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 |
|---|---|---|---|---|---|---|---|---|---|---|
qualcomm/MobileNet-v3-Small | qualcomm | 2026-04-28T07:00:38Z | 185 | 4 | pytorch | [
"pytorch",
"backbone",
"bu_auto",
"real_time",
"android",
"image-classification",
"arxiv:1905.02244",
"license:other",
"region:us"
] | image-classification | 2024-02-25T22:36:27Z | 
# MobileNet-v3-Small: Optimized for Qualcomm Devices
MobileNetV3Small is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in bui... | [] |
Mungert/gemma-3-270m-it-GGUF | Mungert | 2025-09-24T15:44:52Z | 139 | 1 | transformers | [
"transformers",
"gguf",
"gemma3",
"gemma",
"google",
"text-generation",
"arxiv:2503.19786",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:2311.07911",
"arxiv:2311.12022",
"arxiv:2411.04368",
"arxiv:1904.... | text-generation | 2025-08-15T11:36:43Z | # <span style="color: #7FFF7F;">gemma-3-270m-it 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 [`79c1160b`](https://github.com/ggerganov/llama.cpp/commit/79c1160b073b8148a404f3dd2584be160... | [] |
mradermacher/Qwen2.5-7B-Instruct-abliterated-GGUF | mradermacher | 2025-04-30T05:22:39Z | 1,425 | 4 | transformers | [
"transformers",
"gguf",
"chat",
"abliterated",
"uncensored",
"zho",
"eng",
"fra",
"spa",
"por",
"deu",
"ita",
"rus",
"jpn",
"kor",
"vie",
"tha",
"ara",
"base_model:huihui-ai/Qwen2.5-7B-Instruct-abliterated",
"base_model:quantized:huihui-ai/Qwen2.5-7B-Instruct-abliterated",
"l... | null | 2024-09-20T17:31:33Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/huihui-ai/Qwen2.5-7B-Instruct-abliterated
<!-- provided-files -->
weighted/imatrix quants are available at https://huggi... | [] |
huihui-ai/Qwen2.5-72B-Instruct-abliterated | huihui-ai | 2025-06-06T09:15:07Z | 413,452 | 41 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"abliterated",
"uncensored",
"conversational",
"zho",
"eng",
"fra",
"spa",
"por",
"deu",
"ita",
"rus",
"jpn",
"kor",
"vie",
"tha",
"ara",
"base_model:Qwen/Qwen2.5-72B-Instruct",
"base_model:finetune:Qwen/Q... | text-generation | 2024-10-26T02:52:09Z | # huihui-ai/Qwen2.5-72B-Instruct-abliterated
This is an uncensored version of [Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
This is... | [] |
Sowkwndms/DeepSeek-R1-0528-Qwen3-8B-abliterated-Q5_K_M-GGUF | Sowkwndms | 2025-05-30T09:47:29Z | 1,493 | 1 | transformers | [
"transformers",
"gguf",
"chat",
"abliterated",
"uncensored",
"llama-cpp",
"gguf-my-repo",
"base_model:huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated",
"base_model:quantized:huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"... | null | 2025-05-30T09:47:01Z | # Sowkwndms/DeepSeek-R1-0528-Qwen3-8B-abliterated-Q5_K_M-GGUF
This model was converted to GGUF format from [`huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated`](https://huggingface.co/huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/g... | [] |
WithinUsAI/Gemma3-Prompt.Coder.Uncensored.270m-GGUF | WithinUsAI | 2026-02-08T09:26:50Z | 320 | 3 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"dataset:microsoft/rStar-Coder",
"dataset:gokaygokay/prompt-enhancement-75k",
"dataset:gokaygokay/prompt-enhancer-dataset",
"base_model:AxionLab-official/DogeAI-v1.5-Coder",
"base_model:merge:AxionLab-official/DogeAI-v1.5-Coder",
"base_model:broadfield-... | null | 2026-02-08T08:36:05Z | # Gemma-3-Prompt-Coder-270m-it (Uncensored)
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
### Models Merged
The following models... | [] |
nvidia/bigvgan_v2_22khz_80band_256x | nvidia | 2024-09-05T03:36:23Z | 1,192,550 | 26 | PyTorch | [
"PyTorch",
"neural-vocoder",
"audio-generation",
"audio-to-audio",
"arxiv:2206.04658",
"license:mit",
"region:us"
] | audio-to-audio | 2024-07-15T14:07:18Z | ## BigVGAN: A Universal Neural Vocoder with Large-Scale Training
#### Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon
[[Paper]](https://arxiv.org/abs/2206.04658) - [[Code]](https://github.com/NVIDIA/BigVGAN) - [[Showcase]](https://bigvgan-demo.github.io/) - [[Project Page]](https://research.nvid... | [] |
open-machine/Qwen3-1.7B-FlashNorm | open-machine | 2026-04-23T16:32:06Z | 161 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"flashnorm",
"transformer-tricks",
"efficient-inference",
"weightless-rmsnorm",
"conversational",
"arxiv:2407.09577",
"base_model:Qwen/Qwen3-1.7B",
"base_model:finetune:Qwen/Qwen3-1.7B",
"license:apache-2.0",
"text-generation-infer... | text-generation | 2026-04-22T17:26:35Z | # Qwen3-1.7B-FlashNorm
This is a FlashNorm-prepared checkpoint of [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B), as presented in the paper [FlashNorm: Fast Normalization for Transformers](https://arxiv.org/abs/2407.09577) by Nils Graef, Matthew Clapp, and Andrew Wasielewski.
Mathematically equivalent to t... | [] |
ByteDance-Seed/SeedVR2-3B | ByteDance-Seed | 2025-06-22T08:35:30Z | 2,270 | 101 | seedvr | [
"seedvr",
"video-to-video",
"arxiv:2506.05301",
"license:apache-2.0",
"region:us"
] | video-to-video | 2025-06-10T15:59:52Z | <div align="center">
<img src="assets/seedvr_logo.png" alt="SeedVR" width="400"/>
</div>
# SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
> [Jianyi Wang](https://iceclear.github.io), [Shanchuan Lin](https://scholar.google.com/citations?user=EDWUw7gAAAAJ&hl=en), [Zhijie Lin](https://scho... | [] |
odats/rl_nmt_2026_04_11_13_52 | odats | 2026-04-13T15:10:37Z | 3,056 | 1 | transformers | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"generated_from_trainer",
"trl",
"grpo",
"conversational",
"arxiv:2402.03300",
"base_model:google/gemma-3-1b-it",
"base_model:finetune:google/gemma-3-1b-it",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-11T13:52:14Z | # Model Card for rl_nmt_2026_04_11_13_52
This model is a fine-tuned version of [google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine, b... | [] |
2toINF/X-VLA-WidowX | 2toINF | 2025-11-11T10:27:50Z | 496 | 3 | 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 | 2025-11-04T12:46:50Z | # X-VLA 0.9B (WidowX Edition)
**Repository:** [2toINF/X-VLA-0.9B-WidowX](https://huggingface.co/2toINF/X-VLA-0.9B-WidowX)
**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 ... | [] |
jinaai/jina-embeddings-v4-text-code-GGUF | jinaai | 2025-09-18T09:36:08Z | 1,226 | 12 | null | [
"gguf",
"base_model:jinaai/jina-embeddings-v4",
"base_model:quantized:jinaai/jina-embeddings-v4",
"endpoints_compatible",
"region:eu"
] | null | 2025-07-18T03:50:18Z | # jina-embeddings-v4-gguf
A collection of GGUF and quantizations for [`jina-embeddings-v4`](https://huggingface.co/jinaai/jina-embeddings-v4).
> [!IMPORTANT]
> We highly recommend to first read [this blog post for more technical details and customized llama.cpp build](https://jina.ai/news/optimizing-ggufs-for-decoder... | [] |
sigridjineth/ctxl-rerank-v2-1b-seq-cls | sigridjineth | 2025-08-28T06:51:03Z | 129 | 6 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-classification",
"reranker",
"sequence-classification",
"multilingual",
"bfloat16",
"32k",
"text-ranking",
"base_model:ContextualAI/ctxl-rerank-v2-instruct-multilingual-1b",
"base_model:finetune:ContextualAI/ctxl-rerank-v2-instruct-multilingual-1b"... | text-ranking | 2025-08-28T06:43:52Z | # Contextual AI Reranker v2 1B — **SequenceClassification (single-logit) Converted Model**
This repository contains a **drop-in SequenceClassification** version of the original **ContextualAI/ctxl-rerank-v2-instruct-multilingual-1b**.
