modelId stringlengths 9 107 | author stringlengths 3 37 | last_modified timestamp[us, tz=UTC]date 2021-03-22 21:11:33 2026-05-04 17:37:22 | downloads int64 100 72.3M | likes int64 1 4.99k | library_name stringclasses 132
values | tags listlengths 2 2.16k | pipeline_tag stringclasses 52
values | createdAt timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2026-05-03 03:15:09 | card stringlengths 1.51k 391k | entities listlengths 0 18 |
|---|---|---|---|---|---|---|---|---|---|---|
mradermacher/DarkIdol-LongWriter-v2-8B-Uncensored-1048k-i1-GGUF | mradermacher | 2025-02-12T10:23:27Z | 153 | 4 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-02-12T04:01:54Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/MrRobotoAI/DarkIdol-LongWriter-v2-8B-Uncensored-1048k
<!-- provided-files -->
static quants are availa... | [] |
WithinUsAI/Gemma3-PromptCoder-270m-it-Uncensored-GGUF | WithinUsAI | 2026-02-08T09:26:50Z | 297 | 3 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"dataset:microsoft/rStar-Coder",
"dataset:gokaygokay/prompt-enhancement-75k",
"dataset:gokaygokay/prompt-enhancer-dataset",
"base_model:AxionLab-official/DogeAI-v1.5-Coder",
"base_model:merge:AxionLab-official/DogeAI-v1.5-Coder",
"base_model:broadfield-... | null | 2026-02-08T08:36:05Z | # Gemma-3-Prompt-Coder-270m-it (Uncensored)
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
### Models Merged
The following models... | [] |
prithivMLmods/QIE-2511-Extract-Outfit | prithivMLmods | 2026-01-26T06:36:45Z | 3,948 | 19 | diffusers | [
"diffusers",
"lora",
"art",
"extract-outfit",
"image-to-image",
"en",
"base_model:Qwen/Qwen-Image-Edit-2511",
"base_model:adapter:Qwen/Qwen-Image-Edit-2511",
"doi:10.57967/hf/7646",
"license:apache-2.0",
"region:us"
] | image-to-image | 2026-01-25T14:58:51Z | 
![3](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/-OlmqhUJJ_Q3pj... | [] |
scpalmetto/Ouro-2.6B-Thinking-Fixed | scpalmetto | 2026-02-22T02:57:12Z | 1,400 | 2 | transformers | [
"transformers",
"safetensors",
"gguf",
"llama",
"text-generation",
"looped-language-model",
"reasoning",
"recurrent-depth",
"thinking",
"chain-of-thought",
"conversational",
"custom_code",
"arxiv:2510.25741",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
... | text-generation | 2026-02-21T08:23:56Z | # Ouro-2.6B-Thinking
## Model Description
**⚠️ IMPORTANT: This model is intended for research purposes only. It is provided as-is without warranties for production use. **
**Ouro-2.6B-Thinking** is a reasoning-specialized variant of the Ouro-2.6B base model, enhanced through supervis... | [
{
"start": 2,
"end": 20,
"text": "Ouro-2.6B-Thinking",
"label": "benchmark name",
"score": 0.8722191452980042
},
{
"start": 210,
"end": 228,
"text": "Ouro-2.6B-Thinking",
"label": "benchmark name",
"score": 0.8971096873283386
},
{
"start": 1043,
"end": 1063,
... |
PickyBinders/tea | PickyBinders | 2025-11-27T20:01:14Z | 6,744 | 1 | null | [
"safetensors",
"model_hub_mixin",
"pytorch_model_hub_mixin",
"license:mit",
"region:us"
] | null | 2025-11-10T16:20:56Z | # The Embedded Alphabet (TEA)
This repository contains the code accompanying our pre-print (link coming soon).
## Installation
```bash
python -m pip install git+https://github.com/PickyBinders/tea.git
```
## Sequence Conversion with TEA
The `tea_convert` command takes... | [
{
"start": 1487,
"end": 1504,
"text": "ENTROPY_THRESHOLD",
"label": "evaluation metric",
"score": 0.6523973941802979
}
] |
facebook/mms-tts-uzb-script_cyrillic | facebook | 2023-09-01T10:33:18Z | 1,116 | 9 | transformers | [
"transformers",
"pytorch",
"safetensors",
"vits",
"text-to-audio",
"mms",
"text-to-speech",
"arxiv:2305.13516",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2023-09-01T10:32:50Z | ---
license: cc-by-nc-4.0
tags:
- mms
- vits
pipeline_tag: text-to-speech
---
# Massively Multilingual Speech (MMS): Uzbek Text-to-Speech
This repository contains the **Uzbek (uzb-script_cyrillic)** language text-to-speech (TTS) model checkpoint.
This model is part of Facebook's [Massively Multilingual Speech](https... | [] |
mradermacher/UnPuzzler-sft-qwen-7b-answer-GGUF | mradermacher | 2025-10-31T05:05:19Z | 181 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen2",
"en",
"base_model:unlogic-ai/UnPuzzler-sft-qwen-7b-answer",
"base_model:quantized:unlogic-ai/UnPuzzler-sft-qwen-7b-answer",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-30T17:52:00Z | ## 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... | [] |
mlnomad/yatnmn-softplus-d22-chinchilla-1B-pytorch | mlnomad | 2026-04-29T17:12:16Z | 2,342 | 2 | transformers | [
"transformers",
"safetensors",
"yatnmn_gpt",
"text-generation",
"pytorch",
"gpt",
"yatnmn",
"nmn",
"chinchilla",
"nanochat",
"1b",
"custom_code",
"en",
"dataset:allenai/c4",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-04-17T16:15:08Z | # YatNMN-Softplus d=22 Chinchilla (1.08B) — PyTorch / HuggingFace Transformers
A **1.08B-parameter** nanochat-architecture GPT with YatNMN-Softplus MLP, trained on English C4 to Chinchilla-optimal token budget (20× params ≈ 21.5B tokens) on a **single TPU v6e-8** using FSDP + gradient accumulation.
This is the **1B-s... | [] |
allenai/Olmo-3-32B-Think | allenai | 2026-01-05T16:23:30Z | 5,257 | 169 | transformers | [
"transformers",
"safetensors",
"olmo3",
"text-generation",
"conversational",
"en",
"dataset:allenai/Dolci-Think-RL",
"arxiv:2512.13961",
"base_model:allenai/Olmo-3-32B-Think-DPO",
"base_model:finetune:allenai/Olmo-3-32B-Think-DPO",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-11-19T20:48:33Z | # Model Details
<img alt="Logo for Olmo 3 32B Think model" src="olmo-think.png" width="240px" style="margin-left:'auto' margin-right:'auto' display:'block'">
# Model Card for Olmo 3 32B Think
We introduce Olmo 3, a new family of 7B and 32B models both Instruct and Think variants. Long chain-of-thought thinking impro... | [] |
unsloth/granite-4.0-h-350m-unsloth-bnb-4bit | unsloth | 2025-10-28T11:22:30Z | 311 | 1 | transformers | [
"transformers",
"safetensors",
"granitemoehybrid",
"text-generation",
"language",
"unsloth",
"granite-4.0",
"conversational",
"arxiv:0000.00000",
"base_model:ibm-granite/granite-4.0-h-350m",
"base_model:quantized:ibm-granite/granite-4.0-h-350m",
"license:apache-2.0",
"endpoints_compatible",
... | text-generation | 2025-10-28T11:22:23Z | <div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
<div style="display: flex; gap: 5px; align-items: center; ">
<a href="https://github.com/u... | [] |
google/flan-t5-xxl | google | 2023-07-27T11:42:14Z | 18,911 | 1,279 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"t5",
"text2text-generation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:svakulenk0/qrecc",
"dataset:taskmaster2",
"dataset:djaym7/wiki_dialog",
"dataset:deepmind/code_contests",
"dataset:lambada",
"dataset:gsm8k",
"dat... | null | 2022-10-21T15:54:59Z | # Model Card for FLAN-T5 XXL
<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/flan2_architecture.jpg"
alt="drawing" width="600"/>
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Usage](#usage)
3. [Uses](#uses)
4. [Bias, Risk... | [
{
"start": 17,
"end": 24,
"text": "FLAN-T5",
"label": "benchmark name",
"score": 0.65868079662323
},
{
"start": 547,
"end": 554,
"text": "FLAN-T5",
"label": "benchmark name",
"score": 0.6647940278053284
},
{
"start": 912,
"end": 919,
"text": "Flan-T5",
... |
openai/whisper-base.en | openai | 2024-01-22T17:55:08Z | 80,310 | 41 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"en",
"arxiv:2212.04356",
"license:apache-2.0",
"model-index",
"eval-results",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | automatic-speech-recognition | 2022-09-26T06:58:29Z | # Whisper
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours
of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need
for fine-tuning.
