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 |
|---|---|---|---|---|---|---|---|---|---|---|
tokyotech-llm/GPT-OSS-Swallow-20B-SFT-v0.1 | tokyotech-llm | 2026-02-20T12:43:47Z | 2,106 | 5 | transformers | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"conversational",
"en",
"ja",
"dataset:tokyotech-llm/swallow-math-v2",
"dataset:tokyotech-llm/swallow-code-v2",
"dataset:tokyotech-llm/Swallow-Nemotron-Post-Training-Dataset-v1",
"dataset:tokyotech-llm/lmsys-chat-1m-synth",
"arxiv:25... | text-generation | 2026-01-27T23:46:08Z | # GPT-OSS-Swallow
**GPT-OSS-Swallow v0.1** is a family of large language models available in **20B** and **120B** parameter sizes. Built as bilingual Japanese-English models, they were developed through Continual Pre-Training (CPT), Supervised Fine-Tuning (SFT), and Reinforcement Learnin... | [] |
nvidia/mit-b5 | nvidia | 2022-08-06T10:25:24Z | 6,329 | 14 | transformers | [
"transformers",
"pytorch",
"tf",
"segformer",
"image-classification",
"vision",
"dataset:imagenet_1k",
"arxiv:2105.15203",
"license:other",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-classification | 2022-03-02T23:29:05Z | # SegFormer (b5-sized) encoder pre-trained-only
SegFormer encoder fine-tuned on Imagenet-1k. It was introduced in the paper [SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers](https://arxiv.org/abs/2105.15203) by Xie et al. and first released in [this repository](https://github.com/NVl... | [
{
"start": 670,
"end": 676,
"text": "ADE20K",
"label": "benchmark name",
"score": 0.893222987651825
},
{
"start": 681,
"end": 691,
"text": "Cityscapes",
"label": "benchmark name",
"score": 0.8176406025886536
}
] |
protectai/deberta-v3-base-prompt-injection | protectai | 2025-05-30T10:27:02Z | 72,130 | 102 | transformers | [
"transformers",
"onnx",
"safetensors",
"deberta-v2",
"text-classification",
"prompt-injection",
"injection",
"security",
"generated_from_trainer",
"en",
"dataset:Lakera/gandalf_ignore_instructions",
"dataset:rubend18/ChatGPT-Jailbreak-Prompts",
"dataset:imoxto/prompt_injection_cleaned_datase... | text-classification | 2023-11-25T08:09:08Z | # Model Card for deberta-v3-base-prompt-injection
**There is a newer version of the model - [protectai/deberta-v3-base-prompt-injection-v2](https://huggingface.co/protectai/deberta-v3-base-prompt-injection-v2).**
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/debert... | [] |
alibaba-pai/Wan2.2-VACE-Fun-A14B | alibaba-pai | 2025-12-11T02:28:27Z | 1,653 | 108 | videox_fun | [
"videox_fun",
"diffusers",
"safetensors",
"video",
"video-generation",
"wan2.2",
"text-to-video",
"en",
"zh",
"base_model:Wan-AI/Wan2.2-T2V-A14B",
"base_model:finetune:Wan-AI/Wan2.2-T2V-A14B",
"license:apache-2.0",
"region:us"
] | text-to-video | 2025-09-10T06:30:42Z | # Wan-Fun
😊 Welcome!
[](https://huggingface.co/spaces/alibaba-pai/Wan2.1-Fun-1.3B-InP)
[](https://github.com/aigc-apps/VideoX-Fun)
[English](./README_en.md) |... | [] |
mradermacher/Think2Seg-RS-7B-i1-GGUF | mradermacher | 2025-12-10T22:11:07Z | 100 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:earth-insights/EarthReason",
"base_model:RicardoString/Think2Seg-RS-7B",
"base_model:quantized:RicardoString/Think2Seg-RS-7B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-23T13:10:58Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 621,
"end": 644,
"text": "Think2Seg-RS-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.7014917731285095
},
{
"start": 718,
"end": 738,
"text": "Think2Seg-RS-7B-GGUF",
"label": "benchmark name",
"score": 0.6257662177085876
},
{
"start": 860,
"end"... |
IDEA-CCNL/Erlangshen-Roberta-330M-Sentiment | IDEA-CCNL | 2023-05-26T04:13:11Z | 3,410 | 40 | transformers | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"roberta",
"NLU",
"Sentiment",
"Chinese",
"zh",
"arxiv:2209.02970",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-04-20T07:15:44Z | # Erlangshen-Roberta-330M-Sentiment
- Main Page:[Fengshenbang](https://fengshenbang-lm.com/)
- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
## 简介 Brief Introduction
中文的RoBERTa-wwm-ext-large在数个情感分析任务微调后的版本
This is the fine-tuned version of the Chinese RoBERTa-wwm-ext-large model on several... | [] |
DavidAU/Qwen3.5-40B-Claude-4.5-Opus-High-Reasoning-Thinking | DavidAU | 2026-03-18T02:10:12Z | 916 | 34 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"unsloth",
"fine tune",
"all use cases",
"coder",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"sci... | image-text-to-text | 2026-03-12T07:38:00Z | <small><font color="red">IMPORTANT:</font> This model has an upgraded Jinja template which repairs issues with org model (repeats, long thinking, loops) and upgrades/repairs to tool handling.</small>
<h2>Qwen3.5-40B-Claude-4.5-Opus-High-Reasoning-Thinking</h2>
<img src="Borg_cube_ship_over_earth.webp" style="float:r... | [] |
Tongyi-MAI/MAI-UI-2B | Tongyi-MAI | 2025-12-29T04:17:48Z | 1,392 | 48 | null | [
"safetensors",
"qwen3_vl",
"license:apache-2.0",
"region:us"
] | null | 2025-12-25T03:53:07Z | # MAI-UI: Real-World Centric Foundation GUI Agents.
## 📖 Background
The development of GUI agents could revolutionize the next generation of human-computer interaction. Motivated by this vision, we pr... | [
{
"start": 1220,
"end": 1234,
"text": "MMBench GUI L2",
"label": "benchmark name",
"score": 0.6214680671691895
}
] |
PKUDigitalHealth/ECG-R1-8B-RL | PKUDigitalHealth | 2026-02-09T02:40:10Z | 273 | 2 | null | [
"safetensors",
"qwen3_vl",
"medical",
"ecg",
"multimodal",
"reasoning",
"image-text-to-text",
"conversational",
"en",
"dataset:PKUDigitalHealth/ECG-Protocol-Guided-Grounding-CoT",
"arxiv:2602.04279",
"base_model:Qwen/Qwen3-VL-8B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-8B-Instruct",
"... | image-text-to-text | 2026-02-03T09:48:12Z | <div align="center">
<h1> ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation </h1>
<h5 align="center"> If you find this project useful, please give us a star🌟.
<h5 align="center">
<a href='https://arxiv.org/pdf/2602.04279'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a... | [] |
CelesteImperia/Gemma-4-26B-MoE-GGUF | CelesteImperia | 2026-04-05T14:05:57Z | 2,666 | 1 | null | [
"safetensors",
"gguf",
"gemma-4",
"moe",
"128-experts",
"128k-context",
"i-matrix",
"celeste-imperia",
"platinum-series",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-04-04T12:07:39Z | # Celeste-Gemma-4-26B-MoE-Platinum-GGUF (Platinum Series)
[](https:... | [] |
codelion/SmolLM2-70M | codelion | 2026-03-08T14:30:38Z | 223 | 3 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"pretraining",
"educational",
"pedagogical",
"sutra",
"smollm2",
"en",
"dataset:codelion/sutra-10B",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-02T00:26:16Z | # SmolLM2-70M
A SmolLM2-70M model pretrained on the [Sutra-10B](https://huggingface.co/datasets/codelion/sutra-10B) pedagogical dataset for 3 epochs (~30.6B tokens total). This model demonstrates that a 69M parameter model can be trained to near-capacity performance using dense, curated educational data.
