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 |
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Finisha-F-scratch/Lamina-large-2b-pretrain | Finisha-F-scratch | 2026-01-27T15:29:14Z | 102 | 1 | transformers | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"fr",
"dataset:Clemylia/Train-pretrain",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-11-19T12:02:28Z | # 📖 Documentation du Modèle : Lamina-large-2b-pretrain ✨
## Introduction
Bienvenue dans l'écosystème Lamina ! **Lamina-large-2b-pretrain** est un modèle de langage massif de fondation (**Modèle de Base**) créé *from scratch* par Clemylia, destiné... | [
{
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"label": "benchmark name",
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{
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"end": 180,
"text": "Lamina",
"label": "benchmark name",
"score": 0.711432158946991
},
{
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"end": 209,
"text... |
prithivMLmods/Qwen-Image-Studio-Realism | prithivMLmods | 2025-08-24T13:24:21Z | 221 | 23 | diffusers | [
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"base_model:Qwen/Qwen-Image",
"base_model:adapter:Qwen/Qwen-Image",
"license:apache-2.0",
"region:us"
] | text-to-image | 2025-08-23T10:57:58Z | 
# Qwen-Image-Studio-Realism
<Gallery />
---
# Model description for Qwen-Image-Studio-Realism
Image Processing Parameters
| Parameter | Value | Parameter | Value |
... | [] |
mlx-community/Fun-ASR-Nano-2512-4bit | mlx-community | 2025-12-16T16:18:34Z | 140 | 1 | mlx-audio-plus | [
"mlx-audio-plus",
"safetensors",
"funasr",
"mlx",
"speech-recognition",
"speech-to-text",
"stt",
"automatic-speech-recognition",
"multilingual",
"base_model:FunAudioLLM/Fun-ASR-Nano-2512",
"base_model:finetune:FunAudioLLM/Fun-ASR-Nano-2512",
"region:us"
] | automatic-speech-recognition | 2025-12-16T16:02:08Z | # mlx-community/Fun-ASR-Nano-2512-4bit
This model was converted to MLX format from [FunAudioLLM/Fun-ASR-Nano-2512](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-2512) using [mlx-audio-plus](https://github.com/DePasqualeOrg/mlx-audio-plus) version **0.1.4**.
## Features
| Feature | Description |
|---------|--------... | [] |
huihui-ai/Huihui-Qwen3-235B-A22B-Instruct-2507-abliterated-Q4_K_M-GGUF | huihui-ai | 2025-12-15T07:56:30Z | 179 | 9 | transformers | [
"transformers",
"gguf",
"chat",
"abliterated",
"uncensored",
"GGUF",
"text-generation",
"base_model:Qwen/Qwen3-235B-A22B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-235B-A22B-Instruct-2507",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-08-04T04:31:55Z | # huihui-ai/Huihui-Qwen3-235B-A22B-Instruct-2507-abliterated-Q4_K_M-GGUF
[Q4_K_M](https://huggingface.co/huihui-ai/Huihui-Qwen3-235B-A22B-Instruct-2507-abliterated-Q4_K_M-GGUF)
This is an uncensored version of [Qwen/Qwen3-235B-A22B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507) created wit... | [] |
helper2424/resnet10 | helper2424 | 2026-04-14T19:18:10Z | 60,526 | 1 | pytorch | [
"pytorch",
"safetensors",
"resnet10",
"jax-conversion",
"transformers",
"resnet",
"hil-serl",
"Lerobot",
"vision",
"image-classification",
"custom_code",
"en",
"license:apache-2.0",
"region:us"
] | image-classification | 2025-02-08T06:08:30Z | # JAX to PyTorch Converted Model (ResNet-10)
It's done in context of porting `HIL-SERL` paper code (https://hil-serl.github.io/) to `Lerobot` (https://github.com/Lerobot/lerobot).
The HF doesn't have ResNet-10 model, which could be pretty usefult for robotics tasks because of it's small size.
This model is converted f... | [] |
N-Bot-Int/ElaNore3-4B-merged | N-Bot-Int | 2026-03-21T00:37:51Z | 148 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"Uncensored",
"text-generation-inference",
"unsloth",
"trl",
"roleplay",
"conversational",
"en",
"dataset:N-Bot-Int/Iris-Uncensored-Reformat-R2",
"base_model:DreamFast/qwen3-4b-heretic",
"base_model:finetune:DreamFast/qwen3-4b-here... | text-generation | 2026-03-19T05:06:07Z | # ElaNore3-4B - Is Now Released!
- IMAGE GENERATED USING CHATGPT!
# ElaNore3-4B, The Newest And BEST model WE HAVE MADE!
- Feast your Eyes on ElaNore3-4B, trained on Qwen3-4B(CREDIT TO DREAMFAST for the H... | [] |
mradermacher/Cydonia-24B-v4.2.0-GGUF | mradermacher | 2025-10-17T17:01:19Z | 103 | 3 | transformers | [
"transformers",
"gguf",
"en",
"base_model:TheDrummer/Cydonia-24B-v4.2.0",
"base_model:quantized:TheDrummer/Cydonia-24B-v4.2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-17T03:23:03Z | ## 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": "Cydonia-24B-v4.2.0",
"label": "benchmark name",
"score": 0.610987663269043
},
{
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"end": 541,
"text": "Cydonia-24B-v4.2.0-GGUF",
"label": "benchmark name",
"score": 0.6224544048309326
}
] |
mradermacher/Sugoi-14B-Ultra-HF-i1-GGUF | mradermacher | 2025-12-16T02:51:36Z | 364 | 7 | transformers | [
"transformers",
"gguf",
"translation",
"ja",
"en",
"base_model:sugoitoolkit/Sugoi-14B-Ultra-HF",
"base_model:quantized:sugoitoolkit/Sugoi-14B-Ultra-HF",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | translation | 2025-08-25T00:41:10Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [
{
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"end": 648,
"text": "Sugoi-14B-Ultra-HF-i1-GGUF",
"label": "benchmark name",
"score": 0.6135808229446411
},
{
"start": 1206,
"end": 1232,
"text": "Sugoi-14B-Ultra-HF-i1-GGUF",
"label": "benchmark name",
"score": 0.6079054474830627
}
] |
mradermacher/Cydonia-24B-v4.3-heretic-i1-GGUF | mradermacher | 2025-12-22T07:55:29Z | 845 | 6 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:coder3101/Cydonia-24B-v4.3-heretic",
"base_model:quantized:coder3101/Cydonia-24B-v4.3-heretic",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-22T03:09:42Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 626,
"end": 658,
"text": "Cydonia-24B-v4.3-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.6751624345779419
},
{
"start": 1222,
"end": 1254,
"text": "Cydonia-24B-v4.3-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.615764319896698
}
] |
eousphoros/kappa-20b-131k-GGUF | eousphoros | 2026-03-01T03:53:16Z | 614 | 5 | null | [
"gguf",
"mixture-of-experts",
"moe",
"long-context",
"fine-tuning",
"sft",
"persona",
"multi-turn",
"tool-calling",
"torchtitan",
"text-generation",
"en",
"base_model:eousphoros/kappa-20b-131k",
"base_model:quantized:eousphoros/kappa-20b-131k",
"license:other",
"endpoints_compatible",
... | text-generation | 2026-03-01T01:38:07Z | # kappa_20b_131k (GGUF)
**GGUF export** of [kappa_20b_131k](https://huggingface.co/eousphoros/kappa-20b-131k) for use with [llama.cpp](https://github.com/ggerganov/llama.cpp) and compatible inference engines.
Part of the **persona series** — a set of experimental fine-tunes exploring personality-conditioned generatio... | [] |
codesage/codesage-large-v2 | codesage | 2024-12-28T22:26:28Z | 1,137 | 13 | transformers | [
"transformers",
"pytorch",
"custom_code",
"code",
"dataset:bigcode/the-stack-dedup",
"dataset:bigcode/the-stack-v2",
"arxiv:2402.01935",
"arxiv:2209.11755",
"arxiv:2305.06161",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-12-02T22:52:10Z | ## CodeSage-Large-v2
### Updates
* 1. <span style="color:blue">We are excited to announce the release of the CodeSage V2 model family with largely improved performance!</span> <strong>Please check out our [blogpost](https://code-representation-learning.github.io/codesage-v2.html) for more details</strong>.
