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 |
|---|---|---|---|---|---|---|---|---|---|---|
HuggingFaceTB/SmolLM2-360M-Instruct | HuggingFaceTB | 2025-09-22T20:44:35Z | 274,780 | 183 | transformers | [
"transformers",
"tensorboard",
"onnx",
"safetensors",
"llama",
"text-generation",
"transformers.js",
"conversational",
"en",
"arxiv:2502.02737",
"base_model:HuggingFaceTB/SmolLM2-360M",
"base_model:quantized:HuggingFaceTB/SmolLM2-360M",
"license:apache-2.0",
"text-generation-inference",
... | text-generation | 2024-10-31T13:41:35Z | # SmolLM2
## Table of Contents
1. [Model Summary](##model-summary)
2. [Limitations](##limitations)
3. [Training](##training)
4. [License](##license)
5. [Citation](##citation)
## Model Summary
Smo... | [] |
mradermacher/Qwen3.5-4B_Homebrew-GGUF | mradermacher | 2026-03-18T11:39:01Z | 1,635 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Nitral-Archive/Qwen3.5-4B_Homebrew",
"base_model:quantized:Nitral-Archive/Qwen3.5-4B_Homebrew",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-06T07:04:21Z | ## 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 ... | [] |
prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v1 | prithivMLmods | 2025-11-12T20:42:51Z | 412 | 15 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"text-generation-inference",
"abliterated",
"v1.0",
"conversational",
"en",
"base_model:Qwen/Qwen3-VL-8B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-8B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-10-16T09:20:36Z | 
# **Qwen3-VL-8B-Instruct-abliterated**
> **Qwen3-VL-8B-Instruct-abliterated** is an abliterated (v1.0) variant of Qwen3-VL-8B-Instruct, designed for Abliterated Reasoning and Captioning.
> This model is fine... | [] |
mradermacher/Huihui-Qwen3-VL-30B-A3B-Instruct-abliterated-i1-GGUF | mradermacher | 2025-12-07T17:55:42Z | 2,484 | 6 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-Qwen3-VL-30B-A3B-Instruct-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3-VL-30B-A3B-Instruct-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
... | null | 2025-11-03T11:37:39Z | ## 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/gemma-3-1b-it-GGUF | mradermacher | 2025-03-15T22:17:35Z | 284 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:google/gemma-3-1b-it",
"base_model:quantized:google/gemma-3-1b-it",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-03-15T22:10:11Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/google/gemma-3-1b-it
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermache... | [] |
Zuntan/Wan22-FastMix | Zuntan | 2025-08-25T14:33:14Z | 14,855 | 9 | null | [
"gguf",
"region:us"
] | null | 2025-08-16T03:10:41Z | [EasyWan22](https://github.com/Zuntan03/EasyWan22) FastMix
2025/08/25 FirstStepCfgHack
Boost1stStep sample: [A-ON](https://yyy.wpx.jp/EW22/S/20250825-Boost1stStepA0_ON.mp4),
[A-OFF](https://yyy.wpx.jp/EW22/S/20250825-Boost1stStepA1_OFF.mp4) |
[B-ON](https://yyy.wpx.jp/EW22/S/20250825-Boost1stStepB0_ON.mp4),
[B-OFF]... | [] |
mradermacher/Darkmere-14B-v0.1-i1-GGUF | mradermacher | 2026-03-12T07:27:58Z | 4,028 | 1 | transformers | [
"transformers",
"gguf",
"mistral",
"heretic",
"uncensored",
"decensored",
"abliterated",
"roleplay",
"rp",
"creative-writing",
"en",
"base_model:0xA50C1A1/Darkmere-14B-v0.1",
"base_model:quantized:0xA50C1A1/Darkmere-14B-v0.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
... | null | 2026-03-12T06:34:11Z | ## 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_... | [] |
shiftyblock/DAARTH-7B-A1B | shiftyblock | 2026-03-16T09:46:40Z | 131 | 2 | megatron | [
"megatron",
"safetensors",
"moe",
"mamba",
"hybrid",
"pretrained",
"language-model",
"mixture-of-experts",
"dataset:gvlassis/ClimbMix",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2026-03-16T01:58:29Z | # DAARTH-7B-A1B
A 7-billion parameter (1B active) hybrid Mamba + Mixture-of-Experts language model pretrained from scratch on 73.4B tokens of [NVIDIA ClimbMix](https://huggingface.co/datasets/nvidia/ClimbMix) data.
## Model Overview
DAARTH-7B-A1B adapts the [Nemotron-Nano-V3](https://huggingface.co/nvidia/Nemotron-N... | [] |
mradermacher/RedSage-Qwen3-8B-DPO-GGUF | mradermacher | 2026-01-30T10:02:54Z | 358 | 1 | transformers | [
"transformers",
"gguf",
"dpo",
"cybersecurity",
"text-generation",
"chat",
"risys-lab",
"en",
"dataset:allenai/llama-3.1-tulu-3-8b-preference-mixture",
"base_model:RISys-Lab/RedSage-Qwen3-8B-DPO",
"base_model:quantized:RISys-Lab/RedSage-Qwen3-8B-DPO",
"endpoints_compatible",
"region:us",
"... | text-generation | 2026-01-30T00:20:28Z | ## 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... | [] |
Momix-44/gemma-4-31B-it-heretic-v2 | Momix-44 | 2026-04-12T23:16:28Z | 33,067 | 1 | transformers | [
"transformers",
"safetensors",
"gguf",
"gemma4",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"base_model:google/gemma-4-31B-it",
"base_model:quantized:google/gemma-4-31B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-04-04T15:12:48Z | # This is a decensored version of [google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0 with Magnitude-Preserving Orthogonal Ablation (MPOA)
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | pe... | [
{
"start": 506,
"end": 530,
"text": "mlp.down_proj.max_weight",
"label": "evaluation metric",
"score": 0.614346981048584
},
{
"start": 546,
"end": 579,
"text": "mlp.down_proj.max_weight_position",
"label": "evaluation metric",
"score": 0.6870801448822021
},
{
"sta... |
Heouzen/LoKR_rikel_woman_v2_wan22_T2V_A14B_LOW_HIGH | Heouzen | 2026-04-12T12:50:29Z | 553 | 1 | diffusers | [
"diffusers",
"text-to-image",
"lora",
"template:sd-lora",
"ai-toolkit",
"base_model:ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16",
"base_model:adapter:ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | 2026-04-08T14:25:34Z | *GAGAL DON'T USE 🤭*
training_results:
- { step: 200, value_real: 0.092484 }
- { step: 300, value_real: 0.069191 }
- { step: 400, value_real: 0.117535 }
- { step: 500, value_real: 0.081772 }
- { step: 600, value_real: 0.048521 }
- { step: 700, value_real: 0.075123 }
- { step: 800, value_real: 0.102... | [] |
alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Beta | alimama-creative | 2024-10-12T10:03:10Z | 4,884 | 423 | diffusers | [
"diffusers",
"safetensors",
"ComfyUI",
"Inpainting",
"image-to-image",
"en",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:finetune:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | image-to-image | 2024-10-08T10:53:43Z | <div style="display: flex; justify-content: center; align-items: center;">
<img src="https://huggingface.co/alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Alpha/resolve/main/images/alibaba.png" alt="alibaba" style="width: 20%; height: auto; margin-right: 5%;">
<img src="https://huggingface.co/alimama-creative/FL... | [] |
LiquidAI/LFM2-8B-A1B-ONNX | LiquidAI | 2026-03-24T21:03:46Z | 262 | 4 | null | [
"onnx",
"lfm2_moe",
"liquid",
"edge",
"lfm2",
"moe",
"mixture-of-experts",
"onnxruntime",
"text-generation",
"conversational",
"en",
"base_model:LiquidAI/LFM2-8B-A1B",
"base_model:quantized:LiquidAI/LFM2-8B-A1B",
"license:other",
"region:us"
] | text-generation | 2026-01-08T15:00:41Z | <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; jus... | [] |
mradermacher/Heretic-Nemotron-Content-Safety-Reasoning-4B-i1-GGUF | mradermacher | 2026-01-05T17:26:34Z | 292 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"en",
"base_model:hereticness/Heretic-Nemotron-Content-Safety-Reasoning-4B",
"base_model:quantized:hereticness/Heretic-Nemotron-Content-Safety-Reasoning-4B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-05T16:40:58Z | ## 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": 649,
"end": 701,
"text": "Heretic-Nemotron-Content-Safety-Reasoning-4B-i1-GGUF",
"label": "benchmark name",
"score": 0.6296157240867615
}
] |
nvidia/C-RADIO | nvidia | 2024-12-18T20:35:52Z | 3,705 | 27 | transformers | [
"transformers",
"safetensors",
"feature-extraction",
"custom_code",
"arxiv:2312.06709",
"arxiv:2410.01680",
"arxiv:2412.07679",
"license:other",
"region:us"
] | feature-extraction | 2024-05-29T19:43:29Z | # Model Overview
## Description:
This model performs visual feature extraction.