## Model Det... | [
{
"start": 54,
"end": 63,
"text": "Sutra-10B",
"label": "benchmark name",
"score": 0.6872715950012207
},
{
"start": 594,
"end": 605,
"text": "SmolLM2-70M",
"label": "benchmark name",
"score": 0.6579701900482178
},
{
"start": 681,
"end": 690,
"text": "Sutra... |
linosium/gemma4-4b-sci | linosium | 2026-04-13T21:03:41Z | 412 | 2 | gguf | [
"gguf",
"safetensors",
"gemma4",
"gemma",
"gemma-4",
"scientific",
"science",
"research",
"qlora",
"unsloth",
"ollama",
"openscholar",
"sciriff",
"text-generation",
"conversational",
"en",
"dataset:OpenSciLM/OS_Train_Data",
"dataset:allenai/SciRIFF-train-mix",
"base_model:unsloth... | text-generation | 2026-04-12T08:48:21Z | # gemma4-4b-sci
> [!WARNING]
> **Work in Progress.** This model is an early-stage research experiment. It has been trained for only 600 steps on a small subset of the available data, has received no formal benchmark evaluation, and should not be relied upon for any critical purpose. Expect rough edges, hallucinations,... | [] |
nectec/Pathumma-whisper-th-large-v3 | nectec | 2025-05-22T16:59:20Z | 1,684 | 10 | transformers | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"th",
"en",
"base_model:openai/whisper-large-v3",
"base_model:finetune:openai/whisper-large-v3",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2024-10-24T03:41:43Z | # Pathumma Whisper Large V3 (Th)
## Model Description
Additional information is needed
## Quickstart
You can transcribe audio files using the [`pipeline`](https://huggingface.co/docs/transformers/main_classes/pipelines#transformers.AutomaticSpeechRecognitionPipeline) class with the following code snippet:
```python
i... | [
{
"start": 858,
"end": 880,
"text": "Evaluation Performance",
"label": "evaluation metric",
"score": 0.6975693106651306
}
] |
mradermacher/Llama-3.3-8B-Instruct-128K-PaperWitch-heresy-GGUF | mradermacher | 2026-02-23T07:27:44Z | 124 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:MuXodious/Llama-3.3-8B-Instruct-128K-PaperWitch-heresy",
"base_model:quantized:MuXodious/Llama-3.3-8B-Instruct-128K-PaperWitch-heresy",
"license:llama3.3",
"endpoints_compatible",
"region:us",
"co... | null | 2026-02-22T19:07:58Z | ## 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... | [] |
amd/GLM-5-MXFP4 | amd | 2026-04-09T21:37:10Z | 8,812 | 3 | null | [
"safetensors",
"glm_moe_dsa",
"base_model:zai-org/GLM-5",
"base_model:quantized:zai-org/GLM-5",
"license:mit",
"8-bit",
"quark",
"region:us"
] | null | 2026-02-12T11:38:35Z | # Model Overview
- **Model Architecture:** GLM-5
- **Input:** Text
- **Output:** Text
- **Supported Hardware Microarchitecture:** AMD MI350/MI355
- **ROCm:** 7.1.0
- **PyTorch:** 2.9.1
- **Transformers:** 5.0.2.dev0
- **Operating System(s):** Linux
- **Inference Engine:** [vLLM](https://docs.vllm.ai/en/latest/)
- ... | [] |
nasa-impact/nasa-smd-ibm-v0.1 | nasa-impact | 2024-10-11T02:15:20Z | 165 | 35 | transformers | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"earth science",
"climate",
"biology",
"en",
"dataset:nasa-impact/nasa-smd-IR-benchmark",
"dataset:nasa-impact/nasa-smd-qa-benchmark",
"dataset:ibm/Climate-Change-NER",
"arxiv:2405.10725",
"doi:10.57967/hf/1429",
"license:apache-2.0",
"e... | fill-mask | 2023-12-04T18:07:32Z | # Model Card for Indus (nasa-smd-ibm-v0.1)
Indus (previously known as nasa-smd-ibm-v0.1) is a RoBERTa-based, Encoder-only transformer model, domain-adapted for NASA Science Mission Directorate (SMD) applications. It's fine-tuned on scientific journals and articles relevant to NASA SMD, aiming to enhance natural langua... | [
{
"start": 1409,
"end": 1419,
"text": "Macro avg.",
"label": "evaluation metric",
"score": 0.6991398334503174
},
{
"start": 1449,
"end": 1459,
"text": "micro avg.",
"label": "evaluation metric",
"score": 0.6486698985099792
},
{
"start": 1545,
"end": 1563,
... |
mradermacher/KansenSakura-Eclipse-RP-12b-GGUF | mradermacher | 2025-09-09T18:46:15Z | 146 | 3 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"frankenmerge",
"roleplay",
"conversational",
"nsfw",
"en",
"base_model:Retreatcost/KansenSakura-Eclipse-RP-12b",
"base_model:quantized:Retreatcost/KansenSakura-Eclipse-RP-12b",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-08-24T23:47:22Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static qu... | [] |
mradermacher/JarvisArt-1208-i1-GGUF | mradermacher | 2025-12-08T15:52:38Z | 213 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:JarvisArt/JarvisArt-1208",
"base_model:quantized:JarvisArt/JarvisArt-1208",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-08T15:30:15Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mrm8488/phi-2-coder | mrm8488 | 2024-02-22T18:18:43Z | 589 | 28 | transformers | [
"transformers",
"safetensors",
"phi-msft",
"text-generation",
"generated_from_trainer",
"code",
"coding",
"phi-2",
"phi2",
"mlx",
"custom_code",
"dataset:HuggingFaceH4/CodeAlpaca_20K",
"doi:10.57967/hf/1518",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2023-12-24T09:49:30Z | <div style="text-align:center;width:250px;height:250px;">
<img src="https://huggingface.co/mrm8488/phi-2-coder/resolve/main/phi-2-coder-logo.png" alt="phi-2 coder logo"">
</div>
# Phi-2 Coder 👩💻
**Phi-2** fine-tuned on the **CodeAlpaca 20k instructions dataset** by using the method **QLoRA** with [PEFT](https:... | [] |
batiai/Gemma-4-26B-A4B-it-GGUF | batiai | 2026-05-04T17:00:43Z | 12,114 | 2 | llama.cpp | [
"llama.cpp",
"gguf",
"gemma",
"gemma4",
"moe",
"quantized",
"imatrix",
"apple-silicon",
"ollama",
"batiai",
"on-device",
"vision",
"multimodal",
"text-generation",
"en",
"ko",
"ja",
"zh",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:quantized:google/gemma-4-26B-A4B-it",
... | text-generation | 2026-04-07T01:57:59Z | # Gemma 4 26B-A4B-it GGUF — Quantized by BatiAI
<p align="center">
<a href="https://flow.bati.ai"><img src="https://img.shields.io/badge/BatiFlow-macOS%20AI%20Automation-blue?style=for-the-badge&logo=apple" alt="BatiFlow"></a>
<a href="https://ollama.com/batiai/gemma4-26b"><img src="https://img.shields.io/badge/Ol... | [] |
Qwen/Qwen3Guard-Stream-4B | Qwen | 2025-11-07T07:34:37Z | 300 | 21 | transformers | [
"transformers",
"safetensors",
"qwen3",
"feature-extraction",
"custom_code",
"arxiv:2510.14276",
"base_model:Qwen/Qwen3-4B",
"base_model:finetune:Qwen/Qwen3-4B",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2025-09-23T11:49:13Z | # Qwen3Guard-Stream-4B
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3Guard/Qwen3Guard_logo.png" width="400"/>
<p>
**Qwen3Guard** is a series of safety moderation models built upon Qwen3 and trained on a dataset of 1.19 million prompts and responses labeled for safety. The serie... | [] |
onnx-community/gte-multilingual-base | onnx-community | 2024-10-08T13:53:56Z | 15,670 | 13 | transformers.js | [
"transformers.js",
"onnx",
"new",
"feature-extraction",
"custom_code",
"base_model:Alibaba-NLP/gte-multilingual-base",
"base_model:quantized:Alibaba-NLP/gte-multilingual-base",
"region:us"
] | feature-extraction | 2024-08-15T22:55:53Z | https://huggingface.co/Alibaba-NLP/gte-multilingual-base 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/@huggingfa... | [] |
inclusionAI/Ring-1T-FP8 | inclusionAI | 2025-10-28T11:45:56Z | 251 | 19 | transformers | [
"transformers",
"safetensors",
"text-generation",
"conversational",
"custom_code",
"arxiv:2510.18855",
"license:mit",
"compressed-tensors",
"region:us"
] | text-generation | 2025-10-11T20:02:44Z | # Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model
This repository presents **Ring-1T**, an open-source, state-of-the-art thinking model with a trillion-scale parameter, as detailed in the paper [Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model](h... | [] |
unsloth/gemma-4-E4B-it-unsloth-bnb-4bit | unsloth | 2026-04-07T15:48:25Z | 6,714 | 9 | null | [
"safetensors",
"gemma4",
"unsloth",
"gemma",
"google",
"image-text-to-text",
"conversational",
"base_model:google/gemma-4-E4B-it",
"base_model:quantized:google/gemma-4-E4B-it",
"license:apache-2.0",
"4-bit",
"bitsandbytes",
"region:us"
] | image-text-to-text | 2026-04-02T19:01:27Z | # Read our How to [Run Gemma 4 Guide!](https://docs.unsloth.ai/models/gemma-4)
<div>
<p style="margin-top: 0;margin-bottom: 0;">
<em>See <a href="https://unsloth.ai/docs/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0 GGUFs</a> for our quantization benchmarks.</em>
</p>
<div style="display: flex; gap: 5px... | [
{
"start": 70,
"end": 77,
"text": "gemma-4",
"label": "benchmark name",
"score": 0.6428424715995789
},
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"end": 722,
"text": "gemma-4",
"label": "benchmark name",
"score": 0.6646020412445068
},
{
"start": 1034,
"end": 1041,
"text": "gemma-4",... |
stepfun-ai/PaCoRe-8B | stepfun-ai | 2026-01-14T07:22:44Z | 597 | 46 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2601.05593",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-09T06:52:38Z | # PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning
<div align="center">
[**Read the Paper**](https://arxiv.org/abs/2601.05593) | [**GitHub Repository**](https://github.com/stepfun-ai/PaCoRe) | [**Download Models**](https://huggingface.co/stepfun-ai/PaCoRe-8B) | [**Training Data**](https... | [] |
mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF | mradermacher | 2025-12-28T20:04:23Z | 149 | 1 | transformers | [
"transformers",
"gguf",
"facebook",
"meta",
"pythorch",
"llama",
"llama-3",
"llamantino",
"en",
"it",
"dataset:gsarti/clean_mc4_it",
"dataset:Chat-Error/wizard_alpaca_dolly_orca",
"dataset:mlabonne/orpo-dpo-mix-40k",
"base_model:swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA",
"base_model... | null | 2025-09-06T10:58:47Z | ## 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": 636,
"end": 678,
"text": "LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF",
"label": "benchmark name",
"score": 0.6115803122520447
}
] |
bartowski/Qwen2.5-32b-RP-Ink-GGUF | bartowski | 2024-12-31T00:02:14Z | 6,657 | 8 | null | [
"gguf",
"roleplay",
"conversational",
"text-generation",
"en",
"base_model:allura-org/Qwen2.5-32b-RP-Ink",
"base_model:quantized:allura-org/Qwen2.5-32b-RP-Ink",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix"
] | text-generation | 2024-12-30T22:20:25Z | ## Llamacpp imatrix Quantizations of Qwen2.5-32b-RP-Ink
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4381">b4381</a> for quantization.
