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 |
|---|---|---|---|---|---|---|---|---|---|---|
ibm-granite/granite-4.0-1b-speech | ibm-granite | 2026-04-02T14:28:38Z | 62,150 | 211 | transformers | [
"transformers",
"safetensors",
"granite_speech",
"automatic-speech-recognition",
"multilingual",
"en",
"fr",
"de",
"es",
"pt",
"ja",
"arxiv:2505.08699",
"arxiv:2603.11243",
"base_model:ibm-granite/granite-4.0-1b-base",
"base_model:finetune:ibm-granite/granite-4.0-1b-base",
"license:apa... | automatic-speech-recognition | 2026-02-27T22:26:19Z | # Granite-4.0-1b-speech
**Model Summary:**
Granite-4.0-1b-speech is a compact and efficient speech-language model, specifically designed for multilingual automatic speech recognition (ASR) and bidirectional automatic speech translation (AST).
The model was trained on a collection of public corpora comprising of diver... | [
{
"start": 2,
"end": 23,
"text": "Granite-4.0-1b-speech",
"label": "benchmark name",
"score": 0.6915978789329529
},
{
"start": 44,
"end": 65,
"text": "Granite-4.0-1b-speech",
"label": "benchmark name",
"score": 0.6078739166259766
},
{
"start": 456,
"end": 477,... |
mradermacher/OpenGoody-2-i1-GGUF | mradermacher | 2026-04-18T18:45:34Z | 392 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3_5",
"en",
"dataset:WitchesSocialStream/MyDreamGirls-Goody2AI",
"base_model:theminji/OpenGoody-2",
"base_model:quantized:theminji/OpenGoody-2",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conve... | null | 2026-03-15T11:19:55Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
surawut/chess-move-tracking-yolo11 | surawut | 2025-12-08T13:46:39Z | 192 | 4 | ultralytics | [
"ultralytics",
"yolo11",
"pytorch",
"object-detection",
"keypoint-detection",
"chess",
"computer-vision",
"en",
"dataset:surawut/chessboard-dataset-yolo",
"dataset:surawut/chess-pieces-dataset-yolo",
"base_model:Ultralytics/YOLO11",
"base_model:finetune:Ultralytics/YOLO11",
"license:agpl-3.0... | object-detection | 2025-12-04T09:57:55Z | # Chess Move Tracking Models (YOLO11)
This repository contains fine-tuned models for a Chess Move Tracking pipeline.
## Models
1. **`models/yolo11s_pose_chessboard.pt`**:
* **Architecture:** YOLO11s-pose
* **Task:** Keypoint Detection (Chessboard Corner Localization).
* **Classes:** 1 class (`chessboard... | [] |
VSSA-SDSA/LT-MLKM-modernBERT | VSSA-SDSA | 2026-04-20T07:58:13Z | 2,273 | 2 | transformers | [
"transformers",
"safetensors",
"modernbert",
"fill-mask",
"masked-lm",
"lithuanian",
"lt",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | fill-mask | 2025-10-28T16:17:28Z | # Model Card for LT-MLKM-modernBERT
## Table of Contents
- [Model Details](#model-details)
- [How to Get Started with the Model](#how-to-get-started-with-the-model)
- [Uses](#uses)
- [Risks, Biases, and Limitations](#risks-biases-and-limitations)
- [Training Details](#training-details)
- [Evaluation](#evaluation)
- [C... | [] |
stelterlab/DeepSeek-R1-0528-Qwen3-8B-AWQ | stelterlab | 2025-06-04T17:30:33Z | 593 | 6 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2501.12948",
"base_model:deepseek-ai/DeepSeek-R1-0528-Qwen3-8B",
"base_model:quantized:deepseek-ai/DeepSeek-R1-0528-Qwen3-8B",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"awq... | text-generation | 2025-06-04T17:27:12Z | AWQ quantization: done by stelterlab in INT4 GEMM with AutoAWQ by casper-hansen (https://github.com/casper-hansen/AutoAWQ/)
Original Weights by DeepSeek AI. Original Model Card follows:
# DeepSeek-R1-0528
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-dupli... | [] |
AITRADER/Amsi-fin-o1.5-mxfp8-MLX | AITRADER | 2026-03-16T18:37:50Z | 128 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"apple-silicon",
"mlx-vlm",
"finance",
"trading",
"vision-language",
"reasoning",
"tool-calling",
"qwen3.5",
"vlm",
"8bit",
"quantized",
"image-text-to-text",
"conversational",
"base_model:AITRADER/Amsi-fin-o1.5",
"base_model:quantized:AITRADER/Amsi... | image-text-to-text | 2026-03-15T21:13:39Z | # Amsi-fin-o1.5 — 8-bit MLX
[](https://github.com/ml-explore/mlx)
[](https://opensource.org/licenses/Apache-2.0)
[](... | [] |
mradermacher/Qwen3-4B-Instruct-2507-heretic-av2-GGUF | mradermacher | 2026-01-04T08:35:03Z | 203 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:arnomatic/Qwen3-4B-Instruct-2507-heretic-av2",
"base_model:quantized:arnomatic/Qwen3-4B-Instruct-2507-heretic-av2",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-04T06:05:03Z | ## 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... | [] |
bartowski/Qwen_Qwen3-VL-2B-Thinking-GGUF | bartowski | 2025-10-30T18:57:41Z | 548 | 2 | null | [
"gguf",
"image-text-to-text",
"base_model:Qwen/Qwen3-VL-2B-Thinking",
"base_model:quantized:Qwen/Qwen3-VL-2B-Thinking",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-10-30T18:37:25Z | ## Llamacpp imatrix Quantizations of Qwen3-VL-2B-Thinking by Qwen
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b6888">b6888</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen3-VL-2B-Thinking
All quants mad... | [] |
nvidia/NVIDIA-Nemotron-Nano-12B-v2 | nvidia | 2025-11-25T00:50:59Z | 24,796 | 159 | 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 | 2025-08-21T01:31:50Z | # 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... | [] |
TheDrummer/Behemoth-X-123B-v2-GGUF | TheDrummer | 2025-08-31T13:27:40Z | 316 | 4 | null | [
"gguf",
"base_model:mistralai/Mistral-Large-Instruct-2411",
"base_model:quantized:mistralai/Mistral-Large-Instruct-2411",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-21T03:34:40Z | # Join our Discord! https://discord.gg/BeaverAI
## More than 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 [Patr... | [] |
Ex0bit/MiniMax-M2.5-PRISM-LITE | Ex0bit | 2026-02-14T04:22:22Z | 1,067 | 3 | transformers | [
"transformers",
"gguf",
"minimax",
"prism",
"moe",
"reasoning",
"coding",
"agentic",
"abliterated",
"text-generation",
"en",
"zh",
"base_model:MiniMaxAI/MiniMax-M2.5",
"base_model:finetune:MiniMaxAI/MiniMax-M2.5",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"... | text-generation | 2026-02-13T23:32:37Z | []()
[]()
[]()
[]()
<p align="center">
<img src="https:... | [] |
mradermacher/fujin-9b-GGUF | mradermacher | 2026-03-06T11:36:53Z | 1,569 | 1 | transformers | [
"transformers",
"gguf",
"base_model:adapter:Qwen/Qwen3.5-9B",
"lora",
"sft",
"trl",
"en",
"base_model:Burnt-Toast/fujin-9b",
"base_model:adapter:Burnt-Toast/fujin-9b",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-05T16:24:20Z | ## 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... | [] |
BennyDaBall/qwen3-4b-Z-Image-Engineer-V2-4bit-MLX | BennyDaBall | 2025-12-19T05:12:40Z | 167 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3",
"z-image-turbo",
"prompt-engineering",
"heretic",
"prompt-enhancer",
"license:apache-2.0",
"4-bit",
"region:us"
