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 |
|---|---|---|---|---|---|---|---|---|---|---|
BestWishYsh/Helios-Mid | BestWishYsh | 2026-03-26T10:38:11Z | 2,567 | 10 | diffusers | [
"diffusers",
"safetensors",
"text-to-video",
"en",
"arxiv:2603.04379",
"base_model:Wan-AI/Wan2.1-T2V-14B-Diffusers",
"base_model:finetune:Wan-AI/Wan2.1-T2V-14B-Diffusers",
"license:apache-2.0",
"diffusers:HeliosPyramidPipeline",
"region:us"
] | text-to-video | 2026-02-23T06:07:32Z | <div align=center>
<img src="https://raw.githubusercontent.com/SHYuanBest/shyuanbest_media/main/Helios/logo_white.png" width="300px">
</div>
<h1 align="center">Helios: Real Real-Time Long Video Generation Model</h1>
<h5 align="center">⭐ 14B Real-Time Long Video Generation Model can be Cheaper, Faster but Keep Stronge... | [] |
llamaindex/vdr-2b-multi-v1 | llamaindex | 2025-05-21T15:32:02Z | 1,893 | 128 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"transformers",
"Qwen2-VL",
"conversational",
"en",
"it",
"fr",
"de",
"es",
"dataset:llamaindex/vdr-multilingual-train",
"arxiv:2406.11251",
"base_model:MrLight/dse-qwen2-2b-mrl-v1",
"base_model:finetune:MrLight/... | image-text-to-text | 2025-01-08T17:22:28Z | # vdr-2b-multi-v1
vdr-2b-multi-v1 is a multilingual embedding model designed for visual document retrieval across multiple languages and domains. It encodes document page screenshots into dense single-vector representations, this will effectively allow to search and query visually rich multilingual doc... | [] |
mlx-community/sam-audio-large | mlx-community | 2025-12-24T00:01:34Z | 121 | 6 | mlx-audio | [
"mlx-audio",
"safetensors",
"audio-to-audio",
"speech",
"speech generation",
"voice isolation",
"mlx",
"en",
"base_model:facebook/sam-audio-large",
"base_model:finetune:facebook/sam-audio-large",
"license:other",
"region:us"
] | audio-to-audio | 2025-12-23T23:34:14Z | # mlx-community/sam-audio-large
This model was converted to MLX format from [`facebook/sam-audio-large`](https://huggingface.co/facebook/sam-audio-large) using mlx-audio version **0.2.10**.
Refer to the [original model card](https://huggingface.co/facebook/sam-audio-large) for more details on the model.
## Use with ml... | [] |
mradermacher/Llama-3.1-70B-Instruct-lorablated-i1-GGUF | mradermacher | 2024-12-05T05:00:15Z | 270 | 2 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"mergekit",
"en",
"base_model:mlabonne/Llama-3.1-70B-Instruct-lorablated",
"base_model:quantized:mlabonne/Llama-3.1-70B-Instruct-lorablated",
"license:llama3.1",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2024-12-04T20:49:41Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/mlabonne/Llama-3.1-70B-Instruct-lorablated
<!-- provided-files -->
static quants are available at http... | [] |
Subh775/Threat-Detection-YOLOv8n | Subh775 | 2025-10-24T08:45:09Z | 344 | 4 | ultralytics | [
"ultralytics",
"surveillance",
"Threat_detection",
"yolov8",
"object-detection",
"en",
"base_model:Ultralytics/YOLOv8",
"base_model:finetune:Ultralytics/YOLOv8",
"license:mit",
"region:us"
] | object-detection | 2025-10-07T05:17:40Z | # YOLOv8n based Threat Detection Model
<a href="https://opensource.org/licenses/MIT">
<img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License">
</a>
<a href="https://github.com/ultralytics/ultralytics">
<img src="https://img.shields.io/badge/YOLOv8-Nano-blue?logo=ultralytics&logoColor=white... | [] |
moonshotai/Kimi-Dev-72B | moonshotai | 2025-06-17T06:27:40Z | 1,493 | 384 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"swebench",
"software",
"issue-resolving",
"conversational",
"base_model:Qwen/Qwen2.5-72B",
"base_model:finetune:Qwen/Qwen2.5-72B",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-06-16T11:40:59Z | <!-- # Kimi-Dev -->
<div align="center">
<img src="./assets/main_logo.png" alt="Kimi Logo" width="400" />
<h2><a href="https://moonshotai.github.io/Kimi-Dev/">
Introducing Kimi-Dev: <br>A Strong and Open-source Coding LLM for Issue Resolution</a></h2>
</a></h2>
<b>Kimi-Dev Team</b>
<br>
</div>
<div align="center">
... | [] |
mudler/Qwen3.5-35B-A3B-APEX-TQ-GGUF | mudler | 2026-04-27T14:00:19Z | 5,579 | 15 | null | [
"gguf",
"quantized",
"apex",
"moe",
"mixture-of-experts",
"qwen3.5",
"turboquant",
"experimental",
"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"
] | null | 2026-04-03T08:56:51Z | <!-- apex-banner-v2 -->
<div style="background-color: #f59e0b; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
<h2 style="color: white; margin: 0 0 10px 0;">⚡ Each donation = another big MoE quantized</h2>
<p style="font-size: 18px; margin: 0 0 15px 0;">I host <b>25+ free APEX Mo... | [
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"label": "benchmark name",
"score": 0.6539493203163147
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DAMO-NLP-SG/VideoLLaMA3-7B | DAMO-NLP-SG | 2025-09-02T15:50:28Z | 82,973 | 75 | transformers | [
"transformers",
"safetensors",
"videollama3_qwen2",
"text-generation",
"multi-modal",
"large-language-model",
"video-language-model",
"video-text-to-text",
"custom_code",
"en",
"dataset:lmms-lab/LLaVA-OneVision-Data",
"dataset:allenai/pixmo-docs",
"dataset:HuggingFaceM4/Docmatix",
"dataset... | video-text-to-text | 2025-01-21T08:26:21Z | <p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/626938b16f8f86ad21deb989/tt5KYnAUmQlHtfB1-Zisl.png" width="150" style="margin-bottom: 0.2;"/>
<p>
<h3 align="center"><a href="https://arxiv.org/abs/2501.13106">VideoLLaMA 3: Frontier Multimodal Foundation Models for Video Understan... | [] |
dangvantuan/vietnamese-embedding | dangvantuan | 2025-10-23T11:28:46Z | 200,971 | 51 | sentence-transformers | [
"sentence-transformers",
"onnx",
"safetensors",
"roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"phobert",
"vietnamese",
"sentence-embedding",
"vi",
"arxiv:2104.08821",
"arxiv:2010.08240",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"depl... | sentence-similarity | 2024-04-20T14:31:07Z | ## Model Description:
[**vietnamese-embedding**](https://huggingface.co/dangvantuan/vietnamese-embedding) is the Embedding Model for Vietnamese language. This model is a specialized sentence-embedding trained specifically for the Vietnamese language, leveraging the robust capabilities of PhoBERT, a pre-trained language... | [] |
Writer/palmyra-mini-thinking-a | Writer | 2025-09-19T19:51:22Z | 1,066 | 26 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"Coder",
"Math",
"thinking",
"reasoning",
"conversational",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-09-10T04:05:57Z | <div align="center">
<h1>Palmyra-mini-thinking-a</h1>
</div>
### Model Description
- **Language(s) (NLP):** English
- **License:** Apache-2.0
- **Finetuned from model:** Qwen/Qwen2.5-1.5B
- **Context window:** 131,072 tokens
- **Parameters:** 1.7 billion
## Model Details
The palmyra-mini-thinking-a model demons... | [
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"end": 496,
"text": "MATH500",
"label": "benchmark name",
"score": 0.7860239744186401
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"text": "gsm8k (strict-match)",
"label": "evaluation metric",
"score": 0.6921058893203735
},
{
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"end": 1549,
... |
MediaTek-Research/Breeze-7B-Instruct-v1_0 | MediaTek-Research | 2024-06-28T07:26:00Z | 878 | 67 | transformers | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"conversational",
"zh",
"en",
"arxiv:2403.02712",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-03-05T09:26:58Z | # Model Card for MediaTek Research Breeze-7B-Instruct-v1_0
MediaTek Research Breeze-7B (hereinafter referred to as Breeze-7B) is a language model family that builds on top of [Mistral-7B](https://huggingface.co/mistralai/Mistral-7B-v0.1), specifically intended for Traditional Chinese use.
