:25:50Z | 2,137,943 | 728 | null | [
"gguf",
"qwen3_5_moe",
"unsloth",
"image-text-to-text",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | image-text-to-text | 2026-02-24T14:48:31Z | <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 ... | [] |
openthaigpt/thai-trocr | openthaigpt | 2024-11-04T03:39:34Z | 1,819 | 25 | transformers | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"image-text-to-text",
"trocr",
"image-to-text",
"th",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-to-text | 2024-09-29T15:13:49Z | # Thai-TrOCR Model
## Introduction
ThaiTrOCR is a fine-tuned version of the [TrOCR base handwritten model](https://huggingface.co/microsoft/trocr-base-handwritten), specifically crafted for Optical Character Recognition (OCR) in both Thai and English. This multilingual model adeptly processes handwritten text-line im... | [] |
QuantTrio/Qwen3.5-2B-AWQ | QuantTrio | 2026-03-04T03:18:24Z | 1,213 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-2B-Base",
"base_model:quantized:Qwen/Qwen3.5-2B-Base",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"awq",
"region:us"
] | image-text-to-text | 2026-03-04T02:28:29Z | # Qwen3.5-2B
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
[](https://chat.qwen.ai)
> [!Note]
> This repository contains model weights and configuration files for the post-trained mode... | [] |
llmfan46/Q3.5-BlueStar-v2-27B-ultra-uncensored-heretic-v2-GGUF | llmfan46 | 2026-03-27T19:54:52Z | 1,203 | 2 | null | [
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"dataset:zerofata/Instruct-Anime",
"dataset:zerofata/Gemini-3.1-Pro-SmallWiki",
"dataset:zerofata/Gemini-3.1-Pro-GLM5-Characters",
"dataset:zerofata/Roleplay-Anime-Characters",
"base_model:llmfan46/Q3.5-BlueStar-v2-27B-ultra-un... | null | 2026-03-23T19:54:03Z | <div style="background-color: #ff4444; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
<h2 style="color: white; margin: 0 0 10px 0;">🚨⚠️ I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT ⚠️🚨</h2>
<p style="font-size: 18px; margin: 0 0 15px 0;">I can no longer upload new models u... | [] |
UsefulSensors/moonshine-streaming-small | UsefulSensors | 2026-02-10T17:51:23Z | 5,611 | 6 | transformers | [
"transformers",
"safetensors",
"moonshine_streaming",
"automatic-speech-recognition",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2026-01-06T22:44:46Z | # Moonshine Streaming
[[Paper]](https://download.moonshine.ai/docs/moonshine_streaming_paper.pdf)
This is the model card for the Moonshine Streaming automatic speech
recognition (ASR) models trained and released by Useful Sensors. Moonshine Streaming
pairs a lightweight 50~Hz audio frontend with a sliding-window Tran... | [] |
Outlier-Ai/Outlier-40B-V3.2 | Outlier-Ai | 2026-04-29T02:06:23Z | 2,040 | 1 | transformers | [
"transformers",
"outlier_moe",
"text-generation",
"superseded",
"archival",
"mixture-of-experts",
"moe",
"ternary",
"1-bit",
"qwen2.5",
"outlier",
"outlier-moe",
"research",
"overlay",
"sparse",
"local-llm",
"on-device",
"apple-silicon",
"mac",
"conversational",
"custom_code"... | text-generation | 2026-04-10T15:55:07Z | > ⚠️ **SUPERSEDED — use [Outlier-Ai/Outlier-40B](https://huggingface.co/Outlier-Ai/Outlier-40B) instead.** These weights are retained live for reproducibility of earlier benchmark runs. All current research has moved to the successor.
# Outlier 40B V3.2 (Superseded)
Earlier ternary MoE overlay on frozen [Qwen2.5-14B-... | [
{
"start": 36,
"end": 47,
"text": "Outlier-40B",
"label": "benchmark name",
"score": 0.8559806942939758
},
{
"start": 83,
"end": 94,
"text": "Outlier-40B",
"label": "benchmark name",
"score": 0.8943687081336975
},
{
"start": 238,
"end": 249,
"text": "Outli... |
allenai/Olmo-3.1-32B-Instruct | allenai | 2026-01-05T16:25:12Z | 67,184 | 72 | transformers | [
"transformers",
"safetensors",
"olmo3",
"text-generation",
"conversational",
"en",
"dataset:allenai/Dolci-Instruct-RL",
"arxiv:2512.13961",
"base_model:allenai/Olmo-3.1-32B-Instruct-DPO",
"base_model:finetune:allenai/Olmo-3.1-32B-Instruct-DPO",
"license:apache-2.0",
"endpoints_compatible",
"... | text-generation | 2025-12-10T22:00:09Z | ## Model Details
<img alt="Logo for Olmo 3.1 32B Instruct model" src="olmo-instruct.png" width="307px" style="margin-left:'auto' margin-right:'auto' display:'block'">
# Model Card for Olmo-3.1-32B-Instruct
We introduce Olmo 3, a new family of 7B and 32B models both Instruct and Think variants. Long chain-of-thought... | [] |
HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1.5 | HIT-TMG | 2025-03-13T06:45:59Z | 1,033 | 65 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen2",
"feature-extraction",
"sentence-similarity",
"mteb",
"arxiv:2501.01028",
"license:mit",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | sentence-similarity | 2024-12-26T08:53:26Z | -
