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 |
|---|---|---|---|---|---|---|---|---|---|---|
pranav-s/MaterialsBERT | pranav-s | 2023-04-10T00:40:31Z | 278 | 19 | transformers | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"feature-extraction",
"materials",
"en",
"arxiv:2007.15779",
"license:other",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | feature-extraction | 2023-01-04T13:26:07Z | # MaterialsBERT
This model is a fine-tuned version of [PubMedBERT model](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on a dataset of 2.4 million materials science abstracts.
It was introduced in [this](https://www.nature.com/articles/s41524-023-01003-w) paper. This model is un... | [] |
FunAudioLLM/CosyVoice-300M-SFT | FunAudioLLM | 2025-12-17T04:41:28Z | 386 | 4 | null | [
"onnx",
"zh",
"en",
"fr",
"es",
"ja",
"ko",
"it",
"ru",
"de",
"arxiv:2505.17589",
"arxiv:2412.10117",
"arxiv:2407.05407",
"license:apache-2.0",
"region:us"
] | null | 2025-07-31T07:38:06Z | 
## 👉🏻 CosyVoice 👈🏻
**Fun-CosyVoice 3.0**: [Demos](https://funaudiollm.github.io/cosyvoice3/); [Paper](https://arxiv.org/abs/2505.17589); [Modelscope](https://w... | [] |
IQuestLab/IQuest-Coder-V1-7B-Thinking | IQuestLab | 2026-03-04T12:43:29Z | 169 | 8 | 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 | 2025-12-30T15:29:40Z | 
<p align="center">
📘 <a href="https://iquestlab.github.io">Blog (2026-01-01)</a >
•
📘 <a href="https://iquestlab.github.io/release-1.0-2603/index.html">Blog (2026-03-02)</a >
•
📄 <a href="https://github.com/IQuestLab/IQuest-C... | [] |
OpenMed/OpenMed-PII-ModernMed-Large-395M-v1 | OpenMed | 2026-01-13T19:59:03Z | 10,751 | 2 | transformers | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"ner",
"pii",
"pii-detection",
"de-identification",
"privacy",
"healthcare",
"medical",
"clinical",
"phi",
"hipaa",
"pytorch",
"openmed",
"en",
"dataset:nvidia/Nemotron-PII",
"base_model:answerdotai/ModernBERT-l... | token-classification | 2026-01-13T19:58:35Z | # OpenMed-PII-ModernMed-Large-395M-v1
**PII Detection Model** | 395M Parameters | Open Source
[]() []() []()
## Model Descri... | [
{
"start": 169,
"end": 178,
"text": "Precision",
"label": "evaluation metric",
"score": 0.6930161118507385
},
{
"start": 209,
"end": 221,
"text": "Precision-96",
"label": "evaluation metric",
"score": 0.6090279221534729
},
{
"start": 1202,
"end": 1211,
"te... |
Mungert/Orchestrator-8B-GGUF | Mungert | 2025-12-05T02:31:31Z | 421 | 2 | transformers | [
"transformers",
"gguf",
"text-generation",
"arxiv:2511.21689",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-11-29T00:40:11Z | # ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
[](https://arxiv.org/abs/2511.21689)
[](https://github.com/NVlabs/ToolOrchestra/)
[![Model](https://img.shields.io/badge/Hug... | [
{
"start": 633,
"end": 648,
"text": "Orchestrator-8B",
"label": "benchmark name",
"score": 0.7024235725402832
}
] |
google/siglip-so400m-patch14-384 | google | 2024-09-26T08:21:46Z | 2,713,101 | 664 | transformers | [
"transformers",
"safetensors",
"siglip",
"zero-shot-image-classification",
"vision",
"arxiv:2303.15343",
"arxiv:2305.13035",
"arxiv:2209.06794",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2024-01-08T13:38:32Z | # SigLIP (shape-optimized model)
SigLIP model pre-trained on WebLi at resolution 384x384. It was introduced in the paper [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) by Zhai et al. and first released in [this repository](https://github.com/google-research/big_vision).
This model h... | [] |
mradermacher/QiMing-Gemma-3-Socratic-4b-GGUF | mradermacher | 2025-08-15T12:15:47Z | 217 | 1 | transformers | [
"transformers",
"gguf",
"gemma",
"sales",
"unsloth",
"lora",
"logic-tuning",
"strategic-thinking",
"zh",
"en",
"base_model:aifeifei798/QiMing-Gemma-3-Socratic-4b",
"base_model:adapter:aifeifei798/QiMing-Gemma-3-Socratic-4b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"c... | null | 2025-08-15T11:53:49Z | ## 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... | [] |
openai/imagegpt-small | openai | 2023-06-12T11:16:21Z | 1,951 | 28 | transformers | [
"transformers",
"pytorch",
"imagegpt",
"vision",
"dataset:imagenet-21k",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05Z | # ImageGPT (small-sized model)
ImageGPT (iGPT) model pre-trained on ImageNet ILSVRC 2012 (14 million images, 21,843 classes) at resolution 32x32. It was introduced in the paper [Generative Pretraining from Pixels](https://cdn.openai.com/papers/Generative_Pretraining_from_Pixels_V2.pdf) by Chen et al. and first releas... | [] |
moonshotai/Moonlight-16B-A3B | moonshotai | 2026-01-30T04:51:48Z | 73,719 | 110 | transformers | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"conversational",
"custom_code",
"arxiv:2502.16982",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-02-22T04:14:40Z | <div align="center">
<a href="https://github.com/MoonshotAI/Moonlight"><img width="80%" src="figures/banner.png"></a>
</div>
<!-- # Muon is Scalable For LLM Training -->
<div align="center">
<a href="https://github.com/MoonshotAI/Moonlight/blob/master/Moonlight.pdf" ><img src="figures/logo.png" height="16" width=... | [] |
mradermacher/Nanbeige4.1-3B-absolute-heresy-GGUF | mradermacher | 2026-02-16T21:19:42Z | 123 | 1 | transformers | [
"transformers",
"gguf",
"llm",
"nanbeige",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"zh",
"base_model:MuXodious/Nanbeige4.1-3B-absolute-heresy",
"base_model:quantized:MuXodious/Nanbeige4.1-3B-absolute-heresy",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
... | null | 2026-02-16T18:40:10Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
paperscarecrow/LFM2-24B-A2B-Abliterated | paperscarecrow | 2026-03-08T19:12:56Z | 308 | 2 | null | [
"safetensors",
"gguf",
"liquid",
"moe",
"abliteration",
"uncensored",
"lfm",
"conversational",
"en",
"dataset:mlabonne/harmful_behaviors",
"dataset:mlabonne/harmless_alpaca",
"base_model:LiquidAI/LFM2-24B-A2B",
"base_model:quantized:LiquidAI/LFM2-24B-A2B",
"endpoints_compatible",
"region... | null | 2026-03-08T15:25:42Z | ## crucial note: this currently only works on llama.cpp CUDA; I have not managed to get it working on ROCM or vulkan llama.cpp.
# LFM2-24B-A2B-Abliterated
This is an abliterated version of Liquid AI's `LFM2-24B-A2B` MoE model. It has been modified via layerwise orthogonal projection to completely remove its built-in ... | [] |
dumitrescustefan/bert-base-romanian-cased-v1 | dumitrescustefan | 2025-04-09T12:31:28Z | 9,255 | 16 | transformers | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bert",
"fill-mask",
"ro",
"license:mit",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | fill-mask | 2022-03-02T23:29:05Z | # bert-base-romanian-cased-v1
The BERT **base**, **cased** model for Romanian, trained on a 15GB corpus, version 
### How to use
```python
from transformers import AutoTokenizer, AutoModel
import torch
# load tokenizer and model
tokenizer = AutoTokeniz... | [] |
google/madlad400-10b-mt | google | 2024-04-12T09:11:41Z | 6,732 | 131 | transformers | [
"transformers",
"safetensors",
"gguf",
"t5",
"text2text-generation",
"text-generation-inference",
"translation",
"multilingual",
"en",
"ru",
"es",
"fr",
"de",
"it",
"pt",
"pl",
"nl",
"vi",
"tr",
"sv",
"id",
"ro",
"cs",
"zh",
"hu",
"ja",
"th",
"fi",
"fa",
"uk... | translation | 2023-11-27T15:59:37Z | # Model Card for MADLAD-400-10B-MT
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Usage](#usage)
3. [Uses](#uses)
4. [Bias, Risks, and Limitations](#bias-risks-and-limitations)
5. [Training Details](#training-details)
6. [Evaluation](#evaluation)
7. [Environmental Impact](#environmenta... | [] |
ClankLabs/Wrench-9B-Q4_K_M-GGUF | ClankLabs | 2026-04-03T20:50:15Z | 667 | 6 | null | [
"gguf",
"tool-calling",
"function-calling",
"agent",
"clank",
"text-generation",
"en",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-03-27T01:48:07Z | # Wrench 9B — Purpose-Built Agentic Model
A LoRA fine-tuned version of [Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B) (dense), purpose-built for tool calling, error recovery, and system prompt following. Runs on **8GB VRAM**.
