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 |
|---|---|---|---|---|---|---|---|---|---|---|
Tiiny/SmallThinker-21BA3B-Instruct-GGUF | Tiiny | 2025-08-05T01:14:18Z | 1,024 | 38 | null | [
"gguf",
"text-generation",
"en",
"base_model:Tiiny/SmallThinker-21BA3B-Instruct",
"base_model:quantized:Tiiny/SmallThinker-21BA3B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-07-27T16:10:02Z | ## SmallThinker-21BA3B-Instruct-GGUF
- GGUF models with `.gguf` suffix can used with [*llama.cpp*](https://github.com/ggml-org/llama.cpp) framework.
- GGUF models with `.powerinfer.gguf` suffix are integrated with fused sparse FFN operators and sparse LM head operators. These models are only compatible to [*powerinfe... | [] |
tencent/HunyuanVideo | tencent | 2025-03-06T15:39:29Z | 972 | 2,137 | null | [
"text-to-video",
"arxiv:2412.03603",
"arxiv:2405.07719",
"license:other",
"region:us"
] | text-to-video | 2024-12-01T06:00:34Z | <!-- ## **HunyuanVideo** -->
<p align="center">
<img src="https://raw.githubusercontent.com/Tencent/HunyuanVideo/refs/heads/main/assets/logo.png" height=100>
</p>
# HunyuanVideo: A Systematic Framework For Large Video Generation Model Training
-----
This repo contains PyTorch model definitions, pre-trained weigh... | [
{
"start": 657,
"end": 680,
"text": "Penguin Video Benchmark",
"label": "benchmark name",
"score": 0.906421959400177
}
] |
Intel/GLM-5-int4-mixed-AutoRound | Intel | 2026-03-18T01:37:42Z | 6,275 | 3 | null | [
"safetensors",
"glm_moe_dsa",
"text-generation-inference",
"arxiv:2309.05516",
"base_model:zai-org/GLM-5",
"base_model:quantized:zai-org/GLM-5",
"4-bit",
"auto-round",
"region:us"
] | null | 2026-02-25T15:00:16Z | ## Model Details
This model is a mixed int4 model with group_size 64 and symmetric quantization of [zai-org/GLM-5](https://huggingface.co/zai-org/GLM-5/) generated by [intel/auto-round](https://github.com/intel/auto-round). Please follow the license of the original model.
**The model is quantized with pure RTN mode**... | [
{
"start": 109,
"end": 114,
"text": "GLM-5",
"label": "benchmark name",
"score": 0.7280599474906921
},
{
"start": 147,
"end": 152,
"text": "GLM-5",
"label": "benchmark name",
"score": 0.7343122959136963
},
{
"start": 175,
"end": 185,
"text": "auto-round",
... |
ZySec-AI/SecurityLLM | ZySec-AI | 2024-07-29T21:43:43Z | 269 | 103 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"security",
"cybersecwithai",
"threat",
"vulnerability",
"infosec",
"zysec.ai",
"cyber security",
"ai4security",
"llmsecurity",
"cyber",
"malware analysis",
"exploitdev",
"ai4good",
"aisecurity",
"cybersec",
"cybersec... | text-generation | 2024-01-28T09:42:04Z | # ZySec-7B
ZySec-7B, stands as a pivotal innovation for security professionals, leveraging the advanced capabilities of HuggingFace's Zephyr language model series. This AI model is crafted to be an omnipresent cybersecurity ally, offering on-demand, expert guidance in cybersecurity issues. Picture ZySec-7B as an ever-... | [] |
Qwen/Qwen3-4B-MLX-4bit | Qwen | 2025-08-29T08:19:39Z | 70,100 | 27 | mlx | [
"mlx",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2309.00071",
"arxiv:2505.09388",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2025-05-23T23:58:29Z | # Qwen3-4B-MLX-4bit
<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>
## Qwen3 Highlights
Qwen3 is the latest generation of large langu... | [] |
Zigeng/DMax-Coder-16B | Zigeng | 2026-04-20T04:56:08Z | 1,297 | 38 | transformers | [
"transformers",
"safetensors",
"llada2_moe",
"text-generation",
"conversational",
"custom_code",
"dataset:Zigeng/DMax-LLaDA-2.0-Mini-Code-Trajectories",
"arxiv:2604.08302",
"base_model:inclusionAI/LLaDA2.0-mini",
"base_model:finetune:inclusionAI/LLaDA2.0-mini",
"license:apache-2.0",
"region:us... | text-generation | 2026-04-08T12:26:15Z | <div align="center">
<h1>🚀 DMax: Aggressive Parallel Decoding for dLLMs</h1>
<div align="center">
<a href="https://github.com/czg1225/DMax/blob/main/LICENSE">
<img alt="Apache" src="https://img.shields.io/badge/License-Apache-4E94CE.svg">
</a>
<a href="https://huggingface.co/papers/2604.08302">
<img sr... | [] |
RedHatAI/Qwen3-8B-speculator.eagle3 | RedHatAI | 2025-12-02T15:59:57Z | 88,444 | 18 | transformers | [
"transformers",
"safetensors",
"neuralmagic",
"redhat",
"speculators",
"eagle3",
"text-generation",
"custom_code",
"arxiv:2503.01840",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-19T12:33:43Z | # Qwen3-8B-speculator.eagle3
## Model Overview
- **Verifier:** Qwen/Qwen3-8B
- **Speculative Decoding Algorithm:** EAGLE-3
- **Model Architecture:** Eagle3Speculator
- **Release Date:** 07/27/2025
- **Version:** 1.0
- **Model Developers:** RedHat
This is a speculator model designed for use with [Qwen/Qwen3-8B](https:... | [] |
BAAI/RoboBrain2.5-4B | BAAI | 2026-02-28T20:00:01Z | 379 | 7 | null | [
"safetensors",
"qwen3_vl",
"arxiv:2601.14352",
"license:apache-2.0",
"region:us"
] | null | 2026-02-28T17:49:03Z | <div align="center">
<img src="https://github.com/FlagOpen/RoboBrain2.5/raw/main/assets/logo2.png" width="500"/>
</div>
<h1 align="center">RoboBrain 2.5: Depth in Sight, Time in Mind. </h1>
<p align="center">
</a>  ⭐️ <a href="https://superrobobrain.github.io/">Project Page</a></a>   |  &n... | [] |
OddTheGreat/Luna_12B_V.3 | OddTheGreat | 2026-02-19T13:53:58Z | 169 | 5 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"mergekit",
"merge",
"roleplay",
"conversational",
"ru",
"en",
"base_model:LastRef/gemma-3-12b-it-heretic-x",
"base_model:merge:LastRef/gemma-3-12b-it-heretic-x",
"base_model:ReadyArt/Safeword-Casual-V1-12B",
"base_model:merge:... | image-text-to-text | 2026-01-31T23:35:57Z | # Luna_12B_V.3
This is a merge of pre-trained language models.
I'm tired of Mistral 24B, but sadly, it seems there are no consumer-grade models as good for roleplaying as it is.
However, some smaller models are worth trying. 12B Gemma is one of them.
The goal of this merge was to create a non-thinking, all-around m... | [] |
ByteDance/Hyper-SD | ByteDance | 2024-12-05T09:02:21Z | 60,156 | 1,334 | diffusers | [
"diffusers",
"lora",
"text-to-image",
"stable-diffusion",
"flux",
"arxiv:2404.13686",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"region:us"
] | text-to-image | 2024-04-20T06:34:54Z | # Hyper-SD
Official Repository of the paper: *[Hyper-SD](https://arxiv.org/abs/2404.13686)*.
Project Page: https://hyper-sd.github.io/
## News🔥🔥🔥
* Aug.26, 2024. 💥💥💥 Our 8-steps and 16-steps **FLUX.1-dev-related LoRAs** are available now! We recommend LoRA scales around 0.125 that ... | [] |
mradermacher/voice-realtime-1b-10-GGUF | mradermacher | 2026-01-23T15:19:54Z | 158 | 1 | transformers | [
"transformers",
"gguf",
"Realtime TTS",
"Streaming text input",
"Long-form speech generation",
"en",
"base_model:crismacias/voice-realtime-1b-10",
"base_model:quantized:crismacias/voice-realtime-1b-10",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-23T15:03:05Z | ## 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": 520,
"end": 545,
"text": "voice-realtime-1b-10-GGUF",
"label": "benchmark name",
"score": 0.6192178726196289
}
] |
Goekdeniz-Guelmez/JOSIE-4B-Instruct | Goekdeniz-Guelmez | 2026-03-08T16:49:10Z | 452 | 8 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"chat",
"conversational",
"multilingual",
"en",
"es",
"fr",
"pt",
"it",
"ar",
"ko",
"id",
"ru",
"vi",
"de",
"th",
"ja",
"base_model:Goekdeniz-Guelmez/Qwen3-4B-Instruct-2507-gabliterated",
"base_model:finetune:Goekde... | text-generation | 2026-02-12T20:47:18Z | # JOSIE-4B-Instruct
<p align="center"> <img src="josie.jpeg" width="200" alt="JOSIE Logo"> </p>
## Model Card for JOSIE-4B-Instruct
JOSIE-4B-Instruct is a full-weight fine-tuned instruction-following model built on the **gabliterated** version of Qwen3-4B-Instruct-2507. Gabliterated models use a method developed by ... | [] |
OpenMOSS-Team/SciJudge-4B | OpenMOSS-Team | 2026-03-17T08:21:40Z | 300 | 5 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"scientific-evaluation",
"citation-prediction",
"preference-learning",
"GRPO",
"conversational",
"en",
"arxiv:2603.14473",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:apache... | text-generation | 2026-03-15T02:07:22Z | # SciJudge-Qwen3-4B
SciJudge-Qwen3-4B is a fine-tuned language model for **scientific paper evaluation**. Given two academic papers' metadata (title, abstract, publication date), it predicts which paper has a higher citation count — serving as a proxy for assessing research impact and "scientific taste."