It exposes a **single logit per input** (one score) that is **numerically equivalent... | [] |
mradermacher/GPT-OSS-Code-Reasoning-20B-i1-GGUF | mradermacher | 2025-12-16T02:55:31Z | 362 | 1 | transformers | [
"transformers",
"gguf",
"code-reasoning",
"coding",
"reasoning",
"problem-solving",
"algorithms",
"python",
"c++",
"competitive-programming",
"vllm",
"en",
"dataset:nvidia/OpenCodeReasoning-2",
"dataset:GetSoloTech/Code-Reasoning",
"base_model:GetSoloTech/GPT-OSS-Code-Reasoning-20B",
"... | null | 2025-08-23T02:10:54Z | ## 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": 629,
"end": 663,
"text": "GPT-OSS-Code-Reasoning-20B-i1-GGUF",
"label": "benchmark name",
"score": 0.7045930624008179
},
{
"start": 1229,
"end": 1263,
"text": "GPT-OSS-Code-Reasoning-20B-i1-GGUF",
"label": "benchmark name",
"score": 0.6360242366790771
},
{
... |
mradermacher/gemma-3n-E2B-it-absolute-heresy-MPOA-i1-GGUF | mradermacher | 2026-02-11T10:39:56Z | 250 | 1 | transformers | [
"transformers",
"gguf",
"automatic-speech-recognition",
"automatic-speech-translation",
"audio-text-to-text",
"video-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:MuXodious/gemma-3n-E2B-it-absolute-heresy-MPOA",
"base_model:quantized:MuXodious/gemma-3... | automatic-speech-recognition | 2026-02-11T07:21:05Z | ## 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_... | [] |
halley-ai/gpt-oss-120b-MLX-bf16 | halley-ai | 2025-09-08T05:15:21Z | 376 | 3 | mlx | [
"mlx",
"safetensors",
"gpt_oss",
"apple-silicon",
"metal",
"arm64",
"bf16",
"mlx-lm",
"openai",
"halley-ai",
"text-generation",
"conversational",
"en",
"ro",
"base_model:openai/gpt-oss-120b",
"base_model:quantized:openai/gpt-oss-120b",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2025-09-08T03:55:07Z | # gpt-oss-120b — MLX bf16 (non-quantized)
**Summary.** This is a non-quantized MLX conversion of gpt-oss-120B in bfloat16 (bf16). Built for Apple Silicon with Metal acceleration.
- **Base model:** `openai/gpt-oss-120b` (Apache-2.0)
- **Precision:** bfloat16 (no quantization)
- **Files:** MLX weight shards + `config.j... | [] |
XiaomiMiMo/MiMo-VL-7B-SFT | XiaomiMiMo | 2025-06-07T06:10:01Z | 1,082 | 55 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"conversational",
"arxiv:2506.03569",
"base_model:XiaomiMiMo/MiMo-VL-7B-SFT",
"base_model:finetune:XiaomiMiMo/MiMo-VL-7B-SFT",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-05-30T00:44:26Z | <div align="center">
<picture>
<source srcset="https://github.com/XiaomiMiMo/MiMo-VL/raw/main/figures/Xiaomi_MiMo_darkmode.png?raw=true" media="(prefers-color-scheme: dark)">
<img src="https://github.com/XiaomiMiMo/MiMo-VL/raw/main/figures/Xiaomi_MiMo.png?raw=true" width="60%" alt="Xiaomi-MiMo" />
</picture... | [] |
facebook/w2v-bert-2.0 | facebook | 2024-01-25T13:51:13Z | 2,357,143 | 207 | transformers | [
"transformers",
"safetensors",
"wav2vec2-bert",
"feature-extraction",
"af",
"am",
"ar",
"as",
"az",
"be",
"bn",
"bs",
"bg",
"ca",
"cs",
"zh",
"cy",
"da",
"de",
"el",
"en",
"et",
"fi",
"fr",
"or",
"om",
"ga",
"gl",
"gu",
"ha",
"he",
"hi",
"hr",
"hu",
... | feature-extraction | 2023-12-19T07:41:49Z | # W2v-BERT 2.0 speech encoder
We are open-sourcing our Conformer-based [W2v-BERT 2.0 speech encoder](#w2v-bert-20-speech-encoder) as described in Section 3.2.1 of the [paper](https://arxiv.org/pdf/2312.05187.pdf), which is at the core of our Seamless models.
This model was pre-trained on 4.5M hours of unlabeled audio... | [] |
LunaLan07/BioHiCL-Large | LunaLan07 | 2026-04-14T19:27:28Z | 149 | 1 | null | [
"safetensors",
"bert",
"region:us"
] | null | 2026-04-13T22:18:08Z | # BioHiCL-Large: Hierarchical Multi-Label Contrastive Biomedical Retriever
## Model Card
## 🔍 Overview
BioHiCL-large is a biomedical dense retriever trained with hierarchical MeSH supervision to capture fine-grained semantic relationships between biomedical texts.
Unlike traditional dense retrievers trained with bi... | [] |
Roland-JAAI/klonaudio | Roland-JAAI | 2026-02-15T09:51:58Z | 1,078 | 1 | transformers | [
"transformers",
"safetensors",
"kugelaudio",
"text-generation",
"tts",
"speech-synthesis",
"voice-cloning",
"german",
"european-languages",
"text-to-speech",
"de",
"en",
"es",
"fr",
"it",
"pt",
"nl",
"pl",
"ru",
"uk",
"cs",
"ro",
"hu",
"sv",
"da",
"fi",
"no",
"e... | text-to-speech | 2026-02-15T08:00:03Z | # KlonAudio
**Open-source text-to-speech for European languages with voice cloning**
## About This Model
KlonAudio is a **fork** of [kugelaudio/kugelaudio-0-open](https://huggingface.co/kugelaudio/kugelaudio-0-open) with **restored voice cloning capabilities**.
### What's Different from the Original
The original ... | [] |
unsloth/Apertus-8B-Instruct-2509-unsloth-bnb-4bit | unsloth | 2025-10-02T23:07:35Z | 776 | 1 | transformers | [
"transformers",
"safetensors",
"apertus",
"text-generation",
"multilingual",
"compliant",
"swiss-ai",
"conversational",
"arxiv:2509.14233",
"base_model:swiss-ai/Apertus-8B-2509",
"base_model:quantized:swiss-ai/Apertus-8B-2509",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"bits... | text-generation | 2025-10-02T23:07:14Z | # Apertus
## Table of Contents
1. [Model Summary](#model-summary)
2. [How to use](#how-to-use)
3. [Evaluation](#evaluation)
4. [Training](#training)
5. [Limitations](#limitations)
6. [Legal Aspec... | [
{
"start": 2,
"end": 9,
"text": "Apertus",
"label": "benchmark name",
"score": 0.6226610541343689
},
{
"start": 359,
"end": 366,
"text": "Apertus",
"label": "benchmark name",
"score": 0.6424150466918945
}
] |
ByteDance-Seed/BFS-Prover-V1-7B | ByteDance-Seed | 2025-10-14T22:12:43Z | 177 | 26 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"lean4",
"theorem-proving",
"formal-mathematics",
"conversational",
"en",
"dataset:internlm/Lean-Workbook",
"dataset:internlm/Lean-Github",
"dataset:AI-MO/NuminaMath-CoT",
"arxiv:2502.03438",
"base_model:Qwen/Qwen2.5-Math-7B",
"b... | text-generation | 2025-02-23T23:11:13Z | <div align="center">
<h1 style="font-size: 2.0em;">🚀 BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving</h1>
<div style="display: flex; justify-content: center; gap: 8px; flex-wrap: wrap;">
<a href="https://arxiv.org/abs/2502.03438"><img src="https://img.shields.io/badge/arXiv-... | [] |
kakaocorp/kanana-1.5-2.1b-base | kakaocorp | 2025-05-22T23:38:31Z | 283 | 12 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"ko",
"arxiv:2502.18934",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-04-15T08:42:28Z | <p align="center">
<br>
<picture>
<img src="./assets/logo/kanana-logo.png" width="60%" style="margin: 40px auto;">
</picture>
</br>
<p align="center">
🤗 <a href="https://kko.kakao.com/kananallm">1.5 HF Models</a>   |
  📕 <a href="https://tech.kakao.com/posts/707">1.5 Blog</a>   |
  📜... | [
{
"start": 517,
"end": 533,
"text": "HF model weights",
"label": "evaluation metric",
"score": 0.7740082144737244
},
{
"start": 654,
"end": 670,
"text": "HF model weights",
"label": "evaluation metric",
"score": 0.7958972454071045
}
] |
bartowski/cognitivecomputations_Dolphin-Mistral-24B-Venice-Edition-GGUF | bartowski | 2025-07-07T22:30:02Z | 24,983 | 129 | null | [
"gguf",
"text-generation",
"base_model:dphn/Dolphin-Mistral-24B-Venice-Edition",
"base_model:quantized:dphn/Dolphin-Mistral-24B-Venice-Edition",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-05-09T15:21:21Z | ## Llamacpp imatrix Quantizations of Dolphin-Mistral-24B-Venice-Edition by cognitivecomputations
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b5835">b5835</a> for quantization.
