modelId stringlengths 9 107 | author stringlengths 3 37 | last_modified timestamp[us, tz=UTC]date 2021-03-22 21:11:33 2026-05-04 17:37:22 | downloads int64 100 72.3M | likes int64 1 4.99k | library_name stringclasses 132
values | tags listlengths 2 2.16k | pipeline_tag stringclasses 52
values | createdAt timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2026-05-03 03:15:09 | card stringlengths 1.51k 391k | entities listlengths 0 18 |
|---|---|---|---|---|---|---|---|---|---|---|
mradermacher/YanoljaNEXT-Rosetta-20B-GGUF | mradermacher | 2025-09-03T17:11:21Z | 884 | 2 | transformers | [
"transformers",
"gguf",
"translation",
"en",
"es",
"fr",
"de",
"pt",
"ja",
"ko",
"zh",
"ar",
"ru",
"hi",
"base_model:yanolja/YanoljaNEXT-Rosetta-20B",
"base_model:quantized:yanolja/YanoljaNEXT-Rosetta-20B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversatio... | translation | 2025-09-02T22:04:10Z | ## 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... | [] |
tobil/qmd-query-expansion-1.7B-gguf | tobil | 2026-01-29T07:31:10Z | 69,436 | 17 | null | [
"gguf",
"query-expansion",
"search",
"qwen3",
"text-generation",
"en",
"arxiv:2212.10496",
"base_model:Qwen/Qwen3-1.7B",
"base_model:quantized:Qwen/Qwen3-1.7B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-01-25T16:17:58Z | # QMD Query Expansion Fine-Tuning
Train small language models to expand search queries for [QMD](https://github.com/tobi/qmd)'s hybrid retrieval pipeline.
## What This Does
Given a raw search query like `"auth config"`, the trained model produces structured expansions:
```
lex: authentication configuration
lex: aut... | [
{
"start": 588,
"end": 592,
"text": "BM25",
"label": "benchmark name",
"score": 0.6569088697433472
}
] |
unsloth/gemma-4-31b-it-UD-MLX-3bit | unsloth | 2026-04-13T06:15:03Z | 121 | 5 | null | [
"safetensors",
"gemma4",
"unsloth",
"gemma",
"google",
"image-text-to-text",
"conversational",
"base_model:google/gemma-4-31B-it",
"base_model:quantized:google/gemma-4-31B-it",
"license:apache-2.0",
"4-bit",
"region:us"
] | image-text-to-text | 2026-04-03T22:03:07Z | # 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-4-31b-it-UD-MLX... | [
{
"start": 1142,
"end": 1149,
"text": "Gemma 4",
"label": "benchmark name",
"score": 0.6181463003158569
}
] |
cais/HarmBench-Llama-2-13b-cls | cais | 2024-03-17T22:44:17Z | 68,605 | 28 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2402.04249",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-02-03T21:53:23Z | ### 📝 Overview:
This is the official classifier for text behaviors in [HarmBench](https://arxiv.org/abs/2402.04249). This model support standard (text) behaviors and contextual behaviors.
📚 Example Notebook to use the classifier can be found [here](https://github.com/centerforaisafety/HarmBench/blob/main/notebooks/r... | [
{
"start": 71,
"end": 80,
"text": "HarmBench",
"label": "benchmark name",
"score": 0.9362881183624268
},
{
"start": 287,
"end": 296,
"text": "HarmBench",
"label": "benchmark name",
"score": 0.834682285785675
}
] |
dicta-il/neodictabert-bilingual-embed | dicta-il | 2026-02-02T23:27:32Z | 1,307 | 2 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"neobert",
"sentence-similarity",
"feature-extraction",
"dense",
"generated_from_trainer",
"dataset_size:40680",
"loss:CachedMultipleNegativesRankingLoss",
"custom_code",
"he",
"en",
"arxiv:2510.20386",
"base_model:dicta-il/neodictabert-bilingual",
... | sentence-similarity | 2026-02-02T23:27:25Z | # NeoDictaBERT-bilingual: Pushing the Frontier of BERT models in Hebrew
# SentenceTransformer based on dicta-il/neodictabert-bilingual
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [dicta-il/neodictabert-bilingual](https://huggingface.co/dicta-il/neodictabert-bilingual) on the he datas... | [] |
mradermacher/Qwen3VL_Euclid_4B-i1-GGUF | mradermacher | 2025-12-08T04:21:35Z | 214 | 1 | transformers | [
"transformers",
"gguf",
"en",
"zh",
"dataset:LiamLian0727/Euclid30K",
"base_model:LiamLian0727/Qwen3VL_Euclid_4B",
"base_model:quantized:LiamLian0727/Qwen3VL_Euclid_4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-03T21:20:36Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 468,
"end": 485,
"text": "Qwen3VL_Euclid_4B",
"label": "benchmark name",
"score": 0.6214535236358643
},
{
"start": 622,
"end": 647,
"text": "Qwen3VL_Euclid_4B-i1-GGUF",
"label": "benchmark name",
"score": 0.6757920384407043
},
{
"start": 721,
"end":... |
mradermacher/tvall43-Qwen3.5-4B-heretic-v2-i1-GGUF | mradermacher | 2026-04-18T13:03:20Z | 5,373 | 2 | transformers | [
"transformers",
"gguf",
"unsloth",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:CCSSNE/tvall43-Qwen3.5-4B-heretic-v2",
"base_model:quantized:CCSSNE/tvall43-Qwen3.5-4B-heretic-v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversati... | null | 2026-03-25T06:37:35Z | ## 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_... | [] |
hfl/chinese-macbert-base | hfl | 2021-05-19T19:09:45Z | 17,237 | 159 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"zh",
"arxiv:2004.13922",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | <p align="center">
<br>
<img src="https://github.com/ymcui/MacBERT/raw/master/pics/banner.png" width="500"/>
<br>
</p>
<p align="center">
<a href="https://github.com/ymcui/MacBERT/blob/master/LICENSE">
<img alt="GitHub" src="https://img.shields.io/github/license/ymcui/MacBERT.svg?color=blue&styl... | [] |
bartowski/arcee-ai_Trinity-Nano-Preview-GGUF | bartowski | 2025-12-01T20:43:05Z | 794 | 2 | null | [
"gguf",
"text-generation",
"en",
"es",
"fr",
"de",
"it",
"pt",
"ru",
"ar",
"hi",
"ko",
"zh",
"base_model:arcee-ai/Trinity-Nano-Preview",
"base_model:quantized:arcee-ai/Trinity-Nano-Preview",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-12-01T19:17:42Z | ## Llamacpp imatrix Quantizations of Trinity-Nano-Preview by arcee-ai
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b7211">b7211</a> for quantization.
Original model: https://huggingface.co/arcee-ai/Trinity-Nano-Preview
All qu... | [] |
primeline/whisper-large-v3-german | primeline | 2024-12-03T10:42:17Z | 13,635 | 81 | transformers | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"de",
"doi:10.57967/hf/3828",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | automatic-speech-recognition | 2023-11-08T12:05:44Z | ### Summary
This model map provides information about a model based on Whisper Large v3 that has been fine-tuned for speech recognition in German. Whisper is a powerful speech recognition platform developed by OpenAI. This model has been specially optimized for processing and recognizing German speech.
### Applicati... | [] |
sensenova/SenseNova-MARS-32B | sensenova | 2026-01-29T06:33:06Z | 171 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"en",
"arxiv:2512.24330",
"base_model:Qwen/Qwen3-VL-8B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-8B-Instruct",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-01-29T03:36:22Z | # 🪐 SenseNova-MARS
<div align="center">
<a href="http://arxiv.org/abs/2512.24330">
<img src="https://img.shields.io/badge/ArXiv-SenseNova--MARS-brown?logo=arxiv" alt="Paper">
</a>
<a href="https://huggingface.co/datasets/sensenova/SenseNova-MARS-Data">
<img src="https://img.shields.io/badge/🤗 hugging... | [] |
XiaomiMiMo/MiMo-V2.5 | XiaomiMiMo | 2026-04-29T14:45:09Z | 2,661 | 156 | null | [
"safetensors",
"mimo_v2",
"multimodal",
"vision-language",
"audio",
"agent",
"video-understanding",
"long-context",
"custom_code",
"en",
"zh",
"license:mit",
"eval-results",
"fp8",
"region:us"
] | null | 2026-04-27T13:37:38Z | <br/><br/>
<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" />
</p... | [] |
mlx-community/Qwen3.5-9B-MLX-4bit | mlx-community | 2026-03-23T17:58:27Z | 108,221 | 64 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"qwen3.5",
"vision-language-model",
"quantized",
"4bit",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"4-bit",
"region:us"
] | image-text-to-text | 2026-03-02T14:52:55Z | # Qwen3.5-9B-MLX-4bit
This is a quantized MLX version of [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B) for Apple Silicon.