<h1 align="center">KaLM-Embedding</h1>
**KaLM-Embedding** is a series of embedding models adapted from auto-regressive LLMs with superior training data.
KaLM-embedding-multilingual-mini is trained from [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) with massive weakly-supervised pre-training and superv... | [] |
iitolstykh/GigaCheck-Detector-Multi | iitolstykh | 2026-04-23T15:20:00Z | 1,986 | 4 | gigacheck | [
"gigacheck",
"safetensors",
"mistral",
"token-classification",
"detr",
"ai-detection",
"multilingual",
"custom_code",
"en",
"ru",
"dataset:iitolstykh/LLMTrace_detection",
"arxiv:2509.21269",
"arxiv:2410.23728",
"base_model:mistralai/Mistral-7B-v0.3",
"base_model:finetune:mistralai/Mistra... | token-classification | 2025-09-25T08:25:07Z | # GigaCheck-Detector-Multi
<p style="text-align: center;">
<div align="center">
<img src="https://raw.githubusercontent.com/sweetdream779/LLMTrace-info/refs/heads/main/images/logo/GigaCheck-detector-multi.PNG" width="40%"/>
</div>
<p align="center">
<a href="https://sweetdream779.github.io/LLMTrace-info"> 🌐... | [] |
prithivMLmods/Qwen3-VL-4B-Instruct-Unredacted-MAX-GGUF | prithivMLmods | 2026-02-15T08:28:37Z | 2,933 | 6 | transformers | [
"transformers",
"gguf",
"qwen3_vl",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"max",
"llama.cpp",
"image-text-to-image",
"en",
"base_model:prithivMLmods/Qwen3-VL-4B-Instruct-Unredacted-MAX",
"base_model:quantized:prithivMLmods/Qwen3-VL-4B-Instruc... | image-text-to-image | 2026-02-14T12:11:07Z | # **Qwen3-VL-4B-Instruct-Unredacted-MAX-GGUF**
> Qwen3-VL-4B-Instruct-Unredacted-MAX is a sophisticated and unredacted evolution of the original Qwen3-VL-4B-Instruct model, meticulously fine-tuned using advanced abliterated training techniques designed to significantly reduce or neutralize internal refusal mechanisms ... | [] |
Rob1221rib/wan22-qx-encoders-gguf | Rob1221rib | 2026-03-14T14:17:35Z | 905 | 2 | diffusers | [
"diffusers",
"gguf",
"wan",
"text-to-video",
"image-generation",
"text-encoder",
"quantization",
"license:other",
"endpoints_compatible",
"region:us"
] | text-to-video | 2026-03-14T14:17:35Z | <!-- README Version: v1.1 -->
# WAN 2.2 QX Text Encoders (GGUF)
Quantized text encoder models for WAN (World Animated Network) 2.2 QX video generation system. These GGUF-format encoders provide efficient text-to-embedding conversion for text-to-video and image-to-video generation workflows with significantly reduced ... | [] |
Omartificial-Intelligence-Space/SA-Retrieval-Embeddings-0.2B | Omartificial-Intelligence-Space | 2025-12-23T11:33:56Z | 335 | 7 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"bert",
"sentence-similarity",
"feature-extraction",
"dense",
"retrieval",
"rag",
"generated_from_trainer",
"dataset_size:4038",
"loss:TripletLoss",
"loss:MultipleNegativesRankingLoss",
"ar",
"dataset:Omartificial-Intelligence-Space/Saudi-Semantic-Ch... | sentence-similarity | 2025-12-17T09:36:23Z | # SA-Retrieval-Embeddings-0.2B
### Saudi Arabic Retrieval-Optimized Sentence Embeddings
This model is a **retrieval-optimized SentenceTransformer**, fine-tuned from **Omartificial-Intelligence-Space/SA-STS-Embeddings-0.2B**, and specifically designed for:
- **Semantic retrieval**
- **RAG (Retrieval-Augmented Gene... | [] |
HKUSTAudio/AudioX-MAF | HKUSTAudio | 2026-02-18T04:49:55Z | 326 | 6 | null | [
"diffusion_cond",
"audio-generation",
"music-generation",
"text-to-audio",
"arxiv:2503.10522",
"base_model:HKUSTAudio/AudioX",
"base_model:finetune:HKUSTAudio/AudioX",
"license:cc-by-nc-4.0",
"region:us"
] | text-to-audio | 2026-02-10T13:09:51Z | # AudioX: A Unified Framework for Anything-to-Audio Generation
AudioX is a unified framework for anything-to-audio generation that integrates varied multimodal conditions (i.e., text, video, and audio signals). The core design is a Multimodal Adaptive Fusion module, which enables the effective fusion of diverse multim... | [] |
ibm-granite/granite-4.0-h-micro-base | ibm-granite | 2025-11-03T19:41:58Z | 2,467 | 35 | transformers | [
"transformers",
"safetensors",
"granitemoehybrid",
"text-generation",
"language",
"granite-4.0",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-16T19:54:40Z | [](https://mot.isitopen.ai/model/1162)
# Granite-4.0-H-Micro-Base
**Model Summary:**
Granite-4.0-H-Micro-Base is a decoder-only, long-context language model designed for a wide range of text-to-text generation tasks. It als... | [] |
