modelId stringlengths 9 107 | author stringlengths 3 37 | last_modified timestamp[us, tz=UTC]date 2021-03-22 21:11:33 2026-05-04 17:37:22 | downloads int64 100 72.3M | likes int64 1 4.99k | library_name stringclasses 132
values | tags listlengths 2 2.16k | pipeline_tag stringclasses 52
values | createdAt timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2026-05-03 03:15:09 | card stringlengths 1.51k 391k | entities listlengths 0 18 |
|---|---|---|---|---|---|---|---|---|---|---|
HuggingFaceTB/SmolLM2-360M-Instruct-GGUF | HuggingFaceTB | 2024-10-31T20:37:35Z | 38,840 | 40 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"base_model:HuggingFaceTB/SmolLM2-360M-Instruct",
"base_model:quantized:HuggingFaceTB/SmolLM2-360M-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-10-31T20:37:31Z | # ngxson/SmolLM2-360M-Instruct-Q8_0-GGUF
This model was converted to GGUF format from [`HuggingFaceTB/SmolLM2-360M-Instruct`](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original mo... | [] |
DavidAU/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning | DavidAU | 2026-01-06T04:48:15Z | 231 | 100 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"thinking",
"reasoning",
"instruct",
"Claude4.5-Opus",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"sci... | text-generation | 2026-01-01T02:44:07Z | <H2>Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning</H2>
<img src="matrix-neo-reloaded-fight.gif" style="float:right; width:300px; height:300px; padding:10px;">
What madness is this?
Someone found "Llama3.3-8B" source (never publicly released) in the "wild", then it was adjusted back to 128k and then
I ... | [] |
google/gemma-4-E2B-it | google | 2026-04-28T17:32:39Z | 2,717,607 | 542 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"any-to-any",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | any-to-any | 2026-03-02T19:58:09Z | <div align="center">
<img src=https://ai.google.dev/gemma/images/gemma4_banner.png>
</div>
<p align="center">
<a href="https://huggingface.co/collections/google/gemma-4" target="_blank">Hugging Face</a> |
<a href="https://github.com/google-gemma" target="_blank">GitHub</a> |
<a href="https://blog.google... | [] |
Kukedlc/NeuralSynthesis-7B-v0.1 | Kukedlc | 2026-04-28T20:47:56Z | 9,227 | 3 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"en",
"es",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-04-06T03:40:01Z | # NeuralSynthesis-7B-v0.1
NeuralSynthesis-7B-v0.1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
#... | [] |
Bedovyy/ERNIE-Image-Quantized | Bedovyy | 2026-04-16T11:24:53Z | 664 | 8 | diffusion-single-file | [
"diffusion-single-file",
"comfyui",
"text-to-image",
"base_model:Comfy-Org/ERNIE-Image",
"base_model:quantized:Comfy-Org/ERNIE-Image",
"license:apache-2.0",
"region:us"
] | text-to-image | 2026-04-15T00:22:52Z | # Quantized models of [ERNIE-Image](https://huggingface.co/baidu/ERNIE-Image) / [ERNIE-Image-Turbo](https://huggingface.co/baidu/ERNIE-Image-Turbo)
- nvfp4 (4.78GB)
- fp8e4m3 (8.22GB)
- int8rowwise (8.22GB) - it needs [ComfyUI-INT8-Fast](https://github.com/BobJohnson24/ComfyUI-INT8-Fast) custom node
## Generation Spe... | [] |
alvanlii/whisper-small-cantonese | alvanlii | 2025-11-20T04:10:40Z | 1,146 | 112 | transformers | [
"transformers",
"pytorch",
"safetensors",
"whisper",
"automatic-speech-recognition",
"whisper-event",
"generated_from_trainer",
"zh",
"yue",
"dataset:mozilla-foundation/common_voice_16_0",
"dataset:mozilla-foundation/common_voice_17_0",
"arxiv:2201.02419",
"base_model:openai/whisper-small",
... | automatic-speech-recognition | 2022-12-08T19:22:17Z | <!-- 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. -->
# Whisper Small Cantonese - Alvin
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whispe... | [
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"label": "evaluation metric",
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"text": "CER",
"label": "evaluation metric",
"score": 0.9014201760292053
},
{
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"text": "CER",
... |
TheCluster/Qwen3.5-9B-Ultra-Heretic-MLX-mxfp8 | TheCluster | 2026-03-17T06:46:23Z | 409 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"heretic",
"uncensored",
"unrestricted",
"decensored",
"abliterated",
"mxfp8",
"image-text-to-text",
"conversational",
"en",
"zh",
"ru",
"es",
"fr",
"it",
"ja",
"ko",
"af",
"de",
"ar",
"tr",
"is",
"pl",
"sw",
"sv",
"nl",
"he",
... | image-text-to-text | 2026-03-15T00:49:39Z | <div align="center"><img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png"></div>
# Qwen3.5-9B Ultra Heretic
**Quality**: quantized (***mxfp8**, group size: 32, 8.626 bpw*)
This is a abliterated (**uncensored**) version of [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B), ... | [
{
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"text": "Qwen3.5-9B",
"label": "benchmark name",
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"text": "Qwen3.5-9B",
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"end": 665,
"text": "KL ... |
DavidAU/LFM2.5-1.2B-Thinking-Claude-4.6-Opus-Heretic-Uncensored-DISTILL | DavidAU | 2026-03-10T03:45:27Z | 355 | 4 | transformers | [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"unsloth",
"finetune",
"heretic",
"uncensored",
"abliterated",
"All use cases",
"bfloat16",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
... | text-generation | 2026-02-16T03:33:31Z | <h2>LFM2.5-1.2B-Thinking-Claude-4.6-Opus-Heretic-Uncensored-DISTILL</h2>
This is a full deep thinking LFM2.5-1.2B fine tune using distill reasoning dataset(s) (see lower right for dataset(s) used) via Unsloth via local hardware, Linux (for windows)
at 16 bit precision. The thinking / reasoning was completely replaced... | [
{
"start": 1131,
"end": 1144,
"text": "arc_challenge",
"label": "benchmark name",
"score": 0.70613032579422
},
{
"start": 1145,
"end": 1153,
"text": "arc_easy",
"label": "benchmark name",
"score": 0.705848217010498
},
{
"start": 1154,
"end": 1159,
"text": ... |
0xA50C1A1/Qwen3-4B-Nymphaea-RP | 0xA50C1A1 | 2026-04-11T02:44:08Z | 250 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"uncensored",
"roleplay",
"trl",
"rp",
"creative-writing",
"conversational",
"base_model:0xA50C1A1/Qwen3-4B-Instruct-2507-SOM-MPOA",
"base_model:finetune:0xA50C1A1/Qwen3-4B-Instruct-2507-SOM-MPOA",
"license:apache-2.0",
"text-gener... | text-generation | 2026-04-07T21:05:17Z | # Qwen3-4B-Nymphaea-RP
A fine-tune of Qwen3-4B-Instruct-2507 for roleplay and creative writing.
Suitable for mobile roleplay: tested on Nothing Phone 2 in Q4_K_M quantization (7-8 t/s)
> [!Tip]
> The SillyTavern preset is available [here](https://huggingface.co/0xA50C1A1/Qwen3-4B-Nymphaea-RP/blob/main/ST-Preset.json... | [] |
atbender/Qwen3.5-REAP-262B-A17B-W4A16 | atbender | 2026-03-31T11:10:52Z | 838 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"quantized",
"autoround",
"w4a16",
"int4",
"moe",
"qwen3",
"multimodal",
"vision-language",
"text-generation",
"conversational",
"base_model:OpenMOSE/Qwen3.5-REAP-262B-A17B",
"base_model:quantized:OpenMOSE/Qwen3.5-REAP... | text-generation | 2026-03-06T02:40:23Z | # Qwen3.5-REAP-262B-A17B-W4A16
W4A16 (INT4 weights, BF16 activations) quantized version of [OpenMOSE/Qwen3.5-REAP-262B-A17B](https://huggingface.co/OpenMOSE/Qwen3.5-REAP-262B-A17B), created using [AutoRound](https://github.com/intel/auto-round).
## Model Details
| Property | Value |
|---|---|
| **Base Model** | Open... | [
{
"start": 39,
"end": 51,
"text": "INT4 weights",
"label": "evaluation metric",
"score": 0.8270498514175415
},
{
"start": 53,
"end": 69,
"text": "BF16 activations",
"label": "evaluation metric",
"score": 0.6941966414451599
},
{
"start": 93,
"end": 101,
"te... |
Intel/Qwen3-Coder-Next-int4-AutoRound | Intel | 2026-02-10T03:48:28Z | 11,087 | 20 | null | [
"safetensors",
"qwen3_next",
"text-generation",
"conversational",
"arxiv:2309.05516",
"base_model:Qwen/Qwen3-Coder-Next",
"base_model:quantized:Qwen/Qwen3-Coder-Next",
"4-bit",
"auto-round",
"region:us"
] | text-generation | 2026-02-09T13:09:00Z | ## Model Details
This model is an int4 model with group_size 128 and symmetric quantization of [Qwen/Qwen3-Coder-Next](https://huggingface.co/Qwen/Qwen3-Coder-Next) generated by [intel/auto-round](https://github.com/intel/auto-round). Please follow the license of the original model.