[Breeze-7B-Base](https://hug... | [
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{
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"end": 1737,
"text": "Yi-6B-Chat",
"label": "benchmark name",
"score": 0.6339371204376221
}
] |
mradermacher/GUI-Owl-1.5-8B-Instruct-i1-GGUF | mradermacher | 2026-02-20T16:07:51Z | 216 | 1 | transformers | [
"transformers",
"gguf",
"arxiv:2602.16855",
"en",
"base_model:mPLUG/GUI-Owl-1.5-8B-Instruct",
"base_model:quantized:mPLUG/GUI-Owl-1.5-8B-Instruct",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-16T15:09:05Z | ## 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_... | [] |
numz/SeedVR2_comfyUI | numz | 2025-11-09T16:24:56Z | 190,060 | 230 | diffusers | [
"diffusers",
"art",
"video-to-video",
"base_model:ByteDance-Seed/SeedVR2-3B",
"base_model:finetune:ByteDance-Seed/SeedVR2-3B",
"license:apache-2.0",
"region:us"
] | video-to-video | 2025-06-20T05:05:46Z | # ComfyUI-SeedVR2_VideoUpscaler
[](https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler)
Official release of [SeedVR2](https://github.com/ByteDance-Seed/SeedVR) for ComfyUI that enables high-quality video and image u... | [] |
dsh0416/Qwen3-TTS-12Hz-0.6B-Base-QTS | dsh0416 | 2026-03-23T10:10:23Z | 102 | 1 | null | [
"onnx",
"gguf",
"audio",
"tts",
"voice-clone",
"text-to-speech",
"zh",
"en",
"ja",
"ko",
"de",
"fr",
"ru",
"pt",
"es",
"it",
"base_model:Qwen/Qwen3-TTS-12Hz-0.6B-Base",
"base_model:quantized:Qwen/Qwen3-TTS-12Hz-0.6B-Base",
"license:apache-2.0",
"region:us"
] | text-to-speech | 2026-03-23T03:43:57Z | # Qwen3-TTS-12Hz-0.6B-Base-QTS
`Qwen3-TTS-12Hz-0.6B-Base-QTS` is a distribution repository for model artifacts
produced by [`yet-another-ai/qts`](https://github.com/yet-another-ai/qts).
This Hugging Face repository is intended to contain stable, downloadable runtime
artifacts only:
- one shared `qwen3-tts-vocoder.on... | [] |
pyannote-community/speaker-diarization-community-1 | pyannote-community | 2025-10-15T00:58:10Z | 566 | 3 | pyannote-audio | [
"pyannote-audio",
"pyannote",
"pyannote-audio-pipeline",
"audio",
"voice",
"speech",
"speaker",
"speaker-diarization",
"speaker-change-detection",
"voice-activity-detection",
"overlapped-speech-detection",
"automatic-speech-recognition",
"arxiv:2104.03603",
"arxiv:2111.14448",
"arxiv:201... | automatic-speech-recognition | 2025-10-15T00:58:07Z | # `community-1` speaker diarization
This pipeline ingests mono audio sampled at 16kHz and outputs speaker diarization.
- stereo or multi-channel audio files are automatically downmixed to mono by averaging the channels.
- audio files sampled at a different rate are resampled to 16kHz automatically upon loading.
The ... | [
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"end": 362,
"text": "Community-1",
"label": "benchmark name",
"score": 0.8465115427970886
},
{
"start": 394,
"end": 405,
"text": "comm... |
lcampillos/roberta-es-clinical-trials-ner | lcampillos | 2023-03-20T16:23:58Z | 307 | 12 | transformers | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"token-classification",
"generated_from_trainer",
"es",
"arxiv:1910.09700",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | token-classification | 2022-06-30T20:14:09Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-es-clinical-trials-ner
This medical named entity recognition model detects 4 types of semantic groups from the Unified Me... | [] |
Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v2 | Goekdeniz-Guelmez | 2025-08-11T15:14:14Z | 924 | 24 | mlx | [
"mlx",
"safetensors",
"qwen3",
"chat",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"region:us"
] | text-generation | 2025-08-09T16:41:38Z | ---
tags:
- chat
base_model: Qwen/Qwen3-4B-Instruct-2507
pipeline_tag: text-generation
library_name: mlx
---
# JOSIEFIED Model Family
The **JOSIEFIED** model family represents a series of highly advanced language models built upon renowned architectures such as Alibaba’s Qwen2/... | [] |
mradermacher/Impish_LLAMA_4B_Abliterated-GGUF | mradermacher | 2026-01-28T06:58:38Z | 283 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:SicariusSicariiStuff/Impish_LLAMA_4B_Abliterated",
"base_model:quantized:SicariusSicariiStuff/Impish_LLAMA_4B_Abliterated",
"license:llama3.1",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-28T06:27:38Z | ## 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 q... | [
{
"start": 537,
"end": 569,
"text": "Impish_LLAMA_4B_Abliterated-GGUF",
"label": "benchmark name",
"score": 0.6044990420341492
}
] |
bartowski/speakleash_Bielik-11B-v3.0-Instruct-GGUF | bartowski | 2026-01-05T19:09:04Z | 551 | 3 | null | [
"gguf",
"text-generation",
"base_model:speakleash/Bielik-11B-v3.0-Instruct",
"base_model:quantized:speakleash/Bielik-11B-v3.0-Instruct",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-01-05T18:23:27Z | ## Llamacpp imatrix Quantizations of Bielik-11B-v3.0-Instruct by speakleash
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/b7610">b7610</a> for quantization.
Original model: https://huggingface.co/speakleash/Bielik-11B-v3.0-Inst... | [] |
TechxGenus/DeepSeek-V2-Lite-Chat-AWQ | TechxGenus | 2024-07-04T12:50:15Z | 166 | 3 | transformers | [
"transformers",
"safetensors",
"deepseek_v2",
"text-generation",
"conversational",
"custom_code",
"arxiv:2405.04434",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"awq",
"region:us"
] | text-generation | 2024-07-04T10:18:39Z | <!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V2" />
</div>
<hr>
<div align="center" style="line-... | [] |
Jackrong/Qwopus-GLM-18B-Merged-GGUF | Jackrong | 2026-04-20T01:08:18Z | 7,182 | 152 | null | [
"gguf",
"merge",
"frankenmerge",
"qwen3.5",
"reasoning",
"text-generation",
"conversational",
"unsloth",
"agent",
"tool-use",
"chain-of-thought",
"qlora",
"multilingual",
"code-generation",
"en",
"zh",
"ko",
"ja",
"fr",
"de",
"es",
"arxiv:2604.06628",
"base_model:Jackrong... | text-generation | 2026-04-18T02:48:02Z | # Qwopus-GLM-18B-Merged 🧪
A **64-layer frankenmerge** of two of [Jackrong's](https://huggingface.co/Jackrong) incredible Qwen3.5-9B finetunes, stacking all 32 layers from each to create an ~18B parameter model, then **healed with a 1000-step LoRA fine-tune** to smooth the layer boundary.
**This was a fun experiment!... | [] |
mradermacher/Denker-mistral-nemo-12B-i1-GGUF | mradermacher | 2025-12-23T04:15:47Z | 179 | 2 | transformers | [
"transformers",
"gguf",
"orpo",
"uncensored",
"reasoning",
"chain-of-thought",
"qlora",
"experimental",
"en",
"dataset:nbeerbower/Schule-DPO",
"dataset:nbeerbower/Purpura-DPO",
"dataset:nbeerbower/Arkhaios-DPO",
"dataset:jondurbin/truthy-dpo-v0.1",
"dataset:antiven0m/physical-reasoning-dpo... | null | 2025-08-31T12:52:35Z | ## 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... | [
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"text": "Denker-mistral-nemo-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.6416916251182556
},
{
"start": 1219,
"end": 1250,
"text": "Denker-mistral-nemo-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.6117299795150757
}
] |
zai-org/GLM-Z1-32B-0414 | zai-org | 2025-04-28T10:03:37Z | 3,663 | 195 | transformers | [
"transformers",
"safetensors",
"glm4",
"text-generation",
"conversational",
"zh",
"en",
"arxiv:2406.12793",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-04-08T06:57:28Z | # GLM-4-Z1-32B-0414
## Introduction
The GLM family welcomes a new generation of open-source models, the **GLM-4-32B-0414** series, featuring 32 billion parameters. Its performance is comparable to OpenAI's GPT series and DeepSeek's V3/R1 series, and it supports very user-friendly local deployment features. GLM-4-32B-... | [
{
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"end": 122,
"text": "GLM-4-32B-0414",
"label": "benchmark name",
"score": 0.6254497170448303
},
{
"start": 1051,
"end": 1067,
"text": "DeepSeek-V3-0324",
"label": "benchmark name",
"score": 0.626997172832489
}
] |
mradermacher/Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated-GGUF | mradermacher | 2025-11-07T12:42:13Z | 539 | 2 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"trl",
"en",
"base_model:huihui-ai/Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3-VL-30B-A3B-Thinking-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-07T12:05:08Z | ## 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... | [] |
mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF | mradermacher | 2025-12-09T03:15:13Z | 181 | 1 | transformers | [
"transformers",
"gguf",
"dag-reasoning",
"valiant",
"valiant-labs",
"qwen",
"qwen-3",
"qwen-3-4b",
"qwen3-4b-thinking-2507",
"4b",
"thinking",
"reasoning",
"directed-acyclic-graph",
"graph",
"logic",
"analysis",
"programming",
"knowledge",
"root-cause-analysis",
"economics",
... | null | 2025-08-16T06:35:53Z | ## 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_K... | [] |
mradermacher/HomeGuard-8B-i1-GGUF | mradermacher | 2026-04-18T13:03:09Z | 1,605 | 1 | transformers | [
"transformers",
"gguf",
"vision-language",
"multimodal",
"safety",
"robotics",
"embodied-ai",
"qwen3-vl",
"en",
"base_model:Ursulalala/HomeGuard-8B",
"base_model:quantized:Ursulalala/HomeGuard-8B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | robotics | 2026-03-25T06:46:06Z | ## 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/Qwen3.5-27B-HERETIC-Polaris-Advanced-Thinking-Alpha-uncensored-GGUF | mradermacher | 2026-03-05T08:12:07Z | 3,352 | 1 | 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 | 2026-03-05T06:51:18Z | ## 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... | [] |
prithivMLmods/LFM2-2.6B-Exp-GGUF | prithivMLmods | 2025-12-25T14:46:41Z | 226 | 5 | transformers | [
"transformers",
"gguf",
"lfm2",
"text-generation-inference",
"llama.cpp",
"text-generation",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:LiquidAI/LFM2-2.6B-Exp",
"base_model:quantized:LiquidAI/LFM2-2.6B-Exp",
"license:other",
"endpoints_compatible",
"region:us",
... | text-generation | 2025-12-25T14:08:19Z | # **LFM2-2.6B-Exp-GGUF**
> LiquidAI/LFM2-2.6B-Exp is a 2.6 billion-parameter experimental language model from the LFM2 series, featuring a novel hybrid architecture that combines 10 double-gated short-range convolution blocks with 6 Grouped Query Attention (GQA) blocks for superior efficiency in edge AI and on-device ... | [] |
monster-labs/control_v1p_sd15_qrcode_monster | monster-labs | 2023-07-21T11:35:31Z | 12,437 | 1,440 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion",
"controlnet",
"qrcode",
"en",
"license:openrail++",
"region:us"
] | null | 2023-06-24T15:07:20Z | # Controlnet QR Code Monster v2 For SD-1.5
## Model Description
This model is made to generate creative QR codes that still scan.
