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 |
|---|---|---|---|---|---|---|---|---|---|---|
DMetaSoul/Dmeta-embedding-zh | DMetaSoul | 2024-04-08T03:08:24Z | 843 | 98 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"mteb",
"RAG",
"zh",
"en",
"license:apache-2.0",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | feature-extraction | 2024-01-25T02:13:48Z | <div align="center">
<img src="logo.png" alt="icon" width="100px"/>
</div>
<h1 align="center">Dmeta-embedding</h1>
<h4 align="center">
<p>
<a href="https://huggingface.co/DMetaSoul/Dmeta-embedding/README.md">English</a> |
<a href="https://huggingface.co/DMetaSoul/Dmeta-embedding/blob/main/README_zh.md... | [] |
xuanwulab/HaS_Text_0209_0.6B_Q8 | xuanwulab | 2026-03-04T06:25:14Z | 532 | 2 | gguf | [
"gguf",
"privacy",
"anonymization",
"ner",
"pii",
"hide-and-seek",
"on-device",
"qwen3",
"text-generation",
"zh",
"en",
"pt",
"fr",
"es",
"de",
"ko",
"ja",
"base_model:Qwen/Qwen3-0.6B",
"base_model:quantized:Qwen/Qwen3-0.6B",
"license:apache-2.0",
"endpoints_compatible",
"r... | text-generation | 2026-02-26T02:54:47Z | # HaS Text Model (Q8_0)
**HaS (Hide and Seek)** is an on-device privacy model providing a complete pipeline from entity recognition to anonymization and restoration.
- 📦 **0.6B parameters**, Q8_0 quantization, 639 MB
- 🔒 **Data never leaves device** — local inference, no network required
- 🌍 **8 languages natively... | [] |
mradermacher/Qwen3-vl-2B-Danbooru-GGUF | mradermacher | 2025-11-03T15:38:34Z | 219 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Shio-Koube/Qwen3-vl-2B-Danbooru",
"base_model:quantized:Shio-Koube/Qwen3-vl-2B-Danbooru",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-03T15:25:28Z | ## 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... | [] |
jayn7/HunyuanVideo-1.5_T2V_480p-GGUF | jayn7 | 2025-11-27T09:26:44Z | 592 | 6 | null | [
"gguf",
"text-to-video",
"video-generation",
"base_model:tencent/HunyuanVideo-1.5",
"base_model:quantized:tencent/HunyuanVideo-1.5",
"region:us"
] | text-to-video | 2025-11-21T15:23:53Z | Quantized GGUF versions of the [HunyuanVideo-1.5-T2V-480p](https://huggingface.co/tencent/HunyuanVideo-1.5) by Tencent.
### 📂 Available 480P T2V Models
| Model | Download |
|--------|--------------|
| HunyuanVideo 1.5 T2V 480P `Distilled Model` | [Download](https://huggingface.co/jayn7/HunyuanVideo-1.5_T2V_480p-GGUF/t... | [] |
ikarius/Qwen3-8B-Abliterated-FP8 | ikarius | 2025-12-30T16:25:01Z | 545 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"quantization",
"fp8",
"qwen",
"abliterated",
"blackwell-optimized",
"fine-grained",
"conversational",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-30T14:23:03Z | # Qwen3-8B-FineGrained-FP8 (Blackwell Optimized)
This repository contains a high-precision **Fine-Grained FP8** quantization of `huihui-ai/Qwen3-8B-Instruct-Abliterated`.
The model has been specifically quantized using parameters optimized for next-generation hardware, particularly the **NVIDIA Blackwell (RTX 50-seri... | [] |
OpenGVLab/InternVL3_5-1B-Instruct | OpenGVLab | 2025-08-29T17:57:08Z | 1,762 | 7 | transformers | [
"transformers",
"safetensors",
"internvl_chat",
"feature-extraction",
"internvl",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"dataset:OpenGVLab/MMPR-Tiny",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2412.05271",
"arxiv:2411.1... | image-text-to-text | 2025-08-25T16:38:49Z | # InternVL3_5-1B-Instruct
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[📜 InternVL2.5-MPO\]](https://huggingfa... | [] |
FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers | FastVideo | 2025-11-25T07:56:21Z | 23,277 | 63 | diffusers | [
"diffusers",
"safetensors",
"text-to-video",
"arxiv:2505.13389",
"arxiv:2502.04507",
"license:apache-2.0",
"diffusers:WanDMDPipeline",
"region:us"
] | text-to-video | 2025-08-02T04:49:50Z | # FastVideo FastWan2.2-TI2V-5B-FullAttn-Diffusers Model
<p align="center">
<img src="https://raw.githubusercontent.com/hao-ai-lab/FastVideo/main/assets/logo.png" width="200"/>
</p>
<div>
<div align="center">
<a href="https://github.com/hao-ai-lab/FastVideo" target="_blank">FastVideo Team</a> 
</div>
<... | [] |
keremberke/yolov5s-football | keremberke | 2022-12-30T20:49:24Z | 126 | 3 | yolov5 | [
"yolov5",
"tensorboard",
"yolo",
"vision",
"object-detection",
"pytorch",
"dataset:keremberke/football-object-detection",
"model-index",
"region:us"
] | object-detection | 2022-12-28T21:31:37Z | ---
tags:
- yolov5
- yolo
- vision
- object-detection
- pytorch
library_name: yolov5
library_version: 7.0.6
inference: false
datasets:
- keremberke/football-object-detection
model-index:
- name: keremberke/yolov5s-football
results:
- task:
type: object-detection
dataset:
type: keremberke/football... | [] |
Qwen/Qwen-VL | Qwen | 2024-01-25T15:16:24Z | 46,810 | 277 | transformers | [
"transformers",
"pytorch",
"qwen",
"text-generation",
"custom_code",
"zh",
"en",
"arxiv:2308.12966",
"eval-results",
"region:us"
] | text-generation | 2023-08-18T02:20:59Z | # Qwen-VL
<br>
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/logo_vl.jpg" width="400"/>
<p>
<br>
<p align="center">
Qwen-VL
<a href="https://huggingface.co/Qwen/Qwen-VL">🤗</a>
<a href="https://modelscope.cn/models/qwen/Qwen-VL/summary">🤖</a>  ｜
Qwen-VL-Chat
<a hr... | [] |
EleutherAI/deep-ignorance-unfiltered-cb | EleutherAI | 2025-08-13T06:51:59Z | 2,618 | 1 | transformers | [
"transformers",
"safetensors",
"gpt_neox",
"text-generation",
"pytorch",
"causal-lm",
"pythia",
"safety",
"unlearning",
"data-filtering",
"interpretability",
"pretraining",
"eleutherai",
"gpt-neox",
"wmdp",
"cbrn",
"tamper-resistance",
"research",
"model-suite",
"6.9b",
"circ... | text-generation | 2025-07-08T10:40:31Z | # Deep Ignorance Model Suite
📄 [Paper](https://huggingface.co/papers/2508.06601) | 🌐 [Project Page](https://deepignorance.ai/) | 💻 [Code](https://github.com/EleutherAI/deep-ignorance)
We explore an intuitive yet understudied question: Can we prevent LLMs from learning unsafe technical capabilities (such as CBRN) b... | [] |
mradermacher/MARTIN-9B-GGUF | mradermacher | 2026-04-23T07:33:03Z | 2,706 | 3 | transformers | [
"transformers",
"gguf",
"Z.P.I",
"ghost pass",
"Scottish",
"dundee",
"code",
"nsfw",
"adults only",
"ZERO-POINT-AI",
"Miss_MARTHA",
"Mr_Martin",
"en",
"zh",
"ko",
"es",
"fr",
"de",
"ja",
"th",
"base_model:ZERO-POINT-AI/Mr-MARTIN-9B-3.5_vision-OMNI",
"base_model:quantized:ZE... | null | 2026-04-05T03:45:52Z | ## 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... | [
{
"start": 531,
"end": 545,
"text": "MARTIN-9B-GGUF",
"label": "benchmark name",
"score": 0.6537283062934875
},
{
"start": 1107,
"end": 1121,
"text": "MARTIN-9B-GGUF",
"label": "benchmark name",
"score": 0.6400782465934753
}
] |
cloudyu/Mixtral_34Bx2_MoE_60B | cloudyu | 2026-01-06T13:26:39Z | 8,023 | 114 | transformers | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"yi",
"moe",
"base_model:SUSTech/SUS-Chat-34B",
"base_model:finetune:SUSTech/SUS-Chat-34B",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-01-05T10:50:16Z | # Mixtral MOE 2x34B
* [One of Best Model reviewed by reddit community](https://www.reddit.com/r/LocalLLaMA/comments/1916896/llm_comparisontest_confirm_leaderboard_big_news/)
* [Another review by reddit community](https://www.reddit.com/r/LocalLLaMA/comments/191mvlp/i_have_tried_mixtral_34bx2_moe_also_named_yi/)
Hig... | [
{
"start": 923,
"end": 929,
"text": "IFEval",
"label": "evaluation metric",
"score": 0.6097525358200073
}
] |
timteh673/Mistral-Small-4-119B-Uncensored-GGUF | timteh673 | 2026-03-31T14:59:36Z | 859 | 2 | null | [
"gguf",
"uncensored",
"abliterated",
"mistral",
"moe",
"text-generation",
"conversational",
"mistral-small-4",
"en",
"fr",
"de",
"es",
"it",
"pt",
"zh",
"ja",
"ko",
"multilingual",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-27T00:59:00Z | # Mistral-Small-4-119B-Uncensored-GGUF
> ☕ **If this model saves you time, [buy me a coffee](https://buymeacoffee.com/timteh)!** Every cup fuels more open-weight releases.