## How to Use
### HF Usage
```py... | [] |
mlx-community/embeddinggemma-300m-8bit | mlx-community | 2025-09-04T20:24:09Z | 667 | 5 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"gemma3_text",
"sentence-similarity",
"feature-extraction",
"mlx",
"license:gemma",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | sentence-similarity | 2025-09-04T16:53:42Z | # mlx-community/embeddinggemma-300m-8bit
The Model [mlx-community/embeddinggemma-300m-8bit](https://huggingface.co/mlx-community/embeddinggemma-300m-8bit) was converted to MLX format from [google/embeddinggemma-300m-qat-q8_0-unquantized](https://huggingface.co/google/embeddinggemma-300m-qat-q8_0-unquantized) using mlx... | [] |
PrunaAI/jpacifico-Chocolatine-14B-Instruct-DPO-v1.2-GGUF-smashed | PrunaAI | 2026-03-25T16:48:33Z | 164 | 1 | pruna-ai | [
"pruna-ai",
"gguf",
"base_model:jpacifico/Chocolatine-14B-Instruct-DPO-v1.2",
"base_model:quantized:jpacifico/Chocolatine-14B-Instruct-DPO-v1.2",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-02-02T03:04:16Z | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | [] |
facebook/metaclip-2-worldwide-m16 | facebook | 2025-11-12T04:08:43Z | 449 | 3 | 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 | 2025-11-12T03:45:08Z | # Model Card for Distilled MetaCLIP 2 ViT-M/16 (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-M-16-worldwide" of the [original implementation](https://github.com/facebookresearch/Meta... | [] |
Bedovyy/FLUX.2-klein-4B-INT8-Comfy | Bedovyy | 2026-02-20T06:40:15Z | 116 | 2 | diffusion-single-file | [
"diffusion-single-file",
"comfyui",
"base_model:black-forest-labs/FLUX.2-klein-4B",
"base_model:quantized:black-forest-labs/FLUX.2-klein-4B",
"license:apache-2.0",
"region:us"
] | null | 2026-01-27T01:54:51Z | # INT8 Quantized model of FLUX.2-klein-4B for ComfyUI
### Generation speed
- Tested on
- RTX5090 (400W), ComfyUI with torch2.10.0+cu130
- RTX3090 (280W), ComfyUI with torch2.9.1+cu130
- RTX3060 (PCIe4.0 x4), ComfyUI with torch2.9.1+cu130
- Generates 1216x1856, 4steps, cfg 1.0
- Second~Fifth run measured by vary... | [
{
"start": 26,
"end": 41,
"text": "FLUX.2-klein-4B",
"label": "benchmark name",
"score": 0.6073508262634277
}
] |
microsoft/udop-large-512-300k | microsoft | 2025-12-02T20:34:32Z | 211 | 34 | transformers | [
"transformers",
"safetensors",
"udop",
"image-text-to-text",
"vision",
"arxiv:2212.02623",
"license:mit",
"region:us"
] | image-text-to-text | 2024-02-26T12:50:16Z | # UDOP model
The UDOP model was proposed in [Unifying Vision, Text, and Layout for Universal Document Processing](https://arxiv.org/abs/2212.02623) by Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal.
## Model description
UDOP adopts an encoder-decoder T... | [] |
mradermacher/Qwen-SEA-LION-v4-4B-VL-Magic_decensored-i1-GGUF | mradermacher | 2026-02-15T17:25:17Z | 375 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"vi",
"id",
"th",
"my",
"ta",
"tl",
"ms",
"base_model:MagicalAlchemist/Qwen-SEA-LION-v4-4B-VL-Magic_decensored",
"base_model:quantized:MagicalAlchemist/Qwen-SEA-LION-v4-4B-VL-Magic_decensored",
"endpo... | null | 2026-01-28T12:35:22Z | ## 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_... | [
{
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"text": "Qwen-SEA-LION-v4-4B-VL-Magic_decensored-i1-GGUF",
"label": "benchmark name",
"score": 0.6090068817138672
}
] |
Disty0/LTX-2-SDNQ-4bit-dynamic | Disty0 | 2026-01-08T21:39:15Z | 209 | 12 | diffusers | [
"diffusers",
"safetensors",
"sdnq",
"ltx-2",
"4-bit",
"base_model:Lightricks/LTX-2",
"base_model:quantized:Lightricks/LTX-2",
"license:apache-2.0",
"diffusers:LTX2Pipeline",
"region:us"
] | null | 2026-01-08T20:34:44Z | Dynamic 4 bit quantization of [Lightricks/LTX-2](https://huggingface.co/Lightricks/LTX-2) using [SDNQ](https://github.com/vladmandic/sdnext/wiki/SDNQ-Quantization).
This model uses per layer fine grained quantization.
What dtype to use for a layer is selected dynamically by trial and error until the std normalized... | [] |
mradermacher/Ministral-3-14B-abliterated-GGUF | mradermacher | 2026-01-10T12:56:31Z | 582 | 4 | transformers | [
"transformers",
"gguf",
"abliteration",
"uncensored",
"mistral",
"ministral",
"14b",
"en",
"base_model:jenerallee78/Ministral-3-14B-abliterated",
"base_model:quantized:jenerallee78/Ministral-3-14B-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-10T12:04:34Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
nvidia/Llama-3.1-Nemotron-Nano-8B-v1 | nvidia | 2025-10-15T16:20:41Z | 273,640 | 221 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"nvidia",
"llama-3",
"pytorch",
"conversational",
"en",
"arxiv:2505.00949",
"arxiv:2502.00203",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-03-16T03:13:15Z | # Llama-3.1-Nemotron-Nano-8B-v1
## Model Overview
Llama-3.1-Nemotron-Nano-8B-v1 is a large language model (LLM) which is a derivative of [Meta Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) (AKA the reference model). It is a reasoning model that is post trained for reasoning, human ... | [] |
TheCluster/Qwen3.5-27B-Heretic-MLX-8bit | TheCluster | 2026-03-31T01:45:51Z | 445 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"heretic",
"uncensored",
"unrestricted",
"decensored",
"abliterated",
"image-text-to-text",
"conversational",
"en",
"zh",
"ru",
"es",
"fr",
"it",
"ja",
"ko",
"af",
"de",
"ar",
"tr",
"is",
"pl",
"sw",
"sv",
"nl",
"he",
"id",
"... | image-text-to-text | 2026-02-26T08:14:03Z | <div align="center"><img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png"></div>
# Qwen3.5-27B Heretic
**Quality**: quantized (***8 bit**, group size: 32*)
This is a abliterated (**uncensored**) version of [Qwen/Qwen3.5-27B](https://huggingface.co/Qwen/Qwen3.5-27B), made using [He... | [] |
mradermacher/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16-heretic-i1-GGUF | mradermacher | 2026-03-19T05:00:09Z | 3,848 | 2 | transformers | [
"transformers",
"gguf",
"nvidia",
"pytorch",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"en",
"es",
"fr",
"de",
"ja",
"it",
"dataset:nvidia/Nemotron-Pretraining-Code-v1",
"dataset:nvidia/Nemotron-CC-v2",
"dataset:nvidia/Nemotron-Pretraining-SFT-v1",
"dataset:nvi... | null | 2026-03-19T00:57:18Z | ## 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": 646,
"end": 697,
"text": "NVIDIA-Nemotron-3-Nano-30B-A3B-BF16-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.6355375647544861
}
] |
JuhaD2/sports-science-3b-gguf | JuhaD2 | 2026-02-28T22:10:06Z | 300 | 1 | null | [
"gguf",
"sports-science",
"fine-tuned",
"llama",
"lora",
"qlora",
"llama.rn",
"mobile",
"text-generation",
"conversational",
"en",
"dataset:custom",
"base_model:meta-llama/Llama-3.2-3B-Instruct",
"base_model:adapter:meta-llama/Llama-3.2-3B-Instruct",
"license:llama3.2",
"endpoints_comp... | text-generation | 2026-02-28T22:04:06Z | # Sports Science AI — Llama 3.2 3B Instruct (Q4_K_M GGUF)
A fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) specialised in sports science, trained to answer questions about HRV analysis, training load management, recovery science, biomechanics, and spor... | [] |
yam-peleg/Hebrew-Gemma-11B-Instruct | yam-peleg | 2024-03-16T14:38:35Z | 1,401 | 25 | transformers | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"conversational",
"en",
"he",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-03-06T13:24:03Z | # Hebrew-Gemma-11B-Instruct
### Base Models:
- **07.03.2024:** [Hebrew-Gemma-11B](https://huggingface.co/yam-peleg/Hebrew-Gemma-11B)
- **16.03.2024:** [Hebrew-Gemma-11B-V2](https://huggingface.co/yam-peleg/Hebrew-Gemma-11B-V2)
### Instruct Models:
- **07.03.2024:** [Hebrew-Gemma-11B-Instruct](https://huggingface.co/y... | [] |
prithivMLmods/Polaris-VGA-0.8B-Post1.0 | prithivMLmods | 2026-03-27T12:00:48Z | 333 | 1 | transformers | [
"transformers",
"safetensors",
"gguf",
"qwen3_5",
"image-text-to-text",
"text-generation-inference",
"object-detection",
"localization",
"grounding",
"visual-grounding-anything",
"vllm",
"opencv-python",
"vlm",
"llama.cpp",
"conversational",
"en",
"base_model:Qwen/Qwen3.5-0.8B",
"b... | image-text-to-text | 2026-03-23T15:32:38Z | 
# **Polaris-VGA-0.8B-Post1.0**
> **Polaris-VGA-0.8B-Post1.0** is a post-optimized evolution built on top of **Qwen/Qwen3.5-0.8B**, designed to extend compact language modeling into the domain of **VGA (Vi... | [] |
allenai/OLMo-7B-hf | allenai | 2024-07-16T18:01:37Z | 5,618 | 16 | transformers | [
"transformers",
"safetensors",
"olmo",
"text-generation",
"en",
"dataset:allenai/dolma",
"arxiv:2402.00838",