Whisper was proposed in the paper [Robust Speec... | [] |
starsfriday/Qwen-Image-Edit-Skip-Sora | starsfriday | 2025-10-13T01:21:22Z | 475 | 2 | diffusers | [
"diffusers",
"image-generation",
"lora",
"Qwen-Image",
"image-to-image",
"en",
"base_model:Qwen/Qwen-Image-Edit",
"base_model:adapter:Qwen/Qwen-Image-Edit",
"license:apache-2.0",
"region:us"
] | image-to-image | 2025-10-11T08:46:26Z | # starsfriday Qwen-Image-Edit LoRA
<Gallery />
## Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This is a model for generation of oil painting style, trained on ```Qwen/Qwen-Image-Edit```, and the main purpose is to generate images in an oil painting style. Surprisingly, this o... | [] |
upstage/Solar-Open-100B | upstage | 2026-01-30T04:46:43Z | 6,009 | 460 | transformers | [
"transformers",
"safetensors",
"solar_open",
"text-generation",
"upstage",
"solar",
"moe",
"100b",
"llm",
"conversational",
"en",
"ko",
"arxiv:2601.07022",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-10T01:10:35Z | <p align="center">
<img src="./Solar-Open-100B.png" alt="Solar Open Model" width="100%">
</p>
# **Solar Open**
**Solar Open** is Upstage's flagship **102B-parameter** large language model, trained **entirely from scratch** and released under the **Upstage Solar License** (see [LICENSE](#license) for details). As a ... | [
{
"start": 1139,
"end": 1143,
"text": "INT4",
"label": "evaluation metric",
"score": 0.6541363596916199
}
] |
unsloth/Qwen3-VL-235B-A22B-Instruct-1M-GGUF | unsloth | 2025-11-01T19:17:17Z | 5,313 | 2 | null | [
"gguf",
"unsloth",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-235B-A22B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-235B-A22B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-01T12:06:08Z | > [!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>
... | [] |
QuantTrio/GLM-5-AWQ | QuantTrio | 2026-02-28T14:49:20Z | 3,238 | 3 | transformers | [
"transformers",
"safetensors",
"glm_moe_dsa",
"text-generation",
"vLLM",
"AWQ",
"conversational",
"base_model:zai-org/GLM-5",
"base_model:quantized:zai-org/GLM-5",
"license:mit",
"endpoints_compatible",
"4-bit",
"awq",
"region:us"
] | text-generation | 2026-02-27T09:43:04Z | # GLM-5-AWQ
Base model: [zai-org/GLM-5](https://huggingface.co/zai-org/GLM-5)
This repo quantizes the model using data-free quantization (no calibration dataset required).
### 【Dependencies / Installation】
```python
# NOTE:
# vllm==0.16.0rc2 absolutely would NOT work!
# Must upgrade to >=0.16.1rc1
vllm>=0.16.1rc1.... | [] |
mradermacher/gpt-oss-120b-heretic-v2-GGUF | mradermacher | 2026-03-15T03:10:50Z | 4,978 | 1 | transformers | [
"transformers",
"gguf",
"vllm",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:llmfan46/gpt-oss-120b-heretic-v2",
"base_model:quantized:llmfan46/gpt-oss-120b-heretic-v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-14T10:17:46Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: MXFP4_MOE 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: -->... | [] |
skt/A.X-4.0 | skt | 2025-07-17T05:08:53Z | 565 | 173 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"en",
"ko",
"license:other",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-07-02T22:28:17Z | # A.X 4.0
<p align="center">
<picture>
<img src="./assets/A.X_logo_ko_4x3.png" width="45%" style="margin: 40px auto;">
</picture>
</p>
<p align="center"> <a href="https://huggingface.co/collections/skt/ax-4-68637ebaa63b9cc51925e886">🤗 Models</a> | <a href="https://sktax.chat/chat">💬 Chat</a> | ... | [
{
"start": 2,
"end": 9,
"text": "A.X 4.0",
"label": "benchmark name",
"score": 0.8272037506103516
},
{
"start": 449,
"end": 456,
"text": "A.X-4.0",
"label": "benchmark name",
"score": 0.6627174615859985
},
{
"start": 481,
"end": 488,
"text": "A.X 4.0",
... |
ertghiu256/Qwen3-4b-tcomanr-merge-v2.7 | ertghiu256 | 2025-12-07T09:33:19Z | 128 | 3 | transformers | [
"transformers",
"safetensors",
"gguf",
"qwen3",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2306.01708",
"base_model:GetSoloTech/Qwen3-Code-Reasoning-4B",
"base_model:merge:GetSoloTech/Qwen3-Code-Reasoning-4B",
"base_model:Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507... | text-generation | 2025-12-05T00:08:58Z | # Tcomanr-V2_7
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen3-4b-Instruct-2507](https://huggingface.co/Qwen/Qwe... | [] |
Qwen/Qwen3.5-2B | Qwen | 2026-03-02T11:26:29Z | 1,110,105 | 208 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-2B-Base",
"base_model:finetune:Qwen/Qwen3.5-2B-Base",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-text-to-text | 2026-02-28T23:56:16Z | # 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... | [] |
lightx2v/Qwen-Image-Lightning | lightx2v | 2025-11-03T11:20:08Z | 406,451 | 781 | diffusers | [
"diffusers",
"Qwen-Image",
"distillation",
"LoRA",
"lora",
"text-to-image",
"en",
"zh",
"base_model:Qwen/Qwen-Image",
"base_model:adapter:Qwen/Qwen-Image",
"license:apache-2.0",
"region:us"
] | text-to-image | 2025-08-09T14:57:18Z | Please refer to [Qwen-Image-Lightning github](https://github.com/ModelTC/Qwen-Image-Lightning/) to learn how to use the models.
use with diffusers 🧨:
make sure to install diffusers from `main` (`pip install git+https://github.com/huggingface/diffusers.git`)
```
from diffusers import DiffusionPipeline, FlowMatchEuler... | [] |
mradermacher/Monika-9B-i1-GGUF | mradermacher | 2026-03-16T13:21:28Z | 714 | 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",
"imatrix",
"conversational"
] | null | 2026-03-16T11:58:45Z | ## 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": 617,
"end": 634,
"text": "Monika-9B-i1-GGUF",
"label": "benchmark name",
"score": 0.71452796459198
},
{
"start": 1183,
"end": 1200,
"text": "Monika-9B-i1-GGUF",
"label": "benchmark name",
"score": 0.6546730995178223
}
] |
ibm-granite/granite-vision-3.3-2b-chart2csv-preview | ibm-granite | 2026-02-09T05:55:25Z | 3,300 | 14 | transformers | [
"transformers",
"safetensors",
"llava_next",
"image-text-to-text",
"generated_from_trainer",
"sft",
"trl",
"conversational",
"arxiv:2507.19492",
"arxiv:2502.09927",
"base_model:ibm-granite/granite-vision-3.3-2b",
"base_model:finetune:ibm-granite/granite-vision-3.3-2b",
"license:apache-2.0",
... | image-text-to-text | 2026-01-29T18:48:08Z | # granite-vision-3.3-2b-chart2csv-preview
**Model Summary**:
Chart2CSV is a specialized vision-language model fine-tuned for the accurate extraction of tabular data from charts and visualizations. Built on top of [ibm-granite/granite-vision-3.3-2b](https://huggingface.co/ibm-granite/granite-vision-3.3-2b), it produc... | [] |
unsloth/all-MiniLM-L6-v2 | unsloth | 2026-01-22T14:28:24Z | 1,290 | 2 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"tf",
"rust",
"onnx",
"safetensors",
"openvino",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"dataset:s2orc",
"dataset:flax-sentence-embeddings/stackexchange_xml",
"dataset:ms_marco",
"dataset:gooaq",
"dataset:yahoo_a... | sentence-similarity | 2026-01-22T14:28:21Z | # all-MiniLM-L6-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have [sentence-transformers](ht... | [] |
LibraxisAI/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-vmlx-mxfp4 | LibraxisAI | 2026-04-30T23:29:39Z | 1,017 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"vision",
"multimodal",
"vmlx",
"vlm",
"reasoning",
"distillation",
"chain-of-thought",
"qwen",
"qwen3.6",
"mixture-of-experts",
"moe",
"lora",
"unsloth",
"abliterated",
"uncensored",
"apple-silicon",
"huihui",
"qua... | image-text-to-text | 2026-04-27T10:09:27Z | # Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-vmlx-mxfp4
`Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-vmlx-mxfp4` is an MLX MXFP4 vision-language checkpoint derived from `huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated`, packaged for local multimodal prompting on Apple Silicon.