* 2. In add... | [] |
agentscope-ai/QwenPaw-Flash-9B-Q8_0 | agentscope-ai | 2026-04-09T11:45:31Z | 5,063 | 15 | null | [
"gguf",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-30T14:13:19Z | # 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... | [] |
NASK-PIB/LLaVA-PLLuM-12b-nc-instruct | NASK-PIB | 2026-02-03T09:32:47Z | 163 | 1 | transformers | [
"transformers",
"safetensors",
"llava_next",
"image-text-to-text",
"conversational",
"pl",
"en",
"base_model:google/siglip2-so400m-patch14-384",
"base_model:finetune:google/siglip2-so400m-patch14-384",
"license:cc-by-nc-4.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-01-26T15:02:05Z | # LLaVA-PLLuM-12b-nc-instruct
This model is the first Polish-focused Vision-Language Model (VLM), created by extending the open-source LLaVA architecture with the PLLuM language model.
Our pipeline integrates high-quality multimodal instruction tuning with PLLuM’s strong Polish linguistic abilities, resulting in a VL... | [] |
mradermacher/derestricted-iceblink-GGUF | mradermacher | 2025-12-07T22:31:21Z | 284 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:ApocalypseParty/derestricted-iceblink",
"base_model:quantized:ApocalypseParty/derestricted-iceblink",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-07T15:29:23Z | ## 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": 1201,
"end": 1205,
"text": "Q2_K",
"label": "benchmark name",
"score": 0.6219185590744019
}
] |
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext | microsoft | 2023-11-06T18:03:43Z | 207,408 | 315 | transformers | [
"transformers",
"pytorch",
"jax",
"bert",
"fill-mask",
"exbert",
"en",
"arxiv:2007.15779",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | ## MSR BiomedBERT (abstracts + full text)
<div style="border: 2px solid orange; border-radius:10px; padding:0px 10px; width: fit-content;">
* This model was previously named **"PubMedBERT (abstracts + full text)"**.
* You can either adopt the new model name "microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fullte... | [
{
"start": 1340,
"end": 1397,
"text": "Biomedical Language Understanding and Reasoning Benchmark",
"label": "evaluation metric",
"score": 0.8675006628036499
}
] |
mradermacher/Youtu-Agent-RL-Maths-Qwen2.5-7B-i1-GGUF | mradermacher | 2026-01-12T00:48:18Z | 150 | 1 | transformers | [
"transformers",
"gguf",
"agent",
"en",
"dataset:BytedTsinghua-SIA/DAPO-Math-17k",
"dataset:BytedTsinghua-SIA/AIME-2024",
"dataset:opencompass/AIME2025",
"base_model:yolay/Youtu-Agent-RL-Maths-Qwen2.5-7B",
"base_model:quantized:yolay/Youtu-Agent-RL-Maths-Qwen2.5-7B",
"license:apache-2.0",
"endpoi... | null | 2026-01-11T21:49:13Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 629,
"end": 668,
"text": "Youtu-Agent-RL-Maths-Qwen2.5-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.671882688999176
},
{
"start": 1239,
"end": 1278,
"text": "Youtu-Agent-RL-Maths-Qwen2.5-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.6273654699325562
... |
bluolightning/manga-ocr-mobile | bluolightning | 2026-01-26T02:25:20Z | 163 | 6 | transformers | [
"transformers",
"tflite",
"OCR",
"Manga",
"10m-parameters",
"image-text-to-text",
"ja",
"dataset:hal-utokyo/Manga109-s",
"dataset:NilanE/ParallelFiction-Ja_En-100k",
"arxiv:2312.05760",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-01-16T23:50:00Z | ## Manga OCR Mobile (Preview)
This model is a lightweight OCR model build for speed and optimized for mobile/edge devices.
It achives high-accuracy text recognition while maintaining a footprint much smaller than standard models.
Check out the [technical docs](https://bluolightning.github.io/manga-ocr-mobile) for mo... | [] |
aifeifei798/Z-Image-Turbo-Booster-v1 | aifeifei798 | 2026-01-22T05:23:05Z | 102 | 3 | diffusers | [
"diffusers",
"text-to-image",
"lora",
"z-image",
"fragmented-training",
"dimensional-burden",
"experimental",
"base_model:Tongyi-MAI/Z-Image-Turbo",
"base_model:adapter:Tongyi-MAI/Z-Image-Turbo",
"doi:10.57967/hf/7591",
"license:apache-2.0",
"region:us"
] | text-to-image | 2025-12-10T17:10:15Z | # 🌀 Z-Image-Turbo-Booster-v1 (Dimensional Burden Edition)
<div align="center">
</div>
> **"It wasn't a bug. It was a feature waiting to be discovered."** — *aifeifei... | [] |
mradermacher/Goetia-24B-v1.1-GGUF | mradermacher | 2025-11-14T01:51:55Z | 125 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:Naphula/Goetia-24B-v1.1",
"base_model:quantized:Naphula/Goetia-24B-v1.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-12T02:12:52Z | ## 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: -->
<!-- ### skip_mmproj: -->
static q... | [] |
lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-4bit | lmstudio-community | 2025-07-31T14:37:10Z | 196,287 | 16 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"mlx",
"conversational",
"base_model:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"region:us"
] | text-generation | 2025-07-31T14:36:18Z | ## 💫 Community Model> Qwen3-Coder-30B-A3B-Instruct by Qwen
_👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)_.
**Model creator**: [Qwen](https://huggingface.co/Qwen)<br>
**... | [] |
mistralai/Ministral-3-3B-Instruct-2512-ONNX | mistralai | 2026-01-15T11:19:37Z | 926 | 30 | transformers.js | [
"transformers.js",
"onnx",
"mistral3",
"image-text-to-text",
"onnxruntime",
"conversational",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"arxiv:2601.08584",
"base_model:mistralai/Ministral-3-3B-Instruct-2512",
"base_model:quantized:mistralai/Ministral-3-3... | image-text-to-text | 2025-11-24T08:49:49Z | > [!Tip]
> This model was contributed by [Xenova](https://huggingface.co/Xenova) from Hugging Face. We sincerely appreciate the integration and community collaboration. While preliminary functionality checks have been performed, comprehensive testing has not yet been completed. We recommend you to proceed with caution ... | [] |
Ygz-08123/Qwen3-7B-Instruct-Q4_K_M-GGUF | Ygz-08123 | 2025-10-13T08:11:34Z | 2,057 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:mergekit-community/Qwen3-7B-Instruct",
"base_model:quantized:mergekit-community/Qwen3-7B-Instruct",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-13T08:11:11Z | # Ygz-08123/Qwen3-7B-Instruct-Q4_K_M-GGUF
This model was converted to GGUF format from [`mergekit-community/Qwen3-7B-Instruct`](https://huggingface.co/mergekit-community/Qwen3-7B-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... | [] |
mradermacher/Qwen3.5-4B-heretic-v2-i1-GGUF | mradermacher | 2026-03-11T08:22:23Z | 5,515 | 3 | transformers | [
"transformers",
"gguf",
"unsloth",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:tvall43/Qwen3.5-4B-heretic-v2",
"base_model:quantized:tvall43/Qwen3.5-4B-heretic-v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-11T07:57:58Z | ## 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_... | [
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"end": 651,
"text": "Qwen3.5-4B-heretic-v2-i1-GGUF",
"label": "benchmark name",
"score": 0.7464761734008789
},
{
"start": 725,
"end": 751,
"text": "Qwen3.5-4B-heretic-v2-GGUF",
"label": "benchmark name",
"score": 0.6994003057479858
},
{
"start": 87... |
Tongyi-MAI/MAI-UI-8B | Tongyi-MAI | 2026-01-09T08:44:59Z | 4,463 | 186 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"arxiv:2512.22047",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-12-25T03:53:32Z | # MAI-UI: Real-World Centric Foundation GUI Agents.
[[📄 Paper](https://arxiv.org/abs/2512.22047)] [[🌐 Website](https://tongyi-mai.github.io/MAI-UI/)] [[💻 GitHub](https://github.com/Tongyi-MAI/MAI-UI)]
![overview](https://cdn-uploads.huggingface.co/production/uploads/63525c3a6cfb8f1498127a34/_ibfeHy_31ZRanQ3xxlnn.p... | [] |
huggingface/CodeBERTa-language-id | huggingface | 2024-03-29T10:43:55Z | 801 | 68 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"roberta",
"text-classification",
"code",
"dataset:code_search_net",
"arxiv:1909.09436",
"base_model:huggingface/CodeBERTa-small-v1",
"base_model:finetune:huggingface/CodeBERTa-small-v1",
"license:apache-2.0",
"endpoints_compatible",
"deplo... | text-classification | 2022-03-02T23:29:05Z | # CodeBERTa-language-id: The World’s fanciest programming language identification algo 🤯
To demonstrate the usefulness of our CodeBERTa pretrained model on downstream tasks beyond language modeling, we fine-tune the [`CodeBERTa-small-v1`](https://huggingface.co/huggingface/CodeBERTa-small-v1) checkpoint on the task ... | [] |
mradermacher/gemma-4-31BHERETIC-Thinking-GGUF | mradermacher | 2026-04-24T15:43:17Z | 1,465 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"abliterated",
"uncensored",
"finetune",
"unsloth",
"all use cases",
"coder",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"sc... | null | 2026-04-22T11:24:09Z | ## 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... | [] |
microsoft/Phi-4-mini-reasoning | microsoft | 2025-12-10T20:24:22Z | 16,309 | 219 | transformers | [
"transformers",
"safetensors",
"phi3",
"text-generation",
"nlp",
"math",
"code",
"conversational",
"en",
"arxiv:2504.21233",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-04-29T19:15:55Z | ## Model Summary
Phi-4-mini-reasoning is a lightweight open model built upon synthetic data with a focus on high-quality, reasoning dense data further finetuned for more advanced math reasoning capabilities.