QuantFactory/Meta-Llama-3-70B-Instruct-GGUF | QuantFactory | 2024-04-20T16:19:20Z | 1,657 | 47 | null | [
"gguf",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"text-generation",
"en",
"base_model:meta-llama/Meta-Llama-3-70B-Instruct",
"base_model:quantized:meta-llama/Meta-Llama-3-70B-Instruct",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-04-19T09:14:03Z | # Meta-Llama-3-70B-Instruct-GGUF
- This is GGUF quantized version of [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) created using llama.cpp
- **Re-uploaded with new end token**
## Model Details
Meta developed and released the Meta Llama 3 family of large language ... | [
{
"start": 565,
"end": 591,
"text": "common industry benchmarks",
"label": "benchmark name",
"score": 0.7157382369041443
},
{
"start": 1462,
"end": 1478,
"text": "Knowledge cutoff",
"label": "evaluation metric",
"score": 0.8057834506034851
}
] |
hugging-quants/Llama-3.2-1B-Instruct-Q4_K_M-GGUF | hugging-quants | 2024-09-25T16:15:26Z | 34,034 | 20 | null | [
"gguf",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"base_model:meta-llama/Llama-3.2-1B-Instruct",
"base_model:quantized:meta-llama/Llama-3.2-1B-Instruct",
"endpoints_compatib... | text-generation | 2024-09-25T15:04:08Z | # hugging-quants/Llama-3.2-1B-Instruct-Q4_K_M-GGUF
This model was converted to GGUF format from [`meta-llama/Llama-3.2-1B-Instruct`](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origina... | [] |
Synthyra/ESM2-8M | Synthyra | 2026-04-22T13:29:44Z | 1,127 | 3 | transformers | [
"transformers",
"safetensors",
"fast_esm",
"fill-mask",
"custom_code",
"arxiv:2412.05496",
"endpoints_compatible",
"region:us"
] | fill-mask | 2025-01-16T18:25:10Z | # NOTE
The GitHub with the implementation and requirements.txt can be found [here](https://github.com/Synthyra/FastPLMs.git)
# FastESM
FastESM is a Huggingface compatible plug in version of ESM2 rewritten with a newer PyTorch attention implementation.
Load any ESM2 models into a FastEsm model to dramatically sp... | [] |
mradermacher/Magma-R1-4B-AndroidControl-GGUF | mradermacher | 2025-12-05T06:17:39Z | 154 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:batwBMW/Magma-R1-4B-AndroidControl",
"base_model:quantized:batwBMW/Magma-R1-4B-AndroidControl",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-05T05:24:52Z | ## 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... | [
{
"start": 523,
"end": 554,
"text": "Magma-R1-4B-AndroidControl-GGUF",
"label": "benchmark name",
"score": 0.6512787342071533
}
] |
NousResearch/Hermes-3-Llama-3.2-3B | NousResearch | 2024-12-18T22:32:55Z | 22,889 | 176 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"Llama-3",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation",
"function calling",
"json mode",
"axolotl",
"roleplaying",
"chat",
"conversational",
"en",
"arxiv:2408.11857",
"license:llama3",
"... | text-generation | 2024-12-03T23:47:18Z | # Hermes 3 - Llama-3.2 3B
## Model Description
Hermes 3 3B is a small but mighty new addition to the Hermes series of LLMs by Nous Research, and is Nous's first fine-tune in this parameter class.... | [
{
"start": 2,
"end": 10,
"text": "Hermes 3",
"label": "benchmark name",
"score": 0.6886197328567505
},
{
"start": 337,
"end": 345,
"text": "Hermes 3",
"label": "benchmark name",
"score": 0.6996896862983704
},
{
"start": 430,
"end": 438,
"text": "Hermes 3",... |
reaperdoesntknow/Dualmind-Qwen-1.7B-Thinking | reaperdoesntknow | 2026-05-04T15:25:03Z | 921 | 1 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"qwen3",
"text-generation",
"sft",
"trl",
"dualmind",
"knowledge-distillation",
"thinking",
"opus",
"self-critique",
"convergent-intelligence",
"convergentintel",
"edge",
"distillation",
"conversational",
"en",
"dataset:nohurry/Opus-4... | text-generation | 2026-03-30T08:04:56Z | # Dualmind-Qwen-1.7B-Thinking
**Claude Opus 4.6 Reasoning Traces → 1.7B via DualMind SFT**
*Convergent Intelligence LLC: Research Division*
---
## What This Is
A 1.7B model trained on **2.5M+ tokens of Claude Opus 4.6 reasoning traces** using the DualMind SFT methodology. The training data comes from [Opus-4.6-Rea... | [] |
BAAI/BGE-VL-base | BAAI | 2026-04-10T06:25:27Z | 1,671 | 27 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"clip",
"multimodal-retrieval",
"embedding-model",
"sentence-similarity",
"custom_code",
"en",