## Model Details
- **Original Model:** [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B)
- **Quantization:** 4-bit (~5.059 bits per weight)
- **Group Size:** 64
- **Format:** ... | [] |
bartowski/allura-org_Q3-30B-A3B-Designant-GGUF | bartowski | 2025-05-26T07:29:29Z | 1,670 | 5 | null | [
"gguf",
"mergekit",
"axolotl",
"unsloth",
"roleplay",
"conversational",
"text-generation",
"dataset:PygmalionAI/PIPPA",
"dataset:Alfitaria/nemotron-ultra-reasoning-synthkink",
"dataset:PocketDoc/Dans-Prosemaxx-Gutenberg",
"dataset:FreedomIntelligence/Medical-R1-Distill-Data",
"dataset:cognitiv... | text-generation | 2025-05-26T04:01:15Z | ## Llamacpp imatrix Quantizations of Q3-30B-A3B-Designant by allura-org
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b5466">b5466</a> for quantization.
Original model: https://huggingface.co/allura-org/Q3-30B-A3B-Designant
... | [] |
faunix/QwenSeek-2B | faunix | 2026-05-03T18:28:05Z | 275 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5_text",
"text-generation",
"qwen3_5",
"deepseek",
"reasoning",
"faunix",
"qwenseek",
"qwen",
"conversational",
"en",
"dataset:Jackrong/DeepSeek-V4-Distill-8000x",
"base_model:Qwen/Qwen3.5-2B",
"base_model:finetune:Qwen/Qwen3.5-2B",
"license:apache... | text-generation | 2026-05-01T02:25:15Z | 
# Introducing
**QwenSeek-2B** - distillation of thinking of **DeepSeek V4** into **Qwen3.5-2B**!
We conducted the distillation of thinking(mainly of the <think></think> blocks) from the DeepSeek-V4 model, to Qwen3.5-2B. Now this is your mini DeepSeek!
# Training
| | |
| :--- | :--- |
| T... | [
{
"start": 2,
"end": 13,
"text": "QwenSeek-2B",
"label": "benchmark name",
"score": 0.692439079284668
},
{
"start": 46,
"end": 57,
"text": "QwenSeek-2B",
"label": "benchmark name",
"score": 0.6405410766601562
},
{
"start": 113,
"end": 123,
"text": "Qwen3.5... |
Qwen/Qwen3-4B-GGUF | Qwen | 2025-05-21T06:32:23Z | 97,470 | 91 | null | [
"gguf",
"text-generation",
"arxiv:2309.00071",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-4B",
"base_model:quantized:Qwen/Qwen3-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-05-05T08:48:20Z | # Qwen3-4B-GGUF
<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 language ... | [] |
mradermacher/probably-terrible-gemma-12b-GGUF | mradermacher | 2025-10-29T10:12:49Z | 809 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:ToastyPigeon/probably-terrible-gemma-12b",
"base_model:quantized:ToastyPigeon/probably-terrible-gemma-12b",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-29T10:01:51Z | ## 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... | [
{
"start": 529,
"end": 561,
"text": "probably-terrible-gemma-12b-GGUF",
"label": "benchmark name",
"score": 0.6802340149879456
}
] |
stepfun-ai/RLVR-8B-0926 | stepfun-ai | 2026-01-14T07:22:21Z | 832 | 8 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"reasoning",
"test-time-compute",
"pacore",
"math",
"code",
"conversational",
"arxiv:2601.05593",
"base_model:Qwen/Qwen3-8B-Base",
"base_model:finetune:Qwen/Qwen3-8B-Base",
"license:mit",
"text-generation-inference",
"endpoints... | text-generation | 2025-12-09T07:55:37Z | # PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning
<div align="center">
[**Read the Paper**](https://arxiv.org/abs/2601.05593) | [**Download Models**](https://huggingface.co/stepfun-ai/PaCoRe-8B) | [**Training Data**](https://huggingface.co/datasets/stepfun-ai/PaCoRe-Train-8k) | [**GitH... | [] |
nvidia/GLM-5-NVFP4 | nvidia | 2026-04-10T23:29:51Z | 139,587 | 24 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"glm_moe_dsa",
"nvidia",
"ModelOpt",
"GLM-5",
"quantized",
"FP4",
"fp4",
"text-generation",
"conversational",
"base_model:zai-org/GLM-5",
"base_model:finetune:zai-org/GLM-5",
"license:mit",
"8-bit",
"region:us"
] | text-generation | 2026-02-24T23:43:24Z | # Model Overview
## Description:
The NVIDIA GLM-5 NVFP4 model is the quantized version of ZAI’s GLM-5 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/zai-org/GLM-5). The NVIDIA GLM-5 NVFP4 model is quant... | [] |
trillionlabs/Gravity-16B-A3B-Preview | trillionlabs | 2026-04-20T23:50:40Z | 387 | 3 | transformers | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"moe",
"mixture-of-experts",
"gravity",
"trillion-labs",
"chat",
"post-trained",
"preview",
"conversational",
"en",
"ko",
"base_model:trillionlabs/Gravity-16B-A3B-Base",
"base_model:finetune:trillionlabs/Gravity-16B-A3B-B... | text-generation | 2026-04-15T12:33:31Z | <p align="center">
<img src="preview-banner.png" alt="Gravity-16B-A3B-Preview" width="100%">
</p>
# Gravity-16B-A3B-Preview
**Gravity-16B-A3B-Preview** is a post-trained language model built on [Gravity-16B-A3B-Base](https://huggingface.co/trillionlabs/Gravity-16B-A3B-Base) by [Trillion Labs](https://trillionlabs.c... | [] |
mradermacher/MS3.2-Nilcall-24B-v0.1-i1-GGUF | mradermacher | 2025-12-04T22:19:45Z | 230 | 1 | transformers | [
"transformers",
"gguf",
"roleplay",
"conversational",
"en",
"dataset:allenai/tulu-3-sft-personas-instruction-following",
"dataset:nvidia/HelpSteer3",
"dataset:zerofata/Roleplay-Anime-Characters",
"dataset:zerofata/Instruct-Anime-CreativeWriting",
"base_model:p-e-r-e-g-r-i-n-e/MS3.2-Nilcall-24B-v0.... | null | 2025-09-17T12:32:20Z | ## 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_... | [] |
UWV/leesplank-noot-eurollm-1.7b | UWV | 2025-11-16T08:21:44Z | 146 | 2 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-simplification",
"dutch",
"accessibility",
"government",
"conversational",
"nl",
"dataset:UWV/Leesplank_NL_wikipedia_simplifications_preprocessed",
"base_model:utter-project/EuroLLM-1.7B",
"base_model:finetune:utter-project/Eur... | text-generation | 2025-11-08T10:16:53Z | # Leesplank Noot EuroLLM-1.7B
**Dutch text simplification model achieving SARI 66.44 ± 0.32 at 27.5 tokens/second**
## Model Details
* **Model**: `UWV/leesplank-noot-eurollm-1.7b`
* **Base**: EuroLLM-1.7B (utter-project/EuroLLM-1.7B)
* **Task**: Dutch text simplification for government communication
* **Performance*... | [
{
"start": 75,
"end": 85,
"text": "SARI 66.44",
"label": "evaluation metric",
"score": 0.6207753419876099
},
{
"start": 323,
"end": 333,
"text": "SARI 66.44",
"label": "evaluation metric",
"score": 0.7864615321159363
}
] |
mradermacher/Drifting-Shadow-12B-i1-GGUF | mradermacher | 2025-12-04T23:25:58Z | 175 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Vortex5/Drifting-Shadow-12B",
"base_model:quantized:Vortex5/Drifting-Shadow-12B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-10T13:21:09Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 619,
"end": 646,
"text": "Drifting-Shadow-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.7054048180580139
},
{
"start": 1205,
"end": 1232,
"text": "Drifting-Shadow-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.6558843851089478
},
{
"start": 1... |
OpenMed/OpenMed-PII-Spanish-SnowflakeMed-Large-568M-v1 | OpenMed | 2026-02-18T17:48:47Z | 182 | 1 | transformers | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"ner",
"pii",
"pii-detection",
"de-identification",
"privacy",
"healthcare",
"medical",
"clinical",
"phi",
"spanish",
"pytorch",
"openmed",
"es",
"base_model:Snowflake/snowflake-arctic-embed-l-v2.0",
"base_mode... | token-classification | 2026-02-17T18:43:12Z | # OpenMed-PII-Spanish-SnowflakeMed-Large-568M-v1
**Spanish PII Detection Model** | 568M Parameters | Open Source
[]() []() []... | [
{
"start": 188,
"end": 197,
"text": "Precision",
"label": "evaluation metric",
"score": 0.6209312677383423
},
{
"start": 1318,
"end": 1327,
"text": "Precision",
"label": "evaluation metric",
"score": 0.7723527550697327
},
{
"start": 1482,
"end": 1491,
"tex... |
pipizhao/SkillRouter-Reranker-0.6B | pipizhao | 2026-03-31T06:37:42Z | 140 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"reranking",
"cross-encoder",
"agent-tools",
"skill-routing",
"listwise-learning",
"text-ranking",
"en",
"arxiv:2603.22455",
"base_model:Qwen/Qwen3-Reranker-0.6B",
"base_model:finetune:Qwen/Qwen3-Reranker-0.6B",
"license:apache-2... | text-ranking | 2026-03-26T02:52:27Z | # SR-Rank-0.6B
`SR-Rank-0.6B` is a fine-tuned cross-encoder reranker for skill routing. It is designed to score a small candidate set of retrieved skills against a task query and select the single most relevant skill for an LLM agent.