The model belongs to the Phi-4 model family and supports 128K token context length.
📰 [Phi-4-mini-reasoni... | [] |
mradermacher/Safeword-Casual-V1-12B-i1-GGUF | mradermacher | 2025-12-25T19:05:51Z | 112 | 2 | transformers | [
"transformers",
"gguf",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"en",
"base_model:ReadyArt/Safeword-Casual-V1-12B",
"base_model:quantized:ReadyArt/Safeword-Casual-V1-12B",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-02T12:10:19Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [
{
"start": 622,
"end": 652,
"text": "Safeword-Casual-V1-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.6979734897613525
},
{
"start": 875,
"end": 902,
"text": "Safeword-Casual-V1-12B-GGUF",
"label": "benchmark name",
"score": 0.6322753429412842
},
{
"start": ... |
mradermacher/Hypernova-60B-2602-GGUF | mradermacher | 2026-02-25T10:36:42Z | 1,232 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:MultiverseComputingCAI/Hypernova-60B-2602",
"base_model:quantized:MultiverseComputingCAI/Hypernova-60B-2602",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-25T01:48:47Z | ## 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": 375,
"end": 393,
"text": "Hypernova-60B-2602",
"label": "benchmark name",
"score": 0.6455810070037842
},
{
"start": 530,
"end": 553,
"text": "Hypernova-60B-2602-GGUF",
"label": "benchmark name",
"score": 0.7602050304412842
},
{
"start": 637,
"end": ... |
allenai/Molmo2-4B | allenai | 2026-01-23T01:03:22Z | 97,239 | 45 | transformers | [
"transformers",
"safetensors",
"molmo2",
"image-text-to-text",
"multimodal",
"olmo",
"molmo",
"conversational",
"custom_code",
"en",
"dataset:allenai/Molmo2-Cap",
"dataset:allenai/Molmo2-VideoCapQA",
"dataset:allenai/Molmo2-VideoSubtitleQA",
"dataset:allenai/Molmo2-AskModelAnything",
"da... | image-text-to-text | 2025-12-14T22:55:51Z | <img src="molmo_2_logo_RGB.png" alt="Logo for the Molmo2 Project" style="width: auto; height: 50px;">
# Molmo2-4B
Molmo2 is a family of open vision-language models developed by the Allen Institute for AI (Ai2) that support image, video and multi-image understanding and grounding.
Molmo2 models are trained on publicly... | [] |
prithivMLmods/Qwen3-VL-4B-Instruct-abliterated-v1-GGUF | prithivMLmods | 2025-12-15T17:14:01Z | 1,451 | 3 | transformers | [
"transformers",
"gguf",
"qwen3_vl",
"text-generation-inference",
"abliterated",
"llama.cpp",
"image-text-to-text",
"en",
"base_model:prithivMLmods/Qwen3-VL-4B-Instruct-abliterated-v1",
"base_model:quantized:prithivMLmods/Qwen3-VL-4B-Instruct-abliterated-v1",
"license:apache-2.0",
"endpoints_co... | image-text-to-text | 2025-12-15T16:21:53Z | # **Qwen3-VL-4B-Instruct-abliterated-v1-GGUF**
> The Qwen3-VL-4B-Instruct-abliterated-v1 from prithivMLmods is a 4B-parameter vision-language model variant of Alibaba's Qwen3-VL-4B-Instruct, modified through abliteration (v1.0) to remove safety refusals and content filters, enabling uncensored, detailed captioning, re... | [] |
TJUNLP/FuxiTranyu-8B | TJUNLP | 2024-08-19T03:21:35Z | 103 | 7 | transformers | [
"transformers",
"safetensors",
"fuxitranyu",
"text-generation",
"custom_code",
"arxiv:2408.06273",
"license:apache-2.0",
"region:us"
] | text-generation | 2024-07-24T11:55:27Z | # Model Card for FuxiTranyu-8B
## Model Summary
FuxiTranyu-8B is an **open-source** **multilingual large language model** trained from scratch, with a specific focus on the multilinguality. It is trained on 600B tokens with a balanced data distribution across languages, exhibiting remarkable multilingual performance ... | [] |
mradermacher/Atlas-Chat-2B-GGUF | mradermacher | 2024-10-23T19:39:31Z | 529 | 2 | transformers | [
"transformers",
"gguf",
"conversational",
"ar",
"ary",
"dataset:MBZUAI-Paris/Darija-SFT-Mixture",
"base_model:MBZUAI-Paris/Atlas-Chat-2B",
"base_model:quantized:MBZUAI-Paris/Atlas-Chat-2B",
"license:gemma",
"endpoints_compatible",
"region:us"
] | null | 2024-09-27T22:37:56Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/MBZUAI-Paris/Atlas-Chat-2B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time... | [] |
unsloth/Qwen2.5-7B-Instruct | unsloth | 2025-04-28T04:16:22Z | 79,221 | 23 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"unsloth",
"conversational",
"zho",
"eng",
"fra",
"spa",
"por",
"deu",
"ita",
"rus",
"jpn",
"kor",
"vie",
"tha",
"ara",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:fi... | text-generation | 2024-09-18T21:23:05Z | # Finetune Llama 3.1, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing).
Also a [Qwen 2.5 conversational style notebook](https://colab.resear... | [] |
zai-org/glm-4-9b-hf | zai-org | 2025-01-27T06:33:22Z | 1,488 | 9 | null | [
"safetensors",
"glm",
"chatglm",
"thudm",
"text-generation",
"zh",
"en",
"arxiv:2406.12793",
"license:other",
"region:us"
] | text-generation | 2025-01-16T06:02:41Z | # glm-4-9b-hf
请阅读 [中文版本](README_zh.md).
If you are using the weights from this repository, please update to
<span style="color:red; font-weight:bold;"> transformers>=4.46.0 </span>
These weights are **not compatible** with older versions of the transformers library.