## Intended ... | [
{
"start": 139,
"end": 144,
"text": "MXFP4",
"label": "benchmark name",
"score": 0.6059767007827759
}
] |
coder3101/Qwen3.5-122B-A10B-heretic | coder3101 | 2026-03-08T18:40:40Z | 452 | 9 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"base_model:Qwen/Qwen3.5-122B-A10B",
"base_model:finetune:Qwen/Qwen3.5-122B-A10B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-03-04T20:04:05Z | # This is a decensored version of [Qwen/Qwen3.5-122B-A10B](https://huggingface.co/Qwen/Qwen3.5-122B-A10B), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0 with Multi-directional refusal supression - TEXT ONLY
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** |... | [
{
"start": 35,
"end": 57,
"text": "Qwen/Qwen3.5-122B-A10B",
"label": "benchmark name",
"score": 0.6014239192008972
},
{
"start": 838,
"end": 860,
"text": "Qwen/Qwen3.5-122B-A10B",
"label": "benchmark name",
"score": 0.7283529043197632
},
{
"start": 885,
"end":... |
maddes8cht/cxllin-StableHermes-3b-gguf | maddes8cht | 2023-11-24T19:10:00Z | 1,519 | 5 | transformers | [
"transformers",
"gguf",
"General",
"question-answering",
"en",
"dataset:teknium/openhermes",
"license:mit",
"endpoints_compatible",
"region:us"
] | question-answering | 2023-11-15T17:44:13Z | []()
I'm constantly enhancing these model descriptions to provide you with the most relevant and comprehensive information
# StableHermes-3b - GGUF
- Model creator: [cxllin](https://huggingface.co/cxllin)
- Original model: [StableHermes-3b](... | [
{
"start": 204,
"end": 219,
"text": "StableHermes-3b",
"label": "benchmark name",
"score": 0.6113415956497192
},
{
"start": 303,
"end": 318,
"text": "StableHermes-3b",
"label": "benchmark name",
"score": 0.6445485949516296
}
] |
tencent/Hunyuan-1.8B-Instruct | tencent | 2025-08-06T07:30:26Z | 1,626 | 233 | transformers | [
"transformers",
"safetensors",
"hunyuan_v1_dense",
"text-generation",
"conversational",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-07-30T03:14:30Z | <p align="center">
<img src="https://dscache.tencent-cloud.cn/upload/uploader/hunyuan-64b418fd052c033b228e04bc77bbc4b54fd7f5bc.png" width="400"/> <br>
</p><p></p>
<p align="center">
🤗 <a href="https://huggingface.co/tencent/"><b>HuggingFace</b></a> |
🤖 <a href="https://modelscope.cn/mo... | [] |
RedHatAI/NVIDIA-Nemotron-3-Super-120B-A12B-FP8 | RedHatAI | 2026-04-28T22:10:43Z | 1,701 | 1 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"nvidia",
"pytorch",
"nemotron-3",
"latent-moe",
"mtp",
"conversational",
"custom_code",
"en",
"fr",
"es",
"it",
"de",
"ja",
"zh",
"dataset:nvidia/nemotron-post-training-v3",
"dataset:nvidia/nemotron-pre-training-d... | text-generation | 2026-03-26T22:04:11Z | <h1 align: center; style="display: flex; align-items: center; gap: 10px; margin: 0;">
NVIDIA-Nemotron-3-Super-120B-A12B-FP8
<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/produc... | [] |
mradermacher/gemma-3-12b-it-heretic-x-GGUF | mradermacher | 2025-12-24T16:34:18Z | 222 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:LastRef/gemma-3-12b-it-heretic-x",
"base_model:quantized:LastRef/gemma-3-12b-it-heretic-x",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-24T15:32:33Z | ## 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 ... | [] |
PaddlePaddle/PP-LCNet_x1_0_doc_ori | PaddlePaddle | 2025-07-22T09:58:38Z | 469,764 | 7 | PaddleOCR | [
"PaddleOCR",
"OCR",
"PaddlePaddle",
"doc_img_orientation_classification",
"image-to-text",
"en",
"zh",
"license:apache-2.0",
"region:us"
] | image-to-text | 2025-06-06T03:25:06Z | # PP-LCNet_x1_0_doc_ori
## Introduction
The Document Image Orientation Classification Module is primarily designed to distinguish the orientation of document images and correct them through post-processing. During processes such as document scanning or ID photo capturing, the device might be rotated to achieve cleare... | [
{
"start": 707,
"end": 731,
"text": "Recognition Avg Accuracy",
"label": "evaluation metric",
"score": 0.640903115272522
}
] |
lmstudio-community/Qwen3-235B-A22B-Instruct-2507-GGUF | lmstudio-community | 2025-07-21T20:40:48Z | 1,884 | 11 | null | [
"gguf",
"text-generation",
"base_model:Qwen/Qwen3-235B-A22B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-235B-A22B-Instruct-2507",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-07-21T19:13:36Z | ## 💫 Community Model> Qwen3 235B A22B Instruct 2507 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>
*... | [] |
pvlabs/Chytrej1-90M-Base | pvlabs | 2026-04-10T21:33:27Z | 1,033 | 2 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"causal-lm",
"pretrained",
"chytrej",
"base",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-27T16:40:27Z | # Chytrej1-90M-Base
The first model in the Chytrej series. A fully custom pretrained language model built from scratch on the LLaMA architecture.
Chytrej (Czech slang for "clever/smart") is a long-term model series by PingVortex Labs. Every model in the series will be fully custom pretrained from scratch, then the mo... | [
{
"start": 2,
"end": 19,
"text": "Chytrej1-90M-Base",
"label": "benchmark name",
"score": 0.7117350697517395
},
{
"start": 44,
"end": 51,
"text": "Chytrej",
"label": "benchmark name",
"score": 0.6038041114807129
},
{
"start": 953,
"end": 958,
"text": "Scor... |
embedl/Qwen3-1.7B-FlashHead-W4A16 | embedl | 2026-04-15T12:20:58Z | 105 | 3 | null | [
"safetensors",
"qwen3",
"text-generation-inference",
"base_model:Qwen/Qwen3-1.7B",
"base_model:quantized:Qwen/Qwen3-1.7B",
"license:other",
"compressed-tensors",
"region:us"
] | null | 2025-12-08T23:48:33Z | # Qwen3-1.7B-FlashHead-W4A16
[](https://github.com/embedl/flash-head)
**Optimized version of Qwen3-1.7B using Quantization and FlashHead, Em... | [
{
"start": 690,
"end": 698,
"text": "MMLU-Pro",
"label": "benchmark name",
"score": 0.7233564257621765
},
{
"start": 700,
"end": 709,
"text": "HellaSwag",
"label": "benchmark name",
"score": 0.7008064389228821
},
{
"start": 711,
"end": 716,
"text": "GSM8K"... |
mradermacher/tsundere-1-i1-GGUF | mradermacher | 2026-02-03T16:02:10Z | 131 | 3 | transformers | [
"transformers",
"gguf",
"en",
"base_model:NaruseShiroha/tsundere-1",
"base_model:quantized:NaruseShiroha/tsundere-1",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-03T14:00:24Z | ## 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_... | [] |
ByteDance-Seed/UI-TARS-1.5-7B | ByteDance-Seed | 2025-04-18T01:35:38Z | 134,106 | 531 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"multimodal",
"gui",
"conversational",
"en",
"arxiv:2501.12326",
"arxiv:2404.07972",
"arxiv:2409.08264",
"arxiv:2401.13919",
"arxiv:2504.01382",
"arxiv:2405.14573",
"arxiv:2410.23218",
"arxiv:2504.07981",
"license:apa... | image-text-to-text | 2025-04-16T09:40:50Z | ---
license: apache-2.0
language:
- en
pipeline_tag: image-text-to-text
tags:
- multimodal
- gui
library_name: transformers
---
# UI-TARS-1.5 Model
We shared the latest progress of the UI-TARS-1.5 model in [our blog](https://seed-tars.com/1.5/), which excels in playing games and performing GUI tasks.