"arxiv:2412.14475",
"base_model:openai/clip-vit-base-patch16",
"base_model:finetune:openai/clip-vit-base-patch16",
"license:mit",
"endpoints_compatible",
"... | sentence-similarity | 2025-02-25T03:13:42Z | <h1 align="center">MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval</h1>
<p align="center">
<a href="https://arxiv.org/abs/2412.14475">
<img alt="Build" src="http://img.shields.io/badge/cs.CV-arXiv%3A2412.14475-B31B1B.svg">
</a>
<a href="https://github.com/VectorSpaceLab/MegaPai... | [] |
lmstudio-community/Qwen3.5-122B-A10B-GGUF | lmstudio-community | 2026-02-24T18:50:56Z | 25,205 | 4 | null | [
"gguf",
"base_model:Qwen/Qwen3.5-122B-A10B",
"base_model:quantized:Qwen/Qwen3.5-122B-A10B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-24T17:29:20Z | ## 💫 Community Model> Qwen3.5-122B-A10B by Qwen
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator**: [Qwen](https://huggingface.co/Qwen)<br>
**Original mo... | [] |
TheBloke/CapybaraHermes-2.5-Mistral-7B-GGUF | TheBloke | 2024-01-31T21:50:48Z | 2,200 | 126 | trl | [
"trl",
"gguf",
"mistral",
"distilabel",
"dpo",
"rlaif",
"rlhf",
"en",
"dataset:argilla/dpo-mix-7k",
"base_model:argilla/CapybaraHermes-2.5-Mistral-7B",
"base_model:quantized:argilla/CapybaraHermes-2.5-Mistral-7B",
"license:apache-2.0",
"region:us",
"conversational"
] | null | 2024-01-31T21:19:50Z | <!-- markdownlint-disable MD041 -->
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content:... | [] |
RedHatAI/Apertus-70B-Instruct-2509-quantized.w4a16 | RedHatAI | 2025-09-23T20:12:52Z | 143 | 1 | transformers | [
"transformers",
"safetensors",
"apertus",
"text-generation",
"multilingual",
"compliant",
"swiss-ai",
"fp8",
"vllm",
"compressed-tensors",
"llm-compressor",
"conversational",
"base_model:swiss-ai/Apertus-70B-Instruct-2509",
"base_model:quantized:swiss-ai/Apertus-70B-Instruct-2509",
"lice... | text-generation | 2025-09-21T22:30:39Z | ## Model Overview
- **Model Architecture:** ApertusForCausalLM
- **Input:** Text
- **Output:** Text
- **Model Optimizations:**
- **Weight quantization:** INT4
- **Release Date:** 9/22/2025
- **Version:** 1.0
- **Model Developers:** Red Hat
Quantized version of [swiss-ai/Apertus-70B-2509](https://huggingface.co/s... | [] |
mradermacher/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16-i1-GGUF | mradermacher | 2026-03-19T18:13:03Z | 1,923 | 1 | transformers | [
"transformers",
"gguf",
"nvidia",
"pytorch",
"en",
"es",
"fr",
"de",
"ja",
"it",
"dataset:nvidia/Nemotron-Pretraining-Code-v1",
"dataset:nvidia/Nemotron-CC-v2",
"dataset:nvidia/Nemotron-Pretraining-SFT-v1",
"dataset:nvidia/Nemotron-CC-Math-v1",
"dataset:nvidia/Nemotron-Pretraining-Code-v... | null | 2026-01-09T08:01:56Z | ## 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_... | [] |
BytedanceDouyinContent/SAIL-VL2-2B | BytedanceDouyinContent | 2025-09-18T08:54:30Z | 2,464 | 11 | null | [
"safetensors",
"sailvl",
"custom_code",
"arxiv:2509.14033",
"arxiv:2501.05952",
"license:apache-2.0",
"region:us"
] | null | 2025-09-10T13:13:28Z | # 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... | [] |
calcuis/bagel-gguf | calcuis | 2025-06-02T10:06:02Z | 354 | 43 | null | [
"gguf",
"gguf-connector",
"any-to-any",
"base_model:ByteDance-Seed/BAGEL-7B-MoT",
"base_model:quantized:ByteDance-Seed/BAGEL-7B-MoT",
"license:apache-2.0",
"region:us"
] | any-to-any | 2025-05-27T22:47:47Z | ## gguf quantized and fp8/16 scaled version of bagel
- base model from [bytedance-seed](https://huggingface.co/ByteDance-Seed)
- multimodal trial model (i.e., t2i, image editing/recogition)
### **run it with gguf-connector**
```
ggc b2
```
![screenshot](https://raw.githubusercontent.com/calcuis/multimodal-trial-model... | [] |
starvector/starvector-8b-im2svg | starvector | 2025-03-19T14:58:02Z | 2,348 | 541 | transformers | [
"transformers",
"safetensors",
"starvector",
"text-generation",
"custom_code",
"en",
"arxiv:2312.11556",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-01-11T18:30:52Z | # Model Card for StarVector
StarVector is a foundation model for generating Scalable Vector Graphics (SVG) code from images and text. It utilizes a Vision-Language Modeling architecture to understand... | [] |
CAMeL-Lab/bert-base-arabic-camelbert-ca | CAMeL-Lab | 2021-09-14T14:27:12Z | 971 | 13 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:04Z | # CAMeLBERT: A collection of pre-trained models for Arabic NLP tasks