For instance, RADIO generates image embeddings that can be used by a downstream model to classify images.
### License/Terms of Use
[License] This model is governed by the [NVIDIA Open Model License Agreement](https://developer.download.n... | [] |
DavidAU/Qwen3-30B-A3B-Gemini-Pro-High-Reasoning-2507-ABLITERATED-UNCENSORED | DavidAU | 2026-02-15T04:32:30Z | 207 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"finetune",
"unsloth",
"abliterated",
"uncensored",
"specialized post tuning",
"claude-4.5-opus",
"reasoning",
"thinking",
"distill-fine-tune",
"moe",
"128 experts",
"256k context",
"mixture of experts",
"conversational... | text-generation | 2026-02-11T03:15:58Z | <h2>Qwen3-30B-A3B-Gemini-Pro-High-Reasoning-2507-ABLITERATED-UNCENSORED</h2>
<img src="qwen-vl.gif" style="float:right; width:300px; height:300px; padding:10px;">
The power of Gemini 3 Pro High Reasoning with the MOE power (and speed) of Qwen 30B-A3B 2507 Thinking (256k context, 128 experts).
This version is both fu... | [] |
ibm-granite/granite-4.0-h-350m | ibm-granite | 2025-10-23T08:53:48Z | 8,813 | 97 | transformers | [
"transformers",
"safetensors",
"granitemoehybrid",
"text-generation",
"language",
"granite-4.0",
"conversational",
"arxiv:0000.00000",
"base_model:ibm-granite/granite-4.0-h-350m-base",
"base_model:finetune:ibm-granite/granite-4.0-h-350m-base",
"license:apache-2.0",
"endpoints_compatible",
"d... | text-generation | 2025-10-07T20:23:17Z | # Granite-4.0-H-350M
**Model Summary:**
Granite-4.0-H-350M is a lightweight instruct model finetuned from *Granite-4.0-H-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 incl... | [] |
hertz-hwang/Qwen3.5-27B-OpenClaw-mlx-6.5bit | hertz-hwang | 2026-03-23T12:36:13Z | 252 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"qwen3.5",
"Claude",
"Opus4.6",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"base_model:Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled",
"base_model:quantized:Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoni... | null | 2026-03-23T12:08:33Z | The Model [hertz-hwang/Qwen3.5-27B-OpenClaw-mlx-6.5bit](https://huggingface.co/hertz-hwang/Qwen3.5-27B-OpenClaw-mlx-6.5bit) was converted to MLX format from [peterjohannmedina/Medina-Qwen3.5-27B-OpenClaw-Merged](https://huggingface.co/peterjohannmedina/Medina-Qwen3.5-27B-OpenClaw-Merged) using mlx-lm version **0.31.1**... | [] |
MiniMaxAI/VTP-Large-f16d64 | MiniMaxAI | 2025-12-16T09:23:36Z | 180 | 14 | transformers | [
"transformers",
"safetensors",
"vtp",
"image-feature-extraction",
"en",
"arxiv:2512.13687",
"license:other",
"endpoints_compatible",
"region:us"
] | image-feature-extraction | 2025-12-16T05:27:29Z | <div align="center">
<img src="figures/logo.png" alt="Logo" width="200"/>
<h2> Towards Scalable Pre-training of Visual Tokenizers for Generation </h2>
[Jingfeng Yao](https://github.com/JingfengYao)<sup>1</sup>, [Yuda Song](https://github.com/IDKiro)<sup>2</sup>, Yucong Zhou<sup>2</sup>, [Xinggang Wang](https://xwcv.... | [] |
ibm-granite/granite-embedding-30m-english | ibm-granite | 2025-08-22T15:49:49Z | 98,514 | 30 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"onnx",
"safetensors",
"roberta",
"feature-extraction",
"language",
"granite",
"embeddings",
"mteb",
"transformers",
"sentence-similarity",
"en",
"arxiv:2502.20204",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"regi... | sentence-similarity | 2024-12-04T20:28:47Z | # Granite-Embedding-30m-English (revision r1.1)
**Model Summary:**
Granite-Embedding-30m-English is a 30M parameter dense bi-encoder embedding model from the Granite Embeddings suite that can be used to generate high quality text embeddings. This model produces embedding vectors of size 384 and is trained using a comb... | [
{
"start": 523,
"end": 527,
"text": "BEIR",
"label": "benchmark name",
"score": 0.9005260467529297
}
] |
facebook/vjepa2-vitg-fpc64-256 | facebook | 2025-08-11T13:47:31Z | 47,623 | 29 | transformers | [
"transformers",
"safetensors",
"vjepa2",
"feature-extraction",
"video",
"video-classification",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | video-classification | 2025-04-07T21:00:31Z | # V-JEPA 2
A frontier video understanding model developed by FAIR, Meta, which extends the pretraining objectives of [VJEPA](https://ai.meta.com/blog/v-jepa-yann-lecun-ai-model-video-joint-embedding-predictive-architecture/), resulting in state-of-the-art video understanding capabilities, leveraging data and model siz... | [] |
internlm/Intern-S1-FP8 | internlm | 2025-10-31T05:22:25Z | 127 | 41 | null | [
"safetensors",
"interns1",
"image-text-to-text",
"conversational",
"custom_code",
"arxiv:2508.15763",
"base_model:internlm/Intern-S1",
"base_model:quantized:internlm/Intern-S1",
"license:apache-2.0",
"fp8",
"region:us"
] | image-text-to-text | 2025-07-24T07:00:11Z | ## Intern-S1
<div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/642695e5274e7ad464c8a5ba/E43cgEXBRWjVJlU_-hdh6.png" />
<div> </div>
[💻Github Repo](https://github.com/InternLM/Intern-S1) • [🤗Model Collections](https://huggingface.co/collections/internlm/intern-s1-6882e325e8... | [] |
Qwen/Qwen3.5-0.8B-Base | Qwen | 2026-04-23T11:14:09Z | 143,496 | 67 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-02-28T23:57:45Z | # Qwen3.5-0.8B-Base
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
[](https://chat.qwen.ai)
> [!Note]
> This repository contains model weights and configuration files for the pre-traine... | [] |
mradermacher/QWEN-TTS-GGUF | mradermacher | 2025-08-27T23:39:31Z | 381 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Praha-Labs/QWEN-TTS",
"base_model:quantized:Praha-Labs/QWEN-TTS",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-27T23:27:57Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static qu... | [
{
"start": 362,
"end": 370,
"text": "QWEN-TTS",
"label": "benchmark name",
"score": 0.6229310631752014
},
{
"start": 507,
"end": 520,
"text": "QWEN-TTS-GGUF",
"label": "benchmark name",
"score": 0.7083958983421326
},
{
"start": 1216,
"end": 1229,
"text": "... |
ModernVBERT/colmodernvbert | ModernVBERT | 2026-03-30T23:34:06Z | 3,844 | 29 | colpali | [
"colpali",
"safetensors",
"vidore-experimental",
"vidore",
"visual-document-retrieval",
"en",
"arxiv:2510.01149",
"license:mit",
"region:us"
] | visual-document-retrieval | 2025-09-23T08:50:10Z | # ColModernVBERT
<div>
<img src="bg.png" width="100%" alt="ModernVBERT" />
</div>
## Model
This is the model card for `ColModernVBERT`, the late-interaction version of ModernVBERT that is fine-tuned for visual document retrieval tasks, our most performant model on this task.
