modelId stringlengths 9 107 | author stringlengths 3 37 | last_modified timestamp[us, tz=UTC]date 2021-03-22 21:11:33 2026-05-04 17:37:22 | downloads int64 100 72.3M | likes int64 1 4.99k | library_name stringclasses 132
values | tags listlengths 2 2.16k | pipeline_tag stringclasses 52
values | createdAt timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2026-05-03 03:15:09 | card stringlengths 1.51k 391k | entities listlengths 0 18 |
|---|---|---|---|---|---|---|---|---|---|---|
mradermacher/Delorme_1-OCR-7B-Post1.0-GGUF | mradermacher | 2026-02-13T10:58:54Z | 158 | 1 | transformers | [
"transformers",
"gguf",
"v1.0",
"Document",
"VLM",
"OCR",
"VL",
"Openpdf",
"text-generation-inference",
"Extraction",
"Linking",
"Markdown",
"document",
"en",
"base_model:prithivMLmods/Delorme_1-OCR-7B-Post1.0",
"base_model:quantized:prithivMLmods/Delorme_1-OCR-7B-Post1.0",
"license:... | null | 2026-01-17T06:06:04Z | ## 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: -->
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static q... | [] |
microsoft/trocr-small-printed | microsoft | 2024-05-27T20:13:39Z | 37,081 | 47 | transformers | [
"transformers",
"pytorch",
"safetensors",
"vision-encoder-decoder",
"image-text-to-text",
"trocr",
"image-to-text",
"arxiv:2109.10282",
"endpoints_compatible",
"region:us"
] | image-to-text | 2022-03-02T23:29:05Z | # TrOCR (small-sized model, fine-tuned on SROIE)
TrOCR model fine-tuned on the [SROIE dataset](https://rrc.cvc.uab.es/?ch=13). It was introduced in the paper [TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models](https://arxiv.org/abs/2109.10282) by Li et al. and first released in [this repo... | [] |
mradermacher/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16-GGUF | mradermacher | 2026-03-19T10:15:08Z | 293 | 2 | transformers | [
"transformers",
"gguf",
"nvidia",
"pytorch",
"en",
"es",
"fr",
"de",
"ja",
"it",
"dataset:nvidia/Nemotron-Pretraining-Code-v1",
"dataset:nvidia/Nemotron-CC-v2",
"dataset:nvidia/Nemotron-Pretraining-SFT-v1",
"dataset:nvidia/Nemotron-CC-Math-v1",
"dataset:nvidia/Nemotron-Pretraining-Code-v... | null | 2026-01-09T01:05:57Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/Huihui-Qwen3-30B-A3B-abliterated-Fusion-7030-GGUF | mradermacher | 2025-09-12T14:47:17Z | 154 | 1 | transformers | [
"transformers",
"gguf",
"chat",
"Fusion",
"en",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-12T05:40:42Z | ## 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... | [] |
PaDT-MLLM/PaDT_Pro_3B | PaDT-MLLM | 2025-10-10T04:14:04Z | 127 | 2 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"text-generation",
"any-to-any",
"en",
"zh",
"arxiv:2510.01954",
"base_model:Qwen/Qwen2.5-VL-3B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-3B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
... | any-to-any | 2025-10-01T06:58:16Z | <div align='center'><h1>Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs</h1></div>
<font size=4><div align='center'>[[🔗 Released Code](https://github.com/Gorilla-Lab-SCUT/PaDT)]
[[🤗 Datasets](https://huggingface.co/collections/PaDT-MLLM/padt-dataset-68e400440ffb8c8f95e5ee20)] [[🤗 Checkp... | [] |
mradermacher/VieNeu-TTS-i1-GGUF | mradermacher | 2026-01-11T02:43:24Z | 236 | 2 | transformers | [
"transformers",
"gguf",
"vi",
"dataset:pnnbao-ump/VieNeu-TTS-1000h",
"dataset:pnnbao-ump/VieNeu-TTS-140h",
"base_model:pnnbao-ump/VieNeu-TTS",
"base_model:quantized:pnnbao-ump/VieNeu-TTS",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2025-11-09T19:24:41Z | ## 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": 613,
"end": 631,
"text": "VieNeu-TTS-i1-GGUF",
"label": "benchmark name",
"score": 0.703523576259613
},
{
"start": 1181,
"end": 1199,
"text": "VieNeu-TTS-i1-GGUF",
"label": "benchmark name",
"score": 0.6490262150764465
},
{
"start": 1347,
"end": 136... |
UnstableLlama/Qwen3.5-27B-exl3-8.00bpw | UnstableLlama | 2026-04-03T07:33:52Z | 681 | 13 | null | [
"safetensors",
"qwen3_5",
"exl3",
"base_model:Qwen/Qwen3.5-27B",
"base_model:quantized:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"8-bit",
"region:us"
] | null | 2026-03-03T13:45:07Z | <style>
@import url('https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;700&family=Inter:wght@400;700&display=swap');
.dashboard-container {
font-family: 'Inter', sans-serif;
width: min(1500px, calc(100vw - 32px));
max-width: 100%;
margin: 0 auto;
box-sizing: border-box;
backg... | [] |
onnx-community/Llama-3.2-1B-Instruct-ONNX | onnx-community | 2025-11-23T02:51:12Z | 1,449 | 30 | transformers.js | [
"transformers.js",
"onnx",
"llama",
"text-generation",
"conversational",
"base_model:meta-llama/Llama-3.2-1B-Instruct",
"base_model:quantized:meta-llama/Llama-3.2-1B-Instruct",
"license:llama3.2",
"region:us"
] | text-generation | 2024-09-25T10:21:48Z | https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct with ONNX weights to be compatible with Transformers.js.
## Usage (Transformers.js)
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingfac... | [] |
XiaomiMiMo/MiMo-VL-7B-SFT-2508 | XiaomiMiMo | 2025-08-21T08:10:15Z | 2,629 | 36 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"conversational",
"arxiv:2506.03569",
"base_model:XiaomiMiMo/MiMo-VL-7B-SFT-2508",
"base_model:finetune:XiaomiMiMo/MiMo-VL-7B-SFT-2508",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-08-07T09:36:36Z | <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... | [] |
mradermacher/Qwen2.5-14B-Humanizer-GGUF | mradermacher | 2026-03-16T11:59:02Z | 232 | 3 | transformers | [
"transformers",
"gguf",
"en",
"base_model:barmyman/Qwen2.5-14B-Humanizer",
"base_model:quantized:barmyman/Qwen2.5-14B-Humanizer",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-15T13:41:58Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 519,
"end": 545,
"text": "Qwen2.5-14B-Humanizer-GGUF",
"label": "benchmark name",
"score": 0.6674004197120667
}
] |
mradermacher/PE-Type-2-Alma-4B-i1-GGUF | mradermacher | 2026-04-18T16:32:09Z | 319 | 2 | transformers | [
"transformers",
"gguf",
"google",
"gemma",
"deepmind",
"large-language-model",
"ai-persona",
"enneagram",
"psychology",
"persona",
"research-model",
"roleplay",
"chat-llm",
"text-generation-inference",
"vanta-research",
"cognitive-alignment",
"project-enneagram",
"ai-persona-resear... | null | 2026-02-01T07:15:30Z | ## 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": 624,
"end": 649,
"text": "PE-Type-2-Alma-4B-i1-GGUF",
"label": "benchmark name",
"score": 0.6139550805091858
}
] |
LGAI-EXAONE/EXAONE-4.0-1.2B | LGAI-EXAONE | 2025-08-04T02:19:35Z | 30,257 | 177 | transformers | [
"transformers",
"safetensors",
"exaone4",
"text-generation",
"lg-ai",
"exaone",
"exaone-4.0",
"conversational",
"en",
"ko",
"es",
"arxiv:2507.11407",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-07-11T07:02:32Z | <p align="center">
<img src="assets/EXAONE_Symbol+BI_3d.png", width="300", style="margin: 40 auto;">
🎉 License Updated! We are pleased to announce our more flexible licensing terms 🤗
<br>✈️ Try on <a href="https://friendli.ai/suite/~/serverless-endpoints/LGAI-EXAONE/EXAONE-4.0-32B/overview">FriendliAI</a> (licensed u... | [] |
cyankiwi/NVIDIA-Nemotron-Nano-12B-v2-AWQ-4bit | cyankiwi | 2025-09-13T15:56:11Z | 545 | 4 | transformers | [
"transformers",
"safetensors",
"nvidia",
"pytorch",
"text-generation",
"conversational",
"en",
"es",
"fr",
"de",
"it",
"ja",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v1",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v2",
"dataset:nvidia/Nemotron-Pretraining-Dataset-sample",
"da... | text-generation | 2025-08-31T12:03:49Z | # NVIDIA-Nemotron-Nano-12B-v2
**Model Developer:** NVIDIA Corporation
**Model Dates:**
June 2025 \- August 2025
**Data Freshness:**
September 2024
The pretraining data has a cutoff date of September 2024.
