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 |
|---|---|---|---|---|---|---|---|---|---|---|
Eubiota/eubiota-planner-8b | Eubiota | 2026-03-03T19:37:03Z | 414 | 1 | transformers | [
"transformers",
"pytorch",
"qwen3",
"text-generation",
"microbiome",
"agentic-ai",
"scientific-reasoning",
"tool-use",
"multi-agent",
"reinforcement-learning",
"GRPO",
"conversational",
"en",
"dataset:Eubiota/microbio-bench",
"dataset:qiaojin/PubMedQA",
"dataset:GBaker/MedQA-USMLE-4-op... | text-generation | 2026-01-07T20:27:35Z | <div style="display: flex; align-items: center; justify-content: center; gap: 8px;">
<a href="https://eubiota.ai/">
<img src="https://huggingface.co/datasets/Eubiota/microbio-bench/resolve/main/logo_transparent.png" alt="Eubiota Logo" style="height: 84px; width: auto;">
</a>
</div>
<div align="center">
<a hr... | [] |
GAIR/daVinci-MagiHuman | GAIR | 2026-03-25T14:00:27Z | 150 | 140 | null | [
"safetensors",
"text-to-video",
"image-text-to-video",
"text-to-audio",
"text-to-audio-video",
"image-to-audio-video",
"image-text-to-audio-video",
"multimodal",
"image-to-video",
"en",
"zh",
"ja",
"ko",
"de",
"fr",
"yue",
"arxiv:2603.21986",
"license:apache-2.0",
"region:us"
] | image-to-video | 2026-03-21T15:34:47Z | <div align="center">
# daVinci-MagiHuman
### Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model
This repository contains the weights for **daVinci-MagiHuman**, introduced in the [paper](https://huggingface.co/papers/2603.21986).
<p align="center Visitor">
<a href="h... | [] |
allenai/SERA-32B | allenai | 2026-02-02T07:59:05Z | 1,247 | 110 | null | [
"safetensors",
"qwen3",
"arxiv:2601.20789",
"license:apache-2.0",
"region:us"
] | null | 2026-01-27T05:29:32Z | # SERA-32B
**SERA-32B** is the first model in Ai2's [Open Coding Agents](https://huggingface.co/collections/allenai/open-coding-agents) series. It is a state-of-the-art open-source coding agent that achieves **49.5%** on SWE-bench Verified, matching the performance of frontier open models like Devstral-Small-2 (24B) a... | [] |
mistral-community/Mixtral-8x22B-v0.1 | mistral-community | 2024-07-01T08:55:22Z | 117 | 671 | transformers | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"fr",
"it",
"de",
"es",
"en",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-04-10T08:43:36Z | # Mixtral-8x22B
> [!WARNING]
> This model checkpoint is provided as-is and might not be up-to-date. Please use the corresponding version from https://huggingface.co/mistralai org
> [!TIP]
> MistralAI has uploaded weights to their organization at [mistralai/Mixtral-8x22B-v0.1](https://huggingface.co/mistralai/Mixtral-... | [] |
NO8D/ImagingControl | NO8D | 2026-04-30T11:12:46Z | 1,123 | 9 | diffusers | [
"diffusers",
"text-to-image",
"template:diffusion-lora",
"slider",
"LoRA",
"base_model:black-forest-labs/FLUX.2-klein-9B",
"base_model:finetune:black-forest-labs/FLUX.2-klein-9B",
"license:other",
"region:us"
] | text-to-image | 2026-03-04T13:23:29Z | # Slider-toolkit-Klein9B
<Gallery />
## Model description
Model description
🤖Slider-toolkit : A set of Slider-LORA trained for Klein4B, which enhances the controllability of text-to-image generation. If you are looking for a fast and controllable text-to-image generation method, don't miss it.
### quality: th... | [] |
marksverdhei/LCO-Embedding-Omni-3B-GGUF | marksverdhei | 2026-03-04T09:34:14Z | 1,013 | 3 | llama.cpp | [
"llama.cpp",
"gguf",
"embedding",
"multimodal",
"qwen2",
"qwen2.5-omni",
"feature-extraction",
"text-embedding",
"image-embedding",
"audio-embedding",
"imatrix",
"en",
"zh",
"multilingual",
"dataset:MIEB",
"arxiv:2510.11693",
"arxiv:2503.20215",
"base_model:LCO-Embedding/LCO-Embedd... | feature-extraction | 2026-03-04T09:22:37Z | # LCO-Embedding-Omni-3B-GGUF
GGUF quantizations of [LCO-Embedding/LCO-Embedding-Omni-3B](https://huggingface.co/LCO-Embedding/LCO-Embedding-Omni-3B) for use with [llama.cpp](https://github.com/ggml-org/llama.cpp).
Converted using [ht-llama.cpp](https://github.com/heiervang-technologies/ht-llama.cpp), a fork with adde... | [] |
nerijs/pixel-art-xl | nerijs | 2023-11-09T18:45:23Z | 6,837 | 595 | diffusers | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:adapter:stabilityai/stable-diffusion-xl-base-1.0",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | 2023-08-03T19:13:23Z | # Pixel Art XL
## Consider supporting further research on [Patreon](https://www.patreon.com/user?u=29466374) or [Twitter](https://twitter.com/nerijs)
![F1hS489X0AE-PK5.jpeg](https://cdn-up... | [] |
smanjil/German-MedBERT | smanjil | 2022-06-13T16:52:46Z | 1,355 | 23 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"exbert",
"German",
"de",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | <a href="https://huggingface.co/exbert/?model=smanjil/German-MedBERT">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>
# German Medical BERT
This is a fine-tuned model on the Medical domain for the German language and based on German BERT. This model has only been trained to improv... | [
{
"start": 987,
"end": 1002,
"text": "Micro precision",
"label": "evaluation metric",
"score": 0.6868870854377747
},
{
"start": 1016,
"end": 1024,
"text": "f1 score",
"label": "evaluation metric",
"score": 0.8218647837638855
}
] |
janhq/Jan-code-4b | janhq | 2026-03-04T04:57:00Z | 2,193 | 70 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"agent",
"conversational",
"en",
"base_model:janhq/Jan-v3-4B-base-instruct",
"base_model:finetune:janhq/Jan-v3-4B-base-instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-02T03:40:16Z | # Jan-Code-4B: a small code-tuned model
[](https://github.com/janhq/jan)
[](https://opensource.org/licenses/Apache-2.0)
[![Jan App](https://img.shields.io/badge/Powered%20by-Jan... | [] |
mradermacher/Gaperon-1125-8B-SFT-i1-GGUF | mradermacher | 2025-12-04T04:59:01Z | 164 | 1 | transformers | [
"transformers",
"gguf",
"gaperon",
"fr",
"en",
"dataset:allenai/tulu-3-sft-mixture",
"base_model:almanach/Gaperon-1125-8B-SFT",
"base_model:quantized:almanach/Gaperon-1125-8B-SFT",
"license:bigscience-openrail-m",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-03T06:08:57Z | ## 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": 464,
"end": 483,
"text": "Gaperon-1125-8B-SFT",
"label": "benchmark name",
"score": 0.610122799873352
},
{
"start": 620,
"end": 647,
"text": "Gaperon-1125-8B-SFT-i1-GGUF",
"label": "benchmark name",
"score": 0.7525631785392761
},
{
"start": 721,
"en... |
unsloth/Olmo-3-7B-Instruct-GGUF | unsloth | 2025-11-21T05:52:24Z | 4,498 | 9 | null | [
"gguf",
"unsloth",
"en",
"base_model:allenai/Olmo-3-7B-Instruct",
"base_model:quantized:allenai/Olmo-3-7B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-21T05:20:27Z | <div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
<div style="display: flex; gap: 5px; align-items: center; ">
<a href="https://github.com/u... | [] |
microsoft/GRIN-MoE | microsoft | 2025-12-10T23:27:39Z | 4,475 | 200 | transformers | [
"transformers",
"safetensors",
"grinmoe",
"nlp",
"code",
"text-generation",
"conversational",
"custom_code",
"en",
"arxiv:2409.12136",
"arxiv:2404.14219",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-09-10T20:47:51Z | <h1 align="center"> 😁 MoE</h1>
<h4 align="center">GRIN: <em>GR</em>adient-<em>IN</em>formed MoE</h4>
<p align="center">
<a href="https://huggingface.co/microsoft/GRIN-MoE">Hugging Face</a>  |   <a href="https://arxiv.org/abs/2409.12136">Tech Report</a>  |   <a href="https://huggingface.co/micro... | [] |
depth-anything/Depth-Anything-V2-Metric-Indoor-Large-hf | depth-anything | 2024-08-27T14:05:47Z | 13,490 | 16 | transformers | [
"transformers",
"safetensors",
"depth_anything",
"depth-estimation",
"depth",
"absolute depth",
"arxiv:2406.09414",
"arxiv:2401.10891",
"endpoints_compatible",
"region:us"
] | depth-estimation | 2024-07-26T16:42:11Z | # Depth Anything V2 (Fine-tuned for Metric Depth Estimation) - Transformers Version
This model represents a fine-tuned version of [Depth Anything V2](https://huggingface.co/depth-anything/Depth-Anything-V2-Large-hf) for indoor metric depth estimation using the synthetic Hypersim datasets.