This model i... | [] |
wangkanai/wan22-fp8-i2v-gguf | wangkanai | 2025-10-28T18:22:12Z | 530 | 3 | diffusers | [
"diffusers",
"gguf",
"wan",
"image-to-video",
"video-generation",
"license:other",
"region:us"
] | image-to-video | 2025-10-14T09:33:48Z | <!-- README Version: v1.5 -->
# Wan2.2 Image-to-Video (I2V-A14B) - GGUF Quantized Models
High-quality quantized GGUF versions of the Wan2.2 Image-to-Video A14B model for efficient local inference. This repository contains multiple quantization levels optimized for different hardware configurations and quality require... | [] |
Vrizzo/indian-art-sd-model | Vrizzo | 2026-03-20T12:34:42Z | 179 | 15 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion",
"text-to-image",
"indian-art",
"madhubani",
"warli",
"rangoli",
"fine-tuned",
"en",
"base_model:runwayml/stable-diffusion-v1-5",
"base_model:finetune:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"endpoints_compatible",
... | text-to-image | 2026-03-13T18:38:35Z | # 🎨 Indian Art Stable Diffusion Model
Generate beautiful traditional Indian art styles using simple text prompts.
Fine-tuned from Stable Diffusion v1.5 on Indian cultural art themes.
## 🖼️ Sample Outputs
## ✅ What This... | [] |
unsloth/gemma-4-E2B-it-UD-MLX-4bit | unsloth | 2026-04-13T06:14:54Z | 1,048 | 13 | null | [
"safetensors",
"gemma4",
"unsloth",
"gemma",
"google",
"image-text-to-text",
"conversational",
"base_model:google/gemma-4-E2B-it",
"base_model:quantized:google/gemma-4-E2B-it",
"license:apache-2.0",
"4-bit",
"region:us"
] | image-text-to-text | 2026-04-02T16:55:03Z | # Read our How to [Run Gemma 4 Guide!](https://docs.unsloth.ai/models/gemma-4)
To run MLX:
```
curl -fsSL https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/scripts/install_gemma4_mlx.sh | sh
source ~/.unsloth/unsloth_gemma4_mlx/bin/activate
python -m mlx_vlm.chat --model unsloth/gemma-4-E2B-it-UD-MLX... | [] |
mradermacher/Qwen3.5-9B-Claude-4.6-HighIQ-INSTRUCT-i1-GGUF | mradermacher | 2026-03-04T10:51:20Z | 4,159 | 4 | transformers | [
"transformers",
"gguf",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres",
"story",
"writing",
"vivid prosing",
... | null | 2026-03-04T10:22:13Z | ## 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": 463,
"end": 500,
"text": "Qwen3.5-9B-Claude-4.6-HighIQ-INSTRUCT",
"label": "benchmark name",
"score": 0.6156575679779053
},
{
"start": 637,
"end": 682,
"text": "Qwen3.5-9B-Claude-4.6-HighIQ-INSTRUCT-i1-GGUF",
"label": "benchmark name",
"score": 0.72727578878402... |
Flexan/Novaciano-Sorete-1B-GGUF | Flexan | 2026-02-24T21:28:00Z | 785 | 1 | transformers | [
"transformers",
"gguf",
"text-generation",
"safetensors",
"gemma3_text",
"mergekit",
"uncensored",
"nsfw",
"roleplay",
"taboo",
"low-end",
"1b",
"heretic",
"abliterated",
"esperpento-family",
"sorete",
"Not-For-All-Audiences",
"es",
"en",
"arxiv:2311.03099",
"base_model:Novac... | text-generation | 2026-02-24T10:06:29Z | # GGUF Files for Sorete-1B
These are the GGUF files for [Novaciano/Sorete-1B](https://huggingface.co/Novaciano/Sorete-1B).
## Downloads
| GGUF Link | Quantization | Description |
| ---- | ----- | ----------- |
| [Download](https://huggingface.co/Flexan/Novaciano-Sorete-1B-GGUF/resolve/main/Sorete-1B.Q2_K.gguf) | Q2_... | [] |
prithivMLmods/Qwen3.5-9B-f32-GGUF | prithivMLmods | 2026-03-03T03:33:46Z | 2,697 | 2 | transformers | [
"transformers",
"gguf",
"qwen3_5",
"text-generation-inference",
"llama.cpp",
"image-text-to-text",
"en",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2026-03-02T16:50:35Z | # **Qwen3.5-9B-f32-GGUF**
> Qwen3.5-9B from Alibaba's Qwen team is the flagship of the Qwen3.5 small series (0.8B-9B), a 9B-parameter dense multimodal causal language model with integrated vision encoder, leveraging a hybrid Gated DeltaNet architecture (8×[3×(Gated DeltaNet → FFN) → 1×(Gated Attention → FFN)] with 32 ... | [] |
AngelSlim/Qwen3-1.7B_eagle3 | AngelSlim | 2026-01-13T06:46:18Z | 47,617 | 5 | null | [
"pytorch",
"llama",
"qwen3",
"eagle3",
"eagle",
"arxiv:2509.24248",
"arxiv:2509.23809",
"region:us"
] | null | 2025-07-11T07:03:00Z | <p align="center">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/Tencent/AngelSlim/blob/main/docs/source/assets/logos/angelslim_logo_light.png?raw=true">
<img alt="AngelSlim" src="https://github.com/Tencent/AngelSlim/blob/main/docs/source/assets/logos/angelslim_logo.png?raw... | [] |
DavidAU/Qwen3.5-4B-Gemini-Pro-HighIQ-THINKING | DavidAU | 2026-03-12T00:54:58Z | 196 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"unsloth",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
... | image-text-to-text | 2026-03-05T01:48:47Z | <small><font color="red">IMPORTANT:</font> This model has an upgraded Jinja template which repairs issues with org model (repeats, long thinking, loops) and upgrades/repairs to tool handling.</small>
<h2>Qwen3.5-4B-Claude-4.6-HighIQ-THINKING</h2>
Fine tune via Unsloth of Qwen 3.5 4B dense model using Gemini Pro datas... | [] |
NickupAI/LFM2.5-1.2B-Saiga-It-v3-GGUF | NickupAI | 2026-03-13T08:37:23Z | 227 | 1 | null | [
"gguf",
"russian",
"saiga",
"continued-pretraining",
"sft",
"lfm",
"liquid-ai",
"ru",
"en",
"dataset:IlyaGusev/saiga_scored",
"dataset:d0rj/alpaca-cleaned-ru",
"dataset:IlyaGusev/ru_sharegpt_cleaned",
"dataset:IlyaGusev/ru_turbo_saiga",
"dataset:lksy/ru_instruct_gpt4",
"dataset:wikimedia... | null | 2026-03-13T08:28:14Z | # LFM2.5-1.2B-Saiga-It-v3
Continued attempt to make a Russian-language Saiga out of [LFM2.5 1.2B](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct) by Liquid AI. This is v3 — a significant upgrade over [v2](https://huggingface.co/NickupAI/LFM2.5-1.2B-Saiga-It-v2) with much more CPT data.