Part of the Wrench family — the 35B sibling scores 82% on the [Berkeley Function Calli... | [
{
"start": 166,
"end": 180,
"text": "error recovery",
"label": "evaluation metric",
"score": 0.6086212396621704
}
] |
QuantFactory/LFM2-1.2B-Tool-GGUF | QuantFactory | 2025-09-29T04:39:42Z | 377 | 2 | transformers | [
"transformers",
"gguf",
"liquid",
"lfm2",
"edge",
"text-generation",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:LiquidAI/LFM2-1.2B",
"base_model:quantized:LiquidAI/LFM2-1.2B",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-29T04:34:22Z | ---
library_name: transformers
license: other
license_name: lfm1.0
license_link: LICENSE
language:
- en
- ar
- zh
- fr
- de
- ja
- ko
- es
pipeline_tag: text-generation
tags:
- liquid
- lfm2
- edge
base_model: LiquidAI/LFM2-1.2B
---
[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEw... | [] |
cyankiwi/GLM-4.5V-AWQ-4bit | cyankiwi | 2026-01-13T14:14:05Z | 126 | 4 | transformers | [
"transformers",
"safetensors",
"glm4v_moe",
"image-text-to-text",
"conversational",
"zh",
"en",
"arxiv:2507.01006",
"base_model:zai-org/GLM-4.5V",
"base_model:quantized:zai-org/GLM-4.5V",
"license:mit",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | image-text-to-text | 2025-08-13T14:46:15Z | # GLM-4.5V
<div align="center">
<img src=https://raw.githubusercontent.com/zai-org/GLM-V/refs/heads/main/resources/logo.svg width="40%"/>
</div>
<p align="center">
👋 Join our <a href="https://discord.com/invite/8cnQKdAprg" target="_blank">Discord</a> communities.
<br>
📖 Check out the <a href="https://git... | [
{
"start": 2,
"end": 10,
"text": "GLM-4.5V",
"label": "benchmark name",
"score": 0.9430586099624634
},
{
"start": 84,
"end": 89,
"text": "GLM-V",
"label": "benchmark name",
"score": 0.8060909509658813
},
{
"start": 334,
"end": 339,
"text": "GLM-V",
"la... |
sentence-transformers/paraphrase-MiniLM-L6-v2 | sentence-transformers | 2025-03-06T13:26:35Z | 3,308,568 | 146 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"tf",
"onnx",
"safetensors",
"openvino",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | sentence-similarity | 2022-03-02T23:29:05Z | # sentence-transformers/paraphrase-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 yo... | [] |
dealignai/Qwen3.5-VL-122B-A10B-6bit-MLX-CRACK | dealignai | 2026-03-07T19:23:31Z | 518 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"qwen3.5",
"abliterated",
"uncensored",
"vision",
"vlm",
"6bit",
"apple-silicon",
"crack",
"image-text-to-text",
"conversational",
"license:apache-2.0",
"6-bit",
"region:us"
] | image-text-to-text | 2026-03-02T08:30:46Z | <!-- vmlx-banner -->
<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 quantization, prefix cache reuse, agentic tool calling, and speculative decoding.
<br/>
<sub>Free for macOS · <strong>... | [] |
surogate/Qwen3.5-4B-NVFP4 | surogate | 2026-03-16T20:59:57Z | 2,787 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"Surogate",
"ModelOpt",
"Qwen3.5",
"quantized",
"NVFP4",
"nvfp4",
"sglang",
"conversational",
"base_model:Qwen/Qwen3.5-4B",
"base_model:quantized:Qwen/Qwen3.5-4B",
"license:apache-2.0",
"endpoints_compatible",
"8-bit",
... | image-text-to-text | 2026-03-16T16:53:46Z | # Qwen3.5-4B-NVFP4
<img width="400px" src="https://huggingface.co/surogate/Qwen3.5-9B-NVFP4/resolve/main/Surogate-Logo-White.png">
**This Qwen3.5 variant is recommended for Surogate on Blackwell NVIDIA GPUs. Check out [http://surogate.ai](http://surogate.ai)**
This is an NVFP4-quantized version of [Qwen/Qwen3.5-9B](... | [] |
iitolstykh/mivolo_v2 | iitolstykh | 2026-03-11T13:56:40Z | 4,614,484 | 25 | mivolo | [
"mivolo",
"safetensors",
"custom_code",
"arxiv:2307.04616",
"arxiv:2403.02302",
"license:apache-2.0",
"region:us"
] | null | 2024-03-05T12:50:28Z | # Model Card for MiVOLO V2 model
<p style="text-align: center;">
<div align="center">
<img src=https://huggingface.co/iitolstykh/mivolo_v2/resolve/main/icon.jpg width="40%"/>
</div>
<p align="center">
<a href="https://huggingface.co/spaces/iitolstykh/age_gender_estimation_demo">🤗 Space | </a>
<a href="ht... | [] |
mradermacher/orpheus-3b-0.1-hindi-male-lora-GGUF | mradermacher | 2026-03-13T09:30:11Z | 949 | 1 | transformers | [
"transformers",
"gguf",
"text-to-speech",
"hindi",
"orpheus",
"tts",
"lora",
"hi",
"base_model:edzsaji26/orpheus-3b-0.1-hindi-male-lora",
"base_model:adapter:edzsaji26/orpheus-3b-0.1-hindi-male-lora",
"license:llama3.2",
"endpoints_compatible",
"region:us",
"conversational"
] | text-to-speech | 2026-03-13T08:49:06Z | ## 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": 362,
"end": 374,
"text": "orpheus-3b-0",
"label": "benchmark name",
"score": 0.6301590800285339
}
] |
nvidia/NVIDIA-Nemotron-Nano-9B-v2-Japanese | nvidia | 2026-04-21T05:39:44Z | 328,252 | 134 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"nvidia",
"pytorch",
"conversational",
"custom_code",
"en",
"ja",
"dataset:nvidia/Nemotron-Personas-Japan",
"dataset:nvidia/Nemotron-CC-v2.1",
"dataset:nvidia/Nemotron-Pretraining-Specialized-v1",
"dataset:nvidia/Nemotron-Agen... | text-generation | 2026-02-04T08:48:59Z | # NVIDIA-Nemotron-Nano-9B-v2-Japanese
[Nejumi LLM Leaderboard 4](https://wandb.ai/llm-leaderboard/nejumi-leaderboard4/reports/Nejumi-LLM-4--VmlldzoxMzc1OTk1MA)
**モデル開発者 (Model Developer):** NVIDIA Corporation
このモデルはNVIDIA Japanによって追加学習されました。
This model was further trained by NVIDIA Japan.
**モデ... | [] |
google/electra-base-generator | google | 2024-02-29T10:20:15Z | 1,179 | 9 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"electra",
"fill-mask",
"en",
"arxiv:1406.2661",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | ## ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
**ELECTRA** is a new method for self-supervised language representation learning. It can be used to pre-train transformer networks using relatively little compute. ELECTRA models are trained to distinguish "real" input tokens vs "fake" inp... | [] |
mradermacher/Magrathic-12B-i1-GGUF | mradermacher | 2025-12-07T05:21:57Z | 145 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:grimjim/Magrathic-12B",
"base_model:quantized:grimjim/Magrathic-12B",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2025-09-19T11:06:13Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 463,
"end": 476,
"text": "Magrathic-12B",
"label": "benchmark name",
"score": 0.6630331873893738
},
{
"start": 613,
"end": 634,
"text": "Magrathic-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.7777730822563171
},
{
"start": 708,
"end": 726,
... |
MertBauer1/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-heretic-v2-GGUF | MertBauer1 | 2026-03-20T10:40:15Z | 627 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"qwen",
"qwen3.5",
"reasoning",
"chain-of-thought",
"Dense",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"en",
"zh",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"base_model:llmfa... | null | 2026-03-20T10:40:14Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/GUI-Owl-1.5-2B-Instruct-GGUF | mradermacher | 2026-02-20T08:23:39Z | 333 | 2 | transformers | [
"transformers",
"gguf",
"arxiv:2602.16855",
"en",
"base_model:mPLUG/GUI-Owl-1.5-2B-Instruct",
"base_model:quantized:mPLUG/GUI-Owl-1.5-2B-Instruct",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-15T06:40:57Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
XiaomiMiMo/MiMo-V2-Flash-Base | XiaomiMiMo | 2026-04-20T13:00:15Z | 322 | 48 | transformers | [
"transformers",
"safetensors",
"mimo_v2_flash",
"text-generation",
"conversational",
"custom_code",
"base_model:XiaomiMiMo/MiMo-V2-Flash-Base",
"base_model:quantized:XiaomiMiMo/MiMo-V2-Flash-Base",
"license:mit",
"fp8",
"region:us"
] | text-generation | 2025-12-16T09:08:24Z | <br/><br/>
<div align="center">
<picture>
<source srcset="https://github.com/XiaomiMiMo/MiMo-V2-Flash/raw/main/figures/Xiaomi_MiMo_darkmode.png?raw=true" media="(prefers-color-scheme: dark)">
<img src="https://github.com/XiaomiMiMo/MiMo-V2-Flash/raw/main/figures/Xiaomi_MiMo.png?raw=true" width="60%" alt="Xia... | [] |
Jiunsong/supergemma4-26b-uncensored-gguf-v2 | Jiunsong | 2026-04-12T13:42:43Z | 3,550 | 65 | null | [
"gguf",
"gemma4",
"uncensored",
"fast",
"llama.cpp",
"apple-silicon",
"conversational",
"korean",
"coding",
"tool-use",
"text-generation",
"en",
"ko",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:quantized:google/gemma-4-26B-A4B-it",
"license:gemma",
"endpoints_compatible",
... | text-generation | 2026-04-11T11:03:05Z | # SuperGemma4-26B-Uncensored-Fast GGUF v2
The fast, uncensored `llama.cpp` build of the strongest `SuperGemma` text line.