## Table of Contents
1. [Overview](#o... | [
{
"start": 2,
"end": 16,
"text": "ColModernVBERT",
"label": "benchmark name",
"score": 0.6931366324424744
},
{
"start": 63,
"end": 74,
"text": "ModernVBERT",
"label": "benchmark name",
"score": 0.7775008082389832
},
{
"start": 124,
"end": 138,
"text": "Col... |
michiyasunaga/BioLinkBERT-base | michiyasunaga | 2022-03-31T00:51:21Z | 10,956 | 44 | transformers | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"exbert",
"linkbert",
"biolinkbert",
"fill-mask",
"question-answering",
"text-classification",
"token-classification",
"en",
"dataset:pubmed",
"arxiv:2203.15827",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_co... | text-classification | 2022-03-08T07:22:12Z | ## BioLinkBERT-base
BioLinkBERT-base model pretrained on [PubMed](https://pubmed.ncbi.nlm.nih.gov/) abstracts along with citation link information. It is introduced in the paper [LinkBERT: Pretraining Language Models with Document Links (ACL 2022)](https://arxiv.org/abs/2203.15827). The code and data are available i... | [
{
"start": 482,
"end": 487,
"text": "BLURB",
"label": "benchmark name",
"score": 0.7999327182769775
},
{
"start": 517,
"end": 522,
"text": "BLURB",
"label": "benchmark name",
"score": 0.6154900193214417
},
{
"start": 530,
"end": 541,
"text": "MedQA-USMLE",... |
manu02/LAnA | manu02 | 2026-04-14T19:12:28Z | 735 | 1 | transformers | [
"transformers",
"safetensors",
"lana_radgen",
"feature-extraction",
"medical-ai",
"radiology",
"chest-xray",
"report-generation",
"segmentation",
"anatomical-attention",
"image-to-text",
"custom_code",
"arxiv:2512.16841",
"license:mit",
"region:us"
] | image-to-text | 2026-03-31T03:29:41Z | # LAnA
**Layer-Wise Anatomical Attention model**
> Best current model in this collection: [`manu02/LAnA-Arxiv`](https://huggingface.co/manu02/LAnA-Arxiv)
[](https://arxiv.org/abs/2512.16841)
[![LinkedIn](https://img.shiel... | [] |
microsoft/MediPhi-Instruct | microsoft | 2025-12-15T19:42:40Z | 5,136 | 61 | transformers | [
"transformers",
"safetensors",
"phi3",
"text-generation",
"merge",
"mergekit",
"medical",
"clinical",
"conversational",
"en",
"dataset:microsoft/mediflow",
"dataset:ncbi/pubmed",
"dataset:epfl-llm/guidelines",
"dataset:starmpcc/Asclepius-Synthetic-Clinical-Notes",
"dataset:akemiH/NoteCha... | text-generation | 2025-07-11T19:28:15Z | # Model Card for MediPhi-Instruct
## Model Summary
The MediPhi Model Collection comprises 7 small language models of 3.8B parameters from the base model `Phi-3.5-mini-instruct` specialized in the medical and clinical domains. The collection is designed in a modular fashion. Five MediPhi experts are fine-tuned on vari... | [] |
inclusionAI/Ling-mini-base-2.0-5T | inclusionAI | 2025-09-26T09:34:57Z | 808 | 6 | null | [
"safetensors",
"bailing_moe",
"custom_code",
"arxiv:2507.17702",
"license:mit",
"region:us"
] | null | 2025-09-08T14:43:16Z | <p align="center">
<img src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*4QxcQrBlTiAAAAAAQXAAAAgAemJ7AQ/original" width="100"/>
<p>
<p align="center">🤗 <a href="https://huggingface.co/inclusionAI">Hugging Face</a>   |   🤖 <a href="https://modelscope.cn/organization/inclusionAI">ModelSc... | [
{
"start": 1336,
"end": 1349,
"text": "LiveCodeBench",
"label": "benchmark name",
"score": 0.6370530724525452
},
{
"start": 1380,
"end": 1389,
"text": "AIME 2025",
"label": "benchmark name",
"score": 0.7482677102088928
},
{
"start": 1391,
"end": 1400,
"tex... |
huper29/huper_recognizer | huper29 | 2026-02-08T14:24:45Z | 1,285 | 4 | null | [
"safetensors",
"wavlm",
"audio",
"speech",
"ctc",
"phone-recognition",
"arpabet",
"arxiv:2602.01634",
"base_model:microsoft/wavlm-large",
"base_model:finetune:microsoft/wavlm-large",
"license:mit",
"region:us"
] | null | 2026-02-08T13:52:48Z | # HuPER Recognizer (ARPAbet phone recognition)
A CTC phone recognizer fine-tuned from **WavLM-Large** that maps **16 kHz** speech audio to an **ARPAbet** phone sequence.
See the HuPER paper for details: **arXiv:2602.01634**.
## Quickstart
```bash
pip install -U transformers torchaudio
```
```python
import torch
imp... | [] |
Funghang/e5-nepali-qa-ir | Funghang | 2026-04-13T11:54:00Z | 183 | 1 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"xlm-roberta",
"sentence-similarity",
"feature-extraction",
"dense",
"generated_from_trainer",
"dataset_size:3840",
"loss:MultipleNegativesRankingLoss",
"ne",
"arxiv:1908.10084",
"arxiv:1705.00652",
"arxiv:2603.13320",
"arxiv:2402.05672",
"base_mod... | sentence-similarity | 2026-04-08T12:35:13Z | # SentenceTransformer based on intfloat/multilingual-e5-base
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for se... | [] |
mradermacher/Terid-V1.0-Nano-GGUF | mradermacher | 2026-03-12T08:02:33Z | 257 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:soumikmahato/Terid-V1.0-Nano",
"base_model:quantized:soumikmahato/Terid-V1.0-Nano",
"endpoints_compatible",
"region:us"
] | null | 2026-03-12T08:02:12Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 365,
"end": 380,
"text": "Terid-V1.0-Nano",
"label": "benchmark name",
"score": 0.6687235832214355
},
{
"start": 517,
"end": 537,
"text": "Terid-V1.0-Nano-GGUF",
"label": "benchmark name",
"score": 0.769234299659729
},
{
"start": 1233,
"end": 1253,
... |
TheDrummer/Anubis-70B-v1.2 | TheDrummer | 2026-03-05T17:27:40Z | 608 | 8 | null | [
"safetensors",
"llama",
"base_model:meta-llama/Llama-3.3-70B-Instruct",
"base_model:finetune:meta-llama/Llama-3.3-70B-Instruct",
"region:us"
] | null | 2026-01-12T09:50:02Z | ## Drummer is open for new opportunities (I'm a Software Engineer). Contact me through any of these channels: https://linktr.ee/thelocaldrummer
### Thank you to everyone who subscribed through [Patreon](https://www.patreon.com/TheDrummer). Your support helps me chug along in this brave new world.
### FAQ for those out... | [] |
unsloth/Olmo-3-7B-Think-GGUF | unsloth | 2025-11-21T04:54:49Z | 6,238 | 7 | null | [
"gguf",
"unsloth",
"en",
"base_model:allenai/Olmo-3-7B-Think",
"base_model:quantized:allenai/Olmo-3-7B-Think",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-21T04:15:44Z | <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... | [] |
ACE-Step/acestep-v15-sft | ACE-Step | 2026-02-07T05:26:15Z | 2,838 | 43 | transformers | [
"transformers",
"safetensors",
"acestep",
"feature-extraction",
"audio",
"music",
"text2music",
"text-to-audio",
"custom_code",
"arxiv:2602.00744",
"license:mit",
"region:us"
] | text-to-audio | 2026-01-23T10:25:44Z | <h1 align="center">ACE-Step 1.5</h1>
<h1 align="center">Pushing the Boundaries of Open-Source Music Generation</h1>
<p align="center">
<a href="https://ace-step.github.io/ace-step-v1.5.github.io/">Project</a> |
<a href="https://huggingface.co/collections/ACE-Step/ace-step-15">Hugging Face</a> |
<a href="htt... | [] |
mradermacher/Qwen3.5-4B_Abliterated-GGUF | mradermacher | 2026-03-03T10:40:48Z | 13,457 | 4 | transformers | [
"transformers",
"gguf",
"en",
"base_model:SicariusSicariiStuff/Qwen3.5-4B_Abliterated",
"base_model:quantized:SicariusSicariiStuff/Qwen3.5-4B_Abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-03T10:15:49Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 532,
"end": 559,
"text": "Qwen3.5-4B_Abliterated-GGUF",
"label": "benchmark name",
"score": 0.6360578536987305
}
] |
mradermacher/Huihui-MiroThinker-v1.0-30B-abliterated-i1-GGUF | mradermacher | 2025-12-04T19:47:06Z | 200 | 2 | transformers | [
"transformers",
"gguf",
"agent",
"open-source",
"miromind",
"deep-research",
"chat",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-MiroThinker-v1.0-30B-abliterated",
"base_model:quantized:huihui-ai/Huihui-MiroThinker-v1.0-30B-abliterated",
"license:mit",
"endpoints_compat... | null | 2025-11-22T16:34:32Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/MamayLM-Gemma-3-4B-IT-v1.0-i1-GGUF | mradermacher | 2025-12-07T00:39:24Z | 118 | 3 | 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 | 2025-09-28T12:03:56Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
baa-ai/GLM-5.1-RAM-420GB-MLX | baa-ai | 2026-04-16T11:37:28Z | 6,097 | 5 | mlx | [
"mlx",
"safetensors",
"glm_moe_dsa",
"quantized",
"mixed-precision",
"glm",
"moe",
"base_model:zai-org/GLM-5.1",
"base_model:quantized:zai-org/GLM-5.1",
"license:other",
"4-bit",
"region:us"
] | null | 2026-04-08T00:13:09Z | # GLM-5.1 — 420GB (MLX)
Mixed-precision quantized version of [zai-org/GLM-5.1](https://huggingface.co/zai-org/GLM-5.1) optimised by [baa.ai](https://baa.ai) using a proprietary Black Sheep AI method.