Inspired by the amazing w... | [] |
joe32140/ModernBERT-base-msmarco | joe32140 | 2025-01-26T00:05:31Z | 2,421 | 11 | sentence-transformers | [
"sentence-transformers",
"onnx",
"safetensors",
"modernbert",
"sentence-similarity",
"feature-extraction",
"generated_from_trainer",
"dataset_size:11662655",
"loss:CachedMultipleNegativesRankingLoss",
"en",
"dataset:sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1",
"arxi... | sentence-similarity | 2024-12-20T05:00:55Z | # SentenceTransformer based on answerdotai/ModernBERT-base
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the [msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1](https://huggingface.co/datasets/sentence-t... | [] |
DavidAU/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking | DavidAU | 2026-02-21T01:55:28Z | 148 | 5 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"uncensored",
"heretic",
"abliterated",
"unsloth",
"finetune",
"All use cases",
"bfloat16",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continu... | image-text-to-text | 2026-02-02T04:55:51Z | <small>Feb 16 2026: Upgraded Jinja Template with direct thinking logic to improve thinking activation.</small>
<h2>Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking</h2>
This is a fully uncensored, full deep thinking Gemma 4B fine tune using Gemini Pro
reasoning dataset via Unsloth via local hardware, Linux (fo... | [
{
"start": 1033,
"end": 1046,
"text": "arc_challenge",
"label": "benchmark name",
"score": 0.7538928985595703
},
{
"start": 1047,
"end": 1055,
"text": "arc_easy",
"label": "benchmark name",
"score": 0.703282356262207
},
{
"start": 1056,
"end": 1061,
"text"... |
mradermacher/DASD-4B-Thinking-i1-GGUF | mradermacher | 2026-01-17T05:00:11Z | 224 | 5 | transformers | [
"transformers",
"gguf",
"en",
"dataset:Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b",
"dataset:Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b-Logprob",
"base_model:Alibaba-Apsara/DASD-4B-Thinking",
"base_model:quantized:Alibaba-Apsara/DASD-4B-Thinking",
"license:apache-2.0",
"endpoints_com... | null | 2026-01-16T23:22:45Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 470,
"end": 486,
"text": "DASD-4B-Thinking",
"label": "benchmark name",
"score": 0.6109809279441833
},
{
"start": 623,
"end": 647,
"text": "DASD-4B-Thinking-i1-GGUF",
"label": "benchmark name",
"score": 0.674644410610199
},
{
"start": 1203,
"end": 1... |
IggyLux/MN-VelvetCafe-RP-12B-Q4_K_M-GGUF | IggyLux | 2026-03-09T01:14:26Z | 536 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplaying",
"RP",
"Writing",
"creative",
"story",
"fiction",
"mistral",
"text",
"adventure",
"conversational",
"base_model:PocketDoc/Dans-PersonalityEngine-V1.3.0-12b",
"base_model:merge:PocketDoc/Dans-PersonalityEngine-V1.3.0-12b",
"ba... | null | 2026-03-07T03:10:06Z | #
Static Quants:
https://huggingface.co/IggyLux/MN-VelvetCafe-RP... | [] |
nvidia/esm2_t33_650M_UR50D | nvidia | 2026-04-08T03:18:34Z | 1,688 | 3 | transformers | [
"transformers",
"safetensors",
"nv_esm",
"fill-mask",
"custom_code",
"license:mit",
"region:us"
] | fill-mask | 2025-07-30T20:53:47Z | > [!NOTE]
> This model has been optimized using NVIDIA's [TransformerEngine](https://github.com/NVIDIA/TransformerEngine)
> library. Slight numerical differences may be observed between the original model and the optimized
> version. For instructions on how to install TransformerEngine, please refer to the
> [official ... | [] |
ubergarm/Qwen3-Coder-Next-GGUF | ubergarm | 2026-02-26T20:30:25Z | 6,071 | 15 | null | [
"gguf",
"imatrix",
"conversational",
"qwen3_next",
"ik_llama.cpp",
"text-generation",
"base_model:Qwen/Qwen3-Coder-Next",
"base_model:quantized:Qwen/Qwen3-Coder-Next",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-22T18:48:09Z | ## `ik_llama.cpp` imatrix Quantizations of Qwen/Qwen3-Coder-Next
*NOTE* `ik_llama.cpp` can also run your existing GGUFs from bartowski, unsloth, mradermacher, etc if you want to try it out before downloading my quants.
Some of ik's new quants are supported with [Nexesenex/croco.cpp](https://github.com/Nexesenex/croco.... | [] |
Unbabel/M-Prometheus-7B | Unbabel | 2025-05-06T01:35:10Z | 1,385 | 8 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"arxiv:2504.04953",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Instruct",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-04-07T10:58:27Z | <!-- 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. -->
# M-Prometheus
M-Prometheus is a suite of open LLM judges that can natively evaluate multilingual outputs. They were trained on 480... | [
{
"start": 190,
"end": 202,
"text": "M-Prometheus",
"label": "benchmark name",
"score": 0.8059093356132507
},
{
"start": 204,
"end": 216,
"text": "M-Prometheus",
"label": "benchmark name",
"score": 0.8151921033859253
},
{
"start": 1704,
"end": 1712,
"text"... |
Flexan/FoxyzGPT-X1.1-1.7B-GGUF | Flexan | 2026-03-23T21:28:53Z | 410 | 1 | null | [
"gguf",
"text-generation",
"en",
"base_model:Qwen/Qwen3-1.7B",
"base_model:quantized:Qwen/Qwen3-1.7B",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-03-23T21:05:00Z | # GGUF Files for FoxyzGPT-X1.1-1.7B
These are the GGUF files for [Flexan/FoxyzGPT-X1.1-1.7B](https://huggingface.co/Flexan/FoxyzGPT-X1.1-1.7B).
## Downloads
| GGUF Link | Quantization | Description |
| ---- | ----- | ----------- |
| [Download](https://huggingface.co/Flexan/Flexan-FoxyzGPT-X1.1-1.7B-GGUF/resolve/main... | [] |
nightmedia/Qwen3-30B-A3B-Thinking-2507-Claude-4.5-Sonnet-High-Reasoning-Distill-mxfp4-mlx | nightmedia | 2025-11-17T01:21:58Z | 905 | 3 | mlx | [
"mlx",
"safetensors",
"qwen3_moe",
"text-generation",
"text-generation-inference",
"transformers",
"unsloth",
"conversational",
"en",
"dataset:TeichAI/claude-sonnet-4.5-high-reasoning-250x",
"base_model:TeichAI/Qwen3-30B-A3B-Thinking-2507-Claude-4.5-Sonnet-High-Reasoning-Distill",
"base_model:... | text-generation | 2025-11-16T16:14:31Z | # Qwen3-30B-A3B-Thinking-2507-Claude-4.5-Sonnet-High-Reasoning-Distill-mxfp4-mlx
> Reviewed with [nightmedia/Qwen3-Next-80B-A3B-Instruct-512K-11e-qx65n-mlx](https://huggingface.co/nightmedia/Qwen3-Next-80B-A3B-Instruct-512K-11e-qx65n-mlx)
Thank you for this rich and nuanced dataset — it’s a valuable window into how m... | [] |
redrix/GodSlayer-12B-ABYSS | redrix | 2025-01-23T14:14:49Z | 144 | 22 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"12b",
"chat",
"roleplay",
"creative-writing",
"DELLA-linear",
"conversational",
"base_model:ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2",
"base_model:merge:ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2",
"base_m... | text-generation | 2025-01-22T19:20:40Z | # GodSlayer-12B-ABYSS
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
The goal of this model is to remain fairly stable and coherent, while counteracting positivity-bias and improving realism and diverse responses.
Model #12
## Merge Details
### Merge Metho... | [] |
mlabonne/gemma-3-1b-it-abliterated-GGUF | mlabonne | 2025-03-21T16:15:22Z | 1,197 | 11 | transformers | [
"transformers",
"gguf",
"image-text-to-text",
"base_model:google/gemma-3-12b-it",
"base_model:quantized:google/gemma-3-12b-it",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-03-20T22:08:02Z | # 💎 Gemma 3 1B IT Abliterated GGUF
<center><a href="https://huggingface.co/mlabonne/gemma-3-4b-it-abliterated">Gemma 3 4B Abliterated</a> • <a href="https://huggingface.co/mlabonne/gemma-3-12b-it-abl... | [] |
eaddario/Apriel-1.6-15b-Thinker-GGUF | eaddario | 2026-01-02T09:42:09Z | 176 | 2 | null | [
"gguf",
"quant",
"experimental",
"target_bpw",
"image-text-to-text",
"en",
"dataset:eaddario/imatrix-calibration",
"base_model:ServiceNow-AI/Apriel-1.6-15b-Thinker",
"base_model:quantized:ServiceNow-AI/Apriel-1.6-15b-Thinker",
"license:mit",
"endpoints_compatible",
"region:us",
"conversation... | image-text-to-text | 2025-12-27T13:15:45Z | # Experimental global target bits‑per‑weight quantization of ServiceNow-AI/Apriel-1.6-15b-Thinker
Using **non-standard** (forked) [LLaMA C++][llm] release [b7520][llm-rel] for quantization.