] | null | 2025-12-18T19:16:21Z | # Qwen3-4B-Z-Image-Engineer-V2 (MLX 4-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... | [] |
VAGOsolutions/SauerkrautLM-ColQwen3-1.7b-Turbo-v0.1 | VAGOsolutions | 2025-12-14T19:28:48Z | 170 | 3 | sauerkrautlm-colpali | [
"sauerkrautlm-colpali",
"safetensors",
"colqwen3",
"document-retrieval",
"vision-language-model",
"multi-vector",
"colpali",
"late-interaction",
"visual-retrieval",
"qwen3-vl",
"pruned",
"turbo",
"efficient",
"mteb",
"vidore",
"image-text-to-text",
"conversational",
"en",
"de",
... | image-text-to-text | 2025-12-11T18:33:46Z | # SauerkrautLM-ColQwen3-1.7b-Turbo-v0.1
<p align="center">
<img src="https://vago-solutions.ai/wp-content/uploads/2025/12/Sauerkrautlm-colpali-scaled.png" alt="VAGO Solutions Logo" width="75%"/>
</p>
**⚡ Turbo Edition** | **23% Smaller, 88.89 ViDoRe v1**
SauerkrautLM-ColQwen3-1.7b-Turbo-v0.1 is a **pruned and opti... | [
{
"start": 2,
"end": 39,
"text": "SauerkrautLM-ColQwen3-1.7b-Turbo-v0.1",
"label": "benchmark name",
"score": 0.6884000301361084
},
{
"start": 260,
"end": 297,
"text": "SauerkrautLM-ColQwen3-1.7b-Turbo-v0.1",
"label": "benchmark name",
"score": 0.7282068133354187
}
] |
nomic-ai/CodeRankEmbed | nomic-ai | 2025-06-24T01:59:48Z | 79,016 | 57 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"nomic_bert",
"custom_code",
"arxiv:2412.01007",
"base_model:Snowflake/snowflake-arctic-embed-m-long",
"base_model:finetune:Snowflake/snowflake-arctic-embed-m-long",
"license:mit",
"region:us"
] | null | 2024-11-03T19:47:00Z | # CodeRankEmbed
`CodeRankEmbed` is a 137M bi-encoder supporting 8192 context length for code retrieval. It significantly outperforms various open-source and proprietary code embedding models on various code retrieval tasks.
Check out our [blog post](https://gangiswag.github.io/cornstack/) and [paper](https://arxiv.... | [
{
"start": 2,
"end": 15,
"text": "CodeRankEmbed",
"label": "benchmark name",
"score": 0.8090227246284485
},
{
"start": 18,
"end": 31,
"text": "CodeRankEmbed",
"label": "benchmark name",
"score": 0.8959954977035522
},
{
"start": 368,
"end": 381,
"text": "Co... |
caiovicentino1/Qwopus-MoE-35B-A3B-PolarQuant-Q5 | caiovicentino1 | 2026-04-09T20:55:43Z | 906 | 2 | null | [
"safetensors",
"qwen3_5_moe",
"polarquant",
"compressed-tensors",
"int4",
"moe",
"mixture-of-experts",
"vllm",
"marlin",
"qwen3.5",
"text-generation",
"conversational",
"arxiv:2603.29078",
"base_model:samuelcardillo/Qwopus-MoE-35B-A3B",
"base_model:quantized:samuelcardillo/Qwopus-MoE-35B... | text-generation | 2026-04-06T21:47:58Z | # Qwopus-MoE-35B-A3B — PolarQuant INT4 CompressedTensors
> **35B Mixture-of-Experts quantized to INT4** — loads natively in vLLM with Marlin kernel. Zero plugins, zero custom code.
| Metric | INT4 CT | INT4 + LFRU Cache | BF16 Original |
|--------|---------|-------------------|---------... | [
{
"start": 2,
"end": 20,
"text": "Qwopus-MoE-35B-A3B",
"label": "benchmark name",
"score": 0.9128726720809937
},
{
"start": 98,
"end": 102,
"text": "INT4",
"label": "evaluation metric",
"score": 0.655595064163208
},
{
"start": 225,
"end": 229,
"text": "INT... |
ACE-Step/acestep-v15-base | ACE-Step | 2026-02-06T10:10:16Z | 4,508 | 54 | transformers | [
"transformers",
"safetensors",
"acestep",
"feature-extraction",
"audio",
"music",
"text2music",
"text-to-audio",
"custom_code",
"arxiv:2602.00744",
"license:mit",
"region:us"
] | text-to-audio | 2026-01-23T10:25:56Z | <h1 align="center">ACE-Step 1.5</h1>
<h1 align="center">Pushing the Boundaries of Open-Source Music Generation</h1>
<p align="center">
<a href="https://ace-step.github.io/ace-step-v1.5.github.io/">Project</a> |
<a href="https://huggingface.co/collections/ACE-Step/ace-step-15">Hugging Face</a> |
<a href="htt... | [] |
mradermacher/Quanta-X-3B-i1-GGUF | mradermacher | 2026-01-01T21:09:50Z | 250 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"trl",
"dora",
"simpo",
"phoenix-framework",
"logic",
"roleplay",
"chain-of-thought",
"merge",
"open-llm-leaderboard",
"en",
"dataset:magpie-align/Magpie-Reasoning-V2-250k-CoT-Deepseek-R1-Llama-70B",
"dataset:open-r1/OpenR1-Math-220k",
"dataset:glaive... | null | 2026-01-01T18:18:27Z | ## 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": 465,
"end": 476,
"text": "Quanta-X-3B",
"label": "benchmark name",
"score": 0.7108303904533386
},
{
"start": 613,
"end": 632,
"text": "Quanta-X-3B-i1-GGUF",
"label": "benchmark name",
"score": 0.7780550718307495
},
{
"start": 706,
"end": 722,
"t... |
smcleish/Recurrent-Llama-3.2-train-recurrence-32 | smcleish | 2025-11-11T13:15:15Z | 557 | 1 | transformers | [
"transformers",
"safetensors",
"huginn_raven",
"text-generation",
"causal-lm",
"custom_code",
"en",
"dataset:nvidia/Nemotron-CC-Math-v1",
"arxiv:2511.07384",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-11-08T18:53:23Z | # Recurrent-Llama-3.2-train-recurrence-32
Recurrent-Llama-3.2-train-recurrence-32 is part of the [Retrofitting Recurrence](https://hf.co/collections/tomg-group-umd/retrofitting-recurrence) set of models. A set of depth recurrent models trained by taking layers from pretrained feedforward language models ([link to paper... | [
{
"start": 42,
"end": 81,
"text": "Recurrent-Llama-3.2-train-recurrence-32",
"label": "benchmark name",
"score": 0.6524213552474976
}
] |
mradermacher/gpt-oss-nano-i1-GGUF | mradermacher | 2026-01-30T09:15:42Z | 3,823 | 2 | transformers | [
"transformers",
"gguf",
"gpt-oss",
"reasoning",
"moe",
"mixture-of-experts",
"chain-of-thought",
"unsloth",
"llama-cpp",
"en",
"base_model:squ11z1/gpt-oss-nano",
"base_model:quantized:squ11z1/gpt-oss-nano",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conver... | null | 2026-01-30T08:35:02Z | ## 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_... | [] |
tablegpt/TableGPT-R1 | tablegpt | 2025-12-24T03:10:21Z | 1,271 | 10 | null | [
"safetensors",
"qwen3",
"zh",
"en",
"arxiv:2512.20312",
"base_model:Qwen/Qwen3-8B",
"base_model:finetune:Qwen/Qwen3-8B",
"license:apache-2.0",
"region:us"
] | null | 2025-12-23T08:49:36Z | # TableGPT-R1
## Model details
We developed and released TableGPT-R1, a specialized large language model optimized for complex tabular reasoning and data analysis. Unlike traditional models that rely solely on Supervised Fine-Tuning (SFT), TableGPT-R1 is trained using a systematic Reinforcement Learning (RL) framewor... | [] |
Disty0/Qwen-Image-Layered-SDNQ-uint4-svd-r32 | Disty0 | 2025-12-22T23:15:27Z | 170 | 4 | diffusers | [
"diffusers",
"safetensors",
"sdnq",
"qwen_image",
"qwen_image_layered",
"4-bit",
"base_model:Qwen/Qwen-Image-Layered",
"base_model:quantized:Qwen/Qwen-Image-Layered",
"license:apache-2.0",
"diffusers:QwenImageLayeredPipeline",
"region:us"
] | image-to-image | 2025-12-22T22:23:01Z | 4 bit (UINT4 with SVD rank 32) quantization of [Qwen/Qwen-Image-Layered](https://huggingface.co/Qwen/Qwen-Image-Layered) using [SDNQ](https://github.com/Disty0/sdnq).