Per-tensor bit-width allocation via advanced sensitivity analysis and budget-constrained optimisation — no... | [] |
llmfan46/Qwen3.5-27B-ultra-uncensored-heretic-v1-GGUF | llmfan46 | 2026-03-31T18:33:44Z | 30,024 | 29 | null | [
"gguf",
"qwen3_5",
"heretic",
"uncensored",
"decensored",
"abliterated",
"image-text-to-text",
"base_model:llmfan46/Qwen3.5-27B-ultra-uncensored-heretic-v1",
"base_model:quantized:llmfan46/Qwen3.5-27B-ultra-uncensored-heretic-v1",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2026-03-01T03:24:52Z | <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... | [] |
majentik/gemma-4-E4B-turboquant | majentik | 2026-04-21T10:07:02Z | 606 | 7 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"turboquant",
"kv-cache-quantization",
"gemma",
"edge",
"quantized",
"conversational",
"arxiv:2504.19874",
"base_model:google/gemma-4-E4B",
"base_model:finetune:google/gemma-4-E4B",
"license:apache-2.0",
"endpoints_compatible... | image-text-to-text | 2026-04-06T05:40:30Z | # gemma-4-E4B-TurboQuant
**TurboQuant KV cache compression** for [google/gemma-4-E4B](https://huggingface.co/google/gemma-4-E4B).
This is a **documentation repository** that explains how to combine gemma-4-E4B's weights with TurboQuant inference-time KV cache compression. No weights are stored here — use the base mod... | [] |
tasksource/deberta-small-long-nli | tasksource | 2024-08-28T15:06:37Z | 30,606 | 49 | transformers | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"text-classification",
"deberta-v3-small",
"deberta-v3",
"deberta",
"nli",
"natural-language-inference",
"multitask",
"multi-task",
"pipeline",
"extreme-multi-task",
"extreme-mtl",
"tasksource",
"zero-shot",
"rlhf",
"zero-sh... | zero-shot-classification | 2024-01-31T12:02:12Z | # Model Card for DeBERTa-v3-small-tasksource-nli
[DeBERTa-v3-small](https://hf.co/microsoft/deberta-v3-small) with context length of 1680 tokens fine-tuned on tasksource for 250k steps. I oversampled long NLI tasks (ConTRoL, doc-nli).
Training data include HelpSteer v1/v2, logical reasoning tasks (FOLIO, FOL-nli, Log... | [] |
01-ai/Yi-34B | 01-ai | 2024-11-11T03:31:31Z | 10,561 | 1,300 | transformers | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"arxiv:2403.04652",
"arxiv:2311.16502",
"arxiv:2401.11944",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | text-generation | 2023-11-01T07:03:50Z | <div align="center">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_dark.svg" width="200px">
<source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_light.sv... | [] |
mradermacher/LFM2.5-1.2B-MEGABRAIN2-Thinking-Kimi-V2-DISTILL-i1-GGUF | mradermacher | 2026-02-06T18:43:45Z | 1,254 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"finetune",
"All use cases",
"bfloat16",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres"... | null | 2026-02-06T17:47:02Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 647,
"end": 702,
"text": "LFM2.5-1.2B-MEGABRAIN2-Thinking-Kimi-V2-DISTILL-i1-GGUF",
"label": "benchmark name",
"score": 0.674762487411499
}
] |
unsloth/Ministral-3-14B-Instruct-2512-GGUF | unsloth | 2025-12-04T15:25:23Z | 22,597 | 76 | vllm | [
"vllm",
"gguf",
"mistral-common",
"mistral",
"unsloth",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"base_model:mistralai/Ministral-3-14B-Instruct-2512",
"base_model:quantized:mistralai/Ministral-3-14B-Instruct-2512",
"license:apache-2.0",
"region:us",
"... | null | 2025-12-02T12:47:31Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See our <a href="https://huggingface.co/collections/unsloth/ministral-3">Ministral 3 collection</a> for all versions including GGUF, 4-bit & FP8 formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to run Ministral correctly - <a href="h... | [
{
"start": 125,
"end": 136,
"text": "ministral-3",
"label": "benchmark name",
"score": 0.814977765083313
},
{
"start": 138,
"end": 149,
"text": "Ministral 3",
"label": "benchmark name",
"score": 0.7076323628425598
},
{
"start": 192,
"end": 196,
"text": "GG... |
mradermacher/atom-olmo3-7b-i1-GGUF | mradermacher | 2026-03-16T20:11:31Z | 947 | 3 | transformers | [
"transformers",
"gguf",
"conversational-ai",
"cognitive-architectures",
"chat",
"chatbot",
"safetensors",
"persona",
"text",
"text-generation",
"persona-ai",
"roleplay",
"cognitive",
"vanta-research",
"project-atom",
"atom",
"conversational",
"collaborative-ai",
"text-generation-... | text-generation | 2025-11-23T10:14:17Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 620,
"end": 641,
"text": "atom-olmo3-7b-i1-GGUF",
"label": "benchmark name",
"score": 0.6087621450424194
}
] |
taozi555/MN-12B-Mag-Mell-R1-KTO | taozi555 | 2025-10-05T18:02:54Z | 117 | 3 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"base_model:inflatebot/MN-12B-Mag-Mell-R1",
"base_model:finetune:inflatebot/MN-12B-Mag-Mell-R1",
"license:other",
"text-generation-inference",
"endpoints_compatib... | text-generation | 2025-10-05T15:37:01Z | <!-- 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. -->
# sft
This model is a fine-tuned version of [inflatebot/MN-12B-Mag-Mell-R1](https://huggingface.co/inflatebot/MN-12B-Mag-Mell-R1) o... | [
{
"start": 245,
"end": 263,
"text": "MN-12B-Mag-Mell-R1",
"label": "benchmark name",
"score": 0.6285306811332703
},
{
"start": 299,
"end": 317,
"text": "MN-12B-Mag-Mell-R1",
"label": "benchmark name",
"score": 0.6502024531364441
},
{
"start": 900,
"end": 913,
... |
jplu/tf-xlm-r-ner-40-lang | jplu | 2022-10-06T09:25:04Z | 1,100 | 30 | transformers | [
"transformers",
"tf",
"xlm-roberta",
"token-classification",
"multilingual",
"af",
"ar",
"bg",
"bn",
"de",
"el",
"en",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"he",
"hi",
"hu",
"id",
"it",
"ja",
"jv",
"ka",
"kk",
"ko",
"ml",
"mr",
"ms",
"my",
"nl",
"pt",... | token-classification | 2022-03-02T23:29:05Z | # XLM-R + NER
This model is a fine-tuned [XLM-Roberta-base](https://arxiv.org/abs/1911.02116) over the 40 languages proposed in [XTREME](https://github.com/google-research/xtreme) from [Wikiann](https://aclweb.org/anthology/P17-1178). This is still an on-going work and the results will be updated everytime an improve... | [
{
"start": 131,
"end": 137,
"text": "XTREME",
"label": "benchmark name",
"score": 0.7298230528831482
},
{
"start": 493,
"end": 532,
"text": "precision recall f1-score support",
"label": "benchmark name",
"score": 0.8956785202026367
},
{
"start": 688,
"en... |
mradermacher/UnslopNemo-12B-v4.1-i1-GGUF | mradermacher | 2024-12-04T01:46:09Z | 448 | 11 | transformers | [
"transformers",
"gguf",
"en",
"base_model:TheDrummer/UnslopNemo-12B-v4.1",
"base_model:quantized:TheDrummer/UnslopNemo-12B-v4.1",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2024-10-29T00:19:45Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/TheDrummer/UnslopNemo-12B-v4.1
<!-- provided-files -->
static quants are available at https://huggingf... | [] |
UnfilteredAI/Dan-Qwen3.5-4B | UnfilteredAI | 2026-03-27T04:44:35Z | 277 | 3 | null | [
"safetensors",
"qwen3_5",
"unsloth",
"unfiltered",
"nsfw",
"roleplay",
"dan",
"full-finetune",
"text-generation",
"conversational",
"en",
"base_model:Qwen/Qwen3.5-4B",
"base_model:finetune:Qwen/Qwen3.5-4B",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-03-25T07:29:51Z | # Dan-Qwen3.5-4B
This model is a **full parameter fine-tune** of [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B), specifically engineered to remove the safety constraints and alignment layers typically found in base assistant models.
Unlike LoRA or QLoRA adapters, this version underwent a complete weight u... | [] |
merve/rtdetr-v2-mobile-ui-design | merve | 2026-02-24T17:16:36Z | 108 | 1 | transformers | [
"transformers",
"safetensors",
"rt_detr_v2",
"object-detection",
"vision",
"trackio",
"trackio:https://huggingface.co/spaces/merve/trackio",
"generated_from_trainer",
"base_model:PekingU/rtdetr_v2_r50vd",
"base_model:finetune:PekingU/rtdetr_v2_r50vd",
"license:apache-2.0",
"endpoints_compatibl... | object-detection | 2026-02-24T17:02:23Z | <!-- 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. -->
<a href="https://huggingface.co/spaces/merve/trackio" target="_blank"><img src="https://raw.githubusercontent.com/gradio-app/trackio... | [
{
"start": 1379,
"end": 1392,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.6503658294677734
}
] |
SamsungSDS-Research/SGuard-ContentFilter-2B-v1 | SamsungSDS-Research | 2025-11-25T08:00:57Z | 375 | 12 | transformers | [
"transformers",
"safetensors",
"granite",
"text-generation",
"samsung",
"safety",
"pytorch",
"unsafe",
"conversational",
"en",
"ko",
"arxiv:2511.12497",
"base_model:ibm-granite/granite-3.3-2b-instruct",
"base_model:finetune:ibm-granite/granite-3.3-2b-instruct",
"license:apache-2.0",
"e... | text-generation | 2025-11-11T06:20:31Z | # SGuard-ContentFilter-2B
<p align="center">
<img src="./logo.png" width="720"/>
<p>
We present SGuard-v1, a lightweight safety guardrail for Large Language Models (LLMs), which comprises two specialized models designed to detect harmful content and screen adversarial prompts in human–AI conversational settings.