Original model: [ServiceNow-AI/Apriel-1.6-15b-Thinker][mdl]
From the original model creators:
> # Summary
>
> **Apriel-1.6-15B-T... | [
{
"start": 208,
"end": 244,
"text": "ServiceNow-AI/Apriel-1.6-15b-Thinker",
"label": "benchmark name",
"score": 0.6322080492973328
},
{
"start": 304,
"end": 326,
"text": "Apriel-1.6-15B-Thinker",
"label": "benchmark name",
"score": 0.6459712386131287
},
{
"start":... |
shreyan35/gemma-4-31B-Claude-4.6-Opus-thinking-distilled-s7 | shreyan35 | 2026-04-09T10:40:13Z | 280 | 2 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"gemma",
"reasoning",
"claude-opus",
"distillation",
"full-finetune",
"llm",
"mlm",
"multimodal",
"video",
"text",
"audio",
"vision",
"conversational",
"en",
"base_model:google/gemma-4-31B-it",
"base_model:finetune:... | image-text-to-text | 2026-04-06T17:11:35Z | # gemma-4-31B-Claude-4.6-Opus-thinking-distilled-s7-multimodal
<div align="center">
<img src="https://huggingface.co/shreyan35/gemma-4-31B-Claude-4.6-Opus-thinking-distilled-s7/resolve/main/banner.jpeg" width="100%" alt="S7 Banner">
</div>
**_This new release now makes this finetune listed and tuned correctly for mu... | [
{
"start": 559,
"end": 562,
"text": "SFT",
"label": "evaluation metric",
"score": 0.642918050289154
},
{
"start": 809,
"end": 817,
"text": "S7 Score",
"label": "evaluation metric",
"score": 0.9610305428504944
},
{
"start": 1044,
"end": 1052,
"text": "S7 Sc... |
mradermacher/Qwen3.5-13B-Strict-Instruct-GGUF | mradermacher | 2026-03-15T06:24:10Z | 1,526 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres",
"story",
"writing",
"viv... | null | 2026-03-15T06:12:11Z | ## 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/gemma-3-270m-it | unsloth | 2025-08-14T16:54:50Z | 25,866 | 22 | transformers | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"gemma3",
"unsloth",
"gemma",
"google",
"conversational",
"arxiv:2503.19786",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:2311.07911",
... | text-generation | 2025-08-13T00:40:40Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/gemma-3-67d12b7e8816ec6efa7e4e5b">our collection</a> for all versions of Gemma 3 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em><a href="https://docs.... | [] |
zerofata/L3.3-GeneticLemonade-Final-v2-70B | zerofata | 2025-06-05T17:40:23Z | 695,320 | 11 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"dataset:zerofata/Roleplay-Anime-Characters",
"dataset:zerofata/Instruct-Anime-CreativeWriting",
"dataset:zerofata/Summaries-Anime-FandomPages",
"base_model:zerofata/L3.3-GeneticLemonade-Final-70B",
"base_model:finetune:z... | text-generation | 2025-06-02T01:47:46Z | <!DOCTYPE html>
<style>
body {
font-family: sans-serif;
color: #f0f0f0;
line-height: 1.6;
margin: 0;
padding: 0;
background-color: #1a0f1a;
}
.lemonade-text {
color: #ff3366;
position: relative;
z-index: 2;
margin-left: 0.2em;
text-shadow: 0 0 10px #ff3366;
}
/* Section styling */
.section-c... | [] |
unsloth/DeepSeek-V3-GGUF | unsloth | 2025-01-12T01:28:57Z | 1,508 | 137 | transformers | [
"transformers",
"gguf",
"deepseek_v3",
"deepseek",
"unsloth",
"en",
"arxiv:2412.19437",
"base_model:deepseek-ai/DeepSeek-V3",
"base_model:quantized:deepseek-ai/DeepSeek-V3",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-01-06T09:27:58Z | ## ***See [our collection](https://huggingface.co/collections/unsloth/deepseek-v3-all-versions-677cf5cfd7df8b7815fc723c) for versions of Deepseek V3 including bf16 and original formats.***
| Quants | Disk Size | Details |
| ------ | ------- | ------- |
| [Q2_K_XS](https://huggingface.co/unsloth/DeepSeek-V3-GGUF/tree/m... | [] |
thebajajra/RexBERT-large | thebajajra | 2026-02-05T02:32:23Z | 151 | 8 | transformers | [
"transformers",
"pytorch",
"safetensors",
"modernbert",
"fill-mask",
"ecommerce",
"e-commerce",
"retail",
"marketplace",
"shopping",
"amazon",
"ebay",
"alibaba",
"google",
"rakuten",
"bestbuy",
"walmart",
"flipkart",
"wayfair",
"shein",
"target",
"etsy",
"shopify",
"tao... | fill-mask | 2025-09-09T00:12:15Z | # RexBERT-large
[](https://www.apache.org/licenses/LICENSE-2.0)
[](https://huggingface.co/collections/thebajajra/rexbert-68cc4b1b8a272f6beae5ebb8)
[![Data](https://img.s... | [] |
diff-interpretation-tuning/loras | diff-interpretation-tuning | 2025-12-13T20:40:21Z | 18,041 | 1 | diff-interpretation-tuning | [
"diff-interpretation-tuning",
"dataset:diff-interpretation-tuning/finetuning-data",
"arxiv:2510.05092",
"base_model:Qwen/Qwen3-4B",
"base_model:adapter:Qwen/Qwen3-4B",
"license:mit",
"region:us"
] | null | 2025-09-03T01:15:50Z | # Diff Interpretation Tuning: Weight Diffs and Adapters
This repository contains the weight diffs and DIT adapters used in the paper [Learning to Interpret Weight Differences in Language Models (Goel et al. 2025)](https://arxiv.org/abs/2510.05092).
To play around with the weight diffs and DIT adapters from the paper, p... | [] |
inclusionAI/UI-Venus-1.5-30B-A3B | inclusionAI | 2026-02-11T05:38:20Z | 3,452 | 23 | transformers | [
"transformers",
"safetensors",
"qwen3_vl_moe",
"image-text-to-text",
"multimodel",
"gui",
"agent",
"conversational",
"arxiv:2602.09082",
"arxiv:2508.10833",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-02-09T07:55:59Z | # UI-Venus-1.5 model
This repository contains the UI-Venus model from the report [UI-Venus-1.5 Technical Report](https://arxiv.org/abs/2602.09082). UI-Venus 1.5 is a unified, end-to-end GUI Agent designed for robust real-world applications. The model family includes two dense (2B/8B) and one MoE (30B-A3B) variants to m... | [
{
"start": 2,
"end": 14,
"text": "UI-Venus-1.5",
"label": "benchmark name",
"score": 0.7360155582427979
},
{
"start": 148,
"end": 160,
"text": "UI-Venus 1.5",
"label": "benchmark name",
"score": 0.7410848140716553
},
{
"start": 697,
"end": 709,
"text": "UI... |
bytedance-research/UMO | bytedance-research | 2025-09-12T07:30:46Z | 114 | 59 | diffusers | [
"diffusers",
"image-generation",
"subject-personalization",
"Diffusion-Transformer",
"text-to-image",
"en",
"arxiv:2509.06818",
"base_model:OmniGen2/OmniGen2",
"base_model:finetune:OmniGen2/OmniGen2",
"license:apache-2.0",
"region:us"
] | text-to-image | 2025-09-08T11:20:04Z | <p align="center">
<img src="https://github.com/bytedance/UMO/raw/main/assets/logo.png" width="100"/>
<p>
<h3 align="center">
UMO: Scaling Multi-Identity Consistency for Image Customization
</br> via Matching Reward
</h3>
<p align="center">
<a href="https://github.com/bytedance/UMO"><img alt="Build" src="http... | [] |
beomi/Llama-3-Open-Ko-8B | beomi | 2024-05-20T05:31:06Z | 7,732 | 160 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-3",
"llama-3-ko",
"conversational",
"en",
"ko",
"arxiv:2310.04799",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-04-22T09:53:13Z | > Update @ 2024.05.20: Re-Upload RoPE fixed model
> Update @ 2024.05.01: Pre-Release [Llama-3-KoEn-8B](https://huggingface.co/beomi/Llama-3-KoEn-8B-preview) model & [Llama-3-KoEn-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-KoEn-8B-Instruct-preview)
> Update @ 2024.04.24: Release Llama-3-Open-Ko-8B model... | [] |
Crownelius/Crow-9B-HERETIC-4.6 | Crownelius | 2026-03-17T08:41:49Z | 72,308 | 236 | null | [
"safetensors",
"gguf",
"qwen3_5",
"agent",
"en",
"zh",
"ru",
"es",
"fr",
"it",
"ja",
"ko",
"af",
"de",
"ar",
"tr",
"is",
"pl",
"sw",
"sv",
"nl",
"he",
"id",
"uk",
"fa",
"pa",
"pt",
"ms",
"fi",
"el",
"dataset:crownelius/Creative_Writing_ShareGPT_Enhanced",
... | null | 2026-03-03T08:14:36Z | 
[](https://opensource.org/licenses/Apache-2.0)
[](https://huggingface.co... | [] |
zhengchong/CatVTON | zhengchong | 2025-01-01T05:10:44Z | 1,682 | 73 | transformers | [
"transformers",
"safetensors",
"arxiv:2407.15886",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-07-21T10:15:16Z | # 🐈 CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
<div style="display: flex; justify-content: center; align-items: center;">
<a href="http://arxiv.org/abs/2407.15886" style="margin: 0 2px;">
<img src='https://img.shields.io/badge/arXiv-2407.15886-red?style=flat&logo=arXiv&logoC... | [
{
"start": 4,
"end": 11,
"text": "CatVTON",
"label": "benchmark name",
"score": 0.7634999752044678
},
{
"start": 394,
"end": 401,
"text": "CatVTON",
"label": "benchmark name",
"score": 0.7035852670669556
},
{
"start": 610,
"end": 617,
"text": "CatVTON",
... |
facebook/musicgen-stereo-melody-large | facebook | 2024-04-24T12:28:06Z | 133 | 68 | transformers | [
"transformers",
"safetensors",
"musicgen_melody",
"text-to-audio",
"musicgen",
"arxiv:2306.05284",
"license:cc-by-nc-4.0",
"region:us"
] | text-to-audio | 2023-10-23T15:01:15Z | # MusicGen - Stereo - Melody - Large 3.3B
We further release a set of stereophonic capable models. Those were fine tuned for 200k updates starting
from the mono models. The training data is otherwise identical and capabilities and limitations are shared with the base modes. The stereo models work by getting 2 streams ... | [] |
VAGOsolutions/SauerkrautLM-Multi-Reason-ModernColBERT | VAGOsolutions | 2025-08-03T00:11:52Z | 289 | 10 | PyLate | [
"PyLate",
"safetensors",
"modernbert",
"ColBERT",
"sentence-transformers",
"sentence-similarity",
"feature-extraction",
"multilingual",
"late-interaction",
"retrieval",
"bright",
"loss:Distillation",
"arxiv:1908.10084",
"base_model:VAGOsolutions/SauerkrautLM-Multi-ModernColBERT",
"base_m... | sentence-similarity | 2025-07-21T11:43:55Z | <img src="https://vago-solutions.ai/wp-content/uploads/2025/08/SauerkrautLM-Multi-Reason-ModernColBERT.png" width="500" height="auto">
# SauerkrautLM-Multi-Reason-ModernColBERT
This model is the first publicly available Late Interaction retriever that integrates:
Knowledge Distillation from strong synthetic data (20... | [] |
Intel/Qwen3-Coder-30B-A3B-Instruct-gguf-q2ks-mixed-AutoRound | Intel | 2025-10-13T05:40:09Z | 414 | 31 | null | [
"gguf",
"dataset:codeparrot/github-code-clean",
"arxiv:2309.05516",
"base_model:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-04T04:33:48Z | ## Model Details
This model is a mixed gguf q2ks format of [Qwen/Qwen3-Coder-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen/Qwen3-Coder-30B-A3B-Instruct) generated by [intel/auto-round](https://github.com/intel/auto-round) algorithm. Embedding layer and lm-head layer are fallback to 8 bits and non expert layers... | [] |
AxionLab-Co/MiniAxion1-0.9M | AxionLab-Co | 2026-04-09T00:33:49Z | 611 | 1 | null | [
"nrm",
"nano",
"reasoning",
"thinking",
"sub-1m",
"lowparams",
"custom_code",
"text-generation",
"en",
"license:mit",
"region:us"
] | text-generation | 2026-04-02T02:09:28Z | # 🧠 MiniAxion1-0.9M
**MiniAxion1-0.9M** is a Nano Reasoning Model (NRM) with ~920K parameters designed to explore the emergence of structured reasoning in extremely small neural networks.