Original model: https://huggingface.co/allura-org/Qwen2.5-32b-RP-Ink
All quants made us... | [] |
NousResearch/Hermes-4-14B | NousResearch | 2026-01-09T12:26:18Z | 4,251 | 125 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"Qwen-3-14B",
"instruct",
"finetune",
"reasoning",
"hybrid-mode",
"chatml",
"function calling",
"tool use",
"json mode",
"structured outputs",
"atropos",
"dataforge",
"long context",
"roleplaying",
"chat",
"conversation... | text-generation | 2025-08-30T20:12:05Z | # Hermes 4 — Qwen 3 14B
[\ud83d\udcda Paper (Hugging Face)](https://huggingface.co/papers/2508.18255) | [\ud83d\udcda Paper (arXiv)](https://arxiv.org/abs/2508.18255) | [\ud83c\udf10 Project Page](https://huggingface.co/collections/NousResearch/hermes-4-collection-68a731bfd452e20816725728) | [\ud83d\udcbb GitHub Repos... | [] |
LiquidAI/LFM2-1.2B-Extract | LiquidAI | 2026-03-30T13:50:07Z | 1,416 | 107 | transformers | [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"liquid",
"edge",
"conversational",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"arxiv:2511.23404",
"base_model:LiquidAI/LFM2-1.2B",
"base_model:finetune:LiquidAI/LFM2-1.2B",
"license:other",
"endpoints_compatible",
... | text-generation | 2025-08-22T23:09:11Z | <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>
<... | [] |
mradermacher/Qwen3-4B-Thinking-2507-Gemini-3-Pro-Preview-High-Reasoning-Distill-Heretic-Abliterated-GGUF | mradermacher | 2025-12-10T17:52:25Z | 265 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"en",
"base_model:DavidAU/Qwen3-4B-Thinking-2507-Gemini-3-Pro-Preview-High-Reasoning-Distill-Heretic-Abliterated",
"base_model:quantized:DavidAU/Qwen3-4B-Thinking-2507-Gemini-3-Pro-Preview-High-Reasoning-Dist... | null | 2025-12-10T07:57:46Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/qwen3.5-9B-dggirl-merged-GGUF | mradermacher | 2026-03-12T19:54:21Z | 672 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:JeanLima2024/qwen3.5-9B-dggirl-merged",
"base_model:quantized:JeanLima2024/qwen3.5-9B-dggirl-merged",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-12T19:18:26Z | ## 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... | [] |
facebook/mask2former-swin-large-mapillary-vistas-semantic | facebook | 2023-09-11T20:45:32Z | 15,463 | 9 | transformers | [
"transformers",
"pytorch",
"safetensors",
"mask2former",
"vision",
"image-segmentation",
"dataset:coco",
"arxiv:2112.01527",
"arxiv:2107.06278",
"license:other",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | image-segmentation | 2023-01-05T00:46:58Z | # Mask2Former
Mask2Former model trained on Mapillary Vistas semantic segmentation (large-sized version, Swin backbone). It was introduced in the paper [Masked-attention Mask Transformer for Universal Image Segmentation
](https://arxiv.org/abs/2112.01527) and first released in [this repository](https://github.com/faceb... | [] |
WithinUsAI/Hunyuan-Python.GOD-0.5B-GGUF | WithinUsAI | 2026-03-24T09:11:43Z | 490 | 7 | transformers | [
"transformers",
"gguf",
"hunyuan",
"python",
"code-generation",
"code-assistant",
"instruct",
"conversational",
"causal-lm",
"full-finetune",
"text-generation",
"en",
"dataset:WithinUsAI/Python_GOD_Coder_Omniforge_AI_12k",
"dataset:WithinUsAI/Python_GOD_Coder_5k",
"dataset:WithinUsAI/Leg... | text-generation | 2026-03-24T08:53:47Z | # Hunyuan-PythonGOD-0.5B-GGUF
**Hunyuan-PythonGOD-0.5B-GGUF** is a compact Python-specialized coding model released in GGUF format for lightweight local inference. It is derived from a full fine-tune of `tencent/Hunyuan-0.5B-Instruct` and is aimed at code generation, Python scripting, debugging help, implementation ta... | [] |
QuantFactory/NVIDIA-Nemotron-Nano-9B-v2-GGUF | QuantFactory | 2025-08-30T08:49:17Z | 559 | 4 | transformers | [
"transformers",
"gguf",
"nvidia",
"pytorch",
"text-generation",
"en",
"es",
"fr",
"de",
"it",
"ja",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v1",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v2",
"dataset:nvidia/Nemotron-Pretraining-Dataset-sample",
"dataset:nvidia/Nemotron-CC-v2... | text-generation | 2025-08-30T08:00:34Z | ---
license: other
license_name: nvidia-open-model-license
license_link: >-
https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
pipeline_tag: text-generation
datasets:
- nvidia/Nemotron-Post-Training-Dataset-v1
- nvidia/Nemotron-Post-Training-Dataset-v2
- nvidia/Nemotron-Pretrainin... | [] |
bartowski/OpenGVLab_InternVL3_5-2B-GGUF | bartowski | 2025-08-26T03:46:41Z | 1,549 | 3 | null | [
"gguf",
"image-text-to-text",
"base_model:OpenGVLab/InternVL3_5-2B",
"base_model:quantized:OpenGVLab/InternVL3_5-2B",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-08-26T03:23:13Z | ## Llamacpp imatrix Quantizations of InternVL3_5-2B by OpenGVLab
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/b6258">b6258</a> for quantization.
Original model: https://huggingface.co/OpenGVLab/InternVL3_5-2B
All quants made ... | [] |
Mohaaxa/Qwen2.5-VL-3B-Instruct-W4A16-generic | Mohaaxa | 2026-04-27T06:32:34Z | 103 | 1 | null | [
"safetensors",
"qwen2_5_vl",
"quantized",
"w4a16",
"robotics",
"nova-robot",
"image-text-to-text",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-VL-3B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-VL-3B-Instruct",
"compressed-tensors",
"region:us"
] | image-text-to-text | 2026-04-22T06:29:08Z | # Qwen2.5-VL-3B-Instruct-W4A16-generic
Quantized with the NOVA quantization pipeline on 2026-04-27.