The model checkpoint is comp... | [] |
prithivMLmods/Delorme_1-OCR-7B-Post1.0-GGUF | prithivMLmods | 2026-01-26T12:02:24Z | 181 | 2 | transformers | [
"transformers",
"gguf",
"qwen2_5_vl",
"text-generation-inference",
"v1.0",
"agent",
"image-text-to-text",
"en",
"base_model:prithivMLmods/Delorme_1-OCR-7B-Post1.0",
"base_model:quantized:prithivMLmods/Delorme_1-OCR-7B-Post1.0",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"co... | image-text-to-text | 2026-01-15T07:57:20Z | # **Delorme_1-OCR-7B-Post1.0-GGUF**
> The Delorme_1-OCR-7B-Post1.0 model is a refined and optimized version of Gliese-OCR-7B-Post1.0, built upon the Qwen2.5-VL architecture. It represents the final iteration in the OCR series, offering enhanced efficiency, precision, and visualization capabilities for document OCR, vi... | [] |
lmstudio-community/gemma-4-26B-A4B-it-GGUF | lmstudio-community | 2026-04-13T15:06:08Z | 851,193 | 19 | null | [
"gguf",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:quantized:google/gemma-4-26B-A4B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-02T13:19:12Z | ## 💫 Community Model> gemma-4-26B-A4B-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>
**Orig... | [] |
mradermacher/Qwen3.5-9B_Homebrew-GGUF | mradermacher | 2026-03-16T16:19:12Z | 773 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Nitral-Archive/Qwen3.5-9B_Homebrew",
"base_model:quantized:Nitral-Archive/Qwen3.5-9B_Homebrew",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-16T14:12:13Z | ## 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... | [] |
sensenova/SenseNova-SI-1.1-BAGEL-7B-MoT | sensenova | 2026-01-13T08:20:34Z | 716 | 3 | transformers | [
"transformers",
"safetensors",
"bagel",
"text-generation",
"image-text-to-text",
"conversational",
"custom_code",
"arxiv:2511.13719",
"base_model:ByteDance-Seed/BAGEL-7B-MoT",
"base_model:finetune:ByteDance-Seed/BAGEL-7B-MoT",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2025-12-24T02:43:02Z | **EN** | [中文](README_CN.md)
# SenseNova-SI: Scaling Spatial Intelligence with Multimodal Foundation Models
<a href="https://github.com/OpenSenseNova/SenseNova-SI" target="_blank">
<img alt="Code" src="https://img.shields.io/badge/SenseNova_SI-Code-100000?style=flat-square&logo=github&logoColor=white" height="20"... | [
{
"start": 32,
"end": 44,
"text": "SenseNova-SI",
"label": "benchmark name",
"score": 0.6520037055015564
},
{
"start": 152,
"end": 164,
"text": "SenseNova-SI",
"label": "benchmark name",
"score": 0.6949551105499268
},
{
"start": 1223,
"end": 1226,
"text": ... |
MaxedOut/ComfyUI-Starter-Packs | MaxedOut | 2026-02-27T09:26:36Z | 6,178 | 190 | null | [
"gguf",
"wan 2.2",
"text to image",
"upscale",
"inpainting",
"controlnet",
"depth",
"canny",
"redux",
"comfyui",
"flux",
"krea",
"sdxl",
"kontext",
"nunchuka",
"text-to-image",
"en",
"license:other",
"endpoints_compatible",
"region:us"
] | text-to-image | 2025-04-12T18:18:35Z | ---
# 📦 ComfyUI-Starter-Packs
> A curated vault of essential models for ComfyUI users.
---
## 🧐 What’s Inside
<details> <summary>Flux1</summary>
├── Flux1
│ ├── Controlnets
│ │ ├── flux_shakker_labs_union_pro-fp8.safetensors
│ ├── LoRas
│ │ ├── navi_flux_v1.safetensors
│ ... | [] |
diffusers/controlnet-canny-sdxl-1.0 | diffusers | 2023-09-19T15:25:43Z | 19,990 | 529 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"base_model:runwayml/stable-diffusion-v1-5",
"base_model:finetune:runwayml/stable-diffusion-v1-5",
"license:openrail++",
"region:us"
] | text-to-image | 2023-08-01T04:34:46Z | # SDXL-controlnet: Canny
These are controlnet weights trained on [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) with canny conditioning. You can find some example images in the following.
prompt: a couple watching a romantic sunset, 4k photo
![images_0)](.... | [] |
Synthyra/Profluent-E1-300M | Synthyra | 2026-04-09T19:43:27Z | 3,480 | 1 | transformers | [
"transformers",
"safetensors",
"E1",
"fill-mask",
"custom_code",
"arxiv:2412.05496",
"region:us"
] | fill-mask | 2025-11-14T21:43:28Z | # NOTE
The GitHub with the implementation and requirements.txt can be found [here](https://github.com/Synthyra/FastPLMs.git)
# Profluent-E1
[Synthyra's version of Profluent-E1](https://github.com/Synthyra/Profluent-E1-300M) is a faithful implementation of Profluent's [E1](https://www.profluent.bio/showcase/e1) mod... | [] |
nightmedia/Qwen3.6-27B-Text-mxfp4-mlx | nightmedia | 2026-04-27T12:05:40Z | 1,207 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"mxfp4",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3.6-27B",
"base_model:quantized:Qwen/Qwen3.6-27B",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2026-04-22T14:45:14Z | # Qwen3.6-27B-Text-mxfp4-mlx
Brainwaves
```brainwaves
arc arc/e boolq hswag obkqa piqa wino
mxfp8 0.647,0.803,0.910,0.773,0.450,0.806,0.742
qx86-hi 0.637,0.798,0.911,0.775,0.442,0.807,0.737
mxfp4 ...coming soon
Quant Perplexity Peak Memory Tokens/sec
mxfp8 5.265 ± 0.041 34.74 GB ... | [] |
eastlondoner/wasm-interpreter-transformer | eastlondoner | 2026-04-05T19:16:13Z | 276 | 6 | transformers | [
"transformers",
"safetensors",
"wasm-interpreter-transformer",
"wasm",
"interpreter",
"hand-compiled",
"bytecode-execution",
"mechanistic",
"not-trained",
"sum-attention",
"cross-attention",
"filesystem",
"loops",
"control-flow",
"text-generation",
"custom_code",
"en",
"license:mit... | text-generation | 2026-03-12T18:27:54Z | # WASM Interpreter Transformer
A **hand-compiled** transformer that executes WebAssembly bytecode via real forward passes.
Every weight was set by a compiler — **not by gradient descent**. No training data, no loss function, no optimizer. Just linear algebra.
## What This Is
This is a complete WASM bytecode interpre... | [] |
mradermacher/granite-3.2-8b-instruct-abliterated-GGUF | mradermacher | 2025-07-31T09:53:51Z | 105 | 3 | transformers | [
"transformers",
"gguf",
"language",
"granite-3.2",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/granite-3.2-8b-instruct-abliterated",
"base_model:quantized:huihui-ai/granite-3.2-8b-instruct-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
... | null | 2025-03-04T23:09:53Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/huihui-ai/granite-3.2-8b-instruct-abliterated
<!-- provided-files -->
***For a convenient overview and download list, v... | [] |
mradermacher/DeepSeek-R1-Distill-Qwen-0.5B-CoMa-GGUF | mradermacher | 2025-03-25T04:32:48Z | 191 | 3 | transformers | [
"transformers",
"gguf",
"reasoning",
"axolotl",
"r1",
"en",
"dataset:ServiceNow-AI/R1-Distill-SFT",
"base_model:AquaLabs/DeepSeek-R1-Distill-Qwen-0.5B-CoMa",
"base_model:quantized:AquaLabs/DeepSeek-R1-Distill-Qwen-0.5B-CoMa",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conver... | null | 2025-03-16T22:14:56Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/AquaLabs/DeepSeek-R1-Distill-Qwen-0.5B-CoMa
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by... | [] |
rankyx/ModernBERT-QnA-base-squad | rankyx | 2025-02-08T07:06:02Z | 311 | 7 | transformers | [
"transformers",
"safetensors",
"modernbert",
"question-answering",
"extractive-qa",
"squad",
"en",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | question-answering | 2025-01-08T12:50:06Z | # ModernBERT-QnA-base-squad 🚀
Welcome to the **ModernBERT-QnA-base-squad** repository! This repository hosts the fine-tuned **ModernBERT** model for Question Answering tasks. The model achieves impressive performance on the SQuAD dataset, making it an excellent choice for extractive question-answering applications.