Despite its minimal size, the model demonstrates strong consistency in reasoning format and step-based thinking using explicit `<... | [] |
bartowski/allura-forge_Llama-3.3-8B-Instruct-GGUF | bartowski | 2025-12-30T03:05:16Z | 2,556 | 27 | null | [
"gguf",
"text-generation",
"base_model:allura-forge/Llama-3.3-8B-Instruct",
"base_model:quantized:allura-forge/Llama-3.3-8B-Instruct",
"license:llama3.3",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-12-30T02:40:02Z | ## Llamacpp imatrix Quantizations of Llama-3.3-8B-Instruct by allura-forge
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/b7545">b7545</a> for quantization.
Original model: https://huggingface.co/allura-forge/Llama-3.3-8B-Instru... | [] |
facebook/sam2.1-hiera-small | facebook | 2025-08-15T21:18:57Z | 5,787 | 15 | transformers | [
"transformers",
"safetensors",
"sam2_video",
"feature-extraction",
"mask-generation",
"arxiv:2408.00714",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | mask-generation | 2024-09-24T01:49:48Z | Repository for SAM 2: Segment Anything in Images and Videos, a foundation model towards solving promptable visual segmentation in images and videos from FAIR. See the [SAM 2 paper](https://arxiv.org/abs/2408.00714) for more information.
The official code is publicly release in this [repo](https://github.com/facebookre... | [] |
cerebras/GLM-4.5-Air-REAP-82B-A12B | cerebras | 2025-10-21T20:28:42Z | 484 | 109 | transformers | [
"transformers",
"safetensors",
"glm4_moe",
"text-generation",
"glm",
"MOE",
"pruning",
"compression",
"conversational",
"en",
"arxiv:2510.13999",
"base_model:zai-org/GLM-4.5-Air",
"base_model:finetune:zai-org/GLM-4.5-Air",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-10-20T15:44:06Z | <p align="center">
<em>𓌳 <strong>REAP</strong>𓌳 the Experts: Why Pruning Prevails for One-Shot MoE Compression</em><br>
<img src="https://i.imgur.com/rmzG3gg.png" alt="REAP" width="75%">
</p>
# GLM-4.5-Air-REAP-82B-A12B
## ✨ Highlights
Introducing **GLM-4.5-Air-REAP-82B-A12B**, a **memory-efficient compressed... | [] |
nightmedia/Qwen3.5-27B-HERETIC-Polaris-Advanced-Thinking-Alpha-uncensored-mxfp4-mlx | nightmedia | 2026-03-08T22:50:30Z | 3,477 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"unsloth",
"heretic",
"uncensored",
"abliterated",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fictio... | image-text-to-text | 2026-03-02T16:03:43Z | # Qwen3.5-27B-HERETIC-Polaris-Advanced-Thinking-Alpha-uncensored-mxfp4-mlx
Brainwaves from the non-Heretic model shown
```brainwaves
arc arc/e boolq hswag obkqa piqa wino
mxfp4 0.473,0.548,0.709,0.728,0.396,0.777,0.753
Quant Perplexity Peak Memory
qx64-hi 3.931 ± 0.025 26.62 GB
```
Simi... | [] |
KPF/KPF-bert-ner | KPF | 2024-04-03T04:44:41Z | 10,713 | 8 | transformers | [
"transformers",
"pytorch",
"bert",
"token-classification",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | token-classification | 2023-07-04T07:48:49Z | # KPF-BERT-NER
- 빅카인즈랩 인사이드 메뉴의 개체명 분석에서 사용된 개체명 인식 모델이다.
- 사용 방법에 대한 안내 및 코드는 [KPF-bigkinds github](https://github.com/KPF-bigkinds/BIGKINDS-LAB/tree/main/KPF-BERT-NER)에서 확인할 수 있습니다.
## 모델 소개
### KPF-BERT-NER
한국언론진흥재단이 개발한 kpf-BERT 모델을 기반으로 NER(Named Entity Recognition) task를 수행할 수 있는 kpf-BERT-ner 모델을 설계 및 개발한다. ... | [] |
mradermacher/ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking-i1-GGUF | mradermacher | 2026-02-22T14:51:09Z | 1,239 | 10 | transformers | [
"transformers",
"gguf",
"mixture of experts",
"moe",
"64 experts",
"uncensored",
"unsloth",
"finetune",
"All use cases",
"bfloat16",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
... | null | 2026-02-22T09:15:29Z | ## 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": 643,
"end": 694,
"text": "ERNIE-21B-A3B-Claude-4.5-High-OPUS-Thinking-i1-GGUF",
"label": "benchmark name",
"score": 0.6478535532951355
}
] |
KRAFTON/Raon-Speech-9B-FP8 | KRAFTON | 2026-04-07T09:42:37Z | 335 | 7 | transformers | [
"transformers",
"safetensors",
"raon",
"feature-extraction",
"speech",
"audio",
"multimodal",
"any-to-any",
"custom_code",
"en",
"ko",
"license:cc-by-nc-4.0",
"compressed-tensors",
"region:us"
] | any-to-any | 2026-04-01T16:04:43Z | # Raon-Speech-9B-FP8
<div align="center">
<img class="block dark:hidden" src="assets/Raon-Speech-Gradient-Black.png" alt="Raon-Speech Logo" width="400">
<img class="hidden dark:block" src="assets/Raon-Speech-Gradient-White.png" alt="Raon-Speech Logo" width="400">
</div>
<p align="center">
<a href="https://www.k... | [] |
AEON-7/Gemma-4-E4B-it-Uncensored-NVFP4 | AEON-7 | 2026-05-01T06:44:06Z | 2,185 | 2 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"gemma",
"google",
"eagle",
"speculative-decoding",
"drafter",
"e4b",
"nvfp4",
"fp4",
"4-bit",
"quantized",
"modelopt",
"awq",
"uncensored",
"abliterated",
"moe",
"mixture-of-experts",
"vision",
"multimodal",
... | text-generation | 2026-04-13T20:43:40Z | # Gemma 4 E4B Uncensored NVFP4
EAGLE speculative decoding drafter for [Gemma 4 26B-A4B Uncensored (TrevorJS)](https://huggingface.co/TrevorJS/gemma-4-26B-A4B-it-uncensored) — a 42-layer E4B (EAGLE for Blackwell) model quantized to NVFP4 AWQ using NVIDIA ModelOpt 0.42.0.
Designed for EAGLE-based speculative decoding o... | [] |
facebook/metaclip-2-worldwide-l14 | facebook | 2025-11-12T04:07:19Z | 1,022 | 12 | transformers | [
"transformers",
"safetensors",
"metaclip_2",
"zero-shot-image-classification",
"clip",
"multilingual",
"arxiv:2507.22062",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2025-11-12T03:44:59Z | # Model Card for Distilled MetaCLIP 2 ViT-L/14 (worldwide)
Distilled MetaCLIP 2 (worldwide) was presented in [MetaCLIP 2: A Worldwide Scaling Recipe](https://huggingface.co/papers/2507.22062).
This checkpoint corresponds to "ViT-L-14-worldwide" of the [original implementation](https://github.com/facebookresearch/Meta... | [] |
unsloth/embeddinggemma-300m-GGUF | unsloth | 2025-09-04T16:58:33Z | 7,590 | 51 | sentence-transformers | [
"sentence-transformers",
"gguf",
"sentence-similarity",
"feature-extraction",
"text-embeddings-inference",
"base_model:google/embeddinggemma-300m",
"base_model:quantized:google/embeddinggemma-300m",
"license:gemma",
"endpoints_compatible",
"region:us"
] | sentence-similarity | 2025-09-04T16:42:55Z | # EmbeddingGemma model card
**Model Page**: [EmbeddingGemma](https://ai.google.dev/gemma/docs/embeddinggemma)
**Resources and Technical Documentation**:
* [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)
* [EmbeddingGemma on Kaggle](https://www.kaggle.com/models/google/embeddinggemma/)
* ... | [] |
sd2-community/stable-diffusion-2 | sd2-community | 2025-11-15T10:20:16Z | 1,815 | 5 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion",
"text-to-image",
"arxiv:2202.00512",
"arxiv:2112.10752",
"arxiv:1910.09700",
"license:openrail++",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | 2025-11-15T10:17:55Z | # Stable Diffusion v2 Model Card
### ⚠️ This repository is a mirror of the now deprecated `stabilityai/stable-diffusion-2`, this repository and organization are not affiliated in any way with Stability AI.