This release is for people who want three things together:
- a model that feels less censored than stock chat releases
- a model that is more capable than the raw base on practical text workloads... | [] |
mradermacher/Magistral-Small-2506-abliterated-GGUF | mradermacher | 2025-07-11T22:28:13Z | 145 | 9 | transformers | [
"transformers",
"gguf",
"chat",
"abliterated",
"uncensored",
"en",
"fr",
"de",
"es",
"pt",
"it",
"ja",
"ko",
"ru",
"zh",
"ar",
"fa",
"id",
"ms",
"ne",
"pl",
"ro",
"sr",
"sv",
"tr",
"uk",
"vi",
"hi",
"bn",
"base_model:huihui-ai/Magistral-Small-2506-abliterate... | null | 2025-06-13T15:23:51Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/huihui-ai/Magistral-Small-2506-abliterated
<!-- provided-files -->
***For a convenient overview and download list, visi... | [] |
mradermacher/Qwen3.5-9B-Writing-DPO-GGUF | mradermacher | 2026-03-07T08:39:42Z | 1,536 | 1 | transformers | [
"transformers",
"gguf",
"merlina",
"text-generation",
"orpo",
"en",
"dataset:schneewolflabs/Athanorlite-DPO",
"base_model:nbeerbower/Qwen3.5-9B-Writing-DPO",
"base_model:quantized:nbeerbower/Qwen3.5-9B-Writing-DPO",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-03-07T06:25:45Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
Qwen/Qwen3-8B-GGUF | Qwen | 2025-05-21T06:31:50Z | 63,840 | 167 | null | [
"gguf",
"text-generation",
"arxiv:2309.00071",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-8B",
"base_model:quantized:Qwen/Qwen3-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-05-03T06:33:59Z | # Qwen3-8B-GGUF
<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Qwen3 Highlights
Qwen3 is the latest generation of large language ... | [] |
mradermacher/Bigger-Personality-12B-i1-GGUF | mradermacher | 2025-12-28T20:12:04Z | 528 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"conversational",
"chat",
"nsfw",
"en",
"base_model:Snqwii/Bigger-Personality-12B",
"base_model:quantized:Snqwii/Bigger-Personality-12B",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2025-09-05T13:02:20Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [
{
"start": 461,
"end": 483,
"text": "Bigger-Personality-12B",
"label": "benchmark name",
"score": 0.6540154218673706
},
{
"start": 620,
"end": 650,
"text": "Bigger-Personality-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.7523462772369385
},
{
"start": 1212,... |
huihui-ai/Huihui-MoE-0.8B-2E | huihui-ai | 2025-06-18T16:07:15Z | 1,074 | 10 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"moe",
"conversational",
"base_model:Qwen/Qwen3-0.6B",
"base_model:finetune:Qwen/Qwen3-0.6B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-06-10T11:41:34Z | # huihui-ai/Huihui-MoE-0.8B-2E
## Model Overview
Huihui-MoE-0.8B-2E is a **Mixture of Experts (MoE)** language model developed by **huihui.ai**, built upon the **[Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B)** base model. It enhances the standard Transformer architecture by replacing MLP layers with MoE la... | [] |
bartowski/perplexity-ai_r1-1776-distill-llama-70b-GGUF | bartowski | 2025-02-23T01:26:07Z | 1,993 | 11 | null | [
"gguf",
"text-generation",
"base_model:perplexity-ai/r1-1776-distill-llama-70b",
"base_model:quantized:perplexity-ai/r1-1776-distill-llama-70b",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-02-22T21:59:16Z | ## Llamacpp imatrix Quantizations of r1-1776-distill-llama-70b by perplexity-ai
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4738">b4738</a> for quantization.
Original model: https://huggingface.co/perplexity-ai/r1-1776-dis... | [] |
tiny-random/gemma-4-e | tiny-random | 2026-04-15T17:44:32Z | 300 | 1 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"conversational",
"base_model:google/gemma-4-E4B-it",
"base_model:finetune:google/gemma-4-E4B-it",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-04-03T06:32:19Z | This tiny model is intended for debugging. It is randomly initialized using the configuration adapted from [google/gemma-4-E4B-it](https://huggingface.co/google/gemma-4-E4B-it).
| File path | Size |
|------|------|
| model.safetensors | 9.5MB |
### Example usage:
```python
import torch
from transformers import Auto... | [] |
AnasAlokla/multilingual_go_emotions | AnasAlokla | 2025-07-28T10:37:47Z | 2,654 | 8 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"emotion",
"classification",
"emojis",
"emotions",
"v1.0",
"sentiment-analysis",
"nlp",
"chatbot",
"social-media",
"mental-health",
"short-text",
"emotion-detection",
"expressive",
"ai",
"machine-learning",
"inferenc... | text-classification | 2025-03-28T09:23:08Z | # 🌍 Multilingual GoEmotions Classifier 💬
[](https://huggingface.co/datasets/AnasAlokla/multilingual_go_emotions)
[](https://huggingface.co/AnasAlokla/multilingual_go_emotion... | [] |
mradermacher/Qwen3.5-122B-A10B-REAP-30-i1-GGUF | mradermacher | 2026-04-19T15:50:42Z | 25,075 | 3 | transformers | [
"transformers",
"gguf",
"moe",
"pruned",
"reap",
"qwen3.5",
"expert-pruning",
"en",
"base_model:0xSero/Qwen3.5-122B-A10B-REAP-30",
"base_model:quantized:0xSero/Qwen3.5-122B-A10B-REAP-30",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-04-15T15:01:08Z | ## 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": 488,
"text": "Qwen3.5-122B-A10B-REAP-30",
"label": "benchmark name",
"score": 0.642159104347229
},
{
"start": 625,
"end": 658,
"text": "Qwen3.5-122B-A10B-REAP-30-i1-GGUF",
"label": "benchmark name",
"score": 0.7693647742271423
},
{
"start": ... |
LilaRest/gemma-4-31B-it-NVFP4-turbo | LilaRest | 2026-04-10T09:20:46Z | 3,520 | 55 | transformers | [
"transformers",
"safetensors",
"gemma4",
"text-generation",
"gemma-4-31b-it",
"nvfp4",
"modelopt",
"vllm",
"quantized",
"nvidia",
"lighthouse",
"conversational",
"base_model:google/gemma-4-31B-it",
"base_model:quantized:google/gemma-4-31B-it",
"license:apache-2.0",
"model-index",
"en... | text-generation | 2026-04-07T13:26:45Z | <div align="center">
<img src="https://huggingface.co/LilaRest/gemma-4-31B-it-NVFP4-turbo/resolve/main/banner.png">
</div>
<h1 align="center">⚡ Gemma 4 31B IT NVFP4 <i>Turbo</i></h1>
A repackaged [nvidia/Gemma-4-31B-IT-NVFP4](https://huggingface.co/nvidia/Gemma-4-31B-IT-NVFP4) that is **68% smaller** in GPU memory ... | [
{
"start": 171,
"end": 176,
"text": "Turbo",
"label": "benchmark name",
"score": 0.6690785884857178
},
{
"start": 1219,
"end": 1224,
"text": "Turbo",
"label": "benchmark name",
"score": 0.6836124062538147
}
] |
microsoft/Phi-3-small-8k-instruct | microsoft | 2025-12-10T20:20:39Z | 16,811 | 176 | transformers | [
"transformers",
"safetensors",
"phi3small",
"text-generation",
"nlp",
"code",
"conversational",
"custom_code",
"multilingual",
"license:mit",
"region:us"
] | text-generation | 2024-05-07T15:29:04Z | 🎉 **Phi-3.5**: [[mini-instruct]](https://huggingface.co/microsoft/Phi-3.5-mini-instruct); [[MoE-instruct]](https://huggingface.co/microsoft/Phi-3.5-MoE-instruct) ; [[vision-instruct]](https://huggingface.co/microsoft/Phi-3.5-vision-instruct)