## Model Overview
NVIDIA-Nemotron-Nano-12B-v2 is a large language model (LLM) trained from scratch by NVIDI... | [] |
Qwen/Qwen3-Coder-Next-FP8 | Qwen | 2026-02-03T14:13:28Z | 835,461 | 118 | transformers | [
"transformers",
"safetensors",
"qwen3_next",
"text-generation",
"conversational",
"license:apache-2.0",
"endpoints_compatible",
"fp8",
"deploy:azure",
"region:us"
] | text-generation | 2026-02-01T12:22:41Z | # Qwen3-Coder-Next-FP8
## Highlights
Today, we're announcing **Qwen3-Coder-Next-FP8**, an open-weight language model designed specifically for coding agents and local development. It features the following key enhancements:
- **Super Efficient with Significant Performance**: With only 3B activated parameters (80B ... | [
{
"start": 2,
"end": 22,
"text": "Qwen3-Coder-Next-FP8",
"label": "benchmark name",
"score": 0.8908389210700989
},
{
"start": 65,
"end": 85,
"text": "Qwen3-Coder-Next-FP8",
"label": "benchmark name",
"score": 0.9465416669845581
},
{
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"end": 909,
... |
cturan/MiniMax-M2-GGUF | cturan | 2025-10-29T15:00:39Z | 464 | 15 | transformers | [
"transformers",
"gguf",
"text-generation",
"base_model:MiniMaxAI/MiniMax-M2",
"base_model:quantized:MiniMaxAI/MiniMax-M2",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-28T17:22:15Z | # Building and Running the Experimental `minimax` Branch of `llama.cpp`
**Note:**
This setup is experimental. The `minimax` branch will not work with the standard `llama.cpp`. Use it only for testing GGUF models with experimental features.
---
## System Requirements (you can use any supported this is for ubuntu bu... | [] |
mradermacher/031-swallow-8b-0.5-base-v2new-dpo405b-i1-GGUF | mradermacher | 2025-12-25T19:15:38Z | 345 | 1 | transformers | [
"transformers",
"gguf",
"ja",
"en",
"base_model:shisa-ai/031-swallow-8b-0.5-base-v2new-dpo405b",
"base_model:quantized:shisa-ai/031-swallow-8b-0.5-base-v2new-dpo405b",
"license:llama3.3",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-31T22:56:02Z | ## 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_K... | [] |
DavidAU/Qwen2.5-MOE-2X1.5B-DeepSeek-Uncensored-Censored-4B-gguf | DavidAU | 2025-07-28T00:06:58Z | 915 | 9 | null | [
"gguf",
"MOE",
"Qwen 2.5 MOE",
"Mixture of Experts",
"Uncensored",
"2X1.5B",
"deepseek",
"reasoning",
"thinking",
"creative",
"128k context",
"general usage",
"problem solving",
"brainstorming",
"solve riddles",
"story generation",
"plot generation",
"storytelling",
"fiction stor... | text-generation | 2025-03-04T23:18:47Z | <H2>Qwen2.5-MOE-2X1.5B-DeepSeek-Uncensored-Censored-4B-gguf</H2>
<img src="qwen-tiny.jpg" style="float:right; width:300px; height:300px; padding:5px;">
This is a Qwen2.5 MOE (Mixture of Experts) model comprised of TWO Qwen 2.5 Deepseek (Censored/Normal AND Uncensored) 1.5B models
creating a 4B model with the "Uncens... | [] |
mradermacher/NVIDIA-Nemotron-3-Super-120B-A12B-BF16-heretic-i1-GGUF | mradermacher | 2026-03-19T21:00:11Z | 20,482 | 2 | transformers | [
"transformers",
"gguf",
"nvidia",
"pytorch",
"nemotron-3",
"latent-moe",
"mtp",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"fr",
"es",
"it",
"de",
"ja",
"zh",
"dataset:nvidia/nemotron-post-training-v3",
"dataset:nvidia/nemotron-pre-training-datasets",
"base_m... | null | 2026-03-18T10:05:41Z | ## 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_... | [
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"end": 703,
"text": "NVIDIA-Nemotron-3-Super-120B-A12B-BF16-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.6362761855125427
}
] |
NeveAI/Neve-Echo-S-4B-GGUF | NeveAI | 2026-05-04T15:39:41Z | 116 | 1 | transformers | [
"transformers",
"gguf",
"NeveAI",
"Neve",
"EchoS",
"image-text-to-text",
"base_model:google/gemma-4-E4B-it",
"base_model:quantized:google/gemma-4-E4B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | image-text-to-text | 2026-04-30T18:41:59Z | <div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/68a3ba234a7dfca33d72eee2/BG71IO9zlNcw4eTRYKZzO.png" width="50%">
</div>
<h1 align="center">Neve-Echo-S-4B-GGUF</h1>
<div align="center">
<a href="https://github.com/NeveIA">
<img src="https://cdn-uploads.huggingface.co/produc... | [
{
"start": 451,
"end": 462,
"text": "Neve Echo S",
"label": "benchmark name",
"score": 0.7098724246025085
},
{
"start": 1469,
"end": 1480,
"text": "Neve Echo 4",
"label": "benchmark name",
"score": 0.6924132108688354
},
{
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"text"... |
lllyasviel/control_v11f1p_sd15_depth | lllyasviel | 2023-05-04T18:49:15Z | 16,788 | 64 | diffusers | [
"diffusers",
"safetensors",
"art",
"controlnet",
"stable-diffusion",
"controlnet-v1-1",
"image-to-image",
"arxiv:2302.05543",
"base_model:runwayml/stable-diffusion-v1-5",
"base_model:adapter:runwayml/stable-diffusion-v1-5",
"license:openrail",
"region:us"
] | image-to-image | 2023-04-16T14:13:02Z | # Controlnet - v1.1 - *depth Version*
**Controlnet v1.1** is the successor model of [Controlnet v1.0](https://huggingface.co/lllyasviel/ControlNet)
and was released in [lllyasviel/ControlNet-v1-1](https://huggingface.co/lllyasviel/ControlNet-v1-1) by [Lvmin Zhang](https://huggingface.co/lllyasviel).
This checkpoint i... | [] |
KoboldAI/OPT-13B-Erebus | KoboldAI | 2022-09-09T13:54:35Z | 2,078 | 261 | transformers | [
"transformers",
"pytorch",
"opt",
"text-generation",
"en",
"arxiv:2205.01068",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | 2022-09-09T09:11:05Z | # OPT 13B - Erebus
## Model description
This is the second generation of the original Shinen made by Mr. Seeker. The full dataset consists of 6 different sources, all surrounding the "Adult" theme. The name "Erebus" comes from the greek mythology, also named "darkness". This is in line with Shin'en, or "deep abyss". Fo... | [] |
aadel4/omniASR-CTC-300M-v2 | aadel4 | 2026-03-12T22:47:35Z | 426 | 2 | transformers | [
"transformers",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"speech",
"audio",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2026-03-10T20:36:41Z | # omniASR-CTC-300M-v2
Wav2Vec2 CTC ASR model (v2) converted from the [OmniLingual](https://github.com/facebookresearch/omnilingual-asr) fairseq2 checkpoint `omniASR_CTC_300M_v2`.
This model outputs CTC logits over a SentencePiece vocabulary and can transcribe speech in multiple languages.
# Code Base
The code base ... | [] |
ByteDance/Ouro-2.6B-Thinking | ByteDance | 2026-02-26T18:39:17Z | 12,464 | 100 | transformers | [
"transformers",
"safetensors",
"ouro",
"text-generation",
"looped-language-model",
"reasoning",
"recurrent-depth",
"thinking",
"chain-of-thought",
"conversational",
"custom_code",
"arxiv:2510.25741",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-10-28T22:27:40Z | # Ouro-2.6B-Thinking
## Model Description
**⚠️ IMPORTANT: This model is intended for research purposes only. It is provided as-is without warranties for production use. **
**Ouro-2.6B-Thinking** is a reasoning-specialized variant of the Ouro-2.6B base model, enhanced through supervis... | [
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... |
google/siglip2-base-patch16-naflex | google | 2025-02-21T04:04:09Z | 588,228 | 25 | transformers | [
"transformers",
"safetensors",
"siglip2",
"zero-shot-image-classification",
"vision",
"arxiv:2502.14786",
"arxiv:2303.15343",
"arxiv:2209.06794",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2025-02-18T11:39:16Z | # SigLIP 2 Base
[SigLIP 2](https://huggingface.co/papers/2502.14786) extends the pretraining objective of
[SigLIP](https://huggingface.co/papers/2303.15343) with prior, independently developed techniques
into a unified recipe, for improved semantic understanding, localization, and dense features.
## Intended uses
Yo... | [] |
strangervisionhf/excess_layer_pruned-nanonets-1.5b | strangervisionhf | 2025-10-29T10:32:31Z | 132 | 1 | transformers | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"text-generation-inference",
"conversational",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-10-20T20:15:39Z | > [!important]
This is the OCR weight component of the [Nanonets-OCR2-1.5B-exp](https://huggingface.co/nanonets/Nanonets-OCR2-1.5B-exp) model. These weights cannot be used for other use cases. If you wish to do so, please visit the original model page!