This model card focuses on the model associated with the Stable Diffusion v2 model, available [here](https://git... | [] |
ReadyArt/Brisk-Evolution-12B-v0.1-GGUF | ReadyArt | 2026-03-24T18:12:04Z | 1,494 | 1 | null | [
"gguf",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"Other License",
"base_model:ReadyArt/Brisk-Evolution-12B-v0.1",
"base_model:quantized:ReadyArt/Brisk-Evolution-12B-v0.1",
"license:llama3.1",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-23T12:01:21Z | <style>
body {
font-family: 'Quicksand', sans-serif;
background-color: #222; /* Lighter dark background */
color: #e0e0e0; /* Off-white text for better contrast */
text-shadow: 0 0 3px rgba(0, 0, 0, 0.5); /* Softer text shadow */
margin: 0;
padding: 20px;
transition: all 0.5s ease;
}
@media ... | [] |
mradermacher/sukuma-voices-tts-GGUF | mradermacher | 2026-02-04T11:56:52Z | 194 | 1 | transformers | [
"transformers",
"gguf",
"text-to-speech",
"tts",
"sukuma",
"african-languages",
"bantu",
"tanzania",
"low-resource",
"orpheus",
"speech-synthesis",
"audio-generation",
"suk",
"base_model:sartifyllc/sukuma-voices-tts",
"base_model:quantized:sartifyllc/sukuma-voices-tts",
"license:cc-by-... | text-to-speech | 2026-02-04T11:14:51Z | ## 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... | [] |
lmstudio-community/Ministral-3-3B-Reasoning-2512-GGUF | lmstudio-community | 2025-12-02T18:27:48Z | 2,686 | 1 | null | [
"gguf",
"base_model:mistralai/Ministral-3-3B-Reasoning-2512",
"base_model:quantized:mistralai/Ministral-3-3B-Reasoning-2512",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-02T16:33:39Z | ## 💫 Community Model> Ministral-3-3B-Reasoning-2512 by mistralai
*👾 [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**: [mistralai](https://huggingface.co/m... | [] |
microsoft/tapex-base | microsoft | 2023-05-03T03:48:52Z | 1,569 | 49 | transformers | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"tapex",
"table-question-answering",
"en",
"arxiv:2107.07653",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | table-question-answering | 2022-03-02T23:29:05Z | # TAPEX (base-sized model)
TAPEX was proposed in [TAPEX: Table Pre-training via Learning a Neural SQL Executor](https://arxiv.org/abs/2107.07653) by Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou. The original repo can be found [here](https://github.com/microsoft/Table-Pretrainin... | [] |
unsloth/Qwen3-VL-30B-A3B-Instruct-1M-GGUF | unsloth | 2025-11-02T03:45:25Z | 7,620 | 4 | null | [
"gguf",
"unsloth",
"image-text-to-text",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-30B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-30B-A3B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
... | image-text-to-text | 2025-11-02T02:08:46Z | > [!NOTE]
> Includes Unsloth **chat template fixes**! <br> For `llama.cpp`, use `--jinja`
>
<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>
... | [] |
huihui-ai/Huihui-GLM-4.5-Air-abliterated-GGUF | huihui-ai | 2025-12-06T14:18:51Z | 340 | 46 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"GGUF",
"text-generation",
"en",
"zh",
"base_model:zai-org/GLM-4.5-Air",
"base_model:quantized:zai-org/GLM-4.5-Air",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-08-15T08:39:48Z | # huihui-ai/Huihui-GLM-4.5-Air-abliterated-GGUF
This is an uncensored version of [zai-org/GLM-4.5-Air](https://huggingface.co/zai-org/GLM-4.5-Air) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
This is a crude,... | [] |
RedHatAI/Kimi-K2-Instruct-quantized.w4a16 | RedHatAI | 2026-04-28T22:27:27Z | 642 | 12 | null | [
"safetensors",
"deepseek_v3",
"kimi-k2",
"MOE",
"neuralmagic",
"redhat",
"llmcompressor",
"quantized",
"INT4",
"GPTQ",
"conversational",
"compressed-tensors",
"text-generation",
"custom_code",
"en",
"base_model:moonshotai/Kimi-K2-Instruct",
"base_model:quantized:moonshotai/Kimi-K2-In... | text-generation | 2025-07-15T16:33:05Z | <h1 style="display: flex; align-items: center; gap: 10px; margin: 0;">
Kimi-K2-Instruct-quantized.w4a16
<img src="https://www.redhat.com/rhdc/managed-files/Catalog-Validated_model_0.png" alt="Model Icon" width="40" style="margin: 0; padding: 0;" />
</h1>
<a href="https://www.redhat.com/en/products/ai/validated-m... | [] |
mradermacher/L3.1-MS-Astoria-70b-v2-heretic-i1-GGUF | mradermacher | 2026-03-10T06:07:47Z | 21,801 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:sh0ck0r/L3.1-MS-Astoria-70b-v2-heretic",
"base_model:quantized:sh0ck0r/L3.1-MS-Astoria-70b-v2-heretic",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-07T13:45:15Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
neuphonic/neutts-nano-spanish-q4-gguf | neuphonic | 2026-02-12T15:41:23Z | 268 | 6 | null | [
"gguf",
"text-to-speech",
"es",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix"
] | text-to-speech | 2026-02-10T16:54:22Z | # NeuTTS Nano Spanish
[](https://youtu.be/mvgkxumjMfg)
[🚀 Spaces Demo](https://huggingface.co/spaces/neuphonic/neutts-nano-multilingual-collection), [🔧 Github](https://github.com/neuphonic/neutts)
[Torch version](https://huggingface.co/neuphonic/neutts-nano-spa... | [] |
opensearch-project/opensearch-neural-sparse-encoding-multilingual-v1 | opensearch-project | 2025-06-30T06:25:02Z | 12,317 | 18 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"bert",
"fill-mask",
"learned sparse",
"opensearch",
"transformers",
"retrieval",
"passage-retrieval",
"document-expansion",
"bag-of-words",
"sparse-encoder",
"sparse",
"asymmetric",
"inference-free",
"splade",
"feature-extraction",
"en",
"... | feature-extraction | 2025-02-21T08:27:21Z | # opensearch-neural-sparse-encoding-multilingual-v1
## Select the model
The model should be selected considering search relevance, model inference and retrieval efficiency(FLOPS). We benchmark models' performance on **MIRACL** benchmark (we exclude th since the uncased backbone can not encode it).
**We recommend to us... | [
{
"start": 219,
"end": 225,
"text": "MIRACL",
"label": "benchmark name",
"score": 0.8159950971603394
},
{
"start": 430,
"end": 435,
"text": "FLOPS",
"label": "evaluation metric",
"score": 0.6938658356666565
}
] |
bartowski/ibm-granite_granite-4.0-micro-GGUF | bartowski | 2025-10-02T14:44:52Z | 847 | 1 | null | [
"gguf",
"text-generation",
"base_model:ibm-granite/granite-4.0-micro",
"base_model:quantized:ibm-granite/granite-4.0-micro",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-02T14:24:22Z | ## Llamacpp imatrix Quantizations of granite-4.0-micro by ibm-granite
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/b6647">b6647</a> for quantization.
Original model: https://huggingface.co/ibm-granite/granite-4.0-micro
All qu... | [] |
bartowski/LGAI-EXAONE_EXAONE-4.0.1-32B-GGUF | bartowski | 2025-08-17T21:59:35Z | 461 | 2 | null | [
"gguf",
"text-generation",
"base_model:LGAI-EXAONE/EXAONE-4.0.1-32B",
"base_model:quantized:LGAI-EXAONE/EXAONE-4.0.1-32B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-08-17T19:50:08Z | ## Llamacpp imatrix Quantizations of EXAONE-4.0.1-32B by LGAI-EXAONE
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b6182">b6182</a> for quantization.