Original model: https://huggingface.co/cognitiv... | [] |
authormist/authormist-originality | authormist | 2025-03-10T15:38:21Z | 2,028 | 17 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"ai-detection",
"paraphrasing",
"originality",
"privacy",
"conversational",
"en",
"dataset:checkgpt",
"base_model:Qwen/Qwen2.5-3B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-3B-Instruct",
"license:mit",
"text-generation-inferenc... | text-generation | 2025-03-10T14:50:13Z | # AuthorMist Originality
[](https://huggingface.co/authormist/originality)
[](https://opensource.org/licenses/MIT)
## Overview
AuthorMist Originality is a specializ... | [] |
NVFP4/Qwen3-Coder-30B-A3B-Instruct-FP4 | NVFP4 | 2025-08-05T11:00:21Z | 30,038 | 19 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"qwen3_moe",
"nvidia",
"ModelOpt",
"Qwen3",
"quantized",
"FP4",
"text-generation",
"conversational",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"license:apache-2.0",
"8-bi... | text-generation | 2025-08-05T10:18:27Z | # Qwen3-Coder-30B-A3B-Instruct
<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>
## Highlights
**Qwen3-Coder** is available in multiple... | [] |
decart-ai/Lucy-Edit-Dev | decart-ai | 2025-11-20T12:33:07Z | 379 | 331 | diffusers | [
"diffusers",
"safetensors",
"video-to-video",
"license:other",
"diffusers:LucyEditPipeline",
"region:us"
] | video-to-video | 2025-09-16T18:14:04Z | # Lucy Edit Dev (5B)
<p align="center">
<img src="assets/logo.png" width="680" alt="Lucy Edit Dev Logo"/>
</p>
<p align="center">
🧪 <a href="https://github.com/DecartAI/lucy-edit-comfyui"><b>GitHub</b></a>
| 📖 <a href="https://platform.decart.ai">Playground</a>
| 📑 <a href="https://... | [] |
isaiahbjork/orpheus-3b-0.1-ft-Q4_K_M-GGUF | isaiahbjork | 2025-03-20T04:03:24Z | 5,296 | 68 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-to-speech",
"en",
"base_model:canopylabs/orpheus-3b-0.1-ft",
"base_model:quantized:canopylabs/orpheus-3b-0.1-ft",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-to-speech | 2025-03-20T01:43:53Z | # Orpheus-TTS-Local
A lightweight client for running [Orpheus TTS](https://huggingface.co/canopylabs/orpheus-3b-0.1-ft) locally using LM Studio API.
{Github Repo](https://github.com/isaiahbjork/orpheus-tts-local)
## Features
- 🎧 High-quality Text-to-Speech using the Orpheus TTS model
- 💻 Completely local - no clo... | [] |
Photoroom/prx-1024-t2i-beta | Photoroom | 2026-02-13T17:59:42Z | 274 | 80 | diffusers | [
"diffusers",
"safetensors",
"diffusion",
"text-to-image",
"photoroom",
"prx",
"open-source",
"image-generation",
"flow-matching",
"license:apache-2.0",
"diffusers:PRXPipeline",
"region:us"
] | text-to-image | 2025-11-06T12:21:13Z | # PRX: Open Text-to-Image Generative Model
**PRX (Photoroom Experimental)** is a **1.3-billion-parameter text-to-image model trained entirely from scratch** and released under an **Apache 2.0 license**.
... | [] |
google/tipsv2-l14-dpt | google | 2026-04-14T22:51:18Z | 473 | 1 | transformers | [
"transformers",
"safetensors",
"tipsv2_dpt",
"feature-extraction",
"vision",
"depth-estimation",
"surface-normals",
"semantic-segmentation",
"dense-prediction",
"custom_code",
"license:apache-2.0",
"region:us"
] | depth-estimation | 2026-04-09T06:51:32Z | # TIPSv2 — L/14 DPT Heads
DPT (Dense Prediction Transformer) heads for depth estimation, surface normal prediction, and semantic segmentation on top of the frozen [TIPSv2 L/14](https://huggingface.co/google/tipsv2-l14) backbone. The backbone is loaded automatically. The depth and normals heads are trained on the NYU D... | [] |
atbender/Qwen3.5-REAP-212B-A17B-W4A16 | atbender | 2026-03-01T13:49:12Z | 1,230 | 23 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"quantized",
"4bit",
"autoround",
"mixture-of-experts",
"moe",
"reap",
"qwen3",
"w4a16",
"4-bit precision",
"auto-round",
"text-generation",
"conversational",
"arxiv:2510.13999",
"base_model:OpenMOSE/Qwen3.5-REAP-2... | text-generation | 2026-02-25T11:22:36Z | # Qwen3.5-REAP-212B-A17B-W4A16
**INT4 Weight-Quantized Qwen 3.5 REAP MoE (212B total / 17B active params)**
A W4A16 quantization of [OpenMOSE/Qwen3.5-REAP-212B-A17B](https://huggingface.co/OpenMOSE/Qwen3.5-REAP-212B-A17B), produced using Intel's [AutoRound](https://github.com/intel/auto-round) with the standard `Neel... | [] |
kholil-lil/wazuh-model | kholil-lil | 2025-04-04T13:57:06Z | 2,292 | 5 | transformers | [
"transformers",
"pytorch",
"safetensors",
"gguf",
"llama",
"text-generation",
"unsloth",
"trl",
"sft",
"conversational",
"en",
"base_model:meta-llama/Llama-3.1-8B",
"base_model:quantized:meta-llama/Llama-3.1-8B",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"re... | text-generation | 2025-03-20T07:12:58Z | # Model Card for Wazuh Alert Classifier
## Model Details
### Model Description
This model is designed to classify Wazuh alerts as either **true positive** or **false positive**. It helps SOC analysts reduce false positives by filtering out non-critical alerts. The model is fine-tuned on security logs and Wazuh alert... | [] |
mudler/Qwen3.5-122B-A10B-APEX-GGUF | mudler | 2026-04-27T14:00:14Z | 13,176 | 14 | null | [
"gguf",
"quantized",
"apex",
"moe",
"mixture-of-experts",
"qwen3.5",
"base_model:Qwen/Qwen3.5-122B-A10B",
"base_model:quantized:Qwen/Qwen3.5-122B-A10B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-02T14:46:53Z | <!-- apex-banner-v2 -->
<div style="background-color: #f59e0b; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
<h2 style="color: white; margin: 0 0 10px 0;">⚡ Each donation = another big MoE quantized</h2>
<p style="font-size: 18px; margin: 0 0 15px 0;">I host <b>25+ free APEX Mo... | [
{
"start": 313,
"end": 317,
"text": "APEX",
"label": "benchmark name",
"score": 0.6539493203163147
},
{
"start": 588,
"end": 592,
"text": "APEX",
"label": "benchmark name",
"score": 0.6842774748802185
}
] |
mradermacher/gemma-4-E4B-it-The-DECKARD-Expresso-Universe-HERETIC-UNCENSORED-Thinking-i1-GGUF | mradermacher | 2026-04-18T07:31:14Z | 3,871 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"aliterated",
"finetune",
"unsloth",
"all use cases",
"coder",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"sci... | null | 2026-04-12T05:34:39Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
timteh673/Nemotron-3-Super-120B-A12B-Uncensored-GGUF | timteh673 | 2026-03-30T21:29:47Z | 1,179 | 2 | null | [
"gguf",
"nemotron",
"moe",
"uncensored",
"abliterated",
"120b",
"nvidia",
"h200",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-27T04:43:33Z | # Nemotron-3-Super-120B-A12B-Uncensored-GGUF
> ☕ **If this model saves you time, [buy me a coffee](https://buymeacoffee.com/timteh)!** Every cup fuels more open-weight releases.
>
> ⚡ **Forged on 8×H200 SXM5 | 1.1TB VRAM**
**Abliterated (uncensored) GGUF quantizations of NVIDIA's [Nemotron-3-Super-120B-A12B](https:... | [
{
"start": 822,
"end": 831,
"text": "HellaSwag",
"label": "benchmark name",
"score": 0.679246187210083
},
{
"start": 863,
"end": 873,
"text": "Winogrande",
"label": "benchmark name",
"score": 0.6567912697792053
},
{
"start": 904,
"end": 917,
"text": "ARC-C... |
mistralai/Mixtral-8x7B-Instruct-v0.1 | mistralai | 2025-07-24T16:41:06Z | 521,618 | 4,648 | vllm | [
"vllm",
"safetensors",
"mixtral",
"fr",
"it",
"de",
"es",
"en",
"base_model:mistralai/Mixtral-8x7B-v0.1",
"base_model:finetune:mistralai/Mixtral-8x7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2023-12-10T18:47:12Z | # Model Card for Mixtral-8x7B
### Tokenization with `mistral-common`
```py
from mistral_common.tokens.tokenizers.mistral import MistralTokenizer
from mistral_common.protocol.instruct.messages import UserMessage
from mistral_common.protocol.instruct.request import ChatCompletionRequest
mistral_models_path = "MISTRAL... | [] |
mradermacher/MS3.2-24B-Penumbra-Aether-i1-GGUF | mradermacher | 2026-01-06T09:30:58Z | 212 | 4 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Vortex5/MS3.2-24B-Penumbra-Aether",
"base_model:quantized:Vortex5/MS3.2-24B-Penumbra-Aether",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2026-01-05T11:47:43Z | ## 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_... | [] |
EleutherAI/gpt-j-6b | EleutherAI | 2023-06-21T14:33:36Z | 116,927 | 1,523 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"gptj",
"text-generation",
"causal-lm",
"en",
"dataset:EleutherAI/pile",
"arxiv:2104.09864",
"arxiv:2101.00027",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2022-03-02T23:29:04Z | # GPT-J 6B
## Model Description
GPT-J 6B is a transformer model trained using Ben Wang's [Mesh Transformer JAX](https://github.com/kingoflolz/mesh-transformer-jax/). "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters.