Base model: [Qwen/Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct)
## Quantization details
| Parameter | Value |
|---|---|
| Method | `W4A16` |
| Group size | 128 |
| Calibration | `generic`... | [
{
"start": 571,
"end": 575,
"text": "TTFT",
"label": "evaluation metric",
"score": 0.8383890986442566
},
{
"start": 614,
"end": 618,
"text": "TPOT",
"label": "evaluation metric",
"score": 0.7565791606903076
},
{
"start": 714,
"end": 718,
"text": "TTFT",
... |
mradermacher/MN-12B-Mag-Mell-R1-Uncensored-Scale1.2-i1-GGUF | mradermacher | 2026-03-07T10:25:24Z | 5,447 | 4 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:EldritchLabs/MN-12B-Mag-Mell-R1-Uncensored-Scale1.2",
"base_model:quantized:EldritchLabs/MN-12B-Mag-Mell-R1-Uncensored-Scale1.2",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-07T07:34:10Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
unsloth/Qwen3-VL-2B-Instruct-unsloth-bnb-4bit | unsloth | 2025-10-30T14:36:45Z | 71,038 | 6 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"unsloth",
"conversational",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-2B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-2B-Instruct",
"license:apache-2.0",
"end... | image-text-to-text | 2025-10-21T17:44:04Z | <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... | [] |
Qwen/Qwen2-VL-7B-Instruct | Qwen | 2025-02-06T05:18:08Z | 1,434,231 | 1,271 | transformers | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"multimodal",
"conversational",
"en",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen2-VL-7B",
"base_model:finetune:Qwen/Qwen2-VL-7B",
"license:apache-2.0",
"eval-results",
"text-generation-inference",
"endpoi... | image-text-to-text | 2024-08-28T09:03:13Z | # Qwen2-VL-7B-Instruct
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Introduction
We're excited to unveil **Qwen2-VL**, the la... | [
{
"start": 613,
"end": 622,
"text": "MathVista",
"label": "benchmark name",
"score": 0.841713547706604
},
{
"start": 624,
"end": 630,
"text": "DocVQA",
"label": "benchmark name",
"score": 0.8388984799385071
},
{
"start": 632,
"end": 643,
"text": "RealWorld... |
itshamdi404/Egy_Arabic_Qwen3-TTS-12Hz-1.7B-Base | itshamdi404 | 2026-03-10T01:57:18Z | 186 | 1 | null | [
"safetensors",
"qwen3_tts",
"tts",
"arabic",
"egyptian-arabic",
"speech-synthesis",
"qwen3",
"fine-tuned",
"text-to-speech",
"ar",
"en",
"zh",
"de",
"es",
"it",
"pt",
"ja",
"ko",
"fr",
"ru",
"base_model:Qwen/Qwen3-TTS-12Hz-1.7B-Base",
"base_model:finetune:Qwen/Qwen3-TTS-12H... | text-to-speech | 2026-03-08T14:33:44Z | # Egyptian Arabic Qwen3-TTS — Custom Voice
A fine-tuned **Qwen3-TTS 1.7B** model specialized in generating **Egyptian Arabic (Masri) speech** with a natural, conversational tone.
The model was trained on Egyptian Arabic speech data to better capture the dialectal prosody, pronunciation, and conversational rhythm that... | [] |
continuum-ai/qwen3.5-4b-code-128k-forged | continuum-ai | 2026-04-11T17:16:40Z | 1,556 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5_text",
"128k-context",
"4b",
"agentic-coding",
"android",
"apple-silicon",
"attested",
"bash",
"c",
"chain-of-custody",
"chinese",
"code",
"code-completion",
"code-generation",
"code-infill",
"coder",
"coding",
"consumer-gpu",
"cpp",
"cryptogr... | text-generation | 2026-04-02T08:44:39Z | # 32K → 128K: Context Window Extended 4x
We took **Qwen3.5-4B** (32K context) and extended it to **128K context** via YaRN RoPE scaling — then trained it on code for 3 cycles to recover and improve quality.
**Paste your entire codebase, not just one file.**
<p align="center">
<a href="https://cambriantech.github.io... | [
{
"start": 52,
"end": 62,
"text": "Qwen3.5-4B",
"label": "benchmark name",
"score": 0.9662019610404968
},
{
"start": 1037,
"end": 1047,
"text": "Qwen3.5-4B",
"label": "benchmark name",
"score": 0.9653573632240295
},
{
"start": 1089,
"end": 1099,
"text": "F... |
MahmoodAnaam/MSP-Fusion-LRS2 | MahmoodAnaam | 2026-04-04T04:50:11Z | 894 | 1 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"msp",
"automatic-speech-recognition",
"generated_from_trainer",
"custom_code",
"region:us"
] | automatic-speech-recognition | 2026-04-02T23:56:01Z | <!-- 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. -->
# MSP-Fusion-LRS2
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the followin... | [
{
"start": 355,
"end": 359,
"text": "Loss",
"label": "evaluation metric",
"score": 0.8237842917442322
},
{
"start": 370,
"end": 373,
"text": "Wer",
"label": "evaluation metric",
"score": 0.9552785158157349
},
{
"start": 384,
"end": 387,
"text": "Cer",
... |
Yuosf101/Qwen3.5-4B-Uncensored-HauhauCS-Aggressive | Yuosf101 | 2026-03-09T05:15:19Z | 831 | 1 | null | [
"gguf",
"uncensored",
"qwen3.5",
"qwen",
"en",
"zh",
"multilingual",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-09T05:15:19Z | # Qwen3.5-4B-Uncensored-HauhauCS-Aggressive
Qwen3.5-4B uncensored by HauhauCS.
## About
**0/465 refusals.** Fully uncensored with zero capability loss.
No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals.
These are meant to be the best lo... | [] |
mozilla-ai/Meta-Llama-3-8B-Instruct-llamafile | mozilla-ai | 2024-08-19T10:25:36Z | 8,057 | 53 | null | [
"llamafile",
"llama",
"llama-3",
"text-generation",
"en",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:finetune:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
] | text-generation | 2024-04-19T17:58:47Z | # Meta Llama 3 8B Instruct - llamafile
This repository contains executable weights (which we call
[llamafiles](https://github.com/Mozilla-Ocho/llamafile)) that run on
Linux, MacOS, Windows, FreeBSD, OpenBSD, and NetBSD for AMD64 and ARM64.
- Model creator: [Meta](https://llama.meta.com/)
- Original model: [meta-llama... | [] |
spacepxl/Wan2.1-VAE-upscale2x | spacepxl | 2025-10-26T20:03:10Z | 1,027,103 | 110 | diffusers | [
"diffusers",
"safetensors",
"base_model:Wan-AI/Wan2.1-T2V-14B",
"base_model:finetune:Wan-AI/Wan2.1-T2V-14B",
"license:apache-2.0",
"region:us"
] | null | 2025-10-26T02:32:30Z | 
[Slowpics comparison: generated images, decoded with original vae vs 2x vae](https://slow.pics/s/9kxYpyxB)
[Slowpics comparison: highres fix over ultrasharp upscaler, vs highres fix over 2x decoder](https://slow.pics/s/Gk1F5dHo)
A decoder-only finetune of the Wan2.1 VAE, with 2x upscal... | [] |
mradermacher/OpenGoody-2-GGUF | mradermacher | 2026-03-15T11:28:06Z | 413 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3_5",
"en",
"dataset:WitchesSocialStream/MyDreamGirls-Goody2AI",
"base_model:theminji/OpenGoody-2",
"base_model:quantized:theminji/OpenGoody-2",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-15T11:15:57Z | ## 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... | [] |
nvidia/stt_ar_fastconformer_hybrid_large_pc_v1.0 | nvidia | 2025-10-23T13:48:25Z | 105,265 | 15 | nemo | [
"nemo",
"speech-recognition",
"ASR",
"Arabic",
"Conformer",
"Transducer",
"CTC",
"NeMo",
"hf-asr-leaderboard",
"speech",
"audio",
"automatic-speech-recognition",
"ar",
"dataset:mozilla-foundation/common_voice_17_0",
"dataset:google/fleurs",
"dataset:MASC",
"arxiv:2305.05084",
"lice... | automatic-speech-recognition | 2024-11-01T13:14:17Z | # NVIDIA FastConformer-Hybrid Large (ar)
<style>
img {
display: inline-table;
vertical-align: small;
margin: 0;
padding: 0;
}
</style>
| [](#model-architecture)
| [![Model size](https://img.shields... | [] |
tanhuajie2001/Robo-Dopamine-GRM-8B | tanhuajie2001 | 2026-03-02T16:55:54Z | 197 | 1 | null | [
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"conversational",
"arxiv:2512.23703",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2026-03-02T13:02:46Z | <h1 align="center">Robo-Dopamine: General Process Reward Modeling for High-Precision Robotic Manipulation</h1>
<h3 align="center">Joy is dopamine’s handiwork—whether in humans or in robotics.</h3>
<p align="center">
<a href="https://arxiv.org/abs/2512.23703"><img src="https://img.shields.io/badge/arXiv-2512.23703-... | [] |
lmstudio-community/gpt-oss-120b-GGUF | lmstudio-community | 2025-08-05T17:40:07Z | 22,703 | 19 | null | [
"gguf",
"base_model:openai/gpt-oss-120b",
"base_model:quantized:openai/gpt-oss-120b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-05T17:31:38Z | ## 💫 Community Model> gpt-oss-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)*.