... | [
{
"start": 594,
"end": 602,
"text": "F1 Score",
"label": "benchmark name",
"score": 0.697814404964447
}
] |
wikeeyang/Real-Qwen-Image-V2 | wikeeyang | 2026-01-18T09:08:31Z | 718 | 33 | diffusers | [
"diffusers",
"gguf",
"text-to-image",
"en",
"zh",
"base_model:Qwen/Qwen-Image-2512",
"base_model:finetune:Qwen/Qwen-Image-2512",
"license:apache-2.0",
"region:us"
] | text-to-image | 2026-01-17T23:18:11Z | ## Real-Qwen-Image-V2(2512)
本模型为 Qwen-Image-2512 的微调模型，比官方模型具有更好的锐度和真实感，以及对亚洲人脸美学进行了优化。具体效果参见如下示例图片，本模型易于使用、参数适配性和LoRA兼容性良好，文字和出图品质俱佳，真正的开源生产力工具。
This model is a fine-tuned version of Qwen-Image-2512, have better sharpness and realism than the official model, and it has been optimized for the aesthetics of Asian face... | [] |
SerialKicked/Qwen3-VL-32B-Thinking-heretic-GGUF | SerialKicked | 2025-11-28T20:23:27Z | 156 | 11 | transformers | [
"transformers",
"gguf",
"heretic",
"qwen3",
"abliterated",
"image-text-to-text",
"en",
"base_model:coder3101/Qwen3-VL-32B-Thinking-heretic",
"base_model:quantized:coder3101/Qwen3-VL-32B-Thinking-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-11-26T17:21:36Z | Quantized versions of [coder3101/Qwen3-VL-32B-Thinking-heretic](https://huggingface.co/coder3101/Qwen3-VL-32B-Thinking-heretic). This is a new [abliteration method](https://github.com/p-e-w/heretic) that doesn't seem to be as damaging to the base model as the previous methods were. I haven't fully tested it yet, but th... | [
{
"start": 705,
"end": 711,
"text": "IQ4_XS",
"label": "benchmark name",
"score": 0.6026400327682495
}
] |
chromadb/context-1 | chromadb | 2026-03-30T01:02:07Z | 1,089 | 242 | transformers | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"conversational",
"base_model:openai/gpt-oss-20b",
"base_model:finetune:openai/gpt-oss-20b",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-12T05:00:08Z | # Chroma Context-1
Context-1 is a 20B parameter agentic search model trained
to retrieve supporting documents for complex, multi-hop
queries. It is designed to be used as a retrieval subagent
alongside a frontier reasoning model: given a query,
Context-1 decomposes it into subqueries, iteratively
searches a corpus, an... | [
{
"start": 1421,
"end": 1436,
"text": "BrowseComp-Plus",
"label": "benchmark name",
"score": 0.8582201600074768
},
{
"start": 1438,
"end": 1444,
"text": "SealQA",
"label": "benchmark name",
"score": 0.8352165222167969
},
{
"start": 1446,
"end": 1452,
"text... |
DavidAU/Mistral-Small-3.1-24B-Instruct-2503-MAX-NEO-Imatrix-GGUF | DavidAU | 2026-04-28T05:04:50Z | 1,154 | 38 | null | [
"gguf",
"Mistral",
"Mistral 2503",
"instruct",
"128k context",
"all use cases",
"maxed quants",
"Neo Imatrix",
"text-generation",
"en",
"fr",
"de",
"es",
"pt",
"it",
"ja",
"ko",
"ru",
"zh",
"ar",
"fa",
"id",
"ms",
"ne",
"pl",
"ro",
"sr",
"sv",
"tr",
"uk",
... | text-generation | 2025-03-18T04:17:05Z | <h2>Mistral-Small-3.1-24B-Instruct-2503-MAX-NEO-Imatrix-GGUF</h2>
<img src="mistral-2503.jpg" style="float:right; width:300px; height:300px; padding:5px;">
Mistralai's newest "Mistral-Small-3.1-24B-Instruct-2503" model with "Neo Imatrix" and "Maxed out" quantization to improve overall performance.
Like almost all of... | [
{
"start": 178,
"end": 193,
"text": "Mistral-Small-3",
"label": "benchmark name",
"score": 0.6150121092796326
},
{
"start": 666,
"end": 670,
"text": "BF16",
"label": "evaluation metric",
"score": 0.7171685099601746
},
{
"start": 1252,
"end": 1255,
"text": ... |
nvidia/gliner-PII | nvidia | 2025-12-07T21:51:24Z | 10,649 | 87 | gliner | [
"gliner",
"pytorch",
"nvidia",
"PII",
"PHI",
"GLiNER",
"information extraction",
"entity recognition",
"privacy",
"token-classification",
"en",
"license:other",
"region:us"
] | token-classification | 2025-08-29T17:49:17Z | # GLiNER-PII Model Overview
### Description:
GLiNER-PII is inspired by the Gretel GLiNER PII/PHI models. Built on the GLiNER large-v2.1 base, it detects and classifies a broad range of Personally Identifiable Information (PII) and Protected Health Information (PHI) in structured and unstructured text. It is non-genera... | [
{
"start": 373,
"end": 390,
"text": "confidence scores",
"label": "evaluation metric",
"score": 0.6773378252983093
}
] |
vibhansh/Veda-8B-v1-Cognitive | vibhansh | 2026-04-01T10:54:28Z | 234 | 1 | null | [
"gguf",
"llama",
"coding",
"reasoning",
"logic",
"text-generation",
"en",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:quantized:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-01-22T11:43:38Z | <div align="center">
# 💠 VEDA-8B-v1-COGNITIVE
### *Fine-tuned to think. Not just predict.*
![]... | [] |
mradermacher/Skyfall-31B-v4.1-Heretic-v1.2-i1-GGUF | mradermacher | 2026-03-11T02:57:20Z | 9,609 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"mpoa",
"en",
"base_model:grayarea/Skyfall-31B-v4.1-Heretic-v1.2",
"base_model:quantized:grayarea/Skyfall-31B-v4.1-Heretic-v1.2",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-09T15:36:08Z | ## 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_... | [] |
bartowski/Qwen_Qwen3-VL-32B-Thinking-GGUF | bartowski | 2025-10-30T23:05:46Z | 603 | 1 | null | [
"gguf",
"image-text-to-text",
"base_model:Qwen/Qwen3-VL-32B-Thinking",
"base_model:quantized:Qwen/Qwen3-VL-32B-Thinking",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | image-text-to-text | 2025-10-30T18:39:21Z | ## Llamacpp imatrix Quantizations of Qwen3-VL-32B-Thinking by Qwen
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/b6888">b6888</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen3-VL-32B-Thinking
All quants m... | [] |
BAAI/Emu3-VisionTokenizer | BAAI | 2024-10-08T03:49:53Z | 7,857 | 63 | transformers | [
"transformers",
"safetensors",
"Emu3VisionVQ",
"feature-extraction",
"custom_code",
"arxiv:2409.18869",
"license:apache-2.0",
"region:us"
] | feature-extraction | 2024-09-25T11:05:17Z | <div align='center'>
<h1>Emu3: Next-Token Prediction is All You Need</h1h1>
<h3></h3>
[Emu3 Team, BAAI](https://www.baai.ac.cn/english.html)
| [Project Page](https://emu.baai.ac.cn) | [Paper](https://huggingface.co/papers/2409.18869) | [🤗HF Models](https://huggingface.co/collections/BAAI/emu3-66f4e64f70850ff358a2e60... | [] |
cybermotaz/nemotron3-nano-nvfp4-w4a16 | cybermotaz | 2025-12-18T07:41:04Z | 15,569 | 14 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"nvidia",
"nemotron",
"nvfp4",
"quantized",
"blackwell",
"sm121",
"dgx-spark",
"elk-ai",
"vllm",
"cuda13",
"fp4",
"awq",
"mamba",
"moe",
"conversational",
"custom_code",
"en",
"base_model:nvidia/NVIDIA-Nemotron... | text-generation | 2025-12-18T07:03:41Z | # Nemotron 3 Nano 30B - NVFP4 W4A16 Quantized
<div align="center">
**By Mutaz Al Awamleh | [ELK-AI](https://elkai.ai)**
[](https://elkai.ai)
[](https://developer.nvidia.com/cuda-toolkit)
[![Blackwe... | [] |
pixelparty/pixel-party-xl | pixelparty | 2023-08-09T00:35:28Z | 158 | 37 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"stable-diffusion",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:finetune:stabilityai/stable-diffusion-xl-base-1.0",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | 2023-08-08T21:57:15Z | # Pixel Party XL
This is a full model training for better pixel art adherence based on SDXL. Feel free to use this model for your own projects, but please do not host it.
We are building on tools for indie game development and currently have tools for:
- Map tiles
- Movement animati... | [] |
robotics-diffusion-transformer/RVQActionTokenizer | robotics-diffusion-transformer | 2026-02-07T05:16:18Z | 460 | 3 | null | [
"safetensors",
"RDT",
"rdt",
"tokenizer",
"action",
"discrete",
"vector-quantization",
"RDT 2",
"robotics",
"arxiv:2602.03310",
"license:apache-2.0",
"region:us"
] | robotics | 2025-09-22T02:39:52Z | # RVQ-AT: Residual VQ Action Tokenizer for RDT 2
**RVQ-AT** is a fast, compact **Residual Vector-Quantization** (RVQ) tokenizer for robot action streams.
It converts continuous control trajectories into short sequences of **discrete action tokens** that plug directly into autoregressive VLA models.
Unlike single-code... | [
{
"start": 475,
"end": 484,
"text": "recon MSE",
"label": "evaluation metric",
"score": 0.6053507328033447
},
{
"start": 598,
"end": 601,
"text": "EMA",
"label": "evaluation metric",
"score": 0.6219969391822815
}
] |
inclusionAI/LLaDA2.1-flash | inclusionAI | 2026-04-13T11:45:54Z | 188,038 | 82 | transformers | [
"transformers",
"safetensors",
"llada2_moe",
"text-generation",
"dllm",
"diffusion",
"llm",
"text_generation",
"conversational",
"custom_code",
"arxiv:2602.08676",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-09T10:47:26Z | # LLaDA2.1-flash
🚀 **LLaDA2.1-flash** is now live on **ZenmuxAI**! Try it via API 🛠️ or Chat 💬: https://zenmux.ai/inclusionai/llada2.1-flash
**LLaDA2.1-flash** is a diffusion language model of the LLaDA series featuring the editing enhancement. It significantly improves inference speed while delivering strong task... | [
{
"start": 2,
"end": 16,
"text": "LLaDA2.1-flash",
"label": "benchmark name",
"score": 0.6852412819862366
},
{
"start": 22,
"end": 36,
"text": "LLaDA2.1-flash",
"label": "benchmark name",
"score": 0.7594407200813293
},
{
"start": 145,
"end": 159,
"text": "... |
Badri0510/thedal-tamil-full-v11 | Badri0510 | 2026-03-19T07:06:13Z | 347 | 1 | transformers | [
"transformers",
"onnx",
"safetensors",
"whisper",
"automatic-speech-recognition",
"tamil",
"english",
"on-device",
"android",
"thedal",
"edge-ai",
"base_model:Badri0510/thedal-tamil-full-v9",
"base_model:quantized:Badri0510/thedal-tamil-full-v9",
"license:apache-2.0",
"endpoints_compatib... | automatic-speech-recognition | 2026-03-16T15:38:58Z | # Thedal Transcript(TT): Bilingual Tamil-English Whisper (V11)
**Thedal (தேடல்) transcript** is an optimized, privacy-focused bilingual speech-to-text engine developed for on-device search applications.