## Model description
**CAMeLBERT** is a collection of BERT models pre-trained on Arabic texts with different sizes and variants.
We release pre-trained language models for Modern Standard Arabic (MSA), dialectal Arabic (DA), and classical Arabic (CA... | [] |
mradermacher/Qwen3.5-4B-heretic-GGUF | mradermacher | 2026-03-11T12:04:06Z | 5,671 | 4 | transformers | [
"transformers",
"gguf",
"unsloth",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:tvall43/Qwen3.5-4B-heretic",
"base_model:quantized:tvall43/Qwen3.5-4B-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-04T14:36:16Z | ## 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: 1 -->
static ... | [
{
"start": 516,
"end": 539,
"text": "Qwen3.5-4B-heretic-GGUF",
"label": "benchmark name",
"score": 0.6433512568473816
}
] |
mradermacher/RoboInter-VLM-GGUF | mradermacher | 2026-02-14T13:32:33Z | 301 | 1 | transformers | [
"transformers",
"gguf",
"robotics",
"vision-language-action-model",
"vision-language-model",
"en",
"base_model:InternRobotics/RoboInter-VLM",
"base_model:quantized:InternRobotics/RoboInter-VLM",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | robotics | 2026-02-14T11:56:02Z | ## 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... | [
{
"start": 517,
"end": 535,
"text": "RoboInter-VLM-GGUF",
"label": "benchmark name",
"score": 0.6136897206306458
}
] |
mradermacher/Nanbeige4-3B-Base-GGUF | mradermacher | 2025-11-02T01:03:04Z | 380 | 3 | transformers | [
"transformers",
"gguf",
"llm",
"nanbeige",
"en",
"zh",
"base_model:Nanbeige/Nanbeige4-3B-Base",
"base_model:quantized:Nanbeige/Nanbeige4-3B-Base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-11-01T19:40:03Z | ## 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... | [] |
smcleish/Recurrent-TinyLlama-3T-train-recurrence-32 | smcleish | 2025-11-11T13:15:23Z | 309 | 1 | transformers | [
"transformers",
"safetensors",
"huginn_raven",
"text-generation",
"causal-lm",
"custom_code",
"en",
"dataset:nvidia/Nemotron-CC-Math-v1",
"arxiv:2511.07384",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-11-08T19:03:46Z | # Recurrent-TinyLlama-3T-train-recurrence-32
Recurrent-TinyLlama-3T-train-recurrence-32 is part of the [Retrofitting Recurrence](https://hf.co/collections/tomg-group-umd/retrofitting-recurrence) set of models. A set of depth recurrent models trained by taking layers from pretrained feedforward language models ([link to... | [] |
mradermacher/ShizhenGPT-7B-LLM-GGUF | mradermacher | 2025-08-25T09:00:07Z | 146 | 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 | 2025-08-25T07:50:38Z | ## 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... | [
{
"start": 525,
"end": 547,
"text": "ShizhenGPT-7B-LLM-GGUF",
"label": "benchmark name",
"score": 0.6691523790359497
},
{
"start": 1153,
"end": 1170,
"text": "ShizhenGPT-7B-LLM",
"label": "benchmark name",
"score": 0.6294956803321838
},
{
"start": 1281,
"end":... |
mradermacher/Diabetica-Qwen3-4B-GGUF | mradermacher | 2025-12-10T10:42:01Z | 247 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:WaltonFuture/Diabetica-Qwen3-4B",
"base_model:quantized:WaltonFuture/Diabetica-Qwen3-4B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-10T08:12:31Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 365,
"end": 383,
"text": "Diabetica-Qwen3-4B",
"label": "benchmark name",
"score": 0.7651570439338684
},
{
"start": 520,
"end": 543,
"text": "Diabetica-Qwen3-4B-GGUF",
"label": "benchmark name",
"score": 0.786258339881897
},
{
"start": 1239,
"end": ... |
unsloth/FLUX.2-klein-base-9B-GGUF | unsloth | 2026-01-15T18:02:42Z | 7,264 | 29 | ggml | [
"ggml",
"gguf",
"image-generation",
"unsloth",
"image-editing",
"flux",
"diffusion-single-file",
"image-to-image",
"en",
"base_model:black-forest-labs/FLUX.2-klein-base-9B",
"base_model:quantized:black-forest-labs/FLUX.2-klein-base-9B",
"license:other",
"region:us"
] | image-to-image | 2026-01-15T17:56:38Z | This is a GGUF quantized version of [FLUX.2-klein-base-9B](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B). <br>
unsloth/FLUX.2-klein-base-9B-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 high... | [] |
bartowski/TheDrummer_Behemoth-ReduX-123B-v1.1-GGUF | bartowski | 2025-10-08T21:02:01Z | 414 | 1 | null | [
"gguf",
"text-generation",
"base_model:TheDrummer/Behemoth-ReduX-123B-v1.1",
"base_model:quantized:TheDrummer/Behemoth-ReduX-123B-v1.1",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-10-08T14:05:59Z | ## Llamacpp imatrix Quantizations of Behemoth-ReduX-123B-v1.1 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/b6683">b6683</a> for quantization.
Original model: https://huggingface.co/TheDrummer/Behemoth-ReduX-123B-... | [] |
Nihal2000/all-MiniLM-L6-v2-quant.tflite | Nihal2000 | 2025-08-01T03:11:33Z | 230 | 2 | tensorflow-lite | [
"tensorflow-lite",
"tflite",
"sentence-transformers",
"quantized",
"edge",
"LiteRT",
"sentence-similarity",
"en",
"dataset:snli",
"dataset:multi_nli",
"arxiv:1908.10084",
"base_model:sentence-transformers/all-MiniLM-L6-v2",
"base_model:finetune:sentence-transformers/all-MiniLM-L6-v2",
"lic... | sentence-similarity | 2025-07-31T06:38:28Z | # TFLite version of sentence-transformers/all-MiniLM-L6-v2
This repository contains the [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) model, converted to the TensorFlow Lite (TFLite) format for efficient on-device inference.