Previously, inference with the model [[https://huggingface.co/nano... | [] |
HUMADEX/spanish_medical_ner | HUMADEX | 2025-06-04T13:14:42Z | 282 | 1 | null | [
"pytorch",
"safetensors",
"bert",
"NER",
"medical",
"symptom",
"extraction",
"spanish",
"token-classification",
"es",
"dataset:HUMADEX/spanish_ner_dataset",
"base_model:google-bert/bert-base-cased",
"base_model:finetune:google-bert/bert-base-cased",
"license:apache-2.0",
"region:us"
] | token-classification | 2024-10-10T12:56:47Z | # Spanish Medical NER
## Acknowledgement
This model had been created as part of joint research of HUMADEX research group (https://www.linkedin.com/company/101563689/) and has received funding by the European Union Horizon Europe Research and Innovation Program project SMILE (grant number 101080923) and Marie Skłodows... | [] |
mradermacher/mistralai_Ministral-3-8B-Instruct-2512-abliterated-GGUF | mradermacher | 2026-03-01T13:14:32Z | 1,733 | 3 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Nitral-Archive/mistralai_Ministral-3-8B-Instruct-2512-bf16-abliterated",
"base_model:quantized:Nitral-Archive/mistralai_Ministral-3-8B-Instruct-2512-bf16-abliterated",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-27T12:22:24Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: 1 -->
static ... | [] |
mradermacher/RENT-Qwen-7B-i1-GGUF | mradermacher | 2025-12-05T00:32:46Z | 160 | 1 | transformers | [
"transformers",
"gguf",
"RL",
"Unsupervised",
"Reasoning",
"en",
"dataset:Maxwell-Jia/AIME_2024",
"base_model:aippolit/RENT-Qwen-7B",
"base_model:quantized:aippolit/RENT-Qwen-7B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-31T18:25:54Z | ## 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_... | [
{
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"end": 633,
"text": "RENT-Qwen-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.678890585899353
},
{
"start": 1185,
"end": 1205,
"text": "RENT-Qwen-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.609445333480835
},
{
"start": 1355,
"end": ... |
HauhauCS/Qwen3VL-8B-Uncensored-HauhauCS-Balanced | HauhauCS | 2026-04-05T19:01:12Z | 3,183 | 8 | null | [
"gguf",
"uncensored",
"qwen3",
"vision",
"multimodal",
"en",
"zh",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-31T16:55:44Z | # Qwen3VL-8B-Uncensored-HauhauCS-Balanced
> **[Join the Discord](https://discord.gg/SZ5vacTXYf)** for updates, roadmaps, projects, or just to chat.
Qwen3VL-8B uncensored by HauhauCS.
## About
No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refu... | [] |
andrevp/MiniCPM-o-4_5-MLX-4bit | andrevp | 2026-02-14T12:12:27Z | 451 | 4 | mlx | [
"mlx",
"safetensors",
"minicpmo",
"vision",
"multimodal",
"vlm",
"minicpm",
"apple-silicon",
"quantized",
"audio",
"tts",
"speech",
"whisper",
"streaming",
"real-time",
"screen-capture",
"image-text-to-text",
"conversational",
"custom_code",
"en",
"zh",
"id",
"fr",
"de"... | image-text-to-text | 2026-02-13T14:32:26Z | # MiniCPM-o 4.5 — MLX 4-bit Quantized (Full Multimodal)
4-bit quantized [MLX](https://github.com/ml-explore/mlx) conversion of [openbmb/MiniCPM-o-4_5](https://huggingface.co/openbmb/MiniCPM-o-4_5) for fast inference on Apple Silicon (M1/M2/M3/M4).
Includes **all modalities**: vision, audio input (Whisper), TTS output... | [] |
wangkanai/wan22-fp16-i2v-gguf | wangkanai | 2025-10-27T07:44:06Z | 534 | 1 | diffusers | [
"diffusers",
"gguf",
"wan",
"image-to-video",
"video-generation",
"arxiv:2503.20314",
"license:other",
"region:us"
] | image-to-video | 2025-10-14T09:33:12Z | <!-- README Version: v1.3 -->
# Wan 2.2 Image-to-Video (I2V-A14B) - GGUF FP16 Quantized Models
This repository contains GGUF quantized versions of the **Wan 2.2 Image-to-Video A14B** model, optimized for efficient inference with reduced VRAM requirements while maintaining high-quality video generation capabilities.
... | [] |
mradermacher/Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC-i1-GGUF | mradermacher | 2026-01-10T04:08:36Z | 2,626 | 4 | transformers | [
"transformers",
"gguf",
"uncensored",
"heretic",
"abliterated",
"finetune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres"... | null | 2026-01-10T02:49:02Z | ## 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_... | [
{
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"end": 533,
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"label": "benchmark name",
"score": 0.6377713680267334
},
{
"start": 670,
"end": 748,
"text": "Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC-i1-G... |
limloop/MN-12B-Hydra-RP-RU | limloop | 2026-03-02T17:46:01Z | 144 | 4 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"russian",
"uncensored",
"roleplay",
"mixtral-nemo",
"conversational",
"en",
"ru",
"base_model:Aleteian/Pathfinder-RP-12B-RU",
"base_model:merge:Aleteian/Pathfinder-RP-12B-RU",
"base_model:DavidAU/Mistral... | text-generation | 2026-03-02T17:05:46Z | # MN-12B-Hydra-RP-RU
<details>
<summary>🇷🇺 Нажмите, чтобы развернуть описание на русском</summary>
## 🌟 О модели
**MN-12B-Hydra-RP-RU** — экспериментальный merge на базе Mistral Nemo 12B, сочетающий:
* 🎭 Сильные ролевые способности
* 📚 Глубокий литературный русский язык
* 🔓 Снятую цензуру
Модель собрана мето... | [] |
TheDrummer/Anubis-70B-v1.1 | TheDrummer | 2025-06-29T15:11:32Z | 325 | 33 | null | [
"safetensors",
"llama",
"base_model:meta-llama/Llama-3.3-70B-Instruct",
"base_model:finetune:meta-llama/Llama-3.3-70B-Instruct",
"region:us"
] | null | 2025-06-17T04:29:59Z | # Join our Discord! https://discord.gg/BeaverAI
## More than 6000 members strong 💪 A hub for users and makers alike!
---
## Live in [OpenRouter](https://openrouter.ai/thedrummer/anubis-70b-v1.1)! (Powered by [Parasail.io](https://www.parasail.io/))
---
[Drummer](https://huggingface.co/TheDrummer) proudly presents..... | [] |
tiny-random/gpt-oss-bf16 | tiny-random | 2025-08-06T06:53:37Z | 551 | 1 | transformers | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"conversational",
"base_model:openai/gpt-oss-120b",
"base_model:finetune:openai/gpt-oss-120b",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-06T05:16:47Z | This tiny model is for debugging. It is randomly initialized with the config adapted from [openai/gpt-oss-120b](https://huggingface.co/openai/gpt-oss-120b).
Note: This model is in BF16; quantized MXFP4 FFN is not used.
### Example usage:
- vLLM
```bash
vllm serve tiny-random/gpt-oss-bf16
```
- Transformers
```pyt... | [] |
tech4humans/conditional-detr-50-signature-detector | tech4humans | 2025-06-18T04:17:28Z | 36,639 | 3 | transformers | [
"transformers",
"safetensors",
"conditional_detr",
"object-detection",
"signature-detection",
"detr",
"conditional-detr",
"pytorch",
"dataset:tech4humans/signature-detection",
"base_model:microsoft/conditional-detr-resnet-50",
"base_model:finetune:microsoft/conditional-detr-resnet-50",
"licens... | object-detection | 2025-06-18T03:39:12Z | # **Conditional-DETR ResNet-50 - Handwritten Signature Detection**
This repository presents a Conditional-DETR model with ResNet-50 backbone, fine-tuned to detect handwritten signatures in document images. This model achieved the **highest mAP@0.5 (93.65%)** among all tested architectures in our comprehensive evaluati... | [
{
"start": 241,
"end": 244,
"text": "mAP",
"label": "evaluation metric",
"score": 0.7444784045219421
}
] |
mradermacher/Luna-Fusion-RP-i1-GGUF | mradermacher | 2025-12-04T20:56:41Z | 123 | 1 | transformers | [
"transformers",
"gguf",
"roleplay",
"chat",
"rp",
"character",
"waifu",
"natural converation",
"creative writing",
"storytelling",
"sfw",
"evoluation merge",
"en",
"zh",
"vi",
"base_model:beyoru/Luna-Fusion-RP",
"base_model:quantized:beyoru/Luna-Fusion-RP",
"license:mit",
"endpoi... | null | 2025-10-24T13:57:39Z | ## 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_... | [
{
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"end": 635,
"text": "Luna-Fusion-RP-i1-GGUF",
"label": "benchmark name",
"score": 0.7313507795333862
},
{
"start": 1189,
"end": 1211,
"text": "Luna-Fusion-RP-i1-GGUF",
"label": "benchmark name",
"score": 0.7027764320373535
},
{
"start": 1225,
"... |
baa-ai/Qwen3-8B-SWAN-6bit-MLX | baa-ai | 2026-04-15T13:18:15Z | 107 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3",
"quantized",
"mixed-precision",
"base_model:Qwen/Qwen3-8B",
"base_model:quantized:Qwen/Qwen3-8B",
"license:other",
"4-bit",
"region:us"
] | null | 2026-03-09T06:16:29Z | # Qwen3-8B-SWAN-6bit-MLX
Mixed-precision quantized version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) optimised by [baa.ai](https://baa.ai).