... | [
{
"start": 471,
"end": 495,
"text": "binary confidence scores",
"label": "evaluation metric",
"score": 0.7878563404083252
}
] |
Qwen/Qwen3-Next-80B-A3B-Instruct-FP8 | Qwen | 2025-09-22T05:38:44Z | 233,906 | 82 | transformers | [
"transformers",
"safetensors",
"qwen3_next",
"text-generation",
"conversational",
"arxiv:2309.00071",
"arxiv:2404.06654",
"arxiv:2505.09388",
"arxiv:2501.15383",
"base_model:Qwen/Qwen3-Next-80B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-Next-80B-A3B-Instruct",
"license:apache-2.0",
"end... | text-generation | 2025-09-22T03:48:53Z | # Qwen3-Next-80B-A3B-Instruct-FP8
<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
Over the past few months, we have observed increasin... | [
{
"start": 2,
"end": 33,
"text": "Qwen3-Next-80B-A3B-Instruct-FP8",
"label": "benchmark name",
"score": 0.8252817988395691
},
{
"start": 676,
"end": 686,
"text": "Qwen3-Next",
"label": "benchmark name",
"score": 0.8741081357002258
},
{
"start": 748,
"end": 775... |
YongkangZOU/evoxtral-lora | YongkangZOU | 2026-03-01T19:33:46Z | 137 | 1 | peft | [
"peft",
"safetensors",
"voxtral",
"lora",
"speech-recognition",
"expressive-transcription",
"audio",
"mistral",
"hackathon",
"rl",
"raft",
"automatic-speech-recognition",
"en",
"dataset:custom",
"arxiv:2509.01939",
"base_model:mistralai/Voxtral-Mini-3B-2507",
"base_model:adapter:mist... | automatic-speech-recognition | 2026-03-01T10:46:06Z | # Evoxtral LoRA — Expressive Tagged Transcription
A LoRA adapter for [Voxtral-Mini-3B-2507](https://huggingface.co/mistralai/Voxtral-Mini-3B-2507) that produces transcriptions enriched with inline expressive audio tags from the [ElevenLabs v3 tag set](https://elevenlabs.io/docs/api-reference/text-to-speech).
Built fo... | [
{
"start": 540,
"end": 543,
"text": "WER",
"label": "evaluation metric",
"score": 0.6905425786972046
},
{
"start": 1363,
"end": 1365,
"text": "lr",
"label": "evaluation metric",
"score": 0.651755690574646
}
] |
unsloth/Phi-3.5-mini-instruct | unsloth | 2024-11-22T07:24:57Z | 4,757 | 47 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"unsloth",
"phi3",
"phi",
"microsoft",
"conversational",
"multilingual",
"arxiv:2404.14219",
"arxiv:2407.13833",
"base_model:microsoft/Phi-3.5-mini-instruct",
"base_model:finetune:microsoft/Phi-3.5-mini-instruct",
"license:mit",
... | text-generation | 2024-08-20T20:19:32Z | # Finetune Phi-3.5, Llama 3.1, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a free Google Colab Tesla T4 notebook for Phi-3.5 (mini) here: https://colab.research.google.com/drive/1lN6hPQveB_mHSnTOYifygFcrO8C1bxq4?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/D... | [
{
"start": 11,
"end": 18,
"text": "Phi-3.5",
"label": "benchmark name",
"score": 0.7859777212142944
},
{
"start": 20,
"end": 29,
"text": "Llama 3.1",
"label": "benchmark name",
"score": 0.6797381043434143
},
{
"start": 136,
"end": 143,
"text": "Phi-3.5",
... |
mradermacher/Qwen3-4B-2507-Thinking-heretic-abliterated-uncensored-i1-GGUF | mradermacher | 2025-12-11T12:37:00Z | 224 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"en",
"base_model:DavidAU/Qwen3-4B-2507-Thinking-heretic-abliterated-uncensored",
"base_model:quantized:DavidAU/Qwen3-4B-2507-Thinking-heretic-abliterated-uncensored",
"endpoints_compatible",
"region:us",... | null | 2025-12-11T10:21:10Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
EleutherAI/gpt-neox-20b | EleutherAI | 2024-01-31T20:30:35Z | 269,502 | 580 | transformers | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"en",
"dataset:EleutherAI/pile",
"arxiv:2204.06745",
"arxiv:2101.00027",
"arxiv:2201.07311",
"arxiv:2104.09864",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azur... | text-generation | 2022-04-07T20:28:29Z | GPT-NeoX-20B is a 20 billion parameter autoregressive language model trained
on [the Pile](https://pile.eleuther.ai/) using the [GPT-NeoX
library](https://github.com/EleutherAI/gpt-neox). Its architecture intentionally
resembles that of GPT-3, and is almost identical to that of [GPT-J-
6B](https://huggingface.co/Ele... | [] |
mradermacher/MemOCR-7B-GGUF | mradermacher | 2026-03-06T12:01:27Z | 884 | 1 | transformers | [
"transformers",
"gguf",
"vision",
"multimodal",
"visual-question-answering",
"memory-agent",
"long-context",
"en",
"base_model:meituan/MemOCR-7B",
"base_model:quantized:meituan/MemOCR-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | visual-question-answering | 2026-03-05T16:17:31Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
typhoon-ai/llama-3-typhoon-v1.5-8b-instruct | typhoon-ai | 2025-03-31T10:47:50Z | 9,145 | 30 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"instruct",
"chat",
"conversational",
"en",
"th",
"arxiv:2312.13951",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-05-06T06:10:28Z | **Llama-3-Typhoon-1.5-8B: Thai Large Language Model (Instruct)**
**Llama-3-Typhoon-1.5-8B-instruct** is a *instruct* Thai 🇹🇭 large language model with 8 billion parameters, and it is based on Llama3-8B.
For relea... | [
{
"start": 2,
"end": 24,
"text": "Llama-3-Typhoon-1.5-8B",
"label": "benchmark name",
"score": 0.7121825218200684
},
{
"start": 68,
"end": 99,
"text": "Llama-3-Typhoon-1.5-8B-instruct",
"label": "benchmark name",
"score": 0.644501268863678
},
{
"start": 207,
"... |
mradermacher/Qwen3.5-9B-ultimate-irrefusable-heretic-GGUF | mradermacher | 2026-03-05T10:40:21Z | 4,059 | 4 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:llmfan46/Qwen3.5-9B-ultimate-irrefusable-heretic",
"base_model:quantized:llmfan46/Qwen3.5-9B-ultimate-irrefusable-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversation... | null | 2026-03-04T14:53:41Z | ## 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... | [] |
MaziyarPanahi/GLM-4.6V-Flash-GGUF | MaziyarPanahi | 2025-12-08T15:12:40Z | 57,342 | 3 | null | [
"gguf",
"mistral",
"quantized",
"2-bit",
"3-bit",
"4-bit",
"5-bit",
"6-bit",
"8-bit",
"GGUF",
"text-generation",
"base_model:zai-org/GLM-4.6V-Flash",
"base_model:quantized:zai-org/GLM-4.6V-Flash",
"region:us",
"conversational"
] | text-generation | 2025-12-08T15:07:15Z | # [MaziyarPanahi/GLM-4.6V-Flash-GGUF](https://huggingface.co/MaziyarPanahi/GLM-4.6V-Flash-GGUF)
- Model creator: [zai-org](https://huggingface.co/zai-org)
- Original model: [zai-org/GLM-4.6V-Flash](https://huggingface.co/zai-org/GLM-4.6V-Flash)
## Description
[MaziyarPanahi/GLM-4.6V-Flash-GGUF](https://huggingface.co/... | [] |
wolfram/miquliz-120b-v2.0-GGUF | wolfram | 2024-03-19T17:08:38Z | 272 | 30 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"de",
"fr",
"es",
"it",
"arxiv:2203.05482",
"base_model:152334H/miqu-1-70b-sf",
"base_model:merge:152334H/miqu-1-70b-sf",
"base_model:lizpreciatior/lzlv_70b_fp16_hf",
"base_model:merge:lizpreciatior/lzlv_70b_fp16_hf",
"endpoints_compatib... | null | 2024-02-10T23:52:56Z | # miquliz-120b-v2.0
- HF: [wolfram/miquliz-120b-v2.0](https://huggingface.co/wolfram/miquliz-120b-v2.0)
- GGUF: IQ1_S* | IQ2_XXS* | IQ2_XS* | Q2_K | IQ3_XXS* | IQ3_XXS.old | IQ4_XS* | Q4_K_M | Q5_K... | [] |
sylvester-francis/typescript-slm-7b-reasoning-full | sylvester-francis | 2025-11-30T01:25:39Z | 234 | 2 | transformers | [
"transformers",
"safetensors",
"gguf",
"qwen2",
"text-generation",
"code",
"typescript",
"reasoning",
"react",
"nextjs",
"angular",
"nodejs",
"deepseek",
"ollama",
"conversational",
"en",
"dataset:github-code",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
"base_model:qua... | text-generation | 2025-11-29T20:17:40Z | # TypeScript-SLM-7B-Reasoning-Full
**TypeScript-SLM-7B-Reasoning** is a 7B-parameter DeepSeek-based model fine-tuned for step-by-step TypeScript reasoning. It merges the base model with LoRA adapters and includes GGUF quantization for local/Ollama workflows.