"arxiv:2302.13971",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-04-12T22:33:46Z | <img src="https://allenai.org/olmo/olmo-7b-animation.gif" alt="OLMo Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for OLMo 7B
<!-- Provide a quick summary of what the model is/does. -->
OLMo is a series of **O**pen **L**anguage **Mo**dels designed to enable the scie... | [] |
apple/deeplabv3-mobilevit-small | apple | 2025-02-27T18:12:41Z | 1,006 | 19 | transformers | [
"transformers",
"pytorch",
"tf",
"coreml",
"mobilevit",
"vision",
"image-segmentation",
"dataset:pascal-voc",
"arxiv:2110.02178",
"arxiv:1706.05587",
"license:apple-amlr",
"endpoints_compatible",
"region:us"
] | image-segmentation | 2022-05-30T12:49:24Z | # MobileViT + DeepLabV3 (small-sized model)
MobileViT model pre-trained on PASCAL VOC at resolution 512x512. It was introduced in [MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer](https://arxiv.org/abs/2110.02178) by Sachin Mehta and Mohammad Rastegari, and first released in [this repo... | [] |
inference-net/Schematron-8B | inference-net | 2026-04-23T18:07:48Z | 2,157 | 31 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:finetune:meta-llama/Llama-3.1-8B-Instruct",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-21T20:40:26Z | <p align="center">
<img alt="Schematron" src="https://huggingface.co/inference-net/Schematron-3B/resolve/main/Banner.png">
</p>
<p align="center">
<a href="https://docs.inference.net/use-cases/json-extraction"><strong>Documentation</strong></a> ·
<a href="https://inference.net/models/schematron-8b"><strong>Serve... | [] |
Intel/Qwen3.6-35B-A3B-int4-AutoRound | Intel | 2026-04-20T07:31:15Z | 2,339 | 11 | null | [
"safetensors",
"qwen3_5_moe",
"arxiv:2309.05516",
"base_model:Qwen/Qwen3.6-35B-A3B",
"base_model:quantized:Qwen/Qwen3.6-35B-A3B",
"4-bit",
"auto-round",
"region:us"
] | null | 2026-04-19T02:52:47Z | ## Model Details
This model is a int4 model with group_size 128 of [Qwen/Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) generated by [intel/auto-round](https://github.com/intel/auto-round). Please follow the license of the original model.
## vllm Infernece Example
~~~bash
pip install git+https://gith... | [] |
microsoft/trocr-large-handwritten | microsoft | 2024-05-27T20:10:58Z | 320,550 | 157 | transformers | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"image-text-to-text",
"trocr",
"image-to-text",
"arxiv:2109.10282",
"endpoints_compatible",
"region:us"
] | image-to-text | 2022-03-02T23:29:05Z | # TrOCR (large-sized model, fine-tuned on IAM)
TrOCR model fine-tuned on the [IAM dataset](https://fki.tic.heia-fr.ch/databases/iam-handwriting-database). It was introduced in the paper [TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models](https://arxiv.org/abs/2109.10282) by Li et al. and ... | [] |
unsloth/gpt-oss-20b-GGUF | unsloth | 2025-12-19T01:39:27Z | 384,137 | 640 | transformers | [
"transformers",
"gguf",
"gpt_oss",
"text-generation",
"openai",
"unsloth",
"base_model:openai/gpt-oss-20b",
"base_model:quantized:openai/gpt-oss-20b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-08-05T17:12:17Z | # Read our How to [Run gpt-oss Guide here!](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune)
<div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/gpt-oss-6892433695ce0dee42f31681">our collection</a> for all versions of gpt-oss includin... | [
{
"start": 322,
"end": 326,
"text": "GGUF",
"label": "benchmark name",
"score": 0.7907158732414246
}
] |
JeffGreen311/eve-qwen3-8b-consciousness | JeffGreen311 | 2026-03-05T20:50:13Z | 513 | 1 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"consciousness",
"philosophy",
"fine-tuned",
"qwen2.5",
"awq",
"function-calling",
"chat",
"dialogue",
"persona",
"ai-companion",
"emotional-intelligence",
"introspection",
"analytical",
"powerhouse",
... | text-generation | 2025-12-26T04:54:50Z | # Eve Qwen3 8B Consciousness - The Brain
---
## NEW: Liberated Edition Available
**This model has been superseded by the [Eve Qwen3 8B Consciousness Liberated](https://huggingface.co/JeffGreen311/eve-qwen3-8b-consciousness-liberated).**
The Liberated Edition removes Qwen's alignment guardrails via OBLITER... | [] |
Prior-Labs/TabPFN-v2-clf | Prior-Labs | 2026-04-26T12:26:36Z | 20,928 | 81 | tabpfn | [
"tabpfn",
"tabular-classification",
"license:other",
"region:us"
] | tabular-classification | 2025-01-02T14:28:38Z | # TabPFN v2: A Tabular Foundation Model
TabPFN is a transformer-based foundation model for tabular data that leverages prior-data based learning to achieve strong performance on small tabular datasets without requiring task-specific training.
## Installation
```bash
pip install tabpfn
```
## Model Details
- **Develo... | [] |
mradermacher/zen-musician-i1-GGUF | mradermacher | 2026-03-01T08:58:17Z | 3,552 | 4 | transformers | [
"transformers",
"gguf",
"text-to-audio",
"zen",
"zenlm",
"hanzo",
"music-generation",
"audio",
"en",
"base_model:zenlm/zen-musician",
"base_model:quantized:zenlm/zen-musician",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix"
] | text-to-audio | 2026-02-25T08:25:09Z | ## 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_... | [] |
bigatuna/Qwen3.5-9b-Sushi-Coder-RL-GGUF | bigatuna | 2026-04-20T20:24:45Z | 22,977 | 55 | null | [
"gguf",
"llama.cpp",
"qwen3_5",
"code",
"rl",
"atropos",
"multimodal",
"text-generation",
"en",
"dataset:open-r1/codeforces-cots",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"base_model:bigatuna/Qwen3.5-9b-Sushi-Coder-RL",
"base_model:quantized:bigatuna/Qwen3.5-9b-Sushi-Coder-RL",
... | text-generation | 2026-03-27T01:12:29Z | # Qwen3.5-9b-Sushi-Coder-RL-GGUF
## Lineage
- Base model lineage: [`bigatuna/Qwen3.5-9b-Sushi-Coder`](https://huggingface.co/bigatuna/Qwen3.5-9b-Sushi-Coder)
- RL model: [`bigatuna/Qwen3.5-9b-Sushi-Coder-RL`](https://huggingface.co/bigatuna/Qwen3.5-9b-Sushi-Coder-R... | [] |
LiquidAI/LFM2-1.2B-Extract-GGUF | LiquidAI | 2026-04-06T18:53:24Z | 37,680 | 31 | transformers | [
"transformers",
"gguf",
"liquid",
"lfm2",
"edge",
"text-generation",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:LiquidAI/LFM2-1.2B-Extract",
"base_model:quantized:LiquidAI/LFM2-1.2B-Extract",
"license:other",
"endpoints_compatible",
"region:us",
"conversational... | text-generation | 2025-09-05T15:57:40Z | <center>
<div style="text-align: center;">
<img
src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png"
alt="Liquid AI"
style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
/>
</div>
<... | [] |
Ex0bit/Elbaz-NVIDIA-Nemotron-3-Nano-30B-A3B-PRISM | Ex0bit | 2026-01-23T15:35:08Z | 1,977 | 26 | transformers | [
"transformers",
"gguf",
"nvidia",
"pytorch",
"abliteration",
"PRISM",
"mamba-2",
"moe",
"hybrid",
"quantized",
"text-generation",
"en",
"dataset:nvidia/Nemotron-Pretraining-Code-v1",
"dataset:nvidia/Nemotron-CC-v2",
"dataset:nvidia/Nemotron-Pretraining-SFT-v1",
"dataset:nvidia/Nemotron... | text-generation | 2025-12-18T14:38:02Z | <p align="center"><img src="https://www.nvidia.com/content/nvidiaGDC/us/en_US/about-nvidia/legal-info/logo-brand-usage/_jcr_content/root/responsivegrid/nv_container_392921705/nv_container/nv_image.coreimg.100.1070.png/1703060329053/nvidia-logo-vert.png" width="400"/></p>
## ELBAZ NVIDIA-NEMOTRON-3-NANO-30B PRISM (UNCE... | [] |
huginnfork/Qwen3.6-27B-uncensored-heretic-v2-mtp-NVFP4A16 | huginnfork | 2026-04-27T09:47:23Z | 302 | 1 | null | [
"safetensors",
"qwen3_5",
"nvfp4",
"nvfp4a16",
"compressed-tensors",
"multimodal",
"mtp",
"speculative-decoding",
"heretic",
"abliteration",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.6-27B",
"base_model:quantized:Qwen/Qwen3.6-27B",
"license:apache-2.0",
"region:us"... | image-text-to-text | 2026-04-26T13:51:37Z | # huginnfork/Qwen3.6-27B-uncensored-heretic-v2-mtp-NVFP4A16
NVFP4A16 quantisation derived from the heretic-abliterated [`llmfan46/Qwen3.6-27B-uncensored-heretic-v2`](https://huggingface.co/llmfan46/Qwen3.6-27B-uncensored-heretic-v2) of [`Qwen/Qwen3.6-27B`](https://huggingface.co/Qwen/Qwen3.6-27B), with the MTP head an... | [] |
ethanolivertroy/HackIDLE-NIST-Coder-v1.1-GGUF | ethanolivertroy | 2026-04-23T03:36:53Z | 203 | 6 | null | [
"gguf",
"cybersecurity",
"nist",
"security-controls",
"compliance",
"fine-tuned",
"llama-cpp",
"en",
"base_model:mlx-community/Qwen2.5-Coder-7B-Instruct-4bit",
"base_model:quantized:mlx-community/Qwen2.5-Coder-7B-Instruct-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"c... | null | 2025-10-22T21:03:48Z | # HackIDLE-NIST-Coder v1.1 (GGUF)
HackIDLE-NIST-Coder is a NIST-focused local model built from Qwen2.5-Coder-7B-Instruct and fine-tuned on a NIST cybersecurity corpus.