## Model Summary
- Base model: `Qwen/Qwen3-Reranker-0.6B`
- Architecture: causal-L... | [
{
"start": 2,
"end": 14,
"text": "SR-Rank-0.6B",
"label": "benchmark name",
"score": 0.6681849956512451
},
{
"start": 17,
"end": 29,
"text": "SR-Rank-0.6B",
"label": "benchmark name",
"score": 0.6576430201530457
},
{
"start": 449,
"end": 471,
"text": "scal... |
JEILDLWLRMA/Qwen3-VL-8B-Instruct-NVFP4 | JEILDLWLRMA | 2026-02-02T09:09:30Z | 765 | 1 | null | [
"safetensors",
"qwen3_vl",
"vision-language",
"multimodal",
"qwen3-vl",
"nvfp4",
"quantization",
"llmcompressor",
"smoothquant",
"image-to-text",
"base_model:Qwen/Qwen3-VL-8B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-8B-Instruct",
"license:apache-2.0",
"8-bit",
"compressed-tensors",... | image-to-text | 2026-02-02T08:09:15Z | # Qwen3VL-8B-Instruct-NVFP4
This is an NVFP4 quantized version of [Qwen3-VL-8B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct), a powerful vision-language model for multimodal understanding and generation tasks.
## Model Details
### Base Model
- **Base Model**: [Qwen/Qwen3-VL-8B-Instruct](https://hugging... | [] |
SG161222/RealVisXL_V4.0 | SG161222 | 2024-10-08T16:34:46Z | 57,142 | 286 | diffusers | [
"diffusers",
"safetensors",
"doi:10.57967/hf/5476",
"license:openrail++",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | 2024-02-12T16:20:30Z | <strong>Check my exclusive models on Mage: </strong><a href="https://www.mage.space/play/4371756b27bf52e7a1146dc6fe2d969c" rel="noopener noreferrer nofollow"><strong>ParagonXL</strong></a><strong> / </strong><a href="https://www.mage.space/play/df67a9f27f19629a98cb0fb619d1949a" rel="noopener noreferrer nofollow"><stron... | [] |
emilianJR/epiCRealism | emilianJR | 2023-07-23T14:14:35Z | 13,357 | 76 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | 2023-06-25T12:13:26Z | Diffuser model for this SD checkpoint:
https://civitai.com/models/25694/epicrealism
**emilianJR/epiCRealism** is the HuggingFace diffuser that you can use with **diffusers.StableDiffusionPipeline()**.
Examples | Examples | Examples
---- | ---- | ----
![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d0ecbdfc-b995-... | [] |
unsloth/whisper-small | unsloth | 2025-05-14T10:58:15Z | 1,402 | 6 | null | [
"safetensors",
"whisper",
"audio",
"automatic-speech-recognition",
"hf-asr-leaderboard",
"en",
"zh",
"de",
"es",
"ru",
"ko",
"fr",
"ja",
"pt",
"tr",
"pl",
"ca",
"nl",
"ar",
"sv",
"it",
"id",
"hi",
"fi",
"vi",
"he",
"uk",
"el",
"ms",
"cs",
"ro",
"da",
"... | automatic-speech-recognition | 2025-05-14T10:38:16Z | # 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/AdaTooler-V-SFT-model-i1-GGUF | mradermacher | 2026-01-14T08:05:58Z | 207 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:AdaTooler-V/AdaTooler-V-SFT-model",
"base_model:quantized:AdaTooler-V/AdaTooler-V-SFT-model",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-14T07:28:44Z | ## 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_... | [] |
niwiyi/biostatextract | niwiyi | 2026-03-23T18:23:37Z | 1,122 | 1 | peft | [
"peft",
"safetensors",
"gguf",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-19T21:59:45Z | # Model Card for Model ID
This processes epidemiologial narratives into a well defined schema. Useful for meta-analysis and systematic reviews. Best to use a wrapper to chunk the input text since there is a small context window.
## Model Details
### Model Description
biostatextract is a specialized Small Languag... | [] |
QuantFactory/Loki-v2.6-8b-1024k-GGUF | QuantFactory | 2024-11-30T10:47:24Z | 1,665 | 6 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"arxiv:2403.19522",
"base_model:Azazelle/L3-Daybreak-8b-lora",
"base_model:merge:Azazelle/L3-Daybreak-8b-lora",
"base_model:Azazelle/Llama-3-8B-Abomination-LORA",
"base_model:merge:Azazelle/Llama-3-8B-Abomination-LORA",
"base_model:Azazelle/Llama-3-Lima... | null | 2024-11-30T09:37:00Z | ---
base_model:
- MrRobotoAI/Epic_Fiction-8b
- aifeifei798/llama3-8B-DarkIdol-2.2-Uncensored-1048K
- MrRobotoAI/Unaligned-RP-Base-8b-1024k
- MrRobotoAI/Loki-.Epic_Fiction.-8b
- Casual-Autopsy/L3-Luna-8B
- Casual-Autopsy/L3-Super-Nova-RP-8B
- Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B
- Casual-Autopsy/Halu-L3-Stheno-Blac... | [] |
happypatrick/Qwen3.5-122B-A10B-heretic-int4-AutoRound | happypatrick | 2026-03-15T23:19:00Z | 26,279 | 6 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"qwen3.5",
"moe",
"multimodal",
"heretic",
"uncensored",
"abliterated",
"int4",
"autoround",
"gptq",
"quantized",
"dgx-spark",
"asus-ascent",
"vllm",
"conversational",
"en",
"arxiv:2309.05516",
"base_model:tr... | image-text-to-text | 2026-03-15T23:16:17Z | # Qwen3.5-122B-A10B-heretic-int4-AutoRound
**The first INT4 AutoRound quantization of the Heretic (uncensored) Qwen3.5-122B — with vision preserved.**
A 4-bit symmetric quantization of [trohrbaugh/Qwen3.5-122B-A10B-heretic](https://huggingface.co/trohrbaugh/Qwen3.5-122B-A10B-heretic), generated using [Intel AutoRound... | [] |
Qwen/Qwen2.5-Omni-7B | Qwen | 2025-04-30T13:48:45Z | 493,868 | 1,875 | transformers | [
"transformers",
"safetensors",
"qwen2_5_omni",
"multimodal",
"any-to-any",
"en",
"arxiv:2503.20215",
"license:other",
"endpoints_compatible",
"region:us"
] | any-to-any | 2025-03-22T02:27:55Z | # Qwen2.5-Omni
<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>
## Overview
### Introduction
Qwen2.5-Omni is an end-to-end multimodal... | [] |
nikolab/speecht5_tts_hr | nikolab | 2024-10-07T12:10:19Z | 168 | 5 | transformers | [
"transformers",
"safetensors",
"speecht5",
"text-to-audio",
"hr",
"dataset:facebook/voxpopuli",
"arxiv:2110.07205",
"base_model:microsoft/speecht5_tts",
"base_model:finetune:microsoft/speecht5_tts",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-to-audio | 2024-09-30T14:07:27Z | # speecht5_tts_hr
This is a fine-tuned version of SpeechT5 text-to-speech model tailored for Croatian language.
# Model
SpeechT5 is a fine-tuned model for speech synthesis (text-to-speech) on the LibriTTS dataset. It was created as an upgraded version of the successful T5 model (Text-To-Text Transfer Transformer), w... | [] |
unsloth/Llama-3.2-3B-Instruct-bnb-4bit | unsloth | 2025-06-02T21:42:45Z | 53,518 | 34 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-3",
"meta",
"facebook",
"unsloth",
"conversational",
"en",
"base_model:meta-llama/Llama-3.2-3B-Instruct",
"base_model:quantized:meta-llama/Llama-3.2-3B-Instruct",
"license:llama3.2",
"text-generation-inference",
"endpoints... | text-generation | 2024-09-25T18:51:15Z | ## ***See [our collection](https://huggingface.co/collections/unsloth/llama-32-66f46afde4ca573864321a22) for all versions of Llama 3.2 including GGUF, 4-bit and original 16-bit formats.***
# Finetune Llama 3.2, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a free Google Colab Tesla T4 noteboo... | [] |
Naphula/Goetia-24B-v1-GGUF | Naphula | 2025-10-31T19:07:40Z | 117 | 5 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"nsfw",
"base_model:CrucibleLab/M3.2-24B-Loki-V1.3",
"base_model:merge:CrucibleLab/M3.2-24B-Loki-V1.3",
"base_model:Darkhn/M3.2-24B-Animus-V7.1",
"base_model:merge:Darkhn/M3.2-24B-Animus-V7.1",
"base_model:Delta-Vector/Rei-24B-KTO",
"base_model:merge:... | null | 2025-10-09T23:11:06Z | <!DOCTYPE html>
<style>
@import url('https://fonts.googleapis.com/css2?family=Crimson+Text:ital,wght@0,400;0,700;1,400&family=Uncial+Antiqua&display=swap');
body {
font-family: 'Crimson Text', serif;
color: #4A3F35; /* Faded Ink Brown */
line-height: 1.6;
margin: 0;
padding: 0;
background-color: #281E18... | [] |
google/long-t5-tglobal-large | google | 2023-09-11T20:35:44Z | 8,469 | 17 | transformers | [
"transformers",
"pytorch",
"jax",
"safetensors",
"longt5",
"text2text-generation",
"en",
"arxiv:2112.07916",
"arxiv:1912.08777",
"arxiv:1910.10683",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | 2022-04-16T11:20:39Z | # LongT5 (transient-global attention, large-sized model)
LongT5 model pre-trained on English language. The model was introduced in the paper [LongT5: Efficient Text-To-Text Transformer for Long Sequences](https://arxiv.org/pdf/2112.07916.pdf) by Guo et al. and first released in [the LongT5 repository](https://github.c... | [] |
nineninesix/kani-tts-400m-en | nineninesix | 2026-02-18T01:35:09Z | 2,088 | 39 | transformers | [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"text-to-speech",
"en",
"arxiv:2501.15907",
"arxiv:2506.09827",
"base_model:nineninesix/kani-tts-400m-0.3-pt",
"base_model:finetune:nineninesix/kani-tts-400m-0.3-pt",
"license:other",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2025-10-23T20:52:55Z | <p>
<img src="https://cdn-uploads.huggingface.co/production/uploads/64fab67bd268b2f1ad8a826b/Ki5aExt7SmQwHYLuGyLdc.png" alt="Logo" width="200" height="200">
</p>
# KaniTTS English
[](https://discord.gg/NzP3rjB4SB) [![License](https:/... | [] |
PaddlePaddle/PP-DocLayoutV2 | PaddlePaddle | 2026-01-29T08:21:29Z | 14,507 | 28 | PaddleOCR | [
"PaddleOCR",
"PaddlePaddle",
"ocr",
"layout",
"layout_detection",
"object-detection",
"en",
"zh",
"multilingual",
"arxiv:2510.14528",
"license:apache-2.0",
"region:us"
] | object-detection | 2025-10-16T10:01:54Z | ## Introduction
**PP-DocLayoutV2** is a dedicated lightweight model for layout analysis, focusing specifically on element detection, classification, and reading order
prediction.