Keep in mind that not all generated codes might be readable, but you can try different paramet... | [] |
alexdenton/Qwen3.5-35B-A3B-heretic-GGUF | alexdenton | 2026-02-26T03:58:16Z | 4,380 | 10 | gguf | [
"gguf",
"qwen3.5",
"moe",
"llama-cpp",
"quantized",
"base_model:brayniac/Qwen3.5-35B-A3B-heretic",
"base_model:quantized:brayniac/Qwen3.5-35B-A3B-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-26T03:10:41Z | # Qwen3.5-35B-A3B-heretic GGUF
GGUF quantizations of [brayniac/Qwen3.5-35B-A3B-heretic](https://huggingface.co/brayniac/Qwen3.5-35B-A3B-heretic).
This is a Mixture of Experts (MoE) model with 35B total parameters and ~3B active parameters per token.
## Available quantizations
| File | Quant | Size | BPW | Quality |... | [] |
dwulff/mpnet-personality | dwulff | 2026-04-24T13:13:44Z | 1,854 | 12 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"mpnet",
"feature-extraction",
"sentence-similarity",
"en",
"base_model:sentence-transformers/all-mpnet-base-v2",
"base_model:finetune:sentence-transformers/all-mpnet-base-v2",
"license:cc-by-sa-4.0",
"text-embeddings-inference",
"endpoints_compatible",
... | sentence-similarity | 2024-04-08T16:22:42Z | # dwulff/mpnet-personality
This is a [sentence-transformers](https://www.SBERT.net) model that maps personality-related items or texts into a 768-dimensional dense vector space and can be used for many tasks in personality psychology, such as clustering personality items and scales, mapping personality scales to perso... | [] |
Alibaba-DAMO-Academy/RynnBrain-30B-A3B | Alibaba-DAMO-Academy | 2026-04-14T07:07:40Z | 414 | 18 | transformers | [
"transformers",
"safetensors",
"qwen3_vl_moe",
"image-text-to-text",
"robotics",
"embodied-ai",
"egocentric",
"spatiotemporal",
"vision-language-model",
"video-understanding",
"grounding",
"planning",
"navigation",
"ocr",
"video-text-to-text",
"custom_code",
"conversational",
"en",... | image-text-to-text | 2026-01-29T09:39:07Z | <p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/66974212a9e7257fc37798dc/8eIGdvaZEuZKTcsjIAXXK.png" width="350" style="margin-bottom: 0.2;"/>
<p
<h2 align="center"><a href="https://github.com/alibaba-damo-academy/RynnBrain">RynnBrain: Open Embodied Foundation Models</a></h3>
<h5 a... | [] |
mradermacher/Apollo-1-2B-GGUF | mradermacher | 2025-09-26T16:53:17Z | 188 | 2 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3",
"en",
"fr",
"pt",
"de",
"ro",
"sv",
"da",
"bg",
"ru",
"cs",
"el",
"uk",
"es",
"nl",
"sk",
"hr",
"pl",
"lt",
"nb",
"nn",
"fa",
"sl",
"gu",
"lv",
"it",
"oc",
"ne",
"mr",
"be",
"... | null | 2025-09-07T05:33:29Z | ## 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": 361,
"end": 372,
"text": "Apollo-1-2B",
"label": "benchmark name",
"score": 0.6857191920280457
},
{
"start": 509,
"end": 525,
"text": "Apollo-1-2B-GGUF",
"label": "benchmark name",
"score": 0.735572099685669
},
{
"start": 1089,
"end": 1105,
"tex... |
z-lab/gemma-4-31B-it-PARO | z-lab | 2026-05-03T04:04:36Z | 13,764 | 13 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"mlx",
"conversational",
"arxiv:2511.10645",
"base_model:google/gemma-4-31B-it",
"base_model:quantized:google/gemma-4-31B-it",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"paroquant",
"region:us"
] | image-text-to-text | 2026-04-05T05:49:23Z | # z-lab/gemma-4-31B-it-PARO
**Pairwise Rotation Quantization for Efficient Reasoning LLM Inference**
<p>
<a href="https://arxiv.org/abs/2511.10645"><img src="https://img.shields.io/badge/arXiv-2511.10645-b31b1b.svg" alt="Paper"></a>
<a href="https://paroquant.z-lab.ai"><img src="https://img.shields.io/badge/Blog-... | [] |
Fremtind/norsbert4-base | Fremtind | 2025-10-27T10:40:40Z | 129 | 1 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"sentence-similarity",
"feature-extraction",
"dense",
"loss:CachedMultipleNegativesRankingLoss",
"custom_code",
"no",
"nn",
"nb",
"dataset:Fremtind/all-nli-norwegian",
"dataset:NbAiLab/ndla_parallel_paragraphs",
"base_model:ltg/norbert4-base",
"base_... | sentence-similarity | 2025-09-23T10:33:03Z | # SentenceTransformer based on NorBERT4-base
NorSBERT4-base is a [Sentence Transformer](https://www.SBERT.net) model finetuned from [ltg/norbert4-base](https://huggingface.co/ltg/norbert4-base).
The model maps sentences (and paragraphs) to a 960-dimensional dense vector space and can be used for semantic textual simi... | [] |
OpenVINO/LFM2.5-350M-fp16-ov | OpenVINO | 2026-03-31T21:23:36Z | 557 | 1 | openvino | [
"openvino",
"lfm2",
"liquid",
"lfm2.5",
"edge",
"text-generation",
"conversational",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:LiquidAI/LFM2.5-350M",
"base_model:finetune:LiquidAI/LFM2.5-350M",
"license:other",
"region:us"
] | text-generation | 2026-03-31T18:42:58Z | # LFM2.5-350M-fp16-ov
* Model creator: [LiquidAI](https://huggingface.co/LiquidAI)
* Original model: [LFM2.5-350M](https://huggingface.co/LiquidAI/LFM2.5-350M)
> **EXPERIMENTAL MODEL**
> This model has not been fully validated with OpenVINO. It may be fully supported and validated in the future.
## Description
This... | [] |
bartowski/NousResearch_NousCoder-14B-GGUF | bartowski | 2026-01-07T22:55:25Z | 1,073 | 7 | null | [
"gguf",
"text-generation",
"dataset:livecodebench/code_generation_lite",
"dataset:agentica-org/DeepCoder-Preview-Dataset",
"dataset:NousResearch/lcb_test",
"dataset:NousResearch/RLVR_Coding_Problems",
"base_model:NousResearch/NousCoder-14B",
"base_model:quantized:NousResearch/NousCoder-14B",
"licens... | text-generation | 2026-01-07T22:07:53Z | ## Llamacpp imatrix Quantizations of NousCoder-14B by NousResearch
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/b7652">b7652</a> for quantization.