**Model creator:** [openai](https://huggingface.co/openai)<br>
**Original m... | [] |
legraphista/glm-4-9b-chat-GGUF | legraphista | 2024-06-20T09:38:19Z | 11,785 | 22 | gguf | [
"gguf",
"glm",
"chatglm",
"thudm",
"quantized",
"GGUF",
"quantization",
"static",
"16bit",
"8bit",
"6bit",
"5bit",
"4bit",
"3bit",
"2bit",
"text-generation",
"zh",
"en",
"base_model:zai-org/glm-4-9b-chat",
"base_model:quantized:zai-org/glm-4-9b-chat",
"license:other",
"regi... | text-generation | 2024-06-20T09:10:34Z | # glm-4-9b-chat-GGUF
_Llama.cpp static quantization of THUDM/glm-4-9b-chat_
Original Model: [THUDM/glm-4-9b-chat](https://huggingface.co/THUDM/glm-4-9b-chat)
Original dtype: `BF16` (`bfloat16`)
Quantized by: [https://github.com/ggerganov/llama.cpp/pull/6999](https://github.com/ggerganov/llama.cpp/pull/6999)
IM... | [] |
mradermacher/qwen3-vl-russian-handwriting-GGUF | mradermacher | 2026-01-21T06:11:42Z | 214 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3_vl",
"en",
"base_model:gbull25/qwen3-vl-russian-handwriting",
"base_model:quantized:gbull25/qwen3-vl-russian-handwriting",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-21T06:04:10Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
nightmedia/Qwen3.5-27B-Claude-4.6-OS-INSTRUCT-mxfp8-mlx | nightmedia | 2026-03-12T22:00:03Z | 2,215 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"unsloth",
"instruct",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
... | image-text-to-text | 2026-03-08T22:21:36Z | # Qwen3.5-27B-Claude-4.6-OS-INSTRUCT-mxfp8-mlx
Brainwaves
```brainwaves
arc arc/e boolq hswag obkqa piqa wino
mxfp8 0.675,0.827,0.900,0.750,0.496,0.800,0.721
qx86-hi 0.667,0... | [] |
huihui-ai/Llama-3.3-70B-Instruct-abliterated | huihui-ai | 2024-12-12T10:51:13Z | 2,594 | 68 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-3",
"abliterated",
"uncensored",
"conversational",
"en",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"de",
"base_model:meta-llama/Llama-3.3-70B-Instruct",
"base_model:finetune:meta-llama/... | text-generation | 2024-12-11T03:50:44Z | # huihui-ai/Llama-3.3-70B-Instruct-abliterated
This is an uncensored version of [meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more ab... | [] |
laion/music-whisper | laion | 2026-02-09T20:24:13Z | 362 | 1 | transformers | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"music-captioning",
"audio-to-text",
"generated_from_trainer",
"dataset:laion/captioned-ai-music-snippets",
"base_model:openai/whisper-small",
"base_model:finetune:openai/whisper-small",
"license:cc-by-4.0",
"endpoints_c... | automatic-speech-recognition | 2026-02-09T20:22:10Z | # Music Whisper (Whisper Small Fine-tune)
Author: Christoph Schuhmann
This is a fine-tuned version of [OpenAI Whisper Small](https://huggingface.co/openai/whisper-small) specifically trained for **Music Captioning**.
## Model Details
- **Base Model:** OpenAI Whisper Small
- **Task:** Music Captioning (generating textu... | [] |
ModelSpace/GemmaX2-28-2B-v0.1 | ModelSpace | 2026-02-25T03:27:55Z | 1,326 | 113 | transformers | [
"transformers",
"safetensors",
"gemma2",
"text-generation",
"translation",
"ar",
"bn",
"cs",
"de",
"en",
"es",
"fa",
"fr",
"he",
"hi",
"id",
"it",
"ja",
"km",
"ko",
"lo",
"ms",
"my",
"nl",
"pl",
"pt",
"ru",
"th",
"tl",
"tr",
"ur",
"vi",
"zh",
"arxiv:... | translation | 2024-11-28T11:42:21Z | ## Updates
New multilingual machine translation model (MiLMMT-46) is now available. Please check the [link](https://huggingface.co/collections/xiaomi-research/milmmt-46) for detailed information.
## Model Description
GemmaX2-28-2B-v0.1 is an LLM-based translation model. It has been fintuned on GemmaX2-28-2B-Pretrai... | [] |
dandelin/vilt-b32-mlm | dandelin | 2022-07-06T12:18:37Z | 24,802 | 13 | transformers | [
"transformers",
"pytorch",
"vilt",
"fill-mask",
"arxiv:2102.03334",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | # Vision-and-Language Transformer (ViLT), pre-trained only
Vision-and-Language Transformer (ViLT) model pre-trained on GCC+SBU+COCO+VG (200k steps). It was introduced in the paper [ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision](https://arxiv.org/abs/2102.03334) by Kim et al. and first... | [] |
Qwen/Qwen3-30B-A3B-GGUF | Qwen | 2025-05-21T06:25:14Z | 19,934 | 68 | null | [
"gguf",
"text-generation",
"arxiv:2309.00071",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-30B-A3B",
"base_model:quantized:Qwen/Qwen3-30B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-05-05T08:38:52Z | # Qwen3-30B-A3B-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 lang... | [] |
Neilburt/embbeded_assistant | Neilburt | 2025-12-29T18:54:25Z | 172 | 1 | null | [
"gguf",
"mistral",
"endpoints_compatible",
"region:us"
] | null | 2025-11-19T19:03:00Z | # 🧠 Embedded Assistant
**Embedded Assistant** is a 7B‑parameter Large Language Model built on top of **Mistral 7B**, trained using **Unsloth** on Google Colab.
It is designed as a general‑purpose model specialized in helping beginners create and understand **embedded systems projects**.
---
## 📦 Model Overview... | [] |
Intel/Qwen3.6-27B-4.5b-mlx-AutoRound | Intel | 2026-04-27T15:40:49Z | 180 | 18 | null | [
"safetensors",
"qwen3_5",
"arxiv:2309.05516",
"base_model:Qwen/Qwen3.6-27B",
"base_model:quantized:Qwen/Qwen3.6-27B",
"4-bit",
"region:us"
] | null | 2026-04-24T12:27:18Z | ## Model Details
This model is an **mlx** format 4.5b mixed model with group_size 128 and symmetric quantization of [Qwen/Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B) generated by [intel/auto-round](https://github.com/intel/auto-round). Please follow the license of the original model.
We currently support th... | [] |
mradermacher/Qwen2.5-Omni-7B-abliterated-i1-GGUF | mradermacher | 2026-04-21T14:32:12Z | 3,534 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:GitMylo/Qwen2.5-Omni-7B-abliterated",
"base_model:quantized:GitMylo/Qwen2.5-Omni-7B-abliterated",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-25T07:42:43Z | ## 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": 662,
"text": "Qwen2.5-Omni-7B-abliterated-i1-GGUF",
"label": "benchmark name",
"score": 0.7295070886611938
},
{
"start": 736,
"end": 768,
"text": "Qwen2.5-Omni-7B-abliterated-GGUF",
"label": "benchmark name",
"score": 0.6725617051124573
},
{
... |
apple/DFN2B-CLIP-ViT-B-16 | apple | 2025-02-28T18:39:34Z | 2,318,612 | 12 | open_clip | [
"open_clip",
"arxiv:2309.17425",
"license:apple-amlr",
"region:us"
] | null | 2023-10-31T03:52:33Z | A CLIP (Contrastive Language-Image Pre-training) model trained on DFN-2B.
Data Filtering Networks (DFNs) are small networks used to automatically filter large pools of uncurated data.