Usage:
```
pip install sdnq
```
```py
import torch
import diffusers
from PIL import Image
from sdnq import SDNQConfig # import sdnq to register it ... | [] |
thomasht86/voyage-4-nano-ONNX | thomasht86 | 2026-04-28T04:42:57Z | 3,234 | 4 | sentence-transformers | [
"sentence-transformers",
"onnx",
"qwen3",
"embeddings",
"vespa",
"feature-extraction",
"custom_code",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2026-01-16T09:57:18Z | # voyage-4-nano-ONNX
ONNX export of [voyageai/voyage-4-nano](https://huggingface.co/voyageai/voyage-4-nano) optimized for CPU inference with sentence-transformers and Vespa.
> **Note**: This is an ONNX-only model. Ignore the auto-generated snippet above - use the code below with `backend="onnx"`.
## Model Variants
... | [] |
CEIA-UFG/Gemma-3-Gaia-PT-BR-4b-it | CEIA-UFG | 2025-07-21T18:43:20Z | 1,444 | 150 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"conversational",
"pt",
"arxiv:2410.10739",
"base_model:google/gemma-3-4b-pt",
"base_model:finetune:google/gemma-3-4b-pt",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-05-25T01:33:32Z | # Model Card for GAIA (Gemma-3-Gaia-PT-BR-4b-it)
**GAIA** is an open, state-of-the-art language model for Brazilian Portuguese. It was developed by continuously pre-training the `google/gemma-3-4b-pt` model on an extensive, high-quality corpus of Portuguese data.
The goal of GAIA is to democratize access to cutting-e... | [] |
mradermacher/Qwen3.6-35B-A3B-Opus-Reasoning-i1-GGUF | mradermacher | 2026-04-21T10:40:57Z | 118 | 1 | transformers | [
"transformers",
"gguf",
"en",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-04-20T22:28:21Z | ## 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": 633,
"end": 671,
"text": "Qwen3.6-35B-A3B-Opus-Reasoning-i1-GGUF",
"label": "benchmark name",
"score": 0.63782799243927
}
] |
mradermacher/MiniMax-M2.7-abliterated-BF16-GGUF | mradermacher | 2026-04-30T14:47:19Z | 1,409 | 1 | transformers | [
"transformers",
"gguf",
"minimax",
"minimax_m2",
"moe",
"abliterated",
"heretic",
"ara",
"bf16",
"custom_code",
"text-generation",
"en",
"base_model:Youssofal/MiniMax-M2.7-abliterated-BF16",
"base_model:quantized:Youssofal/MiniMax-M2.7-abliterated-BF16",
"license:other",
"endpoints_com... | text-generation | 2026-04-29T12:06:10Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 528,
"end": 562,
"text": "MiniMax-M2.7-abliterated-BF16-GGUF",
"label": "benchmark name",
"score": 0.604185938835144
}
] |
bartowski/allura-org_Qwen3.6-35B-A3B-Anko-GGUF | bartowski | 2026-04-25T15:17:20Z | 3,870 | 2 | null | [
"gguf",
"text-generation",
"en",
"zh",
"base_model:allura-org/Qwen3.6-35B-A3B-Anko",
"base_model:quantized:allura-org/Qwen3.6-35B-A3B-Anko",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-04-21T17:45:30Z | ## Llamacpp imatrix Quantizations of Qwen3.6-35B-A3B-Anko by allura-org
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/b8860">b8860</a> for quantization.
Original model: https://huggingface.co/allura-org/Qwen3.6-35B-A3B-Anko
Al... | [] |
Dogacel/DeepSeek-OCR-Metal-MPS | Dogacel | 2025-12-24T00:14:09Z | 330 | 12 | transformers | [
"transformers",
"safetensors",
"deepseek_vl_v2",
"feature-extraction",
"deepseek",
"vision-language",
"ocr",
"custom_code",
"mps",
"cpu",
"metal",
"image-text-to-text",
"multilingual",
"base_model:deepseek-ai/DeepSeek-OCR",
"base_model:finetune:deepseek-ai/DeepSeek-OCR",
"license:mit",... | image-text-to-text | 2025-11-20T15:49:04Z | # DeepSeek-OCR – Apple Metal Performance Shaders (MPS) & CPU Support
This repository uses the weights from the original DeepSeek-OCR and modifies model to support MPS and CPU inference
- [Link to the original DeepSeek-OCR model](https://huggingface.co/deepseek-ai/DeepSeek-OCR).