## Metrics
| Metric | Value |
|--------|-------|
| **Size** | **6 GB** |
| Average bits | 6 |
| Framework | MLX |
| WikiText-2 PPL | 10.097 |
| Unifor... | [
{
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"text": "Qwen3-8B-SWAN-6bit-MLX",
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mradermacher/Nemotron-Research-GooseReason-4B-Instruct-heretic-v2-i1-GGUF | mradermacher | 2026-03-18T10:23:51Z | 1,662 | 2 | transformers | [
"transformers",
"gguf",
"reasoning",
"rlvr",
"math",
"code",
"stem",
"nvidia",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:daydreamwarrior/Nemotron-Research-GooseReason-4B-Instruct-heretic-v2",
"base_model:quantized:daydreamwarrior/Nemotron-Research-GooseReaso... | null | 2026-03-18T08:32:37Z | ## 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_... | [
{
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"end": 720,
"text": "Nemotron-Research-GooseReason-4B-Instruct-heretic-v2-i1-GGUF",
"label": "benchmark name",
"score": 0.6178800463676453
}
] |
yandex/YandexGPT-5-Lite-8B-instruct | yandex | 2025-03-31T11:23:59Z | 31,282 | 107 | null | [
"safetensors",
"llama",
"ru",
"en",
"base_model:yandex/YandexGPT-5-Lite-8B-pretrain",
"base_model:finetune:yandex/YandexGPT-5-Lite-8B-pretrain",
"license:other",
"region:us"
] | null | 2025-03-28T08:12:30Z | # YandexGPT-5-Lite-Instruct
Instruct-версия большой языковой модели YandexGPT 5 Lite на 8B параметров с длиной контекста 32k токенов. Также в отдельном [репозитории](https://huggingface.co/yandex/YandexGPT-5-Lite-8B-instruct-GGUF) опубликована квантизованная версия модели в формате GGUF.
Обучена на базе [YandexGPT 5 ... | [
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"text": "MOD... |
lokeshch19/ModernPubMedBERT | lokeshch19 | 2025-08-03T11:02:33Z | 5,304 | 24 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"modernbert",
"sentence-similarity",
"medical",
"clinical",
"biomedical",
"pubmed",
"healthcare",
"medical-ai",
"clinical-nlp",
"bioinformatics",
"medical-literature",
"clinical-text",
"base_model:thomas-sounack/BioClinical-ModernBERT-base",
"bas... | sentence-similarity | 2025-04-16T04:23:58Z | # Clinical ModernBERT Embedding Model
A specialized medical embedding model fine-tuned from Clinical ModernBERT using InfoNCE contrastive learning on PubMed title-abstract pairs.
## Model Details
- **Base Model**: thomas-sounack/BioClinical-ModernBERT-base
- **Training Method**: InfoNCE contrastive learning
- **Trai... | [] |
keremberke/yolov5n-football | keremberke | 2022-12-30T20:49:33Z | 130 | 8 | yolov5 | [
"yolov5",
"tensorboard",
"yolo",
"vision",
"object-detection",
"pytorch",
"dataset:keremberke/football-object-detection",
"model-index",
"region:us"
] | object-detection | 2022-12-28T20:39:20Z | ---
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/yolov5n-football
results:
- task:
type: object-detection
dataset:
type: keremberke/football... | [] |
Tongyi-MAI/Z-Image-Turbo | Tongyi-MAI | 2026-01-30T16:58:07Z | 756,137 | 4,317 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"en",
"arxiv:2511.22699",
"arxiv:2511.22677",
"arxiv:2511.13649",
"license:apache-2.0",
"diffusers:ZImagePipeline",
"deploy:azure",
"region:us"
] | text-to-image | 2025-11-25T15:09:48Z | <h1 align="center">⚡️- Image<br><sub><sup>An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer</sup></sub></h1>
<div align="center">
[](https://tongyi-mai.github.io/Z-Image-blog/) 
[![GitHub]... | [] |
mradermacher/Think2SQL-4B-i1-GGUF | mradermacher | 2026-02-11T06:10:47Z | 174 | 1 | transformers | [
"transformers",
"gguf",
"generated_from_trainer",
"open-r1",
"Text2SQL",
"Reasoning",
"en",
"base_model:anonymous-2321/Think2SQL-4B",
"base_model:quantized:anonymous-2321/Think2SQL-4B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-11T04:28:05Z | ## 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_... | [
{
"start": 470,
"end": 482,
"text": "Think2SQL-4B",
"label": "benchmark name",
"score": 0.6131834387779236
},
{
"start": 619,
"end": 639,
"text": "Think2SQL-4B-i1-GGUF",
"label": "benchmark name",
"score": 0.7175196409225464
},
{
"start": 1191,
"end": 1211,
... |
cagrigungor/bert-turkish-uncased-270m | cagrigungor | 2026-03-17T13:31:27Z | 154 | 1 | transformers | [
"transformers",
"safetensors",
"bert",
"fill-mask",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | fill-mask | 2026-03-17T08:06:17Z | <!-- 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-turkish-uncased-270m
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves th... | [
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"end": 1055,
"text": ... |
Trendyol/Trendyol-Cybersecurity-LLM-v2-70B-Q4_K_M | Trendyol | 2025-10-20T11:22:27Z | 805 | 41 | null | [
"gguf",
"dataset:Trendyol/Trendyol-Cybersecurity-Instruction-Tuning-Dataset",
"dataset:AlicanKiraz0/Cybersecurity-Dataset-Fenrir-v2.0",
"dataset:AlicanKiraz0/Cybersecurity-Dataset-Heimdall-v1.1",
"base_model:meta-llama/Llama-3.3-70B-Instruct",
"base_model:quantized:meta-llama/Llama-3.3-70B-Instruct",
"l... | null | 2025-06-24T22:59:14Z | <div align="left">
-red)
-inform... | [] |
lmstudio-community/InternVL3_5-8B-GGUF | lmstudio-community | 2025-08-26T03:47:46Z | 342 | 1 | null | [
"gguf",
"image-text-to-text",
"base_model:OpenGVLab/InternVL3_5-8B",
"base_model:quantized:OpenGVLab/InternVL3_5-8B",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-08-26T03:23:48Z | ## 💫 Community Model> InternVL3_5 8B by Opengvlab
*👾 [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:** [OpenGVLab](https://huggingface.co/OpenGVLab)<br>
*... | [] |
allenai/olmOCR-7B-0225-preview | allenai | 2025-08-19T15:31:31Z | 58,200 | 700 | transformers | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"conversational",
"en",
"dataset:allenai/olmOCR-mix-0225",
"base_model:Qwen/Qwen2-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2-VL-7B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"reg... | image-text-to-text | 2025-01-15T21:14:47Z | <img alt="olmOCR Logo" src="https://huggingface.co/datasets/allenai/blog-images/resolve/main/olmocr/olmocr.png" width="242px" style="margin-left:'auto' margin-right:'auto' display:'block'">
# olmOCR-7B-0225-preview
This is a preview release of the olmOCR model that's fine tuned from Qwen2-VL-7B-Instruct using the
[o... | [] |
neuralmind/bert-large-portuguese-cased | neuralmind | 2021-05-20T01:31:09Z | 1,499,251 | 71 | transformers | [
"transformers",
"pytorch",
"jax",
"bert",
"fill-mask",
"pt",
"dataset:brWaC",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | # BERTimbau Large (aka "bert-large-portuguese-cased")
## Introduction
BERTimbau Large is a pretrained BERT model for Brazilian Portuguese that achieves state-of-the-art performances on three downstream NLP tasks: Named Entity Recognition, Sentence Textual Sim... | [] |
RefalMachine/RuadaptQwen3-8B-Hybrid | RefalMachine | 2025-08-26T11:10:37Z | 429 | 7 | null | [
"safetensors",
"qwen3",
"ru",
"en",
"dataset:dichspace/darulm",
"dataset:HuggingFaceFW/fineweb-2",
"dataset:RefalMachine/ruadapt_hybrid_instruct",
"dataset:t-tech/T-Wix",
"base_model:Qwen/Qwen3-8B",
"base_model:finetune:Qwen/Qwen3-8B",
"license:apache-2.0",
"region:us"
] | null | 2025-08-26T10:40:55Z | <p align="left">
<a href="https://jle.hse.ru/article/view/22224"><b>Paper Link</b>👁️</a>
<br>
<a href="https://huggingface.co/RefalMachine/RuadaptQwen3-8B-Hybrid-GGUF"><b>GGUF</b>🚀</a>
</p>
<hr>
# RU
## Описание модели
**Ruadapt** версия модели **Qwen/Qwen3-8B** c **гибридным ризонингом**. В модели был замене... | [] |
mradermacher/Firefly-V1.5Q-Beta-GGUF | mradermacher | 2026-03-10T06:22:25Z | 788 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"en",
"base_model:Guilherme34/Firefly-V1.5Q-Beta",
"base_model:quantized:Guilherme34/Firefly-V1.5Q-Beta",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-10T06:00:13Z | ## 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... | [
{
"start": 364,
"end": 382,
"text": "Firefly-V1.5Q-Beta",
"label": "benchmark name",
"score": 0.6729874610900879
},
{
"start": 519,
"end": 542,
"text": "Firefly-V1.5Q-Beta-GGUF",
"label": "benchmark name",
"score": 0.7319705486297607
},
{
"start": 626,
"end": ... |
bartowski/huihui-ai_Mistral-Small-24B-Instruct-2501-abliterated-GGUF | bartowski | 2025-02-05T19:59:30Z | 3,211 | 12 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"text-generation",
"en",
"fr",
"de",
"es",
"it",
"pt",
"zh",
"ja",
"ru",
"ko",
"base_model:huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated",
"base_model:quantized:huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated",
"lic... | text-generation | 2025-02-05T15:55:13Z | ## Llamacpp imatrix Quantizations of Mistral-Small-24B-Instruct-2501-abliterated by huihui-ai
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4585">b4585</a> for quantization.