Original model: https://huggingface.co/NousResearch/NousCoder-14B
All quants m... | [] |
meituan/EvoCUA-8B-20260105 | meituan | 2026-01-29T11:51:24Z | 13,471 | 14 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"computer-use",
"gui-agent",
"multimodal",
"osworld",
"conversational",
"en",
"zh",
"arxiv:2601.15876",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-01-13T08:24:07Z | <div align="center">
# EvoCUA: Evolving Computer Use Agent
**🥇 #1 Open-Source Model on OSWorld | A General-Purpose Multimodal Model Excelling at Computer Use**
[](https://huggingface.co/meituan/EvoCUA-32B-20260105)
[![Model](https://img.shields... | [
{
"start": 416,
"end": 429,
"text": "OSWorld Score",
"label": "evaluation metric",
"score": 0.7954106330871582
}
] |
mradermacher/MamayLM-Gemma-3-12B-IT-v1.0-GGUF | mradermacher | 2025-09-28T12:51:41Z | 312 | 2 | transformers | [
"transformers",
"gguf",
"gemma3",
"instruct",
"mamaylm",
"insait",
"uk",
"en",
"dataset:Goader/kobza",
"dataset:HuggingFaceFW/fineweb-2",
"dataset:HPLT/HPLT2.0_cleaned",
"dataset:wikimedia/wikipedia",
"dataset:HuggingFaceTB/smoltalk2",
"dataset:open-r1/Mixture-of-Thoughts",
"base_model:I... | null | 2025-09-28T11:45:53Z | ## 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... | [] |
stabilityai/sd-turbo | stabilityai | 2024-07-10T11:38:51Z | 762,564 | 443 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | 2023-11-27T16:41:20Z | # SD-Turbo Model Card
<!-- Provide a quick summary of what the model is/does. -->
SD-Turbo is a fast generative text-to-image model that can synthesize photorealistic images from a text prompt in a single network evaluation.
We release SD-Turbo as a research artifact, and to study small, dist... | [] |
cerebras/GLM-4.7-Flash-REAP-23B-A3B | cerebras | 2026-01-23T05:25:40Z | 5,165 | 67 | transformers | [
"transformers",
"safetensors",
"glm4_moe_lite",
"text-generation",
"glm",
"MOE",
"pruning",
"compression",
"conversational",
"en",
"arxiv:2510.13999",
"base_model:zai-org/GLM-4.7-Flash",
"base_model:finetune:zai-org/GLM-4.7-Flash",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-23T05:26:34Z | <p align="center">
<em>𓌳 <strong>REAP</strong>𓌳 the Experts: Why Pruning Prevails for One-Shot MoE Compression</em><br>
<img src="https://i.imgur.com/rmzG3gg.png" alt="REAP" width="75%">
</p>
# GLM-4.7-Flash-REAP-23B-A3B
## ✨ Highlights
Introducing **GLM-4.7-Flash-REAP-23B-A3B**, a **memory-efficient compress... | [] |
bartowski/OpenGVLab_InternVL3_5-30B-A3B-GGUF | bartowski | 2025-08-26T07:37:08Z | 7,565 | 7 | null | [
"gguf",
"image-text-to-text",
"base_model:OpenGVLab/InternVL3_5-30B-A3B",
"base_model:quantized:OpenGVLab/InternVL3_5-30B-A3B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | image-text-to-text | 2025-08-26T04:43:58Z | ## Llamacpp imatrix Quantizations of InternVL3_5-30B-A3B 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_5-30B-A3B
All qu... | [] |
freds0/distil-whisper-large-v3-ptbr | freds0 | 2025-03-30T21:59:18Z | 514,942 | 14 | null | [
"safetensors",
"whisper",
"asr",
"pt",
"ptbr",
"stt",
"speech-to-text",
"automatic-speech-recognition",
"base_model:distil-whisper/distil-large-v3",
"base_model:finetune:distil-whisper/distil-large-v3",
"license:mit",
"region:us"
] | automatic-speech-recognition | 2024-09-17T13:38:33Z | # Distil-Whisper-Large-v3 for Brazilian Portuguese
<!-- Provide a quick summary of what the model is/does. -->
This model is a fine-tuned version of distil-whisper-large-v3 for automatic speech recognition (ASR) in Brazilian Portuguese. It was trained using the Common Voice 16 dataset in conjunction with a private da... | [] |
mradermacher/Huihui-LFM2-2.6B-Exp-abliterated-GGUF | mradermacher | 2025-12-29T00:30:53Z | 144 | 2 | transformers | [
"transformers",
"gguf",
"liquid",
"lfm2",
"edge",
"abliterated",
"uncensored",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:huihui-ai/Huihui-LFM2-2.6B-Exp-abliterated",
"base_model:quantized:huihui-ai/Huihui-LFM2-2.6B-Exp-abliterated",
"license:other",
"endpoints_c... | null | 2025-12-28T21:27:44Z | ## 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... | [] |
stepfun-ai/Step-Audio-R1.1 | stepfun-ai | 2026-02-14T09:35:25Z | 175 | 161 | transformers | [
"transformers",
"safetensors",
"step_audio_2",
"text-generation",
"audio-reasoning",
"chain-of-thought",
"multi-modal",
"step-audio-r1",
"audio-text-to-text",
"custom_code",
"license:apache-2.0",
"region:us"
] | audio-text-to-text | 2026-01-14T06:37:24Z | ## Overview of Step-Audio-R1.1
<a href="https://www.stepfun.com/studio/audio?tab=conversation"><img src="https://img.shields.io/static/v1?label=Space%20Playground&message=Studio&color=yellow"></a> <a href="https://huggingface.co/spaces/stepfun-ai/Step-Audio-R1"><img src="https://img.shields.io/static/v1?label=Space&me... | [
{
"start": 1665,
"end": 1677,
"text": "AA benchmark",
"label": "benchmark name",
"score": 0.6576188206672668
}
] |
mlx-community/Qwen3.5-0.8B-OptiQ-4bit | mlx-community | 2026-04-26T05:38:35Z | 6,821 | 15 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"quantized",
"mixed-precision",
"4bit",
"8bit",
"optiq",
"apple-silicon",
"text-generation",
"qwen3.5",
"conversational",
"base_model:Qwen/Qwen3.5-0.8B",
"base_model:quantized:Qwen/Qwen3.5-0.8B",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2026-03-04T09:12:52Z | # Qwen3.5-0.8B-OptiQ-4bit
> Optimized for Apple Silicon with [mlx-optiq](https://mlx-optiq.pages.dev/) — sensitivity-aware mixed-precision quantization, reusable at inference, fine-tuning, and serving time.