<figure>
| Hyperparameter | Value |
|------... | [] |
MuXodious/gemma-3n-E4B-it-PaperWitch-heresy | MuXodious | 2026-03-01T10:06:04Z | 115 | 1 | transformers | [
"transformers",
"safetensors",
"gemma3n",
"image-text-to-text",
"automatic-speech-recognition",
"automatic-speech-translation",
"audio-text-to-text",
"video-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"arxiv:1905.07830",
"arxiv:1905.10044",
"a... | image-text-to-text | 2026-02-26T04:40:07Z | The nested MatFormer structure of the model proves it difficult to ablate efficiently. Compared to the previous standard and MPOA versions, this version has ~%30 reduced KLD and, in theory, conducing to the refined refusal marker-set, a laser focused ablation. I'm not exactly satisfied, but this is the best I can do at... | [
{
"start": 170,
"end": 173,
"text": "KLD",
"label": "evaluation metric",
"score": 0.6989925503730774
},
{
"start": 897,
"end": 910,
"text": "KL divergence",
"label": "evaluation metric",
"score": 0.6835066080093384
},
{
"start": 1567,
"end": 1580,
"text": ... |
OpenGVLab/InternVL2-8B | OpenGVLab | 2025-03-25T05:56:07Z | 426,237 | 186 | transformers | [
"transformers",
"safetensors",
"internvl_chat",
"feature-extraction",
"internvl",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2410.16261",
"arxiv:2412.05271",
"base_model:OpenGVLab/InternViT-300M-448px",
"base_mode... | image-text-to-text | 2024-06-27T10:03:39Z | # InternVL2-8B
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 Mini-InternVL\]](https://arxiv.org/abs/2410.16261) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.052... | [] |
WithinUsAI/Qwen3-0.6B-rStar-Coder-IF-Expert | WithinUsAI | 2026-02-07T01:59:06Z | 266 | 1 | null | [
"safetensors",
"qwen3",
"dataset:microsoft/rStar-Coder",
"dataset:patrickfleith/instruction-freak-reasoning",
"base_model:Qwen/Qwen3-0.6B",
"base_model:finetune:Qwen/Qwen3-0.6B",
"region:us"
] | null | 2026-02-01T05:07:22Z | ---
base_model:
- Qwen/Qwen3-0.6B
- prithivMLmods/rStar-Coder-Qwen3-0.6B
- suayptalha/Qwen3-0.6B-IF-Expert
datasets:
- microsoft/rStar-Coder
- patrickfleith/instruction-freak-reasoning
# Qwen3-0.6B-rStar-Coder-IF-Expert
A high-skill merged model created with [mergekit](https://github.com/cg123/mergekit) that combine... | [] |
microsoft/llava-rad | microsoft | 2025-11-24T17:30:52Z | 979 | 21 | null | [
"llava",
"arxiv:2403.08002",
"arxiv:2310.03744",
"arxiv:2306.00890",
"arxiv:2303.00915",
"arxiv:2412.10337",
"arxiv:2406.04449",
"license:other",
"region:us"
] | null | 2025-03-20T18:38:07Z | # LLaVA-Rad
This is the official model checkpoint for **LLaVA-Rad**, described in “A Clinically Accessible Small Multimodal Radiology Model and Evaluation Metric for Chest X-Ray
Findings”.
| | |
|:---------|:--------|
| **Developed by** | Microsoft Research |
| **Model type** | [small multimodal transformer model](... | [] |
brandonbeiler/InternVL3_5-8B-FP8-Dynamic | brandonbeiler | 2025-08-28T14:53:22Z | 2,254 | 1 | null | [
"safetensors",
"internvl_chat",
"fp8",
"quantization",
"dynamic",
"vision-language",
"multimodal",
"vllm",
"llm-compressor",
"internvl3.5",
"image-text-to-text",
"conversational",
"custom_code",
"en",
"zh",
"base_model:OpenGVLab/InternVL3_5-8B",
"base_model:quantized:OpenGVLab/Intern... | image-text-to-text | 2025-08-27T17:06:00Z | # 🔥 InternVL3_5-8B-FP8-Dynamic 🔥
This is a **fp8 dynamic (w8a8)** version of [OpenGVLab/InternVL3_5-8B](https://huggingface.co/OpenGVLab/InternVL3_5-8B), optimized for high-performance inference with vLLM.
The model utilizes **fp8 dynamic (w8a8)** for optimal performance and deployment.
## Just Run It (vLLM serve)
... | [] |
mradermacher/Omega-Darker_The-Final-Directive-Longform-ERP-12B-GGUF | mradermacher | 2025-09-01T02:41:12Z | 112 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:SuperbEmphasis/Omega-Darker_The-Final-Directive-Longform-ERP-12B",
"base_model:quantized:SuperbEmphasis/Omega-Darker_The-Final-Directive-Longform-ERP-12B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-01T01:43:10Z | ## 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 qu... | [
{
"start": 552,
"end": 606,
"text": "Omega-Darker_The-Final-Directive-Longform-ERP-12B-GGUF",
"label": "benchmark name",
"score": 0.6138921976089478
}
] |
tokyotech-llm/Qwen3-Swallow-8B-CPT-v0.2 | tokyotech-llm | 2026-02-23T11:51:10Z | 4,020 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"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:2505... | text-generation | 2025-12-27T23:29:43Z | # Qwen3-Swallow
**Qwen3-Swallow v0.2** is a family of large language models available in **8B**, **30B-A3B**, and **32B** parameter sizes. Built as bilingual Japanese-English models, they were developed through Continual Pre-Training (CPT), Supervised Fine-Tuning (SFT), and Reinforcement ... | [] |
TheCluster/Qwen3.5-4B-Heretic-MLX-mxfp8 | TheCluster | 2026-03-05T05:10:30Z | 650 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"heretic",
"uncensored",
"unrestricted",
"decensored",
"abliterated",
"mxfp8",
"image-text-to-text",
"conversational",
"en",
"zh",
"base_model:coder3101/Qwen3.5-4B-heretic",
"base_model:quantized:coder3101/Qwen3.5-4B-heretic",
"license:apache-2.0",
"8... | image-text-to-text | 2026-03-05T01:53:30Z | <div align="center"><img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png"></div>
# Qwen3.5-4B Heretic MLX
Quant: **mxfp8**
This is a abliterated (**uncensored**) version of [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B), made using [Heretic](https://github.com/p-e-w/her... | [] |
mradermacher/X-Coder-SFT-Qwen3-8B-i1-GGUF | mradermacher | 2026-01-11T06:23:39Z | 131 | 1 | transformers | [
"transformers",
"gguf",
"code",
"sft",
"competitive-programming",
"en",
"dataset:IIGroup/X-Coder-SFT-376k",
"base_model:IIGroup/X-Coder-SFT-Qwen3-8B",
"base_model:quantized:IIGroup/X-Coder-SFT-Qwen3-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"... | null | 2026-01-06T04:24:31Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/EXAONE-3.5-7.8B-Instruct-abliterated-GGUF | mradermacher | 2024-12-19T12:00:07Z | 210 | 1 | transformers | [
"transformers",
"gguf",
"lg-ai",
"exaone",
"exaone-3.5",
"abliterated",
"uncensored",
"en",
"ko",
"base_model:huihui-ai/EXAONE-3.5-7.8B-Instruct-abliterated",
"base_model:quantized:huihui-ai/EXAONE-3.5-7.8B-Instruct-abliterated",
"license:other",
"endpoints_compatible",
"region:us",
"con... | null | 2024-12-19T10:56:33Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/huihui-ai/EXAONE-3.5-7.8B-Instruct-abliterated
<!-- provided-files -->
weighted/imatrix quants are available at https://... | [] |
lmstudio-community/Qwen3-VL-30B-A3B-Instruct-MLX-8bit | lmstudio-community | 2025-10-28T14:10:11Z | 62,483 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_vl_moe",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3-VL-30B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-30B-A3B-Instruct",
"license:apache-2.0",
"8-bit",
"region:us"
] | image-text-to-text | 2025-10-14T15:36:49Z | ## 💫 Community Model> Qwen3-VL-30B-A3B-Instruct by Qwen
_👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)_.