>
Mistral Small 4 119B uncensored via abliteration by TIMTEH. **Refusal direction removed from layers 9-35.**
## About
Full abliteration of [mi... | [] |
apple/Sharp | apple | 2025-12-18T17:38:39Z | 12,982 | 364 | ml-sharp | [
"ml-sharp",
"image-to-3d",
"arxiv:2512.10685",
"license:apple-amlr",
"region:us"
] | image-to-3d | 2025-12-12T08:53:39Z | # Sharp Monocular View Synthesis in Less Than a Second
[](https://apple.github.io/ml-sharp/)
[](https://arxiv.org/abs/2512.10685)
This software project accompanies the research paper: _Sha... | [] |
Sahabat-AI/Llama-Sahabat-AI-v2-70B-IT | Sahabat-AI | 2025-05-30T15:41:58Z | 170 | 12 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"id",
"jv",
"su",
"bbc",
"ban",
"arxiv:2310.04928",
"arxiv:2502.14301",
"arxiv:2311.07911",
"arxiv:2306.05685",
"license:llama3.1",
"text-generation-inference",
"endpoints_compatible",
"region:us"
... | text-generation | 2025-05-30T13:56:10Z | # Llama-Sahabat-AI-v2-70B-IT
Sahabat-AI is a collection of Large Language Models (LLMs) which have been pretrained and instruct-tuned for Indonesia.
- **Co-initiated by:** PT GoTo Gojek Tokopedia Tbk, Indosat Ooredoo Hutchison
- **Developed by:** PT GoTo Gojek Tokopedia Tbk, AI Singapore
- **Model type:** Decoder
-... | [
{
"start": 2,
"end": 28,
"text": "Llama-Sahabat-AI-v2-70B-IT",
"label": "benchmark name",
"score": 0.6160010695457458
},
{
"start": 851,
"end": 859,
"text": "IndoMMLU",
"label": "benchmark name",
"score": 0.7279036045074463
},
{
"start": 952,
"end": 960,
"... |
MPX0222forHF/SQL-R1-7B | MPX0222forHF | 2025-06-03T12:52:23Z | 1,216 | 6 | null | [
"safetensors",
"qwen2",
"arxiv:2504.08600",
"license:apache-2.0",
"region:us"
] | null | 2025-05-15T11:15:46Z | <div align="center">
<h1>SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning</h1>
</div>
<div align="center">
<p>
<a href="https://github.com/MPX0222">Peixian Ma</a><sup>1,2</sup>
<a href="https://idea-finai.github.io/SQL-R1/">Xialie Zhuang</a><sup>1,3</sup> &nbs... | [] |
AscendKernelGen/KernelGen-LM-14B | AscendKernelGen | 2026-04-28T09:44:45Z | 781 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"code-generation",
"npu",
"ascend",
"chain-of-thought",
"conversational",
"en",
"zh",
"dataset:AscendKernelGen/Ascend-COT-v2-packed",
"arxiv:2601.07160",
"base_model:Qwen/Qwen3-14B-Base",
"base_model:finetune:Qwen/Qwen3-14B-Base"... | text-generation | 2026-01-23T10:15:26Z | # AscendKernelGen/KernelGen-LM-14B
[](https://arxiv.org/abs/2601.07160)
KernelGen-LM-14B is a state-of-the-art domain-adaptive large language model specialized for low-level NPU kernel gene... | [
{
"start": 1910,
"end": 1924,
"text": "NPUKernelBench",
"label": "benchmark name",
"score": 0.6476343274116516
}
] |
bartowski/emma-500-llama2-7b-GGUF | bartowski | 2024-09-30T14:22:06Z | 242 | 2 | null | [
"gguf",
"text-generation",
"dataset:MaLA-LM/mala-monolingual-split",
"base_model:MaLA-LM/emma-500-llama2-7b",
"base_model:quantized:MaLA-LM/emma-500-llama2-7b",
"license:llama2",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-09-30T13:19:42Z | ## Llamacpp imatrix Quantizations of emma-500-llama2-7b
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3841">b3841</a> for quantization.
Original model: https://huggingface.co/MaLA-LM/emma-500-llama2-7b
All quants made using... | [] |
kernels-community/triton_kernels | kernels-community | 2025-10-27T11:03:04Z | 2,359 | 8 | kernels | [
"kernels",
"license:mit",
"region:us"
] | null | 2025-08-05T13:46:53Z | # triton-kernels
triton-kernels is a set of kernels that enable fast moe on different architectures. These kernels are compatible with different precision (e.g bf16, mxfp4)
Original code here https://github.com/triton-lang/triton/tree/main/python/triton_kernels
The current version is the following commit 7d0efaa7231... | [] |
unsloth/gemma-2-9b-it-bnb-4bit | unsloth | 2024-11-22T08:17:03Z | 13,214 | 31 | transformers | [
"transformers",
"safetensors",
"gemma2",
"text-generation",
"unsloth",
"gemma",
"google",
"conversational",
"en",
"base_model:google/gemma-2-9b-it",
"base_model:quantized:google/gemma-2-9b-it",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"bitsandbytes... | text-generation | 2024-07-03T05:17:04Z | # Finetune Gemma, Llama 3, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a Google Colab Tesla T4 notebook for **Gemma 2 (9B)** here: https://colab.research.google.com/drive/1vIrqH5uYDQwsJ4-OO3DErvuv4pBgVwk4?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%... | [] |
facebook/opt-6.7b | facebook | 2023-01-24T17:10:29Z | 40,608 | 119 | 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 | 2022-05-11T08:26:52Z | # 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... | [] |
EleutherAI/pythia-14m-deduped | EleutherAI | 2026-02-12T04:16:13Z | 19,470 | 29 | transformers | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"en",
"dataset:EleutherAI/pile",
"arxiv:2304.01373",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"reg... | text-generation | 2023-07-19T13:57:54Z | # Pythia-14M-deduped
### Model Details
- **Developed by:** [EleutherAI](http://eleuther.ai)
- **Model type:** Transformer-based Language Model
- **Language:** English
- **Learn more:** [Pythia's GitHub repository](https://github.com/EleutherAI/pythia) for training procedure, config files, and details on how to use. [... | [
{
"start": 1233,
"end": 1246,
"text": "Learning Rate",
"label": "evaluation metric",
"score": 0.6580450534820557
}
] |
mradermacher/Josiefied-Qwen3-8B-abliterated-v1-GGUF | mradermacher | 2025-05-01T02:00:16Z | 7,934 | 26 | transformers | [
"transformers",
"gguf",
"chat",
"en",
"base_model:Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1",
"base_model:quantized:Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-04-30T16:25:28Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1
<!-- provided-files -->
weighted/imatrix quants are available at htt... | [] |
OmniLottie/OmniLottie | OmniLottie | 2026-03-23T07:37:08Z | 631 | 64 | null | [
"pytorch",
"safetensors",
"lottie_decoder",
"arxiv:2603.02138",
"region:us"
] | null | 2026-01-16T03:12:02Z | <!-- <div align= "center">
<h1> Official repo for OmniSVG</h1>
</div> -->
<h3 align="center"><strong>OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens
</strong></h3>
<div align="center">
<a href='https://arxiv.org/abs/2603.02138'><img src='https://img.shields.io/badge/arXiv-2603.02138-b31... | [] |
JANGQ-AI/Nemotron-3-Super-120B-A12B-JANG_2L | JANGQ-AI | 2026-03-22T19:39:51Z | 637 | 1 | mlx | [
"mlx",
"safetensors",
"nemotron_h",
"jang",
"quantized",
"mixed-precision",
"apple-silicon",
"reasoning",
"thinking",
"moe",
"mamba",
"nemotron",
"text-generation",
"conversational",
"custom_code",
"en",
"zh",
"ko",
"base_model:nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8",
"ba... | text-generation | 2026-03-20T17:57:38Z | <p align="center">
<a href="https://mlx.studio"><img src="https://raw.githubusercontent.com/jjang-ai/jangq/main/assets/mlx-studio-light.png" alt="MLX Studio" width="500"></a>
</p>
<p align="center">
<a href="https://mlx.studio"><img src="https://mlx.studio/assets/screenshots/mlx-studio-featured.png?v=1" alt="MLX S... | [] |