Original model: https://huggingface.co/huihui-ai/M... | [] |
Outlier-Ai/Outlier-70B-V3.3 | Outlier-Ai | 2026-04-29T02:06:17Z | 1,188 | 1 | transformers | [
"transformers",
"outlier_moe",
"text-generation",
"mixture-of-experts",
"moe",
"ternary",
"quantized",
"qwen2.5",
"outlier",
"local-llm",
"on-device",
"edge-ai",
"energy-efficient",
"sparse",
"overlay",
"research",
"apple-silicon",
"mac",
"mmlu-verified",
"custom_code",
"en",... | text-generation | 2026-04-14T15:38:06Z | # Outlier-70B V3.3
Ternary Mixture-of-Experts overlay for [Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct).
Sparse architecture: shared full-precision FFN plus a gated ternary expert FFN per layer.
Built by a solo founder on a Mac Studio as part of the Outlier research line feeding
the [Outlier... | [
{
"start": 278,
"end": 285,
"text": "Outlier",
"label": "benchmark name",
"score": 0.7621329426765442
},
{
"start": 313,
"end": 320,
"text": "Outlier",
"label": "benchmark name",
"score": 0.7958858013153076
},
{
"start": 637,
"end": 641,
"text": "MMLU",
... |
mradermacher/Search-R1-Qwen2.5-7B-Instruct-GGUF | mradermacher | 2025-12-20T21:30:10Z | 1,521 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:hank0316/Search-R1-Qwen2.5-7B-Instruct",
"base_model:quantized:hank0316/Search-R1-Qwen2.5-7B-Instruct",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-20T21:15:29Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
ai-forever/FRED-T5-1.7B | ai-forever | 2023-12-05T18:59:04Z | 682 | 83 | transformers | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"ru",
"arxiv:2309.10931",
"arxiv:2205.05131",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | 2023-01-20T12:43:26Z | # FRED-T5 1.7B (Full-scale Russian Enhanced Denoisers T5)
The model architecture design, pretraining, and evaluation are documented in our preprint: [**A Family of Pretrained Transformer Language Models for Russian**](https://arxiv.org/abs/2309.10931).
The model was trained by [SberDevices](https://sberdevices.ru/).... | [] |
MiniMaxAI/VTP-Small-f16d64 | MiniMaxAI | 2025-12-16T09:22:49Z | 849 | 12 | transformers | [
"transformers",
"safetensors",
"vtp",
"image-feature-extraction",
"en",
"arxiv:2512.13687",
"license:other",
"endpoints_compatible",
"region:us"
] | image-feature-extraction | 2025-12-16T05:06:02Z | <div align="center">
<img src="figures/logo.png" alt="Logo" width="200"/>
<h2> Towards Scalable Pre-training of Visual Tokenizers for Generation </h2>
[Jingfeng Yao](https://github.com/JingfengYao)<sup>1</sup>, [Yuda Song](https://github.com/IDKiro)<sup>2</sup>, Yucong Zhou<sup>2</sup>, [Xinggang Wang](https://xwcv.... | [] |
mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF | mradermacher | 2025-12-09T23:52:12Z | 160 | 1 | transformers | [
"transformers",
"gguf",
"programming",
"code generation",
"code",
"codeqwen",
"moe",
"coding",
"coder",
"qwen2",
"chat",
"qwen",
"qwen-coder",
"Qwen3-Coder-30B-A3B-Instruct",
"Qwen3-30B-A3B",
"mixture of experts",
"128 experts",
"8 active experts",
"1 million context",
"qwen3",... | null | 2025-10-29T14:57:11Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 643,
"end": 694,
"text": "Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-i1-GGUF",
"label": "benchmark name",
"score": 0.6007323265075684
}
] |
z-lab/gpt-oss-120b-DFlash | z-lab | 2026-03-17T06:38:42Z | 1,611 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3",
"feature-extraction",
"dflash",
"speculative-decoding",
"diffusion",
"efficiency",
"flash-decoding",
"diffusion-language-model",
"gpt-oss",
"text-generation",
"custom_code",
"arxiv:2602.06036",
"license:mit",
"text-generation-inference",
"endpo... | text-generation | 2026-02-26T04:14:05Z | # gpt-oss-120b-DFlash
[**Paper**](https://arxiv.org/abs/2602.06036) | [**GitHub**](https://github.com/z-lab/dflash) | [**Blog**](https://z-lab.ai/projects/dflash/)
**DFlash** is a novel speculative decoding method that utilizes a lightweight **block diffusion** model for drafting. It enables efficient, high-quality pa... | [] |
loubb/aria-medium-base | loubb | 2026-04-13T18:49:06Z | 637 | 11 | null | [
"safetensors",
"aria",
"music",
"MIDI",
"piano",
"custom_code",
"en",
"dataset:loubb/aria-midi",
"arxiv:2506.23869",
"license:apache-2.0",
"region:us"
] | null | 2025-06-05T15:42:29Z | # Model
`Aria` is a pretrained autoregressive generative model for symbolic music based on the LLaMA 3.2 (1B) architecture. It was trained on ~60k hours of MIDI transcriptions of expressive solo-piano recordings. It has been finetuned to produce realistic continuations of solo-piano compositions as well as to produce ... | [] |
xtuner/llava-llama-3-8b-v1_1-gguf | xtuner | 2024-04-30T05:29:15Z | 9,713 | 226 | null | [
"gguf",
"image-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"endpoints_compatible",
"region:us",
"conversational"
] | image-to-text | 2024-04-26T10:41:02Z | <div align="center">
<img src="https://github.com/InternLM/lmdeploy/assets/36994684/0cf8d00f-e86b-40ba-9b54-dc8f1bc6c8d8" width="600"/>
[](https://github.com/InternLM/xtuner)
</div>
## Model
llava-llama-3-8b-v1_1 is a LLaVA model fine-tune... | [] |
mradermacher/LLDS-R-GRPO-Qwen2.5-3B-Base-GGUF | mradermacher | 2026-01-16T07:02:29Z | 322 | 1 | transformers | [
"transformers",
"gguf",
"Search",
"QuestionAnswering",
"en",
"base_model:SEGAgentRL/LLDS-R-GRPO-Qwen2.5-3B-Base",
"base_model:quantized:SEGAgentRL/LLDS-R-GRPO-Qwen2.5-3B-Base",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-16T01:14:02Z | ## 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... | [] |
unsloth/granite-4.0-h-tiny-FP8-Dynamic | unsloth | 2025-11-25T09:23:47Z | 110 | 1 | transformers | [
"transformers",
"safetensors",
"granitemoehybrid",
"text-generation",
"language",
"unsloth",
"granite-4.0",
"conversational",
"arxiv:0000.00000",
"base_model:ibm-granite/granite-4.0-h-tiny",
"base_model:quantized:ibm-granite/granite-4.0-h-tiny",
"license:apache-2.0",
"endpoints_compatible",
... | text-generation | 2025-10-02T12:55:57Z | > [!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>
... | [] |
nvidia/gpt-oss-120b-Eagle3-throughput | nvidia | 2026-01-26T21:55:21Z | 1,967 | 33 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"llama",
"nvidia",
"ModelOpt",
"gpt-oss-120b",
"quantized",
"Eagle3",
"text-generation",
"base_model:openai/gpt-oss-120b",
"base_model:finetune:openai/gpt-oss-120b",
"license:other",
"region:us"
] | text-generation | 2025-12-09T21:47:10Z | # Model Overview
## Description:
The NVIDIA gpt-oss-120b Eagle model is the Eagle head of the OpenAI’s gpt-oss-120b model, which is an auto-regressive language model that uses a mixture-of-experts (MoE) architecture with 5 billion activated parameters and 120 billion total parameters. For more information, please chec... | [] |
prometheus-eval/prometheus-7b-v2.0 | prometheus-eval | 2024-11-29T16:56:42Z | 71,462 | 102 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"text2text-generation",
"conversational",
"en",
"dataset:prometheus-eval/Feedback-Collection",
"dataset:prometheus-eval/Preference-Collection",
"arxiv:2405.01535",
"arxiv:2310.08491",
"license:apache-2.0",
"text-generation-inferenc... | text-generation | 2024-02-13T17:18:13Z | ## Links for Reference
- **Homepage: In Progress**
- **Repository:https://github.com/prometheus-eval/prometheus-eval**
- **Paper:https://arxiv.org/abs/2405.01535**
- **Point of Contact:seungone@cmu.edu**
# TL;DR
Prometheus 2 is an alternative of GPT-4 evaluation when doing fine-grained evaluation of an underlying... | [] |
motus-robotics/Motus | motus-robotics | 2025-12-16T03:43:54Z | 110 | 4 | transformers | [
"transformers",
"Motus",
"Vision-Language-Action",
"World-Model",
"Bimanual",
"Manipulation",
"Flowmatching",
"Diffusion",
"Latent-Action",
"UniDiffuser",
"MoT",
"robotics",
"en",
"arxiv:2512.13030",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | robotics | 2025-12-03T08:33:36Z | # Motus: A Unified Latent Action World Model (Stage 2 Pretrained)
**Motus** is a **unified latent action world model** that leverages existing pretrained models and rich, sharable motion information. Motus introduces a **Mixture-of-Transformers (MoT)** architecture to integrate three experts (understanding, action, an... | [] |
hynt/Zipformer-30M-RNNT-6000h | hynt | 2026-02-01T14:40:04Z | 290 | 41 | null | [
"onnx",
"license:cc-by-nc-nd-4.0",
"region:us"
] | null | 2025-10-17T16:01:53Z | # Vietnamese Speech-to-Text (ASR) — ZipFormer-30M-RNNT-6000h
## 🔍 Overview
The **Vietnamese Speech-to-Text (ASR)** model is built on the **ZipFormer architecture** — an improved variant of the Conformer — featuring only **30 million parameters** yet achieving **exceptional performance** in both speed and accuracy.