- [Link to the original DeepSeek-OCR ... | [] |
deepseek-ai/DeepSeek-V4-Flash | deepseek-ai | 2026-04-27T06:52:01Z | 65,743 | 761 | transformers | [
"transformers",
"safetensors",
"deepseek_v4",
"text-generation",
"license:mit",
"eval-results",
"endpoints_compatible",
"8-bit",
"fp8",
"region:us"
] | text-generation | 2026-04-22T06:04:20Z | # DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" w... | [] |
mradermacher/Fara-7B-GGUF | mradermacher | 2025-11-25T21:13:00Z | 155 | 3 | transformers | [
"transformers",
"gguf",
"multimodal",
"en",
"base_model:microsoft/Fara-7B",
"base_model:quantized:microsoft/Fara-7B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-25T00:18:52Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 506,
"end": 518,
"text": "Fara-7B-GGUF",
"label": "benchmark name",
"score": 0.6240922808647156
}
] |
Raelina/Raehoshi-illust-XL-9 | Raelina | 2026-03-05T13:41:24Z | 143 | 2 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"stable-diffusion",
"anime",
"stable-diffusion-xl",
"en",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | 2026-03-05T13:10:56Z | <style>
body {
display: flex;
align-items: center;
justify-content: center;
height: 100vh;
margin: 0;
font-family: Arial, sans-serif;
background-color: #f4f4f9;
overflow: auto;
}
.container {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
width: 100%;
... | [] |
NamrataThakur/Small_Language_Model_MHA_53M_Pretrained | NamrataThakur | 2026-03-17T11:07:38Z | 504 | 1 | null | [
"pytorch",
"customGPT",
"multi-head-attention",
"small-language-model",
"pretrain",
"custom-model",
"slm",
"tiny-model",
"research",
"text-generation",
"en",
"dataset:roneneldan/TinyStories",
"arxiv:1910.09700",
"license:mit",
"region:us"
] | text-generation | 2026-02-24T15:37:28Z | *This repository demonstrates a small Multi-Head-Attention language model trained from scratch for educational and research purposes.*
# Stories-SLM 🤖
<!-- Provide a quick summary of what the model is/does. -->
This model is a part of a collection of Small Language Models pretrained from scratch on the Tiny Stories ... | [] |
google-t5/t5-small | google-t5 | 2023-06-30T02:31:26Z | 1,808,357 | 535 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"onnx",
"safetensors",
"t5",
"text2text-generation",
"summarization",
"translation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:c4",
"arxiv:1805.12471",
"arxiv:1708.00055",
"arxiv:1704.05426",
"arxiv:1606.05250",
"arxiv:... | translation | 2022-03-02T23:29:04Z | # Model Card for T5 Small
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. ... | [] |
OmniDimen/OmniDimen-v1.0-4B-Emotion-GGUF-fp16 | OmniDimen | 2025-09-30T03:36:13Z | 156 | 2 | null | [
"gguf",
"text-generation",
"zh",
"en",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-09-12T09:26:22Z | # OmniDimen-4B-Emotion
English | [中文](README_ZH.md)
This model is a fine-tuned version of **Qwen3-4B-Instruct-2507**, specialized for **emotion recognition and emotionally-aware text generation**.
We provide two weight formats:
- **fp16** (~8GB on disk)
- [q4_K_M quantized](https://huggingface.co/OmniDimen/Omn... | [] |
mradermacher/MiroThinker-v1.5-30B-heretic-i1-GGUF | mradermacher | 2026-01-16T06:10:18Z | 6,107 | 1 | transformers | [
"transformers",
"gguf",
"agent",
"open-source",
"miromind",
"deep-research",
"en",
"base_model:jarradh/MiroThinker-v1.5-30B-heretic",
"base_model:quantized:jarradh/MiroThinker-v1.5-30B-heretic",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-15T16:07:20Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
inclusionAI/Ring-mini-2.0 | inclusionAI | 2025-10-23T15:21:37Z | 1,103 | 181 | transformers | [
"transformers",
"safetensors",
"bailing_moe",
"text-generation",
"conversational",
"custom_code",
"arxiv:2510.18855",
"base_model:inclusionAI/Ling-mini-base-2.0-20T",
"base_model:finetune:inclusionAI/Ling-mini-base-2.0-20T",
"license:mit",
"region:us"
] | text-generation | 2025-09-08T14:45:03Z | # Ring-mini-2.0
<p align="center">
<img src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*4QxcQrBlTiAAAAAAQXAAAAgAemJ7AQ/original" width="100"/>
<p>
<p align="center">🤗 <a href="https://huggingface.co/inclusionAI">Hugging Face</a>   |   🤖 <a href="https://modelscope.cn/organization/inc... | [
{
"start": 1413,
"end": 1426,
"text": "LiveCodeBench",
"label": "benchmark name",
"score": 0.8798584938049316
},
{
"start": 1428,
"end": 1437,
"text": "AIME 2025",
"label": "benchmark name",
"score": 0.9171428084373474
},
{
"start": 1439,
"end": 1443,
"tex... |
mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-ST-TNG-IV-GGUF | mradermacher | 2025-10-30T01:13:42Z | 358 | 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 | 2025-10-29T11:22:47Z | ## 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/KatipGPT-Base-i1-GGUF | mradermacher | 2025-12-22T13:38:42Z | 108 | 1 | transformers | [
"transformers",
"gguf",
"Ottoman",
"en",
"dataset:BUCOLIN/OTC-Corpus",
"base_model:XyperAI/KatipGPT-Base",
"base_model:quantized:XyperAI/KatipGPT-Base",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-22T12:19:29Z | ## 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": 613,
"end": 634,
"text": "KatipGPT-Base-i1-GGUF",
"label": "benchmark name",
"score": 0.6444075703620911
}
] |
caiovicentino1/Gemma-4-26B-A4B-it-HLWQ-Q5 | caiovicentino1 | 2026-04-13T19:06:47Z | 286 | 5 | null | [
"safetensors",
"gemma4",
"hlwq",
"moe",
"quantized",
"vision",
"multimodal",
"image-text-to-text",
"conversational",
"arxiv:2502.02617",
"arxiv:2603.29078",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:quantized:google/gemma-4-26B-A4B-it",
"license:apache-2.0",
"8-bit",
"polaren... | image-text-to-text | 2026-04-03T12:58:18Z | > [!IMPORTANT]
> **Naming notice (2026-04-10).** The "HLWQ" technique used in this model is being rebranded to **HLWQ (Hadamard-Lloyd Weight Quantization)**. The change is only the name; the algorithm and the weights in this repository are unchanged.
>
> The rebrand resolves a name collision with an unrelated, earlier ... | [
{
"start": 113,
"end": 117,
"text": "HLWQ",
"label": "benchmark name",
"score": 0.6644737720489502
},
{
"start": 360,
"end": 364,
"text": "HLWQ",
"label": "benchmark name",
"score": 0.640095591545105
},
{
"start": 439,
"end": 443,
"text": "HLWQ",
"labe... |
CofeAI/Tele-FLM | CofeAI | 2026-01-10T10:36:30Z | 15,564 | 30 | transformers | [
"transformers",
"pytorch",
"TeleFLM",
"feature-extraction",
"custom_code",
"arxiv:2404.16645",
"license:apache-2.0",
"region:us"
] | feature-extraction | 2024-04-26T03:52:05Z | # Tele-FLM
Tele-FLM (aka FLM-2) is a 52B open-sourced multilingual large language model that features a stable, efficient pre-training paradigm and enhanced factual judgement capabilities.
Built upon the decoder-only transformer architecture, it has been trained on approximately 2T tokens.