Two versions of the model are provi... | [] |
openbmb/AgentCPM-Report-GGUF | openbmb | 2026-02-09T13:43:45Z | 277 | 36 | null | [
"gguf",
"arxiv:2602.06540",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-19T13:24:21Z | # AgentCPM-Report: Gemini-2.5-pro-DeepResearch Level Local DeepResearch
<p align="center">
<a href='https://huggingface.co/openbmb/AgentCPM-Report'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-AgentCPM--Report-yellow'>
<a href='https://huggingface.co/openbmb/AgentCPM-Report-GGUF'><img src='http... | [] |
cyankiwi/Qwen3.5-4B-AWQ-4bit | cyankiwi | 2026-03-29T21:12:36Z | 183,871 | 10 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-4B",
"base_model:quantized:Qwen/Qwen3.5-4B",
"license:apache-2.0",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | image-text-to-text | 2026-03-02T15:13:04Z | # Qwen3.5-4B
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
[](https://chat.qwen.ai)
> [!Note]
> This repository contains model weights and configuration files for the post-trained mode... | [] |
mradermacher/nsfwvision-v4_qwen3.5-9b-sft-GGUF | mradermacher | 2026-04-04T05:02:33Z | 493 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:GitMylo/nsfwvision-v4_qwen3.5-9b-sft",
"base_model:quantized:GitMylo/nsfwvision-v4_qwen3.5-9b-sft",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-03T12:42:08Z | ## 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... | [] |
QuixiAI/MiniMax-M2.1-bf16 | QuixiAI | 2025-12-29T04:32:55Z | 275 | 2 | transformers | [
"transformers",
"safetensors",
"minimax_m2",
"text-generation",
"conversational",
"custom_code",
"arxiv:2509.06501",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-29T03:39:28Z | This is [MiniMaxAI/MiniMax-M2.1](https://huggingface.co/MiniMaxAI/MiniMax-M2.1) converted to bf16 with [this script](minimax_to_bf16.py).
Cheers!
-Eric Hartford
<div align="center">
<svg width="60%" height="auto" viewBox="0 0 144 48" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M26.6782 7.96523C26.6782... | [] |
kakaocorp/kanana-1.5-8b-instruct-2505 | kakaocorp | 2025-05-22T23:37:51Z | 6,454 | 58 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"ko",
"arxiv:2502.18934",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-05-21T05:42:36Z | <p align="center">
<br>
<picture>
<img src="./assets/logo/kanana-logo.png" width="60%" style="margin: 40px auto;">
</picture>
</br>
<p align="center">
🤗 <a href="https://kko.kakao.com/kananallm">1.5 HF Models</a>   |
  📕 <a href="https://tech.kakao.com/posts/707">1.5 Blog</a>   |
  📜... | [
{
"start": 517,
"end": 533,
"text": "HF model weights",
"label": "evaluation metric",
"score": 0.7740082144737244
},
{
"start": 654,
"end": 670,
"text": "HF model weights",
"label": "evaluation metric",
"score": 0.7958972454071045
}
] |
deepseek-ai/deepseek-coder-33b-base | deepseek-ai | 2024-03-07T13:24:08Z | 2,898 | 76 | transformers | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2023-10-28T08:14:27Z | <p align="center">
<img width="1000px" alt="DeepSeek Coder" src="https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/pictures/logo.png?raw=true">
</p>
<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://coder.deepseek.com/">[🤖 Chat with DeepSeek Coder]</a> | <a href="https... | [] |
mradermacher/gemma-3n-E4B-it-absolute-heresy-i1-GGUF | mradermacher | 2026-01-21T16:49:28Z | 336 | 2 | transformers | [
"transformers",
"gguf",
"automatic-speech-recognition",
"automatic-speech-translation",
"audio-text-to-text",
"video-text-to-text",
"heretic",
"en",
"base_model:MuXodious/gemma-3n-E4B-it-absolute-heresy",
"base_model:quantized:MuXodious/gemma-3n-E4B-it-absolute-heresy",
"license:gemma",
"endpo... | automatic-speech-recognition | 2025-12-18T11:03:02Z | ## 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_... | [] |
andrevp/Qwen3.5-9B-Distilled-OPUS-Heretic-MLX-VLM-4bit | andrevp | 2026-03-12T06:32:51Z | 494 | 3 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"mlx-vlm",
"qwen3.5",
"heretic",
"uncensored",
"abliterated",
"multimodal",
"vision",
"image-text-to-text",
"conversational",
"base_model:Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled",
"base_model:quantized:Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Rea... | image-text-to-text | 2026-03-12T06:27:31Z | # Qwen3.5-9B Distilled OPUS Heretic - MLX-VLM 4bit
4-bit quantized MLX-VLM conversion of an abliterated Qwen3.5-9B model distilled from Claude Opus 4.6 reasoning, optimized for Apple Silicon.
**Size:** ~5.6 GB | **Bits/weight:** 5.059 | **Quality:** Reduced; fastest and smallest variant
## Background
This model sta... | [] |
nightmedia/Qwen3-4B-Agent-Claude-Gemini-heretic-qx86-hi-mlx | nightmedia | 2025-12-31T13:34:49Z | 128 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"coding",
"research",
"deep thinking",
"128k context",
"Qwen3",
"All use cases",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelli... | text-generation | 2025-12-31T11:42:59Z | # Qwen3-4B-Agent-Claude-Gemini-heretic-qx86-hi-mlx
A [non-Heretic version](https://huggingface.co/nightmedia/Qwen3-4B-Agent-Claude-Gemini-qx86-hi-mlx) of this model is also available.