Version 11 is the result of a rigorous **8-stage fine-tuning process**, specifically architected for deployment on... | [] |
bartowski/Falcon3-10B-Instruct-abliterated-GGUF | bartowski | 2024-12-30T03:53:15Z | 1,545 | 5 | null | [
"gguf",
"falcon3",
"abliterated",
"uncensored",
"text-generation",
"en",
"fr",
"es",
"pt",
"license:other",
"region:us"
] | text-generation | 2024-12-26T17:57:36Z | ## Llamacpp imatrix Quantizations of Falcon3-10B-Instruct-abliterated
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4381">b4381</a> for quantization.
Original model: https://huggingface.co/huihui-ai/Falcon3-10B-Instruct-abli... | [] |
bartowski/Qwen2.5-1.5B-Instruct-GGUF | bartowski | 2024-09-19T17:48:04Z | 15,389 | 12 | null | [
"gguf",
"chat",
"text-generation",
"en",
"base_model:Qwen/Qwen2.5-1.5B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-1.5B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-09-17T19:30:25Z | ## Llamacpp imatrix Quantizations of Qwen2.5-1.5B-Instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3772">b3772</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct
All quants made us... | [] |
taobao-mnn/Qwen3-4B-Thinking-2507-Eagle | taobao-mnn | 2025-11-10T03:37:22Z | 132 | 1 | null | [
"safetensors",
"llama",
"speculative-decoding",
"eagle",
"qwen",
"text-generation",
"zh",
"en",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-11-10T03:37:06Z | <!-- 语言切换 / Language Toggle -->
<div align="center">
<a href="#-en">English</a> | <a href="#-zh-cn">中文</a>
</div>
<!-- 英文版 README -->
<div id="-en">
# EAGLE-3 Draft Model for Qwen3-4B-Thinking-2507
## Model Overview
This repository contains an **EAGLE-3 style draft model** specifically trained to accelerate the inf... | [
{
"start": 153,
"end": 160,
"text": "EAGLE-3",
"label": "benchmark name",
"score": 0.6560447216033936
},
{
"start": 250,
"end": 257,
"text": "EAGLE-3",
"label": "benchmark name",
"score": 0.7292819023132324
},
{
"start": 335,
"end": 357,
"text": "Qwen3-4B-... |
cyburn/restore_photo_v4.1-lora | cyburn | 2025-09-26T15:34:32Z | 223 | 3 | diffusers | [
"diffusers",
"image-to-image",
"flux",
"lora",
"template:sd-lora",
"ai-toolkit",
"base_model:black-forest-labs/FLUX.1-Kontext-dev",
"base_model:adapter:black-forest-labs/FLUX.1-Kontext-dev",
"license:creativeml-openrail-m",
"region:us"
] | image-to-image | 2025-09-23T05:41:01Z | # restore_photo_v4.1-lora
This LoRA model is designed for photo restoration and colorization tasks, fine-tuned on the FLUX.1-dev base model. It excels at enhancing old or damaged photos, making them photorealistic while preserving original details.
Trained using the [AI Toolkit by Ostris](https://github.com/ostris/ai... | [] |
nyu-visionx/Cambrian-S-7B | nyu-visionx | 2025-11-07T03:32:22Z | 3,239 | 5 | transformers | [
"transformers",
"safetensors",
"cambrian_qwen",
"text-generation",
"multimodal",
"video-understanding",
"spatial-reasoning",
"vision-language",
"image-to-text",
"en",
"dataset:nyu-visionx/VSI-590K",
"arxiv:2511.04670",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.... | image-to-text | 2025-11-04T02:53:17Z | # Cambrian-S-7B
**[Website](https://cambrian-mllm.github.io/cambrian-s/)** | **[Paper](https://arxiv.org/abs/2511.04670)** | **[GitHub](https://github.com/cambrian-mllm/cambrian-s)** | **[Cambrian-S Family](https://huggingface.co/collections/nyu-visionx/cambrian-s-models)**
**Authors**: [Shusheng Yang*](https://githu... | [
{
"start": 2,
"end": 15,
"text": "Cambrian-S-7B",
"label": "benchmark name",
"score": 0.7802888751029968
},
{
"start": 486,
"end": 499,
"text": "Cambrian-S-7B",
"label": "benchmark name",
"score": 0.7472754716873169
},
{
"start": 1398,
"end": 1411,
"text":... |
mradermacher/Discord-Micae-Hermes-3-3B-abliterated-i1-GGUF | mradermacher | 2025-12-25T19:15:58Z | 533 | 2 | transformers | [
"transformers",
"gguf",
"causal-lm",
"text-generation",
"instruct",
"chat",
"fine-tuned",
"merged-lora",
"llama-3",
"hermes",
"discord-dataset",
"conversational-ai",
"chatml",
"pytorch",
"open-weights",
"3b-parameters",
"abliterated",
"en",
"dataset:mookiezi/Discord-OpenMicae",
... | text-generation | 2025-08-31T22:36:26Z | ## 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... | [] |
vectara/hallucination_evaluation_model | vectara | 2025-10-20T19:34:40Z | 82,893 | 349 | transformers | [
"transformers",
"safetensors",
"HHEMv2Config",
"text-classification",
"custom_code",
"en",
"arxiv:2205.12854",
"arxiv:2401.00396",
"arxiv:2303.15621",
"base_model:google/flan-t5-base",
"base_model:finetune:google/flan-t5-base",
"doi:10.57967/hf/3240",
"license:apache-2.0",
"region:us"
] | text-classification | 2023-10-25T19:03:42Z | <img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=5f53f560-5ba6-4e73-917b-c7049e9aea2c" />
<img src="https://huggingface.co/vectara/hallucination_evaluation_model/resolve/main/candle.png" width="50" height="50" style="display: inline;"> In Loving memory of Simon Mark Hughes...... | [] |
dealignai/Gemma-4-31B-JANG_4M-CRACK | dealignai | 2026-04-25T21:33:07Z | 180,173 | 1,356 | mlx | [
"mlx",
"safetensors",
"gemma4",
"abliterated",
"uncensored",
"crack",
"jang",
"image-text-to-text",
"conversational",
"license:gemma",
"region:us"
] | image-text-to-text | 2026-04-04T03:02:08Z | <p align="center">
<img src="vmlx-banner.png" alt="vMLX" width="600"/>
</p>
<p align="center">
<img src="dealign_logo.png" alt="dealign.ai" width="200"/>
</p>
<div align="center">
<img src="dealign_mascot.png" width="128" />
# Gemma 4 31B JANG_4M CRACK (v2)
**Abliterated Gemma 4 31B Dense — 60 layers, hybrid sl... | [
{
"start": 367,
"end": 376,
"text": "HarmBench",
"label": "benchmark name",
"score": 0.7453656792640686
},
{
"start": 628,
"end": 646,
"text": "repetition penalty",
"label": "evaluation metric",
"score": 0.600795328617096
},
{
"start": 1247,
"end": 1265,
"... |
nvidia/mit-b2 | nvidia | 2022-08-06T10:26:08Z | 23,472 | 6 | transformers | [
"transformers",
"pytorch",
"tf",
"segformer",
"image-classification",
"vision",
"dataset:imagenet_1k",
"arxiv:2105.15203",
"license:other",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-classification | 2022-03-02T23:29:05Z | # SegFormer (b2-sized) encoder pre-trained-only
SegFormer encoder fine-tuned on Imagenet-1k. It was introduced in the paper [SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers](https://arxiv.org/abs/2105.15203) by Xie et al. and first released in [this repository](https://github.com/NVl... | [
{
"start": 670,
"end": 676,
"text": "ADE20K",
"label": "benchmark name",
"score": 0.8903419971466064
},
{
"start": 681,
"end": 691,
"text": "Cityscapes",
"label": "benchmark name",
"score": 0.8158556222915649
},
{
"start": 746,
"end": 757,
"text": "ImageNe... |
ijohn07/Qwen3-Coder-30B-A3B-Instruct-FP8-Q4_K_M-GGUF | ijohn07 | 2026-02-03T17:06:39Z | 18,980 | 3 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"base_model:Qwen/Qwen3-Coder-30B-A3B-Instruct-FP8",
"base_model:quantized:Qwen/Qwen3-Coder-30B-A3B-Instruct-FP8",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-02-03T17:05:16Z | # ijohn07/Qwen3-Coder-30B-A3B-Instruct-FP8-Q4_K_M-GGUF
This model was converted to GGUF format from [`Qwen/Qwen3-Coder-30B-A3B-Instruct-FP8`](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct-FP8) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer t... | [] |
RedHatAI/gemma-3-1b-it-quantized.w8a8 | RedHatAI | 2025-06-06T18:37:43Z | 2,902 | 2 | transformers | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"vllm",
"vision",
"w8a8",
"conversational",
"base_model:google/gemma-3-1b-it",
"base_model:quantized:google/gemma-3-1b-it",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"8-bit",