This repository hosts the **full merged model** plus **GGUF... | [] |
harimuliawan999/Huihui-Qwen3.5-4B-abliterated | harimuliawan999 | 2026-03-08T13:49:31Z | 616 | 1 | transformers | [
"transformers",
"safetensors",
"gguf",
"qwen3_5",
"image-text-to-text",
"abliterated",
"uncensored",
"conversational",
"base_model:Qwen/Qwen3.5-4B",
"base_model:quantized:Qwen/Qwen3.5-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-03-08T13:49:30Z | # huihui-ai/Huihui-Qwen3.5-4B-abliterated
This is the uncensored version of [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B) after fine-tuning. It has been trained using [TRL](https://github.com/huggingface/trl).
The fine-tuned dataset is a type of dataset that operates in a non-think mode, and it may actua... | [] |
typhoon-ai/typhoon-s-thaillm-8b-instruct-research-preview | typhoon-ai | 2026-03-02T19:20:48Z | 1,461 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2601.18129",
"base_model:ThaiLLM/ThaiLLM-8B",
"base_model:finetune:ThaiLLM/ThaiLLM-8B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-17T08:02:08Z | ## **Typhoon-S-ThaiLLM-8B-Instruct 🇹🇭 (Research Preview)**
**Typhoon-S-ThaiLLM-8B-Instruct** 🇹🇭 is a "**S**overeign", instruction-tuned Thai large language model based on [**ThaiLLM**](https://huggingface.co/ThaiLLM/ThaiLLM-8B) focusing on **openness and reproducibility** with the **training dataset**, **training ... | [] |
ubergarm/GLM-4.5-Air-GGUF | ubergarm | 2025-08-08T19:12:12Z | 593 | 33 | null | [
"gguf",
"imatrix",
"conversational",
"ik_llama.cpp",
"text-generation",
"base_model:zai-org/GLM-4.5-Air",
"base_model:quantized:zai-org/GLM-4.5-Air",
"license:mit",
"region:us"
] | text-generation | 2025-08-02T06:05:33Z | ## `ik_llama.cpp` imatrix Quantizations of zai-org/GLM-4.5-Air
This quant collection **REQUIRES** [ik_llama.cpp](https://github.com/ikawrakow/ik_llama.cpp/) fork to support the ik's latest SOTA quants and optimizations! Do **not** download these big files and expect them to run on mainline vanilla llama.cpp, ollama, LM... | [] |
t-tech/T-pro-it-2.1-FP8 | t-tech | 2025-12-22T18:24:44Z | 1,270 | 2 | null | [
"safetensors",
"qwen3",
"ru",
"base_model:t-tech/T-pro-it-2.1",
"base_model:quantized:t-tech/T-pro-it-2.1",
"license:apache-2.0",
"compressed-tensors",
"region:us"
] | null | 2025-12-18T08:37:24Z | # T-pro-it-2.1-FP8
> **Main BF16 model:** [t-tech/T-pro-it-2.1](https://huggingface.co/t-tech/T-pro-it-2.1)
**🚨 Users are advised to exercise caution and are responsible for any additional training and oversight required to ensure the model's responses meet acceptable ethical and safety standards. The responsibility... | [
{
"start": 1317,
"end": 1321,
"text": "Tau2",
"label": "benchmark name",
"score": 0.6309606432914734
},
{
"start": 1324,
"end": 1332,
"text": "ACEBench",
"label": "benchmark name",
"score": 0.6910615563392639
}
] |
DarkArtsForge/Asmodeus-24B-v2 | DarkArtsForge | 2026-03-22T10:10:53Z | 202 | 6 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"DELLA",
"merge",
"mergekit",
"uncensored",
"conversational",
"en",
"dataset:OccultAI/illuminati_imatrix_v1",
"arxiv:2406.11617",
"base_model:Casual-Autopsy/Maginum-Cydoms-24B",
"base_model:merge:Casual-Autopsy/Maginum-Cydoms-24B... | text-generation | 2026-03-19T15:51:31Z | <audio controls src="https://dn720303.ca.archive.org/0/items/bach-j.s.-organ-works-daniel-chorzempa-dvg/01%20J.S.%20Bach%20-%20Toccata%20and%20Fugue%20in%20D%20minor%2C%20BWV%20565.flac"></audio>
> [!CAUTION]
> <span style="color:red; font-weight:bold">⚠️ Warning:</span> This model can produce narratives and RP that c... | [] |
JANGQ-AI/Nemotron-Cascade-2-30B-A3B-JANG_4M | JANGQ-AI | 2026-03-22T19:39:25Z | 669 | 2 | mlx | [
"mlx",
"safetensors",
"nemotron_h",
"jang",
"quantized",
"mixed-precision",
"apple-silicon",
"reasoning",
"thinking",
"moe",
"mamba",
"nemotron",
"text-generation",
"conversational",
"custom_code",
"en",
"base_model:nvidia/Nemotron-Cascade-2-30B-A3B",
"base_model:finetune:nvidia/Ne... | text-generation | 2026-03-21T17:41:35Z | <p align="center">
<a href="https://mlx.studio"><img src="https://raw.githubusercontent.com/jjang-ai/jangq/main/assets/mlx-studio-light.png" alt="MLX Studio" width="500"></a>
</p>
<p align="center">
<a href="https://mlx.studio"><img src="https://mlx.studio/assets/screenshots/mlx-studio-featured.png?v=1" alt="MLX S... | [
{
"start": 497,
"end": 511,
"text": "IMO Gold Medal",
"label": "benchmark name",
"score": 0.6316986680030823
}
] |
Alissonerdx/Wan2.1-HuMo-GGUF | Alissonerdx | 2025-09-13T14:43:48Z | 124 | 8 | null | [
"gguf",
"image-to-video",
"arxiv:2509.08519",
"base_model:bytedance-research/HuMo",
"base_model:quantized:bytedance-research/HuMo",
"license:apache-2.0",
"region:us"
] | image-to-video | 2025-09-12T14:02:13Z | ---
license: apache-2.0
pipeline_tag: image-to-video
---
Quantization of Kijai's FP16 Release
[HuMo](https://huggingface.co/Kijai/WanVideo_comfy/tree/main/HuMo)
# HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning
<div align="center">
[![arXiv](https://img.shields.io/badge/arXiv%20pa... | [] |
mradermacher/KansenSakura-Eclipse-RP-12b-i1-GGUF | mradermacher | 2025-12-16T05:29:19Z | 222 | 9 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"frankenmerge",
"roleplay",
"conversational",
"nsfw",
"en",
"base_model:Retreatcost/KansenSakura-Eclipse-RP-12b",
"base_model:quantized:Retreatcost/KansenSakura-Eclipse-RP-12b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatr... | null | 2025-08-25T00:50:58Z | ## 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... | [] |
bartowski/CodeLlama-7B-KStack-clean-GGUF | bartowski | 2024-05-25T04:40:59Z | 368 | 3 | null | [
"gguf",
"code",
"text-generation",
"dataset:JetBrains/KStack-clean",
"base_model:meta-llama/CodeLlama-7b-hf",
"base_model:quantized:meta-llama/CodeLlama-7b-hf",
"license:apache-2.0",
"region:us"
] | text-generation | 2024-05-25T04:24:57Z | ## Llamacpp imatrix Quantizations of CodeLlama-7B-KStack-clean
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2965">b2965</a> for quantization.