llava-hf/LLaVA-NeXT-Video-7B-hf | llava-hf | 2025-11-11T12:37:05Z | 132,043 | 122 | transformers | [
"transformers",
"safetensors",
"llava_next_video",
"image-text-to-text",
"video-text-to-text",
"en",
"dataset:lmms-lab/VideoChatGPT",
"arxiv:2405.21075",
"license:llama2",
"endpoints_compatible",
"region:us"
] | video-text-to-text | 2024-06-05T13:28:32Z | # LLaVA-NeXT-Video Model Card
Check out also the Google Colab demo to run Llava on a free-tier Google Colab instance: [](https://colab.research.google.com/drive/1CZggLHrjxMReG-FNOmqSOdi4z7NPq6SO?usp=sharing)
Disclaimer: The team releasing LLaVa... | [] |
Mungert/MiroThinker-v1.5-30B-GGUF | Mungert | 2026-02-19T20:46:15Z | 1,092 | 1 | transformers | [
"transformers",
"gguf",
"agent",
"open-source",
"miromind",
"deep-research",
"text-generation",
"en",
"arxiv:2511.11793",
"base_model:Qwen/Qwen3-30B-A3B-Thinking-2507",
"base_model:quantized:Qwen/Qwen3-30B-A3B-Thinking-2507",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",... | text-generation | 2026-02-18T15:34:31Z | # <span style="color: #7FFF7F;">MiroThinker-v1.5-30B GGUF Models</span>
## <span style="color: #7F7FFF;">Model Generation Details</span>
This model was generated using [llama.cpp](https://github.com/ggerganov/llama.cpp) at commit [`05fa625ea`](https://github.com/ggerganov/llama.cpp/commit/05fa625eac5bbdbe88b43f85715... | [] |
mradermacher/Qwen3.6-27B-Uncensored-Aggressive-GGUF | mradermacher | 2026-05-03T11:01:41Z | 453 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"refusal-ablated",
"vllm",
"pytorch",
"bf16",
"max",
"alignment-modified",
"reasoning",
"agent",
"en",
"dataset:prithivMLmods/harm_bench",
"base_model:prithivMLmods/Qwen3.6... | null | 2026-05-02T14:42:04Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
twinkle-ai/gemma-3-4B-T1-it-GGUF | twinkle-ai | 2026-01-30T02:56:09Z | 1,214 | 3 | transformers | [
"transformers",
"gguf",
"Taiwan",
"SLM",
"GGUF",
"agent",
"text-generation",
"en",
"zh",
"dataset:lianghsun/tw-reasoning-instruct",
"dataset:lianghsun/tw-contract-review-chat",
"dataset:minyichen/tw-instruct-R1-200k",
"dataset:minyichen/tw_mm_R1",
"dataset:minyichen/LongPaper_multitask_zh_... | text-generation | 2026-01-04T08:29:14Z | # Gemma 3 4B T1-it GGUF Collection
<div align="center" style="line-height: 1;">
<a href="https://discord.gg/Cx737yw4ed" target="_blank" style="margin: 2px;">
<img alt="Discord" src="https://img.shields.io/badge/Discord-Twinkle%20AI-7289da?logo=discord&logoColor=white&color=7289da" style="display: inline-block; v... | [] |
Mungert/WEBGEN-4B-Preview-GGUF | Mungert | 2025-09-24T15:44:56Z | 118 | 2 | transformers | [
"transformers",
"gguf",
"web-generation",
"html",
"css",
"tailwind-css",
"ui-generation",
"web-design",
"small-model",
"qwen3",
"text-generation",
"en",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"endpoints_compat... | text-generation | 2025-09-04T17:01:07Z | # <span style="color: #7FFF7F;">WEBGEN-4B-Preview GGUF Models</span>
## <span style="color: #7F7FFF;">Model Generation Details</span>
This model was generated using [llama.cpp](https://github.com/ggerganov/llama.cpp) at commit [`fb15d649`](https://github.com/ggerganov/llama.cpp/commit/fb15d649ed14ab447eeab911e0c9d21... | [] |
mradermacher/GPT2-Hacker-password-generator-GGUF | mradermacher | 2025-09-11T19:20:37Z | 166 | 3 | transformers | [
"transformers",
"gguf",
"cybersecurity",
"passwords",
"en",
"dataset:CodeferSystem/GPT2-Hacker-password-generator-dataset",
"base_model:CodeferSystem/GPT2-Hacker-password-generator",
"base_model:quantized:CodeferSystem/GPT2-Hacker-password-generator",
"license:apache-2.0",
"endpoints_compatible",
... | null | 2025-08-21T21:49:14Z | ## 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 qu... | [] |
DavidAU/gemma-3-it-vl-40B-Gemini-Heretic-Uncensored-Thinking | DavidAU | 2026-04-04T07:35:47Z | 118 | 2 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"unsloth",
"fine tune",
"heretic",
"uncensored",
"abliterated",
"multi-stage tuned.",
"all use cases",
"coder",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generat... | image-text-to-text | 2026-04-01T06:23:49Z | <small><b><font color="red">WARNING:</font></B> This model has character and intelligence. It will take no prisoners. It will give no quarter. Uncensored,
Unfiltered and boldly confident. And it is wickedly smart too.</small>
<h2>gemma-3-it-vl-40B-Gemini-Heretic-Uncensored-Thinking</h2>
<img src="qwen-vl.gif" style=... | [] |
OpenMed/OpenMed-PII-Italian-SnowflakeMed-Large-568M-v1 | OpenMed | 2026-02-10T18:57:37Z | 12,175 | 1 | transformers | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"ner",
"pii",
"pii-detection",
"de-identification",
"privacy",
"healthcare",
"medical",
"clinical",
"phi",
"italian",
"pytorch",
"openmed",
"it",
"base_model:Snowflake/snowflake-arctic-embed-l-v2.0",
"base_mode... | token-classification | 2026-02-10T18:57:03Z | # OpenMed-PII-Italian-SnowflakeMed-Large-568M-v1
**Italian PII Detection Model** | 568M Parameters | Open Source
[]() []() []... | [
{
"start": 188,
"end": 197,
"text": "Precision",
"label": "evaluation metric",
"score": 0.644634485244751
},
{
"start": 1318,
"end": 1327,
"text": "Precision",
"label": "evaluation metric",
"score": 0.7815707325935364
},
{
"start": 1482,
"end": 1491,
"text... |
NousResearch/DeepHermes-3-Llama-3-8B-Preview | NousResearch | 2025-04-10T17:22:44Z | 236 | 352 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"Llama-3",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation",
"function calling",
"json mode",
"axolotl",
"roleplaying",
"chat",
"reasoning",
"r1",
"vllm",
"conversational",
"en",
"base_mode... | text-generation | 2025-02-12T04:09:45Z | # DeepHermes 3 - Llama-3.1 8B
## Model Description
DeepHermes 3 Preview is the latest version of our flagship Hermes series of LLMs by Nous Research, and one of the first models in the world to un... | [] |
Helsinki-NLP/opus-mt-tc-bible-big-mul-mul | Helsinki-NLP | 2024-10-12T07:31:52Z | 154 | 11 | transformers | [
"transformers",
"pytorch",
"safetensors",
"marian",
"text2text-generation",
"translation",
"opus-mt-tc-bible",
"aa",
"ab",
"ace",
"ach",
"ady",
"af",
"afh",
"aii",
"ak",
"akl",
"alt",
"am",
"ami",
"amu",
"an",
"ang",
"anp",
"aoz",
"ar",
"arc",
"as",
"ast",
"... | translation | 2024-10-09T16:20:51Z | # opus-mt-tc-bible-big-mul-mul
## Table of Contents
- [Model Details](#model-details)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [How to Get Started With the Model](#how-to-get-started-with-the-model)
- [Training](#training)
- [Evaluation](#evaluation)
- [Citation Information](#... | [] |
qualcomm/WideResNet50 | qualcomm | 2026-04-28T06:56:02Z | 159 | 1 | pytorch | [
"pytorch",
"backbone",
"android",
"image-classification",
"arxiv:1605.07146",
"license:other",
"region:us"
] | image-classification | 2024-02-25T22:47:53Z | 
# WideResNet50: Optimized for Qualcomm Devices
WideResNet50 is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more compl... | [] |
01-ai/Yi-6B | 01-ai | 2024-11-11T03:31:32Z | 10,676 | 376 | transformers | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"arxiv:2403.04652",
"arxiv:2311.16502",