... | [] |
pthinc/Cicikus-v3-1.4B-Opus4.6-Powered | pthinc | 2026-03-20T17:48:48Z | 311 | 2 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"chat",
"text-generation-inference",
"agent",
"cicikuş",
"cicikus",
"prettybird",
"bce",
"consciousness",
"conscious",
"llm",
"optimized",
"ethic",
"secure",
"turkish",
"english",
"behavioral-consciousness-engine",
"m... | text-generation | 2026-03-16T13:16:08Z | <div align="center">
<video width="100%" max-width="800px" height="auto" controls autoplay loop muted playsinline poster="https://cdn-uploads.huggingface.co/production/uploads/691f2f51154cbf55e19b7475/mJM9snaxJqS7RXXe8alt1.png">
<source src="https://cdn-uploads.huggingface.co/production/uploads/691f2f51154cbf55e1... | [] |
mradermacher/next2.5-GGUF | mradermacher | 2026-03-10T11:45:13Z | 878 | 1 | transformers | [
"transformers",
"gguf",
"turkish",
"türkiye",
"reasoning",
"vision-language",
"vlm",
"multimodal",
"lamapi",
"next2.5",
"qwen3.5",
"gemma-3",
"text-generation",
"image-text-to-text",
"open-source",
"4b",
"edge-ai",
"large-language-model",
"llm",
"thinking-mode",
"tr",
"en",... | text-generation | 2026-03-09T16:24:06Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
TheCluster/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-MLX-mxfp8 | TheCluster | 2026-03-19T02:05:11Z | 636 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"uncensored",
"unrestricted",
"decensored",
"mxfp8",
"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",
... | image-text-to-text | 2026-03-17T23:45:38Z | # Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive
Qwen3.5-35B-A3B uncensored by HauhauCS.
**Quality**: quantized (***mxfp8**, group size: 32, 8.349 bpw*)
## About
No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals.
These are meant to be t... | [] |
Outlier-Ai/Outlier-Compact-14B-GGUF | Outlier-Ai | 2026-04-29T02:05:30Z | 199 | 1 | gguf | [
"gguf",
"llama-cpp",
"llama.cpp",
"ollama",
"lm-studio",
"jan",
"quantized",
"4bit",
"4-bit",
"5-bit",
"8-bit",
"local-llm",
"on-device",
"cpu",
"edge-ai",
"offline",
"outlier",
"outlier-app",
"qwen2.5",
"qwen",
"text-generation",
"conversational",
"chat",
"instruct",
... | text-generation | 2026-04-18T00:59:08Z | # Outlier Compact 14B (GGUF)
Cross-platform build for llama.cpp, Ollama, LM Studio, and Jan. Runs on macOS, Windows, and
Linux. Multiple quant levels included so you can pick by RAM budget.
## Quick facts
- **Formats included:** Q4_K_M, Q5_K_M, Q8_0
- **Frozen base:** [Qwen2.5-14B-Instruct](https://huggingface.co/Qw... | [] |
kd13/RoPERT-MLM-mini | kd13 | 2026-04-28T20:18:06Z | 257 | 1 | transformers | [
"transformers",
"safetensors",
"mybert",
"fill-mask",
"mlm",
"custom_code",
"en",
"dataset:kd13/bookcorpus-clean",
"license:mit",
"region:us"
] | fill-mask | 2026-04-25T06:57:51Z | # BERTmini — Custom BERT with RoPE & Pre-LN Trained from Scratch
A compact BERT-style masked language model trained entirely from scratch on BookCorpus. The architecture replaces the canonical absolute positional embeddings with **Rotary Position Embeddings (RoPE)** and adopts a **Pre-Layer Normalization** (Pre-LN) re... | [] |
dongboklee/gORM-14B-merged | dongboklee | 2025-10-06T06:52:10Z | 554 | 1 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"base_model:adapter:deepseek-ai/DeepSeek-R1-Distill-Qwen-14B",
"lora",
"reward-model",
"conversational",
"en",
"arxiv:2510.00492",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-14B",
"license:apache-2.0",
"text-generation-inferenc... | text-generation | 2025-09-29T10:49:00Z | # gORM-14B-merged
This model is a LoRA-merged version of [gORM-14B](https://huggingface.co/dongboklee/gORM-14B) for vLLM inference.
For details:
- **Paper:** [Rethinking Reward Models for Multi-Domain Test-Time Scaling](https://huggingface.co/papers/2510.00492)
- **Repository:** [https://github.com/db-Lee/Multi-RM](... | [] |
mradermacher/Hemlock-Qwen2.5-Coder-7B-GGUF | mradermacher | 2025-12-20T10:29:21Z | 614 | 2 | transformers | [
"transformers",
"gguf",
"en",
"dataset:nbeerbower/hemlock-sft-v0.1",
"base_model:nbeerbower/Hemlock-Qwen2.5-Coder-7B",
"base_model:quantized:nbeerbower/Hemlock-Qwen2.5-Coder-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-20T09:19:39Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
amd/Kimi-K2-Instruct-0905-MXFP4 | amd | 2026-04-20T07:15:18Z | 151 | 1 | null | [
"safetensors",
"deepseek_v3",
"custom_code",
"base_model:moonshotai/Kimi-K2-Instruct-0905",
"base_model:quantized:moonshotai/Kimi-K2-Instruct-0905",
"license:other",
"8-bit",
"quark",
"region:us"
] | null | 2026-01-23T06:46:30Z | # Model Overview
- **Model Architecture:** Kimi-K2-Instruct
- **Input:** Text
- **Output:** Text
- **Supported Hardware Microarchitecture:** AMD MI350/MI355
- **ROCm:** 7.0
- **Operating System(s):** Linux
- **Inference Engine:** [vLLM](https://docs.vllm.ai/en/latest/)
- **Model Optimizer:** [AMD-Quark](https://qu... | [] |
shibing624/macbert4csc-base-chinese | shibing624 | 2025-09-15T09:55:38Z | 6,651 | 116 | transformers | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"bert",
"fill-mask",
"zh",
"pycorrector",
"text-generation",
"dataset:shibing624/CSC",
"arxiv:2004.13922",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | # MacBERT for Chinese Spelling Correction(macbert4csc) Model
中文拼写纠错模型
`macbert4csc-base-chinese` evaluate SIGHAN2015 test data：
| | Correct-Precision | Correct-Recall | Correct-F1 |
|--|--|--|--|
| Chararcter-level | 93.72 | 86.40 | 89.91 |
| Sentence-level | 82.64 | 73.66 | 77.89 |
由于训练使用的数据使用了SIGHAN2015的训练集（复现p... | [] |
GadflyII/Qwen3-Coder-Next-NVFP4 | GadflyII | 2026-02-04T01:26:48Z | 718,965 | 37 | transformers | [
"transformers",
"safetensors",
"qwen3_next",
"text-generation",
"qwen3",
"moe",
"nvfp4",
"quantized",
"llmcompressor",
"vllm",
"conversational",
"base_model:Qwen/Qwen3-Coder-Next",
"base_model:quantized:Qwen/Qwen3-Coder-Next",
"license:apache-2.0",
"endpoints_compatible",
"compressed-t... | text-generation | 2026-02-04T01:12:49Z | # Note: If you have a multi-GPU SM120 Blackwell system (RTX 50/Pro), try my vLLM fork to resolve P2P / TP=2 issues (Pending PR into upstream).