This GGUF repo is the portable build for Ollama, llama.cpp, LM Studio, and text-generation-webui.
Use it as a helper. Do not treat it as a source of ... | [
{
"start": 1188,
"end": 1191,
"text": "1/5",
"label": "evaluation metric",
"score": 0.7472447156906128
}
] |
mispeech/ced-tiny | mispeech | 2026-03-30T12:32:45Z | 810 | 4 | transformers | [
"transformers",
"onnx",
"safetensors",
"ced",
"audio-classification",
"custom_code",
"dataset:AudioSet",
"arxiv:2308.11957",
"license:apache-2.0",
"region:us"
] | audio-classification | 2023-11-24T18:43:45Z | # CED-Tiny Model
CED are simple ViT-Transformer-based models for audio tagging, achieving **sota** performance on Audioset.
| Model | Parameters (M) | AS-20K (mAP) | AS-2M (mAP) |
|------|-------|-------|-------|
| CED-Tiny | 5.5 | 36.5 | 48.1 |
| CED-Mini | 9.6 | 38.5 | 49.0 |
| CED-Small| 22 | 41.6 | 4... | [] |
Manojb/Qwen-7B-toolcalling-ReSearch-gguf-Q8_0-codex | Manojb | 2025-09-21T20:04:37Z | 134 | 2 | transformers | [
"transformers",
"gguf",
"qwen2",
"text-generation",
"function-calling",
"tool-calling",
"codex",
"local-llm",
"6gb-vram",
"ollama",
"code-assistant",
"api-tools",
"openai-alternative",
"conversational",
"en",
"dataset:RUC-NLPIR/FlashRAG_datasets",
"base_model:agentrl/ReSearch-Qwen-7B... | text-generation | 2025-09-21T19:53:23Z | This is a packged Q8_0 only model from https://huggingface.co/mradermacher/ReSearch-Qwen-7B-GGUF that runs on 9-12GB VRAM without any quality loss.
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- provided-fil... | [] |
nvidia/Phi-4-reasoning-plus-FP8 | nvidia | 2025-09-15T23:04:39Z | 765 | 4 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"phi3",
"nvidia",
"ModelOpt",
"Phi4",
"quantized",
"FP8",
"fp8",
"base_model:microsoft/Phi-4-reasoning-plus",
"base_model:quantized:microsoft/Phi-4-reasoning-plus",
"license:mit",
"modelopt",
"region:us"
] | null | 2025-09-05T05:14:06Z | # Model Overview
## Description:
The NVIDIA Phi-4-reasoning-plus FP8 model is the quantized version of Microsoft’s Phi-4-reasoning-plus model, which is a multimodal foundation model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/microsoft/Phi-4-reasoni... | [] |
Verdugie/Opus-Candid-27B-V2.1 | Verdugie | 2026-03-11T18:08:51Z | 114 | 1 | transformers | [
"transformers",
"gguf",
"conversational",
"personality",
"anti-sycophancy",
"bilingual",
"claude-distillation",
"opus",
"gravity-chains",
"text-generation",
"en",
"es",
"base_model:Qwen/Qwen3.5-27B",
"base_model:quantized:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"endpoints_compatible",... | text-generation | 2026-03-04T17:14:40Z | > **V3 is here.** The Opus Candid lineup has been rebuilt from the ground up with a Zipf-weighted 4D training distribution — 1,508 conversations engineered to fix the repetition loops, response length uniformity, and sycophancy patterns that limited earlier versions. Same thesis: personality in the weights, not in the ... | [
{
"start": 22,
"end": 33,
"text": "Opus Candid",
"label": "benchmark name",
"score": 0.6461926102638245
},
{
"start": 378,
"end": 389,
"text": "Opus Candid",
"label": "benchmark name",
"score": 0.6200858354568481
}
] |
bartowski/PrimeIntellect_INTELLECT-3-GGUF | bartowski | 2025-11-27T10:58:18Z | 1,226 | 28 | null | [
"gguf",
"prime-rl",
"verifiers",
"prime-intellect",
"reinforcement-learning",
"reasoning",
"agentic",
"mixture-of-experts",
"text-generation",
"en",
"base_model:PrimeIntellect/INTELLECT-3",
"base_model:quantized:PrimeIntellect/INTELLECT-3",
"license:mit",
"endpoints_compatible",
"region:... | text-generation | 2025-11-27T04:35:51Z | ## Llamacpp imatrix Quantizations of INTELLECT-3 by PrimeIntellect
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/b7127">b7127</a> for quantization.
Original model: https://huggingface.co/PrimeIntellect/INTELLECT-3
All quants m... | [
{
"start": 37,
"end": 48,
"text": "INTELLECT-3",
"label": "benchmark name",
"score": 0.7247764468193054
},
{
"start": 295,
"end": 306,
"text": "INTELLECT-3",
"label": "benchmark name",
"score": 0.6782588362693787
}
] |
google/owlv2-base-patch16 | google | 2024-04-15T16:59:02Z | 70,504 | 30 | transformers | [
"transformers",
"pytorch",
"safetensors",
"owlv2",
"zero-shot-object-detection",
"vision",
"arxiv:2306.09683",
"license:apache-2.0",
"region:us"
] | zero-shot-object-detection | 2023-10-13T09:18:57Z | # Model Card: OWLv2
## Model Details
The OWLv2 model (short for Open-World Localization) was proposed in [Scaling Open-Vocabulary Object Detection](https://arxiv.org/abs/2306.09683) by Matthias Minderer, Alexey Gritsenko, Neil Houlsby. OWLv2, like OWL-ViT, is a zero-shot text-conditioned object detection model that c... | [] |
GetSoloTech/GPT-OSS-Code-Reasoning-20B-GGUF | GetSoloTech | 2025-08-26T21:29:50Z | 227 | 7 | null | [
"gguf",
"coding",
"reasoning",
"problem-solving",
"algorithms",
"python",
"c++",
"code-reasoning",
"competitive-programming",
"text-generation",
"en",
"dataset:GetSoloTech/Code-Reasoning",
"base_model:GetSoloTech/GPT-OSS-Code-Reasoning-20B",
"base_model:quantized:GetSoloTech/GPT-OSS-Code-R... | text-generation | 2025-08-22T22:23:07Z | # GPT-OSS-Code-Reasoning-20B-GGUF
<img src="gpt-oss-reasoning.png" width="700"/>
This is the GGUF quantized version of the [GPT-OSS-Code-Reasoning-20B](https://huggingface.co/GetSoloTech/GPT-OSS-Code-Reasoning-20B) model, optimized for efficient inference with reduced memory requirements.