## Model Introduction
GLM-4-9B is the open-sou... | [] |
prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it-GGUF | prithivMLmods | 2025-11-10T08:12:02Z | 1,465 | 6 | transformers | [
"transformers",
"gguf",
"qwen3_vl",
"text-generation-inference",
"uncensored",
"image-captioning",
"vlm",
"visual-understanding",
"caption",
"image-to-text",
"image-text-to-text",
"en",
"zh",
"th",
"base_model:prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it",
"base_model:quantized:pri... | image-text-to-text | 2025-11-10T07:21:04Z | # **Qwen3-VL-8B-Abliterated-Caption-it-GGUF**
> The Qwen3-VL-8B-Abliterated-Caption-it model is a fine-tuned version of Qwen3-VL-8B-Instruct, tailored for Abliterated Captioning / Uncensored Image Captioning. This variant is designed to generate highly detailed and descriptive captions across a broad range of visual c... | [] |
tue-mps/eomt-dinov3-ade-semantic-large-512 | tue-mps | 2026-01-28T14:57:34Z | 1,033 | 1 | transformers | [
"transformers",
"safetensors",
"eomt_dinov3",
"vision",
"image-segmentation",
"semantic-segmentation",
"pytorch",
"dataset:ade20k",
"arxiv:2503.19108",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-segmentation | 2026-01-13T19:05:22Z | # EoMT-DINOv3 (Large, 512px) for ADE20K Semantic Segmentation
<div class="flex flex-wrap space-x-1">
<img alt="PyTorch" src="https://img.shields.io/badge/PyTorch-DE3412?style=flat&logo=pytorch&logoColor=white">
<img alt="Transformers" src="https://img.shields.io/badge/Transformers-yellow?style=flat&logo=huggingface&lo... | [] |
mradermacher/Qwen3-4B-Thinking-2507-Command-A-Reasoning-Distill-i1-GGUF | mradermacher | 2025-12-05T02:59:31Z | 517 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3",
"en",
"dataset:NoSlop4U/command-a-reasoning-1000x",
"base_model:TeichAI/Qwen3-4B-Thinking-2507-Command-A-Reasoning-Distill",
"base_model:quantized:TeichAI/Qwen3-4B-Thinking-2507-Command-A-Reasoning-Distill",
"license:apache-2... | null | 2025-12-01T02:44:48Z | ## 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_... | [] |
andrewdalpino/MewZoom-V1-4X | andrewdalpino | 2026-04-29T22:29:40Z | 172 | 1 | null | [
"tensorboard",
"onnx",
"safetensors",
"super-resolution",
"image-to-image",
"license:apache-2.0",
"region:us"
] | image-to-image | 2026-04-08T18:44:30Z | # MewZoom
A family of open-source super-resolution models with purrfect pixels. Pre-trained on a diverse set of images and fine-tuned with an adversarial network for exceptional realism, Mew Zoom upscal... | [] |
ncbi/MedCPT-Cross-Encoder | ncbi | 2023-12-03T00:45:45Z | 41,193 | 24 | transformers | [
"transformers",
"pytorch",
"bert",
"text-classification",
"license:other",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-classification | 2023-11-26T23:03:26Z | # Usage: Ranking articles for a given query
```python
import torch
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("ncbi/MedCPT-Cross-Encoder")
model = AutoModelForSequenceClassification.from_pretrained("ncbi/MedCPT-Cross-Encoder")
query = "diabete... | [] |
TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF | TheBloke | 2023-12-14T14:30:43Z | 23,740 | 655 | transformers | [
"transformers",
"gguf",
"mixtral",
"fr",
"it",
"de",
"es",
"en",
"base_model:mistralai/Mixtral-8x7B-Instruct-v0.1",
"base_model:quantized:mistralai/Mixtral-8x7B-Instruct-v0.1",
"license:apache-2.0",
"region:us",
"conversational"
] | null | 2023-12-11T18:08:33Z | <!-- 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:... | [] |
Lourdle/Fun-CosyVoice3-0.5B-2512-GGUF | Lourdle | 2026-03-31T06:17:31Z | 898 | 1 | null | [
"onnx",
"gguf",
"text-to-speech",
"base_model:FunAudioLLM/Fun-CosyVoice3-0.5B-2512",
"base_model:quantized:FunAudioLLM/Fun-CosyVoice3-0.5B-2512",
"license:apache-2.0",
"region:us"
] | text-to-speech | 2026-03-28T14:09:23Z | # Fun-CosyVoice3-0.5B-2512-GGUF
Unofficial community GGUF release for CosyVoice3-2512.
This model pack is intended for use with [cosyvoice.cpp](https://github.com/Lourdle/cosyvoice.cpp).
## Important Notice
- This is **not** an official CosyVoice release.
- The implementation is maintained by an independent communi... | [] |
OpenGVLab/InternVL3_5-1B-HF | OpenGVLab | 2025-09-08T09:51:06Z | 13,497 | 6 | transformers | [
"transformers",
"safetensors",
"internvl",
"image-text-to-text",
"custom_code",
"conversational",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"dataset:OpenGVLab/MMPR-Tiny",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2412.05271",
"arxiv:2411.10442",
"arxiv:2504.10479",
"arxiv:2508.... | image-text-to-text | 2025-08-29T13:16:54Z | # InternVL3_5-1B
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[📜 InternVL2.5-MPO\]](https://huggingface.co/pap... | [] |
mradermacher/Qwen3.5-27B-i1-GGUF | mradermacher | 2026-02-26T10:00:25Z | 7,884 | 3 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Qwen/Qwen3.5-27B",
"base_model:quantized:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-26T06:59:14Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 608,
"end": 627,
"text": "Qwen3.5-27B-i1-GGUF",
"label": "benchmark name",
"score": 0.6523709893226624
}
] |
mradermacher/LLaDA-MoE-7B-A1B-Instruct-i1-GGUF | mradermacher | 2025-12-10T20:45:53Z | 469 | 2 | transformers | [
"transformers",
"gguf",
"dllm",
"diffusion",
"llm",
"text_generation",
"en",
"base_model:inclusionAI/LLaDA-MoE-7B-A1B-Instruct",
"base_model:quantized:inclusionAI/LLaDA-MoE-7B-A1B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-18T12:27:52Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
DavidAU/L3-Dark-Planet-Horror-City-8B-NEO-Imatrix-GGUF | DavidAU | 2025-07-28T00:36:46Z | 3,095 | 13 | null | [
"gguf",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres",
"story",
"llama-3",
"writing",
"vivid prosing",
"vivid writing",
... | text-generation | 2024-09-05T04:40:19Z | <h2>L3-Dark-Planet-Horror-City-8B-<font color="red">NEO-Imatrix</font>-GGUF</h2>
<img src="dark-planet-horror.jpg" style="float:right; width:300px; height:300px; padding:10px;">
It is a LLama3 model, max context of 8192 (or 32k+ with rope).
This model has been designed to be relatively bullet proof and operates with... | [] |
litagin/anime-whisper | litagin | 2024-11-24T08:56:57Z | 10,739 | 129 | transformers | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"anime",
"japanese",
"ja",
"dataset:litagin/Galgame_Speech_ASR_16kHz",
"dataset:OOPPEENN/Galgame_Dataset",
"base_model:kotoba-tech/kotoba-whisper-v2.0",
"base_model:finetune:kotoba-tech/kotoba-whisper-v2.0",
"license:mit... | automatic-speech-recognition | 2024-11-10T06:08:07Z | # Anime Whisper 🤗🎤📝
**Anime Whisper** は、特に日本語のアニメ調演技セリフのドメインに特化した日本語音声認識モデルです。
このモデルは [kotoba-whisper-v2.0](https://huggingface.co/kotoba-tech/kotoba-whisper-v2.0) をベースモデルとして、約5,300時間373万ファイルのアニメ調の音声・台本データセット [Galgame_Speech_ASR_16kHz](https://huggingface.co/datasets/litagin/Galgame_Speech_ASR_16kHz) でファインチューニングしたも... | [] |
mbakgun/Qwen2.5-Coder-14B-n8n-Workflow-Generator | mbakgun | 2025-12-28T21:31:32Z | 2,058 | 12 | mlx | [
"mlx",
"safetensors",
"gguf",
"qwen2",
"n8n",
"workflow",
"automation",
"fine-tuned",
"code-generation",
"qlora",
"text-generation",
"conversational",
"en",
"dataset:mbakgun/n8nbuilder-n8n-workflows-dataset",
"base_model:Qwen/Qwen2.5-Coder-14B-Instruct",
"base_model:quantized:Qwen/Qwen... | text-generation | 2025-12-26T02:18:36Z | # Qwen2.5-Coder-14B-n8n-Workflow-Generator
Fine-tuned Qwen2.5-Coder-14B-Instruct model specialized for generating n8n workflow JSONs from natural language descriptions.
## Model Description
This model is a QLoRA fine-tuned version of [Qwen/Qwen2.5-Coder-14B-Instruct](https... | [] |
mradermacher/Darkmere-8B-v0.1-i1-GGUF | mradermacher | 2026-03-14T11:33:39Z | 3,378 | 1 | transformers | [
"transformers",
"gguf",
"mistral",
"heretic",
"uncensored",
"decensored",
"abliterated",
"roleplay",
"rp",
"creative-writing",
"en",
"base_model:0xA50C1A1/Darkmere-8B-v0.1",
"base_model:quantized:0xA50C1A1/Darkmere-8B-v0.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
... | null | 2026-03-14T11:06:39Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
OmniAvatar/OmniAvatar-14B | OmniAvatar | 2025-08-06T14:50:21Z | 103 | 107 | null | [
"Audio-driven",
"text-to-video",
"arxiv:2506.18866",
"base_model:Wan-AI/Wan2.1-T2V-14B",
"base_model:finetune:Wan-AI/Wan2.1-T2V-14B",
"license:apache-2.0",
"region:us"
] | text-to-video | 2025-06-17T07:00:15Z | <div align="center">
<h1>OmniAvatar: Efficient Audio-Driven Avatar Video Generation with Adaptive Body Animation</h1>
[Qijun Gan](https://agnjason.github.io/) · [Ruizi Yang](https://github.com/ZiziAmy/) · [Jianke Zhu](https://person.zju.edu.cn/en/jkzhu) · [Shaofei Xue]() · [Steven Hoi](https://scholar.google.com/cita... | [] |
bartowski/AgentFlow_agentflow-planner-7b-GGUF | bartowski | 2025-10-12T23:40:00Z | 217 | 1 | null | [
"gguf",
"text-generation",
"base_model:AgentFlow/agentflow-planner-7b",
"base_model:quantized:AgentFlow/agentflow-planner-7b",
"region:us"
] | text-generation | 2025-10-12T23:05:30Z | ## Llamacpp imatrix Quantizations of agentflow-planner-7b by AgentFlow
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/b6714">b6714</a> for quantization.