Tele-FLM demonstrates superi... | [] |
nanonets/Nanonets-OCR-s | nanonets | 2025-06-20T19:15:33Z | 49,181 | 1,588 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"OCR",
"pdf2markdown",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-VL-3B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-3B-Instruct",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-06-10T10:02:05Z | Nanonets-OCR-s by [Nanonets](https://nanonets.com) is a powerful, state-of-the-art image-to-markdown OCR model that goes far beyond traditional text extraction. It transforms documents into structured markdown with intelligent content recognition and semantic tagging, making it ideal for downstream processing by Large ... | [] |
linyq/kiwi-edit-5b-instruct-reference-diffusers | linyq | 2026-03-05T05:53:05Z | 1,035 | 9 | diffusers | [
"diffusers",
"safetensors",
"image-to-video",
"arxiv:2603.02175",
"region:us"
] | image-to-video | 2026-02-26T07:35:01Z | # Kiwi-Edit: Versatile Video Editing via Instruction and Reference Guidance
Kiwi-Edit is a versatile video editing framework built on an MLLM encoder and a video Diffusion Transformer (DiT). It supports both instruction-based video editing and reference-guided editing (using a reference image and instruction).
- **Pa... | [] |
litert-community/Qwen2.5-1.5B-Instruct | litert-community | 2025-11-25T19:29:53Z | 30,483 | 36 | litert-lm | [
"litert-lm",
"tflite",
"chat",
"text-generation",
"base_model:Qwen/Qwen2.5-1.5B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-1.5B-Instruct",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-04-30T19:19:22Z | # litert-community/Qwen2.5-1.5B-Instruct
This model provides a few variants of
[Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) that are ready for
deployment on Android using the
[LiteRT (fka TFLite) stack](https://ai.google.dev/edge/litert),
[MediaPipe LLM Inference API](https://ai.goog... | [] |
Alibaba-NLP/GVE-7B | Alibaba-NLP | 2025-11-03T08:34:48Z | 201 | 18 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"feature-extraction",
"pytorch",
"video",
"retrieval",
"embedding",
"multimodal",
"qwen2.5-vl",
"sentence-similarity",
"custom_code",
"en",
"dataset:Alibaba-NLP/UVRB",
"dataset:Vividbot/vast-2m-vi",
"dataset:TempoFunk/webvid-10M",
"dataset... | sentence-similarity | 2025-10-31T09:13:54Z | # 🎯 General Video Embedder (GVE)
> **One Embedder for All Video Retrieval Scenarios**
> Queries of text, image, video, or any combination modalities — GVE understands them all for representations, zero-shot, without in-domain training.
GVE is the first video embedding model that **generalizes across 9 abilities, i... | [
{
"start": 527,
"end": 562,
"text": "Universal Video Retrieval Benchmark",
"label": "benchmark name",
"score": 0.8262231945991516
},
{
"start": 564,
"end": 568,
"text": "UVRB",
"label": "benchmark name",
"score": 0.842627763748169
},
{
"start": 696,
"end": 700... |
lerobot/pi0_libero_finetuned_v044 | lerobot | 2026-01-22T08:57:47Z | 11,567 | 6 | lerobot | [
"lerobot",
"safetensors",
"vision-language-action",
"imitation-learning",
"robotics",
"en",
"dataset:HuggingFaceVLA/libero",
"base_model:lerobot/pi0_libero_base",
"base_model:finetune:lerobot/pi0_libero_base",
"license:gemma",
"region:us"
] | robotics | 2025-10-02T00:01:44Z | # π₀ (Pi0) (LeRobot)
π₀ is a Vision-Language-Action (VLA) foundation model from Physical Intelligence that jointly reasons over vision, language, and actions to control robots, serving as the base architecture that later enabled π₀.₅’s open-world generalization.
Checkpoint trained and evaluated on LIBERO tasks.
**Or... | [] |
facebook/mms-tts-uig-script_arabic | facebook | 2023-09-01T10:15:09Z | 905 | 14 | transformers | [
"transformers",
"pytorch",
"safetensors",
"vits",
"text-to-audio",
"mms",
"text-to-speech",
"arxiv:2305.13516",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2023-09-01T10:14:47Z | ---
license: cc-by-nc-4.0
tags:
- mms
- vits
pipeline_tag: text-to-speech
---
# Massively Multilingual Speech (MMS): Uyghur Text-to-Speech
This repository contains the **Uyghur (uig-script_arabic)** language text-to-speech (TTS) model checkpoint.
This model is part of Facebook's [Massively Multilingual Speech](https... | [] |
unsloth/Qwen3-4B-Instruct-2507-FP8 | unsloth | 2025-11-20T14:43:34Z | 941 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"unsloth",
"conversational",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-4B-Instruct-2507-FP8",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507-FP8",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"fp8",
... | text-generation | 2025-11-20T14:43:19Z | <div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
<div style="display: flex; gap: 5px; align-items: center; ">
<a href="https://github.com/u... | [] |
nvidia/canary-1b-v2 | nvidia | 2025-12-03T22:23:42Z | 156,550 | 370 | nemo | [
"nemo",
"automatic-speech-recognition",
"automatic-speech-translation",
"speech",
"audio",
"Transformer",
"FastConformer",
"Conformer",
"pytorch",
"NeMo",
"hf-asr-leaderboard",
"bg",
"hr",
"cs",
"da",
"nl",
"en",
"et",
"fi",
"fr",
"de",
"el",
"hu",
"it",
"lv",
"lt",... | automatic-speech-recognition | 2025-08-04T13:34:41Z | ## <span style="color:#ffb300;">🐤 Canary 1B v2: Multitask Speech Transcription and Translation Model </span>
**``Canary-1b-v2``** is a powerful 1-billion parameter model built for high-quality speech transcription and translation across 25 European languages.
It excels at both automatic speech recognition (ASR) and... | [] |
mradermacher/Nanonets-OCR2-3B-GGUF | mradermacher | 2025-10-14T00:38:58Z | 761 | 14 | transformers | [
"transformers",
"gguf",
"OCR",
"image-to-text",
"pdf2markdown",
"VQA",
"multilingual",
"base_model:nanonets/Nanonets-OCR2-3B",
"base_model:quantized:nanonets/Nanonets-OCR2-3B",
"endpoints_compatible",
"region:us",
"conversational"
] | image-to-text | 2025-10-14T00:13:48Z | ## 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... | [] |
mradermacher/RefrigeratorAI-4B-v2-i1-GGUF | mradermacher | 2026-04-18T10:50:26Z | 1,733 | 1 | transformers | [
"transformers",
"gguf",
"ja",
"base_model:refrigerator-ai/RefrigeratorAI-4B-v2",
"base_model:quantized:refrigerator-ai/RefrigeratorAI-4B-v2",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-25T06:10:21Z | ## 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_... | [] |
zai-org/GLM-4.5 | zai-org | 2025-08-11T13:27:03Z | 62,615 | 1,397 | transformers | [
"transformers",
"safetensors",
"glm4_moe",
"text-generation",
"conversational",
"en",
"zh",
"arxiv:2508.06471",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-07-20T03:25:36Z | # GLM-4.5
<div align="center">
<img src=https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/logo.svg width="15%"/>
</div>
<p align="center">
👋 Join our <a href="https://discord.gg/QR7SARHRxK" target="_blank">Discord</a> community.