## Model Summary
The Phi-3-Small-8K-Instruct is a 7B parameters, lightweigh... | [
{
"start": 552,
"end": 557,
"text": "Phi-3",
"label": "benchmark name",
"score": 0.6483598351478577
}
] |
mradermacher/MARTHA-9B-i1-GGUF | mradermacher | 2026-04-09T22:51:14Z | 11,567 | 6 | transformers | [
"transformers",
"gguf",
"Z.P.I",
"ghost pass",
"Scottish",
"dundee",
"code",
"nsfw",
"adults only",
"ZERO-POINT-AI",
"Miss_MARTHA",
"Mr_Martin",
"en",
"zh",
"ko",
"th",
"es",
"fr",
"de",
"ja",
"mn",
"base_model:ZERO-POINT-INTELLIGENCE-LTD/Miss_MARTHA-9B-Qwen3.5-Omni",
"ba... | null | 2026-03-13T15:24:42Z | ## 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": 648,
"end": 665,
"text": "MARTHA-9B-i1-GGUF",
"label": "benchmark name",
"score": 0.6298046708106995
},
{
"start": 1354,
"end": 1371,
"text": "MARTHA-9B-i1-GGUF",
"label": "benchmark name",
"score": 0.645545482635498
}
] |
JZPeterPan/MedVLM-R1 | JZPeterPan | 2025-09-29T14:43:25Z | 2,081 | 14 | null | [
"safetensors",
"qwen2_vl",
"en",
"arxiv:2502.19634",
"arxiv:2402.03300",
"base_model:Qwen/Qwen2-VL-2B-Instruct",
"base_model:finetune:Qwen/Qwen2-VL-2B-Instruct",
"license:apache-2.0",
"region:us"
] | null | 2025-03-12T17:50:10Z | <div align="center">
<h1>
MedVLM-R1
</h1>
</div>
<div align="center">
<a href="https://arxiv.org/abs/2502.19634" target="_blank">Paper</a>
</div>
<div align="center">
<a href="https://github.com/JZPeterPan/MedVLM-R1" target="_blank">Code</a>
</div>
# <span id="Start">Introduction</span>
MedVLM-R1 is a medical Vi... | [] |
LLM4Binary/llm4decompile-9b-v2 | LLM4Binary | 2024-09-23T02:32:20Z | 516 | 23 | null | [
"safetensors",
"llama",
"decompile",
"binary",
"license:mit",
"region:us"
] | null | 2024-09-23T01:01:47Z | ### 1. Introduction of LLM4Decompile
LLM4Decompile aims to decompile x86 assembly instructions into C. The newly released V2 series are trained with a larger dataset (2B tokens) and a maximum token length of 4,096, with remarkable performance (up to 100% improvement) compared to the previous model.
- **Github Reposit... | [] |
mlx-community/Qwen3.5-4B-MLX-8bit | mlx-community | 2026-03-02T14:19:14Z | 3,125 | 3 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"qwen3.5",
"vision-language-model",
"quantized",
"8bit",
"base_model:Qwen/Qwen3.5-4B",
"base_model:quantized:Qwen/Qwen3.5-4B",
"license:apache-2.0",
"8-bit",
"region:us"
] | null | 2026-03-02T14:06:05Z | # Qwen3.5-4B-MLX-8bit
This is a quantized MLX version of [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B) for Apple Silicon.
## Model Details
- **Original Model:** [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B)
- **Quantization:** 8-bit (~9.053 bits per weight)
- **Group Size:** 64
- **Format:** ... | [] |
perplexity-ai/pplx-embed-context-v1-0.6b | perplexity-ai | 2026-03-02T09:28:54Z | 169,178 | 49 | transformers | [
"transformers",
"onnx",
"safetensors",
"bidirectional_pplx_qwen3",
"feature-extraction",
"sentence-similarity",
"conteb",
"contextual-embeddings",
"custom_code",
"multilingual",
"arxiv:2602.11151",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2026-01-20T11:43:34Z | <p align="center">
<img src="assets/logo.svg" alt="Perplexity Logo" width="400">
</p>
<p align="center">pplx-embed-v1: Diffusion-Pretrained Dense and Contextual Embeddings</p>
`pplx-embed-v1` and `pplx-embed-context-v1` are state-of-the-art text embedding models optimized for real-world, web-scale retrieval tasks.
... | [] |
ProGamerGov/sdxl-360-diffusion | ProGamerGov | 2025-08-24T15:59:18Z | 170 | 3 | diffusers | [
"diffusers",
"safetensors",
"360",
"360°",
"360-degree",
"360-image",
"equirectangular",
"equirectangular-projection",
"image-generation",
"text-to-image",
"en",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:finetune:stabilityai/stable-diffusion-xl-base-1.0",
"region:u... | text-to-image | 2025-08-23T19:42:01Z | # SDXL 360 Diffusion
## General
SDXL 360 Diffusion is a 3.5 billion parameter model designed to generate 360 degree spherical images from text descriptions.
The model was trained from the [SD-XL 1.0-base m... | [] |
prithivMLmods/Fara-7B-AIO-GGUF | prithivMLmods | 2025-11-27T09:14:51Z | 383 | 2 | transformers | [
"transformers",
"gguf",
"qwen2_5_vl",
"text-generation-inference",
"agent",
"multimodal",
"image-text-to-text",
"en",
"base_model:microsoft/Fara-7B",
"base_model:quantized:microsoft/Fara-7B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-11-26T16:30:09Z | # **Fara-7B-AIO-GGUF**
> [Fara-7B](https://huggingface.co/microsoft/Fara-7B) is Microsoft's first agentic small language model (SLM) with 7 billion parameters, built on Qwen2.5-VL-7B as a multimodal decoder-only architecture specialized for computer use tasks like web automation, shopping, booking travel, restaurant r... | [
{
"start": 874,
"end": 886,
"text": "WebTailBench",
"label": "benchmark name",
"score": 0.7892732620239258
}
] |
kontextdev/agent-gemma | kontextdev | 2026-03-23T14:11:36Z | 255 | 3 | transformers | [
"transformers",
"safetensors",
"gemma3n",
"image-text-to-text",
"function-calling",
"tool-use",
"on-device",
"mobile",
"gemma",
"litertlm",
"conversational",
"en",
"base_model:google/gemma-3n-E2B-it",
"base_model:finetune:google/gemma-3n-E2B-it",
"license:gemma",
"endpoints_compatible"... | image-text-to-text | 2025-11-14T03:38:04Z | # Agent Gemma — Gemma 3n E2B Fine-Tuned for Function Calling
A fine-tuned version of [google/gemma-3n-E2B-it](https://huggingface.co/google/gemma-3n-E2B-it) trained for on-device function calling using Google's [FunctionGemma](https://ai.google.dev/gemma/docs/functiongemma/function-calling-with-hf) technique.
## What... | [] |
cjvt/GaMS3-12B-Instruct | cjvt | 2026-01-07T15:16:58Z | 3,184 | 2 | null | [
"safetensors",
"gemma3_text",
"text-generation",
"conversational",
"sl",
"en",
"sr",
"hr",
"bs",
"base_model:google/gemma-3-12b-pt",
"base_model:finetune:google/gemma-3-12b-pt",
"license:gemma",
"region:us"
] | text-generation | 2025-12-04T14:48:32Z | # Model Card for GaMS3-12B-Instruct
GaMS3-12B-Instruct represents the next generation of the GaMS (Generative Model for Slovene) model. The model is based on Google's Gemma 3 family and continually pretrained on Slovene, English, and some portion of Croatian, Serbian, and Bosnian corpora. The supervised fine-tuning ph... | [] |
casperhansen/llama-3.3-70b-instruct-awq | casperhansen | 2024-12-06T19:24:27Z | 315,319 | 42 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"de",
"base_model:meta-llama/Llama-3.1-70B",
"base_model:quantized:meta-llama/Llama-3.1-70B",
"license:llama3.3",
"text-generation-inference",
"endpoints_compatibl... | text-generation | 2024-12-06T19:10:31Z | This is the AWQ version of the Llama 3.3 70B Instruct model. Find more info here: https://github.com/casper-hansen/AutoAWQ.