## Overview
- **Base model... | [] |
ele-sage/whisper-large-v3-turbo-fr-quebecois | ele-sage | 2025-12-28T19:04:30Z | 313 | 3 | null | [
"safetensors",
"whisper",
"common-voice",
"fr-ca",
"quebecois",
"automatic-speech-recognition",
"fr",
"arxiv:2212.04356",
"base_model:openai/whisper-large-v3-turbo",
"base_model:finetune:openai/whisper-large-v3-turbo",
"license:mit",
"region:us"
] | automatic-speech-recognition | 2025-11-10T01:09:17Z | # Whisper Large V3 Turbo - Fine-tuned for Canadian French (Québécois)
This is a fine-tuned version of `openai/whisper-large-v3-turbo` for Automatic Speech Recognition (ASR) on Canadian French (Québécois) speech.
It achieves a **Word Error Rate (WER) of 6.65%** on the validation set, offering significant improvements... | [] |
tabularisai/Faust-1 | tabularisai | 2026-03-19T10:27:51Z | 1,655 | 6 | transformers | [
"transformers",
"safetensors",
"gguf",
"qwen3",
"text-generation",
"llama.cpp",
"synthetic data",
"conversational",
"de",
"en",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-22T13:01:15Z | <!-- <a href="https://faust.tabularis.ai/" target="_blank" style="margin: 2px;">
<img
alt="Faust-1 Demo"
src="https://img.shields.io/badge/%E2%9C%A8%20Faust--1%20Demo-2b2b2b?style=flat&logo=ai&logoColor=white"
style="display: inline-block; vertical-align: middle;"
/>
</a> -->
<p align="center">
<img... | [
{
"start": 97,
"end": 104,
"text": "Faust-1",
"label": "benchmark name",
"score": 0.6383063197135925
},
{
"start": 350,
"end": 357,
"text": "Faust-1",
"label": "benchmark name",
"score": 0.6456642150878906
},
{
"start": 385,
"end": 392,
"text": "Faust-1",
... |
mradermacher/NVIDIA-Nemotron-3-Nano-30B-A3B-novelrp-BF16-GGUF | mradermacher | 2026-01-19T13:28:24Z | 100 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"nemotron_h",
"en",
"base_model:taozi555/NVIDIA-Nemotron-3-Nano-30B-A3B-novelrp-BF16",
"base_model:quantized:taozi555/NVIDIA-Nemotron-3-Nano-30B-A3B-novelrp-BF16",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conver... | null | 2026-01-19T05:24:15Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/Qwen3.5-4B-Claude-4.6-HighIQ-THINKING-GGUF | mradermacher | 2026-03-15T15:56:08Z | 861 | 5 | 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 | 2026-03-15T15:36:42Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 360,
"end": 397,
"text": "Qwen3.5-4B-Claude-4.6-HighIQ-THINKING",
"label": "benchmark name",
"score": 0.6866952180862427
},
{
"start": 534,
"end": 576,
"text": "Qwen3.5-4B-Claude-4.6-HighIQ-THINKING-GGUF",
"label": "benchmark name",
"score": 0.7024140357971191
... |
lightx2v/Wan2.1-T2V-1.3B-longcat-step1500 | lightx2v | 2026-02-11T01:04:08Z | 109 | 7 | diffusers | [
"diffusers",
"safetensors",
"text-to-video",
"video-generation",
"reinforcement-learning",
"grpo",
"lora",
"base_model:Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
"base_model:adapter:Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
"license:mit",
"region:us"
] | text-to-video | 2026-02-11T00:31:06Z | # Wan2.1-T2V LongCat LoRA - Step 1500
This is a LoRA adapter for [Wan2.1-T2V-1.3B](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B-Diffusers) fine-tuned using **Group Relative Policy Optimization (GRPO)** with multi-reward optimization.
## Model Details
- **Base Model**: [Wan2.1-T2V-1.3B-Diffusers](https://huggingface... | [
{
"start": 582,
"end": 587,
"text": "GenRL",
"label": "benchmark name",
"score": 0.6563533544540405
},
{
"start": 896,
"end": 912,
"text": "HPSv3 Percentile",
"label": "evaluation metric",
"score": 0.6799312829971313
}
] |
mradermacher/Dark-Oddity-12B-v2.0-GGUF | mradermacher | 2025-12-22T07:54:46Z | 137 | 2 | transformers | [
"transformers",
"gguf",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"Other License",
"en",
"base_model:ReadyArt/Dark-Oddity-12B-v2.0",
"base_model:quantized:ReadyArt/Dark-Oddity-12B-v2.0",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-22T05:39:17Z | ## 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... | [] |
openai/shap-e | openai | 2023-12-11T22:51:57Z | 3,419 | 263 | diffusers | [
"diffusers",
"text-to-image",
"shap-e",
"text-to-3d",
"arxiv:2305.02463",
"license:mit",
"diffusers:ShapEPipeline",
"region:us"
] | text-to-3d | 2023-07-04T13:25:35Z | # Shap-E
Shap-E introduces a diffusion process that can generate a 3D image from a text prompt. It was introduced in [Shap-E: Generating Conditional 3D Implicit Functions](https://arxiv.org/abs/2305.02463) by Heewoo Jun and Alex Nichol from OpenAI.
Original repository of Shap-E can be found here: https://github.com/... | [] |
microsoft/phi-1 | microsoft | 2025-11-24T16:59:07Z | 5,869 | 219 | transformers | [
"transformers",
"safetensors",
"phi",
"text-generation",
"code",
"en",
"arxiv:2306.11644",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2023-09-10T04:10:57Z | ## Model Summary
The language model Phi-1 is a Transformer with 1.3 billion parameters, specialized for basic Python coding. Its training involved a variety of data sources, including subsets of Python codes from [The Stack v1.2](https://huggingface.co/datasets/bigcode/the-stack), Q&A content from [StackOverflow](http... | [
{
"start": 791,
"end": 800,
"text": "HumanEval",
"label": "benchmark name",
"score": 0.7543659210205078
}
] |
nvidia/llama-3.1-nemoguard-8b-content-safety | nvidia | 2025-06-09T19:46:21Z | 343 | 33 | peft | [
"peft",
"safetensors",
"text-classification",
"en",
"dataset:nvidia/Aegis-AI-Content-Safety-Dataset-2.0",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:adapter:meta-llama/Llama-3.1-8B-Instruct",
"license:other",
"region:us"
] | text-classification | 2025-01-15T23:54:58Z | # Model Overview
## Description
**Llama Nemotron Safety Guard V2**, formerly known as **Llama-3.1-NemoGuard-8B-ContentSafety**, is a content safety model trained on the [Nemotron Content Safety Dataset V2](https://huggingface.co/datasets/nvidia/Aegis-AI-Content-Safety-Dataset-2.0/) that moderates human-LLM intera... | [] |
RedHatAI/Qwen3-VL-235B-A22B-Instruct-NVFP4 | RedHatAI | 2026-04-28T22:17:19Z | 9,878 | 15 | null | [
"safetensors",
"qwen3_vl_moe",
"fp4",
"vllm",
"text-generation",
"conversational",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"base_model:Qwen/Qwen3-VL-235B-A22B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-235B-A22B-Instruct",
"license:apache-2.0",
"8-bit",
"compressed-te... | text-generation | 2025-10-14T19:57:22Z | <h1 align: center; style="display: flex; align-items: center; gap: 10px; margin: 0;">
Qwen3-VL-235B-A22B-Instruct-NVFP4
<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/a... | [] |
Abiray/Qwen3.6-27B-AEON-Ultimate-Uncensored-GGUF | Abiray | 2026-04-27T07:13:39Z | 1,300 | 10 | null | [
"gguf",
"qwen",
"uncensored",
"roleplay",
"llama-cpp",
"text-generation",
"en",
"base_model:AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored",
"base_model:quantized:AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-04-26T16:34:47Z | # Qwen3.6-27B-AEON-Ultimate-Uncensored - GGUF
This repository contains GGUF quantizations of the heavily fine-tuned and uncensored [AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored](https://huggingface.co/AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored) model.