https://github.com/Gadflyii/vllm/tree/main
# Qwen3-Coder-Next-NVFP4
NVFP4 quantized version of [Qwen/Qwen3-Coder-Next](https://huggingface.co/Qwen/Qwen3-Coder-Next) (80B-A3B)... | [
{
"start": 190,
"end": 212,
"text": "Qwen3-Coder-Next-NVFP4",
"label": "benchmark name",
"score": 0.7376254796981812
},
{
"start": 242,
"end": 246,
"text": "Qwen",
"label": "benchmark name",
"score": 0.6009806990623474
},
{
"start": 247,
"end": 263,
"text"... |
BAAI/Emu3-Gen-hf | BAAI | 2025-05-23T07:47:13Z | 997 | 2 | null | [
"safetensors",
"emu3",
"vision",
"image-text-to-text",
"conversational",
"en",
"arxiv:2409.18869",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2024-10-24T09:09:07Z | <div align='center'>
<h1>Emu3: Next-Token Prediction is All You Need</h1h1>
<h3></h3>
[Emu3 Team, BAAI](https://www.baai.ac.cn/english.html)
</div>
<div align='left'>
<img src="https://github.com/baaivision/Emu3/blob/main/assets/arch.png?raw=True" class="interpolation-image" alt="arch." height="80%" width="70%" />
... | [] |
inferencerlabs/DeepSeek-V4-Pro-MLX-2.8bit-EXP | inferencerlabs | 2026-04-29T23:42:07Z | 798 | 1 | mlx | [
"mlx",
"deepseek_v4",
"quantized",
"text-generation",
"conversational",
"en",
"base_model:deepseek-ai/DeepSeek-V4-Pro",
"base_model:quantized:deepseek-ai/DeepSeek-V4-Pro",
"region:us"
] | text-generation | 2026-04-27T14:17:35Z | # NOTICE
<marquee direction="left" width="400">
<h1 style="font-size: 60px; color: red;">CURRENTLY UPLOADING... </h1>
</marquee>
**See DeepSeek-V4-Pro MLX in action - [demonstration videos](https://youtube.com/xcreate)**
#### Tested with an M3 Ultra 512 GiB and M4 Max 128 GiB RAM u... | [] |
huihui-ai/Qwen2.5-VL-32B-Instruct-abliterated | huihui-ai | 2025-11-07T23:37:16Z | 637 | 18 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"multimodal",
"abliterated",
"uncensored",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-VL-32B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-32B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints... | image-text-to-text | 2025-04-01T18:17:25Z | # huihui-ai/Qwen2.5-VL-32B-Instruct-abliterated
This is an uncensored version of [Qwen/Qwen2.5-VL-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-32B-Instruct) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it)... | [] |
vasista22/whisper-tamil-medium | vasista22 | 2023-04-24T21:04:25Z | 907 | 16 | transformers | [
"transformers",
"pytorch",
"jax",
"whisper",
"automatic-speech-recognition",
"whisper-event",
"ta",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2022-12-21T19:15:23Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Tamil Medium
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) ... | [] |
amazon/chronos-t5-mini | amazon | 2025-11-21T12:55:40Z | 33,745 | 19 | chronos-forecasting | [
"chronos-forecasting",
"safetensors",
"t5",
"time series",
"forecasting",
"pretrained models",
"foundation models",
"time series foundation models",
"time-series",
"time-series-forecasting",
"arxiv:2403.07815",
"arxiv:1910.10683",
"license:apache-2.0",
"region:us"
] | time-series-forecasting | 2024-02-21T08:06:36Z | # Chronos-T5 (Mini)
🚀 **Update Feb 14, 2025**: Chronos-Bolt & original Chronos models are now available on Amazon SageMaker JumpStart! Check out the [tutorial notebook](https://github.com/amazon-science/chronos-forecasting/blob/main/notebooks/deploy-chronos-to-amazon-sagemaker.ipynb) to learn how to deploy Chronos en... | [] |
DavidAU/Llama-3.2-4X3B-MOE-Hell-California-Uncensored-10B-GGUF | DavidAU | 2025-07-28T00:15:52Z | 2,947 | 74 | null | [
"gguf",
"mixture of experts",
"moe",
"4x3B",
"Llama 3.2 MOE",
"uncensored",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"llama",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"... | text-generation | 2024-12-12T01:30:01Z | <B><font color="red">WARNING:</font> NSFW. Vivid prose. INTENSE. Visceral Details. HORROR. Swearing. UNCENSORED... humor, romance, fun. </B>
<h2>Llama-3.2-4X3B-MOE-Hell-California-Uncensored-10B-GGUF</h2>
<img src="moe-hell.jpg" style="float:right; width:300px; height:300px; padding:10px;">
It is a LLama 3.2 model, ... | [] |
MohamedRashad/arabic-large-nougat | MohamedRashad | 2024-11-28T18:50:05Z | 321 | 17 | transformers | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"image-text-to-text",
"arabic",
"ocr",
"books",
"markdown-extraction",
"vision-transformers",
"image-to-text",
"ar",
"en",
"dataset:MohamedRashad/arabic-img2md",
"arxiv:2411.17835",
"license:gpl-3.0",
"endpoints_compatible",
"r... | image-to-text | 2024-10-18T01:34:16Z | # Arabic Large Nougat
**En**d-**t**o-**En**d **Structur**ed **OC**R **fo**r **Arab**ic **boo**ks.
<center>
<img src="https://cdn-uploads.huggingface.co/production/uploads/6116d0584ef9fdfbf45dc4d9/Z0LKcfyOFJG9uopzqinCx.jpeg" width="60%">
</center>
## Description
<div align="center">
<!-- **Affiliations:** -->
[**G... | [] |
microsoft/LLM2CLIP-Openai-B-16 | microsoft | 2024-11-24T10:09:05Z | 1,641 | 19 | null | [
"safetensors",
"clip",
"CLIP",
"LLM2CLIP",
"zero-shot-classification",
"custom_code",
"arxiv:2411.04997",
"doi:10.57967/hf/3482",
"license:apache-2.0",
"region:us"
] | zero-shot-classification | 2024-11-07T19:26:28Z | <div align="center">
<h2><a href="">LLM2CLIP: Extending the Capability Boundaries of CLIP through Large Language Models</a></h2>
Weiquan Huang<sup>1*</sup>, Aoqi Wu<sup>1*</sup>, Yifan Yang<sup>2†</sup>, Xufang Luo<sup>2</sup>, Yuqing Yang<sup>2</sup>, Liang Hu<sup>1</sup>, Qi Dai<sup>2</sup>, Xiyang Dai<sup>2</sup>, ... | [] |
0xA50C1A1/Llama-3.3-8B-Nymphaea-RP | 0xA50C1A1 | 2026-04-28T19:51:55Z | 492 | 2 | transformers | [
"transformers",
"safetensors",
"gguf",
"llama",
"text-generation",
"uncensored",
"roleplay",
"trl",
"rp",
"creative-writing",
"conversational",
"base_model:0xA50C1A1/Llama-3.3-8B-Instruct-128K-SOM-MPOA",
"base_model:quantized:0xA50C1A1/Llama-3.3-8B-Instruct-128K-SOM-MPOA",
"license:apache-... | text-generation | 2026-04-10T05:11:32Z | # Llama-3.3-8B-Nymphaea-RP
A fine-tune of Llama 3.3 8B Instruct for roleplay and creative writing.
I've trained this mostly for merging with Llama 3.1/3.3 8B fine-tunes.
> [!Tip]
> The SillyTavern preset is available [here](https://huggingface.co/0xA50C1A1/Llama-3.3-8B-Nymphaea-RP/blob/main/ST-Preset.json).
> For cu... | [] |
BennyDaBall/qwen3-4b-Z-Image-Engineer-V2-8bit-MLX | BennyDaBall | 2025-12-19T05:12:56Z | 394 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3",
"z-image-turbo",
"prompt-engineering",
"heretic",
"prompt-enhancer",
"license:apache-2.0",
"8-bit",
"region:us"
] | null | 2025-12-18T19:15:35Z | # Qwen3-4B-Z-Image-Engineer-V2 (MLX 8-bit): The "Z-Engineer" Returns
## 🚀 Version 2: Now With More "Locally Sourced" Intelligence (and optimized for Apple Silicon)
Welcome to **Z-Engineer V2**, the significantly upgraded, locally-grown, and still slightly rebellious solution to automated prompt engineering.
I... | [] |
mlx-community/chatterbox-4bit | mlx-community | 2026-01-05T19:28:32Z | 113 | 7 | mlx-audio | [
"mlx-audio",
"safetensors",
"chatterbox",
"text-to-speech",
"speech",
"speech generation",
"voice cloning",
"mlx",
"tts",
"ar",
"da",
"de",
"el",
"en",
"es",
"fi",
"fr",
"he",
"hi",
"it",
"ja",
"ko",
"ms",
"nl",
"no",
"pl",
"pt",
"ru",
"sv",
"sw",
"tr",
... | text-to-speech | 2025-12-17T16:14:40Z | # mlx-community/chatterbox-4bit
This model was converted to MLX format from [`ResembleAI/chatterbox`](https://huggingface.co/ResembleAI/chatterbox) using mlx-audio version **0.2.7**.
Refer to the [original model card](https://huggingface.co/ResembleAI/chatterbox) for more details on the model.
## Use with mlx
```bash... | [] |
NoesisLab/Kai-30B-Instruct | NoesisLab | 2026-03-26T12:39:48Z | 537 | 21 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"math",
"reasoning",
"ads",
"distillation",
"code",
"conversational",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-28T21:46:02Z | NoesisLab Privacy Policy for OpenRouter Integration
1. Data Processing: NoesisLab processes user prompts solely for the purpose of generating model inferences. We do not use any data transmitted through OpenRouter to train or fine-tune our models without explicit user consent.