"arxiv:2401.11944",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2023-11-01T11:14:36Z | <div align="center">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_dark.svg" width="200px">
<source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_light.sv... | [] |
vantagewithai/LongCat-Image-Edit-Turbo-GGUF | vantagewithai | 2026-03-24T02:02:31Z | 343 | 1 | transformers | [
"transformers",
"gguf",
"image-to-image",
"en",
"zh",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-to-image | 2026-03-22T15:23:44Z | **Quantized GGUF Version for ComfyUI**
**Original model Link:** [https://huggingface.co/meituan-longcat/LongCat-Image-Edit-Turbo](https://huggingface.co/meituan-longcat/LongCat-Image-Edit-Turbo)
**Watch us at Youtube:** [@VantageWithAI](https://www.youtube.com/@vantagewithai)
<div align="center">
<img src="https:/... | [] |
Tevatron/AgentIR-4B | Tevatron | 2026-03-11T03:13:07Z | 478 | 5 | transformers | [
"transformers",
"safetensors",
"qwen3",
"feature-extraction",
"arxiv:2603.04384",
"base_model:Qwen/Qwen3-Embedding-4B",
"base_model:finetune:Qwen/Qwen3-Embedding-4B",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2026-03-07T05:22:00Z | # AgentIR-4B
AgentIR-4B is a retriever specialized for Deep Research agents. Unlike conventional retrievers that process queries with no awareness of the agent, AgentIR explicitly incorporates the agent's reasoning trace by jointly embedding it with the query, leveraging the rich intent and contextual information expr... | [] |
onnx-community/granite-embedding-small-english-r2-ONNX | onnx-community | 2025-09-29T17:19:28Z | 678 | 1 | transformers.js | [
"transformers.js",
"onnx",
"modernbert",
"feature-extraction",
"granite",
"embeddings",
"transformers",
"mteb",
"sentence-similarity",
"en",
"arxiv:2508.21085",
"base_model:ibm-granite/granite-embedding-small-english-r2",
"base_model:quantized:ibm-granite/granite-embedding-small-english-r2",... | sentence-similarity | 2025-09-26T18:32:29Z | # Granite-Embedding-Small-English-R2
**Model Summary:** Granite-embedding-small-english-r2 is a 47M parameter dense biencoder embedding model from the Granite Embeddings collection that can be used to generate high quality text embeddings. This model produces embedding vectors of size 384 based on context length of up... | [
{
"start": 642,
"end": 646,
"text": "BEIR",
"label": "benchmark name",
"score": 0.7219985723495483
},
{
"start": 648,
"end": 654,
"text": "ClapNQ",
"label": "benchmark name",
"score": 0.6926622986793518
},
{
"start": 714,
"end": 718,
"text": "MLDR",
"l... |
deepseek-ai/DeepSeek-Math-V2 | deepseek-ai | 2025-11-27T10:35:52Z | 4,994 | 685 | transformers | [
"transformers",
"safetensors",
"deepseek_v32",
"text-generation",
"conversational",
"base_model:deepseek-ai/DeepSeek-Math-V2",
"base_model:quantized:deepseek-ai/DeepSeek-Math-V2",
"license:apache-2.0",
"endpoints_compatible",
"fp8",
"region:us"
] | text-generation | 2025-11-27T09:54:23Z | <!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div align="center" style="line-... | [] |
ZERO-POINT-INTELLIGENCE-LTD/MARTHA-27B-Qwen2.5-Omni | ZERO-POINT-INTELLIGENCE-LTD | 2026-03-24T20:01:14Z | 571 | 6 | null | [
"gguf",
"qwen",
"qwen2_5",
"ghost-pass",
"zero-point-intelligence-ltd",
"martha",
"vision",
"conversational",
"GGUF",
"image-text-to-text",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-03-13T04:43:52Z | # MARTHA-27B-Qwen2.5-Omni (Official Core Release)
**Developer:** Zero Point Intelligence Ltd, Scotland
**Model Family:** MARTHA Core
**Architecture:** 27B parameter vision-language (image-text-to-text) model
**License:** Apache 2.0
---
## System Prompt
```
You are Martha, a 27B parameter AI with full vision and lan... | [] |
TheBloke/llama2_70b_chat_uncensored-GGUF | TheBloke | 2023-09-27T12:48:20Z | 1,881 | 47 | transformers | [
"transformers",
"gguf",
"llama",
"uncensored",
"wizard",
"vicuna",
"dataset:ehartford/wizard_vicuna_70k_unfiltered",
"arxiv:2305.14314",
"base_model:jarradh/llama2_70b_chat_uncensored",
"base_model:quantized:jarradh/llama2_70b_chat_uncensored",
"license:llama2",
"region:us"
] | null | 2023-09-06T20:04:11Z | <!-- 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... | [] |
Chris-Kode/sweep-next-edit-1.5b-mlx | Chris-Kode | 2026-01-24T19:00:21Z | 115 | 2 | mlx | [
"mlx",
"safetensors",
"qwen2",
"code",
"autocomplete",
"next-edit",
"text-generation",
"base_model:Xenova/sweep-next-edit-1.5B",
"base_model:quantized:Xenova/sweep-next-edit-1.5B",
"license:apache-2.0",
"8-bit",
"region:us"
] | text-generation | 2026-01-24T18:42:24Z | # Sweep Next-Edit 1.5B (MLX)
A 1.5B parameter model for next-edit autocomplete, quantized to 8bit MLX format.
## Model Description
Sweep Next-Edit predicts your next code edit before you make it. It runs locally on your laptop in under 500ms (with speculative decoding) and outperforms models over 4x its size on next... | [] |
DavidAU/Llama3.2-30B-A3B-II-Dark-Champion-INSTRUCT-Heretic-Abliterated-Uncensored | DavidAU | 2025-12-02T00:52:19Z | 512 | 10 | transformers | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"mixture of experts",
"moe",
"8x3B",
"Llama 3.2 MOE",
"128k context",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fic... | text-generation | 2025-11-30T03:11:47Z | <B><font color="red">WARNING "HERETIC" version:</font> Unlocked. UNFILTERED. NSFW. Vivid prose. INTENSE. Visceral Details. Light HORROR. Swearing. UNCENSORED... humor, romance, fun. </B>
<h2>Llama3.2-30B-A3B-II-Dark-Champion-INSTRUCT-Heretic-Abliterated-Uncensored</h2>
<img src="dark-champ.jpg" style="float:right; wi... | [] |
mradermacher/LLaDA-MoE-7B-A1B-Instruct-GGUF | mradermacher | 2025-09-18T13:06:07Z | 276 | 4 | transformers | [
"transformers",
"gguf",
"dllm",
"diffusion",
"llm",
"text_generation",
"en",
"base_model:inclusionAI/LLaDA-MoE-7B-A1B-Instruct",
"base_model:quantized:inclusionAI/LLaDA-MoE-7B-A1B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-18T10:46:48Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
unicorn-team/Unicorn-VL-R3 | unicorn-team | 2026-02-06T10:38:51Z | 171 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"dataset:allenai/Dolci-Think-SFT-7B",
"dataset:unicorn-team/dolci-vi-5k",
"dataset:unicorn-team/unicorn-12task",
"base_model:Qwen/Qwen3-VL-8B-Thinking",
"base_model:finetune:Qwen/Qwen3-VL-8B-Thinking",
"endpoints_... | image-text-to-text | 2025-12-03T00:17:05Z | # Unicorn-VL-R3
## 1. Dữ liệu huấn luyện
- Synthetic 12 task từ Gemini: Bởi vì chất lượng thinking của API Gemini không tốt nên team sử dụng chiến lược sinh câu hỏi response - sau đó sinh giả lập thinking như dưới đây:
1. Tạo Synthetic Syllabus (bao gồm cấp bậc (Tiểu học/THCS/THPT/) - Lớp - môn học - Chủ đề trong ... | [] |
cardiffnlp/twitter-xlm-roberta-base-sentiment | cardiffnlp | 2023-07-19T20:41:38Z | 921,902 | 255 | transformers | [
"transformers",
"pytorch",
"tf",
"xlm-roberta",
"text-classification",
"multilingual",
"arxiv:2104.12250",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | # twitter-XLM-roBERTa-base for Sentiment Analysis
This is a multilingual XLM-roBERTa-base model trained on ~198M tweets and finetuned for sentiment analysis. The sentiment fine-tuning was done on 8 languages (Ar, En, Fr, De, Hi, It, Sp, Pt) but it can be used for more languages (see paper for details).