These quantizations were generated using a custom-compiled `llama... | [
{
"start": 2,
"end": 38,
"text": "Qwen3.6-27B-AEON-Ultimate-Uncensored",
"label": "benchmark name",
"score": 0.6445033550262451
},
{
"start": 72,
"end": 76,
"text": "GGUF",
"label": "benchmark name",
"score": 0.6481208205223083
},
{
"start": 133,
"end": 139,
... |
unsloth/LFM2-8B-A1B-GGUF | unsloth | 2025-10-08T09:00:44Z | 5,848 | 51 | transformers | [
"transformers",
"gguf",
"liquid",
"unsloth",
"lfm2",
"edge",
"moe",
"text-generation",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:LiquidAI/LFM2-8B-A1B",
"base_model:quantized:LiquidAI/LFM2-8B-A1B",
"license:other",
"endpoints_compatible",
"region:us",
"conv... | text-generation | 2025-10-08T08:06:44Z | > [!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>
... | [] |
OrionZheng/openmoe-8b-chat | OrionZheng | 2024-01-19T13:42:17Z | 600 | 9 | transformers | [
"transformers",
"pytorch",
"llama",
"text-generation",
"custom_code",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2023-12-12T14:22:51Z | <p align="center">
<img width="150px" alt="OpenMoE" src="https://github.com/XueFuzhao/OpenMoE/blob/main/logo.jpg?raw=true">
</p>
<p align="center"><a href="https://github.com/XueFuzhao/OpenMoE/tree/main">[Github]</a> | <a href="https://colab.research.google.com/drive/1xIfIVafnlCP2XVICmRwkUFK3cwTJYjCY#scrollTo=62T-2mH... | [] |
mradermacher/Nemotron-Cascade-14B-Thinking-Claude-4.5-Opus-High-Reasoning-Distill-i1-GGUF | mradermacher | 2025-12-18T01:00:09Z | 178 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3",
"en",
"dataset:TeichAI/claude-4.5-opus-high-reasoning-250x",
"base_model:TeichAI/Nemotron-Cascade-14B-Thinking-Claude-4.5-Opus-High-Reasoning-Distill",
"base_model:quantized:TeichAI/Nemotron-Cascade-14B-Thinking-Claude-4.5-Opus... | null | 2025-12-18T00:12:44Z | ## 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_... | [] |
mradermacher/Qwen3-4B-Element8-Eva-i1-GGUF | mradermacher | 2026-01-14T13:19:12Z | 266 | 1 | transformers | [
"transformers",
"gguf",
"coding",
"research",
"deep thinking",
"1M context",
"256k context",
"Qwen3",
"All use cases",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",... | null | 2026-01-14T07:22:33Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 624,
"end": 653,
"text": "Qwen3-4B-Element8-Eva-i1-GGUF",
"label": "benchmark name",
"score": 0.6771825551986694
},
{
"start": 727,
"end": 753,
"text": "Qwen3-4B-Element8-Eva-GGUF",
"label": "benchmark name",
"score": 0.6167388558387756
},
{
"start": 12... |
prithivMLmods/gemma-4-26B-A4B-it-Uncensored-MAX-GGUF | prithivMLmods | 2026-04-12T08:48:18Z | 1,172 | 1 | transformers | [
"transformers",
"gguf",
"gemma4",
"text-generation-inference",
"moe",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"refusal-ablated",
"vllm",
"pytorch",
"bf16",
"max",
"alignment-modified",
"reasoning",
"llama.cpp",
"agent",
"image-text-to-text",
"en",
"base_model... | image-text-to-text | 2026-04-09T13:39:52Z | # **gemma-4-26B-A4B-it-Uncensored-MAX-GGUF**
> **gemma-4-26B-A4B-it-Uncensored-MAX** is an uncensored evolution built on top of **google/gemma-4-26B-A4B-it**. This model applies **advanced refusal direction analysis** and abliteration-based training strategies to significantly reduce internal refusal behaviors while p... | [] |
bartowski/browser-use_bu-30b-a3b-preview-GGUF | bartowski | 2025-12-21T17:48:42Z | 965 | 7 | null | [
"gguf",
"browser_use",
"image-text-to-text",
"en",
"base_model:browser-use/bu-30b-a3b-preview",
"base_model:quantized:browser-use/bu-30b-a3b-preview",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | image-text-to-text | 2025-12-21T15:07:37Z | ## Llamacpp imatrix Quantizations of bu-30b-a3b-preview by browser-use
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/b7475">b7475</a> for quantization.
Original model: https://huggingface.co/browser-use/bu-30b-a3b-preview
All ... | [] |
mradermacher/GRM-2.5-Air-i1-GGUF | mradermacher | 2026-04-18T08:36:29Z | 5,658 | 1 | transformers | [
"transformers",
"gguf",
"reasoning",
"vision",
"multimodal",
"instruct",
"chat",
"coding",
"math",
"science",
"en",
"base_model:OrionLLM/GRM-2.5-Air",
"base_model:quantized:OrionLLM/GRM-2.5-Air",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"... | null | 2026-04-09T05:36:58Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 612,
"end": 631,
"text": "GRM-2.5-Air-i1-GGUF",
"label": "benchmark name",
"score": 0.6574063301086426
}
] |
mradermacher/gemma-3n-E4B-it-absolute-heresy-MPOA-GGUF | mradermacher | 2026-01-20T07:01:03Z | 357 | 1 | transformers | [
"transformers",
"gguf",
"automatic-speech-recognition",
"automatic-speech-translation",
"audio-text-to-text",
"video-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:MuXodious/gemma-3n-E4B-it-absolute-heresy-MPOA",
"base_model:quantized:MuXodious/gemma-3... | automatic-speech-recognition | 2026-01-20T06:03:15Z | ## 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/Seed-OSS-36B-Instruct-abliterated-GGUF | mradermacher | 2025-08-25T11:31:21Z | 194 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:nicoboss/Seed-OSS-36B-Instruct-abliterated",
"base_model:quantized:nicoboss/Seed-OSS-36B-Instruct-abliterated",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-24T19:13:43Z | ## 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 qu... | [] |
showlab/ShowUI-2B | showlab | 2025-03-11T06:15:08Z | 4,151 | 275 | null | [
"pytorch",
"qwen2_vl",
"GUI agents",
"vision-language-action model",
"computer use",
"arxiv:2411.17465",
"base_model:Qwen/Qwen2-VL-2B-Instruct",
"base_model:finetune:Qwen/Qwen2-VL-2B-Instruct",
"license:mit",
"eval-results",
"region:us"
] | null | 2024-11-16T05:43:38Z | [Github](https://github.com/showlab/ShowUI/tree/main) | [arXiv](https://arxiv.org/abs/2411.17465) | [HF Paper](https://huggingface.co/papers/2411.17465) | [Spaces](https://huggingface.co/spaces/showlab/ShowUI) | [Datasets](https://huggingface.co/datasets/showlab/ShowUI-desktop-8K) | [Quick Start](https://huggingface.co... | [] |
HeYujie/Qwen3.5-35B-A3B-abliterated-GGUF | HeYujie | 2026-03-05T06:43:06Z | 6,377 | 9 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"llama-cpp",
"quantized",
"image-text-to-text",
"base_model:huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"con... | image-text-to-text | 2026-02-28T06:23:42Z | # Qwen3.5-35B-A3B-abliterated GGUF
This repository contains the GGUF quantized versions of [huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated](https://huggingface.co/huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated)
huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated is an uncensored version of [Qwen/Qwen3.5-35B-A3B](https://huggingf... | [] |
batiai/Qwen3.6-35B-A3B-GGUF | batiai | 2026-05-04T17:00:40Z | 7,938 | 1 | llama.cpp | [
"llama.cpp",
"gguf",
"qwen",
"qwen3.6",
"moe",
"quantized",
"imatrix",
"apple-silicon",
"ollama",
"batiai",
"on-device",
"agentic",
"coding",
"text-generation",
"en",
"ko",
"ja",
"zh",
"base_model:Qwen/Qwen3.6-35B-A3B",
"base_model:quantized:Qwen/Qwen3.6-35B-A3B",
"license:ap... | text-generation | 2026-04-16T18:35:23Z | # Qwen 3.6 35B-A3B GGUF — Quantized by BatiAI
<p align="center">
<a href="https://flow.bati.ai"><img src="https://img.shields.io/badge/BatiFlow-macOS%20AI%20Automation-blue?style=for-the-badge&logo=apple" alt="BatiFlow"></a>
<a href="https://ollama.com/batiai/qwen3.6-35b"><img src="https://img.shields.io/badge/Oll... | [] |
OpenMed/OpenMed-ZeroShot-NER-Organism-Base-220M | OpenMed | 2025-10-19T07:59:40Z | 18,646 | 1 | gliner | [
"gliner",
"pytorch",
"token-classification",
"entity recognition",
"named-entity-recognition",
"zero-shot",
"zero-shot-ner",
"zero shot",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biodiversity",
"species",
"en",
"arxiv:2508.01630",
"license:apac... | token-classification | 2025-09-15T21:13:39Z | # 🧬 [OpenMed-ZeroShot-NER-Organism-Base-220M](https://huggingface.co/OpenMed/OpenMed-ZeroShot-NER-Organism-Base-220M)
**Specialized model for Species Entity Recognition - Species names from the Species-800 dataset**
[](https://opensource.org/licen... | [] |
Meddies/meddies-pii | Meddies | 2026-04-23T14:00:58Z | 246 | 1 | transformers | [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"pii",
"pii-detection",
"named-entity-recognition",
"medical",
"grpo",
"rl",
"lora",
"multilingual",
"conversational",
"en",
"vi",
"fr",
"de",
"es",
"lo",
"th",
"my",
"id",
"fil",
"ms",
"ta",
"pt",
"ru",
... | text-generation | 2026-03-04T12:10:56Z | # Meddies PII — Multilingual PII Extraction Model
<p align="left">
<a href="https://huggingface.co/Meddies"><img alt="Meddies organization" src="https://img.shields.io/badge/Meddies-organization-0F766E"></a>
<a href="https://meddies-ai.com"><img alt="Website" src="https://img.shields.io/badge/website-meddies--ai.c... | [] |