Original model: https://huggingface.co/AgentFlow/agentflow-planner-7b
All ... | [] |
lmstudio-community/gpt-oss-safeguard-20b-MLX-MXFP4 | lmstudio-community | 2025-10-28T22:36:44Z | 10,706 | 1 | mlx | [
"mlx",
"safetensors",
"gpt_oss",
"base_model:openai/gpt-oss-safeguard-20b",
"base_model:quantized:openai/gpt-oss-safeguard-20b",
"4-bit",
"region:us"
] | null | 2025-10-28T19:56:43Z | ## 💫 Community Model> gpt-oss-safeguard-20b by openai
_👾 [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)_.
Use in LM Studio with [gpt-oss-safeguard](https://lmstudio.ai/mode... | [] |
unsloth/gemma-4-31b-it-UD-MLX-4bit | unsloth | 2026-04-13T06:15:01Z | 11,935 | 20 | 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 | 2026-04-03T22:03:06Z | # 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": 0.6378256678581238
}
] |
thebajajra/RexBERT-base | thebajajra | 2026-02-05T02:32:05Z | 858 | 10 | transformers | [
"transformers",
"pytorch",
"safetensors",
"modernbert",
"fill-mask",
"ecommerce",
"e-commerce",
"retail",
"marketplace",
"shopping",
"amazon",
"ebay",
"alibaba",
"google",
"rakuten",
"bestbuy",
"walmart",
"flipkart",
"wayfair",
"shein",
"target",
"etsy",
"shopify",
"tao... | fill-mask | 2025-08-24T00:10:17Z | # RexBERT-base
[](https://www.apache.org/licenses/LICENSE-2.0)
[](https://huggingface.co/collections/thebajajra/rexbert-68cc4b1b8a272f6beae5ebb8)
[![Data](https://img.sh... | [] |
bartowski/moonshotai_Kimi-K2-Thinking-GGUF | bartowski | 2025-11-12T02:01:07Z | 366 | 5 | null | [
"gguf",
"text-generation",
"base_model:moonshotai/Kimi-K2-Thinking",
"base_model:quantized:moonshotai/Kimi-K2-Thinking",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-11-08T16:17:45Z | ## Llamacpp imatrix Quantizations of Kimi-K2-Thinking by moonshotai
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/b6907">b6907</a> for quantization.
Original model: https://huggingface.co/moonshotai/Kimi-K2-Thinking
All quants... | [] |
Na0s/Medical-Whisper-Large-v3 | Na0s | 2024-10-06T00:49:39Z | 605 | 10 | transformers | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"en",
"dataset:medical_data",
"dataset:Na0s/Primock_med",
"base_model:openai/whisper-large-v3",
"base_model:finetune:openai/whisper-large-v3",
"license:apache-2.0",
"endpoints_compatible",
"re... | automatic-speech-recognition | 2024-07-18T18:47:21Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
<a href="https://ibb.co/4YRxh82"><img src="https://i.ibb.co/wwh15S7/DALL-E-2024-10-05-20-47-54-A-doctor-in-a-modern-clinical-setting... | [] |
mradermacher/Monika-9B-GGUF | mradermacher | 2026-03-16T12:12:09Z | 474 | 1 | transformers | [
"transformers",
"gguf",
"roleplay",
"en",
"base_model:Green-eyedDevil/Monika-9B",
"base_model:quantized:Green-eyedDevil/Monika-9B",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-16T11:41:48Z | ## 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": 514,
"end": 528,
"text": "Monika-9B-GGUF",
"label": "benchmark name",
"score": 0.6578115820884705
}
] |
mradermacher/Gemma-3-27b-it-Gemini-Extreme-Deep-Reasoning-i1-GGUF | mradermacher | 2026-01-22T10:54:34Z | 170 | 1 | transformers | [
"transformers",
"gguf",
"reasoning",
"thinking",
"gemma3",
"deep thinking",
"finetune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
... | null | 2026-01-22T08:53:21Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 463,
"end": 507,
"text": "Gemma-3-27b-it-Gemini-Extreme-Deep-Reasoning",
"label": "benchmark name",
"score": 0.65095055103302
},
{
"start": 644,
"end": 696,
"text": "Gemma-3-27b-it-Gemini-Extreme-Deep-Reasoning-i1-GGUF",
"label": "benchmark name",
"score": 0.72... |
nvidia/Qwen3-Next-80B-A3B-Thinking-NVFP4 | nvidia | 2026-02-09T08:54:19Z | 110,317 | 53 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"qwen3_next",
"nvidia",
"ModelOpt",
"Qwen3",
"quantized",
"NVFP4",
"nvfp4",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3-Next-80B-A3B-Thinking",
"base_model:quantized:Qwen/Qwen3-Next-80B-A3B-Thinking",
"license:apache-2.0",
"modelopt",
"... | text-generation | 2025-12-11T19:48:53Z | # Model Overview
## Description:
The NVIDIA Qwen3-Next-80B-A3B-Thinking NVFP4 model is the quantized version of Alibaba's Qwen3-Next-80B-A3B-Thinking model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/Qwen/... | [] |
huihui-ai/Huihui-Qwen3-Coder-30B-A3B-Instruct-abliterated | huihui-ai | 2025-08-02T15:23:51Z | 631 | 32 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"abliterated",
"uncensored",
"conversational",
"en",
"base_model:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"base_model:finetune:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-02T06:01:54Z | # huihui-ai/Huihui-Qwen3-Coder-30B-A3B-Instruct-abliterated
This is an uncensored version of [Qwen/Qwen3-Coder-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) t... | [] |
mradermacher/FBK_Qwen3-VL-4B-GGUF | mradermacher | 2026-02-23T06:16:55Z | 181 | 1 | transformers | [
"transformers",
"gguf",
"ja",
"dataset:tyqiangz/multilingual-sentiments",
"dataset:izumi-lab/wikipedia-ja-20230720",
"base_model:Genticca/FBK_Qwen3-VL-4B",
"base_model:quantized:Genticca/FBK_Qwen3-VL-4B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-23T06:11:01Z | ## 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": 361,
"end": 376,
"text": "FBK_Qwen3-VL-4B",
"label": "benchmark name",
"score": 0.6797995567321777
},
{
"start": 513,
"end": 533,
"text": "FBK_Qwen3-VL-4B-GGUF",
"label": "benchmark name",
"score": 0.7271965742111206
},
{
"start": 1229,
"end": 1249,... |
mradermacher/Schematron-3B-GGUF | mradermacher | 2026-02-07T16:34:34Z | 113 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:inference-net/Schematron-3B",
"base_model:quantized:inference-net/Schematron-3B",
"license:llama3.2",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-05T12:36:00Z | ## 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": 516,
"end": 534,
"text": "Schematron-3B-GGUF",
"label": "benchmark name",
"score": 0.6074534058570862
}
] |
OpenDFM/ChemDFM-R-14B | OpenDFM | 2026-01-14T05:19:45Z | 211 | 6 | null | [
"safetensors",
"qwen2",
"chemistry",
"text-generation",
"conversational",
"en",
"zh",
"arxiv:2507.21990",
"arxiv:2401.14818",
"license:agpl-3.0",
"region:us"
] | text-generation | 2025-10-26T03:54:20Z | # ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge
While large language models (LLMs) have achieved impressive progress, their application in scientific domains such as chemistry remains hindered by shallow domain understanding and limited reasoning capabilities. In this work, we focus on ... | [] |
ChrisLalk/German-Emotions | ChrisLalk | 2025-06-15T15:02:48Z | 585 | 6 | transformers | [
"transformers",
"safetensors",
"xlm-roberta",
"text-classification",
"medical",
"de",
"dataset:google-research-datasets/go_emotions",
"base_model:FacebookAI/xlm-roberta-base",
"base_model:finetune:FacebookAI/xlm-roberta-base",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compa... | text-classification | 2024-07-15T09:13:45Z | # Model Card for German-Emotions
# German-Emotions
This model is designed to infer 27 emotions and a *neutral* category from German text. It is a fine-tuned version of **FacebookAI/xlm-roberta-base**, trained on the **German translation** of the [GoEmotions dataset](https://huggingface.co/datasets/google-research-data... | [] |
myshell-ai/MeloTTS-English-v2 | myshell-ai | 2024-03-01T17:34:32Z | 388 | 25 | transformers | [
"transformers",
"text-to-speech",
"ko",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2024-02-29T14:53:13Z | # MeloTTS
MeloTTS is a **high-quality multi-lingual** text-to-speech library by [MyShell.ai](https://myshell.ai). Supported languages include:
| Model card | Example |
| --- | --- |
| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (American) | [Link](https://myshell-public-repo-hosting.s3.amazona... | [] |
mradermacher/Terminus-LFM2.5-350m-GGUF | mradermacher | 2026-04-21T01:46:15Z | 103 | 1 | transformers | [