This model was trained on 2B images that were filtered from a pool of 12.8B uncurated image-text pairs
(12.8B image-text pairs from C... | [
{
"start": 871,
"end": 883,
"text": "CLEVR Counts",
"label": "evaluation metric",
"score": 0.601384162902832
},
{
"start": 909,
"end": 923,
"text": "CLEVR Distance",
"label": "evaluation metric",
"score": 0.6253135800361633
}
] |
pfnet/plamo-2-1b | pfnet | 2025-11-07T05:41:06Z | 52,424 | 39 | transformers | [
"transformers",
"safetensors",
"plamo2",
"text-generation",
"custom_code",
"en",
"ja",
"arxiv:2406.07522",
"arxiv:2312.00752",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-02-05T05:58:57Z | # PLaMo 2 1B
## Model Description
PLaMo 2 1B is a 1B model pre-trained on English and Japanese datasets, developed by Preferred Elements, Inc.
PLaMo 2 models adapt the hybrid architecture like [Samba](https://arxiv.org/abs/2406.07522) rather than the Transformer architecture. Samba integrates [Mamba](https://arxiv.o... | [] |
codellama/CodeLlama-13b-Instruct-hf | codellama | 2024-04-12T14:19:04Z | 5,340 | 160 | transformers | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"llama-2",
"conversational",
"code",
"arxiv:2308.12950",
"license:llama2",
"text-generation-inference",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | text-generation | 2023-08-24T16:33:54Z | # **Code Llama**
Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the repository for the 13 instruct-tuned version in the Hugging Face Transformers format. This model is designed for general code synthesis and understanding.... | [] |
prithivMLmods/Dorado-WebSurf_Tool-ext-GGUF | prithivMLmods | 2025-09-30T15:42:59Z | 112 | 1 | transformers | [
"transformers",
"gguf",
"qwen3",
"text-generation-inference",
"tool",
"web-agent",
"text-generation",
"en",
"base_model:prithivMLmods/Dorado-WebSurf_Tool-ext",
"base_model:quantized:prithivMLmods/Dorado-WebSurf_Tool-ext",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversa... | text-generation | 2025-09-30T10:36:48Z | # **Dorado-WebSurf_Tool-ext-GGUF**
> Dorado-WebSurf_Tool-ext is a function-calling and agentic reasoning model fine-tuned from Qwen3-4B, designed for web search orchestration, tool-augmented reasoning, and dynamic problem-solving. It excels at agentic decision-making, tool selection, and structured execution flow, mak... | [] |
CMM7590/Lilith_AI_8B | CMM7590 | 2026-04-26T05:17:58Z | 196 | 8 | null | [
"gguf",
"base_model:Sao10K/Llama-3.1-8B-Stheno-v3.4",
"base_model:quantized:Sao10K/Llama-3.1-8B-Stheno-v3.4",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-27T02:30:59Z | # Lilith AI
An LLM trained to act like Lilith from ***The NOexistenceN of you AND me***.<br>
<hr>
## About
This model is a **LoRA fine-tuned LLM** based on... | [] |
mradermacher/Neuro-Orchestrator-8B-GGUF | mradermacher | 2025-12-07T02:50:06Z | 599 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:yasserrmd/Neuro-Orchestrator-8B",
"base_model:quantized:yasserrmd/Neuro-Orchestrator-8B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-06T21:47:22Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 520,
"end": 546,
"text": "Neuro-Orchestrator-8B-GGUF",
"label": "benchmark name",
"score": 0.6419663429260254
}
] |
mradermacher/Audiogemma-3N-finetune-i1-GGUF | mradermacher | 2026-01-21T07:28:01Z | 139 | 2 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"gemma3n",
"en",
"dataset:kadirnar/Emilia-DE-B000000",
"base_model:EpistemeAI/Audiogemma-3N-finetune",
"base_model:quantized:EpistemeAI/Audiogemma-3N-finetune",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix... | null | 2026-01-18T06:52:49Z | ## 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_... | [] |
OpenMed/OpenMed-ZeroShot-NER-Pharma-Medium-209M | OpenMed | 2025-10-19T07:54:07Z | 22,593 | 3 | gliner | [
"gliner",
"pytorch",
"token-classification",
"entity recognition",
"named-entity-recognition",
"zero-shot",
"zero-shot-ner",
"zero shot",
"biomedical-nlp",
"chemical-entity-recognition",
"drug-discovery",
"pharmacology",
"biocuration",
"chemical",
"en",
"arxiv:2508.01630",
"license:a... | token-classification | 2025-09-15T20:57:11Z | # 🧬 [OpenMed-ZeroShot-NER-Pharma-Medium-209M](https://huggingface.co/OpenMed/OpenMed-ZeroShot-NER-Pharma-Medium-209M)
**Specialized model for Chemical Entity Recognition - Chemical entities from the BC5CDR dataset**
[](https://opensource.org/licen... | [] |
Flansma/helm-bert | Flansma | 2026-04-07T14:53:33Z | 2,111 | 1 | null | [
"safetensors",
"helmbert",
"peptide",
"biology",
"drug-discovery",
"HELM",
"helm-notation",
"cyclic-peptide",
"peptide-language-model",
"fill-mask",
"custom_code",
"en",
"arxiv:2512.23175",
"license:mit",
"region:us"
] | fill-mask | 2025-12-30T04:03:16Z | # HELM-BERT
A peptide language model using **HELM (Hierarchical Editing Language for Macromolecules)** notation, compatible with Hugging Face Transformers.
[](https://github.com/clinfo/HELM-BERT)
## Model Description
HELM-BERT is bu... | [] |
foduucom/stockmarket-future-prediction | foduucom | 2023-10-07T06:35:04Z | 407 | 164 | ultralytics | [
"ultralytics",
"tensorboard",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"finance",
"stock market",
"candlesticks",
"pattern recognition",
"option trading",
"chart reader",
"future stock prediction",
"trends prediction",
"en",
"model-index",
"re... | object-detection | 2023-09-27T09:35:59Z | <div align="center">
<img width="640" alt="foduucom/product-detection-in-shelf-yolov8" src="https://huggingface.co/foduucom/stockmarket-future-prediction/resolve/main/_Stockmarket-Future-Prediction.jpeg">
</div>
# Model Card for YOLOv8s Stock Market future trends prediction on Live Trading Video Data
## Model Summar... | [] |
TheBloke/Guanaco-7B-Uncensored-GGUF | TheBloke | 2023-09-27T12:48:27Z | 1,457 | 22 | transformers | [
"transformers",
"gguf",
"llama",
"conversational",
"en",
"dataset:Fredithefish/openassistant-guanaco-unfiltered",
"license:apache-2.0",
"region:us"
] | text-generation | 2023-09-08T07:50:48Z | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<d... | [] |
BSC-LT/vocos-mel-22khz | BSC-LT | 2024-08-27T08:49:39Z | 626 | 7 | null | [
"pytorch",
"onnx",
"vocoder",
"mel",
"vocos",
"hifigan",
"tts",
"dataset:projecte-aina/festcat_trimmed_denoised",
"dataset:projecte-aina/openslr-slr69-ca-trimmed-denoised",
"dataset:lj_speech",
"dataset:blabble-io/libritts_r",
"arxiv:2306.00814",
"license:apache-2.0",
"region:us"
] | null | 2024-03-19T10:33:37Z | # Vocos-mel-22khz
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
**Vocos** is a fast neural vocoder designed to synthesize audio waveforms from acoustic features.
Unlike other typical GAN-based vocoders, ... | [] |
RichardErkhov/trojblue_-_gpt2-prompt-upscaler-v1-gguf | RichardErkhov | 2025-03-14T06:35:56Z | 934 | 1 | null | [
"gguf",
"endpoints_compatible",
"region:us"
] | null | 2025-03-14T06:29:40Z | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gpt2-prompt-upscaler-v1 - GGUF
- Model creator: https://huggingface.co/trojblue/
- Original model: https://huggingface.co/tr... | [] |
Wan-AI/Wan2.1-I2V-14B-720P | Wan-AI | 2025-02-26T14:35:45Z | 12,911 | 567 | diffusers | [
"diffusers",
"safetensors",
"i2v",
"video",
"video genration",
"image-to-video",
"en",
"zh",
"license:apache-2.0",
"region:us"
] | image-to-video | 2025-02-25T07:57:27Z | # Wan2.1
<p align="center">
<img src="assets/logo.png" width="400"/>
<p>
<p align="center">
💜 <a href=""><b>Wan</b></a>    ｜    🖥️ <a href="https://github.com/Wan-Video/Wan2.1">GitHub</a>    |   🤗 <a href="https://huggingface.co/Wan-AI/">Hugging Face</a>   |  &n... | [] |
facebook/opt-1.3b | facebook | 2023-09-15T13:09:33Z | 333,371 | 183 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"opt",
"text-generation",
"en",
"arxiv:2205.01068",
"arxiv:2005.14165",
"license:other",
"text-generation-inference",
"deploy:azure",
"region:us"
] | text-generation | 2022-05-11T08:26:00Z | # OPT : Open Pre-trained Transformer Language Models
OPT was first introduced in [Open Pre-trained Transformer Language Models](https://arxiv.org/abs/2205.01068) and first released in [metaseq's repository](https://github.com/facebookresearch/metaseq) on May 3rd 2022 by Meta AI.