## **Model Architecture**
PP-DocLayoutV2 is composed of two sequentially connected networks. The first is an RT-DETR-based detection mo... | [] |
AaryanK/IQuest-Coder-V1-40B-Instruct-GGUF | AaryanK | 2026-01-01T22:53:09Z | 1,617 | 7 | gguf | [
"gguf",
"text-generation-inference",
"code",
"agent",
"swe-bench",
"text-generation",
"en",
"base_model:IQuestLab/IQuest-Coder-V1-40B-Instruct",
"base_model:quantized:IQuestLab/IQuest-Coder-V1-40B-Instruct",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-01-01T21:07:11Z | # IQuest-Coder-V1-40B-Instruct-GGUF
## Description
This repository contains **GGUF** format model files for [IQuestLab's IQuest-Coder-V1-40B-Instruct](https://huggingface.co/IQuestLab/IQuest-Coder-V1-4... | [
{
"start": 539,
"end": 557,
"text": "SWE-Bench Verified",
"label": "benchmark name",
"score": 0.9152126908302307
},
{
"start": 559,
"end": 564,
"text": "81.4%",
"label": "evaluation metric",
"score": 0.8559388518333435
},
{
"start": 570,
"end": 582,
"text"... |
matous-volf/political-leaning-politics | matous-volf | 2025-07-21T07:52:18Z | 549 | 10 | transformers | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"text",
"politics",
"political",
"leaning",
"bias",
"politicalness",
"en",
"dataset:mlburnham/dem_rep_party_platform_topics",
"dataset:cajcodes/political-bias",
"dataset:JyotiNayak/political_ideologies",
"dataset:Jacobvs/Po... | text-classification | 2025-04-28T19:46:35Z | # Text political leaning classifier based on POLITICS
This model classifies text by its political leaning into three classes: left, center, right. It has been trained on news
articles, social network posts and LLM-generated politological statements. The training data comes from the context of
the United States, and so... | [
{
"start": 890,
"end": 906,
"text": "Political DEBATE",
"label": "benchmark name",
"score": 0.6303449273109436
},
{
"start": 987,
"end": 990,
"text": "F_1",
"label": "evaluation metric",
"score": 0.7657129168510437
}
] |
mradermacher/Qwen3-4B-Agent-Eva-GGUF | mradermacher | 2026-01-14T05:46:13Z | 281 | 1 | transformers | [
"transformers",
"gguf",
"coding",
"research",
"deep thinking",
"1M context",
"256k context",
"Qwen3",
"All use cases",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",... | null | 2026-01-14T05:07:43Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 363,
"end": 381,
"text": "Qwen3-4B-Agent-Eva",
"label": "benchmark name",
"score": 0.7029603719711304
},
{
"start": 518,
"end": 541,
"text": "Qwen3-4B-Agent-Eva-GGUF",
"label": "benchmark name",
"score": 0.7931268811225891
},
{
"start": 1237,
"end":... |
QuantFactory/palmyra-mini-thinking-a-GGUF | QuantFactory | 2025-09-13T11:05:27Z | 148 | 2 | null | [
"gguf",
"Coder",
"Math",
"qwen2",
"thinking",
"reasoning",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-09-13T10:58:06Z | ---
tags:
- Coder
- Math
- qwen2
- thinking
- reasoning
model-index:
- name: Palmyra-mini-thinking-a
results: []
license: apache-2.0
language:
- en
---
[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT... | [] |
aufklarer/PersonaPlex-7B-MLX-4bit | aufklarer | 2026-04-12T08:09:59Z | 2,142 | 32 | mlx | [
"mlx",
"personaplex",
"speech-to-speech",
"full-duplex",
"apple-silicon",
"moshi",
"audio-to-audio",
"en",
"arxiv:2504.07966",
"base_model:nvidia/personaplex-7b-v1",
"base_model:finetune:nvidia/personaplex-7b-v1",
"license:cc-by-nc-4.0",
"region:us"
] | audio-to-audio | 2026-02-22T13:30:54Z | > **Note**: For full-duplex (real-time) inference, use the [8-bit variant](https://huggingface.co/aufklarer/PersonaPlex-7B-MLX-8bit) instead. 4-bit quantization degrades PersonaPlex response quality significantly — INT8 is both 30% faster (112ms vs 158ms/step) and produces coherent responses where INT4 generates garble... | [] |
TheDrummer/Cydonia-24B-v3.1-GGUF | TheDrummer | 2025-06-25T18:20:32Z | 283 | 15 | null | [
"gguf",
"base_model:mistralai/Magistral-Small-2506",
"base_model:quantized:mistralai/Magistral-Small-2506",
"endpoints_compatible",
"region:us"
] | null | 2025-06-12T10:12:33Z | # Join our Discord! https://discord.gg/BeaverAI
## More than 6000 members strong 💪 A hub for users and makers alike!
---
[Drummer](https://huggingface.co/TheDrummer) proudly presents...
# Cydonia 24B v3.1 💿
![image/png](https://cdn-uploads.huggingface.co/production/uploads/65f2fd1c25b848bd061b5c2e/y6XY-9GvGdP1rLCg... | [] |
geoffmunn/Qwen3-0.6B-f16 | geoffmunn | 2026-03-13T08:33:33Z | 9,301 | 1 | null | [
"gguf",
"qwen",
"qwen3",
"qwen3-0.6b",
"qwen3-0.6b-gguf",
"llama.cpp",
"quantized",
"text-generation",
"chat",
"edge-ai",
"tiny-model",
"imatrix",
"Q3_HIFI",
"Q4_HIFI",
"Q5_HIFI",
"outlier-aware",
"high-fidelity",
"en",
"zh",
"dataset:wikitext",
"dataset:codeparrot",
"datas... | text-generation | 2025-09-19T23:58:31Z | # Qwen3-0.6B-f16-GGUF
This is a **GGUF-quantized version** of the **[Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B)** language model — a compact **600-million-parameter** LLM designed for **ultra-fast inference on low-resource devices**.