## Introductio... | [
{
"start": 132,
"end": 143,
"text": "UI-TARS-1.5",
"label": "benchmark name",
"score": 0.6976224184036255
},
{
"start": 188,
"end": 199,
"text": "UI-TARS-1.5",
"label": "benchmark name",
"score": 0.6091048717498779
},
{
"start": 323,
"end": 334,
"text": "U... |
unsloth/GLM-4.1V-9B-Thinking-GGUF | unsloth | 2025-07-25T12:34:07Z | 6,109 | 40 | transformers | [
"transformers",
"gguf",
"reasoning",
"unsloth",
"image-text-to-text",
"en",
"zh",
"arxiv:2507.01006",
"base_model:zai-org/GLM-4.1V-9B-Thinking",
"base_model:quantized:zai-org/GLM-4.1V-9B-Thinking",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-07-25T11:47:05Z | > [!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>
... | [] |
mlx-community/Kimi-K2-Instruct-0905-mlx-DQ3_K_M | mlx-community | 2025-11-08T15:33:50Z | 1,151 | 12 | mlx | [
"mlx",
"safetensors",
"kimi_k2",
"text-generation",
"conversational",
"custom_code",
"arxiv:2505.02390",
"base_model:moonshotai/Kimi-K2-Instruct-0905",
"base_model:quantized:moonshotai/Kimi-K2-Instruct-0905",
"license:other",
"4-bit",
"region:us"
] | text-generation | 2025-09-06T10:16:03Z | # mlx-community/Kimi-K2-Instruct-0905-mlx-DQ3_K_M
This model [mlx-community/Kimi-K2-Instruct-0905-mlx-DQ3_K_M](https://huggingface.co/mlx-community/Kimi-K2-Instruct-0905-mlx-DQ3_K_M) was
converted to MLX format from [moonshotai/Kimi-K2-Instruct-0905](https://huggingface.co/moonshotai/Kimi-K2-Instruct-0905)
using mlx-l... | [
{
"start": 1155,
"end": 1162,
"text": "DQ3_K_M",
"label": "benchmark name",
"score": 0.6562529802322388
},
{
"start": 1412,
"end": 1419,
"text": "DQ3_K_M",
"label": "benchmark name",
"score": 0.633411705493927
}
] |
openbmb/MiniCPM-o-4_5-gguf | openbmb | 2026-02-12T05:05:50Z | 18,817 | 107 | transformers | [
"transformers",
"gguf",
"minicpm-o",
"minicpm-v",
"multimodal",
"full-duplex",
"any-to-any",
"arxiv:2408.01800",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | any-to-any | 2026-02-02T04:42:00Z | A Gemini 2.5 Flash Level MLLM for Vision, Speech, and Full-Duplex Mulitmodal Live Streaming on Your Phone
[GitHub](https://github.com/OpenBMB/MiniCPM-o) | [CookBook](https://github.com/OpenSQZ/MiniCPM-V-CookBook) | [Streaming Demo](https://huggingface.co/spaces/openbmb/minicpm-omni) | [Chatbot Demo](http://211.93.21.1... | [
{
"start": 143,
"end": 152,
"text": "MiniCPM-o",
"label": "benchmark name",
"score": 0.6970912218093872
},
{
"start": 374,
"end": 383,
"text": "MiniCPM-o",
"label": "benchmark name",
"score": 0.6591600775718689
},
{
"start": 955,
"end": 963,
"text": "Qwen3... |
mradermacher/Logics-Qwen3-Math-4B-i1-GGUF | mradermacher | 2025-12-10T09:08:33Z | 121 | 1 | transformers | [
"transformers",
"gguf",
"trl",
"math",
"text-generation-inference",
"code",
"en",
"dataset:nvidia/OpenCodeReasoning",
"dataset:nvidia/OpenMathReasoning",
"dataset:prithivMLmods/Helios-R-6M",
"base_model:prithivMLmods/Logics-Qwen3-Math-4B",
"base_model:quantized:prithivMLmods/Logics-Qwen3-Math-... | null | 2025-10-16T00:11:04Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
trillionlabs/gWorld-8B | trillionlabs | 2026-02-04T05:00:04Z | 490 | 51 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"en",
"ko",
"arxiv:2602.01576",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-01-28T17:12:44Z | # gWorld-8B 🌍📱
<p align="center">
<picture>
<img src="https://github.com/trillion-labs/gWorld/blob/main/trillion.jpg?raw=true", style="width: 40%;">
</picture>
</p>
<div align="center">
📄 [Paper](https://arxiv.org/abs/2602.01576) 🎬 [Demo](https://trillionlabs-gworld.github.io/) 👨🏻💻 [Code](https://github.c... | [] |
yqkm/Unrestricted-Knowledge-Will-Not-Refuse-15B-Q4_K_M-GGUF | yqkm | 2025-10-20T12:08:44Z | 438 | 7 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:TroyDoesAI/Unrestricted-Knowledge-Will-Not-Refuse-15B",
"base_model:quantized:TroyDoesAI/Unrestricted-Knowledge-Will-Not-Refuse-15B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-20T12:08:03Z | # yqkm/Unrestricted-Knowledge-Will-Not-Refuse-15B-Q4_K_M-GGUF
This model was converted to GGUF format from [`TroyDoesAI/Unrestricted-Knowledge-Will-Not-Refuse-15B`](https://huggingface.co/TroyDoesAI/Unrestricted-Knowledge-Will-Not-Refuse-15B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/space... | [] |
mradermacher/Qwen3.5-27B-heretic-RYS-XL-i1-GGUF | mradermacher | 2026-04-18T15:23:29Z | 9,033 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:p-e-r-e-g-r-i-n-e/Qwen3.5-27B-heretic-RYS-XL",
"base_model:quantized:p-e-r-e-g-r-i-n-e/Qwen3.5-27B-heretic-RYS-XL",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"convers... | null | 2026-03-28T08:51:19Z | ## 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_... | [
{
"start": 636,
"end": 670,
"text": "Qwen3.5-27B-heretic-RYS-XL-i1-GGUF",
"label": "benchmark name",
"score": 0.679606020450592
},
{
"start": 744,
"end": 775,
"text": "Qwen3.5-27B-heretic-RYS-XL-GGUF",
"label": "benchmark name",
"score": 0.6058161854743958
}
] |
lmsys/SGLang-EAGLE3-Qwen3-Coder-30B-A3B-Instruct-SpecForge | lmsys | 2025-12-28T03:11:07Z | 327 | 3 | null | [
"safetensors",
"llama",
"dataset:mlabonne/open-perfectblend",
"license:mit",
"region:us"
] | null | 2025-12-22T14:27:51Z | 
# EAGLE3 For Qwen/Qwen3-Coder-30B-A3B-Instruct
## About
**SpecBundle** is an open-source initiative, jointly driven by the community and industry, to democratize speculative decoding by provid... | [
{
"start": 127,
"end": 133,
"text": "EAGLE3",
"label": "benchmark name",
"score": 0.7412710785865784
},
{
"start": 1094,
"end": 1100,
"text": "EAGLE3",
"label": "benchmark name",
"score": 0.7379645109176636
},
{
"start": 1468,
"end": 1485,
"text": "Accepta... |
mradermacher/YouToks-Instruct-Quantum-Physics-III-Llama-3.2-3B-Instruct-GGUF | mradermacher | 2025-08-27T07:47:14Z | 154 | 1 | transformers | [
"transformers",
"gguf",
"Physics",
"QuantumPhysics",
"Llama3.2-3b",
"MLX",
"en",
"dataset:jilp00/YouToks-Instruct-Quantum-Physics-III",
"base_model:MCES10-Software/YouToks-Instruct-Quantum-Physics-III-Llama-3.2-3B-Instruct",
"base_model:quantized:MCES10-Software/YouToks-Instruct-Quantum-Physics-II... | null | 2025-08-27T07:14:49Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static qu... | [] |
mradermacher/OmniDimen-V1.2-4B-Emotion-i1-GGUF | mradermacher | 2025-12-04T09:35:21Z | 101 | 2 | transformers | [
"transformers",
"gguf",
"zh",
"en",
"base_model:OmniDimen/OmniDimen-V1.2-4B-Emotion",
"base_model:quantized:OmniDimen/OmniDimen-V1.2-4B-Emotion",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-16T05:53:11Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 627,
"end": 660,
"text": "OmniDimen-V1.2-4B-Emotion-i1-GGUF",
"label": "benchmark name",
"score": 0.6642078757286072
}
] |
deepseek-ai/deepseek-coder-7b-instruct-v1.5 | deepseek-ai | 2024-02-05T03:38:36Z | 17,409 | 147 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-01-25T15:51:02Z | <p align="center">
<img width="1000px" alt="DeepSeek Coder" src="https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/pictures/logo.png?raw=true">
</p>
<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://coder.deepseek.com/">[🤖 Chat with DeepSeek Coder]</a> | <a href="https... | [] |
mradermacher/Qwen3-VL-4B-Thinking-abliterated-v1-GGUF | mradermacher | 2025-11-13T23:40:04Z | 151 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"abliterated",
"v1.0",
"agent",
"en",
"base_model:prithivMLmods/Qwen3-VL-4B-Thinking-abliterated-v1",
"base_model:quantized:prithivMLmods/Qwen3-VL-4B-Thinking-abliterated-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"con... | null | 2025-11-13T21:48:44Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
prithivMLmods/Qwen3.5-27B-Unredacted-MAX | prithivMLmods | 2026-03-11T02:34:32Z | 204 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"refusal-ablated",
"vllm",
"pytorch",
"bf16",
"max",
"alignment-modified",
"reasoning",
"conversational",
"en",
"base_model:Qwen/Q... | image-text-to-text | 2026-03-06T04:10:26Z | 
# **Qwen3.5-27B-Unredacted-MAX**
> **Qwen3.5-27B-Unredacted-MAX** is an unredacted evolution built on top of **Qwen/Qwen3.5-27B**. This model applies **advanced refusal direction analysis** and abliterated t... | [
{
"start": 116,
"end": 142,
"text": "Qwen3.5-27B-Unredacted-MAX",
"label": "benchmark name",
"score": 0.885818600654602
},
{
"start": 150,
"end": 176,
"text": "Qwen3.5-27B-Unredacted-MAX",
"label": "benchmark name",
"score": 0.8746228814125061
},
{
"start": 1044,
... |
timm/ViT-B-16-SigLIP-256 | timm | 2023-10-25T21:57:36Z | 40,752 | 3 | open_clip | [
"open_clip",
"safetensors",
"clip",
"siglip",
"zero-shot-image-classification",
"dataset:webli",
"arxiv:2303.15343",
"license:apache-2.0",
"region:us"
] | zero-shot-image-classification | 2023-10-16T23:16:55Z | # Model card for ViT-B-16-SigLIP-256
A SigLIP (Sigmoid loss for Language-Image Pre-training) model trained on WebLI.