This is a mixed-precision quantized version of [Qwen/Qwen3.5-0.8B](https://huggingface.co/Qwen/Qwen3.5-0.8B) in... | [] |
mradermacher/gemma-4-19b-a4b-it-REAP-heretic-GGUF | mradermacher | 2026-04-10T01:01:28Z | 489 | 1 | transformers | [
"transformers",
"gguf",
"safetensors",
"gemma4",
"moe",
"pruning",
"reap",
"cerebras",
"expert-pruning",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"en",
"base_model:coder3101/gemma-4-19b-a4b-it-REAP-heretic",
"base_model:quantized:coder3101/gemma-4-19b-a4b-it-REAP-... | null | 2026-04-10T00:11:24Z | ## 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 ... | [] |
Runware/Qwen-Image | Runware | 2025-08-06T21:36:07Z | 265 | 1 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"en",
"zh",
"arxiv:2508.02324",
"license:apache-2.0",
"diffusers:QwenImagePipeline",
"region:us"
] | text-to-image | 2025-08-06T20:51:05Z | <p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/qwen_image_logo.png" width="400"/>
<p>
<p align="center">
💜 <a href="https://chat.qwen.ai/"><b>Qwen Chat</b></a>   |   🤗 <a href="https://huggingface.co/Qwen/Qwen-Image">Hugging Face</a>   | &... | [] |
mradermacher/Big-Tiger-Gemma-27B-v3-heretic-i1-GGUF | mradermacher | 2025-12-06T04:58:35Z | 189 | 4 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:DogOnKeyboard/Big-Tiger-Gemma-27B-v3-heretic",
"base_model:quantized:DogOnKeyboard/Big-Tiger-Gemma-27B-v3-heretic",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-24T03:30:34Z | ## 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_... | [
{
"start": 470,
"end": 500,
"text": "Big-Tiger-Gemma-27B-v3-heretic",
"label": "benchmark name",
"score": 0.6869080662727356
},
{
"start": 637,
"end": 675,
"text": "Big-Tiger-Gemma-27B-v3-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.7733285427093506
},
{
... |
xiao-fei/Prot2Text-V2-11B-Instruct-hf | xiao-fei | 2025-10-23T14:53:54Z | 109 | 3 | null | [
"safetensors",
"esm2llama_instruct",
"biology",
"text-generation",
"custom_code",
"en",
"arxiv:2505.11194",
"base_model:facebook/esm2_t36_3B_UR50D",
"base_model:finetune:facebook/esm2_t36_3B_UR50D",
"license:mit",
"region:us"
] | text-generation | 2025-10-08T14:40:05Z | # Pro2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment
This is the official repository for the paper "Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment" by Xiao Fei, Michail Chatzianastasis, Sarah Almeida Carneiro, Hadi Abdine, Lawrence P. Petalidis, and Michalis... | [] |
swiss-ai/Apertus-70B-Instruct-2509 | swiss-ai | 2026-04-21T09:39:24Z | 6,194 | 185 | transformers | [
"transformers",
"safetensors",
"apertus",
"text-generation",
"multilingual",
"compliant",
"swiss-ai",
"conversational",
"arxiv:2509.14233",
"base_model:swiss-ai/Apertus-70B-2509",
"base_model:finetune:swiss-ai/Apertus-70B-2509",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",... | text-generation | 2025-09-01T16:03:48Z | # Apertus
## Table of Contents
1. [Model Summary](#model-summary)
2. [How to use](#how-to-use)
3. [Evaluation](#evaluation)
4. [Training](#training)
5. [Limitations](#limitations)
6. [Legal Aspec... | [
{
"start": 2,
"end": 9,
"text": "Apertus",
"label": "benchmark name",
"score": 0.6226610541343689
},
{
"start": 359,
"end": 366,
"text": "Apertus",
"label": "benchmark name",
"score": 0.6424150466918945
}
] |
nvidia/parakeet-ctc-1.1b | nvidia | 2025-09-24T14:54:06Z | 986,440 | 42 | nemo | [
"nemo",
"safetensors",
"parakeet_ctc",
"automatic-speech-recognition",
"transformers",
"speech",
"audio",
"FastConformer",
"Conformer",
"pytorch",
"NeMo",
"hf-asr-leaderboard",
"ctc",
"en",
"dataset:librispeech_asr",
"dataset:fisher_corpus",
"dataset:Switchboard-1",
"dataset:WSJ-0"... | automatic-speech-recognition | 2023-12-28T15:27:57Z | # Parakeet CTC 1.1B (en)
<style>
img {
display: inline;
}
</style>
[](#model-architecture)
| [](#model-architecture)
| [![Language](https... | [] |
apple/DepthPro | apple | 2025-02-28T18:31:41Z | 2,006 | 507 | depth-pro | [
"depth-pro",
"depth-estimation",
"arxiv:2410.02073",
"license:apple-amlr",
"region:us"
] | depth-estimation | 2024-10-03T14:45:37Z | # Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
We present a foundation model for zero-shot metric monocular depth estimation. Our model, Depth Pro, synthesizes high-resolution depth maps with unparallele... | [
{
"start": 2,
"end": 11,
"text": "Depth Pro",
"label": "benchmark name",
"score": 0.8348998427391052
},
{
"start": 67,
"end": 76,
"text": "Depth Pro",
"label": "benchmark name",
"score": 0.8325870633125305
},
{
"start": 254,
"end": 263,
"text": "Depth Pro"... |
unsloth/DeepSeek-R1-Distill-Llama-70B-bnb-4bit | unsloth | 2025-02-14T23:53:52Z | 1,791 | 25 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"deepseek",
"unsloth",
"llama-3",
"meta",
"conversational",
"en",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
"base_model:quantized:deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
"license:llama3.3",
"text-generation-infere... | text-generation | 2025-01-20T13:11:36Z | ## ***See [our collection](https://huggingface.co/collections/unsloth/deepseek-r1-all-versions-678e1c48f5d2fce87892ace5) for versions of Deepseek-R1 including GGUF and original formats.***
# Finetune LLMs 2-5x faster with 70% less memory via Unsloth!
We have a free Google Colab Tesla T4 notebook for Llama 3.1 (8B) he... | [] |
codgician/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GPTQ-int4 | codgician | 2026-03-12T15:27:15Z | 7,710 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"qwen3.5",
"gptq",
"int4",
"quantized",
"reasoning",
"multimodal",
"vision",
"conversational",
"en",
"zh",
"base_model:Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled",
"base_model:quantized:Jackrong/Qwen3.5-27B-C... | image-text-to-text | 2026-03-10T14:45:37Z | # Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GPTQ-int4
This is a **GPTQ INT4 quantized** version of [Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled](https://huggingface.co/Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled).
Please refer to the original model card for details on the model archite... | [] |
meituan-longcat/LongCat-AudioDiT-3.5B | meituan-longcat | 2026-04-03T10:50:21Z | 407 | 39 | null | [
"safetensors",
"audiodit",
"zh",
"en",
"license:mit",
"region:us"
] | null | 2026-03-30T06:03:21Z | # LongCat-AudioDiT: High-Fidelity Diffusion Text-to-Speech in the Waveform Latent Space
<div align="center">
<img src="./LongCat-AudioDiT.svg" width="45%" alt="LongCat-AudioDiT" />
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href="https://github.com/meituan-longcat/LongCat-AudioDiT/blob/main/Lon... | [] |
darkc0de/XortronCriminalComputingConfig-i1-GGUF | darkc0de | 2026-03-17T07:13:34Z | 1,713 | 2 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"uncensored",
"harmful",
"en",
"base_model:darkc0de/XortronCriminalComputingConfig",
"base_model:quantized:darkc0de/XortronCriminalComputingConfig",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-17T07:13:34Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/darkc0de/XortronCriminalComputingConfig
<!-- provided-files -->
***For a convenient overview and down... | [] |
tcepi/prog_integridade_model | tcepi | 2026-02-26T15:48:06Z | 190 | 2 | transformers | [
"transformers",
"safetensors",
"modernbert",
"text-classification",
"binary-classification",
"pytorch",
"pt",
"dataset:tcepi/prog_integridade_dataset",
"base_model:answerdotai/ModernBERT-base",
"base_model:finetune:answerdotai/ModernBERT-base",
"license:mit",
"model-index",
"text-embeddings-... | text-classification | 2026-02-26T14:16:26Z | # Programa de Integridade Classification Model
Este modelo é um fine-tune do [ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) para classificação binária, treinado no dataset [tcepi/prog_integridade_dataset](https://huggingface.co/datasets/tcepi/prog_integridade_dataset).
## Descrição do Modelo
-... | [
{
"start": 579,
"end": 587,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.7479234337806702
},
{
"start": 631,
"end": 640,
"text": "Precision",
"label": "evaluation metric",
"score": 0.6143225431442261
},
{
"start": 682,
"end": 689,
"text": "... |
NewBie-AI/NewBie-image-Exp0.1 | NewBie-AI | 2026-02-18T17:29:25Z | 174 | 277 | diffusers | [
"diffusers",
"safetensors",
"next-dit",
"text-to-image",
"transformer",
"image-generation",
"Anime",
"en",
"license:other",
"diffusers:NewbiePipeline",
"region:us"
] | text-to-image | 2025-11-30T03:18:14Z | <h1 align="center">NewBie image Exp0.1<br><sub><sup>Efficient Image Generation Base Model Based on Next-DiT</sup></sub></h1>
<div align="center">
[](https://github.com/NewBieAI-Lab/NewBie-image-Exp0.1) ... | [] |
ApsaraStackMaaS/EvoQwen2.5-VL-Retriever-7B-v1 | ApsaraStackMaaS | 2025-11-04T10:08:53Z | 15,282 | 17 | null | [
"safetensors",
"qwen2_5_vl",
"visual-document-retrieval",
"en",
"dataset:vidore/colpali_train_set",
"dataset:openbmb/VisRAG-Ret-Train-Synthetic-data",
"dataset:openbmb/VisRAG-Ret-Train-In-domain-data",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-7B-Instruct",
"li... | visual-document-retrieval | 2025-11-04T03:23:39Z | # Model Card for Model ID
EvoQwen2.5-VL-Retriever-7B-v1 is a high-performance multimodal retrieval model built upon the Qwen2.5-VL-7B-Instruct backbone and employing multi-vector late-interaction. The model is fine-tuned by using an innovative evolutionary training framework (Evo-Retriever), enabling accurate retrieval... | [] |
unsloth/Qwen3-VL-235B-A22B-Thinking-GGUF | unsloth | 2025-12-31T08:13:28Z | 2,294 | 36 | null | [
"gguf",
"qwen3_vl_moe",
"unsloth",
"qwen",
"qwen3",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-235B-A22B-Thinking",
"base_model:quantized:Qwen/Qwen3-VL-235B-A22B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"region:... | null | 2025-09-24T00:29:15Z | > [!NOTE]
> Includes Unsloth **chat template fixes**! Use `--jinja`
>
<div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See our <a href="https://huggingface.co/collections/unsloth/qwen3-vl">Qwen3-VL collection</a> for all versions including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margi... | [
{
"start": 196,
"end": 204,
"text": "qwen3-vl",
"label": "benchmark name",
"score": 0.6959997415542603
},
{
"start": 206,
"end": 214,
"text": "Qwen3-VL",
"label": "benchmark name",
"score": 0.8011247515678406
},
{
"start": 257,
"end": 261,
"text": "GGUF",
... |
GhostTheShadow/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GGUF | GhostTheShadow | 2026-03-19T18:28:09Z | 554 | 1 | null | [
"gguf",
"qwen3_5",
"unsloth",
"qwen",
"qwen3.5",
"reasoning",
"chain-of-thought",
"Dense",
"text-generation",
"en",
"zh",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"base_model:Qwen/Qwen3.5-27B",
"base_model:quantized:Qwen/Qwen3.5-27B"... | text-generation | 2026-03-19T18:28:09Z | # 🌟 Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled
> 📢 **Release Note**
> **Build Environment Upgrades:**
> - **Fine-tuning Framework**: **Unsloth 2026.3.3**
> - **Core Dependencies**: **Transformers 5.2.0**
> - This model fixes the crash in the official model caused by the Jinja template not supporting the **"dev... | [] |
mradermacher/Core_24B_V.1-i1-GGUF | mradermacher | 2025-07-11T08:11:25Z | 153 | 5 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"creative",
"en",
"ru",
"base_model:OddTheGreat/Core_24B_V.1",
"base_model:quantized:OddTheGreat/Core_24B_V.1",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-03-24T02:36:18Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/OddTheGreat/Core_24B_V.1
<!-- provided-files -->
***For a convenient overview and download list, visi... | [] |
Ayodele01/gemma-4-21b-a4b-it-REAP-GGUF | Ayodele01 | 2026-04-22T01:59:28Z | 1,954 | 2 | gguf | [
"gguf",
"gemma",
"gemma-4",
"moe",
"pruning",
"reap",
"llama-cpp",
"text-generation",
"en",
"arxiv:2510.13999",
"base_model:0xSero/gemma-4-21b-a4b-it-REAP",
"base_model:quantized:0xSero/gemma-4-21b-a4b-it-REAP",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-04-05T19:36:03Z | # Gemma-4 21B-A4B-it REAP - GGUF
GGUF quantized versions of [0xSero/gemma-4-21b-a4b-it-REAP](https://huggingface.co/0xSero/gemma-4-21b-a4b-it-REAP).