Converted for use with `llama.cpp`, [LM Studio](https://lmstudio.ai), ... | [] |
VAGOsolutions/SauerkrautLM-Reason-EuroColBERT | VAGOsolutions | 2025-08-03T00:12:46Z | 1,210 | 12 | PyLate | [
"PyLate",
"safetensors",
"eurobert",
"ColBERT",
"sentence-transformers",
"sentence-similarity",
"feature-extraction",
"multilingual",
"late-interaction",
"retrieval",
"bright",
"loss:Distillation",
"custom_code",
"arxiv:2503.05500",
"arxiv:1908.10084",
"base_model:VAGOsolutions/Sauerkr... | sentence-similarity | 2025-07-18T00:55:44Z | <img src="https://vago-solutions.ai/wp-content/uploads/2025/08/SauerkrautLM-REASON-EUROCO-BERT.png" width="500" height="auto">
# SauerkrautLM-Reason-EuroColBERT
This model is a powerful Late Interaction retriever that leverages:
**Knowledge Distillation** from strong synthetic data (200k samples generated with Qwen/... | [] |
unsloth/Qwen3.5-9B-Base | unsloth | 2026-03-02T14:27:11Z | 11,793 | 8 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"unsloth",
"base_model:Qwen/Qwen3.5-9B-Base",
"base_model:finetune:Qwen/Qwen3.5-9B-Base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-03-02T14:26:55Z | <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... | [] |
infly/Infinity-Parser2-Pro | infly | 2026-04-28T12:44:23Z | 2,955 | 29 | null | [
"safetensors",
"qwen3_5_moe",
"eval-results",
"region:us"
] | null | 2026-04-08T12:28:55Z | # Infinity-Parser2-Pro
<p align="center">
<img src="assets/logo.png" width="400"/>
<p>
<p align="center">
💻 <a href="https://github.com/infly-ai/INF-MLLM">Github</a> |
📊 <a>Dataset (coming soon...)</a> |
📄 <a>Paper (coming soon...)</a> |
🚀 <a href="https://huggingface.co/spaces/infly/Infinity-Parser-Demo">Dem... | [
{
"start": 882,
"end": 894,
"text": "olmOCR-Bench",
"label": "benchmark name",
"score": 0.7917377352714539
},
{
"start": 911,
"end": 916,
"text": "86.7%",
"label": "evaluation metric",
"score": 0.7648184299468994
}
] |
mradermacher/OmniMath-2B-GGUF | mradermacher | 2026-04-13T22:34:53Z | 645 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:ZirTech/OmniMath-2B",
"base_model:quantized:ZirTech/OmniMath-2B",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-11T21:53:22Z | ## 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": 360,
"end": 371,
"text": "OmniMath-2B",
"label": "benchmark name",
"score": 0.6360909342765808
},
{
"start": 508,
"end": 524,
"text": "OmniMath-2B-GGUF",
"label": "benchmark name",
"score": 0.7146068215370178
},
{
"start": 1220,
"end": 1236,
"te... |
mistralai/Mistral-7B-Instruct-v0.2 | mistralai | 2025-07-24T16:57:21Z | 2,952,769 | 3,095 | transformers | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"finetuned",
"mistral-common",
"conversational",
"arxiv:2310.06825",
"license:apache-2.0",
"text-generation-inference",
"deploy:azure",
"region:us"
] | text-generation | 2023-12-11T13:18:44Z | # Model Card for Mistral-7B-Instruct-v0.2
## Encode and Decode with `mistral_common`
```py
from mistral_common.tokens.tokenizers.mistral import MistralTokenizer
from mistral_common.protocol.instruct.messages import UserMessage
from mistral_common.protocol.instruct.request import ChatCompletionRequest
m... | [] |
DavidAU/Qwen3.5-27B-Claude-4.6-OS-Auto-Variable-Heretic-Uncensored-Thinking | DavidAU | 2026-03-12T00:34:42Z | 543 | 3 | 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 | 2026-03-09T08:56:36Z | <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>Qwen3.5-27B-Claude-4.6-OS-Auto-Variable-Heretic-Uncensored-Thinking</h2>
Fine tune via Unsloth of Qwen 3.5 9B den... | [
{
"start": 206,
"end": 273,
"text": "Qwen3.5-27B-Claude-4.6-OS-Auto-Variable-Heretic-Uncensored-Thinking",
"label": "benchmark name",
"score": 0.7006359696388245
},
{
"start": 998,
"end": 1017,
"text": "Qwen3.5-27B-Text-VL",
"label": "benchmark name",
"score": 0.749559640... |
XLabs-AI/flux-ip-adapter | XLabs-AI | 2024-11-07T16:40:32Z | 13,572 | 422 | diffusers | [
"diffusers",
"Stable Diffusion",
"image-generation",
"Flux",
"controlnet",
"text-to-image",
"en",
"license:other",
"region:us"
] | text-to-image | 2024-08-20T20:47:30Z | 
[<img src="https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/light/join-our-discord-rev1.png?raw=true">](https://discord.gg/FHY2guThfy)
This repository provides a IP-Adapter checkpoint for
[FLUX.1-dev model](... | [] |
microsoft/Phi-3-medium-128k-instruct | microsoft | 2025-12-10T20:19:35Z | 6,647 | 388 | transformers | [
"transformers",
"safetensors",
"phi3",
"text-generation",
"nlp",
"code",
"conversational",
"custom_code",
"multilingual",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-05-07T15:27:32Z | 🎉 **Phi-3.5**: [[mini-instruct]](https://huggingface.co/microsoft/Phi-3.5-mini-instruct); [[MoE-instruct]](https://huggingface.co/microsoft/Phi-3.5-MoE-instruct) ; [[vision-instruct]](https://huggingface.co/microsoft/Phi-3.5-vision-instruct)
## Model Summary
The Phi-3-Medium-128K-Instruct is a 14B parameters, lightw... | [
{
"start": 556,
"end": 561,
"text": "Phi-3",
"label": "benchmark name",
"score": 0.6279600858688354
}
] |
nori-sdc/Llama-3-ELYZA-JP-YUA-1-GGUF | nori-sdc | 2026-03-24T00:25:55Z | 282 | 1 | null | [
"gguf",
"japanese",
"llama3",
"elyza",
"instruction-tuning",
"education",
"university-entrance",
"study-support",
"ja",
"base_model:elyza/Llama-3-ELYZA-JP-8B",
"base_model:quantized:elyza/Llama-3-ELYZA-JP-8B",
"license:llama3",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-23T10:44:04Z | # nori-sdc/Llama-3-ELYZA-JP-YUA-1-GGUF
## Model Description
`nori-sdc/Llama-3-ELYZA-JP-YUA-1-instruct` is a Japanese instruction-tuned merged model based on `elyza/Llama-3-ELYZA-JP-8B`.
This model was developed with the cooperation and data provision of **Saika Gakusha**, a university entrance consulting organizatio... | [] |
unsloth/whisper-large-v3-turbo | unsloth | 2025-05-14T10:57:34Z | 3,921 | 10 | transformers | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"unsloth",
"en",
"zh",
"de",
"es",
"ru",
"ko",
"fr",
"ja",
"pt",
"tr",
"pl",
"ca",
"nl",
"ar",
"sv",
"it",
"id",
"hi",
"fi",
"vi",
"he",
"uk",
"el",
"ms",
"cs",
"ro",
"d... | automatic-speech-recognition | 2025-05-14T10:32:23Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/text-to-speech-tts-models-68007ab12522e96be1e02155">our collection</a> for all our TTS model uploads.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to fine-tune TTS models - <a href="... | [] |
tencent/DepthCrafter | tencent | 2025-07-30T08:26:57Z | 56,260 | 106 | DepthCrafter | [
"DepthCrafter",
"diffusers",
"safetensors",
"vision",
"depth-estimation",
"arxiv:2409.02095",
"license:other",
"region:us"
] | depth-estimation | 2024-09-14T04:50:30Z | ## ___***DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos***___
<div align="center">
<img src='https://depthcrafter.github.io/img/logo.png' style="height:140px"></img>
<a href='https://arxiv.org/abs/2409.02095'><img src='https://img.shields.io/badge/arXiv-2409.02095-b31b1b.svg'></a> ... | [] |
PaddlePaddle/en_PP-OCRv5_mobile_rec | PaddlePaddle | 2025-08-29T06:39:03Z | 397,011 | 1 | PaddleOCR | [
"PaddleOCR",
"OCR",
"PaddlePaddle",
"textline_recognition",
"image-to-text",
"en",
"license:apache-2.0",
"region:us"
] | image-to-text | 2025-08-21T09:37:45Z | # en_PP-OCRv5_mobile_rec
## Introduction
en_PP-OCRv5_mobile_rec is one of the PP-OCRv5_rec that are the latest generation text line recognition models developed by PaddleOCR team. It aims to efficiently and accurately support the recognition of English. The key accuracy metrics are as follow:
| Model | Accuracy (%) ... | [] |
mradermacher/XortronCriminalComputingConfig-heretic-i1-GGUF | mradermacher | 2026-02-19T00:48:41Z | 1,288 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"uncensored",
"harmful",
"heretic",
"decensored",
"abliterated",
"en",
"base_model:heretic-org/XortronCriminalComputingConfig-heretic",
"base_model:quantized:heretic-org/XortronCriminalComputingConfig-heretic",
"license:apache-2.0",
"endpoints_c... | null | 2026-02-18T21:20:56Z | ## 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_... | [] |
shoumenchougou/RWKV7-G1e-13.3b-GGUF | shoumenchougou | 2026-03-19T10:17:32Z | 389 | 1 | null | [
"gguf",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-09T08:45:19Z | ## 1️⃣ What are G0 / G1 / G1a2 / G1b / G1c / G1d / G1e ?
The fields like G0 / G1a / G1b in RWKV model names indicate versions of the training data. In terms of data quality, the ranking is: **G1e > G1d > G1c > G1b > G1a2 > G1a > G1 > G0a2 > G0**.