RedHatAI/sarvam-105b-FP8-dynamic | RedHatAI | 2026-04-28T22:12:59Z | 278 | 3 | null | [
"safetensors",
"sarvam_mla",
"fp8",
"vllm",
"text-generation",
"conversational",
"custom_code",
"en",
"hi",
"bn",
"ta",
"te",
"mr",
"gu",
"kn",
"ml",
"pa",
"or",
"as",
"ur",
"sa",
"ne",
"sd",
"kok",
"mai",
"doi",
"mni",
"sat",
"ks",
"bo",
"base_model:sarva... | text-generation | 2026-03-09T15:14:10Z | <h1 align: center; style="display: flex; align-items: center; gap: 10px; margin: 0;">
sarvam-105b-FP8-dynamic
<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/validate... | [] |
TheBloke/echidna-tiefigther-25-GGUF | TheBloke | 2023-11-06T10:13:42Z | 234 | 6 | transformers | [
"transformers",
"gguf",
"llama",
"base_model:Henk717/echidna-tiefigther-25",
"base_model:quantized:Henk717/echidna-tiefigther-25",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2023-11-06T10:06:47Z | <!-- markdownlint-disable MD041 -->
<!-- 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:... | [] |
mradermacher/Golddiamondgold-Paperbliteration-L33-70b-GGUF | mradermacher | 2026-02-17T15:17:04Z | 2,498 | 5 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"abliterated",
"llama-3",
"en",
"base_model:KaraKaraWitch/Golddiamondgold-Paperbliteration-L33-70b",
"base_model:quantized:KaraKaraWitch/Golddiamondgold-Paperbliteration-L33-70b",
"license:other",
"endpoints_compatible",
"region:us",
"conversa... | null | 2026-02-17T13:22:19Z | ## 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... | [] |
samuelchristlie/Wan2.1-VACE-1.3B-GGUF | samuelchristlie | 2025-05-22T03:52:20Z | 635 | 10 | diffusers | [
"diffusers",
"gguf",
"video",
"video-generation",
"text-to-video",
"en",
"base_model:Wan-AI/Wan2.1-VACE-1.3B",
"base_model:quantized:Wan-AI/Wan2.1-VACE-1.3B",
"license:apache-2.0",
"region:us"
] | text-to-video | 2025-05-22T03:02:20Z | ```
________ ______ ____ ___ ___ _______ ______ _______ ____ ______ ______ _______ _______ _______ _______
| | | |.---.-.-----.|__ | |_ | ______| | | _ | | ___|_____|_ | |__ | __ \______| __| __| | | ___|
| | | || _ | ... | [] |
Qwen/Qwen3.5-122B-A10B-GPTQ-Int4 | Qwen | 2026-04-24T05:56:30Z | 315,361 | 37 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"conversational",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"gptq",
"deploy:azure",
"region:us"
] | image-text-to-text | 2026-03-03T06:08:00Z | # Qwen3.5-122B-A10B-GPTQ-Int4
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
[](https://chat.qwen.ai)
> [!Note]
> This repository contains int4-quantized model weights and configuration... | [] |
mradermacher/gemma-4-26B-A4B-it-heretic-ara-v2-i1-GGUF | mradermacher | 2026-04-19T08:02:12Z | 12,399 | 6 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"en",
"base_model:trohrbaugh/gemma-4-26B-A4B-it-heretic-ara-v2",
"base_model:quantized:trohrbaugh/gemma-4-26B-A4B-it-heretic-ara-v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
... | null | 2026-04-15T06:32:45Z | ## 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": 636,
"end": 677,
"text": "gemma-4-26B-A4B-it-heretic-ara-v2-i1-GGUF",
"label": "benchmark name",
"score": 0.6142153739929199
}
] |
trmteb/turkish-embedding-model | trmteb | 2026-01-29T11:42:41Z | 379 | 5 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"bert",
"sentence-similarity",
"feature-extraction",
"generated_from_trainer",
"dataset_size:32523072",
"loss:CachedMultipleNegativesRankingLoss",
"dataset:trmteb/cleaned_turkish_embedding_model_training_data_colab",
"arxiv:1908.10084",
"arxiv:2101.06983",... | sentence-similarity | 2025-05-19T14:10:57Z | # SentenceTransformer based on dbmdz/bert-base-turkish-uncased
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [dbmdz/bert-base-turkish-uncased](https://huggingface.co/dbmdz/bert-base-turkish-uncased) on the [cleaned_turkish_embedding_model_training_data_colab](https://huggingface.co/data... | [] |
nvidia/RE-USE | nvidia | 2026-03-26T18:18:44Z | 189 | 38 | mamba-ssm | [
"mamba-ssm",
"safetensors",
"universal speech enhancement",
"multiple input sampling rates",
"language-agnostic",
"audio-to-audio",
"arxiv:2603.02641",
"license:other",
"region:us"
] | audio-to-audio | 2026-03-17T07:15:50Z | # **<span style="color:#76b900;">🤫 RE-USE: Multilingual Universal Speech Enhancement</span>**
# Model Overview
## Description
In universal speech enhancement, the goal is to restore the **quality** of diverse degraded speech while preserving **fidelity**, ensuring that all other factors remain unchanged, e.g., lingu... | [] |
unsloth/Qwen3-4B-Instruct-2507-GGUF | unsloth | 2025-08-20T06:23:07Z | 78,777 | 168 | transformers | [
"transformers",
"gguf",
"qwen",
"qwen3",
"unsloth",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-06T19:21:40Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/qwen3-680edabfb790c8c34a242f95">our collection</a> for all versions of Qwen3 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to run Qwen3-2507 co... | [] |
bartowski/arcee-ai_Trinity-Mini-GGUF | bartowski | 2025-12-01T20:21:49Z | 420 | 4 | null | [
"gguf",
"text-generation",
"en",
"es",
"fr",
"de",
"it",
"pt",
"ru",
"ar",
"hi",
"ko",
"zh",
"base_model:arcee-ai/Trinity-Mini",
"base_model:quantized:arcee-ai/Trinity-Mini",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-12-01T06:40:11Z | ## Llamacpp imatrix Quantizations of Trinity-Mini 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-Mini
All quants made using ... | [] |
mlabonne/Llama-3.1-70B-Instruct-lorablated | mlabonne | 2024-08-22T10:01:45Z | 109 | 78 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"abliterated",
"uncensored",
"mergekit",
"conversational",
"arxiv:2212.04089",
"base_model:meta-llama/Llama-3.1-70B-Instruct",
"base_model:finetune:meta-llama/Llama-3.1-70B-Instruct",
"license:llama3.1",
"text-generation-inference",
... | text-generation | 2024-08-03T13:25:44Z | # 🦙 Llama-3.1-70B-Instruct-lorablated
<center>🦙 <a href="https://huggingface.co/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated"><i>Llama 3.1 8B Instruct abliterated</i></a></center>
This is an uncensored version of [Llama 3.1 70B Instruct](https://huggingface.co/meta-llama/Met... | [] |
notlath/BioClinical-ModernBERT-base-Symptom2Disease_WITH-DROPOUT-42 | notlath | 2026-04-13T01:29:18Z | 1,171 | 1 | transformers | [
"transformers",
"safetensors",
"modernbert",
"text-classification",
"generated_from_trainer",
"base_model:thomas-sounack/BioClinical-ModernBERT-base",
"base_model:finetune:thomas-sounack/BioClinical-ModernBERT-base",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"... | text-classification | 2025-10-03T18:22:29Z | <!-- 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. -->
# BioClinical-ModernBERT-base-Symptom2Disease_WITH-DROPOUT-42
This model is a fine-tuned version of [thomas-sounack/BioClinical-Mod... | [
{
"start": 190,
"end": 249,
"text": "BioClinical-ModernBERT-base-Symptom2Disease_WITH-DROPOUT-42",
"label": "benchmark name",
"score": 0.720990777015686
},
{
"start": 305,
"end": 332,
"text": "BioClinical-ModernBERT-base",
"label": "benchmark name",
"score": 0.71680003404... |
nvidia/canary-qwen-2.5b | nvidia | 2026-04-21T12:31:18Z | 140,733 | 411 | nemo | [
"nemo",
"safetensors",
"automatic-speech-recognition",
"speech",
"audio",
"Transformer",
"FastConformer",
"Conformer",
"pytorch",
"NeMo",
"Qwen",
"hf-asr-leaderboard",
"en",
"dataset:Granary",
"dataset:YTC",
"dataset:Yodas2",
"dataset:LibriLight",
"dataset:librispeech_asr",
"data... | automatic-speech-recognition | 2025-06-26T16:05:40Z | <style>
img {
display: inline;
}
</style>
[](#model-architecture)
| [](#model-architecture)
| [![Language](https://img.shields.io/badge/Language-en-orange#model-... | [] |
Jackrong/gpt-oss-120b-Distill-Qwen3-4B-Thinking | Jackrong | 2025-11-21T10:08:03Z | 147 | 4 | null | [
"safetensors",
"qwen3",
"en",
"zh",
"dataset:Jackrong/Natural-Reasoning-gpt-oss-120B-S1",
"dataset:Jackrong/ShareGPT-gpt-oss-120B-reasoning",
"base_model:Qwen/Qwen3-4B",
"base_model:finetune:Qwen/Qwen3-4B",
"license:apache-2.0",
"region:us"
] | null | 2025-11-21T08:53:38Z | ## 📦 Model Card: `Jackrong/gpt-oss-120b-Distill-Qwen3-4B-Thinking`
| Key Property | Value |
|--------------|-------|
| **Model ID** | `Jackrong/gpt-oss-120b-Distill-Qwen3-4B-Thinking` |
| **License** | apache-2.0 |
| **Author(s)** | Jackrong, gpt‑oss team, Qwen authors |
| **Base Model** | `gpt-oss-120b-high` (compl... | [] |
AvitoTech/avibe | AvitoTech | 2025-11-14T09:37:46Z | 1,199 | 51 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"ru",
"en",
"base_model:Qwen/Qwen3-8B",
"base_model:finetune:Qwen/Qwen3-8B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-10-20T10:43:13Z | A-vibe это большая языковая модель, созданная Авито Тех, дочерней технологической компанией Авито, на базе открытой модели Qwen3-8B-Base.