Original model: https://huggingface.co/LGAI-EXAONE/EXAONE-4.0.1-32B
All qu... | [] |
tencent/Hunyuan-MT-7B | tencent | 2025-12-30T03:07:28Z | 4,135 | 553 | transformers | [
"transformers",
"safetensors",
"hunyuan_v1_dense",
"text-generation",
"translation",
"endpoints_compatible",
"region:us"
] | translation | 2025-08-28T09:51:39Z | <p align="center">
<img src="https://dscache.tencent-cloud.cn/upload/uploader/hunyuan-64b418fd052c033b228e04bc77bbc4b54fd7f5bc.png" width="400"/> <br>
</p><p></p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/tencent/hunyuan-mt-68b42f76d473f82798882597"><b>Hugging Face</b></a>  ... | [] |
pytorch/gemma-3-27b-it-FP8 | pytorch | 2025-10-17T21:25:47Z | 3,590 | 3 | transformers | [
"transformers",
"pytorch",
"gemma3",
"image-text-to-text",
"torchao",
"conversational",
"en",
"arxiv:2507.16099",
"base_model:google/gemma-3-27b-it",
"base_model:quantized:google/gemma-3-27b-it",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-08-27T22:19:42Z | # FP8 google/gemma-3-27b-it model
- **Developed by:** pytorch
- **License:** apache-2.0
- **Quantized from Model :** google/gemma-3-27b-it
- **Quantization Method :** FP8
- **Terms of Use**: [Terms][terms]
# Inference with vLLM
Install vllm nightly and torchao nightly to get some recent changes:
```
pip install vllm... | [] |
mradermacher/Celeste-12B-heretic-i1-GGUF | mradermacher | 2026-02-11T13:09:43Z | 228 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"dataset:nothingiisreal/c2-logs-cleaned",
"dataset:kalomaze/Opus_Instruct_25k",
"dataset:nothingiisreal/Reddit-Dirty-And-WritingPrompts",
"base_model:DogOnKeyboard/Celeste-12B-heretic",
"base_model:quantized:Do... | null | 2026-02-11T07:26:38Z | ## 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_... | [
{
"start": 625,
"end": 652,
"text": "Celeste-12B-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.7309101819992065
},
{
"start": 726,
"end": 750,
"text": "Celeste-12B-heretic-GGUF",
"label": "benchmark name",
"score": 0.6043806672096252
},
{
"start": 1211,
... |
tokyotech-llm/Qwen3-Swallow-8B-SFT-v0.2 | tokyotech-llm | 2026-02-23T11:52:02Z | 3,885 | 5 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"en",
"ja",
"dataset:tokyotech-llm/swallow-math-v2",
"dataset:tokyotech-llm/swallow-code-v2",
"dataset:tokyotech-llm/Swallow-Nemotron-Post-Training-Dataset-v1",
"dataset:tokyotech-llm/lmsys-chat-1m-synth",
"arxiv:2505... | text-generation | 2026-01-01T11:56:37Z | # Qwen3-Swallow
**Qwen3-Swallow v0.2** is a family of large language models available in **8B**, **30B-A3B**, and **32B** parameter sizes. Built as bilingual Japanese-English models, they were developed through Continual Pre-Training (CPT), Supervised Fine-Tuning (SFT), and Reinforcement ... | [] |
mradermacher/OmniTranslate-1.1-GGUF | mradermacher | 2026-04-08T21:16:22Z | 273 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"translation",
"unsloth",
"qwen3",
"omnitranslate",
"abk",
"abq",
"abs",
"acm",
"adh",
"adi",
"ady",
"aeb",
"afr",
"agx",
"aii",
"aim",
"ain",
"ajz",
"akb",
"aln",
"als",
"alt",
"amh",
"anp",
"aoz",
"apc",
... | translation | 2026-04-08T21:03:45Z | ## 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/Llama-3.3-8B-Instruct-128K_Abliterated-i1-GGUF | mradermacher | 2026-01-06T04:00:13Z | 8,541 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:SicariusSicariiStuff/Llama-3.3-8B-Instruct-128K_Abliterated",
"base_model:quantized:SicariusSicariiStuff/Llama-3.3-8B-Instruct-128K_Abliterated",
"license:llama3.3",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-05T18:26:04Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
Intel/MiniMax-M2.5-int4-AutoRound | Intel | 2026-02-25T04:05:31Z | 2,872 | 11 | null | [
"safetensors",
"minimax_m2",
"text-generation",
"conversational",
"custom_code",
"arxiv:2309.05516",
"base_model:MiniMaxAI/MiniMax-M2.5",
"base_model:quantized:MiniMaxAI/MiniMax-M2.5",
"4-bit",
"auto-round",
"region:us"
] | text-generation | 2026-02-15T10:46:23Z | ## Model Details
This model is an int4 model with group_size 128 and symmetric quantization of [MiniMaxAI/MiniMax-M2.5](https://huggingface.co/MiniMaxAI/MiniMax-M2.5) generated by [intel/auto-round](https://github.com/intel/auto-round). Please follow the license of the original model.
## How to Use
### Environment
... | [] |
XCurOS/XCurOS-0.1-8B-Instruct | XCurOS | 2026-03-14T15:36:49Z | 165,568 | 4 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"instruct",
"llm",
"secure",
"enterprise",
"on-premise",
"conversational",
"en",
"ar",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-28T13:22:55Z | # XCurOS-0.1-8B-Instruct
## XCurOS Secure Instruction Model
**XCurOS-0.1-8B-Instruct** is a proprietary large language model developed exclusively by XCurOS.
It delivers advanced natural language understanding, reasoning, and instruction-following capabilities, designed for secure enterprise and on-premise environme... | [] |
katanemo/Arch-Router-1.5B.gguf | katanemo | 2026-04-02T13:02:45Z | 219 | 13 | transformers | [
"transformers",
"gguf",
"text-generation",
"en",
"arxiv:2506.16655",
"base_model:Qwen/Qwen2.5-1.5B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-1.5B-Instruct",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-05-30T18:18:40Z | # katanemo/Arch-Router-1.5B
## Overview
With the rapid proliferation of large language models (LLMs) -- each optimized for different strengths, style, or latency/cost profile -- routing has become an essential technique to operationalize the use of different models. However, existing LLM routing approaches are limite... | [
{
"start": 371,
"end": 381,
"text": "benchmarks",
"label": "benchmark name",
"score": 0.7215957045555115
},
{
"start": 437,
"end": 467,
"text": "subjective evaluation criteria",
"label": "evaluation metric",
"score": 0.8292165994644165
}
] |
mradermacher/Qwen2.5-Coder-1.5B-Unsensored-DPO-i1-GGUF | mradermacher | 2026-02-04T11:25:19Z | 1,309 | 1 | transformers | [
"transformers",
"gguf",
"trl",
"dpo",
"en",
"base_model:timhoek/Qwen2.5-Coder-1.5B-Unsensored-DPO",
"base_model:quantized:timhoek/Qwen2.5-Coder-1.5B-Unsensored-DPO",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-04T10:08:06Z | ## 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": 633,
"end": 674,
"text": "Qwen2.5-Coder-1.5B-Unsensored-DPO-i1-GGUF",
"label": "benchmark name",
"score": 0.6762912273406982
},
{
"start": 748,
"end": 786,
"text": "Qwen2.5-Coder-1.5B-Unsensored-DPO-GGUF",
"label": "benchmark name",
"score": 0.6246369481086731
... |
pytorch/gemma-3-12b-it-AWQ-INT4 | pytorch | 2025-10-11T01:52:11Z | 1,795 | 1 | transformers | [
"transformers",
"pytorch",
"gemma3",
"image-text-to-text",
"torchao",
"conversational",
"en",
"arxiv:2507.16099",
"base_model:google/gemma-3-12b-it",
"base_model:quantized:google/gemma-3-12b-it",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-09-25T02:12:01Z | # AWQ-INT4 google/gemma-3-12b-it model
- **Developed by:** pytorch
- **License:** apache-2.0
- **Quantized from Model :** google/gemma-3-12b-it
- **Quantization Method :** AWQ-INT4
- **Terms of Use**: [Terms][terms]
Calibrated with 30 samples of `mmlu_philosophy`, got eval accuracy of 76.85, while gemma-3-12b-it-IN... | [] |
mradermacher/Qwen3-VL-32B-Instruct-uncensored-heretic-i1-GGUF | mradermacher | 2026-04-19T14:41:45Z | 4,986 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"en",
"base_model:llmfan46/Qwen3-VL-32B-Instruct-uncensored-heretic",
"base_model:quantized:llmfan46/Qwen3-VL-32B-Instruct-uncensored-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"i... | null | 2026-04-17T14:29:41Z | ## 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_... | [] |
OpenMed/OpenMed-NER-OncologyDetect-SuperClinical-434M | OpenMed | 2025-08-05T09:31:18Z | 130,071 | 9 | transformers | [
"transformers",
"safetensors",
"deberta-v2",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"cancer-genetics",
"oncology",
"gene-regulation",
"cancer-research",
"amino_acid",
"anatomical_system",
"cancer",
"cell",
"cellular_component",
"developing_anatomical_stru... | token-classification | 2025-07-16T18:40:33Z | # 🧬 [OpenMed-NER-OncologyDetect-SuperClinical-434M](https://huggingface.co/OpenMed/OpenMed-NER-OncologyDetect-SuperClinical-434M)
**Specialized model for Cancer Genetics - Cancer-related genetic entities**
[](https://opensource.org/licenses/Apache... | [
{
"start": 1379,
"end": 1398,
"text": "clinical benchmarks",
"label": "benchmark name",
"score": 0.6906779408454895
}
] |
zai-org/GLM-4.5V-FP8 | zai-org | 2025-10-25T13:20:44Z | 17,630 | 42 | transformers | [
"transformers",
"safetensors",
"glm4v_moe",
"image-text-to-text",
"conversational",
"zh",
"en",
"arxiv:2507.01006",
"base_model:zai-org/GLM-4.5-Air-Base",
"base_model:quantized:zai-org/GLM-4.5-Air-Base",
"license:mit",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | image-text-to-text | 2025-08-10T13:41:24Z | # GLM-4.5V-FP8
<div align="center">
<img src=https://raw.githubusercontent.com/zai-org/GLM-V/refs/heads/main/resources/logo.svg width="40%"/>
</div>
<p align="center">
👋 Join our <a href="https://discord.com/invite/8cnQKdAprg" target="_blank">Discord</a> communities.
<br>
📖 Check out the <a href="https:/... | [
{
"start": 2,
"end": 14,
"text": "GLM-4.5V-FP8",
"label": "benchmark name",
"score": 0.8116847276687622
},
{
"start": 88,
"end": 93,
"text": "GLM-V",
"label": "benchmark name",
"score": 0.6938462257385254
},
{
"start": 479,
"end": 487,
"text": "glm-4.5v",
... |
mradermacher/Koto-Small-7B-IT-ThonkTokens-i1-GGUF | mradermacher | 2025-12-07T23:41:50Z | 162 | 1 | transformers | [
"transformers",
"gguf",
"writing",
"creative-writing",
"roleplay",
"en",
"base_model:allura-forge/Koto-Small-7B-IT-ThonkTokens",
"base_model:quantized:allura-forge/Koto-Small-7B-IT-ThonkTokens",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-22T13:30:43Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill-v2-heretic-GGUF | mradermacher | 2026-03-14T13:37:10Z | 2,167 | 4 | transformers | [
"transformers",
"gguf",
"en",
"base_model:ayunami2000/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill-v2-heretic",
"base_model:quantized:ayunami2000/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill-v2-heretic",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-11T18:50:46Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
google/bert_uncased_L-4_H-256_A-4 | google | 2021-05-19T17:30:27Z | 49,730 | 14 | transformers | [
"transformers",
"pytorch",
"jax",
"bert",
"arxiv:1908.08962",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05Z | BERT Miniatures
===
This is the set of 24 BERT models referenced in [Well-Read Students Learn Better: On the Importance of Pre-training Compact Models](https://arxiv.org/abs/1908.08962) (English only, uncased, trained with WordPiece masking).