Performance metrics
```brainwave
baseline 0.572,0.763,0.861,0.708,0.414,0.773,0.676
heretic 0.561,0.760,0.862,0.714,0.422,0.780,0.683... | [] |
l3cube-pune/marathi-sentiment-md | l3cube-pune | 2023-07-01T07:07:14Z | 1,081 | 2 | transformers | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"mr",
"dataset:L3Cube-MahaSent-MD",
"arxiv:2306.13888",
"arxiv:2205.14728",
"license:cc-by-4.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2023-06-04T07:49:33Z | ## MahaSent-MD
MahaSent-MD is a MahaBERT(<a href="https://huggingface.co/l3cube-pune/marathi-bert-v2">l3cube-pune/marathi-bert-v2</a>) model fine-tuned on full L3Cube-MahaSent-MD Corpus, a multi-domain Marathi sentiment analysis dataset. <br>
The MahaSent-MD dataset contains domains like movie reviews, generic tweets,... | [] |
infinity1096/UFM-Base | infinity1096 | 2025-06-13T09:06:28Z | 5,133 | 6 | null | [
"safetensors",
"model_hub_mixin",
"pytorch_model_hub_mixin",
"other",
"en",
"arxiv:2506.09278",
"license:cc-by-nc-4.0",
"region:us"
] | other | 2025-06-08T03:43:12Z | <div align="center">
<h1>UFM: A Simple Path towards Unified Dense Correspondence with Flow</h1>
<a href="arxiv.org/abs/2506.09278"><img src="https://img.shields.io/badge/arXiv-2506.09278-b31b1b" alt="arXiv"></a>
<a href="https://uniflowmatch.github.io/"><img src="https://img.shields.io/badge/Project_Page-green" alt="P... | [] |
unsloth/Qwen2.5-32B-Instruct-bnb-4bit | unsloth | 2025-04-28T04:16:05Z | 19,986 | 15 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"unsloth",
"conversational",
"zho",
"eng",
"fra",
"spa",
"por",
"deu",
"ita",
"rus",
"jpn",
"kor",
"vie",
"tha",
"ara",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-32B-Instruct",
"base_model:q... | text-generation | 2024-09-18T22:28:22Z | # 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.resear... | [] |
utter-project/EuroLLM-9B-Instruct-2512 | utter-project | 2026-02-06T02:23:21Z | 16,189 | 6 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"de",
"es",
"fr",
"it",
"pt",
"pl",
"nl",
"tr",
"sv",
"cs",
"el",
"hu",
"ro",
"fi",
"uk",
"sl",
"sk",
"da",
"lt",
"lv",
"et",
"bg",
"no",
"ca",
"hr",
"ga",
"mt",
"gl",... | text-generation | 2026-01-26T14:21:22Z | # Model Card for EuroLLM-9B-Instruct-2512
This is the model card for EuroLLM-9B-Instruct-2512, an improved version of [utter-project/EuroLLM-9B-Instruct](https://huggingface.co/utter-project/EuroLLM-9B-Instruct).
In comparison with the previous version, this version includes the long-context extension phase and the re... | [] |
mradermacher/Gliese-OCR-7B-Post2.0-final-GGUF | mradermacher | 2025-11-23T12:25:47Z | 164 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"Document",
"VLM",
"KIE",
"VL",
"Camel",
"Openpdf",
"Extraction",
"Linking",
"Markdown",
"Document Digitization",
"Intelligent Document Processing (IDP)",
"Intelligent Word Recognition (IWR)",
"pdf2markdown",
"image-to-text",
"oc... | image-to-text | 2025-10-27T07:01:12Z | ## 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... | [] |
mradermacher/Apertus-70B-Instruct-2509-abliterated-i1-GGUF | mradermacher | 2025-12-05T09:48:27Z | 260 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:nicoboss/Apertus-70B-Instruct-2509-abliterated",
"base_model:quantized:nicoboss/Apertus-70B-Instruct-2509-abliterated",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-04T01:07:32Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
microsoft/trocr-large-stage1 | microsoft | 2024-05-27T20:12:53Z | 715 | 27 | transformers | [
"transformers",
"pytorch",
"safetensors",
"vision-encoder-decoder",
"image-text-to-text",
"trocr",
"image-to-text",
"arxiv:2109.10282",
"endpoints_compatible",
"region:us"
] | image-to-text | 2022-03-02T23:29:05Z | # TrOCR (large-sized model, pre-trained only)
TrOCR pre-trained only model. It was introduced in the paper [TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models](https://arxiv.org/abs/2109.10282) by Li et al. and first released in [this repository](https://github.com/microsoft/unilm/tree/mas... | [] |
Intel/Qwen3.5-122B-A10B-gguf-q2ks-mixed-AutoRound | Intel | 2026-03-23T08:27:56Z | 215 | 1 | null | [
"gguf",
"arxiv:2309.05516",
"base_model:Qwen/Qwen3.5-122B-A10B",
"base_model:quantized:Qwen/Qwen3.5-122B-A10B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-23T08:21:09Z | ## Model Details
This model is a mixed gguf q2ks format of [Qwen/Qwen3.5-122B-A10B](https://huggingface.co/Qwen/Qwen3.5-122B-A10B) generated by [intel/auto-round](https://github.com/intel/auto-round) algorithm. Embedding layer and lm-head layer are fallback to 8 bits and non expert layers are fallback to 4 bits. Pl... | [] |
mradermacher/FlashResearch-4B-Thinking-GGUF | mradermacher | 2025-10-27T08:27:14Z | 120 | 2 | transformers | [
"transformers",
"gguf",
"en",
"dataset:cheapresearch/CheapResearch-DS-33k",
"base_model:flashresearch/FlashResearch-4B-Thinking",
"base_model:quantized:flashresearch/FlashResearch-4B-Thinking",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-27T07:23:54Z | ## 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/amoral-gemma3-12B-v1-GGUF | mradermacher | 2026-03-04T00:13:38Z | 1,062 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"gemma3",
"analytical-tasks",
"bias-neutralization",