"transformers",
"gguf",
"text-generation",
"terminal-bench",
"swe-bench",
"agents",
"en",
"dataset:OrionLLM/OpenAgentInstruct",
"base_model:OrionLLM/Terminus-LFM2.5-350m",
"base_model:quantized:OrionLLM/Terminus-LFM2.5-350m",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conv... | text-generation | 2026-04-20T20:37:54Z | ## 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": 361,
"end": 381,
"text": "Terminus-LFM2.5-350m",
"label": "benchmark name",
"score": 0.6897277235984802
},
{
"start": 518,
"end": 543,
"text": "Terminus-LFM2.5-350m-GGUF",
"label": "benchmark name",
"score": 0.7619770169258118
},
{
"start": 627,
"en... |
DiffusionWave/sam3 | DiffusionWave | 2025-11-29T23:13:31Z | 174 | 2 | transformers | [
"transformers",
"safetensors",
"sam3_video",
"feature-extraction",
"sam3",
"mask-generation",
"en",
"license:other",
"endpoints_compatible",
"region:us"
] | mask-generation | 2025-11-25T02:54:51Z | SAM 3 is a unified foundation model for promptable segmentation in images and videos. It can detect, segment, and track objects using text or visual prompts such as points, boxes, and masks. Compared to its predecessor [SAM 2](https://github.com/facebookresearch/sam2), SAM 3 introduces the ability to exhaustively segme... | [
{
"start": 550,
"end": 555,
"text": "SA-CO",
"label": "evaluation metric",
"score": 0.7366920709609985
}
] |
DavidAU/Gemma-3-4B-VL-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking | DavidAU | 2026-02-21T01:55:44Z | 625 | 6 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"uncensored",
"heretic",
"abliterated",
"unsloth",
"finetune",
"All use cases",
"bfloat16",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continu... | image-text-to-text | 2026-02-02T04:56:32Z | <small>Feb 16 2026: Upgraded Jinja Template with direct thinking logic to improve thinking activation.</small>
<h2>Gemma-3-4B-VL-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking</h2>
This is a fully uncensored, full deep thinking Gemma 4B fine tune using GLM 4.7 Flash
reasoning dataset via Unsloth via local hardware, Lin... | [
{
"start": 1039,
"end": 1052,
"text": "arc_challenge",
"label": "benchmark name",
"score": 0.7673011422157288
},
{
"start": 1053,
"end": 1061,
"text": "arc_easy",
"label": "benchmark name",
"score": 0.7280576825141907
},
{
"start": 1062,
"end": 1067,
"text... |
farbodtavakkoli/OTel-LLM-20B-IT | farbodtavakkoli | 2026-04-26T20:30:56Z | 18,991 | 1 | null | [
"pytorch",
"gpt_oss",
"telecom",
"telecommunications",
"gsma",
"fine-tuned",
"text-generation",
"conversational",
"en",
"base_model:openai/gpt-oss-20b",
"base_model:finetune:openai/gpt-oss-20b",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-13T11:34:32Z | # OTel-LLM-20B-IT
**OTel-LLM-20B-IT** is a telecom-specialized language model fine-tuned on telecommunications domain data. It is part of the [OTel Family of Models](https://huggingface.co/collections/farbodtavakkoli/otel-llm), an open-source initiative to build industry-standard AI models for the global telecommunica... | [] |
mradermacher/Huihui-Qwen3-4B-Instruct-2507-abliterated-i1-GGUF | mradermacher | 2026-01-01T02:11:45Z | 249 | 5 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-Qwen3-4B-Instruct-2507-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3-4B-Instruct-2507-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-08T00:32:41Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [] |
huihui-ai/Huihui-Qwen3-VL-2B-Thinking-abliterated | huihui-ai | 2025-12-15T07:30:14Z | 233 | 11 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"abliterated",
"uncensored",
"conversational",
"base_model:Qwen/Qwen3-VL-2B-Thinking",
"base_model:finetune:Qwen/Qwen3-VL-2B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-10-24T06:09:20Z | # huihui-ai/Huihui-Qwen3-VL-2B-Thinking-abliterated
This is an uncensored version of [Qwen/Qwen3-VL-2B-Thinking](https://huggingface.co/Qwen/Qwen3-VL-2B-Thinking) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it). ... | [] |
LuffyTheFox/Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-GGUF | LuffyTheFox | 2026-03-16T08:49:54Z | 565 | 2 | null | [
"gguf",
"qwen3_5",
"unsloth",
"qwen",
"qwen3.5",
"reasoning",
"chain-of-thought",
"lora",
"text-generation",
"en",
"zh",
"ko",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"base_model:Qwen/Qwen3.5-4B",
"base_model:adapter:Qwen/Qwen3.5-... | text-generation | 2026-03-16T08:47:47Z | # 🌟 Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled
## 📢 Announcement
> **Update:**
> This model has been **further enhanced with additional reasoning data distilled from Qwen3.5-27B**.
>
> The new training data introduces higher-quality reasoning trajectories across domains such as **science, instruction-following,... | [] |
mradermacher/revit-coder-14b-GGUF | mradermacher | 2026-03-03T07:09:20Z | 462 | 1 | transformers | [
"transformers",
"gguf",
"revit",
"bim",
"code-generation",
"architecture",
"engineering",
"construction",
"aec",
"ifc",
"fine-tuned",
"qlora",
"unsloth",
"en",
"dataset:custom",
"base_model:schauh11/revit-coder-14b",
"base_model:quantized:schauh11/revit-coder-14b",
"license:apache-... | null | 2026-03-03T06:53:32Z | ## 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": 513,
"end": 533,
"text": "revit-coder-14b-GGUF",
"label": "benchmark name",
"score": 0.6136935353279114
}
] |
TheDrummer/Precog-123B-v1-GGUF | TheDrummer | 2025-11-13T08:04:00Z | 125 | 5 | null | [
"gguf",
"base_model:mistralai/Mistral-Large-Instruct-2411",
"base_model:quantized:mistralai/Mistral-Large-Instruct-2411",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-28T19:01:38Z | # Join our Discord! https://discord.gg/BeaverAI
## More than 8000 members strong 💪 A hub for users and makers alike!
---
## Drummer is open for new opportunities: https://linktr.ee/thelocaldrummer
### Thank you to everyone who subscribed through [Patreon](https://www.patreon.com/TheDrummer). Your support helps me chug... | [] |
MBZUAI/MedMO-4B | MBZUAI | 2026-04-08T14:21:13Z | 3,010 | 15 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"medical",
"multimodal",
"grounding",
"report-generation",
"radiology",
"clinical-reasoning",
"mri",
"ct",
"histopathology",
"x-ray",
"fundus",
"conversational",
"arxiv:2602.06965",
"license:apache-2.0",
"endpoints_... | image-text-to-text | 2026-02-06T10:41:56Z | # MedMO-8B-Next: Grounding and Understanding Multimodal Large Language Model for Medical Images
[](https://arxiv.org/abs/2602.06965)
[](https://huggingface.co/MBZUAI/MedMO-4B)
[![Model](https://img.shields.io/... | [
{
"start": 2,
"end": 15,
"text": "MedMO-8B-Next",
"label": "benchmark name",
"score": 0.752119243144989
},
{
"start": 380,
"end": 393,
"text": "MedMO-4B-Next",
"label": "benchmark name",
"score": 0.6106831431388855
},
{
"start": 587,
"end": 600,
"text": "M... |
unsloth/medgemma-27b-it-GGUF | unsloth | 2025-07-10T07:15:12Z | 4,481 | 37 | transformers | [
"transformers",
"gguf",
"medical",
"unsloth - x-ray - pathology - dermatology - fundus - radiology report generation - chest-x-ray - medical-embeddings - image-classification - zero-shot-image-classification - image-feature-extraction - image-text-to-text",
"image-text-to-text",
"en",
"arxiv:2303.15343"... | image-text-to-text | 2025-07-09T22:13:24Z | <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... | [] |
mistralai/Ministral-3-8B-Reasoning-2512-GGUF | mistralai | 2026-01-15T11:19:00Z | 4,503 | 22 | vllm | [
"vllm",
"gguf",
"mistral-common",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"arxiv:2601.08584",
"base_model:mistralai/Ministral-3-8B-Reasoning-2512",
"base_model:quantized:mistralai/Ministral-3-8B-Reasoning-2512",
"license:apache-2.0",
"region:us",
"conv... | null | 2025-10-31T08:46:38Z | # Ministral 3 8B Reasoning 2512 GGUF
A balanced model in the Ministral 3 family, **Ministral 3 8B** is a powerful, efficient tiny language model with vision capabilities.