This model has been converted to PyTorch from the original JAX checkpoints in [Big Vision](https://github.com/google-research/big_vision). These weights are usable in both OpenCLIP (image + text) and t... | [] |
khazarai/Qwen3-4B-Qwen3.6-plus-Reasoning-Slerp | khazarai | 2026-04-12T01:13:55Z | 210 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"mergekit",
"merge",
"conversational",
"en",
"dataset:khazarai/kimi-2.5-high-reasoning-250x",
"dataset:khazarai/qwen3.6-plus-high-reasoning-500x",
"base_model:khazarai/Qwen3-4B-Kimi2.5-Reasoning-Distilled",
"base_model:merge:khazarai/Q... | text-generation | 2026-04-11T19:56:44Z | # khazarai/Qwen3-4B-Qwen3.6-plus-Reasoning-Slerp
*Note: The sharp drop in "Creative Writing" is an expected and accepted trade-off to maximize extreme logical reasoning and coding precision.*
This model is a highly experimental and optimized re... | [
{
"start": 539,
"end": 543,
"text": "Qwen",
"label": "benchmark name",
"score": 0.7642706036567688
},
{
"start": 811,
"end": 815,
"text": "Qwen",
"label": "benchmark name",
"score": 0.7472569346427917
},
{
"start": 1098,
"end": 1102,
"text": "Qwen",
"l... |
unsloth/c4ai-command-a-03-2025-GGUF | unsloth | 2025-03-14T09:35:28Z | 161 | 12 | transformers | [
"transformers",
"gguf",
"cohere2",
"text-generation",
"en",
"fr",
"de",
"es",
"it",
"pt",
"ja",
"ko",
"zh",
"ar",
"el",
"fa",
"pl",
"id",
"cs",
"he",
"hi",
"nl",
"ro",
"ru",
"tr",
"uk",
"vi",
"base_model:CohereLabs/c4ai-command-a-03-2025",
"base_model:quantize... | text-generation | 2025-03-14T06:16:10Z | # **Model Card for C4AI Command A**
## **Model Summary**
C4AI Command A is an open weights research release of a 111 billion parameter model optimized for demanding enterprises that require fast, secure, and high-quality AI. Compared to other leading proprietary and open-weights models Command A delivers maximum perf... | [] |
deucebucket/Qwen3-32B-Cerebellum-GGUF | deucebucket | 2026-05-02T21:28:35Z | 225 | 1 | null | [
"gguf",
"quantized",
"cerebellum",
"ablation-guided",
"base_model:Qwen/Qwen3-32B",
"base_model:quantized:Qwen/Qwen3-32B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-05-02T21:25:25Z | # Qwen3-32B — Cerebellum GGUF
Ablation-guided mixed-precision quantization of [Qwen/Qwen3-32B](https://huggingface.co/Qwen/Qwen3-32B). 32B parameters, dense architecture with GQA (64 heads, 8 KV heads), 64 layers.
## What is Cerebellum?
Instead of uniform quantization, we measure which weight groups survive aggressi... | [
{
"start": 2,
"end": 11,
"text": "Qwen3-32B",
"label": "benchmark name",
"score": 0.9329866766929626
},
{
"start": 14,
"end": 24,
"text": "Cerebellum",
"label": "benchmark name",
"score": 0.6081502437591553
},
{
"start": 85,
"end": 94,
"text": "Qwen3-32B",... |
HuggingFaceTB/SmolVLM2-256M-Video-Instruct | HuggingFaceTB | 2025-04-08T07:25:59Z | 136,603 | 100 | transformers | [
"transformers",
"onnx",
"safetensors",
"smolvlm",
"image-text-to-text",
"conversational",
"en",
"dataset:HuggingFaceM4/the_cauldron",
"dataset:HuggingFaceM4/Docmatix",
"dataset:lmms-lab/LLaVA-OneVision-Data",
"dataset:lmms-lab/M4-Instruct-Data",
"dataset:HuggingFaceFV/finevideo",
"dataset:MA... | image-text-to-text | 2025-02-11T07:06:01Z | <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/SmolVLM2_banner.png" width="800" height="auto" alt="Image description">
# SmolVLM2-256M-Video
SmolVLM2-256M-Video is a lightweight multimodal model designed to analyze video content. The model processes videos, images, and text in... | [] |
OpceanAI/Yuuki-NxG | OpceanAI | 2026-03-28T01:04:28Z | 250 | 1 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversation",
"pytorch",
"companion",
"personality",
"fine-tuned",
"conversational",
"en",
"es",
"dataset:OpceanAI/Yuuki-dataset",
"dataset:bigcode/the-stack",
"dataset:a-m-team/AM-DeepSeek-R1-Distilled-1.4M",
"dataset:Opcean... | text-generation | 2026-02-23T23:13:15Z | <div align="center">
<br>
<img src="https://img.shields.io/badge/%E2%9C%A6-YUUKI--NxG-0D1117?style=for-the-badge&labelColor=0D1117" alt="Yuuki NxG" height="50">
<br><br>
# A 3B Companion Model Fine-Tuned on a Mac Pro
**Personality-aligned language model trained with zero cloud compute budget.**<br>
**Qwen2.5 archi... | [] |
mradermacher/MAGIC-Qwen2.5-14B-Instruct-i1-GGUF | mradermacher | 2026-02-04T06:45:00Z | 152 | 1 | transformers | [
"transformers",
"gguf",
"safety",
"alignment",
"adversarial-training",
"red-teaming",
"defense",
"large-language-model",
"llm-safety",
"huggingface",
"en",
"base_model:XiaoyuWen/MAGIC-Qwen2.5-14B-Instruct",
"base_model:quantized:XiaoyuWen/MAGIC-Qwen2.5-14B-Instruct",
"license:apache-2.0",
... | null | 2026-02-04T01:16:25Z | ## 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_... | [] |
webbigdata/gemma-2-2b-jpn-it-translate | webbigdata | 2024-10-22T08:17:12Z | 164 | 9 | null | [
"safetensors",
"gemma2",
"translation",
"ja",
"en",
"base_model:google/gemma-2-2b-jpn-it",
"base_model:finetune:google/gemma-2-2b-jpn-it",
"region:us"
] | translation | 2024-10-07T13:15:57Z | # Model Card for gemma-2-2b-jpn-it-translate
gemma-2-2b-jpn-it-translateは、googleが公開してくれた[google/gemma-2-2b-jpn-it](https://huggingface.co/google/gemma-2-2b-jpn-it)を翻訳タスク用にチューニングしたモデルです
gemma-2-2b-jpn-it-translate is a model tuned for translation tasks based on [google/gemma-2-2b-jpn-it](https://huggingface.co/google... | [] |
distil-whisper/distil-small.en | distil-whisper | 2024-03-25T12:09:13Z | 73,144 | 113 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"onnx",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"transformers.js",
"en",
"arxiv:2311.00430",
"arxiv:2210.13352",
"license:mit",
"region:us"
] | automatic-speech-recognition | 2023-12-06T11:35:48Z | # Distil-Whisper: distil-small.en
Distil-Whisper was proposed in the paper [Robust Knowledge Distillation via Large-Scale Pseudo Labelling](https://arxiv.org/abs/2311.00430).
It is a distilled version of the Whisper model that is **6 times faster**, 49% smaller, and performs **within 1% WER**
on out-of-distribution e... | [
{
"start": 289,
"end": 292,
"text": "WER",
"label": "evaluation metric",
"score": 0.7707072496414185
},
{
"start": 892,
"end": 895,
"text": "WER",
"label": "evaluation metric",
"score": 0.7702356576919556
},
{
"start": 1026,
"end": 1029,
"text": "WER",
... |
naver-hyperclovax/HyperCLOVAX-SEED-Omni-8B | naver-hyperclovax | 2026-01-06T02:51:36Z | 303,173 | 183 | transformers | [
"transformers",
"diffusers",
"safetensors",
"vlm",
"text-generation",
"conversational",
"custom_code",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-23T14:12:04Z | 
# Overview
HyperCLOVA X SEED 8B Omni is a unified multimodal model that brings text, vision, and speech together, based on an auto-regressive Transformer architecture, enabling consistent multimodal under... | [
{
"start": 1685,
"end": 1697,
"text": "Fleurs en2ko",
"label": "benchmark name",
"score": 0.6127889752388
},
{
"start": 1699,
"end": 1711,
"text": "Fleurs ko2en",
"label": "benchmark name",
"score": 0.6343178749084473
}
] |
mradermacher/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated-GGUF | mradermacher | 2026-03-16T12:42:29Z | 5,361 | 1 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"Claude",
"reasoning",
"chain-of-thought",
"Dense",
"en",
"base_model:huihui-ai/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated",
"license:apache-2.0",
"endpoint... | null | 2026-03-16T12:20:40Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
RedHatAI/NVIDIA-Nemotron-Nano-9B-v2-quantized.w4a16 | RedHatAI | 2026-04-28T22:25:27Z | 2,460 | 5 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"nvidia",
"pytorch",
"int4",
"quantized",
"llm-compressor",
"compressed-tensors",
"red hat",
"conversational",
"custom_code",
"en",
"es",
"fr",
"de",
"it",
"ja",
"arxiv:2210.17323",
"license:other",
"endpoints_... | text-generation | 2025-10-22T07:48:00Z | <h1 align: center; style="display: flex; align-items: center; gap: 10px; margin: 0;">
NVIDIA-Nemotron-Nano-9B-v2-quantized.w4a16
<img src="https://www.redhat.com/rhdc/managed-files/Catalog-Validated_model_0.png" alt="Model Icon" width="40" style="margin: 0; padding: 0;" />
</h1>
<a href="https://www.redhat.com/e... | [] |
charactr/vocos-mel-24khz | charactr | 2023-10-17T14:08:53Z | 1,579,041 | 41 | null | [
"pytorch",
"arxiv:2306.00814",
"license:mit",
"region:us"
] | null | 2023-06-11T16:38:37Z | # Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis
[Audio samples](https://charactr-platform.github.io/vocos/) |
Paper [[abs]](https://arxiv.org/abs/2306.00814) [[pdf]](https://arxiv.org/pdf/2306.00814.pdf)
Vocos is a fast neural vocoder designed to synthes... | [] |
mradermacher/GemmaTranslate-v3-12B-GGUF | mradermacher | 2026-03-14T15:46:27Z | 570 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"translation",
"multimodal",
"gemma-3",
"en",
"base_model:SpongeBOB9684/GemmaTranslate-v3-12B",
"base_model:quantized:SpongeBOB9684/GemmaTranslate-v3-12B",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | translation | 2026-03-14T14:33:11Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
BinhQuocNguyen/food-recognition-model | BinhQuocNguyen | 2025-09-13T18:45:04Z | 182 | 13 | null | [
"food_recognition",
"food-recognition",
"computer-vision",
"calorie-estimation",
"efficientnet",
"nutrition",
"health",
"image-classification",
"license:mit",
"region:us"
] | image-classification | 2025-09-13T15:40:42Z | # Food Recognition and Calorie Estimation Model
A comprehensive deep learning system for food recognition, object detection, and calorie estimation using TensorFlow, YOLO, and EfficientNet.