## Model Information
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned ... | [
{
"start": 896,
"end": 907,
"text": "Token count",
"label": "evaluation metric",
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},
{
"start": 910,
"end": 926,
"text": "Knowledge cutoff",
"label": "evaluation metric",
"score": 0.8215150237083435
}
] |
mradermacher/Eva-Mindlink-72b-i1-GGUF | mradermacher | 2026-01-01T12:21:54Z | 116 | 1 | transformers | [
"transformers",
"gguf",
"chat",
"conversational",
"en",
"base_model:maldv/Eva-Mindlink-72b",
"base_model:quantized:maldv/Eva-Mindlink-72b",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2025-08-06T09:18:40Z | ## 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": 637,
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"score": 0.654018223285675
},
{
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"text": "Eva-Mindlink-72b-i1-GGUF",
"label": "benchmark name",
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},
{
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... |
NAMAA-Space/Qari-OCR-0.2.2.1-VL-2B-Instruct | NAMAA-Space | 2025-06-07T17:15:11Z | 11,137 | 23 | peft | [
"peft",
"safetensors",
"transformers",
"unsloth",
"qwen2_vl",
"trl",
"ocr",
"image-text-to-text",
"conversational",
"ar",
"arxiv:2506.02295",
"base_model:unsloth/Qwen2-VL-2B-Instruct-unsloth-bnb-4bit",
"base_model:adapter:unsloth/Qwen2-VL-2B-Instruct-unsloth-bnb-4bit",
"license:apache-2.0"... | image-text-to-text | 2025-03-26T08:06:37Z | # Qari-OCR-Arabic-0.2.2.1-VL-2B-Instruct Model
This is the model described in the paper [QARI-OCR: High-Fidelity Arabic Text Recognition through Multimodal Large Language Model Adaptation](https://huggingface.co/papers/2506.02295).
## Model Overview
This model is a fine-tuned version of [unsloth/Qwen2-VL-2B-Instruct... | [
{
"start": 1662,
"end": 1672,
"text": "BLEU Score",
"label": "evaluation metric",
"score": 0.6874293684959412
}
] |
NousResearch/Hermes-3-Llama-3.1-8B-GGUF | NousResearch | 2024-08-23T01:22:33Z | 8,122 | 139 | null | [
"gguf",
"Llama-3",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation",
"function calling",
"json mode",
"axolotl",
"roleplaying",
"chat",
"en",
"arxiv:2408.11857",
"base_model:meta-llama/Llama-3.1-8B",
"base_model:quantized:meta-llama/Llama-3.1-8B",
"license... | null | 2024-08-05T04:56:41Z | # Hermes 3 - Llama-3.1 8B
## Model Description
Hermes 3 is the latest version of our flagship Hermes series of LLMs by Nous Research.
For more details on new capabilities, training results, and ... | [
{
"start": 1270,
"end": 1278,
"text": "Hermes 3",
"label": "benchmark name",
"score": 0.618647038936615
}
] |
nkkbr/whisper-large-v3-zatoichi-ja-JDG_ver_20260319_lr_2.4e-5 | nkkbr | 2026-03-19T18:58:34Z | 195 | 1 | transformers | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"ja",
"base_model:openai/whisper-large-v3",
"base_model:finetune:openai/whisper-large-v3",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2026-03-19T12:17:38Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Large v3 - Japanese Zatoichi ASR
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/o... | [
{
"start": 218,
"end": 230,
"text": "Zatoichi ASR",
"label": "benchmark name",
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{
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"end": 428,
"text": "Loss",
"label": "evaluation metric",
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{
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"end": 442,
"text": "Wer"... |
SG161222/Realistic_Vision_V6.0_B1_noVAE | SG161222 | 2024-10-08T16:36:37Z | 28,151 | 297 | diffusers | [
"diffusers",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | 2023-11-29T08:02:09Z | <strong>Check my exclusive models on Mage: </strong><a href="https://www.mage.space/play/4371756b27bf52e7a1146dc6fe2d969c" rel="noopener noreferrer nofollow"><strong>ParagonXL</strong></a><strong> / </strong><a href="https://www.mage.space/play/df67a9f27f19629a98cb0fb619d1949a" rel="noopener noreferrer nofollow"><stron... | [] |
inarikami/DeepSeek-R1-Distill-Qwen-32B-AWQ | inarikami | 2025-01-23T20:09:00Z | 187 | 12 | null | [
"safetensors",
"qwen2",
"code",
"deepseek_v3",
"qwen",
"int4",
"conversational",
"text-generation",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
"base_model:quantized:deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
"license:mit",
"4-bit",
"awq",
"region:us"
] | text-generation | 2025-01-21T05:04:54Z | # DeepSeek-R1-Distill-Qwen-32B-AWQ wint4
Distillation of DeepSeek-R1 to Qwen 32B, quantized using AWQ to wint4. It fits on any 24GB VRAM GPU or 32GB URAM device!
## MMLU-PRO
The MMLU-PRO dataset evaluates subjects across 14 distinct fields using a 5-shot accuracy measurement. Each task assesses models following the ... | [
{
"start": 167,
"end": 175,
"text": "MMLU-PRO",
"label": "benchmark name",
"score": 0.6212232112884521
},
{
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"end": 189,
"text": "MMLU-PRO",
"label": "benchmark name",
"score": 0.7275522351264954
},
{
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"end": 722,
"text": "exact_m... |
nvidia/atlas-era5 | nvidia | 2026-03-04T17:45:55Z | 192 | 20 | null | [
"license:other",
"region:us"
] | null | 2026-01-20T21:56:36Z | # Earth-2 Checkpoints: Atlas
## Description:
Atlas is a medium-range weather generative AI model that autoregressively predicts ERA5 variables on a global 0.25 degree latitude-longitude grid.
The model can be sampled multiple times given a single input to produce multiple ensemble members, enabling rapid generation ... | [] |
lmstudio-community/gpt-oss-safeguard-120b-GGUF | lmstudio-community | 2025-10-29T03:06:19Z | 489 | 1 | null | [
"gguf",
"base_model:openai/gpt-oss-safeguard-120b",
"base_model:quantized:openai/gpt-oss-safeguard-120b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-28T20:22:37Z | ## 💫 Community Model> gpt-oss-safeguard-120b 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/mod... | [] |
mradermacher/NeutralWeirdness-V1-24B-Heretic-GGUF | mradermacher | 2026-05-03T13:39:31Z | 897 | 3 | transformers | [
"transformers",
"gguf",
"mistral",
"24b",
"merge",
"heretic",
"abliterated",
"uncensored",
"roleplay",
"conversational",
"en",
"base_model:ShyliaSafetensors/NeutralWeirdness-V1-24B-Heretic",
"base_model:quantized:ShyliaSafetensors/NeutralWeirdness-V1-24B-Heretic",
"license:other",
"endpo... | null | 2026-04-30T19:20:45Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
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"end": 401,
"text": "NeutralWeirdness-V1-24B-Heretic",
"label": "benchmark name",
"score": 0.6212725043296814
},
{
"start": 538,
"end": 574,
"text": "NeutralWeirdness-V1-24B-Heretic-GGUF",
"label": "benchmark name",
"score": 0.6901640295982361
},
{
... |
mradermacher/Rocinante-X-12B-v1-Heretic-Uncensored-GGUF | mradermacher | 2026-01-28T07:49:22Z | 578 | 3 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance"... | null | 2026-01-28T06:44:59Z | ## 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/Florence-2-large-ft | microsoft | 2025-08-04T17:11:22Z | 34,642 | 383 | transformers | [
"transformers",
"pytorch",
"safetensors",
"florence2",
"image-text-to-text",
"vision",
"custom_code",
"arxiv:2311.06242",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2024-06-15T00:57:45Z | # Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
## Model Summary
This Hub repository contains a HuggingFace's `transformers` implementation of Florence-2 model from Microsoft.