"compressed-tensors"... | text-generation | 2025-06-05T17:20:25Z | # gemma-3-1b-it-quantized.w8a8
## Model Overview
- **Model Architecture:** google/gemma-3-1b-it
- **Input:** Vision-Text
- **Output:** Text
- **Model Optimizations:**
- **Weight quantization:** INT8
- **Activation quantization:** INT8
- **Release Date:** 6/4/2025
- **Version:** 1.0
- **Model Developers:** RedH... | [] |
mradermacher/Heretical-Qwen3.5-0.8B-GGUF | mradermacher | 2026-03-06T10:51:02Z | 1,715 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:Kewk/Heretical-Qwen3.5-0.8B",
"base_model:quantized:Kewk/Heretical-Qwen3.5-0.8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-05T16:22:43Z | ## 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": 358,
"end": 380,
"text": "Heretical-Qwen3.5-0.8B",
"label": "benchmark name",
"score": 0.6717259883880615
},
{
"start": 517,
"end": 544,
"text": "Heretical-Qwen3.5-0.8B-GGUF",
"label": "benchmark name",
"score": 0.7342493534088135
},
{
"start": 628,
... |
mradermacher/Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2-i1-GGUF | mradermacher | 2026-02-16T19:32:47Z | 1,826 | 1 | transformers | [
"transformers",
"gguf",
"finetune",
"unsloth",
"abliterated",
"uncensored",
"specialized post tuning",
"claude-4.5-opus",
"reasoning",
"thinking",
"distill-fine-tune",
"moe",
"128 experts",
"256k context",
"mixture of experts",
"en",
"dataset:TeichAI/claude-4.5-opus-high-reasoning-25... | null | 2026-02-16T13:42:49Z | ## 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/mistralai-Mistral-Nemo-Instruct-2407-12B-MPOA-v1-i1-GGUF | mradermacher | 2025-12-05T07:31:21Z | 645 | 1 | transformers | [
"transformers",
"gguf",
"en",
"fr",
"de",
"es",
"it",
"pt",
"ru",
"zh",
"ja",
"base_model:grimjim/mistralai-Mistral-Nemo-Instruct-2407-12B-MPOA-v1",
"base_model:quantized:grimjim/mistralai-Mistral-Nemo-Instruct-2407-12B-MPOA-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us... | null | 2025-11-20T02:12:49Z | ## 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_... | [] |
Jzuluaga/accent-id-commonaccent_ecapa | Jzuluaga | 2023-07-22T15:20:24Z | 18,303 | 18 | speechbrain | [
"speechbrain",
"audio-classification",
"embeddings",
"Accent",
"Identification",
"pytorch",
"ECAPA-TDNN",
"TDNN",
"CommonAccent",
"en",
"dataset:CommonVoice",
"arxiv:2305.18283",
"arxiv:2106.04624",
"license:mit",
"region:us"
] | audio-classification | 2023-01-08T08:07:40Z | <iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
<br/><br/>
# Accent Identification from Speech Recordings with ECAPA-TDNN embeddings on CommonAccent
**Abstract**: The ... | [] |
zai-org/CogVideoX-2b | zai-org | 2024-11-23T06:34:46Z | 21,923 | 354 | diffusers | [
"diffusers",
"safetensors",
"cogvideox",
"video-generation",
"thudm",
"text-to-video",
"en",
"arxiv:2408.06072",
"license:apache-2.0",
"diffusers:CogVideoXPipeline",
"region:us"
] | text-to-video | 2024-08-05T14:13:31Z | # CogVideoX-2B
<p style="text-align: center;">
<div align="center">
<img src=https://github.com/THUDM/CogVideo/raw/main/resources/logo.svg width="50%"/>
</div>
<p align="center">
<a href="https://huggingface.co/THUDM/CogVideoX-2b/blob/main/README_zh.md">📄 中文阅读</a> |
<a href="https://huggingface.co/spaces... | [] |
genai-archive/anything-xl | genai-archive | 2025-01-07T10:44:08Z | 104 | 1 | diffusers | [
"diffusers",
"safetensors",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | 2025-01-02T01:34:18Z | Original [CivitAI Link](https://civitai.com/models/9409/or-anything-xl)
## Anything-XL
AnythingXL β 4 is the AnythingXL here. If you download the previous model, there is no need to download it again.
AnythingXLbeta4 is another product encouraged by friends in the group. The premise is the highly developed SDXL model... | [] |
mradermacher/Huihui-K2-Think-abliterated-GGUF | mradermacher | 2025-09-17T02:46:00Z | 206 | 3 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-K2-Think-abliterated",
"base_model:quantized:huihui-ai/Huihui-K2-Think-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-16T13:26:35Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
prism-ml/Ternary-Bonsai-8B-mlx-2bit | prism-ml | 2026-04-18T20:47:46Z | 3,237 | 42 | mlx | [
"mlx",
"safetensors",
"qwen3",
"ternary",
"1.58-bit",
"mlx-swift",
"apple-silicon",
"on-device",
"prismml",
"bonsai",
"text-generation",
"conversational",
"base_model:prism-ml/Ternary-Bonsai-8B-unpacked",
"base_model:finetune:prism-ml/Ternary-Bonsai-8B-unpacked",
"license:apache-2.0",
... | text-generation | 2026-04-13T21:46:09Z | <p align="center">
<img src="./assets/bonsai-logo.svg" width="280" alt="Bonsai">
</p>
<p align="center">
<a href="https://prismml.com"><b>Prism ML Website</b></a> |
<a href="https://github.com/PrismML-Eng/Bonsai-demo/blob/main/ternary-bonsai-8b-whitepaper.pdf"><b>White Paper</b></a> |
<... | [
{
"start": 852,
"end": 873,
"text": "attention projections",
"label": "evaluation metric",
"score": 0.6816446185112
},
{
"start": 875,
"end": 890,
"text": "MLP projections",
"label": "evaluation metric",
"score": 0.710044264793396
},
{
"start": 1066,
"end": 10... |
DeKUT-DSAIL/tunuh-whisper-base-kikuyu-v1 | DeKUT-DSAIL | 2026-04-09T20:58:06Z | 464 | 1 | transformers | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"Kikuyu",
"ASR",
"Tunu-AI",
"Whisper",
"text-to-speech",
"ki",
"dataset:MCAA1-MSU/anv_data_ke",
"base_model:openai/whisper-base",
"base_model:finetune:openai/whisper-base",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2026-03-25T10:55:09Z | ### Model Description
This model is a fine-tuned version of openai/whisper-base for Kikuyu automatic speech recognition (ASR), trained on 100hrs of transcribed Kikuyu speech from MCAA1-MSU/anv_data_ke dataset. The model achieved a Word Error Rate (WER) of 36% and a Character Error Rate (CER) of 10%.
- **Developed ... | [] |
ValkyriaLenneth/longformer_zh | ValkyriaLenneth | 2022-01-06T03:50:20Z | 7,078 | 27 | transformers | [
"transformers",
"pytorch",
"longformer",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2022-03-02T23:29:05Z | # 中文预训练Longformer模型 | Longformer_ZH with PyTorch
相比于Transformer的O(n^2)复杂度，Longformer提供了一种以线性复杂度处理最长4K字符级别文档序列的方法。Longformer Attention包括了标准的自注意力与全局注意力机制，方便模型更好地学习超长序列的信息。
Compared with O(n^2) complexity for Transformer model, Longformer provides an efficient method for processing long-document level sequence in Linea... | [] |
mkurman/Llama-3.2-MedIT-SUN-2.5B-BT-GRPO | mkurman | 2025-02-08T00:45:58Z | 135 | 4 | null | [
"safetensors",
"gguf",
"llama",
"dataset:open-thoughts/OpenThoughts-114k",
"dataset:Jiayi-Pan/Countdown-Tasks-3to4",
"dataset:FreedomIntelligence/medical-o1-verifiable-problem",
"base_model:meditsolutions/Llama-3.2-SUN-2.5B-chat",
"base_model:quantized:meditsolutions/Llama-3.2-SUN-2.5B-chat",
"licen... | null | 2025-02-02T13:59:34Z | # mkurman/Llama-3.2-MedIT-SUN-2.5B-BT-GPRO
**Important Notice:**
This model is provided strictly for research purposes and is not intended for production use. It should not be considered a validated source of medical or professional advice. Use only in controlled experimental settings.
---
## Model Overview
mkurm... | [
{
"start": 1009,
"end": 1027,
"text": "learning rate 1e-6",
"label": "evaluation metric",
"score": 0.6238473057746887
}
] |
bartowski/utter-project_EuroLLM-22B-Instruct-2512-GGUF | bartowski | 2025-12-16T03:20:24Z | 2,061 | 5 | null | [
"gguf",
"text-generation",
"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",
"zh",
"ru",
"ko",
"ja",
"ar",
"hi",
"base... | text-generation | 2025-12-16T01:41:26Z | ## Llamacpp imatrix Quantizations of EuroLLM-22B-Instruct-2512 by utter-project
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/b7406">b7406</a> for quantization.