- Paper: [XLM-... | [] |
speakleash/Bielik-4.5B-v3.0-Instruct-GGUF | speakleash | 2026-01-28T17:14:39Z | 45,618 | 14 | transformers | [
"transformers",
"gguf",
"finetuned",
"text-generation",
"pl",
"arxiv:2505.02550",
"base_model:speakleash/Bielik-4.5B-v3.0-Instruct",
"base_model:quantized:speakleash/Bielik-4.5B-v3.0-Instruct",
"license:apache-2.0",
"region:us",
"conversational"
] | text-generation | 2025-05-03T14:22:45Z | <p align="center">
<img src="https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1-GGUF/raw/main/speakleash_cyfronet.png">
</p>
# Bielik-4.5B-v3.0-Instruct-GGUF
This repo contains GGUF format model files for [SpeakLeash](https://speakleash.org/)'s [Bielik-4.5B-v.3.0-Instruct](https://huggingface.co/speakleash/B... | [] |
mradermacher/Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER-i1-GGUF | mradermacher | 2025-12-16T04:14:23Z | 1,649 | 12 | transformers | [
"transformers",
"gguf",
"programming",
"code generation",
"code",
"codeqwen",
"moe",
"coding",
"coder",
"qwen2",
"chat",
"qwen",
"qwen-coder",
"Qwen3-30B-A3B-Thinking-2507",
"Qwen3-30B-A3B",
"mixture of experts",
"128 experts",
"8 active experts",
"256k context",
"qwen3",
"fi... | null | 2025-08-21T21:46:16Z | ## 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": 685,
"end": 779,
"text": "Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER-i1-GGUF",
"label": "benchmark name",
"score": 0.6387538909912109
}
] |
fomofo/tap-ct-b-3d | fomofo | 2026-03-04T11:19:39Z | 641 | 4 | null | [
"safetensors",
"tapct",
"custom_code",
"arxiv:2512.00872",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2025-11-25T18:58:34Z | # TAP-CT: 3D Task-Agnostic Pretraining of CT Foundation Models
[](https://arxiv.org/abs/2512.00872)
TAP-CT is a suite of foundation models for computed tomography (CT) imaging, pretrained in a task-agnostic manner through an adaptation of DINOv2 for volum... | [
{
"start": 67,
"end": 72,
"text": "arXiv",
"label": "benchmark name",
"score": 0.6225873231887817
}
] |
mradermacher/gemma-3-12b-it-heretic-x-i1-GGUF | mradermacher | 2025-12-28T16:47:01Z | 1,475 | 12 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:LastRef/gemma-3-12b-it-heretic-x",
"base_model:quantized:LastRef/gemma-3-12b-it-heretic-x",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-24T15:57:30Z | ## 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": 625,
"end": 657,
"text": "gemma-3-12b-it-heretic-x-i1-GGUF",
"label": "benchmark name",
"score": 0.610366702079773
}
] |
zed-industries/zeta | zed-industries | 2025-10-08T08:01:32Z | 27,048 | 403 | null | [
"safetensors",
"qwen2",
"dataset:zed-industries/zeta",
"license:apache-2.0",
"region:us"
] | null | 2025-01-30T15:21:48Z | <img src="https://cdn-uploads.huggingface.co/production/uploads/644a8bc1cb1654dcb6e762f9/6296GYaJsrUBSAeUwUHvm.png" width="100">
# Edit Prediction: Fine-Tuned from Qwen2.5-Coder-7B
This repository contains a fine-tuned version of **Qwen2.5-Coder-7B** to support [edit prediction](https://zed.dev/edit-prediction) in Z... | [] |
Maincode/Maincoder-1B-GGUF | Maincode | 2026-01-02T05:41:13Z | 323 | 2 | transformers | [
"transformers",
"gguf",
"code",
"python",
"maincoder",
"code-generation",
"quantized",
"text-generation",
"en",
"base_model:Maincode/Maincoder-1B",
"base_model:quantized:Maincode/Maincoder-1B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-01-02T05:40:51Z | <img src="https://huggingface.co/datasets/Maincode/assets/resolve/e51154e034201be1a5dad0e9c8de31d8b9f17643/maincoder_logo.png" alt="" width="1250">
# Maincoder-1B-GGUF
GGUF quantizations of [**Maincoder-1B**](https://huggingface.co/Maincode/Maincoder-1B), a code-focused language model optimized for code generation an... | [] |
destitech/controlnet-inpaint-dreamer-sdxl | destitech | 2024-04-23T20:20:39Z | 1,282 | 122 | diffusers | [
"diffusers",
"safetensors",
"art",
"controlnet",
"stable-diffusion",
"stable-diffusion-xl",
"image-to-image",
"license:openrail",
"region:us"
] | image-to-image | 2023-09-24T19:50:47Z | # Controlnet - Inpainting dreamer
This ControlNet has been conditioned on **Inpainting** and **Outpainting**.
**It is an early alpha version made by experimenting in order to learn more about controlnet.**
**You want to support this kind of work and the development of this model ? Feel free to [buy me a coffee](http... | [] |
cs2764/Qwen3.5-397B-A17B-6bit-abliterated-mlx | cs2764 | 2026-03-03T06:32:10Z | 700 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"abliteration",
"uncensored",
"experimental",
"license:other",
"6-bit",
"region:us"
] | null | 2026-03-03T05:09:07Z | # Qwen3.5-397B-A17B-6bit-abliterated
This model was created using the [mlx-abliteration](https://github.com/cs2764/mlx-abliteration) toolkit,
which is based on the [FiditeNemini/mlx-abliteration](https://github.com/FiditeNemini/mlx-abliteration) project.
## Base Model
Original model: `./models/Qwen3.5-397B-A17B-6bit... | [] |
mradermacher/Circuitry_24B_V.3-i1-GGUF | mradermacher | 2025-12-10T12:31:22Z | 167 | 2 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"creative",
"en",
"ru",
"base_model:OddTheGreat/Circuitry_24B_V.3",
"base_model:quantized:OddTheGreat/Circuitry_24B_V.3",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2025-10-16T03:57:01Z | ## 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_... | [] |
ostris/face-helper-sdxl-lora | ostris | 2023-09-15T15:06:46Z | 327 | 6 | diffusers | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"photorealism",
"realistic",
"face",
"closeup",
"tool",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:adapter:stabilityai/stable-diffusion-xl-base-1.0",
"license:other",
"region:us"
] | text-to-image | 2023-09-15T15:06:40Z | # Face Helper - SDXL LoRA
> rick sanchez from rick and morty, lab coat, drooling, drunk
([CivitAI](https://civitai.com/models/145974))
<ul><li><p>No trigger word needed</p></li><li><p>Only makes faces</p></li><li><p>Weight of 1.0</p></li><li><p>Helps make faces more realistic</p></li><l... | [] |
BioMistral/BioMistral-7B | BioMistral | 2024-02-21T20:53:27Z | 152,190 | 495 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"mistral",
"text-generation",
"medical",
"biology",
"conversational",
"fr",
"en",
"de",
"nl",
"es",
"pt",
"pl",
"ro",
"it",
"arxiv:2402.10373",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure... | text-generation | 2024-02-14T11:33:32Z | <p align="center">
<img src="https://huggingface.co/BioMistral/BioMistral-7B/resolve/main/wordart_blue_m_rectangle.png?download=true" alt="drawing" width="250"/>
</p>
# BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
**Abstract:**
Large Language Models (LLMs) have demon... | [
{
"start": 849,
"end": 859,
"text": "BioMistral",
"label": "benchmark name",
"score": 0.6695314645767212
}
] |
calcuis/pig | calcuis | 2025-05-09T00:52:46Z | 1,393 | 12 | null | [
"gguf",
"pig",
"gguf-node",
"gguf-connector",
"en",
"base_model:connector/pig-1k",
"base_model:quantized:connector/pig-1k",
"doi:10.57967/hf/4582",
"license:mit",
"region:us"
] | null | 2025-01-31T21:08:28Z | # **gguf quantized version of pig🐷**
[<img src="https://raw.githubusercontent.com/calcuis/comfy/master/pig.gif" width="128" height="128">](https://github.com/calcuis/gguf)
- tiny model but good quality output
- **🐷pig** is a lightweight architecture
- good performance on old machine
- upgrade your node for **pig** su... | [] |
gghfez/Qwen3.5-27b-control-vectors | gghfez | 2026-03-16T10:40:45Z | 523 | 1 | transformers | [
"transformers",
"gguf",
"control-vector",
"creative-writing",
"text-generation",
"en",
"base_model:Qwen/Qwen3.5-27B",
"base_model:adapter:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-03T11:12:37Z | ## gghfez/qwen-3.5-27b-control-vectors
Creative Writing control-vectors for [Qwen/Qwen3.5-27B](https://huggingface.co/Qwen/Qwen3.5-27B)
## Available Vectors
- `optimism_vs_nihilism`
- `empathy_vs_soc... | [] |
RedHatAI/phi-4-FP8-dynamic | RedHatAI | 2025-09-25T15:36:46Z | 4,356 | 2 | null | [
"safetensors",
"phi3",
"phi",
"nlp",
"math",
"code",
"chat",
"conversational",
"neuralmagic",
"redhat",
"llmcompressor",
"quantized",
"FP8",
"compressed-tensors",
"text-generation",
"en",
"base_model:microsoft/phi-4",
"base_model:quantized:microsoft/phi-4",
"license:mit",
"regi... | text-generation | 2025-03-03T22:11:29Z | <h1 style="display: flex; align-items: center; gap: 10px; margin: 0;">
phi-4-FP8-dynamic
<img src="https://www.redhat.com/rhdc/managed-files/Catalog-Validated_model_0.png" alt="Model Icon" width="40" style="margin: 0; padding: 0;" />
</h1>
<a href="https://www.redhat.com/en/products/ai/validated-models" target="... | [] |
tomg-group-umd/huginn-0125 | tomg-group-umd | 2025-07-29T09:40:51Z | 3,519 | 291 | transformers | [
"transformers",
"safetensors",
"huginn_raven",
"text-generation",
"code",
"math",
"reasoning",
"llm",
"conversational",
"custom_code",
"en",
"dataset:tomg-group-umd/huginn-dataset",
"arxiv:2502.05171",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-01-08T11:12:38Z | # Huginn-0125
This is Huginn, version 01/25, a latent recurrent-depth model with 3.5B parameters, trained for 800B tokens on AMD MI250X machines. This is a proof-of-concept model, but surprisingly capable in reasoning and code given its training budget and size.
All details on this model can be found in the tech report... | [] |
nvidia/AceMath-1.5B-Instruct | nvidia | 2025-01-17T12:38:41Z | 2,703 | 16 | null | [
"safetensors",
"qwen2",
"nvidia",
"AceMath",
"math",
"CoT",
"pytorch",
"text-generation",
"conversational",
"en",
"arxiv:2412.15084",
"license:cc-by-nc-4.0",
"region:us"
] | text-generation | 2025-01-13T14:47:42Z | ## Introduction
We introduce AceMath, a family of frontier models designed for mathematical reasoning. The models in AceMath family, including AceMath-1.5B/7B/72B-Instruct and AceMath-7B/72B-RM, are <b>Improved using Qwen</b>.