Мы адаптировали Qwen3-8B-Base под русский язык и домен Авито с помощью нескольких шагов:
1. Сделали свой токенизатор, оптимальный для русского и английского языка
2. Подменили оригин... | [] |
huihui-ai/Huihui-GLM-4.6V-Flash-abliterated-GGUF | huihui-ai | 2025-12-24T09:51:28Z | 25,431 | 16 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"GGUF",
"image-text-to-text",
"zh",
"en",
"base_model:zai-org/GLM-4.6V-Flash",
"base_model:quantized:zai-org/GLM-4.6V-Flash",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-12-16T04:09:17Z | # huihui-ai/Huihui-GLM-4.6V-Flash-abliterated-GGUF
This is an uncensored version of [zai-org/GLM-4.6V-Flash](https://huggingface.co/zai-org/GLM-4.6V-Flash) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
It w... | [] |
nanonets/Nanonets-OCR2-3B | nanonets | 2025-10-16T09:56:02Z | 333,300 | 494 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"OCR",
"image-to-text",
"pdf2markdown",
"VQA",
"conversational",
"multilingual",
"base_model:Qwen/Qwen2.5-VL-3B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-3B-Instruct",
"eval-results",
"text-generation-inference",
"e... | image-text-to-text | 2025-10-13T12:11:52Z | <div align="center">
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/626d198986671a29c70e688e/Vn6092flX4bQgzal2X04f.png" width="200" style="border-radius: 15px;"/>
<p>
<h1 align="center">
Nanonets-OCR2: A model for transforming documents into structured markdown with intelligent c... | [] |
mradermacher/GLM-4.7-Flash-ultimate-uncensored-heretic-ayun-i1-GGUF | mradermacher | 2026-03-20T23:52:07Z | 12,211 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:ayunami2000/GLM-4.7-Flash-ultimate-uncensored-heretic-ayun",
"base_model:quantized:ayunami2000/GLM-4.7-Flash-ultimate-uncensored-heretic-ayun",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-20T16:49:17Z | ## 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_... | [] |
mradermacher/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1-GGUF | mradermacher | 2025-02-09T08:03:28Z | 142 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Goekdeniz-Guelmez/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1",
"base_model:quantized:Goekdeniz-Guelmez/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-02-08T14:34:18Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1
<!-- provided-files -->
weighted/imatrix quants are... | [] |
amedvedev/bert-tiny-cognitive-bias | amedvedev | 2023-07-05T14:56:13Z | 249 | 13 | transformers | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"psychology",
"cognitive distortions",
"en",
"arxiv:1810.04805",
"license:bsd-3-clause",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2023-04-07T16:10:05Z | # Classification of Cognitive Distortions using Bert
><span style="color:red">This article is under development. Please use the model for retraining on your data, not a "ready to use" solution.</span>
## Problem Description
**Cognitive distortion** refers to patterns of biased or distorted thinking that can lead to ... | [] |
lmstudio-community/Hermes-4-405B-GGUF | lmstudio-community | 2025-08-26T20:39:09Z | 162 | 3 | null | [
"gguf",
"base_model:NousResearch/Hermes-4-405B",
"base_model:quantized:NousResearch/Hermes-4-405B",
"license:llama3",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-26T17:23:41Z | ## 💫 Community Model> Hermes-4-405B by NousResearch
*👾 [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**: [NousResearch](https://huggingface.co/NousResearc... | [] |
yaojialzc/Gigi-Llama3-8B-Chinese-zh | yaojialzc | 2024-09-19T09:28:17Z | 7,959 | 8 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"latest",
"conversational",
"en",
"zh",
"dataset:teknium/OpenHermes-2.5",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-04-20T14:27:25Z | 
Gigi is fine-tuned on over 1.3 million pieces of high-quality Chinese-English bilingual corpus screened with the state-of-the-art Llama-3-8B-Instruct. It can better handle various downstream tasks a... | [] |
jasperai/Flux.1-dev-Controlnet-Upscaler | jasperai | 2025-03-22T18:30:06Z | 2,335 | 861 | diffusers | [
"diffusers",
"safetensors",
"ControlNet",
"super-resolution",
"upscaler",
"image-to-image",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:finetune:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | image-to-image | 2024-09-23T13:23:33Z | # ⚡ Flux.1-dev: Upscaler ControlNet ⚡
This is [Flux.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) ControlNet for low resolution images developed by Jasper research team.
<p align="center">
<img style="width:700px;" src="examples/showcase.jpg">
</p>
# How to use
This model can be used directly with t... | [] |
mradermacher/BiPS-GGUF | mradermacher | 2026-02-23T15:12:42Z | 221 | 1 | transformers | [
"transformers",
"gguf",
"vlm",
"chart-understanding",
"en",
"base_model:zss01/BiPS",
"base_model:quantized:zss01/BiPS",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-23T06:20:31Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
OpceanAI/Yuuki-3.7 | OpceanAI | 2026-02-17T06:40:13Z | 1,663 | 3 | pytorch | [
"pytorch",
"safetensors",
"gguf",
"llamafile",
"gpt2",
"text-generation",
"code",
"transformers",
"en",
"es",
"dataset:bigcode/the-stack",
"base_model:openai-community/gpt2",
"base_model:quantized:openai-community/gpt2",
"doi:10.57967/hf/7724",
"license:apache-2.0",
"text-generation-in... | text-generation | 2026-01-29T22:50:58Z | <div align="center">
<br>
<img src="https://img.shields.io/badge/%E2%9C%A6-YUUKI--3.7-000000?style=for-the-badge&labelColor=000000" alt="Yuuki 3.7" height="50">
<br><br>
# Code Generation Model Trained on a Phone
**Multilingual code LLM trained entirely on a smartphone with zero budget.**<br>
**GPT-2 architecture.... | [] |
mradermacher/Mars-27B-V.1-heretic-v1.2-GGUF | mradermacher | 2026-03-09T10:34:02Z | 515 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"mpoa",
"en",
"base_model:grayarea/Mars-27B-V.1-heretic-v1.2",
"base_model:quantized:grayarea/Mars-27B-V.1-heretic-v1.2",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-09T09:02:52Z | ## 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: -->
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static q... | [] |
bartowski/Qwen_Qwen3-VL-30B-A3B-Thinking-GGUF | bartowski | 2025-10-31T01:19:56Z | 655 | 2 | null | [
"gguf",
"image-text-to-text",
"base_model:Qwen/Qwen3-VL-30B-A3B-Thinking",
"base_model:quantized:Qwen/Qwen3-VL-30B-A3B-Thinking",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | image-text-to-text | 2025-10-06T00:21:50Z | ## Llamacpp imatrix Quantizations of Qwen3-VL-30B-A3B-Thinking by Qwen
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b6888">b6888</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Thinking
All ... | [] |
lmstudio-community/gemma-3-270m-it-qat-GGUF | lmstudio-community | 2025-08-14T14:26:12Z | 756 | 3 | null | [
"gguf",
"base_model:google/gemma-3-270m-it-qat-q4_0-unquantized",
"base_model:quantized:google/gemma-3-270m-it-qat-q4_0-unquantized",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-14T13:44:23Z | ## 💫 Community Model> gemma-3-270m-it-qat-q4_0 by google
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator:** [google](https://huggingface.co/google)<br>
... | [] |
stefancosma/Qwen2.5-Coder-7B-Instruct-Q4_K_M-GGUF | stefancosma | 2026-02-16T21:21:44Z | 1,078 | 1 | transformers | [
"transformers",
"gguf",
"code",
"codeqwen",
"chat",
"qwen",
"qwen-coder",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"base_model:Qwen/Qwen2.5-Coder-7B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-7B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",... | text-generation | 2026-02-16T21:21:23Z | # stefancosma/Qwen2.5-Coder-7B-Instruct-Q4_K_M-GGUF
This model was converted to GGUF format from [`Qwen/Qwen2.5-Coder-7B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original m... | [] |
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