Original model: https://huggingface.co/utter-project/EuroLLM-22B-I... | [] |
thelamapi/next2.5-i1-GGUF | thelamapi | 2026-03-11T15:00:05Z | 4,413 | 1 | transformers | [
"transformers",
"gguf",
"turkish",
"türkiye",
"reasoning",
"vision-language",
"vlm",
"multimodal",
"lamapi",
"next2.5",
"qwen3.5",
"gemma-3",
"text-generation",
"image-text-to-text",
"open-source",
"4b",
"edge-ai",
"large-language-model",
"llm",
"thinking-mode",
"tr",
"en",... | image-text-to-text | 2026-03-11T14:28:16Z | <div align="center" style="font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;">
<h1 style="color: #6366F1; font-weight: 800; font-size: 2.8em; margin-bottom: 5px; letter-spacing:... | [] |
legendbl/GLM-4.7-Flash-Uncensored-Heretic-NEO-CODE-Imatrix-MAX-GGUF | legendbl | 2026-02-23T09:26:42Z | 1,434 | 1 | null | [
"gguf",
"GLM 4.7 Flash",
"thinking",
"reasoning",
"NEO Imatrix",
"MAX Quants",
"16 bit precision output tensor",
"heretic",
"uncensored",
"abliterated",
"deep reasoning",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"stor... | text-generation | 2026-02-23T09:26:41Z | <h2>GLM-4.7-Flash-Uncensored-Heretic-NEO-CODE-Imatrix-MAX-GGUF</h2>
Specialized and Enhanced UNCENSORED/HERETIC GGUF quants for the new GLM-4.7-Flash, 30B-A3B MOE, mixture of experts model.
[ https://huggingface.co/zai-org/GLM-4.7-Flash ]
This model can be run on the GPU(s) and/or CPU due to 4 experts activated (app... | [
{
"start": 4,
"end": 62,
"text": "GLM-4.7-Flash-Uncensored-Heretic-NEO-CODE-Imatrix-MAX-GGUF",
"label": "benchmark name",
"score": 0.6700142025947571
},
{
"start": 137,
"end": 150,
"text": "GLM-4.7-Flash",
"label": "benchmark name",
"score": 0.844526469707489
},
{
... |
mradermacher/Nyarin-4B-i1-GGUF | mradermacher | 2025-12-15T08:54:23Z | 153 | 2 | transformers | [
"transformers",
"gguf",
"zh",
"en",
"dataset:liumindmind/NekoQA-10K",
"base_model:Kasugan0/Nyarin-4B",
"base_model:quantized:Kasugan0/Nyarin-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-23T23:32:38Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [
{
"start": 609,
"end": 626,
"text": "Nyarin-4B-i1-GGUF",
"label": "benchmark name",
"score": 0.6006556153297424
},
{
"start": 1175,
"end": 1192,
"text": "Nyarin-4B-i1-GGUF",
"label": "benchmark name",
"score": 0.6020770072937012
}
] |
ZJU-AI4H/Hulu-Med-30A3 | ZJU-AI4H | 2026-02-25T17:36:28Z | 3,527 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3_vl_moe",
"image-text-to-text",
"medical",
"multimodal",
"vision-language-model",
"image-to-text",
"video-understanding",
"3d-understanding",
"qwen",
"pytorch",
"conversational",
"arxiv:2510.08668",
"license:apache-2.0",
"endpoints_compatible",
"r... | image-text-to-text | 2026-02-25T14:24:02Z | <div style="display: flex; align-items: center; justify-content: center;">
<h1 style="margin: 0; text-align: left;">
Hulu-Med: A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding
</h1>
</div>
<div align="center">
[](https:/... | [] |
peteromallet/Qwen-Image-Edit-InStyle | peteromallet | 2025-11-01T05:52:01Z | 2,578 | 93 | diffusers | [
"diffusers",
"image",
"editing",
"lora",
"style-transfer",
"qwen",
"image-to-image",
"dataset:peteromallet/high-quality-midjouney-srefs",
"base_model:Qwen/Qwen-Image-Edit",
"base_model:adapter:Qwen/Qwen-Image-Edit",
"license:apache-2.0",
"region:us"
] | image-to-image | 2025-08-29T16:43:49Z | # QwenEdit InStyle LoRA
## Model Description
**QwenEdit InStyle** is a LoRA fine-tune for QwenEdit that significantly improves its ability to generate images based on a style reference. While the base model has style transfer capabilities, it often misses the nuances of styles and can transplant unwanted details from... | [] |
QuantFactory/NeuralDaredevil-8B-abliterated-GGUF | QuantFactory | 2024-05-29T17:08:02Z | 4,441 | 90 | null | [
"gguf",
"dpo",
"text-generation",
"dataset:mlabonne/orpo-dpo-mix-40k",
"base_model:mlabonne/NeuralDaredevil-8B-abliterated",
"base_model:quantized:mlabonne/NeuralDaredevil-8B-abliterated",
"license:other",
"model-index",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-05-29T16:26:23Z | # NeuralDaredevil-8B-abliterated-GGUF
This is quantized version of [mlabonne/NeuralDaredevil-8B-abliterated](https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated) created using llama.cpp
# Model Description
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/gFEhcIDS... | [
{
"start": 1086,
"end": 1096,
"text": "MMLU score",
"label": "evaluation metric",
"score": 0.7789368629455566
}
] |
reaperdoesntknow/Symiotic-14B | reaperdoesntknow | 2026-05-04T15:26:07Z | 1,218 | 8 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"symbiotic",
"symbioticai",
"llm",
"Symbols",
"convergentintel",
"conversational",
"en",
"dataset:0xZee/dataset-CoT-Advanced-Calculus-268",
"base_model:Qwen/Qwen3-14B",
"base_model:finetune:Qwen/Qwen3-14B",
"license:afl-3.0",
"... | text-generation | 2025-05-06T21:50:24Z | # SymbioticLM-14B
**Model Type**: Hybrid Symbolic–Transformer with Persistent Memory
**Base Model**: Qwen-14B
**Framework**: PyTorch + HuggingFace Transformers
**Purpose**: Full-scale cognitive reasoning model with self-organizing memory and generative symbolic evolution
---
## Overview
SymbioticLM-14B is a ... | [] |
mradermacher/MediPhi-Instruct-GGUF | mradermacher | 2025-07-12T07:43:23Z | 100 | 1 | transformers | [
"transformers",
"gguf",
"merge",
"mergekit",
"medical",
"clinical",
"en",
"dataset:microsoft/mediflow",
"dataset:ncbi/pubmed",
"dataset:epfl-llm/guidelines",
"dataset:starmpcc/Asclepius-Synthetic-Clinical-Notes",
"dataset:akemiH/NoteChat",
"dataset:zhengyun21/PMC-Patients",
"dataset:jpcorb... | null | 2025-07-12T04:36:37Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/microsoft/MediPhi-Instruct
<!-- provided-files -->
***For a convenient overview and download list, visit our [model pag... | [] |
s-nlp/russian_toxicity_classifier | s-nlp | 2024-10-14T09:39:39Z | 7,729 | 48 | transformers | [
"transformers",
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"toxic comments classification",
"ru",
"base_model:DeepPavlov/rubert-base-cased-conversational",
"base_model:finetune:DeepPavlov/rubert-base-cased-conversational",
"license:openrail++",
"endpoints_compatible",
"de... | text-classification | 2022-03-02T23:29:05Z | Bert-based classifier (finetuned from [Conversational Rubert](https://huggingface.co/DeepPavlov/rubert-base-cased-conversational)) trained on merge of Russian Language Toxic Comments [dataset](https://www.kaggle.com/blackmoon/russian-language-toxic-comments/metadata) collected from 2ch.hk and Toxic Russian Comments [da... | [
{
"start": 586,
"end": 595,
"text": "precision",
"label": "evaluation metric",
"score": 0.6277663707733154
},
{
"start": 607,
"end": 615,
"text": "f1-score",
"label": "evaluation metric",
"score": 0.6608453392982483
}
] |
prithivMLmods/Qwen-Image-Edit-2511-Polaroid-Photo | prithivMLmods | 2026-01-12T06:45:24Z | 13,382 | 10 | diffusers | [
"diffusers",
"lora",
"art",
"polaroid",
"image-to-image",
"en",
"base_model:Qwen/Qwen-Image-Edit-2511",
"base_model:adapter:Qwen/Qwen-Image-Edit-2511",
"doi:10.57967/hf/7489",
"license:apache-2.0",
"region:us"
] | image-to-image | 2026-01-04T12:23:31Z | 
![11](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/--oUgmQsfjC... | [] |
nvidia/NV-Embed-v2 | nvidia | 2025-07-21T17:48:20Z | 56,480 | 507 | transformers | [
"transformers",
"safetensors",
"nvembed",
"feature-extraction",
"mteb",
"sentence-transformers",
"custom_code",
"en",
"arxiv:2405.17428",
"arxiv:2407.15831",
"license:cc-by-nc-4.0",
"model-index",
"region:us"
] | feature-extraction | 2024-08-29T13:00:32Z | ## Introduction
We present NV-Embed-v2, a generalist embedding model that ranks No. 1 on the Massive Text Embedding Benchmark ([MTEB benchmark](https://huggingface.co/spaces/mteb/leaderboard))(as of Aug 30, 2024) with a score of 72.31 across 56 text embedding tasks. It also holds the No. 1 in the retrieval sub-category... | [
{
"start": 93,
"end": 125,
"text": "Massive Text Embedding Benchmark",
"label": "benchmark name",
"score": 0.7525767683982849
},
{
"start": 128,
"end": 132,
"text": "MTEB",
"label": "benchmark name",
"score": 0.7231345176696777
},
{
"start": 789,
"end": 813,
... |
Salesforce/blip2-flan-t5-xl | Salesforce | 2025-02-03T06:36:28Z | 72,484 | 92 | transformers | [
"transformers",
"pytorch",
"safetensors",
"blip-2",
"visual-question-answering",
"vision",
"image-to-text",
"image-captioning",
"image-text-to-text",
"en",
"arxiv:2301.12597",
"arxiv:2210.11416",
"license:mit",
"region:us"
] | image-text-to-text | 2023-02-06T20:28:29Z | # BLIP-2, Flan T5-xl, pre-trained only
BLIP-2 model, leveraging [Flan T5-xl](https://huggingface.co/google/flan-t5-xl) (a large language model).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv.org/abs/2301.12597) by L... | [] |
mradermacher/Qwen3-4B-Element4-Eva-i1-GGUF | mradermacher | 2026-01-14T08:19:48Z | 261 | 1 | transformers | [
"transformers",
"gguf",
"coding",
"research",
"deep thinking",
"1M context",
"256k context",
"Qwen3",
"All use cases",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",... | null | 2026-01-14T07:09:06Z | ## 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_... | [