Florence-2 is an advanced vision foundation model that uses a prompt-based approach to handle a wide range of ... | [] |
mradermacher/bella-bartender-8b-llama3.1-GGUF | mradermacher | 2026-03-10T08:49:12Z | 735 | 1 | transformers | [
"transformers",
"gguf",
"llama-3.1",
"8b",
"conversational",
"unsloth",
"fine-tuned",
"bartender",
"personality",
"creative-writing",
"quantized",
"en",
"base_model:juiceb0xc0de/bella-bartender-8b-llama3.1",
"base_model:quantized:juiceb0xc0de/bella-bartender-8b-llama3.1",
"license:llama3... | null | 2026-03-10T07:46:19Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/Qwen2.5-VL-3B-Instruct-heretic-i1-GGUF | mradermacher | 2026-01-18T06:52:54Z | 339 | 1 | transformers | [
"transformers",
"gguf",
"multimodal",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:coder3101/Qwen2.5-VL-3B-Instruct-heretic",
"base_model:quantized:coder3101/Qwen2.5-VL-3B-Instruct-heretic",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-18T06:27:38Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/aquif-3.5-7B-GGUF | mradermacher | 2025-09-07T14:51:18Z | 102 | 1 | transformers | [
"transformers",
"gguf",
"language",
"aquif",
"text-generation-inference",
"math",
"coding",
"small",
"aquif-3.5",
"en",
"de",
"it",
"pt",
"fr",
"hi",
"es",
"th",
"zh",
"ja",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-31T04:02:37Z | ## 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... | [] |
professorf/Ministral-3-3B-Instruct-2512-gguf | professorf | 2026-02-15T00:18:01Z | 122 | 1 | vllm | [
"vllm",
"gguf",
"mistral-common",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"arxiv:2601.08584",
"base_model:mistralai/Ministral-3-3B-Base-2512",
"base_model:quantized:mistralai/Ministral-3-3B-Base-2512",
"license:apache-2.0",
"region:us",
"conversational... | null | 2026-02-15T00:03:40Z | <!-- header start -->
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<div style="text-align:center; margin-top: 0em; margin-bottom: 0em"><p style="margin-top: 0.25em; margin-bottom: 0em;">ProfessorF is Nick V. Flor, PhD<br>Models quantized for research reproducibility purposes</p></div>
<hr style="margin-top: 1.... | [] |
nomic-ai/nomic-embed-multimodal-7b | nomic-ai | 2025-04-15T20:06:02Z | 2,936 | 49 | peft | [
"peft",
"safetensors",
"vidore",
"colpali",
"multimodal_embedding",
"multilingual_embedding",
"Text-to-Visual Document (T→VD) retrieval",
"visual-document-retrieval",
"en",
"it",
"fr",
"de",
"es",
"dataset:nomic-ai/colpali-queries-mined-20250321-by-source",
"arxiv:2407.01449",
"arxiv:2... | visual-document-retrieval | 2025-03-29T16:58:25Z | # Nomic Embed Multimodal 7B: State-of-the-Art Visual Document Retrieval
`nomic-embed-multimodal-7b` is a dense state-of-the-art multimodal embedding model that excels at visual document retrieval tasks:
- **High Performance**: Achieves 58.8 NDCG@5 on Vidore-v2, outperforming all other dense multimodal embedding model... | [] |
Tengyunw/GLM-4.7-NVFP4 | Tengyunw | 2026-03-06T04:25:20Z | 26,103 | 6 | null | [
"safetensors",
"glm4_moe",
"text-generation",
"conversational",
"dataset:abisee/cnn_dailymail",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v2",
"base_model:zai-org/GLM-4.7",
"base_model:quantized:zai-org/GLM-4.7",
"license:mit",
"8-bit",
"modelopt",
"region:us"
] | text-generation | 2025-12-26T06:49:52Z | 腾云智算（Tenyunw）专注于大模型推理优化和GPU云基础设施。
我们在做什么：
- 推理加速：实现了 Eagle3 for training on Qwen3-8B（20,000+ downloads），显著提升LLM推理速度
- GPU云平台：为AIGC应用提供性价比最优的推理部署方案
- 量化优化：基于QAT+ DPO的训练和推理框架，帮助客户在Blackwell架构硬件上翻倍并发能力
核心团队来自腾讯云、华为云、面壁智能等，在AI基础设施领域有15年以上实战经验。
🎁 限时福利：
如果你在做大模型应用部署，我们提供免费的推理优化咨询（30分钟技术诊断），帮你分析：
- 当前部署方案的性能瓶颈
- 成本优化的具体路径... | [] |
mradermacher/MN-VelvetCafe-RP-12B-i1-GGUF | mradermacher | 2026-03-09T11:41:51Z | 3,752 | 3 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplaying",
"RP",
"Writing",
"creative",
"story",
"fiction",
"mistral",
"text",
"adventure",
"conversational",
"en",
"base_model:IggyLux/MN-VelvetCafe-RP-12B",
"base_model:quantized:IggyLux/MN-VelvetCafe-RP-12B",
"license:cc-by-4.0",
... | null | 2026-03-09T10:44:34Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 620,
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"label": "benchmark name",
"score": 0.6546092629432678
},
{
"start": 1208,
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"text": "MN-VelvetCafe-RP-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.6421870589256287
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{
"start":... |
microsoft/tapex-large | microsoft | 2023-05-03T03:48:31Z | 614 | 11 | transformers | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"tapex",
"table-question-answering",
"en",
"arxiv:2107.07653",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | table-question-answering | 2022-03-10T04:55:54Z | # TAPEX (large-sized model)
TAPEX was proposed in [TAPEX: Table Pre-training via Learning a Neural SQL Executor](https://arxiv.org/abs/2107.07653) by Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou. The original repo can be found [here](https://github.com/microsoft/Table-Pretraini... | [] |
hongxingli/SpatialLadder-3B | hongxingli | 2025-10-10T02:14:14Z | 944 | 2 | null | [
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"conversational",
"arxiv:2510.08531",
"base_model:Qwen/Qwen2.5-VL-3B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-3B-Instruct",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2025-09-29T09:18:38Z | <a href="https://arxiv.org/pdf/2510.08531" target="_blank">
<img alt="arXiv" src="https://img.shields.io/badge/arXiv-SpatialLadder-red?logo=arxiv" height="20" />
</a>
<a href="https://zju-real.github.io/SpatialLadder/" target="_blank">
<img alt="Website" src="https://img.shields.io/badge/🌎_Website-SpaitalLadde... | [] |
M-CLIP/XLM-Roberta-Large-Vit-L-14 | M-CLIP | 2022-09-15T10:44:59Z | 5,444 | 15 | transformers | [
"transformers",
"pytorch",
"tf",
"multilingual",
"af",
"sq",
"am",
"ar",
"az",
"bn",
"bs",
"bg",
"ca",
"zh",
"hr",
"cs",
"da",
"nl",
"en",
"et",
"fr",
"de",
"el",
"hi",
"hu",
"is",
"id",
"it",
"ja",
"mk",
"ml",
"mr",
"pl",
"pt",
"ro",
"ru",
"sr... | null | 2022-05-30T14:35:41Z | ## Multilingual-clip: XLM-Roberta-Large-Vit-L-14
Multilingual-CLIP extends OpenAI's English text encoders to multiple other languages. This model *only* contains the multilingual text encoder. The corresponding image model `ViT-L-14` can be retrieved via instructions found on OpenAI's [CLIP repository on Github](https... | [] |
unsloth/Qwen3-4B-Thinking-2507-FP8 | unsloth | 2025-11-20T14:44:51Z | 1,247 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"unsloth",
"conversational",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-4B-Thinking-2507-FP8",
"base_model:quantized:Qwen/Qwen3-4B-Thinking-2507-FP8",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"fp8",
... | text-generation | 2025-11-20T14:44:36Z | <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... | [] |
WithinUsAI/IBM-Grok4-Ultra.Fast.Coder-1B-GGUF | WithinUsAI | 2026-03-30T04:34:32Z | 991 | 3 | gguf | [
"gguf",
"llama",
"1b",
"text-generation",
"local-llm",
"llama-cpp",
"ollama",
"lm-studio",
"gpt4all",
"en",
"base_model:WithinUsAI/IBM-Grok4-UltraFastCoder-1B",
"base_model:quantized:WithinUsAI/IBM-Grok4-UltraFastCoder-1B",
"license:other",
"endpoints_compatible",
"region:us",
"convers... | text-generation | 2026-03-30T03:41:45Z | # Llama-3.2-OctoThinker-iNano-1B-GGUF
## Model Summary
**Llama-3.2-OctoThinker-iNano-1B-GGUF** is a compact GGUF release published by **gss1147** for local text generation and on-device inference workflows. The repository is currently listed on Hugging Face as a **GGUF** model with **1B parameters** and **llama** arc... | [] |
mradermacher/Violet-Starlight-12B-GGUF | mradermacher | 2026-01-29T12:16:04Z | 132 | 4 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Vortex5/Violet-Starlight-12B",
"base_model:quantized:Vortex5/Violet-Starlight-12B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-28T18:33:54Z | ## 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": 517,
"end": 542,
"text": "Violet-Starlight-12B-GGUF",
"label": "benchmark name",
"score": 0.6174716353416443
}
] |
google/timesfm-1.0-200m | google | 2024-05-17T17:29:47Z | 337 | 794 | timesfm | [
"timesfm",
"time-series-forecasting",
"arxiv:2310.10688",
"license:apache-2.0",
"region:us"
] | time-series-forecasting | 2024-05-03T05:15:35Z | # TimesFM
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
**Resources and Technical Documentation**:
* Paper: [A decoder-only foundation model for time-series forecasting](https://arxiv.org/abs/2310.10688), to appear in ICM... | [
{
"start": 2,
"end": 9,
"text": "TimesFM",
"label": "benchmark name",
"score": 0.7886418700218201
},
{
"start": 11,
"end": 18,
"text": "TimesFM",
"label": "benchmark name",
"score": 0.8186388611793518
},
{
"start": 495,
"end": 502,
"text": "timesfm",
"... |
kayte0342/chronoedit | kayte0342 | 2025-11-20T17:42:29Z | 496 | 4 | diffusers | [
"diffusers",
"safetensors",
"image editing",
"video generation",
"image-to-image",
"en",
"zh",
"arxiv:2510.04290",
"license:apache-2.0",
"diffusers:WanImageToVideoPipeline",
"region:us"
] | image-to-image | 2025-11-19T17:33:23Z | <p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/658529d61c461dfe88afe8e8/tto-qt1BmKdhObReEKBq2.png" width="400"/>
<p>
<p align="center">
💚 <a href="https://research.nvidia.com/labs/toronto-ai/chronoedit/"><b>ChronoEdit</b></a>    ｜    🖥️ <a href="https://... | [] |
kyutai/stt-1b-en_fr-trfs | kyutai | 2025-06-26T16:42:12Z | 3,412 | 12 | transformers | [
"transformers",
"safetensors",
"kyutai_speech_to_text",
"automatic-speech-recognition",
"audio",
"en",
"fr",
"arxiv:2410.00037",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2025-06-25T15:31:53Z | # Model Card for Kyutai STT
This repo is meant to use the model with [Transformers](https://github.com/huggingface/transformers) 🤗
Starting with `transformers >= 4.53.0` and above, you can now run Kyutai STT natively!