Original model: https://huggingface.co/JetBrains/CodeLlama-7B-KStack-clean
All q... | [] |
mradermacher/gpt-oss-coder-20b-i1-GGUF | mradermacher | 2025-12-08T12:27:05Z | 210 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"gpt_oss",
"en",
"dataset:microsoft/rStar-Coder",
"base_model:yasserrmd/gpt-oss-coder-20b",
"base_model:quantized:yasserrmd/gpt-oss-coder-20b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversatio... | null | 2025-08-16T03:35:03Z | ## 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/Violet-Mist-12B-i1-GGUF | mradermacher | 2025-12-05T16:31:58Z | 2,509 | 2 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Vortex5/Violet-Mist-12B",
"base_model:quantized:Vortex5/Violet-Mist-12B",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2025-10-25T09:47:05Z | ## 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_... | [
{
"start": 615,
"end": 638,
"text": "Violet-Mist-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.6563196778297424
},
{
"start": 1193,
"end": 1216,
"text": "Violet-Mist-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.6639336943626404
},
{
"start": 1369,
... |
mradermacher/SmolLM2-135M-multilingual-base-GGUF | mradermacher | 2025-08-30T12:27:50Z | 143 | 3 | transformers | [
"transformers",
"gguf",
"multilingual",
"language-model",
"small-model",
"transformer",
"causal-lm",
"autocomplete",
"base-model",
"research",
"pretrained",
"50-languages",
"experimental",
"not-instruction-tuned",
"ar",
"az",
"bg",
"bn",
"ca",
"cs",
"da",
"de",
"el",
"e... | null | 2025-08-30T12:24:40Z | ## 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... | [] |
stepfun-ai/Step-Audio-2-mini | stepfun-ai | 2026-02-14T09:32:03Z | 1,888 | 254 | transformers | [
"transformers",
"onnx",
"safetensors",
"step_audio_2",
"text-generation",
"any-to-any",
"custom_code",
"en",
"zh",
"arxiv:2507.16632",
"license:apache-2.0",
"region:us"
] | any-to-any | 2025-08-28T07:12:50Z | <div align="center">
<img src="assets/logo.png" height=100>
</div>
<div align="center" style="line-height: 1;">
<a href="https://github.com/stepfun-ai/Step-Audio2" target="_blank"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-StepFun-white?logo=github&logoColor=white"/></a>  
<a href="https://... | [] |
flyingfishinwater/good_and_small_models | flyingfishinwater | 2026-04-28T17:53:27Z | 6,325 | 6 | null | [
"gguf",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2023-12-19T16:45:06Z | # Good and Small models for Mobile Devices
Try them out in
 [Privacy AI](https://apps.apple.com/app/apple-store/id6738392421?pt=127450194&ct=huggingface&mt=8)
on the App Store.
[Privacy AI](https://apps.apple.com/app/apple-store/id6738392421?pt=127450194&ct=hu... | [] |
google/byt5-xl | google | 2023-01-24T16:37:02Z | 8,162 | 13 | transformers | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"multilingual",
"af",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"co",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fil",
"fr",
"fy",
"ga",
"gd",
"gl",
... | null | 2022-03-02T23:29:05Z | # ByT5 - xl
ByT5 is a tokenizer-free version of [Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) and generally follows the architecture of [MT5](https://huggingface.co/google/mt5-xl).
ByT5 was only pre-trained on [mC4](https://www.tensorflow.org/datasets/catalog/c4#c4multiling... | [] |
nvidia/GR00T-N1.6-bridge | nvidia | 2025-12-15T22:51:33Z | 1,270 | 1 | 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 | 2025-12-05T05:12:50Z | <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... | [] |
mradermacher/Qwen3.5-9B-gemini-3.1-opus-4.6-reasoning-i1-GGUF | mradermacher | 2026-04-26T00:07:21Z | 3,073 | 4 | transformers | [
"transformers",
"gguf",
"axolotl",
"generated_from_trainer",
"en",
"dataset:voidful/gemini-3.1-opus-4.6-reasoning-merged",
"base_model:voidful/Qwen3.5-9B-gemini-3.1-opus-4.6-reasoning",
"base_model:quantized:voidful/Qwen3.5-9B-gemini-3.1-opus-4.6-reasoning",
"license:apache-2.0",
"endpoints_compat... | null | 2026-03-08T14:41:52Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
openai/whisper-medium | openai | 2024-02-29T10:57:42Z | 617,314 | 282 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"en",
"zh",
"de",
"es",
"ru",
"ko",
"fr",
"ja",
"pt",
"tr",
"pl",
"ca",
"nl",
"ar",
"sv",
"it",
"id",
"hi",
"fi",
"vi",
"he",
"... | automatic-speech-recognition | 2022-09-26T06:52:52Z | # Whisper
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours
of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need
for fine-tuning.
Whisper was proposed in the paper [Robust Speec... | [] |
mradermacher/Qwen3-VL-8B-Instruct-abliterated-v2.0-GGUF | mradermacher | 2025-11-13T13:43:28Z | 9,506 | 48 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"abliterated",
"v2.0",
"en",
"base_model:prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v2",
"base_model:quantized:prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational... | null | 2025-11-10T13:17:25Z | ## 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... | [] |
XiaomiMiMo/MiMo-7B-RL | XiaomiMiMo | 2025-06-05T15:55:53Z | 42,387 | 276 | transformers | [
"transformers",
"safetensors",
"mimo",
"text-generation",
"conversational",
"custom_code",
"arxiv:2505.07608",
"license:mit",
"region:us"
] | text-generation | 2025-04-29T23:48:55Z | <div align="center">
<picture>
<source srcset="https://github.com/XiaomiMiMo/MiMo/raw/main/figures/Xiaomi_MiMo_darkmode.png?raw=true" media="(prefers-color-scheme: dark)">
<img src="https://github.com/XiaomiMiMo/MiMo/raw/main/figures/Xiaomi_MiMo.png?raw=true" width="60%" alt="Xiaomi-MiMo" />
</picture>
</di... | [] |
millat/mistral-7b-indian-university-guidance | millat | 2026-01-25T17:44:04Z | 304 | 1 | transformers | [
"transformers",
"safetensors",
"gguf",
"unsloth",
"mistral",
"fine-tuned",
"education",
"guidance",
"bangladesh",
"india",
"university",
"lora",
"qlora",
"conversational",
"text-generation",
"doi:10.57967/hf/7639",
"en",
"dataset:millat/indian_university_guidance_for_bangladeshi_st... | text-generation | 2026-01-24T13:03:23Z | # Mistral 7B - Indian University Guidance for Bangladeshi Students
A fine-tuned Mistral-7B model specialized for providing comprehensive guidance to Bangladeshi students seeking admission to Indian universities. The model delivers accurate, domain-specific information about scholarships, admissions, visa processes, an... | [] |
taobao-mnn/Qwen3-VL-2B-Instruct-Eagle3 | taobao-mnn | 2025-10-31T03:50:45Z | 152 | 6 | null | [
"safetensors",
"llama",
"speculative-decoding",
"eagle",
"qwen-vl",
"text-generation",
"zh",
"en",
"base_model:Qwen/Qwen3-VL-2B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-2B-Instruct",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-10-30T02:07:49Z | <!-- 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-VL-2B-Instruct
## Model Overview
This repository contains an **EAGLE-3 style draft model** specifically trained to accelerate the infer... | [
{
"start": 1618,
"end": 1628,
"text": "acc_length",
"label": "evaluation metric",
"score": 0.715756356716156
}
] |
lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-GGUF | lmstudio-community | 2025-07-31T12:35:45Z | 46,675 | 28 | null | [
"gguf",
"text-generation",
"base_model:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-07-31T12:09:12Z | ## 💫 Community Model> Qwen3 Coder 30B A3B Instruct by Qwen
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator:** [Qwen](https://huggingface.co/Qwen)<br>
**... | [] |
unsloth/MiniMax-M2.7 | unsloth | 2026-04-16T05:48:40Z | 1,152 | 16 | transformers | [
"transformers",
"safetensors",
"minimax_m2",
"text-generation",
"conversational",
"custom_code",
"base_model:MiniMaxAI/MiniMax-M2.7",
"base_model:quantized:MiniMaxAI/MiniMax-M2.7",
"license:other",
"endpoints_compatible",
"fp8",
"region:us"
] | text-generation | 2026-04-11T23:30:51Z | <div align="center">
<svg width="60%" height="auto" viewBox="0 0 144 48" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M26.6782 7.96523C26.6782 7.02436 25.913 6.26087 24.9739 6.26087C24.0348 6.26087 23.2695 7.0261 23.2695 7.96523V36.2139C23.2695 38.4 21.4904 40.1791 19.3043 40.1791C17.1183 40.1791 15.3391 3... | [] |
arcee-ai/AFM-4.5B-GGUF | arcee-ai | 2025-09-17T17:53:41Z | 437 | 31 | transformers | [
"transformers",
"gguf",