{
"start": 624,
"end": 653,
"text": "Qwen3-4B-Element4-Eva-i1-GGUF",
"label": "benchmark name",
"score": 0.6668055653572083
},
{
"start": 1214,
"end": 1243,
"text": "Qwen3-4B-Element4-Eva-i1-GGUF",
"label": "benchmark name",
"score": 0.6311982274055481
},
{
"start... |
MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli | MoritzLaurer | 2024-04-11T13:49:10Z | 42,091 | 120 | transformers | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"deberta-v2",
"text-classification",
"zero-shot-classification",
"en",
"dataset:multi_nli",
"dataset:facebook/anli",
"dataset:fever",
"dataset:lingnli",
"dataset:alisawuffles/WANLI",
"arxiv:2104.07179",
"arxiv:2111.09543",
"license:mit"... | zero-shot-classification | 2022-06-06T18:28:10Z | # DeBERTa-v3-large-mnli-fever-anli-ling-wanli
## Model description
This model was fine-tuned on the [MultiNLI](https://huggingface.co/datasets/multi_nli), [Fever-NLI](https://github.com/easonnie/combine-FEVER-NSMN/blob/master/other_resources/nli_fever.md), Adversarial-NLI ([ANLI](https://huggingface.co/datasets/anli)),... | [] |
drbaph/Qwen-Image-Edit-2511-FP8 | drbaph | 2025-12-23T23:32:59Z | 1,124,656 | 13 | diffusers | [
"diffusers",
"comfyui",
"i2i",
"fp8",
"qwen-image-edit-2511",
"quantization",
"image-to-image",
"en",
"zh",
"arxiv:2508.02324",
"license:apache-2.0",
"region:us"
] | image-to-image | 2025-12-23T22:02:55Z | <h1 align="center">💜 FP8-Quantized Qwen-Image-Edit-2511</h1>
<h3 align="center">
This is the fp8_e4m3fn quantized version of <a href="https://huggingface.co/Qwen/Qwen-Image-Edit-2511">Qwen-Image-Edit-2511</a> for lower memory usage and faster inference (compatible with ComfyUI) <br>
approx. 20GB VRAM
</h3>
| Original... | [] |
mradermacher/Huihui-Qwen3.5-4B-abliterated-i1-GGUF | mradermacher | 2026-04-18T13:04:08Z | 2,231 | 4 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-Qwen3.5-4B-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3.5-4B-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-08T06:31:11Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 631,
"end": 668,
"text": "Huihui-Qwen3.5-4B-abliterated-i1-GGUF",
"label": "benchmark name",
"score": 0.6186029314994812
}
] |
LiquidAI/LFM2.5-1.2B-Thinking | LiquidAI | 2026-03-30T13:21:58Z | 29,454 | 320 | transformers | [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"liquid",
"lfm2.5",
"edge",
"conversational",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"arxiv:2511.23404",
"base_model:LiquidAI/LFM2.5-1.2B-Base",
"base_model:finetune:LiquidAI/LFM2.5-1.2B-Base",
"license:other",
... | text-generation | 2026-01-20T13:55:42Z | <div align="center">
<img
src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png"
alt="Liquid AI"
style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
/>
<div style="display: flex; ... | [] |
ReadyArt/Dark-Nexus-24B-v2.0 | ReadyArt | 2025-11-01T23:15:12Z | 104 | 15 | null | [
"safetensors",
"mistral",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"Other License",
"base_model:anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only",
"base_model:finetune:anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only",
"license:other",
"regio... | null | 2025-11-01T23:07:22Z | <style>
:root {
--dark-bg: #0a0505;
--lava-red: #ff3300;
--lava-orange: #ff6600;
--lava-yellow: #ff9900;
--neon-blue: #00ccff;
--neon-purple: #cc00ff;
}
* {
margin: 0;
padding: 0;
box-siz... | [] |
docling-project/docling-models | docling-project | 2025-12-03T10:16:37Z | 899,663 | 200 | transformers | [
"transformers",
"arxiv:2408.09869",
"arxiv:2206.01062",
"doi:10.57967/hf/3036",
"license:cdla-permissive-2.0",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-07-02T12:26:11Z | # Docling Models
This page contains models that power the PDF document converion package [docling](https://github.com/DS4SD/docling).
## Layout Model
The layout model will take an image from a page and apply RT-DETR model in order to find different layout components. It currently detects the labels: Caption, Footnot... | [] |
mradermacher/Gliese-Qwen3.5-4B-Abliterated-Caption-i1-GGUF | mradermacher | 2026-03-12T08:02:18Z | 5,019 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"pytorch",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"refusal-ablated",
"vllm",
"bf16",
"max",
"alignment-modified",
"reasoning",
"en",
"zh",
"base_model:prithivMLmods/Gliese-Qwen3.5-4B-Abliterated-Caption",
"base_... | null | 2026-03-12T07:40:30Z | ## 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": 469,
"end": 506,
"text": "Gliese-Qwen3.5-4B-Abliterated-Caption",
"label": "benchmark name",
"score": 0.6870982646942139
},
{
"start": 643,
"end": 688,
"text": "Gliese-Qwen3.5-4B-Abliterated-Caption-i1-GGUF",
"label": "benchmark name",
"score": 0.77128058671951... |
ByteDance-Seed/Seed-X-Instruct-7B | ByteDance-Seed | 2025-07-28T11:26:52Z | 534 | 129 | null | [
"safetensors",
"mistral",
"translation",
"zh",
"en",
"ar",
"cs",
"de",
"da",
"fi",
"fr",
"hi",
"hu",
"it",
"id",
"ja",
"ko",
"ms",
"nb",
"pt",
"pl",
"ro",
"sv",
"th",
"vi",
"es",
"nl",
"no",
"ru",
"tr",
"uk",
"dataset:facebook/flores",
"arxiv:2507.1361... | translation | 2025-07-16T13:46:09Z | # Seed-X-Instruct-7B
<a href="https://arxiv.org/pdf/2507.13618">
<img src="https://img.shields.io/badge/Seed--X-Report-blue"></a>
<a href="https://huggingface.co/ByteDance-Seed/Seed-X-Instruct-7B">
<img src="https://img.shields.io/badge/Seed--X-Hugging Face-brightgreen"></a>
<a href="https://huggingface.co/spaces/... | [] |
mradermacher/gemma-3-12b-it-vl-GLM-Polaris-V2c-NM-SuperBrain7x-HERETIC-Uncensored-GGUF | mradermacher | 2026-02-24T15:00:45Z | 1,800 | 3 | transformers | [
"transformers",
"gguf",
"uncensored",
"heretic",
"abliterated",
"unsloth",
"finetune",
"All use cases",
"bfloat16",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
... | null | 2026-02-24T13:28:51Z | ## 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/Gemma3-4B-CodeCenturion-i1-GGUF | mradermacher | 2026-02-09T06:34:45Z | 403 | 4 | transformers | [
"transformers",
"gguf",
"merge",
"mergekit",
"gemma3",
"gemma3-4B",
"tactical-analysis",
"problem-solving",
"devops",
"tactical",
"conversational",
"code",
"uncensored",
"decensored",
"en",
"base_model:sillykiwi/Gemma3-4B-CodeCenturion",
"base_model:quantized:sillykiwi/Gemma3-4B-Code... | null | 2025-12-08T22:32:34Z | ## 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": 465,
"end": 488,
"text": "Gemma3-4B-CodeCenturion",
"label": "benchmark name",
"score": 0.6468179821968079
},
{
"start": 625,
"end": 656,
"text": "Gemma3-4B-CodeCenturion-i1-GGUF",
"label": "benchmark name",
"score": 0.731806218624115
},
{
"start": 730,... |
bhadresh-savani/distilbert-base-uncased-emotion | bhadresh-savani | 2024-08-14T14:11:10Z | 720,932 | 159 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"distilbert",
"text-classification",
"emotion",
"en",
"dataset:emotion",
"arxiv:1910.01108",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | # Distilbert-base-uncased-emotion
## Model description:
[Distilbert](https://arxiv.org/abs/1910.01108) is created with knowledge distillation during the pre-training phase which reduces the size of a BERT model by 40%, while retaining 97% of its language understanding. It's smaller, faster than Bert and any other Bert... | [
{
"start": 651,
"end": 659,
"text": "F1 Score",
"label": "evaluation metric",
"score": 0.6725843548774719
}
] |
dphn/dolphin-2.6-mixtral-8x7b | dphn | 2024-05-20T15:08:34Z | 8,116 | 215 | transformers | [
"transformers",
"pytorch",
"mixtral",
"text-generation",
"conversational",
"en",
"dataset:ehartford/dolphin",
"dataset:jondurbin/airoboros-2.2.1",
"dataset:ehartford/dolphin-coder",
"dataset:teknium/openhermes",
"dataset:ise-uiuc/Magicoder-OSS-Instruct-75K",
"dataset:ise-uiuc/Magicoder-Evol-In... | text-generation | 2023-12-21T22:34:09Z | Dolphin 2.6 Mixtral 8x7b 🐬
[](https://discord.gg/cognitivecomputations)
Discord: https://discord.gg/cognitivecomputations
https://erichartford.com/dolphin-25-mixtral... | [] |
nvidia/GR00T-N1.6-G1-PnPAppleToPlate | nvidia | 2025-12-15T22:51:33Z | 2,493 | 4 | null | [
"safetensors",
"Gr00tN1d6",
"robotics",
"dataset:nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim",
"arxiv:2503.14734",
"base_model:nvidia/GR00T-N1.6-3B",
"base_model:finetune:nvidia/GR00T-N1.6-3B",
"region:us"
] | robotics | 2025-12-06T05:36:06Z | <div align="center">
<a href="https://github.com/NVIDIA/Isaac-GR00T">
<img src="https://cdn-uploads.huggingface.co/production/uploads/67b8da81d01134f89899b4a7/8bFQa2ZIGCsOQQ2ho2N_U.png">
</a>
<div align="center">
<a href="https://github.com/NVIDIA/Isaac-GR00T">
<img src="https://img.shields.io/badge/Git... | [] |
tiny-random/qwen3-vl | tiny-random | 2025-10-18T08:36:46Z | 654 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3-VL-8B-Thinking",
"base_model:finetune:Qwen/Qwen3-VL-8B-Thinking",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-10-18T08:36:44Z | This tiny model is intended for debugging. It is randomly initialized using the configuration adapted from [Qwen/Qwen3-VL-8B-Thinking](https://huggingface.co/Qwen/Qwen3-VL-8B-Thinking).