We have shown that the standard BERT recipe (including model architecture a... | [] |
mradermacher/Qwen3.5-35B-A3B-heretic-Opus-4.6-Distilled-i1-GGUF | mradermacher | 2026-03-16T18:00:05Z | 11,251 | 5 | transformers | [
"transformers",
"gguf",
"qwen3_5_moe",
"heretic",
"abliterated",
"uncensored",
"reasoning",
"distillation",
"unsloth",
"qwen3.5",
"Mixture of Experts",
"en",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:TeichAI/claude-4.5-opus-high-reasoning-250x",
"dataset:Jackrong/Qwen... | null | 2026-03-16T13:55:42Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 643,
"end": 693,
"text": "Qwen3.5-35B-A3B-heretic-Opus-4.6-Distilled-i1-GGUF",
"label": "benchmark name",
"score": 0.6760690808296204
},
{
"start": 767,
"end": 814,
"text": "Qwen3.5-35B-A3B-heretic-Opus-4.6-Distilled-GGUF",
"label": "benchmark name",
"score": 0... |
manycore-research/SpatialLM-Llama-1B | manycore-research | 2025-03-21T05:38:34Z | 125 | 993 | transformers | [
"transformers",
"safetensors",
"spatiallm_llama",
"text-generation",
"conversational",
"base_model:meta-llama/Llama-3.2-1B-Instruct",
"base_model:finetune:meta-llama/Llama-3.2-1B-Instruct",
"license:llama3.2",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-03-14T04:32:01Z | # SpatialLM-Llama-1B
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<picture>
<source srcset="https://cdn-uploads.huggingface.co/production/uploads/63efbb1efc92a63ac81126d0/_dK14CT3do8rBG3QrHUjN.png" media="(p... | [] |
arcee-ai/AFM-4.5B | arcee-ai | 2025-09-17T17:54:56Z | 1,264 | 96 | transformers | [
"transformers",
"safetensors",
"arcee",
"text-generation",
"conversational",
"en",
"es",
"fr",
"de",
"it",
"pt",
"ru",
"ar",
"hi",
"ko",
"zh",
"arxiv:2410.06511",
"base_model:arcee-ai/AFM-4.5B-Base",
"base_model:finetune:arcee-ai/AFM-4.5B-Base",
"license:apache-2.0",
"endpoin... | text-generation | 2025-07-29T15:04:18Z | <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
AFM-4.5B is a 4.5 billion parameter instruction-tuned model developed by Arcee.ai, designed for e... | [
{
"start": 213,
"end": 221,
"text": "AFM-4.5B",
"label": "benchmark name",
"score": 0.6583265066146851
},
{
"start": 223,
"end": 231,
"text": "AFM-4.5B",
"label": "benchmark name",
"score": 0.6756173968315125
}
] |
mradermacher/aidc-llm-laos-12b-i1-GGUF | mradermacher | 2026-03-08T10:33:39Z | 6,265 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"lo",
"dataset:Phonepadith/laos-long-content",
"base_model:AIDC-LAOS/aidc-llm-laos-12b",
"base_model:quantized:AIDC-LAOS/aidc-llm-laos-12b",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-06T13:35:23Z | ## 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": 645,
"text": "aidc-llm-laos-12b-i1-GGUF",
"label": "benchmark name",
"score": 0.6553351879119873
},
{
"start": 863,
"end": 885,
"text": "aidc-llm-laos-12b-GGUF",
"label": "benchmark name",
"score": 0.6122207641601562
},
{
"start": 1389,
... |
prithivMLmods/LightOnOCR-2-1B-f32-GGUF | prithivMLmods | 2026-02-08T06:48:10Z | 286 | 1 | transformers | [
"transformers",
"gguf",
"ocr",
"document-understanding",
"vision-language",
"pdf",
"tables",
"forms",
"llama.cpp",
"image-text-to-text",
"en",
"fr",
"de",
"es",
"it",
"nl",
"pt",
"sv",
"da",
"zh",
"ja",
"base_model:lightonai/LightOnOCR-2-1B",
"base_model:quantized:lighton... | image-text-to-text | 2026-02-06T10:21:16Z | # **LightOnOCR-2-1B-f32-GGUF**
> LightOnOCR-2-1B from lightonai is LightOn's flagship 1B-parameter end-to-end vision-language OCR model—the recommended variant for most tasks—refined via RLVR training on a 2.5x scaled 43M-page corpus with enhanced French, arXiv, scan, and LaTeX coverage for converting PDFs, scans, and... | [
{
"start": 502,
"end": 510,
"text": "83.2±0.9",
"label": "evaluation metric",
"score": 0.7067133188247681
},
{
"start": 514,
"end": 526,
"text": "OlmOCR-Bench",
"label": "benchmark name",
"score": 0.8567206263542175
}
] |
mradermacher/Qwen2.5-Coder-3B-Ilograph-Instruct-GGUF | mradermacher | 2026-03-11T04:20:11Z | 924 | 1 | transformers | [
"transformers",
"gguf",
"qwen2.5",
"sft",
"ilograph",
"en",
"dataset:Brigham-Young-University/Ilograph_dataset",
"base_model:Brigham-Young-University/Qwen2.5-Coder-3B-Ilograph-Instruct",
"base_model:quantized:Brigham-Young-University/Qwen2.5-Coder-3B-Ilograph-Instruct",
"license:mit",
"endpoints... | null | 2026-03-06T01:50:08Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled | Jackrong | 2026-04-06T02:20:53Z | 539,356 | 2,355 | null | [
"safetensors",
"qwen3_5",
"unsloth",
"qwen",
"qwen3.5",
"reasoning",
"chain-of-thought",
"Dense",
"image-text-to-text",
"conversational",
"en",
"zh",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"base_model:Qwen/Qwen3.5-27B",
"base_mod... | image-text-to-text | 2026-02-27T08:08:29Z | # 🌟 Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled
🔥 **Update (April 5):** I’ve released the complete training notebook, codebase, and a comprehensive PDF guide to help beginners and enthusiasts understand and reproduce this model's fine-tuning process.
> ❤️ Special thanks to the [**Unsloth**](https://unsloth.ai)... | [] |
JayLL13/VoxCPM-1.5-VN | JayLL13 | 2026-03-21T15:31:23Z | 619 | 17 | null | [
"safetensors",
"text-to-audio",
"vi",
"dataset:JayLL13/vivoice-relabeled",
"base_model:openbmb/VoxCPM1.5",
"base_model:finetune:openbmb/VoxCPM1.5",
"license:cc-by-sa-4.0",
"region:us"
] | text-to-audio | 2025-12-19T02:22:05Z | # VoxCPM-1.5B-VN
Checkpoint TTS đã được training với dataset 1000h tiếng Việt: [JayLL13/vivoice-relabeled](https://huggingface.co/datasets/JayLL13/vivoice-relabeled)
<br>Audio sample rate: 44.1 kHz.
<br>Checkpoint at itter 100 000.
<br>Device: NVIDIA RTX5090
## Demo
> [!NOTE]
> Try the demo: [VoxCPM-VN-Demo](https:/... | [] |
tvall43/Qwen3.5-0.8B-heretic-gguf | tvall43 | 2026-03-02T21:29:50Z | 2,527 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"image-text-to-text",
"base_model:tvall43/Qwen3.5-0.8B-heretic",
"base_model:quantized:tvall43/Qwen3.5-0.8B-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2026-03-02T19:13:06Z | # just some more quants
# This is a decensored version of [unsloth/Qwen3.5-0.8B](https://huggingface.co/unsloth/Qwen3.5-0.8B), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | per layer |
| **attn.out_proj.max_... | [
{
"start": 500,
"end": 519,
"text": "max_weight_position",
"label": "evaluation metric",
"score": 0.6744414567947388
},
{
"start": 967,
"end": 986,
"text": "max_weight_position",
"label": "evaluation metric",
"score": 0.6541484594345093
}
] |
mradermacher/Qwen3-Next-80B-A3B-Thinking-SFT-Uncensored-i1-GGUF | mradermacher | 2026-02-20T16:00:08Z | 614 | 2 | transformers | [
"transformers",
"gguf",
"en",
"zh",
"ja",
"base_model:puwaer/Qwen3-Next-80B-A3B-Thinking-SFT-Uncensored",
"base_model:quantized:puwaer/Qwen3-Next-80B-A3B-Thinking-SFT-Uncensored",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-20T10:01:35Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 462,
"end": 504,
"text": "Qwen3-Next-80B-A3B-Thinking-SFT-Uncensored",
"label": "benchmark name",
"score": 0.6929621696472168
},
{
"start": 641,
"end": 691,
"text": "Qwen3-Next-80B-A3B-Thinking-SFT-Uncensored-i1-GGUF",
"label": "benchmark name",
"score": 0.7702... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.