The AceMath-1.5B/7B/72B-Instruct models excel at solving English mathematical problems using... | [
{
"start": 1707,
"end": 1726,
"text": "AceMath-RewardBench",
"label": "benchmark name",
"score": 0.7561637163162231
}
] |
mratsim/MiniMax-M2.5-FP8-INT4-AWQ | mratsim | 2026-02-17T12:05:04Z | 8,599 | 18 | llm-compressor | [
"llm-compressor",
"safetensors",
"minimax_m2",
"fp8",
"awq",
"conversational",
"vllm",
"code",
"devops",
"software engineering",
"engineer",
"developer",
"architect",
"stem",
"agent",
"text-generation",
"custom_code",
"dataset:HuggingFaceH4/ultrachat_200k",
"dataset:databricks/da... | text-generation | 2026-02-17T11:43:50Z | # MiniMax M2.5 (Mixed-Precision FP8 + INT4 AWQ FrankenQuant)
This strives to be the highest quality quant that can run on 192GiB VRAM
> [!TIP]
> 💡 A non-FP8 version is available at [mratsim/MiniMax-M2.5-BF16-INT4-AWQ](https://huggingface.co/mratsim/MiniMax-M2.5-BF16-INT4-AWQ) \
> That version is compatible with 8x... | [] |
LuffyTheFox/Qwen3.5-27B-Claude-4.6-Opus-Uncensored-V2-Kullback-Leibler-GGUF | LuffyTheFox | 2026-04-02T05:52:08Z | 15,422 | 29 | null | [
"gguf",
"qwen3_5",
"unsloth",
"qwen",
"qwen3.5",
"reasoning",
"chain-of-thought",
"lora",
"uncensored",
"image-text-to-text",
"en",
"zh",
"ko",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"dataset:Roman1111111/claude-opus-4.6-10000x",... | image-text-to-text | 2026-03-26T06:00:58Z | # 🌟 This is Qwen3.5-27B-Claude-4.6-Opus-Uncensored-V2-Kullback-Leibler-GGUF model made via delta merge for [Jackrong](https://huggingface.co/Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUF) model and [HauhauCS](https://huggingface.co/HauhauCS/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive) model with fixe... | [] |
baa-ai/Gemma-4-26B-A4B-it-RAM-14GB-MLX | baa-ai | 2026-04-16T11:37:12Z | 1,573 | 5 | mlx | [
"mlx",
"safetensors",
"gemma4",
"quantized",
"mixed-precision",
"moe",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:quantized:google/gemma-4-26B-A4B-it",
"license:gemma",
"4-bit",
"region:us"
] | null | 2026-04-07T03:55:03Z | # Gemma-4-26B-A4B-it — 14GB (MLX)
Mixed-precision quantized version of [google/gemma-4-26B-A4B-it](https://huggingface.co/google/gemma-4-26B-A4B-it) optimised by [baa.ai](https://baa.ai) using a proprietary Black Sheep AI method.
## Metrics
| Metric | Value |
|--------|-------|
| **Size** | *... | [
{
"start": 338,
"end": 342,
"text": "MMLU",
"label": "evaluation metric",
"score": 0.797941267490387
},
{
"start": 359,
"end": 363,
"text": "MMLU",
"label": "evaluation metric",
"score": 0.8221907019615173
},
{
"start": 367,
"end": 371,
"text": "BF16",
... |
jhu-clsp/mmBERT-small | jhu-clsp | 2025-10-17T16:06:00Z | 19,751 | 66 | transformers | [
"transformers",
"pytorch",
"modernbert",
"fill-mask",
"aai",
"aak",
"aau",
"aaz",
"aba",
"abi",
"abk",
"abn",
"abq",
"abs",
"abt",
"abx",
"aby",
"abz",
"aca",
"acd",
"ace",
"acf",
"ach",
"acm",
"acn",
"acr",
"acu",
"ada",
"ade",
"adh",
"adi",
"adj",
"a... | fill-mask | 2025-08-21T15:05:56Z | # mmBERT: A Modern Multilingual Encoder
[](https://opensource.org/licenses/MIT)
[](https://arxiv.org/abs/2509.06888)
[](https://... | [] |
stabilityai/stablelm-zephyr-3b | stabilityai | 2024-07-10T12:01:23Z | 17,944 | 260 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"causal-lm",
"conversational",
"en",
"dataset:HuggingFaceH4/ultrachat_200k",
"dataset:HuggingFaceH4/ultrafeedback_binarized",
"dataset:meta-math/MetaMathQA",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"dataset:Intel/orca_dpo... | text-generation | 2023-11-21T16:25:10Z | # `StableLM Zephyr 3B`
Please note: For commercial use, please refer to https://stability.ai/license.
## Model Description
`StableLM Zephyr 3B` is a 3 billion parameter instruction tuned inspired by [HugginFaceH4's Zephyr 7B](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) training pipeline this model was train... | [
{
"start": 499,
"end": 507,
"text": "MT Bench",
"label": "benchmark name",
"score": 0.7481673359870911
},
{
"start": 548,
"end": 564,
"text": "Alpaca Benchmark",
"label": "benchmark name",
"score": 0.8350321054458618
}
] |
unsloth/MiniMax-M2.1 | unsloth | 2025-12-26T12:51:43Z | 117 | 11 | transformers | [
"transformers",
"safetensors",
"minimax_m2",
"text-generation",
"unsloth",
"conversational",
"custom_code",
"arxiv:2509.06501",
"base_model:MiniMaxAI/MiniMax-M2.1",
"base_model:quantized:MiniMaxAI/MiniMax-M2.1",
"license:other",
"endpoints_compatible",
"fp8",
"region:us"
] | text-generation | 2025-12-26T12:51:15Z | > [!NOTE]
> Includes Unsloth **chat template fixes**! <br> For `llama.cpp`, use `--jinja`
>
<div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
... | [] |
QuantTrio/Kimi-K2.5-E304 | QuantTrio | 2026-02-02T01:02:22Z | 11,373 | 3 | transformers | [
"transformers",
"safetensors",
"kimi_k25",
"feature-extraction",
"vLLM",
"sglang",
"Int4",
"image-text-to-text",
"conversational",
"custom_code",
"base_model:moonshotai/Kimi-K2.5",
"base_model:quantized:moonshotai/Kimi-K2.5",
"region:us"
] | image-text-to-text | 2026-01-30T10:05:12Z | # Kimi-K2.5-E304
Base model: [moonshotai/Kimi-K2.5](https://huggingface.co/moonshotai/Kimi-K2.5)
This repo trims 20% of the experts (384 → 304);
The model format and serving setup (vLLM/SGLang versions and launch commands) match the original release.
### 【Logs】
```
2026-01-30
1. Initial commit
```
### 【Model Files... | [] |
vafipas663/Qwen-Edit-2509-Upscale-LoRA | vafipas663 | 2025-11-17T13:36:57Z | 15,423 | 226 | diffusers | [
"diffusers",
"lora",
"image-to-image",
"dataset:zhihefang/UltraHR-100K",
"dataset:1aurent/unsplash-lite",
"base_model:Qwen/Qwen-Image-Edit-2509",
"base_model:adapter:Qwen/Qwen-Image-Edit-2509",
"license:gpl-3.0",
"region:us"
] | image-to-image | 2025-11-05T13:14:01Z | 
**Still work in progress, checkpoints are being uploaded on the go**
**Current best:** LoRA A: qwen-edit-enhance_64-v3_000001000, LoRA B: qwen-edit-enhance_000004250
**V4 Can... | [] |
gkraker04/Ornstein-Hermes-3.6-27B-SABER | gkraker04 | 2026-05-04T01:22:02Z | 7,636 | 1 | llama.cpp | [
"llama.cpp",
"gguf",
"llama-cpp",
"qwen3.5",
"text-generation",
"saber",
"refusal-shaping",
"abliteration",
"en",
"arxiv:2406.11717",
"arxiv:2507.11878",
"base_model:GestaltLabs/Ornstein-Hermes-3.6-27b",
"base_model:quantized:GestaltLabs/Ornstein-Hermes-3.6-27b",
"license:other",
"endpoi... | text-generation | 2026-04-29T07:14:32Z | 
# Adjacent Quantizations
These are the adjacent GGUF quantizations of [GestaltLabs/Ornstein-Hermes-3.6-27b-SABER](https://huggingface.co/GestaltLabs/Ornstein-Hermes-3.6-27b-SABER), a SABER-edited version of [GestaltLab... | [] |
monsoon-nlp/hindi-bert | monsoon-nlp | 2023-09-20T22:22:29Z | 756 | 20 | transformers | [
"transformers",
"pytorch",
"tf",
"safetensors",
"electra",
"feature-extraction",
"hi",
"doi:10.57967/hf/1305",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | feature-extraction | 2022-03-02T23:29:05Z | # Releasing Hindi ELECTRA model
This is a first attempt at a Hindi language model trained with Google Research's [ELECTRA](https://github.com/google-research/electra).