**Model creator**: [Qwen](https://huggingface.co/Qwen)<br>
**Ori... | [] |
wcy1122/MGM-Omni-TTS-2B-0927 | wcy1122 | 2025-10-07T04:23:48Z | 137 | 10 | transformers | [
"transformers",
"onnx",
"safetensors",
"MGMTTS",
"text-generation",
"multimodal",
"text-to-speech",
"any-to-any",
"en",
"zh",
"arxiv:2509.25131",
"arxiv:2403.18814",
"base_model:Qwen/Qwen3-1.7B",
"base_model:quantized:Qwen/Qwen3-1.7B",
"license:apache-2.0",
"endpoints_compatible",
"r... | any-to-any | 2025-09-27T13:54:42Z | # MGM-Omni-TTS-2B-0927
<div align="left">
[](https://github.com/dvlab-research/MGM-Omni)
[](https://mg... | [] |
depth-anything/Depth-Anything-V2-Small | depth-anything | 2024-07-08T09:15:27Z | 10,207 | 77 | depth-anything-v2 | [
"depth-anything-v2",
"depth",
"relative depth",
"depth-estimation",
"en",
"arxiv:2406.09414",
"license:apache-2.0",
"region:us"
] | depth-estimation | 2024-06-13T16:00:42Z | # Depth-Anything-V2-Small
## Introduction
Depth Anything V2 is trained from 595K synthetic labeled images and 62M+ real unlabeled images, providing the most capable monocular depth estimation (MDE) model with the following features:
- more fine-grained details than Depth Anything V1
- more robust than Depth Anything V... | [
{
"start": 2,
"end": 25,
"text": "Depth-Anything-V2-Small",
"label": "benchmark name",
"score": 0.6482630372047424
},
{
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"end": 60,
"text": "Depth Anything V2",
"label": "benchmark name",
"score": 0.6019216179847717
},
{
"start": 267,
"end": 284,
... |
mradermacher/Arisu-12B-i1-GGUF | mradermacher | 2025-12-07T20:15:47Z | 182 | 2 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:mergekit-community/Arisu-12B",
"base_model:quantized:mergekit-community/Arisu-12B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-14T05:46:56Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
weighted/imatrix quants of https://huggingface.co/mergekit-community/Arisu-1... | [
{
"start": 459,
"end": 476,
"text": "Arisu-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.6713590025901794
},
{
"start": 1025,
"end": 1042,
"text": "Arisu-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.6439604163169861
},
{
"start": 1189,
"end": 1206... |
KRAFTON/Raon-SpeechChat-9B | KRAFTON | 2026-04-13T10:20:51Z | 760 | 27 | transformers | [
"transformers",
"safetensors",
"raon_duplex",
"feature-extraction",
"speech",
"audio",
"multimodal",
"full-duplex",
"audio-to-audio",
"custom_code",
"license:cc-by-nc-4.0",
"region:us"
] | audio-to-audio | 2026-04-01T04:18:47Z | # Raon-SpeechChat-9B
<div align="center">
<img class="block dark:hidden" src="assets/Raon-Speechchat-Gradient-Black.png" alt="Raon-SpeechChat Logo" width="400">
<img class="hidden dark:block" src="assets/Raon-Speechchat-Gradient-White.png" alt="Raon-SpeechChat Logo" width="400">
</div>
<p align="center">
<a hre... | [] |
mradermacher/AgentFlow-Planner-3B-i1-GGUF | mradermacher | 2025-12-09T23:53:34Z | 162 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:AgentFlow/agentflow-planner-3b",
"base_model:quantized:AgentFlow/agentflow-planner-3b",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-01T13:02:49Z | ## 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_... | [] |
RefalMachine/RuadaptQwen2.5-14B-instruct-GGUF | RefalMachine | 2025-02-05T10:13:39Z | 295 | 7 | null | [
"gguf",
"text-generation",
"ru",
"dataset:IlyaGusev/saiga_scored",
"dataset:IlyaGusev/saiga_preferences",
"dataset:dichspace/darulm",
"arxiv:2412.21140",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-02-03T10:15:19Z | ## Описание модели
GGUF версия!! WORK IN PROGRESS!!! Текущая версия v1.
Инструктивная версия адаптированной на русский язык модели Qwen2.5-14B. В модели был заменен токенизатор, затем произведено дообучение (Continued pretraining) на русскоязычном корпусе, после чего была применена техника LEP (Learned Embedding Prop... | [] |
ruv/ruvltra | ruv | 2026-03-28T14:50:08Z | 575 | 21 | ruvllm | [
"ruvllm",
"gguf",
"agent-routing",
"claude-code",
"recursive-language-model",
"embeddings",
"rust",
"llm-inference",
"sona",
"hnsw",
"simd",
"text-generation",
"en",
"dataset:ruvnet/claude-flow-routing",
"dataset:turboquant",
"dataset:kv-cache-compression",
"dataset:flash-attention",... | text-generation | 2026-01-20T20:50:55Z | <div align="center">
# RuvLTRA
### The First Purpose-Built Model for Claude Code Agent Orchestration
**100% Routing Accuracy | Sub-Millisecond Inference | Self-Learning**
[](https://huggingface.co/ruv/ruvltra)
[![License](https://img.shields.io/badge/lice... | [] |
tiiuae/Falcon-H1R-7B-FP8 | tiiuae | 2026-02-11T12:53:23Z | 455 | 5 | transformers | [
"transformers",
"safetensors",
"falcon_h1",
"text-generation",
"falcon-h1r",
"conversational",
"en",
"arxiv:2601.02346",
"base_model:tiiuae/Falcon-H1R-7B",
"base_model:quantized:tiiuae/Falcon-H1R-7B",
"license:other",
"endpoints_compatible",
"modelopt",
"region:us"
] | text-generation | 2026-01-28T10:00:17Z | <img src="https://huggingface.co/datasets/tiiuae/reasoning-images/resolve/main/falcon-h1r-logo.png" alt="drawing" width="800"/>
# Falcon-H1R-7B-FP8
This repository presents post FP8 quantized **Falcon-H1R-7B-FP8** via NVIDIA Model Optimizer, enabling efficient inference while preserving the strong reasoning introduce... | [
{
"start": 131,
"end": 148,
"text": "Falcon-H1R-7B-FP8",
"label": "benchmark name",
"score": 0.8803485631942749
},
{
"start": 196,
"end": 213,
"text": "Falcon-H1R-7B-FP8",
"label": "benchmark name",
"score": 0.9087982773780823
},
{
"start": 479,
"end": 492,
... |
XiaojingEllen/bert-finetuned-claim-detection | XiaojingEllen | 2025-11-29T03:49:47Z | 122 | 2 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:google-bert/bert-base-uncased",
"base_model:finetune:google-bert/bert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-10-24T05:05:53Z | <!-- 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. -->
# bert-finetuned-claim-detection
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased... | [
{
"start": 419,
"end": 427,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.9384452104568481
},
{
"start": 438,
"end": 440,
"text": "F1",
"label": "evaluation metric",
"score": 0.8484624028205872
},
{
"start": 1597,
"end": 1605,
"text": "Accur... |
biodatlab/distill-whisper-th-medium | biodatlab | 2026-04-02T07:11:19Z | 312 | 3 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"license:mit",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2024-01-16T09:35:42Z | ## Distilled Medium Whisper ASR Model for Thai
### Model Description
This is a distilled Automatic Speech Recognition (ASR) model, based on the Whisper architecture. It has been specifically tailored for Thai language speech recognition. The model features 4 decoder layers (vs 24 in teacher model) and has been distill... | [] |
nvidia/canary-1b-flash | nvidia | 2025-12-03T22:16:51Z | 25,680 | 268 | nemo | [
"nemo",
"safetensors",
"fastconformer",
"automatic-speech-recognition",
"automatic-speech-translation",
"speech",
"audio",
"Transformer",
"FastConformer",
"Conformer",
"pytorch",
"NeMo",
"hf-asr-leaderboard",
"en",
"de",
"es",
"fr",
"dataset:librispeech_asr",
"dataset:fisher_corp... | automatic-speech-recognition | 2025-03-07T22:29:17Z | # Canary 1B Flash
<style>
img {
display: inline;
}
</style>
> **🎉 NEW: Canary 1B V2 is now available!**
> 🌍 **25 European Languages** | ⏱️ **Much Improved Timestamp Prediction** | 🔄 **Enhanced ASR & AST** | 🔗 **[Try it here: nvidia/canary-1b-v2](https://huggingface.co/nvidia/canary-1b-v2)**
## Description:
NV... | [] |
strangerzonehf/Flux-Super-Realism-LoRA | strangerzonehf | 2024-11-27T20:50:39Z | 3,028 | 271 | diffusers | [
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"Super-Realism",
"Flux.1-Dev",
"Dynamic-Realism",
"Realistic",
"Photorealism",
"Hi-Res",
"UltraRealism",
"Diffusion",
"Face",
"safetensors",
"Realism-Engine",
"RAW",
"4K",
"base_model:black-forest-labs/FLUX.1-dev",
... | text-to-image | 2024-11-12T18:40:16Z | 
<Gallery />
## Model description for super realism engine
Image Processing Parameters
| Parameter | Value | Parameter | Value |
|---------------------------|--------|---------------------------|--------|
| LR Scheduler ... | [] |
nicolajreck/csm-1b-danish-tts | nicolajreck | 2025-09-05T09:52:39Z | 155 | 2 | transformers | [
"transformers",
"safetensors",
"csm",
"text-to-audio",
"text-to-speech",
"tts",
"danish",
"lora",
"audio-generation",
"speech-synthesis",
"da",
"dataset:mozilla-foundation/common_voice_17_0",
"dataset:CoRal-project/coral-tts",
"base_model:sesame/csm-1b",
"base_model:adapter:sesame/csm-1b... | text-to-speech | 2025-09-05T01:30:44Z | # CSM-1B Danish Text-to-Speech (LoRA)
A natural-sounding Danish text-to-speech model based on CSM-1B, fine-tuned using LoRA (Low-Rank Adaptation) on a combination of Common Voice 17, CoRal-TTS, and private Danish speech data. Fine-tuned by [Nicolaj Reck](https://www.linkedin.com/in/nicolaj-reck-053aa38a/).