## Model Description
This is **20% expert-pruned** version of Google's Gemma-4 26B-A4B-it using **[Cerebras REAP](https://github.com/cerebras/reap)** (Router-weighted E... | [
{
"start": 393,
"end": 396,
"text": "26B",
"label": "evaluation metric",
"score": 0.6392414569854736
}
] |
lmstudio-community/gemma-3-12b-it-GGUF | lmstudio-community | 2025-03-12T18:33:00Z | 61,353 | 43 | null | [
"gguf",
"image-text-to-text",
"base_model:google/gemma-3-12b-it",
"base_model:quantized:google/gemma-3-12b-it",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-03-12T13:12:53Z | ## 💫 Community Model> gemma 3 12b it by Google
*👾 [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:** [google](https://huggingface.co/google)<br>
**Original... | [] |
tencent/Penguin-Encoder | tencent | 2026-03-09T05:40:56Z | 3,856 | 21 | transformers | [
"transformers",
"safetensors",
"penguinvl_vision_encoder",
"feature-extraction",
"multi-modal",
"large-language-model",
"vision-language-model",
"vision-encoder",
"custom_code",
"en",
"arxiv:2603.06569",
"base_model:Qwen/Qwen3-0.6B",
"base_model:finetune:Qwen/Qwen3-0.6B",
"license:apache-2... | feature-extraction | 2026-03-05T03:04:31Z | <p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6258a6455ea3a0a9b6de3f22/mIMYeUFquGSbm89lT61TG.png" width="160" />
</p>
<h2 align="center">Vision Encoder of Penguin-VL</h2>
<h4 align="center">
Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders
</h4>
<h4 align="... | [] |
nunchaku-ai/nunchaku-qwen-image-edit | nunchaku-ai | 2025-11-16T02:24:19Z | 12,585 | 114 | diffusers | [
"diffusers",
"image-editing",
"SVDQuant",
"Qwen-Image-Edit",
"Diffusion",
"Quantization",
"ICLR2025",
"text-to-image",
"en",
"dataset:mit-han-lab/svdquant-datasets",
"arxiv:2411.05007",
"base_model:Qwen/Qwen-Image-Edit",
"base_model:quantized:Qwen/Qwen-Image-Edit",
"license:apache-2.0",
... | text-to-image | 2025-09-10T01:16:49Z | <p align="center" style="border-radius: 10px">
<img src="https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/nunchaku_v2.png" width="30%" alt="Nunchaku Logo"/>
</p>
<div align="center">
<a href=https://discord.gg/Wk6PnwX9Sm target="_blank"><img src=https://img.shields.io/badge/dynamic/js... | [] |
jinaai/jina-embeddings-v3-hf | jinaai | 2026-03-18T16:50:18Z | 639 | 1 | transformers | [
"transformers",
"onnx",
"safetensors",
"jina_embeddings_v3",
"feature-extraction",
"sentence-similarity",
"mteb",
"sentence-transformers",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
... | feature-extraction | 2026-03-18T15:16:14Z | <br><br>
<p align="center">
<img src="https://huggingface.co/datasets/jinaai/documentation-images/resolve/main/logo.webp" alt="Jina AI: Your Search Foundation, Supercharged!" width="150px">
</p>
<p align="center">
<b>The embedding model trained by <a href="https://jina.ai/"><b>Jina AI</b></a>.</b>
</p>
<p align="ce... | [] |
facebook/wav2vec2-large-960h-lv60-self | facebook | 2022-05-23T16:13:42Z | 92,270 | 161 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"speech",
"audio",
"hf-asr-leaderboard",
"en",
"dataset:librispeech_asr",
"arxiv:2010.11430",
"arxiv:2006.11477",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"deploy:azure",
"region... | automatic-speech-recognition | 2022-03-02T23:29:05Z | # Wav2Vec2-Large-960h-Lv60 + Self-Training
[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
The large model pretrained and fine-tuned on 960 hours of Libri-Light and Librispeech on 16kHz sampled speech audio. Model was trained with [Self-Training objectiv... | [
{
"start": 1022,
"end": 1025,
"text": "WER",
"label": "evaluation metric",
"score": 0.6574611067771912
}
] |
llmfan46/Qwen3.5-40B-Claude-4.5-Opus-High-Reasoning-Thinking-uncensored-heretic-GGUF | llmfan46 | 2026-04-13T01:14:01Z | 3,651 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"fine tune",
"all use cases",
"coder",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres",
... | image-text-to-text | 2026-03-15T20:50:48Z | <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... | [] |
MarinaraSpaghetti/NemoMix-Unleashed-12B | MarinaraSpaghetti | 2025-02-05T12:32:23Z | 346 | 271 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-08-21T16:42:43Z | 
# Information
## Details
Okay, I tried really hard to improve my ChatML merge... | [] |
allegro/plt5-small | allegro | 2022-08-03T20:20:31Z | 538 | 3 | transformers | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"T5",
"translation",
"summarization",
"question answering",
"reading comprehension",
"pl",
"arxiv:2205.08808",
"license:cc-by-4.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | translation | 2022-03-02T23:29:05Z | # plT5 Small
**plT5** models are T5-based language models trained on Polish corpora. The models were optimized for the original T5 denoising target.
## Corpus
plT5 was trained on six different corpora available for Polish language:
| Corpus | Tokens | Documents |
| :------ | ------: | ------: |
| [CCNet Middle](https... | [] |
coder3101/Qwen3-VL-8B-Thinking-heretic | coder3101 | 2026-01-17T18:07:36Z | 358 | 1 | null | [
"safetensors",
"qwen3_vl",
"heretic",
"uncensored",
"decensored",
"abliterated",
"image-text-to-text",
"conversational",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-8B-Thinking",
"base_model:finetune:Qwen/Qwen3-VL-8B-Thinking",
... | image-text-to-text | 2025-11-23T13:31:26Z | # This is a decensored version of [Qwen/Qwen3-VL-8B-Thinking](https://huggingface.co/Qwen/Qwen3-VL-8B-Thinking), made using [Heretic](https://github.com/p-e-w/heretic) v1.0.1
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 27.64 |
| **attn.o_proj.max_weight** | 1.33 |
| ... | [
{
"start": 35,
"end": 60,
"text": "Qwen/Qwen3-VL-8B-Thinking",
"label": "benchmark name",
"score": 0.6072275638580322
},
{
"start": 322,
"end": 353,
"text": "attn.o_proj.max_weight_position",
"label": "evaluation metric",
"score": 0.6925649046897888
},
{
"start": ... |
mradermacher/Qwen3-VL-8B-Thinking-abliterated-GGUF | mradermacher | 2025-11-15T12:08:28Z | 3,155 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"abliterated",
"v1.0",
"en",
"base_model:prithivMLmods/Qwen3-VL-8B-Thinking-abliterated-v1",
"base_model:quantized:prithivMLmods/Qwen3-VL-8B-Thinking-abliterated-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational... | null | 2025-11-03T08:42:42Z | ## 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... | [] |
google/metricx-24-hybrid-xxl-v2p6 | google | 2024-12-12T16:36:13Z | 703 | 16 | null | [
"pytorch",
"mt5",
"license:apache-2.0",
"region:us"
] | null | 2024-11-14T19:31:52Z | # MetricX-24 (XXL)
*This is not an officially supported Google product.*
> ℹ️ For the bfloat16 variant of this model, see [MetricX-24 (XXL, bfloat16)](https://huggingface.co/google/metricx-24-hybrid-xxl-v2p6-bfloat16).