<br>
📖 Check out the GLM-4.5 <a href="https://z.ai... | [] |
mradermacher/gemma-3-4b-it-heretic-creative-GGUF | mradermacher | 2026-03-01T15:02:33Z | 1,081 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:DrRiceIO7/gemma-3-4b-it-heretic-creative",
"base_model:quantized:DrRiceIO7/gemma-3-4b-it-heretic-creative",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-01T06:55:52Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: 1 -->
static ... | [] |
UsefulSensors/moonshine-base | UsefulSensors | 2025-01-30T16:07:47Z | 78,886 | 41 | transformers | [
"transformers",
"safetensors",
"moonshine",
"automatic-speech-recognition",
"en",
"arxiv:2410.15608",
"arxiv:1810.03993",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | automatic-speech-recognition | 2024-11-02T04:42:00Z | # Moonshine
[[Blog]](https://petewarden.com/2024/10/21/introducing-moonshine-the-new-state-of-the-art-for-speech-to-text/) [[Paper]](https://arxiv.org/abs/2410.15608) [[Installation]](https://github.com/usefulsensors/moonshine/blob/main/README.md) [[Podcast]](https://notebooklm.google.com/notebook/d787d6c2-7d7b-478c-b... | [] |
ByteDance-Seed/UI-TARS-72B-DPO | ByteDance-Seed | 2025-01-25T15:07:01Z | 457 | 152 | transformers | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"multimodal",
"gui",
"conversational",
"en",
"arxiv:2501.12326",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-01-22T08:26:41Z | # UI-TARS-72B-DPO
[UI-TARS-2B-SFT](https://huggingface.co/bytedance-research/UI-TARS-2B-SFT) |
[UI-TARS-7B-SFT](https://huggingface.co/bytedance-research/UI-TARS-7B-SFT) |
[**UI-TARS-7B-DPO**](https://huggingface.co/bytedance-research/UI-TARS-7B-DPO)(Recommended) |
[UI-TARS-72B-SFT]... | [] |
mradermacher/qwen3.5-9b-null-space-abliterated-i1-GGUF | mradermacher | 2026-03-04T16:15:51Z | 4,604 | 2 | transformers | [
"transformers",
"gguf",
"qwen3",
"Qwen3.5",
"abliterated",
"uncensored",
"safetensors",
"en",
"base_model:jwest33/qwen3.5-9b-null-space-abliterated",
"base_model:quantized:jwest33/qwen3.5-9b-null-space-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"c... | null | 2026-03-04T15:46:27Z | ## 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_... | [] |
veriloop-lab/veriloop-coder-e1 | veriloop-lab | 2026-05-01T05:36:24Z | 2,731 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"code",
"coding-agent",
"software-engineering",
"harness-engineering",
"weight-agnostic",
"veriloop",
"text-generation",
"conversational",
"en",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-18T08:38:32Z | # VeriLoop Coder E1
**VeriLoop Coder E1** is a coding model program designed for real-world software engineering tasks, repository-scale problem solving, and benchmark-oriented code generation workflows.
Rather than being tied to a single fixed checkpoint, VeriLoop Coder E1 is built as a **weight-agnostic coding syst... | [] |
REPA-E/e2e-qwenimage-vae | REPA-E | 2025-10-22T13:16:58Z | 396 | 13 | diffusers | [
"diffusers",
"safetensors",
"image-to-image",
"arxiv:2504.10483",
"license:mit",
"region:us"
] | image-to-image | 2025-10-15T06:13:36Z | <h1 align="center">
🚀 REPA-E <em>for</em> T2I
</h1>
<p align="center">
<em>End-to-End Tuned VAEs for Supercharging Text-to-Image Diffusion Transformers</em>
</p>
<p align="center">
<a href="https://End2End-Diffusion.github.io/repa-e-t2i">🌐 Project Page</a>  
<a href="https://huggingface.co/REPA-E/model... | [] |
mistralai/Ministral-3-8B-Instruct-2512-GGUF | mistralai | 2026-01-15T11:18:05Z | 10,832 | 31 | vllm | [
"vllm",
"gguf",
"mistral-common",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"arxiv:2601.08584",
"base_model:mistralai/Ministral-3-8B-Instruct-2512",
"base_model:quantized:mistralai/Ministral-3-8B-Instruct-2512",
"license:apache-2.0",
"region:us",
"conver... | null | 2025-10-31T08:46:24Z | # Ministral 3 8B Instruct 2512 GGUF
A balanced model in the Ministral 3 family, **Ministral 3 8B** is a powerful, efficient tiny language model with vision capabilities.
This model includes different quantization levels of the instruct post-trained version in **GGUF**, fine-tuned for instruction tasks, making it idea... | [
{
"start": 264,
"end": 268,
"text": "GGUF",
"label": "benchmark name",
"score": 0.6059995293617249
}
] |
continuum-ai/qwen3.5-35b-a3b-compacted | continuum-ai | 2026-03-29T02:49:41Z | 948 | 2 | null | [
"safetensors",
"gguf",
"qwen3_5_moe",
"continuum",
"continuum:compacted",
"continuum:moe-pruned",
"continuum:expert-167-of-256",
"moe",
"expert-pruning",
"qwen",
"opus-distilled",
"local-inference",
"reasoning",
"text-generation",
"conversational",
"en",
"zh",
"base_model:Jackrong/... | text-generation | 2026-03-26T20:45:52Z | # Qwen3.5-35B-A3B Compacted (167/256 experts)
**MoE expert pruning: 67GB to 47GB BF16. Opus-distilled reasoning preserved.**
89 of 256 experts removed based on runtime activation profiling across coding, reasoning, UI design, and conversational prompts. 80% routing coverage retained. Chain-of-thought reasoning intact... | [] |
chetwinlow1/Ovi | chetwinlow1 | 2025-11-15T02:55:52Z | 309 | 291 | ovi | [
"ovi",
"safetensors",
"image-to-video",
"en",
"arxiv:2510.01284",
"base_model:Wan-AI/Wan2.2-TI2V-5B",
"base_model:finetune:Wan-AI/Wan2.2-TI2V-5B",
"license:apache-2.0",
"region:us"
] | image-to-video | 2025-09-30T02:41:36Z | <div align="center">
<h1> Ovi: Twin Backbone Cross-Modal Fusion for Audio-Video Generation </h1>
<a href="https://arxiv.org/abs/2510.01284"><img src="https://img.shields.io/badge/arXiv%20paper-2510.01284-b31b1b.svg"></a>
<a href="https://aaxwaz.github.io/Ovi/"><img src="https://img.shields.io/badge/Project_page-More_v... | [] |
artificialguybr/360Rotation-Redmond-WAN2-I2V-14B | artificialguybr | 2025-12-12T03:24:21Z | 228 | 2 | diffusers | [
"diffusers",
"lora",
"wan",
"image-to-video",
"360-rotation",
"spinning",
"turntable",
"product-view",
"special-effects",
"template:diffusion-lora",
"base_model:Wan-AI/Wan2.2-I2V-A14B",
"base_model:adapter:Wan-AI/Wan2.2-I2V-A14B",
"license:cc0-1.0",
"region:us"
] | image-to-video | 2025-12-12T03:21:33Z | # **360 Rotation LoRA for Wan I2V**
<Gallery />
---
> **Special Thanks:**
> This project was made possible thanks to generous sponsorship and GPU time provided by [reDMOND Ai](https://redmond.ai ).
> We are grateful for their support in training this LoRA.