This model includes different quantization levels of the reasoning post-trained version in **GGUF**, trained for reasoning tasks, making it ideal f... | [
{
"start": 266,
"end": 270,
"text": "GGUF",
"label": "benchmark name",
"score": 0.6066251397132874
}
] |
Qwen/Qwen-7B | Qwen | 2024-01-04T06:42:50Z | 110,488 | 397 | transformers | [
"transformers",
"safetensors",
"qwen",
"text-generation",
"custom_code",
"zh",
"en",
"arxiv:2309.16609",
"license:other",
"region:us"
] | text-generation | 2023-08-03T02:51:18Z | # Qwen-7B
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/logo_qwen.jpg" width="400"/>
<p>
<br>
<p align="center">
🤗 <a href="https://huggingface.co/Qwen">Hugging Face</a>   |   🤖 <a href="https://modelscope.cn/organization/qwen">ModelScope</a>   | &n... | [] |
BAAI/bge-reranker-large | BAAI | 2024-05-11T13:39:02Z | 800,394 | 454 | transformers | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"xlm-roberta",
"text-classification",
"mteb",
"feature-extraction",
"en",
"zh",
"arxiv:2401.03462",
"arxiv:2312.15503",
"arxiv:2311.13534",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"model-index",
"text-embeddings-infer... | feature-extraction | 2023-09-12T07:39:18Z | **We have updated the [new reranker](https://github.com/FlagOpen/FlagEmbedding/tree/master/FlagEmbedding/llm_reranker), supporting larger lengths, more languages, and achieving better performance.**
<h1 align="center">FlagEmbedding</h1>
<h4 align="center">
<p>
<a href=#model-list>Model List</a> |
... | [] |
pixasocial/survival-uncensored-gemma-270m-v2 | pixasocial | 2025-08-27T06:33:26Z | 186 | 6 | peft | [
"peft",
"tensorboard",
"safetensors",
"gguf",
"gemma3_text",
"text-generation",
"base_model:adapter:google/gemma-3-270m-it",
"lora",
"transformers",
"survival",
"marketing",
"psychology",
"warfare",
"stoicism",
"history",
"roleplay",
"personas",
"conversation",
"micromodels",
"... | text-generation | 2025-08-25T14:49:13Z | # Uncensored-Q-270M-v2
Uncensored-Q-270M-v2 is a fine-tuned version of google/gemma-3-270m-it, featuring 268 million parameters. This model specializes in survival strategies, resistance tactics, an... | [] |
mradermacher/Jan-v1-edge-i1-GGUF | mradermacher | 2025-12-28T21:36:06Z | 150 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:janhq/Jan-v1-edge",
"base_model:quantized:janhq/Jan-v1-edge",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-04T21:44:44Z | ## 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_K... | [] |
llmfan46/gemma-4-31B-it-uncensored-heretic-GGUF | llmfan46 | 2026-04-11T11:17:13Z | 51,755 | 26 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"image-text-to-text",
"base_model:llmfan46/gemma-4-31B-it-uncensored-heretic",
"base_model:quantized:llmfan46/gemma-4-31B-it-uncensored-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
... | image-text-to-text | 2026-04-03T23:53:42Z | <div style="background-color: #ff4444; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
<h2 style="color: white; margin: 0 0 10px 0;">🚨⚠️ I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT ⚠️🚨</h2>
<p style="font-size: 18px; margin: 0 0 15px 0;">I can no longer upload new models u... | [] |
mradermacher/Pelican1.0-VL-7B-i1-GGUF | mradermacher | 2026-02-05T11:21:32Z | 230 | 1 | transformers | [
"transformers",
"gguf",
"robotics",
"Physical AI",
"embodied-ai",
"multimodal-learning",
"en",
"base_model:X-Humanoid/Pelican1.0-VL-7B",
"base_model:quantized:X-Humanoid/Pelican1.0-VL-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | robotics | 2025-11-14T01:05:31Z | ## 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": 643,
"text": "Pelican1.0-VL-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.7284873723983765
},
{
"start": 717,
"end": 738,
"text": "Pelican1.0-VL-7B-GGUF",
"label": "benchmark name",
"score": 0.6394338011741638
},
{
"start": 860,
"en... |
mradermacher/Harmonic-Moon-12B-i1-GGUF | mradermacher | 2025-12-09T04:40:53Z | 112 | 2 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Vortex5/Harmonic-Moon-12B",
"base_model:quantized:Vortex5/Harmonic-Moon-12B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-30T13:26:35Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 463,
"end": 480,
"text": "Harmonic-Moon-12B",
"label": "benchmark name",
"score": 0.7169376015663147
},
{
"start": 617,
"end": 642,
"text": "Harmonic-Moon-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.7730931639671326
},
{
"start": 716,
"end":... |
robometer/Robometer-4B | robometer | 2026-03-10T04:39:20Z | 915 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"reward model",
"robot learning",
"foundation models",
"arxiv:2603.02115",
"base_model:Qwen/Qwen3-VL-4B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-4B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-03-02T19:20:24Z | # Robometer 4B
**Paper:** [arXiv](https://arxiv.org/abs/2603.02115)
**Robometer** is a general-purpose vision-language reward model for robotics. It is trained on [RBM-1M](https://huggingface.co/datasets/) with **Qwen3-VL-4B** to predict **per-frame progress**, **per-frame success**, and **trajectory preferences** fr... | [
{
"start": 242,
"end": 260,
"text": "per-frame progress",
"label": "evaluation metric",
"score": 0.901560366153717
},
{
"start": 266,
"end": 283,
"text": "per-frame success",
"label": "evaluation metric",
"score": 0.9440100193023682
},
{
"start": 293,
"end": 3... |
upskyy/bge-m3-korean | upskyy | 2024-08-09T08:14:33Z | 147,572 | 63 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"korean",
"transformers",
"multilingual",
"sentence-similarity",
"af",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"cs",
"cy",
"da",
"de",
"el",
"en",
"es",
"et",
"eu",
"fa",
"fi",
"fr",... | sentence-similarity | 2024-08-09T04:55:37Z | # upskyy/bge-m3-korean
This model is korsts and kornli finetuning model from [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3). It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, a... | [] |
mradermacher/littlemonster-reasoning-12B-QKVO-heretic-HF-GGUF | mradermacher | 2026-03-03T10:01:40Z | 747 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"gemma3",
"heretic",
"uncensored",
"decensored",
"abliterated",
"littlemonster",
"reasoning",
"en",
"dataset:reedmayhew/LittleMonster",
"dataset:reedmayhew/gemini-3.1-pro-2048-reasoning-1100x",
"dataset:reedmayhew/LittleMons... | null | 2026-03-01T10:09:04Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: 1 -->
static ... | [] |
LGAI-EXAONE/EXAONE-Deep-2.4B | LGAI-EXAONE | 2026-02-06T06:27:48Z | 811 | 99 | transformers | [
"transformers",
"safetensors",
"exaone",
"text-generation",
"lg-ai",
"exaone-deep",
"conversational",
"custom_code",
"en",
"ko",
"arxiv:2503.12524",
"base_model:LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct",
"base_model:finetune:LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct",
"license:other",
"region:us"... | text-generation | 2025-03-12T04:41:47Z | <p align="center">
<img src="assets/EXAONE_Symbol+BI_3d.png", width="300", style="margin: 40 auto;">
<br>
# EXAONE-Deep-2.4B
## Introduction
We introduce EXAONE Deep, which exhibits superior capabilities in various reasoning tasks including math and coding benchmarks, ranging from 2.4B to 32B parameters developed an... | [
{
"start": 157,
"end": 168,
"text": "EXAONE Deep",
"label": "benchmark name",
"score": 0.9527820944786072
},
{
"start": 285,
"end": 289,
"text": "2.4B",
"label": "evaluation metric",
"score": 0.6556888222694397
},
{
"start": 293,
"end": 296,
"text": "32B",... |
dealignai/Nemotron-3-Nano-Omni-30B-A3B-JANGTQ4-CRACK | dealignai | 2026-05-01T22:02:32Z | 350 | 1 | mlx | [
"mlx",
"safetensors",
"nemotron_h",
"nemotron",
"nemotron-h",
"jangtq",
"crack",
"abliterated",
"uncensored",
"multimodal",
"vision",
"audio",
"speech",
"mamba-2",
"moe",
"reasoning",
"thinking",
"harmbench",
"radio-vit",
"parakeet",
"any-to-any",
"custom_code",
"en",
"... | any-to-any | 2026-04-29T17:26:30Z | > **Reasoning V3 SKU.** Loads via **[vMLX](https://vmlx.net)** or `jang-tools` Python. Follow [@dealignai](https://x.com/dealignai).