**Disclaimer**: The team releasing OPT... | [] |
unsloth/Llama-3.2-3B-Instruct | unsloth | 2025-06-02T21:40:12Z | 218,675 | 88 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-3",
"meta",
"facebook",
"unsloth",
"conversational",
"en",
"base_model:meta-llama/Llama-3.2-3B-Instruct",
"base_model:finetune:meta-llama/Llama-3.2-3B-Instruct",
"license:llama3.2",
"text-generation-inference",
"endpoints_... | text-generation | 2024-09-25T18:43:42Z | ## ***See [our collection](https://huggingface.co/collections/unsloth/llama-32-66f46afde4ca573864321a22) for all versions of Llama 3.2 including GGUF, 4-bit and original 16-bit formats.***
# Finetune Llama 3.2, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a free Google Colab Tesla T4 noteboo... | [] |
mradermacher/MAI-UI-8B-GGUF | mradermacher | 2025-12-29T15:36:03Z | 2,298 | 7 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Tongyi-MAI/MAI-UI-8B",
"base_model:quantized:Tongyi-MAI/MAI-UI-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-29T15:04:29Z | ## 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... | [] |
mradermacher/mistral-nemo-it-2407-heretic-i1-GGUF | mradermacher | 2025-12-11T08:49:10Z | 340 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:JumboJam/mistral-nemo-it-2407-heretic",
"base_model:quantized:JumboJam/mistral-nemo-it-2407-heretic",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-10T21:39:23Z | ## 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_... | [] |
YuankaiLuo/SimVLA-LIBERO | YuankaiLuo | 2026-02-26T03:37:28Z | 9,452 | 1 | null | [
"safetensors",
"smolvlm_vla",
"robotics",
"vla",
"arxiv:2602.18224",
"base_model:HuggingFaceTB/SmolVLM-500M-Instruct",
"base_model:finetune:HuggingFaceTB/SmolVLM-500M-Instruct",
"license:apache-2.0",
"region:us"
] | robotics | 2026-02-24T05:08:03Z | # SimVLA (LIBERO Edition)
**Repository:** [LUOyk1999/SimVLA](https://github.com/LUOyk1999/SimVLA)
**Paper:** *Luo et al., 2026, “SimVLA: A Simple VLA Baseline for Robotic Manipulation”* ([arXiv:2602.18224](https://arxiv.org/pdf/2602.18224))
## Overview
![image](https://cdn-uploads.huggingface.co/production/upload... | [
{
"start": 3,
"end": 9,
"text": "SimVLA",
"label": "benchmark name",
"score": 0.8132131099700928
},
{
"start": 56,
"end": 62,
"text": "SimVLA",
"label": "benchmark name",
"score": 0.7936371564865112
},
{
"start": 93,
"end": 99,
"text": "SimVLA",
"label... |
mradermacher/Fat_Fish-i1-GGUF | mradermacher | 2026-03-12T12:20:35Z | 3,961 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:SicariusSicariiStuff/Fat_Fish",
"base_model:quantized:SicariusSicariiStuff/Fat_Fish",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-12T10:05:13Z | ## 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": 621,
"end": 637,
"text": "Fat_Fish-i1-GGUF",
"label": "benchmark name",
"score": 0.6305283904075623
}
] |
QuixiAI/samantha-mistral-7b | QuixiAI | 2024-05-20T15:08:56Z | 206 | 46 | transformers | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2023-09-30T06:28:46Z | Trained on [mistral-7b](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base model, this Samantha was trained in 2 hours on 4x A100 80gb with 20 epochs of the Samantha-1.1 dataset.
My gratitude goes to my sponsors, a16z and Microsoft for Startups.
[![Discord](https://img.shields.io/discord/1156064224225808488?... | [] |
mradermacher/GLM-4.7-Flash-heretic-MPOA-i1-GGUF | mradermacher | 2026-03-01T12:50:43Z | 10,947 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"zh",
"base_model:DazzlingShadow/GLM-4.7-Flash-heretic-MPOA",
"base_model:quantized:DazzlingShadow/GLM-4.7-Flash-heretic-MPOA",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversation... | null | 2026-03-01T07:11:49Z | ## 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/Strand-Rust-Coder-14B-v1-GGUF | mradermacher | 2025-10-17T13:34:30Z | 197 | 4 | transformers | [
"transformers",
"gguf",
"en",
"dataset:Fortytwo-Network/Strandset-Rust-v1",
"base_model:Fortytwo-Network/Strand-Rust-Coder-14B-v1",
"base_model:quantized:Fortytwo-Network/Strand-Rust-Coder-14B-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-16T22:50:52Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/QuasiStarSynth-12B-noslop-absolute-heresy-GGUF | mradermacher | 2026-02-13T20:31:54Z | 277 | 2 | transformers | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"DreadPoor/Irix-12B-Model_Stock",
"ohyeah1/Violet-Lyra-Gutenberg-v2",
"redrix/patricide-12B-Unslop-Mell-v2",
"yamatazen/EtherealAurora-12B-v3",
"yamatazen/EtherealAurora-12B-v2",
"noslop",
"heretic",
"uncensored",
"decensored",
... | null | 2026-02-13T17:56:58Z | ## 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... | [] |
ZuzeTt/GLM-4.6V-Flash-heretic-Imatrix-GGUF | ZuzeTt | 2026-02-23T17:55:23Z | 765 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"image-text-to-text",
"zh",
"en",
"arxiv:2507.01006",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-12-29T08:28:00Z | Original model: https://huggingface.co/AiAsistent/GLM-4.6V-Flash-heretic
# GLM-4.6V-Flash-Heretic Update Notice
This is a custom modification of the GLM-4.6V-Flash model created personally by **AlexH**. Please note that this customization is **not part of the official release**.
The update includes unique enhancemen... | [] |
Hawa-Al-Akram/StarO-Ai | Hawa-Al-Akram | 2026-04-28T17:22:30Z | 5,695 | 2 | null | [
"pytorch",
"staro",
"lighteval",
"staro-architecture",
"arabic",
"from-scratch",
"teenager",
"text-generation",
"ar",
"license:creativeml-openrail-m",
"region:us"
] | text-generation | 2025-09-13T21:39:59Z | <svg version="1.0" xmlns="http://www.w3.org/2000/svg"
width="300.000000pt" height="100.000000pt" viewBox="0 0 925.000000 255.000000"
preserveAspectRatio="xMidYMid meet">
<metadata>
Created by hawa Al-Akram
</metadata>
<g transform="translate(0.000000,277.000000) scale(0.100000,-0.100000)"
fill="#FFFFFF" stroke="none"... | [] |
mbakgun/qwen3-coder-30b-a3b-n8n-workflow-generator | mbakgun | 2026-01-18T17:22:30Z | 277 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_moe",
"n8n",
"workflow",
"automation",
"fine-tuned",
"code-generation",
"qlora",
"moe",
"mixture-of-experts",
"text-generation",
"conversational",
"en",
"dataset:mbakgun/n8nbuilder-n8n-workflows-dataset",
"base_model:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"b... | text-generation | 2025-12-29T15:59:27Z | # Qwen3-Coder-30B-A3B-n8n-Workflow-Generator
Fine-tuned Qwen3-Coder-30B-A3B-Instruct model specialized for generating n8n workflow JSONs from natural language descriptions.
## Model Description
This model is a QLoRA fine-tuned version of [Qwen/Qwen3-Coder-30B-A3B-Instruct]... | [] |
voidful/Qwen3.5-9B-gemini-3.1-opus-4.6-reasoning | voidful | 2026-03-20T05:39:19Z | 400 | 10 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"axolotl",
"generated_from_trainer",
"conversational",
"dataset:voidful/gemini-3.1-opus-4.6-reasoning-merged",
"base_model:Qwen/Qwen3.5-9B",
"base_model:finetune:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"r... | image-text-to-text | 2026-03-07T12:56:51Z | # voidful/Qwen3.5-9B-gemini-3.1-opus-4.6-reasoning
`voidful/Qwen3.5-9B-gemini-3.1-opus-4.6-reasoning` is a 9B-scale model based on `Qwen/Qwen3.5-9B`.
This model is designed to improve reasoning-oriented multiple-choice performance while preserving strong general capability.