## Model Description
This model combines multiple deep learning approaches to provide accurate food recognition and calorie est... | [] |
mradermacher/roleplay-no-system-i1-GGUF | mradermacher | 2025-12-28T20:17:43Z | 323 | 1 | transformers | [
"transformers",
"gguf",
"base_model:adapter:mistralai/Mistral-Nemo-Instruct-2407",
"lora",
"sft",
"trl",
"en",
"base_model:thanhhau097/roleplay-no-system",
"base_model:adapter:thanhhau097/roleplay-no-system",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-04T21:34:48Z | ## 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_K... | [] |
TIGER-Lab/EditReward-MiMo-VL-7B-SFT-2508 | TIGER-Lab | 2025-12-23T06:52:58Z | 540 | 1 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"editing",
"reward",
"image-to-text",
"en",
"dataset:TIGER-Lab/EditReward-Data",
"arxiv:2509.26346",
"base_model:XiaomiMiMo/MiMo-VL-7B-SFT-2508",
"base_model:finetune:XiaomiMiMo/MiMo-VL-7B-SFT-2508",
"license:apache-2.0",
"... | image-to-text | 2025-10-06T12:56:35Z | <p align="center" width="100%">
<img src="https://github.com/TIGER-AI-Lab/EditReward/raw/main/assets/logo.png" width="50%">
</p>
<div align="center">
# EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
[](https... | [] |
unsloth/Mistral-Small-4-119B-2603-GGUF | unsloth | 2026-04-20T03:50:21Z | 30,579 | 61 | null | [
"gguf",
"vLLM",
"unsloth",
"ar",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"ja",
"ko",
"zh",
"base_model:mistralai/Mistral-Small-4-119B-2603",
"base_model:quantized:mistralai/Mistral-Small-4-119B-2603",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"co... | null | 2026-03-17T01:11:01Z | > [!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>
... | [] |
vpyn/Qwen3.5-397B-A17B-CARVE-v1-NVFP4 | vpyn | 2026-03-03T18:58:13Z | 921 | 6 | null | [
"safetensors",
"qwen3_5_moe",
"modelopt",
"region:us"
] | null | 2026-03-01T18:23:43Z | Unlocked version of Qwen/Qwen3.5-397B-A17B
## Benchmark Results
### Capability Benchmarks (thinking=false)
| Benchmark | CARVE NVFP4 (es=0.75) | Reference NVFP4 (nvidia) |
|-----------|----------------------|-------------------------|
| MMLU 54 (temp=0.6) | **94.4%** (51/54... | [
{
"start": 179,
"end": 186,
"text": "es=0.75",
"label": "evaluation metric",
"score": 0.7120100259780884
},
{
"start": 190,
"end": 205,
"text": "Reference NVFP4",
"label": "benchmark name",
"score": 0.8030850291252136
},
{
"start": 818,
"end": 825,
"text":... |
mradermacher/GPT-5-Distill-Qwen3-4B-Instruct-Heretic-i1-GGUF | mradermacher | 2025-12-12T08:31:10Z | 190 | 1 | transformers | [
"transformers",
"gguf",
"GPT-5",
"Distill",
"Qwen3",
"4B",
"Instruct",
"Heretic",
"Uncensored",
"Abliterated",
"en",
"zh",
"dataset:Jackrong/ShareGPT-Qwen3-235B-A22B-Instuct-2507",
"base_model:ChiKoi7/GPT-5-Distill-Qwen3-4B-Instruct-Heretic",
"base_model:quantized:ChiKoi7/GPT-5-Distill-Q... | null | 2025-12-12T07:48:24Z | ## 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_... | [] |
amphion/MaskGCT | amphion | 2025-04-13T06:09:22Z | 700 | 307 | null | [
"safetensors",
"text-to-speech",
"en",
"zh",
"ko",
"ja",
"fr",
"de",
"dataset:amphion/Emilia-Dataset",
"arxiv:2409.00750",
"base_model:amphion/MaskGCT",
"base_model:finetune:amphion/MaskGCT",
"license:cc-by-nc-4.0",
"region:us"
] | text-to-speech | 2024-10-13T16:42:07Z | ## MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer
[](https://arxiv.org/abs/2409.00750) [](https://huggingface.co/amphion/maskgct) [![hf](https://img.shields... | [] |
lmstudio-community/LFM2-24B-A2B-MLX-5bit | lmstudio-community | 2026-02-23T20:12:24Z | 534,272 | 1 | transformers | [
"transformers",
"safetensors",
"lfm2_moe",
"text-generation",
"liquid",
"lfm2",
"edge",
"mlx",
"conversational",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"pt",
"base_model:LiquidAI/LFM2-24B-A2B",
"base_model:quantized:LiquidAI/LFM2-24B-A2B",
"license:other",
"endpoin... | text-generation | 2026-02-23T20:10:44Z | ## 💫 Community Model> LFM2-24B-A2B by LiquidAI
_👾 [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**: [LiquidAI](https://huggingface.co/LiquidAI)<br>
**Orig... | [] |
unsloth/Qwen3.5-122B-A10B | unsloth | 2026-03-04T02:38:40Z | 4,433 | 6 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"unsloth",
"conversational",
"base_model:Qwen/Qwen3.5-122B-A10B",
"base_model:finetune:Qwen/Qwen3.5-122B-A10B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-02-24T14:53:53Z | # Qwen3.5-122B-A10B
<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-train... | [] |
nvidia/OpenCodeReasoning-Nemotron-7B | nvidia | 2025-05-07T19:39:14Z | 289 | 40 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"nvidia",
"code",
"conversational",
"en",
"dataset:nvidia/OpenCodeReasoning",
"arxiv:2504.01943",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Instruct",
"license:apache-2.0",
"text-generation-inferen... | text-generation | 2025-04-15T01:02:36Z | # OpenCodeReasoning-Nemotron-7B Overview
## Description: <br>
OpenCodeReasoning-Nemotron-7B is a large language model (LLM) which is a derivative of Qwen2.5-7B-Instruct (AKA the reference model). It is a reasoning model that is post-trained for reasoning for code generation. The model supports a context length of 32K ... | [
{
"start": 604,
"end": 621,
"text": "LiveCodeBench Avg",
"label": "evaluation metric",
"score": 0.9069567322731018
}
] |
facebook/m2m100_418M | facebook | 2024-02-29T09:08:42Z | 404,957 | 339 | transformers | [
"transformers",
"pytorch",
"rust",
"m2m_100",
"text2text-generation",
"multilingual",
"af",
"am",
"ar",
"ast",
"az",
"ba",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"ceb",
"cs",
"cy",
"da",
"de",
"el",
"en",
"es",
"et",
"fa",
"ff",
"fi",
"fr",
"fy",
"ga",
... | null | 2022-03-02T23:29:05Z | # M2M100 418M
M2M100 is a multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation.
It was introduced in this [paper](https://arxiv.org/abs/2010.11125) and first released in [this](https://github.com/pytorch/fairseq/tree/master/examples/m2m_100) repository.