```bash
pip install -U transformers
```
Inference:
```python
import torch
from datasets import lo... | [] |
mradermacher/Forgotten-Safeword-70B-v5.0-heretic-i1-GGUF | mradermacher | 2026-03-11T00:00:08Z | 26,018 | 1 | transformers | [
"transformers",
"gguf",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:sh0ck0r/Forgotten-Safeword-70B-v5.0-heretic",
"base_model:quantized:sh0ck0r/Forgotten-Safeword-70B-v5.0-heretic",
"license:ll... | null | 2026-03-10T10:11:55Z | ## 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_... | [] |
LGAI-EXAONE/EXAONE-4.5-33B-AWQ | LGAI-EXAONE | 2026-04-29T17:45:12Z | 821 | 2 | transformers | [
"transformers",
"safetensors",
"exaone4_5",
"text-generation",
"lg-ai",
"exaone",
"image-text-to-text",
"conversational",
"en",
"ko",
"es",
"de",
"ja",
"vi",
"arxiv:2604.08644",
"base_model:LGAI-EXAONE/EXAONE-4.5-33B",
"base_model:quantized:LGAI-EXAONE/EXAONE-4.5-33B",
"license:oth... | image-text-to-text | 2026-04-22T15:17:43Z | <br>
<br>
<p align="center">
<img src="assets/EXAONE_Symbol+BI_3d.png" width="400">
<br>
<br>
<br>
<div align="center">
<a href="https://huggingface.co/collections/LGAI-EXAONE/exaone-45" style="text-decoration: none;">
<img src="https://img.shields.io/badge/🤗-HuggingFace-FC926C?style=for-the-badge" alt="Hugging... | [] |
Xenova/moondream2 | Xenova | 2025-07-30T22:51:57Z | 556 | 37 | transformers.js | [
"transformers.js",
"onnx",
"moondream1",
"image-text-to-text",
"base_model:vikhyatk/moondream2",
"base_model:quantized:vikhyatk/moondream2",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2024-03-25T14:56:18Z | https://huggingface.co/vikhyatk/moondream2 with ONNX weights to be compatible with Transformers.js.
## Usage (Transformers.js)
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transforme... | [] |
openai/clip-vit-base-patch16 | openai | 2022-10-04T09:42:28Z | 2,009,989 | 154 | transformers | [
"transformers",
"pytorch",
"jax",
"clip",
"zero-shot-image-classification",
"vision",
"arxiv:2103.00020",
"arxiv:1908.04913",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2022-03-02T23:29:05Z | # Model Card: CLIP
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found [here](https://github.com/openai/CLIP/blob/main/model-card.md).
## Model Details
The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer vision... | [] |
facebook/mms-1b-l1107 | facebook | 2023-06-05T10:23:13Z | 577 | 12 | transformers | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"mms",
"ab",
"af",
"ak",
"am",
"ar",
"as",
"av",
"ay",
"az",
"ba",
"bm",
"be",
"bn",
"bi",
"bo",
"sh",
"br",
"bg",
"ca",
"cs",
"ce",
"cv",
"ku",
"cy",
"da",
"de",
"dv... | automatic-speech-recognition | 2023-05-27T12:19:55Z | # Massively Multilingual Speech (MMS) - Finetuned ASR - L1107
This checkpoint is a model fine-tuned for multi-lingual ASR and part of Facebook's [Massive Multilingual Speech project](https://research.facebook.com/publications/scaling-speech-technology-to-1000-languages/).
This checkpoint is based on the [Wav2Vec2 arch... | [] |
AI-Growth-Lab/PatentSBERTa | AI-Growth-Lab | 2023-02-16T18:25:30Z | 15,144 | 54 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"mpnet",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:2103.11933",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | sentence-similarity | 2022-03-02T23:29:04Z | # PatentSBERTa
## PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERT
### Aalborg University Business School, AI: Growth-Lab
https://arxiv.org/abs/2103.11933
https://github.com/AI-Growth-Lab/PatentSBERTa
This is a [sentence-transformers](https://www.SBERT.net... | [] |
deepseek-ai/deepseek-coder-7b-base-v1.5 | deepseek-ai | 2024-02-04T15:21:28Z | 536 | 49 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-01-25T15:39:50Z | <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... | [] |
stepfun-ai/Step-3.5-Flash-GGUF-Q4_K_S | stepfun-ai | 2026-02-13T06:53:50Z | 38,700 | 140 | transformers | [
"transformers",
"gguf",
"step3p5",
"text-generation",
"custom_code",
"arxiv:2602.10604",
"arxiv:2601.05593",
"arxiv:2507.19427",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-02-01T08:13:41Z | # Step 3.5 Flash
<div align="center">
<div align="center" style="display: flex; justify-content: center; align-items: center;">
<img src="stepfun.svg" width="25" style="margin-right: 10px;"/>
<h1 style="margin: 0; border-bottom: none;">Step 3.5 Flash</h1>
</div>
[![GitHub](https://img.shields.io/badge/GitHub-1... | [] |
microsoft/Dayhoff-3b-UR90 | microsoft | 2026-01-26T17:17:10Z | 204 | 2 | transformers | [
"transformers",
"safetensors",
"jamba",
"text-generation",
"protein-generation",
"dataset:microsoft/Dayhoff",
"arxiv:2502.12479",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-07-04T18:20:27Z | # Model Card for Dayhoff
Dayhoff is an Atlas of both protein sequence data and generative language models — a centralized resource that brings together 3.34 billion protein sequences across 1.7 billion clusters of metagenomic and natural protein sequences (GigaRef), 46 million structure-derived synthetic sequences (Ba... | [] |
bartowski/Mistral-Large-Instruct-2407-GGUF | bartowski | 2024-08-27T21:48:27Z | 1,448 | 36 | null | [
"gguf",
"text-generation",
"en",
"fr",
"de",
"es",
"it",
"pt",
"zh",
"ja",
"ru",
"ko",
"base_model:mistralai/Mistral-Large-Instruct-2407",
"base_model:quantized:mistralai/Mistral-Large-Instruct-2407",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversationa... | text-generation | 2024-07-24T17:18:00Z | ## Llamacpp imatrix Quantizations of Mistral-Large-Instruct-2407
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3634">b3634</a> for quantization.