In our zero-shot evaluation, the model ac... | [
{
"start": 133,
"end": 148,
"text": "Qwen/Qwen3.5-9B",
"label": "benchmark name",
"score": 0.6364246606826782
},
{
"start": 404,
"end": 419,
"text": "Qwen/Qwen3.5-9B",
"label": "benchmark name",
"score": 0.6840556263923645
},
{
"start": 555,
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"t... |
neovateai/UI-UG-7B | neovateai | 2025-09-30T02:19:55Z | 129 | 14 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"UI",
"UI-UG",
"MLLM",
"arxiv:2509.24361",
"conversational",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-7B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compati... | image-text-to-text | 2025-09-29T03:06:37Z | <div align="center">
# 🎯 UI-UG: A Unified MLLM for UI Understanding and Generation
[](https://www.python.org/downloads/)
[](https://www.apache.org/licenses/LICENSE-2.0)
[![Paper](ht... | [] |
nvidia/Phi-4-multimodal-instruct-FP8 | nvidia | 2025-09-05T05:13:38Z | 710 | 5 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"phi4mm",
"nvidia",
"ModelOpt",
"Phi4",
"quantized",
"FP8",
"fp8",
"custom_code",
"base_model:microsoft/Phi-4-multimodal-instruct",
"base_model:quantized:microsoft/Phi-4-multimodal-instruct",
"license:other",
"modelopt",
"region:us"
] | null | 2025-09-05T05:13:38Z | # Model Overview
## Description:
The NVIDIA Phi-4-multimodal-instruct FP8 model is the quantized version of Microsoft’s Phi-4-multimodal-instruct model, which is a multimodal foundation model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/microsoft/Phi... | [] |
NCSOFT/VARCO-VISION-2.0-14B | NCSOFT | 2025-09-15T07:42:32Z | 365 | 46 | transformers | [
"transformers",
"safetensors",
"llava_onevision",
"image-text-to-text",
"multimodal",
"conversational",
"ncsoft",
"ncai",
"varco",
"en",
"ko",
"arxiv:2509.10105",
"arxiv:2408.03326",
"base_model:Qwen/Qwen3-14B",
"base_model:finetune:Qwen/Qwen3-14B",
"license:cc-by-nc-4.0",
"endpoints... | image-text-to-text | 2025-07-08T06:24:37Z | # VARCO-VISION-2.0-14B
<div align="center">
<img src="./varco-vision.png" width="100%" style="background-color:white; padding:10px;" />
</div>
## Introduction
**VARCO-VISION-2.0** is a multimodal AI model capable of understanding both images and text to answer user queries. It supports multi-image inputs, enabling... | [] |
exdsgift/NerGuard-0.3B | exdsgift | 2026-03-06T07:04:34Z | 354 | 2 | transformers | [
"transformers",
"safetensors",
"deberta-v2",
"token-classification",
"ner",
"pii",
"privacy",
"gdpr",
"mdeberta",
"multilingual",
"en",
"de",
"fr",
"it",
"es",
"pt",
"nl",
"pl",
"dataset:ai4privacy/open-pii-masking-500k-ai4privacy",
"base_model:microsoft/mdeberta-v3-base",
"b... | token-classification | 2026-01-23T06:33:29Z | [](https://huggingface.co/exdsgift/NerGuard-0.3B)
[... | [] |
mixedbread-ai/mxbai-rerank-base-v2 | mixedbread-ai | 2026-04-08T08:37:24Z | 181,619 | 62 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"sentence-transformers",
"text-ranking",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"ff",
"fi",
"fr",
"fy"... | text-ranking | 2025-03-03T08:20:19Z | <br><br>
<p align="center">
<svg xmlns="http://www.w3.org/2000/svg" xml:space="preserve" viewBox="0 0 2020 1130" width="150" height="150" aria-hidden="true"><path fill="#e95a0f" d="M398.167 621.992c-1.387-20.362-4.092-40.739-3.851-61.081.355-30.085 6.873-59.139 21.253-85.976 10.487-19.573 24.09-36.822 40.662-51.515 16... | [] |
Armaggheddon/yolo11-document-layout | Armaggheddon | 2026-03-17T20:29:46Z | 12,747 | 9 | ultralytics | [
"ultralytics",
"object-detection",
"document-layout",
"yolov11",
"document-layout-analysis",
"document-ai",
"en",
"dataset:ds4sd/DocLayNet",
"base_model:Ultralytics/YOLO11",
"base_model:finetune:Ultralytics/YOLO11",
"license:mit",
"region:us"
] | object-detection | 2025-09-28T14:03:39Z | # YOLOv11 for Advanced Document Layout Analysis
<p align="center">
<img src="images/logo.png" alt="Logo" width="100%"/>
</p>
> [!IMPORTANT]
> 🔥 YOLO26 is here! We just released new YOLO26 models fine-tuned on this exact same dataset. Get the power and accuracy of YOLO11-Medium, packed into the tiny footprint of a ... | [] |
BAAI/Aquila-33B | BAAI | 2024-08-28T06:12:11Z | 124 | 3 | null | [
"safetensors",
"aquila",
"custom_code",
"license:other",
"region:us"
] | null | 2024-08-28T02:17:45Z | 
<h4 align="center">
<p>
<b>English</b> |
<a href="https://huggingface.co/BAAI/Aquila-7B/blob/main/README_zh.md">简体中文</a> |
<p>
</h4>
Aquila Language Model is the first open source language model that supports both Chinese and English knowledge, commercial license ag... | [] |
Helsinki-NLP/opus-mt-zh-en | Helsinki-NLP | 2023-08-16T12:09:10Z | 150,026 | 548 | transformers | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"zh",
"en",
"license:cc-by-4.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | translation | 2022-03-02T23:29:04Z | ### zho-eng
## Table of Contents
- [Model Details](#model-details)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation](#evaluation)
- [Citation Information](#citation-information)
- [How to Get Started With the Model](#how-to-get-started-with-the-mode... | [] |
llmfan46/Qwen3.5-35B-A3B-ultra-uncensored-heretic-GGUF | llmfan46 | 2026-04-10T00:28:46Z | 39,595 | 52 | null | [
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"image-text-to-text",
"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",
"conversation... | image-text-to-text | 2026-03-03T06:01:14Z | <div style="background-color: #ff4444; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
<h2 style="color: white; margin: 0 0 10px 0;">🚨⚠️ I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT ⚠️🚨</h2>
<p style="font-size: 18px; margin: 0 0 15px 0;">I can no longer upload new models u... | [] |
nvidia/parakeet-rnnt-1.1b | nvidia | 2025-11-27T22:13:26Z | 2,154 | 167 | nemo | [
"nemo",
"automatic-speech-recognition",
"speech",
"audio",
"Transducer",
"FastConformer",
"Conformer",
"pytorch",
"NeMo",
"hf-asr-leaderboard",
"en",
"dataset:librispeech_asr",
"dataset:fisher_corpus",
"dataset:Switchboard-1",
"dataset:WSJ-0",
"dataset:WSJ-1",
"dataset:National-Singa... | automatic-speech-recognition | 2023-12-27T23:40:13Z | # Parakeet RNNT 1.1B (en)
<style>
img {
display: inline;
}
</style>
[](#model-architecture)
| [](#model-architecture)
| [![Languag... | [] |
baidu/Qianfan-VL-3B | baidu | 2025-09-19T10:32:20Z | 311 | 28 | transformers | [
"transformers",
"safetensors",
"qianfanvl_chat",
"feature-extraction",
"multimodal",
"image-text-to-text",
"conversational",
"custom_code",
"en",
"zh",
"license:other",
"region:us"
] | image-text-to-text | 2025-09-16T14:18:12Z | # Qianfan-VL: Domain-Enhanced Universal Vision-Language Models
Domain Capability Enhancement through Continuous Pre-training | 3B to 70B Parameter Scale | Document Understanding & OCR Enhancement | Chain-of-Thought Reasoning Support
## 🔗 Quick Links
- **Repository**: [💻 GitHub](https://github.com/baidubce/Qianfan-... | [] |
AQ-MedAI/Kimi-K2-Instruct-eagle3 | AQ-MedAI | 2025-12-22T12:14:55Z | 141 | 11 | null | [
"safetensors",
"llama",
"license:mit",
"region:us"
] | null | 2025-12-19T09:04:13Z | ## Model Overview
**Kimi-K2-Instruct-eagle3** is a specialized draft model designed to accelerate the inference of the Kimi-K2-Instruct ecosystem using the **EAGLE3 (Extrapolation Algorithm for Greater Language-model Efficiency)** framework.
Kimi-K2-Instruct with EAGLE3 achieves up to **1.8× peak throughput** versus ... | [
{
"start": 397,
"end": 405,
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"text": "Averag... |
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