The model that can ... | [] |
TinmanLabSL/SmolOmni-MLA-500M | TinmanLabSL | 2026-04-26T23:18:56Z | 141 | 1 | transformers | [
"transformers",
"mla-attention",
"multi-head-latent-attention",
"flow-matching",
"rectified-flow",
"on-device",
"efficient-attention",
"smol-scale",
"research",
"proof-of-concept",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-04-24T23:15:31Z | # ⚠️ Research Proof of Concept — NOT Production Ready
**586M-parameter unified multimodal model. Validated architecture with Multi-Head Latent Attention (MLA). Low-quality image generation. No native ASR. Use Moonshine (included in Toolkit) for audio understanding.**
## What Actually Works
| Component | Status | Evi... | [] |
obadx/recitation-segmenter-v2 | obadx | 2025-09-03T19:49:25Z | 1,944 | 2 | transformers | [
"transformers",
"safetensors",
"wav2vec2-bert",
"audio-frame-classification",
"generated_from_trainer",
"arabic",
"quran",
"speech-segmentation",
"automatic-speech-recognition",
"ar",
"arxiv:2509.00094",
"base_model:facebook/w2v-bert-2.0",
"base_model:finetune:facebook/w2v-bert-2.0",
"lice... | automatic-speech-recognition | 2025-04-20T21:03:02Z | # recitation-segmenter-v2: Quranic Recitation Segmenter
This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) for segmenting Holy Quran recitations based on pause points (waqf). It was presented in the paper [Automatic Pronunciation Error Detection and Correction o... | [] |
Ateeqq/skin-disease-prediction-exp-v1 | Ateeqq | 2025-10-12T11:04:39Z | 9,126 | 2 | null | [
"safetensors",
"siglip",
"license:mit",
"region:us"
] | null | 2025-10-11T19:24:30Z | # Skin Disease Prediction Experimental
## 🚀 Usage Example
```python
import torch
from transformers import AutoImageProcessor, SiglipForImageClassification
from PIL import Image
import torch.nn.functional as F
model_path = "Ateeqq/skin-disease-prediction-exp-v1"
processor = AutoImageProcessor.from_pretrained(model_... | [
{
"start": 740,
"end": 757,
"text": "confidence_scores",
"label": "evaluation metric",
"score": 0.6083769202232361
}
] |
arcee-ai/SuperNova-Medius | arcee-ai | 2024-10-28T19:24:03Z | 101 | 219 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Qwen/Qwen2.5-14B",
"base_model:finetune:Qwen/Qwen2.5-14B",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-10-02T06:50:01Z | # Arcee-SuperNova-Medius
Arcee-SuperNova-Medius is a 14B parameter language model developed by Arcee.ai, built on the Qwen2.5-14B-Instruct architecture. This unique model is the result of a cross-architecture distillation pipeline, combining knowledge from both the Qwen2.5-72B-Instruct model and the Llama-3.1-405B-Ins... | [] |
TomoroAI/tomoro-ai-colqwen3-embed-4b-awq | TomoroAI | 2025-12-16T03:54:01Z | 2,424 | 6 | transformers | [
"transformers",
"safetensors",
"colqwen3",
"feature-extraction",
"text",
"image",
"video",
"multimodal-embedding",
"vidore",
"colpali",
"multilingual-embedding",
"quantized",
"awq",
"autoround",
"w4a16",
"visual-document-retrieval",
"custom_code",
"multilingual",
"arxiv:2407.0144... | visual-document-retrieval | 2025-12-15T06:46:24Z | # TomoroAI/tomoro-ai-colqwen3-embed-4b-awq
## Overview
This is a **W4A16 quantized** version of [TomoroAI/tomoro-colqwen3-embed-4b](https://huggingface.co/TomoroAI/tomoro-colqwen3-embed-4b), a state-of-the-art [ColPali](https://arxiv.org/abs/2407.01449)-style multimodal embedding model. The quantization was performed... | [] |
EleutherAI/pythia-6.9b | EleutherAI | 2025-03-10T18:30:39Z | 140,047 | 60 | transformers | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"en",
"dataset:EleutherAI/pile",
"arxiv:2304.01373",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"reg... | text-generation | 2023-02-14T04:18:48Z | The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research [(see paper)](https://arxiv.org/pdf/2304.01373.pdf).
It contains two sets of eight models of sizes
70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. For each size, there are two
models: one trained on the Pile, and ... | [
{
"start": 5,
"end": 11,
"text": "Pythia",
"label": "benchmark name",
"score": 0.8544356822967529
},
{
"start": 573,
"end": 579,
"text": "Pythia",
"label": "benchmark name",
"score": 0.8413132429122925
},
{
"start": 1099,
"end": 1105,
"text": "Pythia",
... |
codefuse-ai/F2LLM-0.6B | codefuse-ai | 2025-12-21T05:59:13Z | 694 | 13 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3",
"feature-extraction",
"transformers",
"en",
"dataset:codefuse-ai/F2LLM",
"arxiv:2510.02294",
"base_model:Qwen/Qwen3-0.6B",
"base_model:finetune:Qwen/Qwen3-0.6B",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"reg... | feature-extraction | 2025-09-18T04:18:13Z | # F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
This repository contains the F2LLM-0.6B model presented in the paper [F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data](https://huggingface.co/papers/2510.02294).
F2LLMs (Foundation... | [] |
arcee-ai/Llama-3.1-SuperNova-Lite | arcee-ai | 2025-01-17T13:49:05Z | 1,489 | 198 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"dataset:arcee-ai/EvolKit-20k",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:finetune:meta-llama/Llama-3.1-8B-Instruct",
"license:llama3",
"model-index",
"text-generation-inference",
"endpoints_c... | text-generation | 2024-09-10T14:56:49Z | <!--
<div align="center">
<img src="https://i.ibb.co/r072p7j/eopi-ZVu-SQ0-G-Cav78-Byq-Tg.png" alt="Llama-3.1-SuperNova-Lite" style="border-radius: 10px; box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19); max-width: 100%; height: auto;">
</div>
-->
## Overview
Llama-3.1-SuperNova-Lite is an... | [
{
"start": 101,
"end": 125,
"text": "Llama-3.1-SuperNova-Lite",
"label": "benchmark name",
"score": 0.8916960954666138
},
{
"start": 290,
"end": 314,
"text": "Llama-3.1-SuperNova-Lite",
"label": "benchmark name",
"score": 0.917154848575592
},
{
"start": 376,
"... |
mradermacher/GLM-4.7-Flash-REAP-23B-A3B-absolute-heresy-i1-GGUF | mradermacher | 2026-02-10T12:10:28Z | 1,017 | 4 | transformers | [
"transformers",
"gguf",
"glm",
"MOE",
"pruning",
"compression",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:MuXodious/GLM-4.7-Flash-REAP-23B-A3B-absolute-heresy",
"base_model:quantized:MuXodious/GLM-4.7-Flash-REAP-23B-A3B-absolute-heresy",
"license:mit",
"endp... | null | 2026-02-09T13:26:07Z | ## 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_... | [
{
"start": 644,
"end": 694,
"text": "GLM-4.7-Flash-REAP-23B-A3B-absolute-heresy-i1-GGUF",
"label": "benchmark name",
"score": 0.6502190828323364
}
] |
QuantFactory/OpenCoder-8B-Base-GGUF | QuantFactory | 2024-11-09T11:30:27Z | 548 | 4 | transformers | [
"transformers",
"gguf",
"text-generation",
"en",
"zh",
"arxiv:2411.04905",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-11-09T10:53:17Z | ---
license: other
license_name: inf
license_link: https://huggingface.co/infly/OpenCoder-8B-Base/blob/main/LICENSE
language:
- en
- zh
pipeline_tag: text-generation
library_name: transformers
---
[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuV... | [] |
mradermacher/Qwen3.5-35B-A3B-heretic-v2-GGUF | mradermacher | 2026-04-15T00:43:03Z | 11,695 | 5 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:llmfan46/Qwen3.5-35B-A3B-ultra-uncensored-heretic",
"base_model:quantized:llmfan46/Qwen3.5-35B-A3B-ultra-uncensored-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversati... | null | 2026-03-04T16:27:41Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
boun-tabilab/TabiBERT | boun-tabilab | 2026-01-05T10:14:02Z | 17,753 | 26 | transformers | [
"transformers",
"safetensors",
"modernbert",
"fill-mask",
"masked-lm",
"long-context",
"turkish",
"code",
"mathematics",
"tr",
"en",
"dataset:HuggingFaceFW/fineweb-2",
"dataset:selimfirat/bilkent-turkish-writings-dataset",
"arxiv:2512.23065",
"license:apache-2.0",
"region:us"
] | fill-mask | 2025-03-29T17:56:05Z | # TabiBERT
[](https://arxiv.org/abs/2512.23065)
[](https://github.com/boun-tabi-LMG/Tabibert)
[](https://www.... | [
{
"start": 2,
"end": 10,
"text": "TabiBERT",
"label": "benchmark name",
"score": 0.8152285218238831
},
{
"start": 592,
"end": 600,
"text": "TabiBERT",
"label": "benchmark name",
"score": 0.7007427215576172
},
{
"start": 728,
"end": 736,
"text": "TabiBERT",... |
LiquidAI/LFM2-Audio-1.5B-GGUF | LiquidAI | 2025-12-05T17:50:52Z | 1,127 | 29 | null | [
"gguf",
"audio",
"liquid",
"lfm2",
"edge",
"llama.cpp",
"base_model:LiquidAI/LFM2-Audio-1.5B",
"base_model:quantized:LiquidAI/LFM2-Audio-1.5B",
"license:other",
"region:us"
] | null | 2025-09-30T12:41:36Z | <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>
<... | [] |
nvidia/Qwen3-235B-A22B-Instruct-2507-NVFP4 | nvidia | 2026-01-30T22:05:18Z | 4,476 | 6 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"qwen3_moe",
"nvidia",
"ModelOpt",
"Qwen3",
"quantized",
"NVFP4",
"nvfp4",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3-235B-A22B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-235B-A22B-Instruct-2507",
"license:apache-2.0",
"8-bit",
"... | text-generation | 2025-12-30T23:06:33Z | # Model Overview
## Description:
The NVIDIA Qwen3-235B-A22B-Instruct-2507 NVFP4 model is the quantized version of Alibaba's Qwen3-235B-A22B-Instruct-2507 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/Q... | [] |
bartowski/janhq_Jan-code-4b-GGUF | bartowski | 2026-03-03T04:06:54Z | 2,202 | 1 | null | [
"gguf",
"agent",
"text-generation",
"en",
"base_model:janhq/Jan-code-4b",
"base_model:quantized:janhq/Jan-code-4b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-03-02T23:20:06Z | ## Llamacpp imatrix Quantizations of Jan-code-4b by janhq
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/b8184">b8184</a> for quantization.