---
## Model Description
This LoRA specializes in cre... | [] |
BugTraceAI/BugTraceAI-Apex-G4-26B-Q4 | BugTraceAI | 2026-04-15T11:06:05Z | 15,742 | 28 | null | [
"gguf",
"security",
"cybersecurity",
"offensive-security",
"dpo",
"gemma",
"gemma-4",
"p0g",
"exploit-development",
"malware-research",
"thinking",
"chain-of-thought",
"en",
"es",
"base_model:TrevorJS/gemma-4-26B-A4B-it-uncensored",
"base_model:quantized:TrevorJS/gemma-4-26B-A4B-it-unc... | null | 2026-04-10T15:15:55Z | # 🌋 BugTraceAI-CORE-G4-Apex (26B MoE)
**The Apex Predator of Offensive Security Reasoning.**
BugTraceAI-CORE-G4-Apex is a high-performance, uncensored 26B Mixture-of-Experts (MoE) model based on Gemma 4 architecture. It has been meticulously fine-tuned via **DPO (Direct Preference Optimization)** on a curated "Super... | [
{
"start": 4,
"end": 27,
"text": "BugTraceAI-CORE-G4-Apex",
"label": "benchmark name",
"score": 0.6150153875350952
},
{
"start": 95,
"end": 118,
"text": "BugTraceAI-CORE-G4-Apex",
"label": "benchmark name",
"score": 0.6174655556678772
}
] |
coder3101/Qwen2.5-VL-7B-Instruct-heretic | coder3101 | 2026-01-17T18:04:14Z | 247 | 1 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"multimodal",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"en",
"arxiv:2309.00071",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen... | image-text-to-text | 2026-01-17T15:37:17Z | # This is a decensored version of [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct), made using [Heretic](https://github.com/p-e-w/heretic) v1.1.0
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 17.96 |
| **attn.o_proj.max_weight** | 1.12 ... | [
{
"start": 326,
"end": 357,
"text": "attn.o_proj.max_weight_position",
"label": "evaluation metric",
"score": 0.6197944283485413
},
{
"start": 412,
"end": 443,
"text": "attn.o_proj.min_weight_distance",
"label": "evaluation metric",
"score": 0.6134997606277466
},
{
... |
RedHatAI/Qwen3.5-122B-A10B-NVFP4 | RedHatAI | 2026-04-03T14:02:47Z | 43,313 | 14 | null | [
"safetensors",
"qwen3_5_moe",
"qwen",
"nvfp4",
"vllm",
"compressed-tensors",
"base_model:Qwen/Qwen3.5-122B-A10B",
"base_model:quantized:Qwen/Qwen3.5-122B-A10B",
"8-bit",
"region:us"
] | null | 2026-03-17T03:14:04Z | <h1 align: center; style="display: flex; align-items: center; gap: 10px; margin: 0;">
Qwen3.5-122B-A10B-NVFP4
<img src="https://www.redhat.com/rhdc/managed-files/Catalog-Validated_model_0.png" alt="Model Icon" width="40" style="margin: 0; padding: 0;" />
</h1>
<a href="https://www.redhat.com/en/products/ai/validate... | [] |
mradermacher/DeepSeek-R1-Distill-Qwen-32B-abliterated-GGUF | mradermacher | 2025-01-24T02:09:29Z | 163 | 6 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated",
"base_model:quantized:huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-01-23T15:25:31Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
static quants of https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated
<!-- provided-files -->
weighted/imatrix quants are available... | [] |
mradermacher/Mistral-7B-Instruct-SPPO-Iter2-i1-GGUF | mradermacher | 2025-12-10T22:50:18Z | 1,018 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Williampixel/Mistral-7B-Instruct-SPPO-Iter2",
"base_model:quantized:Williampixel/Mistral-7B-Instruct-SPPO-Iter2",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-10T19:53:41Z | ## 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": 635,
"end": 673,
"text": "Mistral-7B-Instruct-SPPO-Iter2-i1-GGUF",
"label": "benchmark name",
"score": 0.6042895317077637
}
] |
mradermacher/InternVL3-78B-GGUF | mradermacher | 2025-08-01T06:53:32Z | 128 | 2 | transformers | [
"transformers",
"gguf",
"internvl",
"custom_code",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"base_model:OpenGVLab/InternVL3-78B",
"base_model:quantized:OpenGVLab/InternVL3-78B",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-05-13T11:35:53Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/OpenGVLab/InternVL3-78B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page f... | [] |
TheBloke/dolphin-2.6-mistral-7B-dpo-laser-GGUF | TheBloke | 2024-01-09T23:58:12Z | 1,312 | 42 | transformers | [
"transformers",
"gguf",
"mistral",
"en",
"dataset:ehartford/dolphin",
"dataset:jondurbin/airoboros-2.2.1",
"dataset:ehartford/dolphin-coder",
"dataset:teknium/openhermes",
"dataset:ise-uiuc/Magicoder-OSS-Instruct-75K",
"dataset:ise-uiuc/Magicoder-Evol-Instruct-110K",
"dataset:LDJnr/Capybara",
... | null | 2024-01-09T23:53:08Z | <!-- markdownlint-disable MD041 -->
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content:... | [] |
RefalMachine/RuadaptQwen3-8B-Hybrid-GGUF | RefalMachine | 2025-08-26T11:10:48Z | 306 | 5 | null | [
"gguf",
"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:quantized:Qwen/Qwen3-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversatio... | null | 2025-08-26T10:49:35Z | <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"><b>Hf ver</b>🚀</a>
</p>
<hr>
# RU
## Описание модели
GGUF **Ruadapt** версия модели **Qwen/Qwen3-8B** c **гибридным ризонингом**. В модели был заме... | [] |
mradermacher/Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v1-GGUF | mradermacher | 2025-08-10T11:00:18Z | 117 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v1",
"base_model:quantized:Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v1",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-10T10:16:55Z | ## 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... | [] |
dx8152/Qwen-Image-Edit-2509-Relight | dx8152 | 2025-11-12T09:18:08Z | 5,684 | 213 | diffusers | [
"diffusers",
"qwen-edit",
"comfyui",
"lora",
"re-light",
"kontext",
"image-to-image",
"base_model:Qwen/Qwen-Image-Edit-2509",
"base_model:adapter:Qwen/Qwen-Image-Edit-2509",
"license:apache-2.0",
"region:us"
] | image-to-image | 2025-10-23T02:57:31Z | Hi everyone overseas! ModelScope has launched its training service abroad.
My LoRa training is all done using ModelScope. Thanks to the ModelScope team for providing the training infrastructure. Give it a try!
https://www.modelscope.cn/aigc/modelTraining
-------
Welcome everyone to use Lora of Qwen-Edit-2509 of Imag... | [] |
amd/gpt-oss-120b-w-mxfp4-a-fp8 | amd | 2026-01-23T16:57:44Z | 5,282 | 7 | null | [
"safetensors",
"gpt_oss",
"base_model:openai/gpt-oss-120b",
"base_model:quantized:openai/gpt-oss-120b",
"license:apache-2.0",
"quark",
"region:us"
] | null | 2025-09-16T12:07:58Z | # Model Overview
- **Model Architecture:** gpt-oss-120b
- **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://quark.... | [] |
baa-ai/Qwen3.6-27B-RAM-28GB-MLX | baa-ai | 2026-04-27T04:59:48Z | 558 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"quantized",
"mixed-precision",
"qwen",
"qwen3",
"text-generation",
"conversational",
"en",
"base_model:Qwen/Qwen3.6-27B",
"base_model:quantized:Qwen/Qwen3.6-27B",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2026-04-23T10:20:40Z | # Qwen3.6-27B — 28GB (MLX)
Mixed-precision MLX build of [Qwen/Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B), prepared by [baa.ai](https://baa.ai).