**GitHub repository**: https://github.com/google-research/metricx
The repository contains the cod... | [
{
"start": 1017,
"end": 1038,
"text": "MetricX-24-Hybrid-XXL",
"label": "evaluation metric",
"score": 0.6400812864303589
},
{
"start": 1183,
"end": 1206,
"text": "MetricX-24-Hybrid-Large",
"label": "evaluation metric",
"score": 0.6362674832344055
}
] |
Motif-Technologies/Motif-2-12.7B-Instruct | Motif-Technologies | 2026-03-10T00:58:53Z | 120 | 48 | transformers | [
"transformers",
"safetensors",
"Motif",
"text-generation",
"text-generation-inference",
"conversational",
"custom_code",
"en",
"ko",
"arxiv:2511.07464",
"base_model:Motif-Technologies/Motif-2-12.7B-Base",
"base_model:finetune:Motif-Technologies/Motif-2-12.7B-Base",
"license:apache-2.0",
"r... | text-generation | 2025-10-30T04:00:28Z | Last update: 12 Nov. 2025
# Introduction
We are pleased to announce **Motif-2-12.7B-Instruct**, a 12.7-billion-parameter language model. This model is an <U>**supervised fine-tuning (SFT)** variant</U> of our base model: https://huggingface.co/Motif-Technologies/Motif-2-12.7B-Base. Detailed information is found in th... | [
{
"start": 72,
"end": 94,
"text": "Motif-2-12.7B-Instruct",
"label": "benchmark name",
"score": 0.7352815270423889
},
{
"start": 438,
"end": 460,
"text": "Motif-2-12.7B-Instruct",
"label": "benchmark name",
"score": 0.6125009059906006
},
{
"start": 660,
"end":... |
ibm-granite/granite-vision-3.2-2b | ibm-granite | 2026-04-02T02:42:28Z | 2,133 | 123 | transformers | [
"transformers",
"safetensors",
"llava_next",
"image-text-to-text",
"conversational",
"en",
"arxiv:2502.09927",
"base_model:ibm-granite/granite-3.1-2b-instruct",
"base_model:finetune:ibm-granite/granite-3.1-2b-instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",... | image-text-to-text | 2025-02-17T22:50:24Z | # granite-vision-3.2-2b
**Model Summary:**
granite-vision-3.2-2b is a compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infographics, plots, diagrams, and more. The model was trained on a meticulously curated... | [
{
"start": 941,
"end": 948,
"text": "Molmo-E",
"label": "benchmark name",
"score": 0.7056387066841125
},
{
"start": 951,
"end": 960,
"text": "InternVL2",
"label": "benchmark name",
"score": 0.6698398590087891
},
{
"start": 963,
"end": 968,
"text": "Phi3v",... |
TheBloke/Llama-2-70B-Chat-GPTQ | TheBloke | 2023-09-27T12:44:49Z | 3,038 | 259 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"arxiv:2307.09288",
"base_model:meta-llama/Llama-2-70b-chat-hf",
"base_model:quantized:meta-llama/Llama-2-70b-chat-hf",
"license:llama2",
"text-generation-inference",
"4-bit",
"gp... | text-generation | 2023-07-18T23:33:13Z | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<d... | [] |
thelamapi/next2-0.8b | thelamapi | 2026-03-08T21:56:25Z | 126 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"turkish",
"türkiye",
"reasoning",
"ai",
"lamapi",
"next2",
"next2-0.8b",
"qwen3.5",
"text-generation",
"open-source",
"0.8b",
"edge-ai",
"large-language-model",
"llm",
"transformer",
"artificial-intelligence",
"... | image-text-to-text | 2026-03-07T22:08:08Z | <div align="center" style="font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;">
<h1 style="color: #4A90E2; font-weight: 800; font-size: 2.5em; margin-bottom: 5px;">🧠 Next2 0.8B</h... | [] |
mradermacher/Dolphin3.0-R1-Mistral-24B-abliterated-GGUF | mradermacher | 2025-02-12T21:37:49Z | 1,060 | 4 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Dolphin3.0-R1-Mistral-24B-abliterated",
"base_model:quantized:huihui-ai/Dolphin3.0-R1-Mistral-24B-abliterated",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-02-10T18:53:58Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/huihui-ai/Dolphin3.0-R1-Mistral-24B-abliterated
<!-- provided-files -->
weighted/imatrix quants are available at https:/... | [] |
mradermacher/Rocinante-X-12B-v1-i1-GGUF | mradermacher | 2026-01-26T22:50:55Z | 720 | 4 | transformers | [
"transformers",
"gguf",
"en",
"base_model:TheDrummer/Rocinante-X-12B-v1",
"base_model:quantized:TheDrummer/Rocinante-X-12B-v1",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-26T19:47:54Z | ## 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": 621,
"end": 647,
"text": "Rocinante-X-12B-v1-i1-GGUF",
"label": "benchmark name",
"score": 0.7095704078674316
},
{
"start": 721,
"end": 744,
"text": "Rocinante-X-12B-v1-GGUF",
"label": "benchmark name",
"score": 0.6742806434631348
},
{
"start": 1205,
... |
ibm-granite/granite-4.0-350m | ibm-granite | 2025-10-23T08:53:54Z | 10,950 | 60 | transformers | [
"transformers",
"safetensors",
"granitemoehybrid",
"text-generation",
"language",
"granite-4.0",
"conversational",
"arxiv:0000.00000",
"base_model:ibm-granite/granite-4.0-350m-base",
"base_model:finetune:ibm-granite/granite-4.0-350m-base",
"license:apache-2.0",
"endpoints_compatible",
"deplo... | text-generation | 2025-10-07T20:25:05Z | # Granite-4.0-350M
**Model Summary:**
Granite-4.0-350M is a lightweight instruct model finetuned from *Granite-4.0-350M-Base* using a combination of open source instruction datasets with permissive license and internally collected synthetic datasets. This model is developed using a diverse set of techniques including ... | [] |
mradermacher/NuMarkdown-8B-Thinking-fork-GGUF | mradermacher | 2025-08-30T12:40:12Z | 122 | 1 | transformers | [
"transformers",
"gguf",
"OCR",
"vision-language",
"VLM",
"Reasoning",
"document-to-markdown",
"qwen2.5",
"markdown",
"extraction",
"RAG",
"en",
"base_model:chaitnya26/NuMarkdown-8B-Thinking-fork",
"base_model:quantized:chaitnya26/NuMarkdown-8B-Thinking-fork",
"license:mit",
"endpoints_... | null | 2025-08-30T02:13:20Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static qu... | [] |
huihui-ai/Huihui-Qwen3-8B-abliterated-v2 | huihui-ai | 2025-06-18T16:15:07Z | 9,154 | 37 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"chat",
"abliterated",
"uncensored",
"conversational",
"base_model:Qwen/Qwen3-8B",
"base_model:finetune:Qwen/Qwen3-8B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-06-18T15:24:27Z | # huihui-ai/Huihui-Qwen3-8B-abliterated-v2
This is an uncensored version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
This is a crude, proof-of-concept... | [] |
bartowski/moonshotai_Kimi-K2.6-GGUF | bartowski | 2026-04-25T16:50:40Z | 3,253 | 3 | null | [
"gguf",
"compressed-tensors",
"text-generation",
"base_model:moonshotai/Kimi-K2.6",
"base_model:quantized:moonshotai/Kimi-K2.6",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-04-23T16:21:28Z | ## Llamacpp imatrix Quantizations of Kimi-K2.6 by moonshotai
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/b8919">b8919</a> for quantization.
Original model: https://huggingface.co/moonshotai/Kimi-K2.6
All quants made using im... | [] |
mradermacher/Ling-flash-2.0-i1-GGUF | mradermacher | 2025-12-09T13:50:03Z | 121 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:inclusionAI/Ling-flash-2.0",
"base_model:quantized:inclusionAI/Ling-flash-2.0",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-22T05:06:09Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
Vikhrmodels/Vikhr-Qwen-2.5-1.5B-Instruct | Vikhrmodels | 2024-11-26T19:38:32Z | 361 | 15 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"ru",
"en",
"dataset:Vikhrmodels/GrandMaster-PRO-MAX",
"arxiv:2405.13929",
"base_model:Qwen/Qwen2.5-1.5B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-1.5B-Instruct",
"license:apache-2.0",
"text-generation-inference"... | text-generation | 2024-10-06T20:19:59Z | # 💨🦅 Vikhr-Qwen-2.5-1.5B-Instruct
#### RU
Инструктивная модель на основе **Qwen-2.5-1.5B-Instruct**, обученная на русскоязычном датасете **GrandMaster-PRO-MAX**. Создана для высокоэффективной обработки текстов на русском и английском языках, обеспечивая точные ответы и быстрое выполнение задач.