---
<div align="center">
<a href="https://vmlx.net">
<img src="vmlx-banner.png" width="240" />
<br/>
<strong>Built for vMLX</strong> — the only MLX inferencer with VL support, KV cache ... | [
{
"start": 1008,
"end": 1009,
"text": "Δ",
"label": "evaluation metric",
"score": 0.7758883833885193
}
] |
ibm-granite/granite-embedding-small-english-r2 | ibm-granite | 2026-01-21T18:38:43Z | 1,052,865 | 66 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"safetensors",
"modernbert",
"feature-extraction",
"granite",
"embeddings",
"transformers",
"mteb",
"en",
"arxiv:2508.21085",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | feature-extraction | 2025-07-17T20:41:53Z | # Granite-Embedding-Small-English-R2
<!-- Provide a quick summary of what the model is/does. -->
**Model Summary:** Granite-embedding-small-english-r2 is a 47M parameter dense biencoder embedding model from the Granite Embeddings collection that can be used to generate high quality text embeddings. This model produce... | [
{
"start": 703,
"end": 707,
"text": "BEIR",
"label": "benchmark name",
"score": 0.7406612634658813
},
{
"start": 709,
"end": 715,
"text": "ClapNQ",
"label": "benchmark name",
"score": 0.7375897765159607
},
{
"start": 735,
"end": 739,
"text": "COIR",
"l... |
mradermacher/FinR1-llama-8b-multi-language-thinking-i1-GGUF | mradermacher | 2025-12-05T02:54:30Z | 431 | 1 | transformers | [
"transformers",
"gguf",
"finance",
"fine-tuning",
"conversational-ai",
"quantitative-reasoning",
"multilingual",
"llama",
"reasoning-traces",
"structured-thinking",
"lightweight-llm",
"rag",
"en",
"zh",
"ar",
"uz",
"ja",
"es",
"dataset:Josephgflowers/Finance-Instruct-500k",
"da... | null | 2025-10-31T20:57:07Z | ## 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_... | [] |
ourafla/mental-health-bert-finetuned | ourafla | 2026-02-09T13:27:56Z | 655 | 9 | transformers | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"mental health",
"sentiment analysis",
"classification",
"en",
"dataset:nikhileswarkomati/suicide-watch",
"dataset:suchintikasarkar/sentiment-analysis-for-mental-health",
"dataset:custom/reddit-mental-health",
"dataset:... | text-classification | 2025-10-22T12:30:47Z | # MentalHealthBERT
A fine-tuned BERT-based model for multi-class mental health text classification, achieving **89.7% accuracy** on held-out test data.
---
## Model Description
This model is a fine-tuned version of [mental/mental-bert-base-uncased](https://huggingface.co/mental/mental-bert-base-uncased) designed to... | [] |
jinaai/jina-embeddings-v5-text-small-text-matching-mlx | jinaai | 2026-02-27T05:31:35Z | 367 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3",
"embeddings",
"jina",
"jina-embeddings-v5",
"feature-extraction",
"arxiv:2602.15547",
"base_model:jinaai/jina-embeddings-v5-text-small-text-matching",
"base_model:finetune:jinaai/jina-embeddings-v5-text-small-text-matching",
"license:cc-by-nc-4.0",
"region:eu"
] | feature-extraction | 2026-02-18T14:26:08Z | # Jina Embeddings v5 Text Small Text Matching - MLX
MLX port of Jina AI's v5-text-small-text-matching embedding model for Apple Silicon.
[Elastic Inference Service](https://www.elastic.co/docs/explore-analyze/elastic-inference/eis) | [ArXiv](https://arxiv.org/abs/2602.15547) | [Blog](https://jina.ai/news/jina-embeddi... | [] |
cyankiwi/Qwen3.5-2B-AWQ-BF16-INT4 | cyankiwi | 2026-03-27T12:39:18Z | 375 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-2B",
"base_model:quantized:Qwen/Qwen3.5-2B",
"license:apache-2.0",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | image-text-to-text | 2026-03-02T17:15:08Z | # Qwen3.5-2B
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
[](https://chat.qwen.ai)
> [!Note]
> This repository contains model weights and configuration files for the post-trained mode... | [] |
geoffmunn/Qwen3-1.7B-f16 | geoffmunn | 2026-03-13T08:34:54Z | 13,804 | 4 | null | [
"gguf",
"qwen3",
"qwen3-1.7b",
"qwen3-1.7b-gguf",
"llama.cpp",
"quantized",
"text-generation",
"chat",
"reasoning",
"imatrix",
"q3_hifi",
"q4_hifi",
"q5_hifi",
"4-bit",
"outlier-aware",
"high-fidelity",
"en",
"dataset:wikitext",
"dataset:codeparrot",
"dataset:openwebmath",
"b... | text-generation | 2025-09-20T04:48:58Z | # Qwen3-1.7B-f16-GGUF
This is a **GGUF-quantized version** of the **[Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B)** language model — a balanced **1.7-billion-parameter** LLM designed for **efficient local inference with strong reasoning and multilingual capabilities**.
Converted for use with `llama.cpp`, ... | [] |
0xA50C1A1/Llama-3.3-70B-Instruct-Heretic | 0xA50C1A1 | 2026-02-22T23:42:48Z | 211 | 2 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-3",
"meta",
"facebook",
"unsloth",
"pytorch",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"en",
"arxiv:2204.05149",
"base_model:unsloth/Llama-3.3-70B-Instruct",
"base_model:finetune:unslot... | text-generation | 2026-02-14T21:54:56Z | # This is a decensored version of [unsloth/Llama-3.3-70B-Instruct](https://huggingface.co/unsloth/Llama-3.3-70B-Instruct), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 38.77 |
| **attn.o_proj.max_weight** |... | [
{
"start": 506,
"end": 539,
"text": "mlp.down_proj.max_weight_position",
"label": "evaluation metric",
"score": 0.6606752276420593
},
{
"start": 556,
"end": 580,
"text": "mlp.down_proj.min_weight",
"label": "evaluation metric",
"score": 0.6673077344894409
},
{
"st... |
mradermacher/Qwen3.5-397B-A17B-FP8-GGUF | mradermacher | 2026-02-23T15:13:08Z | 400 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Qwen/Qwen3.5-397B-A17B-FP8",
"base_model:quantized:Qwen/Qwen3.5-397B-A17B-FP8",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-23T06:01:01Z | ## 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... | [] |
tiiuae/Falcon-H1-Tiny-90M-Instruct-GGUF | tiiuae | 2026-01-15T19:50:50Z | 1,180 | 13 | transformers | [
"transformers",
"gguf",
"falcon-h1",
"edge",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-13T06:52:57Z | <img src="https://cdn-uploads.huggingface.co/production/uploads/62441d1d9fdefb55a0b7d12c/l1du02RjuAZJcksI5tQ-F.png" alt="drawing" width="800"/>
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Training Details](#training-details)
3. [Usage](#usage)
4. [Evaluation](#evaluation)
5. [Citati... | [] |
mradermacher/Rukun-Qwen-32B-i1-GGUF | mradermacher | 2026-01-17T07:52:59Z | 117 | 1 | transformers | [
"transformers",
"gguf",
"rukun-negara",
"malaysia",
"safety",
"qwen",
"alignment",
"responsible-ai",
"governance",
"en",
"ms",
"zh",
"ta",
"base_model:EntermindAI/Rukun-Qwen-32B",
"base_model:quantized:EntermindAI/Rukun-Qwen-32B",
"license:openrail",
"endpoints_compatible",
"region... | null | 2026-01-16T10:33:15Z | ## 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": 467,
"end": 481,
"text": "Rukun-Qwen-32B",
"label": "benchmark name",
"score": 0.6053299307823181
},
{
"start": 618,
"end": 640,
"text": "Rukun-Qwen-32B-i1-GGUF",
"label": "benchmark name",
"score": 0.6934328675270081
},
{
"start": 714,
"end": 733,
... |
llm-jp/llm-jp-4-8b-thinking | llm-jp | 2026-04-24T01:37:15Z | 47,229 | 31 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"ja",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | 2026-03-16T00:08:19Z | # llm-jp-4-8b-thinking
LLM-jp-4 is a series of large language models developed by the [Research and Development Center for Large Language Models](https://llmc.nii.ac.jp/) at the [National Institute of Informatics](https://www.nii.ac.jp/en/).
This repository provides the **llm-jp-4-8b-thinking** model.
For an overview... | [] |
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