"uncensored",
"en",
"base_model:Wutheringaadadadd/amoral-gemma3-12B-v1",
"base_model:quantized:Wutheringaadadadd/amoral-gemma3-12B-v1",
"license:apache-2.0",
"endpoints_compatible",
"reg... | null | 2026-03-03T09:55:13Z | ## 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/DocWain-14B-v2-unified-i1-GGUF | mradermacher | 2026-05-02T11:08:38Z | 224 | 1 | transformers | [
"transformers",
"gguf",
"document-intelligence",
"rag",
"extraction",
"enterprise",
"docwain",
"en",
"base_model:muthugsubramanian/DocWain-14B-v2-unified",
"base_model:quantized:muthugsubramanian/DocWain-14B-v2-unified",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",... | null | 2026-05-01T08:18:30Z | ## 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/MM-DeepResearch-8B-GGUF | mradermacher | 2026-03-16T13:57:57Z | 387 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:HuanjinYao/MM-DeepResearch-8B",
"base_model:quantized:HuanjinYao/MM-DeepResearch-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-16T13:49:59Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 518,
"end": 541,
"text": "MM-DeepResearch-8B-GGUF",
"label": "benchmark name",
"score": 0.6950408816337585
},
{
"start": 1274,
"end": 1292,
"text": "MM-DeepResearch-8B",
"label": "benchmark name",
"score": 0.6289288997650146
}
] |
nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16 | nvidia | 2026-03-20T20:50:41Z | 34,898 | 55 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"nvidia",
"pytorch",
"conversational",
"custom_code",
"en",
"dataset:nvidia/Nemotron-CC-v2",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v2",
"dataset:nvidia/Nemotron-Science-v1",
"dataset:nvidia/Nemotron-Instruction-Followin... | text-generation | 2026-03-07T01:23:35Z | <div align="center" style="line-height: 1;">
<a href="https://huggingface.co/collections/nvidia/nemotron-pre-training-datasets" target="_blank" style="margin: 2px;">
<img alt="Pre-Training Datasets" src="https://img.shields.io/badge/🗄️_Pre--Training_Datasets-Available_Here-76B900?logoColor=white" style="display: i... | [] |
zipaltrivedi/dotnet-coder-14b | zipaltrivedi | 2026-04-19T07:34:19Z | 118 | 1 | transformers | [
"transformers",
"safetensors",
"gguf",
"qwen2",
"text-generation",
"csharp",
"dotnet",
"code",
"fine-tuned",
"dpo",
"qlora",
"coding-assistant",
"aspnet",
"entity-framework",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-Coder-14B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Co... | text-generation | 2026-04-19T01:04:34Z | # dotnet-coder-14b
A C#/.NET specialist fine-tuned from Qwen2.5-Coder-14B-Instruct. Achieves 97% compile rate on C# code generation benchmarks — higher than Qwen2.5-Coder-32B (80%) and Qwen2.5-72B (80%) on our evaluation suite.
Designed for coding agents and experienced .NET developers who need compilable, self-conta... | [
{
"start": 57,
"end": 83,
"text": "Qwen2.5-Coder-14B-Instruct",
"label": "benchmark name",
"score": 0.6505981087684631
},
{
"start": 158,
"end": 175,
"text": "Qwen2.5-Coder-32B",
"label": "benchmark name",
"score": 0.7203681468963623
},
{
"start": 186,
"end": ... |
QuantFactory/Llama-3.2-3B-Instruct-abliterated-GGUF | QuantFactory | 2024-10-08T17:48:36Z | 9,520 | 12 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"base_model:meta-llama/Llama-3.2-3B-Instruct",
"base_model:quantized:meta-llama/Llama-3.2-3B-Instruct",
"license:llama3.2",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-10-08T17:32:00Z | ---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
- abliterated
- uncensored
---
[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77... | [] |
zai-org/cogvlm2-llama3-chat-19B | zai-org | 2024-09-03T16:38:05Z | 3,726 | 220 | transformers | [
"transformers",
"safetensors",
"text-generation",
"chat",
"cogvlm2",
"conversational",
"custom_code",
"en",
"arxiv:2408.16500",
"arxiv:2311.03079",
"license:other",
"region:us"
] | text-generation | 2024-05-16T11:51:07Z | # CogVLM2
<div align="center">
<img src=https://raw.githubusercontent.com/THUDM/CogVLM2/53d5d5ea1aa8d535edffc0d15e31685bac40f878/resources/logo.svg width="40%"/>
</div>
<p align="center">
👋 <a href="resources/WECHAT.md" target="_blank">Wechat</a> · 💡<a href="http://36.103.203.44:7861/" target="_blank">Online De... | [
{
"start": 1040,
"end": 1047,
"text": "TextVQA",
"label": "benchmark name",
"score": 0.7975727915763855
},
{
"start": 1051,
"end": 1057,
"text": "DocVQA",
"label": "benchmark name",
"score": 0.7596843838691711
}
] |
mradermacher/BrokenMath-Qwen3-4B-i1-GGUF | mradermacher | 2025-12-12T17:04:18Z | 121 | 1 | transformers | [
"transformers",
"gguf",
"math",
"sycophancy",
"llm",
"reasoning",
"en",
"dataset:INSAIT-Institute/BrokenMath",
"base_model:INSAIT-Institute/BrokenMath-Qwen3-4B",
"base_model:quantized:INSAIT-Institute/BrokenMath-Qwen3-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix... | null | 2025-12-12T16:34:30Z | ## 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": 628,
"end": 655,
"text": "BrokenMath-Qwen3-4B-i1-GGUF",
"label": "benchmark name",
"score": 0.7181559205055237
},
{
"start": 1214,
"end": 1241,
"text": "BrokenMath-Qwen3-4B-i1-GGUF",
"label": "benchmark name",
"score": 0.6431571245193481
},
{
"start": 1... |
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