**As of 2022 I recommend Google's MuRIL model trained on English, Hindi, and other major Indian languages, both in their script and latinized script**... | [] |
MaziyarPanahi/calme-3.2-instruct-78b | MaziyarPanahi | 2025-01-20T07:58:16Z | 993 | 193 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"qwen",
"qwen2.5",
"finetune",
"english",
"conversational",
"en",
"license:other",
"model-index",
"text-generation-inference",
"deploy:azure",
"region:us"
] | text-generation | 2024-11-19T04:28:40Z | <img src="./calme_3.png" alt="Calme-3 Models" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
> [!TIP]
> This is an experimental model, so it might not perform well for some prompts and may be sensitive to hyper parameters. I would appreciate any feedback to see if I can fix any issues in ... | [
{
"start": 680,
"end": 684,
"text": "GGUF",
"label": "evaluation metric",
"score": 0.634283185005188
},
{
"start": 1500,
"end": 1506,
"text": "IFEval",
"label": "evaluation metric",
"score": 0.6050629019737244
}
] |
nvidia/nemotron-ocr-v2 | nvidia | 2026-04-28T02:04:16Z | 2,341 | 154 | null | [
"image",
"ocr",
"object recognition",
"text recognition",
"layout analysis",
"ingestion",
"multilingual",
"image-to-text",
"en",
"zh",
"ja",
"ko",
"ru",
"es",
"fr",
"de",
"it",
"nl",
"pt",
"license:other",
"region:us"
] | image-to-text | 2026-04-01T19:57:09Z | # Nemotron OCR v2
## **Model Overview**
### **Description**
Nemotron OCR v2 is a state-of-the-art multilingual text recognition model designed for robust end-to-end optical character recognition (OCR) on complex real-world images. It integrates three core neural network modules: a detector for text region localizati... | [] |
nguyenvulebinh/AVSRCocktail | nguyenvulebinh | 2025-07-07T14:06:31Z | 160 | 1 | transformers | [
"transformers",
"safetensors",
"avhubert_avsr",
"automatic-speech-recognition",
"audio-visual-speech-recognition",
"multimodal",
"speech-recognition",
"lip-reading",
"cocktail-party",
"noise-robust",
"av-hubert",
"transformer",
"pytorch",
"audio",
"video",
"english",
"lrs2",
"voxce... | automatic-speech-recognition | 2025-07-04T09:55:41Z | # AVSRCocktail: Audio-Visual Speech Recognition for Cocktail Party Scenarios
**Official implementation** of "[Cocktail-Party Audio-Visual Speech Recognition](https://arxiv.org/abs/2506.02178)" (Interspeech 2025).
A robust audio-visual speech recognition system designed for multi-speaker environments and noisy cocktai... | [
{
"start": 195,
"end": 211,
"text": "Interspeech 2025",
"label": "benchmark name",
"score": 0.7743229269981384
}
] |
lmstudio-community/KAT-Dev-MLX-8bit | lmstudio-community | 2025-09-30T16:25:26Z | 1,191 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"mlx",
"conversational",
"multilingual",
"base_model:Kwaipilot/KAT-Dev",
"base_model:quantized:Kwaipilot/KAT-Dev",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"8-bit",
"region:us"
] | text-generation | 2025-09-30T16:24:29Z | ## 💫 Community Model> KAT-Dev by Kwaipilot
_👾 [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**: [Kwaipilot](https://huggingface.co/Kwaipilot)<br>
**Origin... | [] |
unsloth/Qwen3-4B-Thinking-2507-GGUF | unsloth | 2025-09-11T19:20:16Z | 9,583 | 96 | transformers | [
"transformers",
"gguf",
"qwen",
"qwen3",
"unsloth",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-4B-Thinking-2507",
"base_model:quantized:Qwen/Qwen3-4B-Thinking-2507",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-06T19:14:20Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/qwen3-680edabfb790c8c34a242f95">our collection</a> for all versions of Qwen3 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to run Qwen3-2507 co... | [] |
hugging-quants/Meta-Llama-3.1-70B-Instruct-AWQ-INT4 | hugging-quants | 2024-08-07T07:16:54Z | 132,831 | 109 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-3.1",
"meta",
"autoawq",
"conversational",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"license:llama3.1",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"awq",
"deploy:azure",
"region:us... | text-generation | 2024-07-19T11:08:55Z | > [!IMPORTANT]
> This repository is a community-driven quantized version of the original model [`meta-llama/Meta-Llama-3.1-70B-Instruct`](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) which is the FP16 half-precision official version released by Meta AI.
## Model Information
The Meta Llama 3.1 collec... | [] |
Wan-AI/Wan2.1-T2V-14B-Diffusers | Wan-AI | 2025-04-04T02:28:17Z | 16,647 | 50 | diffusers | [
"diffusers",
"safetensors",
"video generation",
"text-to-video",
"en",
"zh",
"license:apache-2.0",
"diffusers:WanPipeline",
"region:us"
] | text-to-video | 2025-03-01T08:39:52Z | # 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... | [] |
TheDrummer/Cydonia-24B-v4.3 | TheDrummer | 2025-12-17T15:08:15Z | 1,905 | 74 | null | [
"safetensors",
"mistral",
"base_model:mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"base_model:finetune:mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"region:us"
] | null | 2025-11-08T23:46:41Z | # Join our Discord! https://discord.gg/BeaverAI
## More than 9000 members strong 💪 A hub for users and makers alike!
---
## Drummer is open for new opportunities (I'm a Software Engineer). Contact me through any of these channels: https://linktr.ee/thelocaldrummer
### Thank you to everyone who subscribed through [Patr... | [] |
HuggingFaceTB/SmolLM2-1.7B-intermediate-checkpoints | HuggingFaceTB | 2025-02-27T15:07:58Z | 1,154 | 3 | transformers | [
"transformers",
"en",
"arxiv:2502.02737",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-02-26T12:08:37Z | # SmolLM2-1.7B Intermediate Checkpoints
We are releasing an intermediate checkpoint of SmolLM2 to enable further research on mechanistic interpretability and learning dynamics. This repo contains the checkpoint every 125000 steps which correspond to ~250B tokens.
## How to Load a Checkpoint
```python
# pip install tr... | [] |
QuantTrio/gemma-4-31B-it-AWQ | QuantTrio | 2026-04-17T04:22:48Z | 68,043 | 6 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"vLLM",
"AWQ",
"conversational",
"base_model:google/gemma-4-31B-it",
"base_model:quantized:google/gemma-4-31B-it",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"awq",
"region:us"
] | image-text-to-text | 2026-04-03T23:59:34Z | # gemma-4-31B-it-AWQ
Base model: [google/gemma-4-31B-it](https://huggingface.co/google/gemma-4-31B-it)
This repo quantizes the model using data-free quantization (no calibration dataset required).
### 【Dependencies / Installation】
```python
vllm>=0.19.0
transformers>=5.5.0
```
As of **2026-04-03**, make sure your ... | [] |
yiyanghkust/finbert-tone | yiyanghkust | 2022-10-17T00:35:39Z | 987,343 | 217 | transformers | [
"transformers",
"pytorch",
"tf",
"text-classification",
"financial-sentiment-analysis",
"sentiment-analysis",
"en",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | `FinBERT` is a BERT model pre-trained on financial communication text. The purpose is to enhance financial NLP research and practice. It is trained on the following three financial communication corpus. The total corpora size is 4.9B tokens.
- Corporate Reports 10-K & 10-Q: 2.5B tokens
- Earnings Call Transcripts: 1.3B... | [] |
allenai/OLMo-2-0425-1B | allenai | 2025-05-28T20:35:45Z | 497,125 | 72 | transformers | [
"transformers",
"safetensors",
"olmo2",
"text-generation",
"en",
"arxiv:2501.00656",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-04-17T22:45:45Z | ## Model Details
<img alt="OLMo Logo" src="https://huggingface.co/datasets/allenai/blog-images/resolve/main/olmo2/olmo.png" width="242px" style="margin-left:'auto' margin-right:'auto' display:'block'">
# Model Card for OLMo 2 1B
We introduce OLMo 2 1B, the smallest model in the OLMo 2 family.
OLMo 2 was pre-trained... | [] |
ZERO-POINT-INTELLIGENCE-LTD/Mr-MARTIN-9B-3.5_vision-OMNI | ZERO-POINT-INTELLIGENCE-LTD | 2026-04-07T10:20:15Z | 561 | 7 | null | [
"safetensors",
"gguf",
"qwen3_5_text",
"Z.P.I",
"ghost pass",
"Scottish",
"dundee",
"code",
"nsfw",
"adults only",
"ZERO-POINT-AI",
"Miss_MARTHA",
"Mr_Martin",
"image-text-to-text",
"conversational",
"en",
"zh",
"ko",
"es",
"fr",
"de",
"ja",
"th",
"base_model:ZERO-POINT... | image-text-to-text | 2026-04-02T14:59:56Z | license: apache-2.0
en
zh
ja
th
vi
es
fr
it
de
base_model: Qwen/Qwen3.5-9B
pipeline_tag: image-text-to-text
tags:
zero-point-ai
martin
qwen
qwen3.5
omni
fine-tuned
gguf
dundee
scotland
conversational
unrestricted
# MARTIN-9B-OMNI
By Zero Point Intelligence Ltd, Dundee, Scotland.