The RWKV7-G1a model is an advanced version of RWKV7-G1 that was furthe... | [
{
"start": 335,
"end": 337,
"text": "1T",
"label": "evaluation metric",
"score": 0.6392597556114197
}
] |
vanta-research/atom-27b | vanta-research | 2026-03-01T22:08:30Z | 126 | 11 | null | [
"safetensors",
"gguf",
"gemma3",
"conversational",
"conversational-ai",
"vanta-research",
"collaborative-ai",
"large-language-model",
"chat",
"roleplay",
"reasoning",
"google",
"gemma",
"project-atom",
"llm",
"language-model",
"text-generation",
"text-generation-inference",
"ai-r... | text-generation | 2025-12-23T00:35:34Z | <div align="center">
<h1>VANTA Research</h1>
<p><strong>Independent AI research lab building safe, resilient language models optimized for human-AI collaboration</strong></p>
<p>
... | [] |
facebook/mms-tts-nan | facebook | 2023-09-01T10:24:56Z | 1,243 | 10 | transformers | [
"transformers",
"pytorch",
"safetensors",
"vits",
"text-to-audio",
"mms",
"text-to-speech",
"arxiv:2305.13516",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2023-09-01T10:24:39Z | ---
license: cc-by-nc-4.0
tags:
- mms
- vits
pipeline_tag: text-to-speech
---
# Massively Multilingual Speech (MMS): Chinese, Min Nan Text-to-Speech
This repository contains the **Chinese, Min Nan (nan)** language text-to-speech (TTS) model checkpoint.
This model is part of Facebook's [Massively Multilingual Speech]... | [] |
inclusionAI/Ring-2.5-1T | inclusionAI | 2026-04-13T11:30:01Z | 24,228 | 239 | transformers | [
"transformers",
"safetensors",
"bailing_hybrid",
"text-generation",
"conversational",
"custom_code",
"license:mit",
"compressed-tensors",
"region:us"
] | text-generation | 2026-02-10T12:45:40Z | <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">Mo... | [
{
"start": 995,
"end": 1016,
"text": "generation efficiency",
"label": "evaluation metric",
"score": 0.619238018989563
},
{
"start": 1084,
"end": 1105,
"text": "Generation efficiency",
"label": "evaluation metric",
"score": 0.6288787722587585
}
] |
agentscope-ai/QwenPaw-Flash-2B-Q8_0 | agentscope-ai | 2026-04-09T11:47:23Z | 713 | 1 | null | [
"gguf",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-30T14:16:19Z | # QwenPaw-Flash
**QwenPaw-Flash** is a lightweight model deeply optimized for the QwenPaw autonomous agent scenario. Since its training phase, the model has been specifically refined for QwenPaw tasks, delivering enhanced agentic performance in tool invocation, command execution, memory management, and multi-step plann... | [] |
AaryanK/Solar-Open-100B-GGUF | AaryanK | 2026-01-01T23:00:54Z | 498 | 15 | gguf | [
"gguf",
"text-generation-inference",
"upstage",
"solar",
"moe",
"100b",
"text-generation",
"en",
"ko",
"base_model:upstage/Solar-Open-100B",
"base_model:quantized:upstage/Solar-Open-100B",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-01-01T18:37:08Z | # Solar-Open-100B-GGUF
<p align="center">
<img src="https://huggingface.co/upstage/Solar-Open-100B/resolve/main/Solar-Open-100B.png" alt="Solar Open Model" width="100%">
</p>
## Description
This repository contains **GGUF** format model files for [Upstage's Solar-Open-100B](https://huggingface.co/upstage/Solar-Ope... | [] |
VibeStudio/Nidum-Gemma-2B-Uncensored | VibeStudio | 2025-06-26T06:50:36Z | 1,055 | 6 | null | [
"safetensors",
"gemma",
"legal",
"chemistry",
"medical",
"text-generation-inference",
"art",
"finance",
"uncensored",
"text-generation",
"conversational",
"license:gemma",
"region:us"
] | text-generation | 2024-08-02T13:56:38Z | # Nidum-Limitless-Gemma-2B LLM
Welcome to the repository for Nidum-Limitless-Gemma-2B, an advanced language model that provides unrestricted and versatile responses across a wide range of topics. Unlike conventional models, Nidum-Limitless-Gemma-2B is designed to handle any type of question and deliver comprehensive a... | [] |
Andycurrent/gemma-3-4b-it-uncensored-v2-GGUF | Andycurrent | 2026-01-19T12:39:34Z | 12,719 | 22 | null | [
"gguf",
"uncensored",
"text-generation",
"agent",
"gemma",
"en",
"base_model:braindao/gemma-3-4b-it-uncensored-v2",
"base_model:quantized:braindao/gemma-3-4b-it-uncensored-v2",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-01-06T07:47:19Z | # Gemma-3-4B-IT-Uncensored-v2
This repository contains Quantized versions of Gemma 3 4B IT Uncensored v2, an instruction-tuned 4B parameter language model designed for users who want a highly responsive, minimally restricted assistant suitable for local, offline, or private deployments.
The model is optimized for dire... | [] |
mradermacher/GLM-4.7-Flash-heretic-1.2.0-GGUF | mradermacher | 2026-02-25T08:09:20Z | 1,430 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"zh",
"base_model:darkc0de/GLM-4.7-Flash-heretic-1.2.0",
"base_model:quantized:darkc0de/GLM-4.7-Flash-heretic-1.2.0",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-25T01:20:57Z | ## 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... | [] |
lmms-lab/LLaVA-OneVision-1.5-4B-Base | lmms-lab | 2025-10-05T07:09:03Z | 7,596 | 1 | transformers | [
"transformers",
"safetensors",
"feature-extraction",
"image-text-to-text",
"conversational",
"custom_code",
"en",
"dataset:lmms-lab/LLaVA-One-Vision-1.5-Mid-Training-85M",
"arxiv:2509.23661",
"base_model:DeepGlint-AI/rice-vit-large-patch14-560",
"base_model:finetune:DeepGlint-AI/rice-vit-large-p... | image-text-to-text | 2025-09-29T07:55:07Z | <p align="center">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/EvolvingLMMs-Lab/LLaVA-OneVision-1.5/raw/main/asset/llava_onevision_black.png">
<source media="(prefers-color-scheme: light)" srcset="https://github.com/EvolvingLMMs-Lab/LLaVA-OneVision-1.5/raw/main/asset/llav... | [] |
stabilityai/sdxl-turbo-tensorrt | stabilityai | 2025-10-20T18:32:24Z | 184 | 41 | tensorrt | [
"tensorrt",
"onnx",
"sdxl-turbo",
"text-to-image",
"license:other",
"region:us"
] | text-to-image | 2023-12-28T21:44:57Z | # SDXL-Turbo Tensorrt
## Introduction
<!-- Provide a quick summary of what the model is/does. -->
This repository hosts the TensorRT version of **Stable Diffusion XL Turbo** created in collaboration with [NVIDIA](https://huggingface.co/nvidia). The optimized versions give substantial improvements in speed and efficie... | [
{
"start": 1061,
"end": 1064,
"text": "VAE",
"label": "benchmark name",
"score": 0.6511691212654114
}
] |
mradermacher/gemma-3-12b-it-vl-HighIQ-Polaris-Heretic-Uncensored-Thinking-GGUF | mradermacher | 2026-02-24T13:45:21Z | 1,048 | 2 | transformers | [
"transformers",
"gguf",
"uncensored",
"heretic",
"abliterated",
"unsloth",
"finetune",
"All use cases",
"bfloat16",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
... | null | 2026-02-24T13:15:44Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/gemma-3-27b-it-uncensored-GGUF | mradermacher | 2025-07-31T06:42:27Z | 193 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:braindao/gemma-3-27b-it-uncensored",
"base_model:quantized:braindao/gemma-3-27b-it-uncensored",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-04-10T20:46:12Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/braindao/gemma-3-27b-it-uncensored
<!-- provided-files -->
***For a convenient overview and download list, visit our [m... | [] |
CabalResearch/NoobAI-RectifiedFlow-Experimental | CabalResearch | 2025-12-05T00:07:39Z | 416 | 30 | diffusers | [
"diffusers",
"base_model:Bluvoll/Experimental_EQ-VAE_NoobAI_tests",
"base_model:finetune:Bluvoll/Experimental_EQ-VAE_NoobAI_tests",
"license:other",
"region:us"
] | null | 2025-11-24T01:30:03Z | 
## Model Details
This is an Experimental Conversion of Noobai v-pred to Rectified Flow target, using EQ-VAE.
![rf vs vpred](https://cdn-uploads.huggingface.co/production/uploads/633b43d29fe... | [] |
google/flan-t5-base | google | 2023-07-17T12:48:39Z | 1,191,745 | 1,060 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"t5",
"text2text-generation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:svakulenk0/qrecc",
"dataset:taskmaster2",
"dataset:djaym7/wiki_dialog",
"dataset:deepmind/code_contests",
"dataset:lambada",
"dataset:gsm8k",
"dat... | null | 2022-10-21T10:02:31Z | # Model Card for FLAN-T5 base
<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/flan2_architecture.jpg"
alt="drawing" width="600"/>
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Usage](#usage)
3. [Uses](#uses)
4. [Bias, Ris... | [
{
"start": 17,
"end": 24,
"text": "FLAN-T5",
"label": "benchmark name",
"score": 0.6330713033676147
}
] |
aisingapore/Llama-SEA-LION-v3-70B-IT | aisingapore | 2025-04-15T13:53:57Z | 1,277 | 5 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"zh",
"vi",
"id",
"th",
"fil",
"ta",
"ms",
"km",
"lo",
"my",
"jv",
"su",
"arxiv:2504.05747",
"arxiv:2502.14301",
"arxiv:2311.07911",
"arxiv:2306.05685",
"base_model:aisingapore/Llama-SEA-LI... | text-generation | 2024-12-11T10:22:38Z | <div>
<img src="llama_3.1_70b_sea-lion_v3_instruct_banner.png"/>
</div>
Current Version: `14.04.2025`
# Llama-SEA-LION-v3-70B-IT
[SEA-LION](https://arxiv.org/abs/2504.05747) is a collection of Large Language Models (LLMs) which have been pretrained and instruct-tuned for the Southeast Asia (SEA) region.