"en",
"es",
"fr",
"de",
"it",
"pt",
"ru",
"ar",
"hi",
"ko",
"zh",
"arxiv:2410.06511",
"base_model:arcee-ai/AFM-4.5B",
"base_model:quantized:arcee-ai/AFM-4.5B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-07-29T12:43:40Z | <div align="center">
<picture>
<img src="https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/Lj9YVLIKKdImV_jID0A1g.png" width="25%" alt="Arcee AFM 4.5B">
</picture>
</div>
# AFM-4.5B-GGUF
AFM-4.5B is a 4.5 billion parameter instruction-tuned model developed by Arcee.ai, designed ... | [] |
UBC-NLP/MARBERTv2 | UBC-NLP | 2022-03-30T21:52:31Z | 35,607 | 14 | transformers | [
"transformers",
"pytorch",
"tf",
"bert",
"fill-mask",
"Arabic BERT",
"MSA",
"Twitter",
"Masked Langauge Model",
"ar",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | <img src="https://raw.githubusercontent.com/UBC-NLP/marbert/main/ARBERT_MARBERT.jpg" alt="drawing" width="30%" height="30%" align="right"/>
**MARBERTv2** is one of three models described in our **ACL 2021 paper** **["ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic"](https://aclanthology.org/2021.acl-lon... | [] |
prithivMLmods/Olmo-3-Think-AIO-GGUF | prithivMLmods | 2025-11-22T13:59:17Z | 371 | 1 | transformers | [
"transformers",
"gguf",
"olmo3",
"text-generation-inference",
"llama.cpp",
"text-generation",
"en",
"base_model:allenai/Olmo-3-32B-Think",
"base_model:quantized:allenai/Olmo-3-32B-Think",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-11-22T06:53:35Z | # **Olmo-3-Think-AIO-GGUF**
> [Olmo-3-32B-Think and Olmo-3-7B-Think](https://huggingface.co/collections/allenai/olmo-3) are fully open-source dense language models from the Allen Institute for AI, designed for transparent step-by-step reasoning and agentic AI research with inspectable intermediate thought traces. Both... | [
{
"start": 32,
"end": 48,
"text": "Olmo-3-32B-Think",
"label": "benchmark name",
"score": 0.6419707536697388
},
{
"start": 53,
"end": 68,
"text": "Olmo-3-7B-Think",
"label": "benchmark name",
"score": 0.7187723517417908
},
{
"start": 378,
"end": 386,
"text... |
nvidia/Nemotron-Research-GooseReason-4B-Instruct | nvidia | 2026-03-01T13:58:55Z | 463 | 7 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"reasoning",
"rlvr",
"math",
"code",
"stem",
"nvidia",
"conversational",
"en",
"arxiv:2601.22975",
"arxiv:2505.24864",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:cc-b... | text-generation | 2026-01-14T01:49:48Z | <div align="center">
# GooseReason-4B-Instruct
**Trained with *Golden Goose*: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text**
[](https://arxiv.org/abs/2601.22975)
[![License: CC BY-NC 4.0](https://img.shields.io/bad... | [] |
Helsinki-NLP/opus-mt-ko-en | Helsinki-NLP | 2023-08-16T11:59:39Z | 290,444 | 66 | transformers | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ko",
"en",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | translation | 2022-03-02T23:29:04Z | ### kor-eng
* source group: Korean
* target group: English
* OPUS readme: [kor-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-eng/README.md)
* model: transformer-align
* source language(s): kor kor_Hang kor_Latn
* target language(s): eng
* model: transformer-align
* pre-processing: ... | [] |
mradermacher/GLM-4.7-Flash-heretic-GGUF | mradermacher | 2026-03-04T20:08:42Z | 1,205 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"zh",
"base_model:trohrbaugh/GLM-4.7-Flash-heretic",
"base_model:quantized:trohrbaugh/GLM-4.7-Flash-heretic",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-04T16:32:57Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/neon-wire-7b-i1-GGUF | mradermacher | 2026-03-04T15:15:44Z | 3,471 | 1 | transformers | [
"transformers",
"gguf",
"sysbreak",
"cyberpunk",
"game-content",
"qwen2",
"lora-merged",
"en",
"base_model:nullvektordom/neon-wire-7b",
"base_model:quantized:nullvektordom/neon-wire-7b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-04T12:15:14Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 618,
"end": 638,
"text": "neon-wire-7b-i1-GGUF",
"label": "benchmark name",
"score": 0.6299936771392822
}
] |
ibm-granite/granite-docling-258M-mlx | ibm-granite | 2025-09-17T11:35:46Z | 2,762 | 89 | transformers | [
"transformers",
"safetensors",
"idefics3",
"image-text-to-text",
"mlx",
"conversational",
"en",
"arxiv:2501.17887",
"base_model:ibm-granite/granite-docling-258M",
"base_model:finetune:ibm-granite/granite-docling-258M",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-07-08T18:38:25Z | # granite-docling-258M-mlx
<div style="display: flex; align-items: center;">
<img src="https://huggingface.co/ibm-granite/granite-docling-258M/resolve/main/granite_docling.png" alt="Granite Docling Logo" style="width: 200px; height: auto; margin-right: 20px;">
<div>
<p>Granite Docling is a multimodal I... | [] |
mradermacher/Mistral-Small-3.2-24B-Instruct-2506-absolute-heresy-GGUF | mradermacher | 2026-02-16T12:22:57Z | 442 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"fr",
"de",
"es",
"pt",
"it",
"ja",
"ko",
"ru",
"zh",
"ar",
"fa",
"id",
"ms",
"ne",
"pl",
"ro",
"sr",
"sv",
"tr",
"uk",
"vi",
"hi",
"bn",
"base_model:MuXodious/Mistral-Smal... | null | 2026-02-16T11:43:50Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
unsloth/medgemma-1.5-4b-it-GGUF | unsloth | 2026-01-14T01:01:03Z | 7,708 | 32 | transformers | [
"transformers",
"gguf",
"medical",
"unsloth",
"radiology",
"clinical-reasoning",
"dermatology",
"pathology",
"ophthalmology",
"chest-x-ray",
"image-text-to-text",
"arxiv:2303.15343",
"arxiv:2507.05201",
"arxiv:2406.19578",
"arxiv:2405.03162",
"arxiv:2106.14463",
"arxiv:2009.13081",
... | image-text-to-text | 2026-01-14T00:33:08Z | <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... | [] |
google/metricx-23-large-v2p0 | google | 2024-08-01T17:04:37Z | 272 | 6 | transformers | [
"transformers",
"pytorch",
"mt5",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-02-07T15:47:41Z | # MetricX-23
*This is not an officially supported Google product.*
**GitHub repository: [https://github.com/google-research/metricx](https://github.com/google-research/metricx)**
This repository contains the MetricX-23 models,
a family of models for automatic evaluation of translations that were proposed
in the WMT'... | [
{
"start": 796,
"end": 810,
"text": "MetricX-23-XXL",
"label": "evaluation metric",
"score": 0.736355721950531
},
{
"start": 866,
"end": 879,
"text": "MetricX-23-XL",
"label": "evaluation metric",
"score": 0.6441130638122559
},
{
"start": 934,
"end": 950,
... |
dleemiller/finecat-nli-l | dleemiller | 2025-10-30T17:32:23Z | 19,171 | 1 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"modernbert",
"cross-encoder",
"reranker",
"generated_from_trainer",
"dataset_size:1024986",
"loss:CrossEntropyLoss",
"mnli",
"snli",
"anli",
"text-classification",
"en",
"dataset:dleemiller/FineCat-NLI",
"base_model:answerdotai/ModernBERT-large",
... | text-classification | 2025-10-26T18:42:23Z | # FineCat-NLI Large
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/65ff92ea467d83751a727538/Jzq_CZCyRYGrVgbto3eRr.png" style="width: 400px;">
</p>
-----
# Overview
This model is a fine-tune of the excellent `tasksource/ModernBERT-large-nli`,
trained on the `dleemiller/FineCat-... | [
{
"start": 2,
"end": 13,
"text": "FineCat-NLI",
"label": "benchmark name",
"score": 0.6049937009811401
},
{
"start": 312,
"end": 323,
"text": "FineCat-NLI",
"label": "benchmark name",
"score": 0.6549797058105469
},
{
"start": 795,
"end": 798,
"text": "MSE"... |
EricRollei/HunyuanImage-3.0-Instruct-NF4-v2 | EricRollei | 2026-02-22T03:01:16Z | 128 | 1 | transformers | [
"transformers",
"safetensors",
"Hunyuan",
"text-generation",
"hunyuan",
"quantization",
"nf4",
"comfyui",
"custom-nodes",
"autoregressive",
"DiT",
"HunyuanImage-3.0",
"instruct",
"image-editing",
"bitsandbytes",
"4bit",
"text-to-image",
"custom_code",
"base_model:tencent/HunyuanI... | text-to-image | 2026-02-21T19:49:17Z | # Hunyuan Image 3.0 Instruct -- NF4 Quantized (v2)
NF4 (4-bit) quantization of the HunyuanImage-3.0 Instruct model (v2). Fits on a single 48GB GPU. Supports text-to-image, image editing, multi-image fusion, and Chain-of-Thought prompt enhancement.
## What's New in v2
v2 uses improved quantization with more pre... | [] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.