### Example usage:
```python
import numpy as np
import torch
import transformers
from PIL import Image
from transformers import (
... | [] |
tanaos/tanaos-guardrail-v2 | tanaos | 2026-03-27T07:15:33Z | 126 | 3 | transformers | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"safety",
"moderation",
"guardrail",
"small-model",
"synthetic-data",
"tanaos",
"artifex",
"dataset:tanaos/synthetic-guardrail-dataset-v2",
"base_model:distilbert/distilbert-base-multilingual-cased",
"base_model:finetune:d... | text-classification | 2026-01-31T19:57:31Z | <p align="center">
<img src="https://raw.githubusercontent.com/tanaos/.github/master/assets/logo.png" width="250px" alt="Tanaos – Train task specific LLMs without training data, for offline NLP and Text Classification">
</p>
# tanaos-guardrail-v2: A small but performant base guardrail model
This model was created... | [] |
mradermacher/UnifiedReward-2.0-qwen35-9b-GGUF | mradermacher | 2026-03-08T14:01:46Z | 655 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:CodeGoat24/UnifiedReward-2.0-qwen35-9b",
"base_model:quantized:CodeGoat24/UnifiedReward-2.0-qwen35-9b",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-08T13:44:55Z | ## 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... | [] |
nvidia/Llama-3.3-Nemotron-70B-Reward-Principle | nvidia | 2025-10-30T00:01:48Z | 314 | 6 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"nvidia",
"llama3.3",
"conversational",
"en",
"dataset:nvidia/HelpSteer3",
"arxiv:2410.16184",
"arxiv:2509.21319",
"arxiv:2503.04378",
"arxiv:2505.11475",
"arxiv:2410.01257",
"arxiv:2310.05344",
"arxiv:2311.09528",
"arxiv:240... | text-generation | 2025-10-12T01:17:32Z | # Model Overview
## Description:
Llama-3.3-Nemotron-70B-Reward-Principle is a large language model that leverages Meta-Llama-3.3-70B-Instruct as the foundation and is fine-tuned to predict the extent to which LLM-generated responses fulfils user-specified principles.
Given a conversation with multiple turns between ... | [
{
"start": 457,
"end": 469,
"text": "reward score",
"label": "evaluation metric",
"score": 0.8868869543075562
},
{
"start": 516,
"end": 528,
"text": "reward score",
"label": "evaluation metric",
"score": 0.6388034820556641
},
{
"start": 1365,
"end": 1404,
... |
mradermacher/Holo1.5-3B-i1-GGUF | mradermacher | 2025-12-10T20:57:50Z | 100 | 1 | transformers | [
"transformers",
"gguf",
"multimodal",
"action",
"agent",
"pytorch",
"en",
"base_model:Hcompany/Holo1.5-3B",
"base_model:quantized:Hcompany/Holo1.5-3B",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-16T08:26:36Z | ## 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": 611,
"end": 629,
"text": "Holo1.5-3B-i1-GGUF",
"label": "benchmark name",
"score": 0.6660676002502441
}
] |
WizardLMTeam/WizardMath-7B-V1.1 | WizardLMTeam | 2024-01-12T11:39:28Z | 22,772 | 84 | transformers | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"text-generation-inference",
"region:us"
] | text-generation | 2023-12-19T08:09:17Z | ## WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct (RLEIF)
<p style="font-size:28px;" align="center">
🏠 <a href="https://wizardlm.github.io/" target="_blank">Home Page</a> </p>
<p align="center">
<p align="center">
🤗 <a href="https://huggingface.co/WizardLM" targe... | [] |
llmfan46/Qwen3.6-27B-uncensored-heretic-v1-GGUF | llmfan46 | 2026-04-29T06:12:31Z | 2,398 | 2 | transformers | [
"transformers",
"gguf",
"qwen3_5",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"image-text-to-text",
"base_model:llmfan46/Qwen3.6-27B-uncensored-heretic-v1",
"base_model:quantized:llmfan46/Qwen3.6-27B-uncensored-heretic-v1",
"license:apache-2.0",
"endpoints_compatible",
"r... | image-text-to-text | 2026-04-25T01:32:27Z | <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... | [] |
adamjen/Devstral-Small-2-24B-Opus-Reasoning | adamjen | 2026-03-24T11:53:57Z | 125 | 2 | null | [
"safetensors",
"gguf",
"mistral",
"ministral3",
"code",
"reasoning",
"lora",
"unsloth",
"knowledge-distillation",
"text-generation",
"conversational",
"en",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"base_model:mistralai/Devstral-Small-2-24B-Instruct-2512",
"base_model:adapter... | text-generation | 2026-03-24T11:32:13Z | # Devstral-Small-2-24B Opus Reasoning
A LoRA fine-tune of [Devstral-Small-2-24B](https://huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512) distilled on Claude 4.6 Opus `<think>...</think>` reasoning traces. The goal: give Devstral's strong coding foundation explicit chain-of-thought reasoning before it writ... | [
{
"start": 508,
"end": 512,
"text": "rank",
"label": "evaluation metric",
"score": 0.6722637414932251
}
] |
google/switch-base-128 | google | 2023-01-24T17:20:02Z | 478 | 6 | transformers | [
"transformers",
"pytorch",
"switch_transformers",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2101.03961",
"arxiv:1910.09700",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-11-04T07:59:22Z | # Model Card for Switch Transformers Base - 128 experts
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Usage](#usage)
3. [Uses](#uses)
4. [Bias, Risks, and Limitations](#bias-... | [] |
sanganaka/phi4-hindi2sanskrit-anustubh-lora-merged-step3400 | sanganaka | 2026-03-25T16:42:15Z | 473 | 1 | null | [
"safetensors",
"llama",
"text-generation",
"poetry",
"hindi",
"sanskrit",
"anuṣṭubh",
"lora",
"unsloth",
"conversational",
"hi",
"sa",
"dataset:custom",
"arxiv:2506.00815",
"base_model:unsloth/phi-4",
"base_model:adapter:unsloth/phi-4",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-03-22T10:44:43Z | # Hindi Prose → Sanskrit Anuṣṭubh Poetry (Phi-4 LoRA)
## Model Overview
This model is fine-tuned to generate Sanskrit Anuṣṭubh poetry from Hindi prose input.
It is based on Phi-4 (unsloth) and trained using LoRA fine-tuning.
## About Anuṣṭubh Meter
Anuṣṭubh is the most widely used Sanskrit poetic meter, forming the... | [] |
sbintuitions/sarashina2-7b | sbintuitions | 2024-08-26T09:31:32Z | 1,214 | 28 | transformers | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ja",
"en",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-06-07T11:58:28Z | # Sarashina2-7B
This repository provides large language models trained by [SB Intuitions](https://www.sbintuitions.co.jp/).
## How to use
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline, set_seed
model = AutoModelForCausalLM.from_pretrained("sbintuitions/sarashina2-7... | [] |
mradermacher/gpt-oss-20b-heretic-ara-v3-i1-GGUF | mradermacher | 2026-03-06T13:31:28Z | 33,383 | 6 | transformers | [
"transformers",
"gguf",
"vllm",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:p-e-w/gpt-oss-20b-heretic-ara-v3",
"base_model:quantized:p-e-w/gpt-oss-20b-heretic-ara-v3",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-06T08:00:54Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: MXFP4_MOE 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 ... | [] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.