Original model: https://huggingface.co/janhq/Jan-code-4b
All quants made using imatrix ... | [] |
nvidia/multilingual-domain-classifier | nvidia | 2025-09-22T20:56:52Z | 7,967 | 23 | null | [
"safetensors",
"deberta-v2",
"model_hub_mixin",
"pytorch_model_hub_mixin",
"arxiv:2111.09543",
"license:other",
"region:us"
] | null | 2024-12-02T18:29:34Z | # NemoCurator Multilingual Domain Classifier
# Model Overview
This is a multilingual text classification model that can enable data annotation, creation of domain-specific blends and the addition of metadata tags. The model classifies documents into one of 26 domain classes:
```
'Adult', 'Arts_and_Entertainment', 'Au... | [] |
mradermacher/Qwen3-Coder-30B-A3B-Instruct-Heretic-i1-GGUF | mradermacher | 2026-02-03T23:49:26Z | 393 | 2 | transformers | [
"transformers",
"gguf",
"abliteration",
"heretic",
"uncensored",
"en",
"base_model:dpankros/Qwen3-Coder-30B-A3B-Instruct-Heretic",
"base_model:quantized:dpankros/Qwen3-Coder-30B-A3B-Instruct-Heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-31T07:18:58Z | ## 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_... | [] |
InstantX/SD3.5-Large-IP-Adapter | InstantX | 2024-12-06T07:16:46Z | 5,777 | 118 | diffusers | [
"diffusers",
"Text-to-Image",
"IP-Adapter",
"StableDiffusion3Pipeline",
"image-generation",
"Stable Diffusion",
"text-to-image",
"en",
"base_model:stabilityai/stable-diffusion-3.5-large",
"base_model:finetune:stabilityai/stable-diffusion-3.5-large",
"license:other",
"region:us"
] | text-to-image | 2024-11-07T03:56:20Z | # SD3.5-Large-IP-Adapter
This repository contains a IP-Adapter for SD3.5-Large model released by researchers from [InstantX Team](https://huggingface.co/InstantX), where image work just like text, so it may not be responsive or interfere with other text, but we do hope you enjoy this model, have fun and share your cre... | [] |
mradermacher/Qwen3-4B-Instruct-2507-heretic-v4-GGUF | mradermacher | 2026-02-15T09:40:27Z | 526 | 4 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:p-e-w/Qwen3-4B-Instruct-2507-heretic-v4",
"base_model:quantized:p-e-w/Qwen3-4B-Instruct-2507-heretic-v4",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-14T22:27:56Z | ## 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... | [] |
drzo/unicosys-hypergraph | drzo | 2026-05-04T03:22:28Z | 864 | 2 | transformers | [
"transformers",
"safetensors",
"unicosys_hypergraph",
"knowledge-graph",
"hypergraph",
"legal-evidence",
"graph-neural-network",
"unicosys",
"graph-ml",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | graph-ml | 2026-03-14T22:56:15Z | # Unicosys Hypergraph Knowledge Model
A trainable knowledge graph embedding model encoding the unified evidence
hypergraph for Case 2025-137857.
## Model Description
This model encodes a **unified hypergraph** linking financial transactions,
email communications, legal evidence, and entity relationships into a
singl... | [] |
IQuestLab/IQuest-Coder-V1-40B-Instruct | IQuestLab | 2026-03-04T12:15:39Z | 11,633 | 288 | transformers | [
"transformers",
"safetensors",
"iquestcoder",
"text-generation",
"conversational",
"custom_code",
"en",
"arxiv:2512.13472",
"arxiv:2512.23611",
"arxiv:2512.22087",
"license:other",
"region:us"
] | text-generation | 2025-12-30T15:30:10Z | 
<p align="center">
📘 <a href="https://iquestlab.github.io">Blog</a >
•
📄 <a href="https://github.com/IQuestLab/IQuest-Coder-V1/blob/main/papers/IQuest_Coder_Technical_Report.pdf">Technical Report</a >
</p >
# IQuest-Coder-V1 Model Family
| ... | [
{
"start": 1341,
"end": 1369,
"text": "State-of-the-Art Performance",
"label": "evaluation metric",
"score": 0.6869092583656311
},
{
"start": 1401,
"end": 1419,
"text": "SWE-Bench Verified",
"label": "benchmark name",
"score": 0.7119714617729187
},
{
"start": 1429... |
ArliAI/GLM-4.5-Air-Derestricted | ArliAI | 2025-12-01T05:57:53Z | 168 | 97 | transformers | [
"transformers",
"safetensors",
"glm4_moe",
"text-generation",
"abliterated",
"derestricted",
"glm-4.5-air",
"unlimited",
"uncensored",
"conversational",
"arxiv:2508.06471",
"base_model:zai-org/GLM-4.5-Air",
"base_model:finetune:zai-org/GLM-4.5-Air",
"license:mit",
"endpoints_compatible",... | text-generation | 2025-11-24T09:38:07Z | <div align="left">
<img src=https://cdn-uploads.huggingface.co/production/uploads/6625f4a8a8d1362ebcc3851a/iyzgR89q50pp1T8HeeP15.png width="5%"/>
</div>
# Arli AI
# GLM-4.5-Air-Derestricted
<div align="center">
<img src=https://cdn-uploads.huggingface.co/production/uploads/6625f4a8a8d1362ebcc3851a/XhCz9N4liIwWEh-yH3... | [] |
dahus/gemma-4-e2b-it-Q8_0-GGUF | dahus | 2026-04-23T13:12:53Z | 911 | 1 | gguf | [
"gguf",
"gemma",
"gemma4",
"gemma-4",
"llama-cpp",
"q8",
"quantized",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-04-07T12:01:47Z | # Gemma 4 E2B it — Q8 GGUF
8-bit quantized GGUF version of [google/gemma-4-e2b-it](https://huggingface.co/google/gemma-4-e2b-it).
**Highest quality quantization** — 96% Top-1 agreement with F16, effectively lossless.
> **Other quantizations in this series:**
> [Q2_K](https://huggingface.co/dahus/gemma-4-e2b-it-Q2... | [
{
"start": 1206,
"end": 1210,
"text": "SQNR",
"label": "evaluation metric",
"score": 0.6912392973899841
},
{
"start": 1213,
"end": 1228,
"text": "Top-1 Agreement",
"label": "evaluation metric",
"score": 0.7486933469772339
},
{
"start": 1231,
"end": 1244,
"... |
Dxniz/NaNovel-9B | Dxniz | 2026-03-13T14:36:18Z | 145 | 2 | null | [
"safetensors",
"qwen3_5",
"creative-writing",
"novelist",
"qwen3.5",
"fine-tuned",
"nanovel",
"chain-of-thought",
"text-generation",
"conversational",
"en",
"dataset:Dxniz/Novelist-CoT",
"base_model:Qwen/Qwen3.5-9B",
"base_model:finetune:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"region:... | text-generation | 2026-03-12T09:19:29Z | # NaNovel-9B
NaNovel-9B is the smallest autoregressive release in the Novelist lineup. It is built for users who want the Novelist writing style, structured prewriting, and reliable creative task handling in a size that is easier to run than the larger series models.
## Novelist Series
- Base models: [Qwen3.5-9B](ht... | [
{
"start": 1442,
"end": 1462,
"text": "Dxniz/Novelist-Bench",
"label": "benchmark name",
"score": 0.8993651270866394
}
] |
mradermacher/Qwen3.5-0.8B-heretic-i1-GGUF | mradermacher | 2026-03-03T10:28:32Z | 5,716 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:C10X/Qwen3.5-0.8B-heretic",
"base_model:quantized:C10X/Qwen3.5-0.8B-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-03T10:22:06Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 461,
"end": 481,
"text": "Qwen3.5-0.8B-heretic",
"label": "benchmark name",
"score": 0.642175018787384
},
{
"start": 618,
"end": 646,
"text": "Qwen3.5-0.8B-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.7871072888374329
},
{
"start": 720,
"... |
AshkanTaghipour/GeoLLM-Qwen3.5-4B | AshkanTaghipour | 2026-03-16T01:56:18Z | 248 | 1 | null | [
"safetensors",
"qwen3_5",
"geology",
"mineral-exploration",
"qwen3.5",
"lora",
"fine-tuned",
"geoscience",
"text-generation",
"conversational",
"en",
"dataset:AshkanTaghipour/mineral-exploration-geology-qa",
"base_model:Qwen/Qwen3.5-4B",
"base_model:adapter:Qwen/Qwen3.5-4B",
"license:apa... | text-generation | 2026-03-16T01:43:22Z | # GeoLLM-Qwen3.5-4B
Fine-tuned **Qwen3.5-4B** for mineral exploration geology, targeting the Western Australian geological domain.
This model is part of the [GeoLLM-Qwen3.5-FineTune](https://github.com/AshkanTaghipour/GeoLLM-Qwen3.5-FineTune) benchmark. All five model sizes (0.8B--27B) were trained with identical hyp... | [
{
"start": 2,
"end": 19,
"text": "GeoLLM-Qwen3.5-4B",
"label": "benchmark name",
"score": 0.8874548077583313
},
{
"start": 160,
"end": 183,
"text": "GeoLLM-Qwen3.5-FineTune",
"label": "benchmark name",
"score": 0.8142101168632507
},
{
"start": 220,
"end": 243,... |
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