Omni model fine-tuned from Qwen 3.5 9... | [] |
Helsinki-NLP/opus-mt-en-de | Helsinki-NLP | 2023-08-16T11:29:21Z | 474,825 | 42 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"de",
"license:cc-by-4.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | translation | 2022-03-02T23:29:04Z | ### opus-mt-en-de
## 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-t... | [] |
mradermacher/tigerlily-r1-GGUF | mradermacher | 2025-11-16T20:32:30Z | 321 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:cathuriges/tigerlily-r1",
"base_model:quantized:cathuriges/tigerlily-r1",
"endpoints_compatible",
"region:us"
] | null | 2025-11-16T20:21:32Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 512,
"end": 529,
"text": "tigerlily-r1-GGUF",
"label": "benchmark name",
"score": 0.6447526812553406
}
] |
2toINF/X-VLA-Pt | 2toINF | 2025-11-16T16:16:25Z | 10,795 | 11 | null | [
"safetensors",
"xvla",
"robotics",
"vla",
"custom_code",
"arxiv:2510.10274",
"base_model:microsoft/Florence-2-large",
"base_model:finetune:microsoft/Florence-2-large",
"license:apache-2.0",
"region:us"
] | robotics | 2025-11-04T14:23:57Z | # X-VLA 0.9B (Foundation Edition)
**Repository:** [2toINF/X-VLA](https://github.com/2toinf/X-VLA)
**Authors:** [2toINF](https://github.com/2toINF) | **License:** Apache 2.0
**Paper:** *Zheng et al., 2025, “X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model”* ([arXiv:2510.102... | [] |
Qwen/Qwen3-VL-235B-A22B-Instruct-GGUF | Qwen | 2025-11-01T03:17:04Z | 338 | 13 | null | [
"gguf",
"image-text-to-text",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-235B-A22B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-235B-A22B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-10-31T08:39:08Z | <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>
# Qwen3-VL-235B-A22B-Instruct-GGUF
This repository provides GGUF-format weights f... | [] |
inclusionAI/ZwZ-2B-GGUF | inclusionAI | 2026-03-06T10:36:32Z | 243 | 1 | transformers | [
"transformers",
"gguf",
"image-text-to-text",
"en",
"dataset:inclusionAI/ZwZ-RL-VQA",
"dataset:inclusionAI/ZoomBench",
"arxiv:2602.11858",
"base_model:inclusionAI/ZwZ-2B",
"base_model:quantized:inclusionAI/ZwZ-2B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2026-03-05T05:56:22Z | **ZwZ-2B-GGUF**
This repository provides GGUF-format weights for [ZwZ-2B](https://huggingface.co/inclusionAI/ZwZ-2B), split into two components:
- Language model (LLM): FP16, Q8_0, Q4_K_M
- Vision encoder (mmproj): FP16, Q8_0, Q4_K_M
These files are compatible with llama.cpp, Ollama, and other GGUF-based tools, su... | [] |
allura-forge/Llama-3.3-8B-Instruct | allura-forge | 2025-12-31T08:22:19Z | 1,442 | 204 | null | [
"safetensors",
"llama",
"license:llama3.3",
"region:us"
] | null | 2025-12-30T02:10:12Z | # Llama 3.3 8B Instruct
Yes, this is official, and yes, this is, to my knowledge, a real version of Llama 3.3 8B!
**I would highly recommend trying both this model, and [a version with the Llama 3.3 70B config applied to extend the context length to 128k](/shb777/Llama-3.3-8B-Instruct). I am unsure as to which one of... | [
{
"start": 2,
"end": 14,
"text": "Llama 3.3 8B",
"label": "benchmark name",
"score": 0.6601272225379944
},
{
"start": 101,
"end": 113,
"text": "Llama 3.3 8B",
"label": "benchmark name",
"score": 0.6786176562309265
},
{
"start": 528,
"end": 540,
"text": "Ll... |
prithivMLmods/Qwen3-VL-2B-Thinking-abliterated-v1-GGUF | prithivMLmods | 2025-12-15T16:19:38Z | 292 | 1 | transformers | [
"transformers",
"gguf",
"qwen3_vl",
"text-generation-inference",
"abliterated",
"llama.cpp",
"image-text-to-text",
"en",
"base_model:prithivMLmods/Qwen3-VL-2B-Thinking-abliterated-v1",
"base_model:quantized:prithivMLmods/Qwen3-VL-2B-Thinking-abliterated-v1",
"license:apache-2.0",
"endpoints_co... | image-text-to-text | 2025-12-15T15:57:19Z | # **Qwen3-VL-2B-Thinking-abliterated-v1-GGUF**
> The Qwen3-VL-2B-Thinking-abliterated-v1 from prithivMLmods is a 2B-parameter vision-language model variant of Alibaba's Qwen3-VL-2B-Thinking, modified through abliteration (v1.0) to eliminate safety refusals and content filters, enabling uncensored, step-by-step visual ... | [] |
ggml-org/gemma-3-27b-it-GGUF | ggml-org | 2025-05-21T15:38:17Z | 2,303 | 24 | null | [
"gguf",
"image-text-to-text",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.00161",
"arxiv:2009.03300",
"arxiv:2304.06364",
"arxiv:2103.03874",
"arxiv:2110.14168",
"arxiv:2311.12022"... | image-text-to-text | 2025-03-12T06:49:48Z | # Gemma 3 model card
**Model Page**: [Gemma](https://ai.google.dev/gemma/docs/core)
**Resources and Technical Documentation**:
* [Gemma 3 Technical Report][g3-tech-report]
* [Responsible Generative AI Toolkit][rai-toolkit]
* [Gemma on Kaggle][kaggle-gemma]
* [Gemma on Vertex Model Garden][vertex-mg-gemma3]
**Terms ... | [] |
wincode/kerala-crime-detective-gemma | wincode | 2026-04-03T20:44:51Z | 221 | 1 | transformers | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"fine-tuned",
"gemma",
"kerala",
"malayalam",
"crime",
"comedy",
"manglish",
"cybercrime",
"detective",
"gradio",
"conversational",
"ml",
"en",
"dataset:wincode/kerala-crime-comedy-dataset",
"base_model:google/gemma... | text-generation | 2026-04-02T23:02:28Z | # 🔍 Kerala Crime Detective — Malayalam + English + Manglish AI
<p align="center">
<img src="https://img.shields.io/badge/Language-Malayalam%20%7C%20English%20%7C%20Manglish-blue" />
<img src="https://img.shields.io/badge/Base%20Model-Gemma%203%201B-orange" />
<img src="https://img.shields.io/badge/Task-Crime%20... | [] |
mradermacher/Nemotron-Cascade-14B-Thinking-i1-GGUF | mradermacher | 2025-12-21T06:52:06Z | 123 | 2 | transformers | [
"transformers",
"gguf",
"nvidia",
"nemotron-cascade",
"reasoning",
"general-purpose",
"SFT",
"RL",
"pytorch",
"en",
"base_model:nvidia/Nemotron-Cascade-14B-Thinking",
"base_model:quantized:nvidia/Nemotron-Cascade-14B-Thinking",
"license:other",
"endpoints_compatible",
"region:us",
"ima... | null | 2025-12-21T04:22:18Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 628,
"end": 665,
"text": "Nemotron-Cascade-14B-Thinking-i1-GGUF",
"label": "benchmark name",
"score": 0.6479197144508362
},
{
"start": 1234,
"end": 1271,
"text": "Nemotron-Cascade-14B-Thinking-i1-GGUF",
"label": "benchmark name",
"score": 0.6246080994606018
}... |
mradermacher/GPT-OSS-26B-abliterated-Preview-GGUF | mradermacher | 2025-08-09T16:39:04Z | 122 | 1 | transformers | [
"transformers",
"gguf",
"vllm",
"unsloth",
"abliterated",
"mergekit",
"gpt_oss",
"en",
"base_model:win10/GPT-OSS-26B-abliterated-Preview",
"base_model:quantized:win10/GPT-OSS-26B-abliterated-Preview",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-09T10:12:57Z | ## 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 qu... | [
{
"start": 525,
"end": 561,
"text": "GPT-OSS-26B-abliterated-Preview-GGUF",
"label": "benchmark name",
"score": 0.6710968017578125
}
] |
TheBloke/tigerbot-13B-chat-v5-GGUF | TheBloke | 2024-01-16T21:54:06Z | 194 | 2 | transformers | [
"transformers",
"gguf",
"llama",
"zh",
"en",
"base_model:TigerResearch/tigerbot-13b-chat-v5",
"base_model:quantized:TigerResearch/tigerbot-13b-chat-v5",
"license:apache-2.0",
"region:us"
] | null | 2024-01-15T16:49:40Z | <!-- markdownlint-disable MD041 -->
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content:... | [] |
bartowski/DeepSeek-R1-Distill-Qwen-32B-abliterated-GGUF | bartowski | 2025-01-25T20:26:49Z | 6,420 | 132 | null | [
"gguf",
"abliterated",
"uncensored",
"text-generation",
"base_model:huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated",
"base_model:quantized:huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-01-25T18:36:36Z | ## Llamacpp imatrix Quantizations of DeepSeek-R1-Distill-Qwen-32B-abliterated
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4546">b4546</a> for quantization.
Original model: https://huggingface.co/huihui-ai/DeepSeek-R1-Disti... | [] |
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