SEA-LION ... | [
{
"start": 311,
"end": 319,
"text": "SEA-LION",
"label": "benchmark name",
"score": 0.6563887596130371
}
] |
inclusionAI/LLaDA2.0-mini | inclusionAI | 2026-04-13T11:29:35Z | 79,570 | 63 | transformers | [
"transformers",
"safetensors",
"llada2_moe",
"text-generation",
"dllm",
"diffusion",
"llm",
"text_generation",
"conversational",
"custom_code",
"arxiv:2512.15745",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-11-25T14:08:45Z | # LLaDA2.0-mini
**LLaDA2.0-mini** is a diffusion language model featuring a 16BA1B Mixture-of-Experts (MoE) architecture. As an enhanced, instruction-tuned iteration of the LLaDA series, it is optimized for practical applications.
<div align="center">
<img src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A... | [
{
"start": 2,
"end": 15,
"text": "LLaDA2.0-mini",
"label": "benchmark name",
"score": 0.6667220592498779
},
{
"start": 19,
"end": 32,
"text": "LLaDA2.0-mini",
"label": "benchmark name",
"score": 0.7430375218391418
},
{
"start": 405,
"end": 413,
"text": "Qw... |
mradermacher/tigerlily-r3-GGUF | mradermacher | 2025-11-19T23:55:53Z | 1,109 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:cathuriges/tigerlily-r3",
"base_model:quantized:cathuriges/tigerlily-r3",
"endpoints_compatible",
"region:us"
] | null | 2025-11-19T22:46:46Z | ## 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... | [] |
UlutSoftLLC/whisper-small-kyrgyz | UlutSoftLLC | 2024-10-07T09:25:08Z | 135 | 6 | transformers | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"ky",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | automatic-speech-recognition | 2024-02-22T08:25:39Z | Кыргыз Республикасынын Президентине караштуу Мамлекеттик тил жана тил саясаты боюнча улуттук комиссия.
Whisper ASR for Kyrgyz Language is an automatic speech recognition (ASR) solution customized for the Kyrgyz language. It is based on the pre-trained Whisper model and has undergone fine-tuning and adaptation to accur... | [] |
mradermacher/Pokemon-Red-Qwen3-80B-i1-GGUF | mradermacher | 2026-03-01T14:56:11Z | 23,919 | 1 | transformers | [
"transformers",
"gguf",
"pokemon",
"qlora",
"qwen3",
"mixture-of-experts",
"game-ai",
"strategic-ai",
"fine-tuned",
"merge",
"en",
"dataset:custom",
"base_model:clarkkitchen22/Pokemon-Red-Qwen3-80B",
"base_model:quantized:clarkkitchen22/Pokemon-Red-Qwen3-80B",
"license:mit",
"endpoints... | null | 2026-02-24T22:37:17Z | ## 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_... | [] |
dx8152/Qwen-Image-Edit-2509-Fusion | dx8152 | 2025-11-12T09:17:25Z | 5,263 | 251 | diffusers | [
"diffusers",
"lora",
"image-to-image",
"base_model:Qwen/Qwen-Image-Edit-2509",
"base_model:adapter:Qwen/Qwen-Image-Edit-2509",
"license:apache-2.0",
"region:us"
] | image-to-image | 2025-10-22T06:35:15Z | Hi everyone overseas! ModelScope has launched its training service abroad.
My LoRa training is all done using ModelScope. Thanks to the ModelScope team for providing the training infrastructure. Give it a try!
https://www.modelscope.cn/aigc/modelTraining
-------
Welcome everyone to use Lora of Qwen-Edit-2509 of Imag... | [] |
nvidia/Kimi-K2.5-Thinking-Eagle3 | nvidia | 2026-03-11T17:39:45Z | 719 | 10 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"kimi_k2",
"nvidia",
"ModelOpt",
"Kimi-K2.5",
"Eagle3",
"text-generation",
"arxiv:2503.01840",
"base_model:moonshotai/Kimi-K2.5",
"base_model:finetune:moonshotai/Kimi-K2.5",
"license:other",
"region:us"
] | text-generation | 2026-03-10T18:02:28Z | # Model Overview
## Description:
The NVIDIA Kimi-K2.5 Eagle model is the Eagle head of the Moonshot AI's Kimi-K2.5 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/moonshotai/Kimi-K2.5). The NVIDIA Kim... | [] |
OpenAssistant/reward-model-deberta-v3-large-v2 | OpenAssistant | 2023-02-01T00:55:05Z | 15,935 | 245 | transformers | [
"transformers",
"pytorch",
"deberta-v2",
"text-classification",
"reward-model",
"reward_model",
"RLHF",
"en",
"dataset:openai/summarize_from_feedback",
"dataset:openai/webgpt_comparisons",
"dataset:Dahoas/instruct-synthetic-prompt-responses",
"dataset:Anthropic/hh-rlhf",
"license:mit",
"te... | text-classification | 2023-02-01T00:13:05Z | # Reward model trained from human feedback
Reward model (RM) trained to predict which generated answer is better judged by a human, given a question.
RM are useful in these domain:
- QA model evaluation
- serves as reward score in RLHF
- detect potential toxic response via ranking
All models are train on these d... | [
{
"start": 226,
"end": 231,
"text": "score",
"label": "evaluation metric",
"score": 0.6650619506835938
},
{
"start": 1474,
"end": 1479,
"text": "score",
"label": "evaluation metric",
"score": 0.6107218861579895
}
] |
mlx-community/Qwen3.5-27B-heretic-8bit | mlx-community | 2026-02-26T18:47:15Z | 9,190 | 8 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"quantized",
"8bit",
"vision",
"vlm",
"qwen3.5",
"abliterated",
"uncensored",
"image-text-to-text",
"conversational",
"base_model:coder3101/Qwen3.5-27B-heretic",
"base_model:quantized:coder3101/Qwen3.5-27B-heretic",
"license:apache-2.0",
"8-bit",
"reg... | image-text-to-text | 2026-02-26T18:45:28Z | # mlx-community/Qwen3.5-27B-heretic-8bit
This model was converted to MLX format from [`coder3101/Qwen3.5-27B-heretic`](https://huggingface.co/coder3101/Qwen3.5-27B-heretic) using [mlx-vlm](https://github.com/Blaizzy/mlx-vlm) version **0.3.12**.