#### EN
Instruct... | [] |
llmfan46/Qwen3.5-35B-A3B-heretic-v1-GGUF | llmfan46 | 2026-03-27T23:01:08Z | 17,953 | 23 | null | [
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"qwen3_5_moe",
"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",
"conversational"
] | image-text-to-text | 2026-02-27T11:36:24Z | <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... | [] |
Jackrong/gpt-oss-120b-Distill-Phi-4-14B-GGUF | Jackrong | 2025-10-02T11:37:35Z | 1,118 | 4 | transformers | [
"transformers",
"gguf",
"phi3",
"text-generation-inference",
"unsloth",
"question-answering",
"en",
"zh",
"dataset:Jackrong/Natural-Reasoning-gpt-oss-120B-S1",
"arxiv:2402.03300",
"arxiv:2504.21318",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | question-answering | 2025-09-24T01:12:30Z | <h3 align="center">Replication and Exploration of the DeepSeek-R1 《Nature》 Paper Methodology 🚀</h3>
- **Developed by:** Soren
- **gpt-oss-120b-Distill-Phi-4-14B** is a GRPO inference test model based on the `microsoft/phi-4` (14B) base model. It is fine-tuned through a three-stage training pipeline—**SFT (Cold Start... | [] |
prithivMLmods/Common-Voice-Gender-Detection | prithivMLmods | 2025-11-12T02:21:55Z | 139,016 | 23 | transformers | [
"transformers",
"safetensors",
"wav2vec2",
"audio-classification",
"voice-gender-detection",
"male",
"female",
"biology",
"SFT",
"en",
"arxiv:2006.11477",
"base_model:facebook/wav2vec2-base-960h",
"base_model:finetune:facebook/wav2vec2-base-960h",
"doi:10.57967/hf/5684",
"license:apache-... | audio-classification | 2025-05-31T10:39:16Z | 
# Common-Voice-Gender-Detection
> **Common-Voice-Gender-Detection** is a fine-tuned version of `facebook/wav2vec2-base-960h` for **binary audio classification**, specifically trained to detect speaker gender... | [] |
BAAI/bge-large-zh-v1.5 | BAAI | 2024-04-02T14:00:04Z | 628,450 | 615 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"zh",
"arxiv:2401.03462",
"arxiv:2312.15503",
"arxiv:2311.13534",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"deploy... | feature-extraction | 2023-09-12T05:22:11Z | <h1 align="center">FlagEmbedding</h1>
<h4 align="center">
<p>
<a href=#model-list>Model List</a> |
<a href=#frequently-asked-questions>FAQ</a> |
<a href=#usage>Usage</a> |
<a href="#evaluation">Evaluation</a> |
<a href="#train">Train</a> |
<a href="#contact">Conta... | [] |
mradermacher/GLM-4.7-Flash-absolute-heresy-GGUF | mradermacher | 2026-02-14T20:13:28Z | 256 | 3 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"zh",
"base_model:MuXodious/GLM-4.7-Flash-absolute-heresy",
"base_model:quantized:MuXodious/GLM-4.7-Flash-absolute-heresy",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-14T17:27:30Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF | bartowski | 2025-03-07T19:13:17Z | 33,576 | 109 | null | [
"gguf",
"text-generation",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
"base_model:quantized:deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-01-20T14:53:04Z | ## Llamacpp imatrix Quantizations of DeepSeek-R1-Distill-Qwen-7B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4514">b4514</a> for quantization.
Original model: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
... | [] |
shauray/flux.1-dev-uncensored-q4 | shauray | 2025-01-04T10:11:40Z | 1,532 | 10 | diffusers | [
"diffusers",
"safetensors",
"license:mit",
"region:us"
] | null | 2024-10-31T21:47:35Z | # flux-uncensored-nf4
## Summary
Flux base model merged with uncensored LoRA, quantized to NF4. This model is not for those looking for "safe" or watered-down outputs. It’s optimized for real-world use with fewer constraints and lower VRAM requirements, thanks to NF4 quantization.
## Specs
* Model: Flux base
* LoRA: ... | [] |
ByteDance/Ouro-2.6B | ByteDance | 2026-01-18T20:41:53Z | 3,083 | 68 | transformers | [
"transformers",
"safetensors",
"ouro",
"text-generation",
"looped-language-model",
"reasoning",
"recurrent-depth",
"conversational",
"custom_code",
"arxiv:2510.25741",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-10-28T22:19:46Z | # Ouro-2.6B
[📚 Paper (Hugging Face)](https://huggingface.co/papers/2510.25741) - [🌐 Project Page](https://ouro-llm.github.io/)
## Model Description
**⚠️ IMPORTANT: This model is intended for research purposes only. It is provided as-is without warranties for production use.**
**Our... | [
{
"start": 2,
"end": 11,
"text": "Ouro-2.6B",
"label": "benchmark name",
"score": 0.9689856767654419
},
{
"start": 315,
"end": 324,
"text": "Ouro-2.6B",
"label": "benchmark name",
"score": 0.9743568897247314
},
{
"start": 1021,
"end": 1041,
"text": "early_... |
hostkimjang/HyperCLOVAX-SEED-Think-32B-heretic | hostkimjang | 2026-01-12T16:02:37Z | 494 | 5 | null | [
"safetensors",
"gguf",
"llama",
"chat",
"bf16",
"model-editing",
"text-generation",
"conversational",
"en",
"ko",
"base_model:naver-hyperclovax/HyperCLOVAX-SEED-Think-32B",
"base_model:quantized:naver-hyperclovax/HyperCLOVAX-SEED-Think-32B",
"license:other",
"endpoints_compatible",
"regi... | text-generation | 2026-01-09T17:06:15Z | # HyperCLOVAX-SEED-Think-32B-heretic
**HyperCLOVAX-SEED-Think-32B-heretic**은 `naver-hyperclovax/HyperCLOVAX-SEED-Think-32B`를 기반으로, 사후(weight editing) 방식으로 **과잉 거부(refusal) 성향을 완화**하는 방향의 수정이 적용된 변형 모델입니다.
---
## Model Summary (KO)
- **Base model**: `naver-hyperclovax/HyperCLOVAX-SEED-Think-32B`
- **Format**: BF16 (... | [
{
"start": 40,
"end": 74,
"text": "HyperCLOVAX-SEED-Think-32B-heretic",
"label": "benchmark name",
"score": 0.620159387588501
},
{
"start": 254,
"end": 298,
"text": "naver-hyperclovax/HyperCLOVAX-SEED-Think-32B",
"label": "benchmark name",
"score": 0.652239978313446
},
... |
unsloth/gemma-3-4b-it-qat-GGUF | unsloth | 2025-06-15T03:40:05Z | 4,290 | 30 | transformers | [
"transformers",
"gguf",
"gemma3",
"image-text-to-text",
"unsloth",
"gemma",
"google",
"en",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.00161",
"arxiv:2009.03300",
"arxiv:230... | image-text-to-text | 2025-04-22T04:43:20Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/gemma-3-67d12b7e8816ec6efa7e4e5b">our collection</a> for all versions of Gemma 3 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em><a href="https://docs.... | [] |
litert-community/convnext_base | litert-community | 2026-04-27T21:45:40Z | 105 | 1 | litert | [
"litert",
"tflite",
"vision",
"image-classification",
"google",
"computer-vision",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"model-index",
"region:us"
] | image-classification | 2026-02-08T21:12:11Z | # ConvNeXt_Base
The ConvNeXt_Base architecture is a convolutional neural network pre-trained on the ImageNet-1k dataset. Originally introduced by Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie. in the modernized paper, [A ConvNet for the 2020s](https://arxiv.org/abs/2201.0354... | [] |
tencent/Hunyuan3D-2mini | tencent | 2025-10-17T10:11:36Z | 11,305 | 124 | hunyuan3d-2 | [
"hunyuan3d-2",
"image-to-3d",
"text-to-3d",
"en",
"zh",
"arxiv:2501.12202",
"arxiv:2411.02293",
"license:other",
"region:us"
] | image-to-3d | 2025-03-12T11:36:01Z | <p align="center">
<img src="https://huggingface.co/tencent/Hunyuan3D-2/resolve/main/assets/images/teaser.jpg">
</p>
<div align="center">
<a href=https://3d.hunyuan.tencent.com target="_blank"><img src=https://img.shields.io/badge/Hunyuan3D-black.svg?logo=homepage height=22px></a>
<a href=https://huggingface.co/... | [] |
inclusionAI/MingTok-Audio | inclusionAI | 2025-10-04T08:09:11Z | 1,750 | 26 | null | [
"safetensors",
"license:apache-2.0",
"region:us"
] | null | 2025-09-29T06:19:07Z | <p align="center">📑 <a href="">Technical Report</a>｜📖<a href="https://xqacmer.github.io/Ming-Unitok-Audio.github.io">Project Page</a> ｜🤗 <a href="https://huggingface.co/inclusionAI/MingTok-Audio">Hugging Face</a>｜ 🤖 <a href="https://modelscope.cn/models/inclusionAI/MingTok-Audio">ModelScope</a>
## Key Features
- �... | [] |
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