2. Data Retention: We do not store person... | [
{
"start": 698,
"end": 714,
"text": "Kai-30B-Instruct",
"label": "benchmark name",
"score": 0.6703807711601257
},
{
"start": 979,
"end": 995,
"text": "Kai-30B-Instruct",
"label": "benchmark name",
"score": 0.7055208086967468
},
{
"start": 1403,
"end": 1419,
... |
timm/tf_efficientnet_lite4.in1k | timm | 2025-01-21T18:19:51Z | 525 | 2 | timm | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"transformers",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | 2022-12-13T00:14:01Z | # Model card for tf_efficientnet_lite4.in1k
A EfficientNet-Lite image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Params (M): 13.0
- GMACs: 4.0
- ... | [] |
coder3101/Qwen3-VL-32B-Thinking-heretic-v2 | coder3101 | 2026-01-17T18:06:36Z | 151 | 8 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-32B-Thinking",
"base_model:finetune:Qwen/Qwen... | image-text-to-text | 2025-12-16T08:55:33Z | # This is a decensored version of [Qwen/Qwen3-VL-32B-Thinking](https://huggingface.co/Qwen/Qwen3-VL-32B-Thinking), made using [Heretic](https://github.com/p-e-w/heretic) v1.1.0
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 26.80 |
| **attn.o_proj.max_weight** | 1.22 |
... | [
{
"start": 35,
"end": 61,
"text": "Qwen/Qwen3-VL-32B-Thinking",
"label": "benchmark name",
"score": 0.6085253953933716
},
{
"start": 324,
"end": 355,
"text": "attn.o_proj.max_weight_position",
"label": "evaluation metric",
"score": 0.6654211282730103
},
{
"start":... |
Jackrong/Qwen3.5-9B-DeepSeek-V4-Flash-GGUF | Jackrong | 2026-05-02T14:32:42Z | 22,241 | 58 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3_5",
"reasoning",
"distillation",
"deepseek",
"deepseek-v4",
"sft",
"long-cot",
"chain-of-thought",
"efficient-inference",
"agent",
"multilingual",
"image-text-to-text",
"en",
"zh",
"ko",
"ja",
"es",
"ru"... | image-text-to-text | 2026-04-29T16:12:36Z | # 🌟 Qwen3.5-9B-DeepSeek-V4-Flash
## 💡 Model Overview & Design
> [!NOTE]
> **Qwen3.5-9B-DeepSeek-V4-Flash** is an efficient reasoning model distilled using high-qual... | [] |
mradermacher/granite-4.0-h-7b-heretic-i1-GGUF | mradermacher | 2025-12-04T12:58:50Z | 149 | 5 | transformers | [
"transformers",
"gguf",
"language",
"granite-4.0",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:pszemraj/granite-4.0-h-7b-heretic",
"base_model:quantized:pszemraj/granite-4.0-h-7b-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
... | null | 2025-11-19T09:57:44Z | ## 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_... | [] |
llava-hf/LLaVA-NeXT-Video-34B-hf | llava-hf | 2025-11-11T12:38:39Z | 451 | 12 | transformers | [
"transformers",
"safetensors",
"llava_next_video",
"image-text-to-text",
"video-text-to-text",
"en",
"arxiv:2405.21075",
"license:llama2",
"endpoints_compatible",
"region:us"
] | video-text-to-text | 2024-06-06T12:42:07Z | # 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... | [] |
DavidAU/Psyonic-Cetacean-Ultra-Quality-20b-GGUF-imatrix | DavidAU | 2025-07-28T00:31:01Z | 361 | 15 | null | [
"gguf",
"creative",
"story",
"writing",
"fiction",
"float32",
"roleplaying",
"rp",
"enhanced",
"space whale",
"32 bit upscale",
"llama",
"llama-2",
"text-generation",
"en",
"base_model:jebcarter/psyonic-cetacean-20B",
"base_model:quantized:jebcarter/psyonic-cetacean-20B",
"license:... | text-generation | 2024-05-29T03:36:20Z | <font color=red><h3> Ultra Quality High Remaster of the incredible: Psyonic-Cetacean-20b - Imatrix Plus. </h3></font>
This is a Floating Point 32 upscale, where all components and merges were remastered to floating point 32.
This includes all the merges (recreated with master files), and where possible subbing full FP... | [
{
"start": 68,
"end": 88,
"text": "Psyonic-Cetacean-20b",
"label": "benchmark name",
"score": 0.8012137413024902
},
{
"start": 1041,
"end": 1045,
"text": "Q4KM",
"label": "benchmark name",
"score": 0.6296530961990356
},
{
"start": 1353,
"end": 1373,
"text"... |
yuvalkirstain/PickScore_v1 | yuvalkirstain | 2023-05-08T08:32:12Z | 330,986 | 50 | transformers | [
"transformers",
"pytorch",
"safetensors",
"clip",
"zero-shot-image-classification",
"arxiv:2305.01569",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2023-04-24T08:08:20Z | # Model Card for PickScore v1
This model is a scoring function for images generated from text. It takes as input a prompt and a generated image and outputs a score.
It can be used as a general scoring function, and for tasks such as human preference prediction, model evaluation, image ranking, and more.
See our pape... | [
{
"start": 17,
"end": 26,
"text": "PickScore",
"label": "benchmark name",
"score": 0.8308725953102112
},
{
"start": 731,
"end": 740,
"text": "PickScore",
"label": "benchmark name",
"score": 0.8028864860534668
}
] |
bartowski/TheDrummer_Snowpiercer-15B-v3-GGUF | bartowski | 2025-09-30T14:51:02Z | 260 | 3 | null | [
"gguf",
"text-generation",
"base_model:TheDrummer/Snowpiercer-15B-v3",
"base_model:quantized:TheDrummer/Snowpiercer-15B-v3",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-09-30T13:50:43Z | ## Llamacpp imatrix Quantizations of Snowpiercer-15B-v3 by TheDrummer
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b6635">b6635</a> for quantization.
Original model: https://huggingface.co/TheDrummer/Snowpiercer-15B-v3
All qu... | [] |
naver-clova-ix/donut-base | naver-clova-ix | 2022-08-13T08:27:12Z | 152,510 | 253 | transformers | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"image-text-to-text",
"donut",
"image-to-text",
"vision",
"arxiv:2111.15664",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-to-text | 2022-07-19T13:49:17Z | # Donut (base-sized model, pre-trained only)
Donut model pre-trained-only. It was introduced in the paper [OCR-free Document Understanding Transformer](https://arxiv.org/abs/2111.15664) by Geewok et al. and first released in [this repository](https://github.com/clovaai/donut).
Disclaimer: The team releasing Donut di... | [] |
videosdk-live/Namo-Turn-Detector-v1-Multilingual | videosdk-live | 2025-10-15T07:40:29Z | 390 | 17 | onnxruntime | [
"onnxruntime",
"onnx",
"modernbert",
"turn-detection",
"end-of-utterance",
"mmbert",
"quantized",
"conversational-ai",
"voice-assistant",
"real-time",
"voice-activity-detection",
"en",
"ar",
"bn",
"zh",
"da",
"nl",
"de",
"fi",
"fr",
"hi",
"id",
"it",
"ja",
"ko",
"mr... | voice-activity-detection | 2025-09-24T11:42:58Z | # 🎯 Namo Turn Detector v1 - MultiLingual
<div align="center">
[](https://opensource.org/licenses/Apache-2.0)
[](https://onnx.ai/)
[![Model Size](https://img.shields.io/badge/Model%20S... | [] |
QuantTrio/DeepSeek-V3.1-AWQ | QuantTrio | 2025-08-27T06:47:56Z | 834 | 5 | transformers | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"vLLM",
"GPTQ",
"conversational",
"custom_code",
"zh",
"en",
"arxiv:2412.19437",
"base_model:deepseek-ai/DeepSeek-V3.1",
"base_model:quantized:deepseek-ai/DeepSeek-V3.1",
"license:mit",
"text-generation-inference",
"endpo... | text-generation | 2025-08-25T14:48:53Z | # DeepSeek-V3.1-AWQ
Base model: [DeepSeek-V3.1](https://huggingface.co/deepseek-ai/DeepSeek-V3.1)
### 【Dependencies / Installation】
As of **2025-08-27**, create a fresh Python environment and run:
```bash
# ❗there are glitches with vllm 0.10.1.1, still looking for resolutions❗
# ❗downgrade vllm for now ❗
pip install ... | [
{
"start": 33,
"end": 46,
"text": "DeepSeek-V3.1",
"label": "benchmark name",
"score": 0.6034133434295654
}
] |
BSC-LT/MrBERT | BSC-LT | 2026-03-26T17:33:07Z | 1,497 | 7 | transformers | [
"transformers",
"pytorch",
"safetensors",
"modernbert",
"fill-mask",
"masked-lm",
"long-context",
"multilingual",
"bg",
"ca",
"code",
"cs",
"cy",
"da",
"de",
"el",
"en",
"es",
"et",
"eu",
"fi",
"fr",
"ga",
"gl",
"hr",
"hu",
"it",
"lt",
"lv",
"mt",
"nl",
... | fill-mask | 2025-12-23T07:35:15Z | # MrBERT Model Card
MrBERT is a multilingual foundational encoder model based on the [ModernBERT](https://huggingface.co/answerdotai/ModernBERT-base/tree/main) architecture. It is pre-trained from scratch on a large-scale corpus of 6.1 trillion tokens covering 35 European languages as well as code. By building on Mode... | [] |
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