Original model: https://huggingface.co/mistralai/Mistral-Large-Instruct-2407
A... | [] |
mradermacher/Qwen3.5-9B-Claude-4.6-HighIQ-THINKING-i1-GGUF | mradermacher | 2026-03-04T13:36:06Z | 3,914 | 5 | transformers | [
"transformers",
"gguf",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres",
"story",
"writing",
"vivid prosing",
... | null | 2026-03-04T12:49:22Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 463,
"end": 500,
"text": "Qwen3.5-9B-Claude-4.6-HighIQ-THINKING",
"label": "benchmark name",
"score": 0.6796018481254578
},
{
"start": 637,
"end": 682,
"text": "Qwen3.5-9B-Claude-4.6-HighIQ-THINKING-i1-GGUF",
"label": "benchmark name",
"score": 0.75191664695739... |
litert-community/Phi-4-mini-instruct | litert-community | 2025-09-22T17:56:44Z | 2,934 | 14 | litert-lm | [
"litert-lm",
"tflite",
"chat",
"text-generation",
"base_model:microsoft/Phi-4-mini-instruct",
"base_model:finetune:microsoft/Phi-4-mini-instruct",
"license:mit",
"region:us"
] | text-generation | 2025-03-05T21:37:25Z | # litert-community/Phi-4-mini-instruct
This model provides a few variants of
[microsoft/Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct) that are ready for
deployment on Android using the
[LiteRT (fka TFLite) stack](https://ai.google.dev/edge/litert),
[MediaPipe LLM Inference API](https://ai.... | [] |
mradermacher/IQuest-Coder-V1-40B-Instruct-GGUF | mradermacher | 2026-01-02T03:00:04Z | 360 | 10 | transformers | [
"transformers",
"gguf",
"en",
"base_model:IQuestLab/IQuest-Coder-V1-40B-Instruct",
"base_model:quantized:IQuestLab/IQuest-Coder-V1-40B-Instruct",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-01T21:31:37Z | ## 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... | [] |
Polygl0t/Tucano2-qwen-1.5B-Instruct | Polygl0t | 2026-03-05T08:48:04Z | 407 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"text-generation-inference",
"conversational",
"pt",
"dataset:Polygl0t/gigaverbo-v2-sft",
"dataset:Polygl0t/gigaverbo-v2-preferences",
"arxiv:2603.03543",
"base_model:Polygl0t/Tucano2-qwen-1.5B-Base",
"base_model:finetune:Polygl0t/Tuca... | text-generation | 2026-02-05T15:02:29Z | # Tucano2-qwen-1.5B-Instruct
<img src="./logo.png" alt="An illustration of a Tucano bird showing vibrant colors like yellow, orange, blue, green, and black." height="200">
## Model Summary
**[Tucano2-qwen-1.5B-Instruct](https://huggingface.co/Polygl0t/Tucano2-qwen-1.5B-Instruct)** is an instruction-tuned Portuguese ... | [] |
TheCluster/Qwen3.5-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-MLX-mxfp8 | TheCluster | 2026-03-16T03:12:52Z | 524 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"uncensored",
"abliterated",
"heretic",
"nsfw",
"unsloth",
"fine tune",
"all use cases",
"coder",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
... | image-text-to-text | 2026-03-16T01:22:12Z | <small><b><font color="red">WARNING:</font></B> This model has character and intelligence. Uncensored,
Unfiltered and boldly confident. Not even remotely "SFW", if you ask it for NSFW content. And it is wickedly smart too.</small>
# Qwen3.5-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking
**Quality**: quantiz... | [] |
soda-research/soda-135m-base | soda-research | 2026-02-19T06:10:39Z | 812 | 2 | null | [
"safetensors",
"qwen3",
"audio",
"speech",
"foundation-model",
"next-token-prediction",
"tts",
"asr",
"speech-continuation",
"en",
"dataset:soda-research/yodas2-mm-pretrain",
"dataset:soda-research/emilia-mm-pretrain",
"arxiv:2602.16687",
"license:apache-2.0",
"region:us"
] | null | 2026-01-18T18:19:35Z | # 🥤 SODA-135M-base
**SODA** (**S**caling **O**pen **D**iscrete **A**udio) is a suite of discrete audio foundation models trained from scratch using next-token prediction on interleaved semantic, acoustic, and text tokens.
Built on [Marin](https://github.com/marin-community/marin), SODA started with a simple question... | [] |
bartowski/Qwen_Qwen3-VL-4B-Instruct-GGUF | bartowski | 2025-10-30T19:25:49Z | 4,037 | 4 | null | [
"gguf",
"image-text-to-text",
"base_model:Qwen/Qwen3-VL-4B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-4B-Instruct",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-10-14T19:37:39Z | ## Llamacpp imatrix Quantizations of Qwen3-VL-4B-Instruct by Qwen
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b6888">b6888</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct
All quants mad... | [] |
mradermacher/LFM2.5-4E-A2.4B-Abliterated-i1-GGUF | mradermacher | 2026-03-05T07:37:47Z | 1,637 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:blascotobasco/LFM2.5-4E-A2.4B-Abliterated",
"base_model:quantized:blascotobasco/LFM2.5-4E-A2.4B-Abliterated",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-05T06:05:26Z | ## 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": 469,
"end": 496,
"text": "LFM2.5-4E-A2.4B-Abliterated",
"label": "benchmark name",
"score": 0.61857670545578
},
{
"start": 633,
"end": 668,
"text": "LFM2.5-4E-A2.4B-Abliterated-i1-GGUF",
"label": "benchmark name",
"score": 0.7344298958778381
},
{
"start... |
prithivMLmods/Polaris-VGA-2B-Post1.0 | prithivMLmods | 2026-03-27T12:04:53Z | 410 | 1 | transformers | [
"transformers",
"safetensors",
"gguf",
"qwen3_5",
"image-text-to-text",
"text-generation-inference",
"object-detection",
"localization",
"grounding",
"visual-grounding-anything",
"vllm",
"opencv-python",
"vlm",
"llama.cpp",
"conversational",
"en",
"base_model:Qwen/Qwen3.5-2B",
"bas... | image-text-to-text | 2026-03-23T15:24:29Z | 
# **Polaris-VGA-2B-Post1.0**
> **Polaris-VGA-2B-Post1.0** is a post-optimized evolution built on top of **Qwen/Qwen3.5-2B**, designed to extend compact language modeling into the domain of **VGA (Visual Gro... | [] |
MongoDB/mdbr-leaf-mt | MongoDB | 2025-09-29T23:57:56Z | 14,555 | 25 | sentence-transformers | [
"sentence-transformers",
"onnx",
"safetensors",
"bert",
"feature-extraction",
"transformers",
"sentence-similarity",
"text-embeddings-inference",
"information-retrieval",
"knowledge-distillation",
"transformers.js",
"en",
"arxiv:2509.12539",
"arxiv:2205.13147",
"license:apache-2.0",
"e... | feature-extraction | 2025-08-12T23:31:50Z | <div style="display: flex; justify-content: center;">
<div style="display: flex; align-items: center; gap: 10px;">
<img src="logo.webp" alt="MongoDB Logo" style="height: 36px; width: auto; border-radius: 4px;">
<span style="font-size: 32px; font-weight: bold">MongoDB/mdbr-leaf-m... | [] |
zai-org/GLM-4.5-FP8 | zai-org | 2025-08-12T03:09:21Z | 913 | 78 | transformers | [
"transformers",
"safetensors",
"glm4_moe",
"text-generation",
"moe",
"fp8",
"conversational",
"en",
"zh",
"arxiv:2508.06471",
"license:mit",
"endpoints_compatible",
"compressed-tensors",
"deploy:azure",
"region:us"
] | text-generation | 2025-07-20T03:29:41Z | # GLM-4.5-FP8
[📚 Paper](https://huggingface.co/papers/2508.06471) | [💻 Code](https://github.com/zai-org/GLM-4.5) | [🌐 Project Page](https://z.ai/blog/glm-4.5)
<div align="center">
<img src=https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/logo.svg width="15%"/>
</div>
<p align="center">
... | [] |
Wan-AI/Wan2.2-I2V-A14B-Diffusers | Wan-AI | 2025-08-09T03:33:59Z | 95,250 | 212 | diffusers | [
"diffusers",
"safetensors",
"image-to-video",
"en",
"zh",
"arxiv:2503.20314",
"license:apache-2.0",
"diffusers:WanImageToVideoPipeline",
"region:us"
] | image-to-video | 2025-07-28T09:05:18Z | # Wan2.2
<p align="center">
<img src="assets/logo.png" width="400"/>
<p>
<p align="center">
💜 <a href="https://wan.video"><b>Wan</b></a>    ｜    🖥️ <a href="https://github.com/Wan-Video/Wan2.2">GitHub</a>    |   🤗 <a href="https://huggingface.co/Wan-AI/">Hugging Face</a>&nb... | [] |
mradermacher/PyVision-Image-7B-SFT-GGUF | mradermacher | 2026-03-01T16:07:06Z | 711 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Agents-X/PyVision-Image-7B-SFT",
"base_model:quantized:Agents-X/PyVision-Image-7B-SFT",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-01T06:58:29Z | ## 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... | [] |
MiniMaxAI/MiniMax-M2.7 | MiniMaxAI | 2026-04-20T04:28:14Z | 314,205 | 1,010 | transformers | [
"transformers",
"safetensors",
"minimax_m2",
"text-generation",
"conversational",
"custom_code",
"license:other",
"eval-results",
"endpoints_compatible",
"fp8",
"region:us"
] | text-generation | 2026-04-09T03:37:12Z | <div align="center">
<svg width="60%" height="auto" viewBox="0 0 144 48" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M26.6782 7.96523C26.6782 7.02436 25.913 6.26087 24.9739 6.26087C24.0348 6.26087 23.2695 7.0261 23.2695 7.96523V36.2139C23.2695 38.4 21.4904 40.1791 19.3043 40.1791C17.1183 40.1791 15.3391 3... | [] |
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