## Model D... | [] |
tlennon-ie/QwenEdit2509-FlatLogColor | tlennon-ie | 2025-11-21T00:29:56Z | 1,897 | 16 | diffusers | [
"diffusers",
"lora",
"template:diffusion-lora",
"image-to-image",
"qwen",
"en",
"base_model:Qwen/Qwen-Image-Edit-2509",
"base_model:adapter:Qwen/Qwen-Image-Edit-2509",
"license:apache-2.0",
"region:us"
] | image-to-image | 2025-11-20T12:21:55Z | <Gallery />
<h1 style="text-align: center;">My Links</h1>
<div style="display: flex; justify-content: center; flex-wrap: wrap; gap: 20px; margin-bottom: 30px;">
<!-- GitHub -->
<a href="https://github.com/tlennon-ie" target="_blank" style="display: flex; align-items: center; justify-content: center; width: 48px;... | [] |
mradermacher/Qwen3-VL-4B-Instruct-abliterated-v1-GGUF | mradermacher | 2025-11-13T23:40:09Z | 375 | 1 | transformers | [
"transformers",
"gguf",
"trl",
"text-generation-inference",
"abliterated",
"v1.0",
"agent",
"en",
"base_model:prithivMLmods/Qwen3-VL-4B-Instruct-abliterated-v1",
"base_model:quantized:prithivMLmods/Qwen3-VL-4B-Instruct-abliterated-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us... | null | 2025-11-13T21:41:36Z | ## 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... | [] |
litert-community/gemma-4-E4B-it-litert-lm | litert-community | 2026-04-24T17:55:28Z | 49,590 | 72 | litert-lm | [
"litert-lm",
"base_model:google/gemma-4-E4B-it",
"base_model:finetune:google/gemma-4-E4B-it",
"license:apache-2.0",
"region:us"
] | null | 2026-03-26T00:20:57Z | # litert-community/gemma-4-E4B-it-litert-lm
Main Model Card: [google/gemma-4-E4B-it](https://huggingface.co/google/gemma-4-E4B-it)
This model card provides the Gemma 4 E4B model in a way that is ready for deployment on Android, iOS, Desktop, IoT and Web.
Gemma is a family of lightweight, state-of-the-art open models... | [] |
OmniGen2/OmniGen2 | OmniGen2 | 2025-09-27T07:19:21Z | 60,496 | 428 | diffusers | [
"diffusers",
"safetensors",
"any-to-any",
"arxiv:2506.18871",
"arxiv:2404.07724",
"license:apache-2.0",
"diffusers:OmniGen2Pipeline",
"region:us"
] | any-to-any | 2025-06-06T09:57:07Z | <p align="center">
<a href="https://github.com/Ve<p align="center">
<img src="assets/brand.png" width="65%">
</p>
<p align="center">
<a href="https://vectorspacelab.github.io/OmniGen2"><img src="https://img.shields.io/badge/Project%20Page-OmniGen2-yellow" alt="project page"></a>
<a href="https://arxiv.org/abs/... | [
{
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"end": 190,
"text": "OmniGen2",
"label": "benchmark name",
"score": 0.7508563995361328
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"end": 478,
"text": "OmniGen2",
"label": "benchmark name",
"score": 0.6888092756271362
},
{
"start": 639,
"end": 647,
"text": "OmniGen... |
mradermacher/UDI-VIS-256k-Llama-3.1-8B-i1-GGUF | mradermacher | 2026-02-21T19:00:48Z | 131 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:HIDIVE/UDI-VIS-256k-Llama-3.1-8B",
"base_model:quantized:HIDIVE/UDI-VIS-256k-Llama-3.1-8B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-21T17:41:29Z | ## 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": 624,
"end": 657,
"text": "UDI-VIS-256k-Llama-3.1-8B-i1-GGUF",
"label": "benchmark name",
"score": 0.600206732749939
}
] |
mradermacher/Ministral-4b-instruct-GGUF | mradermacher | 2025-07-31T23:49:50Z | 142 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:ministral/Ministral-4b-instruct",
"base_model:quantized:ministral/Ministral-4b-instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-12-23T15:11:02Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/ministral/Ministral-4b-instruct
<!-- provided-files -->
***For a convenient overview and download list, visit our [mode... | [] |
ekwek/Soprano-1.1-80M | ekwek | 2026-01-14T17:47:31Z | 13,494 | 205 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"text-to-speech",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2026-01-14T17:00:41Z | <!-- Version 0.1.0 -->
# Soprano: Instant, Ultra‑Realistic Text‑to‑Speech
<div align="center">
<img width="640" height="320" alt="soprano-github" src="https://github.com/user-attachments/assets/4d612eac-23b8-44e6-8c59-d7ac14ebafd1" />
[](ht... | [] |
mlx-community/LFM2.5-Audio-1.5B-bf16 | mlx-community | 2026-01-15T23:08:18Z | 275 | 11 | mlx-audio | [
"mlx-audio",
"safetensors",
"lfm_audio",
"liquid",
"lfm2",
"audio",
"lfm2-audio",
"speech-to-speech",
"liquid-audio",
"mlx",
"speech",
"speech enhancement",
"audio separation",
"sts",
"audio-to-audio",
"en",
"base_model:LiquidAI/LFM2-1.2B",
"base_model:finetune:LiquidAI/LFM2-1.2B",... | audio-to-audio | 2026-01-08T14:35:18Z | # mlx-community/LFM2.5-Audio-1.5B-bf16
This model was converted to MLX format from [`LiquidAI/LFM2.5-Audio-1.5B`](https://huggingface.co/LiquidAI/LFM2.5-Audio-1.5B) using mlx-audio version **0.3.0**.
Refer to the [original model card](https://huggingface.co/LiquidAI/LFM2.5-Audio-1.5B) for more details on the model.
... | [] |
IDEA-Research/grounding-dino-tiny | IDEA-Research | 2024-05-12T09:03:39Z | 705,224 | 98 | transformers | [
"transformers",
"pytorch",
"safetensors",
"grounding-dino",
"zero-shot-object-detection",
"vision",
"arxiv:2303.05499",
"license:apache-2.0",
"region:us"
] | zero-shot-object-detection | 2023-09-25T00:59:34Z | # Grounding DINO model (tiny variant)
The Grounding DINO model was proposed in [Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection](https://arxiv.org/abs/2303.05499) by Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu,... | [] |
TheDrummer/Cydonia-24B-v4.1-GGUF | TheDrummer | 2025-08-25T01:21:41Z | 1,386 | 32 | null | [
"gguf",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-17T10:23:58Z | # Join our Discord! https://discord.gg/BeaverAI
## Nearly 7000 members strong 💪 A hub for users and makers alike!
---
## Drummer is open for work / employment (I'm a Software Engineer). Contact me through any of these channels: https://linktr.ee/thelocaldrummer
### Thank you to everyone who subscribed through [Patreon... | [] |
SuperDan/Affine-Q3.5ft-5DHWeG9naPinHGTZp43akB6LE3ztq7xA6uWg84synAHZqEFR | SuperDan | 2026-02-25T10:43:27Z | 237 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"text-generation-inference",
"reinforcement-learning-from-human-feedback",
"agentic",
"tool-use",
"conversational",
"en",
"base_model:Qwen/Qwen3.5-27B",
"base_model:finetune:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"endpoints_... | image-text-to-text | 2026-02-24T22:59:44Z | # Affine-Q3.5ft
> *"Just a little guy trying to do his best on some benchmarks."*
Fine-tuned variant of Qwen3.5-27B. We took an already-scary model and made it slightly more unhinged in the direction of agentic reasoning and tool use. You're welcome.
## What Is This
Qwen3.5-27B has a genuinely weird architecture — ... | [
{
"start": 1937,
"end": 1945,
"text": "AffineGo",
"label": "benchmark name",
"score": 0.6256063580513
}
] |
prithivMLmods/Qwen-Image-Edit-AIO-FP8 | prithivMLmods | 2026-02-21T13:37:11Z | 311 | 4 | diffusers | [
"diffusers",
"safetensors",
"qwen-image-edit",
"fp8",
"vllm",
"compressed-tensors",
"art",
"image-to-image",
"en",
"base_model:Qwen/Qwen-Image-Edit-2509",
"base_model:finetune:Qwen/Qwen-Image-Edit-2509",
"license:apache-2.0",
"region:us"
] | image-to-image | 2026-02-20T08:06:30Z | # **Qwen-Image-Edit-AIO-FP8**
> Qwen-Image-Edit-AIO-FP8 is an FP8-compressed edition of the Qwen-Image-Edit series developed by the Qwen team at Alibaba, designed to deliver high-precision multimodal diffusion-based image editing with significantly reduced memory consumption and accelerated inference performance. Buil... | [] |
mradermacher/ThinkMix-Gemma3-4B-i1-GGUF | mradermacher | 2026-04-18T22:04:45Z | 281 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"gemma3",
"en",
"dataset:theprint/ThinkMix-GPT-0126",
"base_model:theprint/ThinkMix-Gemma3-4B",
"base_model:quantized:theprint/ThinkMix-Gemma3-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"convers... | null | 2026-01-25T11:48:24Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
browser-use/bu-30b-a3b-preview | browser-use | 2026-04-04T04:35:54Z | 21,732 | 254 | transformers | [
"transformers",
"safetensors",
"qwen3_vl_moe",
"image-text-to-text",
"browser_use",
"conversational",
"en",
"base_model:Qwen/Qwen3-VL-30B-A3B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-30B-A3B-Instruct",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-12-11T02:02:14Z | # BU-30B-A3B-Preview
<picture>
<source media="(prefers-color-scheme: light)" srcset="https://github.com/user-attachments/assets/2ccdb752-22fb-41c7-8948-857fc1ad7e24"">
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/user-attachments/assets/774a46d5-27a0-490c-b7d0-e65fcbbfa358">
<img alt="... | [] |
mradermacher/Alisia-7B-it-GGUF | mradermacher | 2025-09-20T01:57:04Z | 202 | 3 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen",
"code",
"question-answering",
"fact-cheking",
"reasoning",
"en",
"base_model:Gems234/Alisia-7B-it",
"base_model:quantized:Gems234/Alisia-7B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversat... | question-answering | 2025-09-16T09:01:48Z | ## 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... | [] |
AITeamVN/Vietnamese_Reranker | AITeamVN | 2025-05-06T07:15:35Z | 1,168 | 2 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"xlm-roberta",
"Embedding",
"Reranker",
"sentence-similarity",
"vi",
"base_model:BAAI/bge-reranker-v2-m3",
"base_model:finetune:BAAI/bge-reranker-v2-m3",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | 2025-04-30T07:03:36Z | ## Model Card: Vietnamese_Reranker
Vietnamese_Reranker is an reranker model fine-tuned from the bge-reranker-v2-m3 model (https://huggingface.co/BAAI/bge-reranker-v2-m3) to enhance retrieval capabilities for Vietnamese.