Qwen3.5-27B-heretic is a **decensored/abliterated** version of [Qwen/Qwen... | [] |
Qwen/Qwen3-VL-2B-Thinking-GGUF | Qwen | 2025-11-01T03:22:14Z | 1,924 | 22 | transformers | [
"transformers",
"gguf",
"image-text-to-text",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-2B-Thinking",
"base_model:quantized:Qwen/Qwen3-VL-2B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
... | image-text-to-text | 2025-10-31T03:17:15Z | <a href="https://chat.qwenlm.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-VL-2B-Thinking-GGUF
This repository provides GGUF-format weights for [Qwen3... | [] |
bigscience/bloom | bigscience | 2023-07-28T17:50:20Z | 7,872 | 4,988 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"bloom",
"text-generation",
"ak",
"ar",
"as",
"bm",
"bn",
"ca",
"code",
"en",
"es",
"eu",
"fon",
"fr",
"gu",
"hi",
"id",
"ig",
"ki",
"kn",
"lg",
"ln",
"ml",
"mr",
"ne",
"nso",
"ny",
"or",
"pa",
... | text-generation | 2022-05-19T11:53:33Z | <img src="https://cdn-uploads.huggingface.co/production/uploads/1657124309515-5f17f0a0925b9863e28ad517.png" alt="BigScience Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
BigScience Large Open-science Open-access Multilingual Language Model
Version 1.3 / 6 July 2022
Current Check... | [] |
TeichAI/Qwen3.5-4B-Claude-Opus-Reasoning-Distill | TeichAI | 2026-04-01T04:21:53Z | 1,845 | 13 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"text-generation-inference",
"unsloth",
"reasoning",
"distillation",
"claude-opus",
"tool-use",
"conversational",
"en",
"dataset:TeichAI/Claude-Opus-4.6-Reasoning-887x",
"dataset:TeichAI/Claude-Sonnet-4.6-Reasoning-1100x",
"... | image-text-to-text | 2026-03-24T12:32:24Z | # Qwen3.5 4B — Claude Opus Reasoning Distillation
> **A careful approach to distillation: Premium reasoning capabilities transferred in a single epoch with minimal capability loss.**
Before you dismiss this as yet another community distillation with the... | [
{
"start": 2,
"end": 12,
"text": "Qwen3.5 4B",
"label": "benchmark name",
"score": 0.9249719977378845
},
{
"start": 515,
"end": 525,
"text": "Qwen3.5-4B",
"label": "benchmark name",
"score": 0.9303930401802063
}
] |
mradermacher/Qwen-3-32B-Medical-Reasoning-i1-GGUF | mradermacher | 2025-07-11T03:59:46Z | 3,410 | 7 | transformers | [
"transformers",
"gguf",
"medical",
"xnet",
"qwen",
"en",
"dataset:FreedomIntelligence/medical-o1-reasoning-SFT",
"base_model:nicoboss/Qwen-3-32B-Medical-Reasoning",
"base_model:quantized:nicoboss/Qwen-3-32B-Medical-Reasoning",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatr... | null | 2025-05-02T13:45:20Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/nicoboss/Qwen-3-32B-Medical-Reasoning
<!-- provided-files -->
***For a convenient overview and downlo... | [] |
mradermacher/Step-3.5-Flash-Ablitirated-i1-GGUF | mradermacher | 2026-02-23T03:29:44Z | 1,000 | 2 | transformers | [
"transformers",
"gguf",
"quantized",
"abliterated",
"uncensored",
"moe",
"en",
"base_model:Kilinskiy/Step-3.5-Flash-Ablitirated",
"base_model:quantized:Kilinskiy/Step-3.5-Flash-Ablitirated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-21T10:47:20Z | ## 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_... | [] |
speakleash/Bielik-Minitron-7B-v3.0-Instruct-GGUF | speakleash | 2026-03-30T18:43:43Z | 534 | 4 | transformers | [
"transformers",
"gguf",
"finetuned",
"text-generation",
"multilingual",
"pl",
"en",
"sq",
"bel",
"bs",
"bg",
"hr",
"cs",
"da",
"et",
"fi",
"fr",
"el",
"es",
"is",
"lt",
"nl",
"de",
"no",
"pt",
"ru",
"ro",
"sr",
"hbs",
"sv",
"sk",
"sl",
"tr",
"uk",
... | text-generation | 2026-01-22T09:58:12Z | <p align="center">
<img src="https://huggingface.co/speakleash/Bielik-11B-v2/raw/main/speakleash_cyfronet.png">
</p>
# Bielik-11B-v3.0-Instruct-GGUF
This repo contains GGUF format model files for [SpeakLeash](https://speakleash.org/)'s [Bielik-Minitron-7B-v3.0-Instruct](https://huggingface.co/speakleash/Bielik-Mini... | [] |
TheBloke/WizardCoder-Python-7B-V1.0-GGUF | TheBloke | 2023-09-27T12:49:34Z | 766 | 26 | transformers | [
"transformers",
"gguf",
"llama",
"code",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"arxiv:2303.08774",
"license:llama2",
"model-index",
"region:us"
] | null | 2023-09-16T14:45:14Z | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<d... | [] |
chrisswanson/gemma-3-270m-it-qat-abliterated | chrisswanson | 2025-11-20T19:34:21Z | 302 | 1 | transformers | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"gemma3",
"unsloth",
"gemma",
"google",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"arxiv:2503.19786",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1705.03551",
"ar... | text-generation | 2025-11-20T19:34:08Z | # This is a decensored version of [unsloth/gemma-3-270m-it-qat](https://huggingface.co/unsloth/gemma-3-270m-it-qat), made using [Heretic](https://github.com/p-e-w/heretic) v1.0.1
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 13.82 |
| **attn.o_proj.max_weight** | 1.46 ... | [
{
"start": 326,
"end": 357,
"text": "attn.o_proj.max_weight_position",
"label": "evaluation metric",
"score": 0.678623616695404
},
{
"start": 374,
"end": 396,
"text": "attn.o_proj.min_weight",
"label": "evaluation metric",
"score": 0.651247501373291
},
{
"start": ... |
sarvamai/sarvam-m | sarvamai | 2025-05-28T08:11:24Z | 3,152 | 341 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"en",
"bn",
"hi",
"kn",
"gu",
"mr",
"ml",
"or",
"pa",
"ta",
"te",
"base_model:mistralai/Mistral-Small-3.1-24B-Base-2503",
"base_model:finetune:mistralai/Mistral-Small-3.1-24B-Base-2503",
"license:apach... | text-generation | 2025-05-20T06:39:05Z | # Sarvam-M
<p align="center">
<a href="https://dashboard.sarvam.ai/playground"
target="_blank" rel="noopener noreferrer">
<img
src="https://img.shields.io/badge/🚀 Chat on Sarvam Playground-1488CC?style=for-the-badge&logo=rocket"
alt="Chat on Sarvam Playground"
/>
</a>
</p>
# Model I... | [] |
Andycurrent/Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC-GGUF | Andycurrent | 2026-03-04T05:32:26Z | 5,760 | 6 | llama.cpp | [
"llama.cpp",
"gguf",
"mistral",
"mistral-nemo",
"local-inference",
"reasoning",
"uncensored",
"text-generation",
"en",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-03-04T04:49:24Z | # HERETIC – Mistral-Nemo 2407 12B Thinking (GGUF)
HERETIC is a reasoning-oriented variant of the **Mistral-Nemo 2407 12B** architecture distributed in **GGUF format** for efficient local inference.
The model is intended for users who want a flexible conversational assistant capable of analytical reasoning, long-f... | [] |
bartowski/nvidia_Qwen3-Nemotron-32B-RLBFF-GGUF | bartowski | 2025-10-31T12:32:22Z | 1,686 | 3 | null | [
"gguf",
"text-generation",
"base_model:nvidia/Qwen3-Nemotron-32B-RLBFF",
"base_model:quantized:nvidia/Qwen3-Nemotron-32B-RLBFF",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-10-31T05:19:54Z | ## Llamacpp imatrix Quantizations of Qwen3-Nemotron-32B-RLBFF by nvidia
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b6888">b6888</a> for quantization.
Original model: https://huggingface.co/nvidia/Qwen3-Nemotron-32B-RLBFF
Al... | [] |
JANGQ-AI/Qwen3.5-4B-JANG_4S | JANGQ-AI | 2026-04-17T00:41:11Z | 525 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"jang",
"quantized",
"mixed-precision",
"apple-silicon",
"vlm",
"reasoning",
"thinking",
"en",
"zh",
"ko",
"base_model:Qwen/Qwen3.5-4B",
"base_model:finetune:Qwen/Qwen3.5-4B",
"license:apache-2.0",
"region:us"
] | null | 2026-03-18T06:38:41Z | > **CRITICAL FIX (2026-03-19):** Fixed eos_token_id — previous versions caused infinite thinking loops. **You MUST re-download this model if you downloaded before today.**
> **Update (2026-03-18):** Models have been updated to v2.1.0 with VLM support, proper tokenizer, and fixed configs. **If you downloaded before t... | [] |
lmsys/SGLang-EAGLE3-Qwen3-235B-A22B-Instruct-2507-SpecForge-Meituan | lmsys | 2025-12-28T03:11:42Z | 1,026 | 1 | null | [
"safetensors",
"llama",
"dataset:mlabonne/open-perfectblend",
"license:mit",
"region:us"
] | null | 2025-12-22T14:26:21Z | 
# EAGLE3 For Qwen/Qwen3-235B-A22B-Instruct-2507
## About
**SpecBundle** is an open-source initiative, jointly driven by the community and industry, to democratize speculative decoding by providi... | [
{
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"text": "EAGLE3",
"label": "benchmark name",
"score": 0.7999000549316406
},
{
"start": 1078,
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"text": "EAGLE3",
"label": "benchmark name",
"score": 0.7691755890846252
},
{
"start": 1452,
"end": 1469,
"text": "Accepta... |
mradermacher/Seed-OSS-36B-Base-absolute-heresy-GGUF | mradermacher | 2026-02-06T03:41:36Z | 106 | 1 | transformers | [
"transformers",
"gguf",
"vllm",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:MuXodious/Seed-OSS-36B-Base-absolute-heresy",
"base_model:quantized:MuXodious/Seed-OSS-36B-Base-absolute-heresy",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversation... | null | 2026-02-04T21:21:12Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/AdQWENistrator-9B-i1-GGUF | mradermacher | 2026-04-19T12:26:26Z | 4,773 | 2 | transformers | [
"transformers",
"gguf",
"linux",
"sysadmin",
"kernel",
"assembly",
"fine-tuned",
"abliteration",
"uncensored",
"qwen3.5",
"duoneural",
"en",
"base_model:DuoNeural/AdQWENistrator-9B",
"base_model:quantized:DuoNeural/AdQWENistrator-9B",
"license:apache-2.0",
"endpoints_compatible",
"re... | null | 2026-04-15T10:52:15Z | ## 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_... | [
{
"start": 620,
"end": 645,
"text": "AdQWENistrator-9B-i1-GGUF",
"label": "benchmark name",
"score": 0.6418866515159607
}
] |
unsloth/SmolLM2-1.7B-Instruct-GGUF | unsloth | 2024-10-31T20:33:12Z | 486 | 21 | transformers | [
"transformers",
"gguf",
"llama",
"unsloth",
"en",
"base_model:HuggingFaceTB/SmolLM2-1.7B-Instruct",
"base_model:quantized:HuggingFaceTB/SmolLM2-1.7B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-10-31T20:23:43Z | # Finetune SmolLM2, Llama 3.2, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a free Google Colab Tesla T4 notebook for Llama 3.2 (3B) here: https://colab.research.google.com/drive/1Ys44kVvmeZtnICzWz0xgpRnrIOjZAuxp?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | [] |
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