* The model was trained on approximately 1,100,000 triplets of queries, positive documents, and ne... | [] |
mradermacher/FireRed-OCR-GGUF | mradermacher | 2026-03-01T09:46:35Z | 5,319 | 5 | transformers | [
"transformers",
"gguf",
"en",
"base_model:FireRedTeam/FireRed-OCR",
"base_model:quantized:FireRedTeam/FireRed-OCR",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-01T09:36:13Z | ## 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... | [] |
Kooten/DaringMaid-20B | Kooten | 2024-01-19T11:57:54Z | 772 | 14 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"license:cc-by-nc-4.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2023-12-13T22:43:00Z | # DaringMaid-20B
My goal was to make a Noromaid that's smarter and better at following instructions.
After trying a bunch of different recipes I think this one turned out pretty good
- I used [sequelbox/DynamicFactor](https://huggingface.co/sequelbox/DynamicFactor) as a base to as its supposed "improve overall knowl... | [] |
Anxo/erisk26-task1-patient-03-adapter | Anxo | 2026-02-23T16:01:08Z | 378 | 1 | peft | [
"peft",
"safetensors",
"erisk",
"erisk2026",
"mental-health",
"depression",
"simulated-patient",
"persona",
"lora",
"transformers",
"text-generation",
"conversational",
"en",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct",
"li... | text-generation | 2026-02-23T15:47:56Z | # eRisk 2026 Task 1 — Simulated Patient Adapter (PEFT/LoRA)
This repository contains a **PEFT/LoRA adapter** for a simulated patient persona intended for **eRisk 2026 Task 1**.
- **What’s included:** adapter weights + a reference conversation script.
- **What’s *not* included:** the base model weights (you must downl... | [] |
Fremtind/norsbert4-large | Fremtind | 2025-10-27T10:39:44Z | 127 | 2 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"sentence-similarity",
"feature-extraction",
"dense",
"custom_code",
"no",
"nn",
"nb",
"dataset:Fremtind/all-nli-norwegian",
"dataset:NbAiLab/ndla_parallel_paragraphs",
"base_model:ltg/norbert4-large",
"base_model:finetune:ltg/norbert4-large",
"licen... | sentence-similarity | 2025-09-23T21:03:12Z | # SentenceTransformer based on NorBERT4-large
NorSBERT4-Large is a [Sentence Transformer](https://www.SBERT.net) model finetuned from [ltg/norbert4-large](https://huggingface.co/ltg/norbert4-large).
The model maps sentences (and paragraphs) to a 960-dimensional dense vector space and can be used for semantic textual ... | [] |
QuantFactory/gemma-3-270m-it-GGUF | QuantFactory | 2025-08-30T10:26:39Z | 243 | 2 | transformers | [
"transformers",
"gguf",
"gemma3",
"gemma",
"google",
"text-generation",
"arxiv:2503.19786",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:2311.07911",
"arxiv:2311.12022",
"arxiv:2411.04368",
"arxiv:1904.... | text-generation | 2025-08-30T10:23:49Z | ---
base_model: google/gemma-3-270m
license: gemma
tags:
- gemma3
- gemma
- google
pipeline_tag: text-generation
library_name: transformers
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: >-
To access Gemma on Hugging Face, you’re required to review and agree to
Google’s usage license. To do ... | [] |
google/t5-efficient-base | google | 2023-01-24T16:45:48Z | 1,091 | 11 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"deep-narrow",
"en",
"dataset:c4",
"arxiv:2109.10686",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:05Z | # T5-Efficient-BASE (Deep-Narrow version)
T5-Efficient-BASE is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architecture](https://huggingface.co/docs/transformers/model_doc/t5).
It is a *pretrained-only* checkpoint and was rel... | [
{
"start": 1654,
"end": 1659,
"text": "FLOPs",
"label": "evaluation metric",
"score": 0.7257909774780273
},
{
"start": 1727,
"end": 1743,
"text": "number of params",
"label": "evaluation metric",
"score": 0.6462792754173279
},
{
"start": 1747,
"end": 1752,
... |
TheCluster/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-MLX-8bit | TheCluster | 2026-03-17T15:22:23Z | 446 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"uncensored",
"unrestricted",
"decensored",
"8bit",
"image-text-to-text",
"conversational",
"en",
"zh",
"ru",
"es",
"fr",
"it",
"ja",
"ko",
"af",
"de",
"ar",
"tr",
"is",
"pl",
"sw",
"sv",
"nl",
"he",
"id",
"uk",
"fa",
"pa",... | image-text-to-text | 2026-03-17T06:37:35Z | # Qwen3.5-9B-Uncensored-HauhauCS-Aggressive
Qwen3.5-9B uncensored by HauhauCS.
**Quality**: quantized (***8bit affine**, group size: 32, 9.34 bpw*)
## About
**0/465 refusals.** Fully uncensored with zero capability loss.
No changes to datasets or capabilities. Fully functional, 100% of what the original authors in... | [
{
"start": 45,
"end": 55,
"text": "Qwen3.5-9B",
"label": "benchmark name",
"score": 0.6131957173347473
}
] |
mradermacher/GLM-4.7-Flash-ultimate-irrefusable-heretic-i1-GGUF | mradermacher | 2026-03-17T12:51:15Z | 10,253 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"en",
"zh",
"base_model:llmfan46/GLM-4.7-Flash-ultimate-uncensored-heretic",
"base_model:quantized:llmfan46/GLM-4.7-Flash-ultimate-uncensored-heretic",
"license:mit",
"endpoints_compatible",
"region:us",
... | null | 2026-03-12T10:18:59Z | ## 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": 642,
"end": 692,
"text": "GLM-4.7-Flash-ultimate-irrefusable-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.6296554207801819
}
] |
mistralai/Pixtral-12B-2409 | mistralai | 2025-07-28T17:18:01Z | 21,952 | 682 | vllm | [
"vllm",
"mistral-common",
"en",
"fr",
"de",
"es",
"it",
"pt",
"ru",
"zh",
"ja",
"base_model:mistralai/Pixtral-12B-Base-2409",
"base_model:finetune:mistralai/Pixtral-12B-Base-2409",
"license:apache-2.0",
"region:us"
] | null | 2024-09-11T18:11:16Z | # Model Card for Pixtral-12B-2409
The Pixtral-12B-2409 is a Multimodal Model of 12B parameters plus a 400M parameter vision encoder.
For more details about this model please refer to our release [blog post](https://mistral.ai/news/pixtral-12b/).
Feel free to try it [here](https://chat.mistral.ai/chat)
## Key featur... | [
{
"start": 17,
"end": 33,
"text": "Pixtral-12B-2409",
"label": "benchmark name",
"score": 0.7027125358581543
},
{
"start": 39,
"end": 55,
"text": "Pixtral-12B-2409",
"label": "benchmark name",
"score": 0.7136117219924927
},
{
"start": 880,
"end": 891,
"tex... |
CompVis/ldm-celebahq-256 | CompVis | 2022-07-28T08:12:07Z | 1,642 | 51 | diffusers | [
"diffusers",
"pytorch",
"unconditional-image-generation",
"arxiv:2112.10752",
"license:apache-2.0",
"diffusers:LDMPipeline",
"region:us"
] | unconditional-image-generation | 2022-07-15T17:28:35Z | # Latent Diffusion Models (LDM)
**Paper**: [High-Resolution Image Synthesis with Latent Diffusion Models](https://arxiv.org/abs/2112.10752)
**Abstract**:
*By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis resu... | [] |
mradermacher/Huihui-gemma-3-270m-it-abliterated-i1-GGUF | mradermacher | 2025-12-23T05:03:33Z | 788 | 2 | transformers | [
"transformers",
"gguf",
"gemma3",
"gemma",
"google",
"generated_from_trainer",
"trl",
"sft",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-gemma-3-270m-it-abliterated",
"base_model:quantized:huihui-ai/Huihui-gemma-3-270m-it-abliterated",
"license:gemma",
"endpoints_comp... | null | 2025-08-25T21:37:18Z | ## 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_K... | [] |
unsloth/gpt-oss-120b-BF16 | unsloth | 2025-08-08T08:40:34Z | 116,494 | 8 | transformers | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"openai",
"unsloth",
"conversational",
"base_model:openai/gpt-oss-120b",
"base_model:finetune:openai/gpt-oss-120b",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-05T19:51:10Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/gpt-oss-6892433695ce0dee42f31681">our collection</a> for all versions of gpt-oss including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to run gpt-oss c... | [
{
"start": 212,
"end": 216,
"text": "GGUF",
"label": "benchmark name",
"score": 0.7908579111099243
}
] |
nunchaku-ai/nunchaku-sdxl | nunchaku-ai | 2025-11-16T02:24:18Z | 241 | 34 | diffusers | [
"diffusers",
"text-to-image",
"SVDQuant",
"SDXL",
"Diffusion",
"Quantization",
"stable-diffusion",
"en",
"dataset:mit-han-lab/svdquant-datasets",
"arxiv:2411.05007",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:quantized:stabilityai/stable-diffusion-xl-base-1.0",
"licen... | text-to-image | 2025-09-20T03:38:30Z | <p align="center" style="border-radius: 10px">
<img src="https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/nunchaku_v2.png" width="30%" alt="Nunchaku Logo"/>
</p>
<div align="center">
<a href=https://discord.gg/Wk6PnwX9Sm target="_blank"><img src=https://img.shields.io/badge/dynamic/js... | [] |
mradermacher/Mistral-Nemo-Instruct-2407-absolute-heresy-i1-GGUF | mradermacher | 2026-02-07T15:00:10Z | 403 | 2 | transformers | [
"transformers",
"gguf",
"mistral-common",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"fr",
"de",
"es",
"it",
"pt",
"ru",
"zh",
"ja",
"base_model:MuXodious/Mistral-Nemo-Instruct-2407-absolute-heresy",
"base_model:quantized:MuXodious/Mistral-Nemo-Instruct-2407-absolu... | null | 2026-02-05T09:30:02Z | ## 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_... | [] |
nvidia/llama-nemotron-embed-1b-v2 | nvidia | 2026-03-30T13:20:41Z | 60,853 | 49 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"safetensors",
"llama_bidirec",
"feature-extraction",
"text",
"text-embeddings",
"retrieval",
"semantic-search",
"transformers",
"custom_code",
"multilingual",
"arxiv:2407.15831",
"license:other",
"text-embeddings-inference",
"endpoints_compatible",
... | feature-extraction | 2025-10-16T22:44:33Z | ## **Model Overview**
### **Description**
The Llama Nemotron Embedding 1B model is optimized for **multilingual and cross-lingual** text question-answering retrieval with **support for long documents (up to 8192 tokens) and dynamic embedding size (Matryoshka Embeddings)**. This model was evaluated on 26 languages: En... | [] |
Polygl0t/Tucano2-qwen-1.5B-Base | Polygl0t | 2026-03-05T08:47:31Z | 416 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"text-generation-inference",
"pt",
"dataset:Polygl0t/gigaverbo-v2",
"dataset:Polygl0t/gigaverbo-v2-synth",
"arxiv:2603.03543",
"base_model:Qwen/Qwen3-1.7B-Base",
"base_model:finetune:Qwen/Qwen3-1.7B-Base",
"license:apache-2.0",
"mode... | text-generation | 2026-01-13T17:22:52Z | # Tucano2-qwen-1.5B-Base
<img src="./logo.png" alt="An illustration of a Tucano bird showing vibrant colors like yellow, orange, blue, green, and black." height="200">
## Model Summary
**[Tucano2-qwen-1.5B-Base](https://huggingface.co/Polygl0t/Tucano2-qwen-1.5B-Base)** is a decoder-only transformer continually pretr... | [
{
"start": 1111,
"end": 1118,
"text": "Tucano2",
"label": "benchmark name",
"score": 0.6393973231315613
}
] |
AstraMindAI/xtts2-gpt | AstraMindAI | 2024-12-04T15:09:44Z | 215,811 | 17 | null | [
"safetensors",
"xtts_gpt",
"custom_code",
"base_model:coqui/XTTS-v2",
"base_model:finetune:coqui/XTTS-v2",
"license:apache-2.0",
"region:us"
] | null | 2024-10-24T09:39:52Z | # Auralis 🌌
## Model Details 🛠️
**Model Name:** Auralis
**Model Architecture:** Based on [Coqui XTTS-v2](https://huggingface.co/coqui/XTTS-v2)
**License:**
- license: Apache 2.0
- base_model: XTTS-v2 Components [Coqui AI License](https://coqui.ai/cpml)
**Language Support:** English, Spanish, French, Germa... | [] |
unsloth/Mistral-Small-3.2-24B-Instruct-2506 | unsloth | 2025-08-26T02:42:36Z | 2,962 | 14 | vllm | [
"vllm",
"safetensors",
"mistral3",
"image-text-to-text",
"conversational",
"en",
"fr",
"de",
"es",
"pt",
"it",
"ja",
"ko",
"ru",
"zh",
"ar",
"fa",
"id",
"ms",
"ne",
"pl",
"ro",
"sr",
"sv",
"tr",
"uk",
"vi",
"hi",
"bn",
"base_model:mistralai/Mistral-Small-3.2... | image-text-to-text | 2025-06-20T20:31:37Z | # Mistral-Small-3.2-24B-Instruct-2506
Mistral-Small-3.2-24B-Instruct-2506 is a minor update of [Mistral-Small-3.1-24B-Instruct-2503](https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Base-2503).
Small-3.2 improves in the following categories:
- **Instruction following**: Small-3.2 is better at following precise ... | [
{
"start": 167,
"end": 198,
"text": "Mistral-Small-3.1-24B-Base-2503",
"label": "benchmark name",
"score": 0.625921368598938
},
{
"start": 279,
"end": 288,
"text": "Small-3.2",
"label": "benchmark name",
"score": 0.6274020671844482
},
{
"start": 1259,
"end": 1... |
Infomaniak-AI/vllm-translategemma-27b-it | Infomaniak-AI | 2026-01-27T18:53:31Z | 4,471 | 12 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"conversational",
"arxiv:2601.09012",
"arxiv:2503.19786",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-01-20T16:44:17Z | # vLLM-Compatible TranslateGemma Configuration
This is a modified version of [google/translategemma-27b-it](https://huggingface.co/google/translategemma-27b-it) optimized for deployment with [vLLM](https://github.com/vllm-project/vllm).
## Changes from Original Model
### Chat Template
The original TranslateGemma mo... | [] |
apple/aimv2-huge-patch14-336 | apple | 2025-07-08T16:22:19Z | 439 | 1 | transformers | [
"transformers",
"jax",
"safetensors",
"aimv2_vision_model",
"image-feature-extraction",
"vision",
"mlx",
"pytorch",
"custom_code",
"arxiv:2411.14402",
"license:apple-amlr",
"model-index",
"endpoints_compatible",
"region:us"
] | image-feature-extraction | 2024-10-29T15:36:36Z | # Introduction
[[`AIMv2 Paper`](https://arxiv.org/abs/2411.14402)] [[`BibTeX`](#citation)]
We introduce the AIMv2 family of vision models pre-trained with a multimodal autoregressive objective.
AIMv2 pre-training is simple and straightforward to train and scale effectively. Some AIMv2 highlights include:
1. Outperfor... | [
{
"start": 18,
"end": 23,
"text": "AIMv2",
"label": "benchmark name",
"score": 0.8665000796318054
},
{
"start": 109,
"end": 114,
"text": "AIMv2",
"label": "benchmark name",
"score": 0.8406471014022827
},
{
"start": 195,
"end": 200,
"text": "AIMv2",
"la... |
microsoft/Phi-3-mini-4k-instruct-onnx-web | microsoft | 2024-05-30T19:42:24Z | 107 | 25 | transformers.js | [
"transformers.js",
"onnx",
"phi3",
"text-generation",
"ONNX",
"ONNXRuntime",
"ONNXRuntimeWeb",
"transformers",
"nlp",
"conversational",
"custom_code",
"license:mit",
"region:us"
] | text-generation | 2024-05-17T02:52:57Z | # Phi-3 Mini-4K-Instruct ONNX model for in-browser inference
<!-- Provide a quick summary of what the model is/does. -->
Running Phi3-mini-4K entirely in the browser! Check out this [demo](https://guschmue.github.io/ort-webgpu/chat/index.html).
This repository hosts the optimized Web version of ONNX Phi-3-mini-4... | [] |
docling-project/SmolDocling-256M-preview-mlx-bf16 | docling-project | 2025-05-22T12:59:11Z | 1,981 | 65 | transformers | [
"transformers",
"safetensors",
"smolvlm",
"image-text-to-text",
"mlx",
"conversational",
"en",
"base_model:docling-project/SmolDocling-256M-preview",
"base_model:finetune:docling-project/SmolDocling-256M-preview",
"license:cdla-permissive-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-03-18T08:44:08Z | # SmolDocling-256M-preview-mlx-bf16
This model was converted to MLX format from [`ds4sd/SmolDocling-256M-preview`]() using mlx-vlm version **0.1.18**.
Refer to the [original model card](https://huggingface.co/ds4sd/SmolDocling-256M-preview) for more details on the model.
## Use with mlx
```bash
pip install -U mlx-vlm ... | [] |
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