Built at the predicted global (quality max) operating point.
## Metrics
| Metric | Value |
|---|---|
| **In-memory footprint** | **~28 GiB** |
| Size on disk | 2... | [
{
"start": 431,
"end": 447,
"text": "Qwen/Qwen3.6-27B",
"label": "benchmark name",
"score": 0.6440597772598267
},
{
"start": 805,
"end": 822,
"text": "GPQA Diamond 198Q",
"label": "benchmark name",
"score": 0.7267921566963196
},
{
"start": 843,
"end": 865,
... |
nuigurumi/basil_mix | nuigurumi | 2023-05-16T09:42:46Z | 888 | 983 | diffusers | [
"diffusers",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | 2023-01-04T07:45:22Z | ## Model Description
- merged model.
- realistic texture and Asian face.
- designed to maintain a responsive reaction to danbooru based prompts.
## License
- This model and its derivatives(image, merged model) can be freely used for non-profit purposes only.
- You may not use this model and its derivatives on webs... | [] |
arcee-ai/Trinity-Mini-W4A16 | arcee-ai | 2026-03-20T23:42:52Z | 233 | 3 | transformers | [
"transformers",
"safetensors",
"afmoe",
"text-generation",
"conversational",
"custom_code",
"en",
"es",
"fr",
"de",
"it",
"pt",
"ru",
"ar",
"hi",
"ko",
"zh",
"base_model:arcee-ai/Trinity-Mini",
"base_model:quantized:arcee-ai/Trinity-Mini",
"license:apache-2.0",
"endpoints_com... | text-generation | 2026-03-06T20:17:46Z | <div align="center">
<picture>
<img
src="https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/i-v1KyAMOW_mgVGeic9WJ.png"
alt="Arcee Trinity Mini"
style="max-width: 100%; height: auto;"
>
</picture>
</div>
# Trinity Mini W4A16
**This repository contains the W4A16... | [
{
"start": 1364,
"end": 1380,
"text": "AfmoeForCausalLM",
"label": "benchmark name",
"score": 0.6175813674926758
}
] |
batiai/Qwen3.6-27B-GGUF | batiai | 2026-05-04T17:00:37Z | 5,393 | 1 | llama.cpp | [
"llama.cpp",
"gguf",
"qwen",
"qwen3.6",
"dense",
"quantized",
"imatrix",
"apple-silicon",
"ollama",
"batiai",
"on-device",
"agentic",
"coding",
"multimodal",
"text-generation",
"en",
"ko",
"ja",
"zh",
"base_model:Qwen/Qwen3.6-27B",
"base_model:quantized:Qwen/Qwen3.6-27B",
"... | text-generation | 2026-04-23T07:44:40Z | # Qwen 3.6 27B GGUF — Quantized by BatiAI
<p align="center">
<a href="https://flow.bati.ai"><img src="https://img.shields.io/badge/BatiFlow-macOS%20AI%20Automation-blue?style=for-the-badge&logo=apple" alt="BatiFlow"></a>
<a href="https://ollama.com/batiai/qwen3.6-27b"><img src="https://img.shields.io/badge/Ollama-... | [] |
LGAI-EXAONE/EXAONE-4.0.1-32B | LGAI-EXAONE | 2025-08-04T02:19:21Z | 82,117 | 26 | transformers | [
"transformers",
"safetensors",
"exaone4",
"text-generation",
"lg-ai",
"exaone",
"exaone-4.0",
"conversational",
"en",
"ko",
"es",
"arxiv:2507.11407",
"base_model:LGAI-EXAONE/EXAONE-4.0-32B",
"base_model:finetune:LGAI-EXAONE/EXAONE-4.0-32B",
"license:other",
"endpoints_compatible",
"r... | text-generation | 2025-07-29T07:32:29Z | <p align="center">
<img src="assets/EXAONE_Symbol+BI_3d.png", width="300", style="margin: 40 auto;">
✈️ Try on <a href="https://friendli.ai/suite/~/serverless-endpoints/LGAI-EXAONE/EXAONE-4.0-32B/overview">FriendliAI</a> (licensed under commercial purposes)
<br><br><i>📢 EXAONE 4.0 is officially supported by HuggingFac... | [] |
FluidInference/parakeet-tdt-0.6b-v3-coreml | FluidInference | 2026-04-30T03:49:10Z | 485,429 | 41 | nemo | [
"nemo",
"coreml",
"automatic-speech-recognition",
"speech",
"audio",
"Transducer",
"TDT",
"FastConformer",
"Conformer",
"pytorch",
"NeMo",
"hf-asr-leaderboard",
"en",
"es",
"fr",
"de",
"bg",
"hr",
"cs",
"da",
"nl",
"et",
"fi",
"el",
"hu",
"it",
"lv",
"lt",
"mt... | automatic-speech-recognition | 2025-08-17T17:20:34Z | # **<span style="color:#5DAF8D"> 🧃 parakeet-tdt-0.6b-v3: Multilingual Speech-to-Text Model CoreML </span>**
<style>
img {
display: inline;
}
</style>
[](#model-architecture)
| [![Model size](https://img.shields.io/badg... | [] |
mradermacher/Maesar-8B-i1-GGUF | mradermacher | 2025-12-07T05:22:02Z | 214 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:abhishekchohan/Maesar-8B",
"base_model:quantized:abhishekchohan/Maesar-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-19T10:56:16Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 616,
"end": 633,
"text": "Maesar-8B-i1-GGUF",
"label": "benchmark name",
"score": 0.7610014081001282
},
{
"start": 1182,
"end": 1199,
"text": "Maesar-8B-i1-GGUF",
"label": "benchmark name",
"score": 0.7492327690124512
},
{
"start": 1213,
"end": 1222... |
nvidia/nemocurator-fineweb-mixtral-edu-classifier | nvidia | 2025-09-22T21:01:40Z | 855 | 7 | null | [
"safetensors",
"bert",
"arxiv:2406.17557",
"arxiv:2412.02595",
"arxiv:2405.05374",
"license:other",
"region:us"
] | null | 2025-02-07T18:09:00Z | # NemoCurator FineWeb Mixtral Edu Classifier
## Model Overview
This is a text classification model designed to determine the educational value of a piece of text (score 0-5 from low to high). It is similar to the [FineWeb-Edu classifier](https://arxiv.org/abs/2406.17557) and was trained on the same text samples, but u... | [] |
bytedance-research/ChatTS-8B | bytedance-research | 2025-12-29T09:00:25Z | 3,475 | 8 | transformers | [
"transformers",
"pytorch",
"qwen3ts",
"feature-extraction",
"text-generation",
"conversational",
"custom_code",
"eng",
"zh",
"dataset:ChatTSRepo/ChatTS-Training-Dataset",
"arxiv:2412.03104",
"base_model:Qwen/Qwen3-8B",
"base_model:finetune:Qwen/Qwen3-8B",
"license:apache-2.0",
"region:us... | text-generation | 2025-11-03T07:36:00Z | # [VLDB' 25] ChatTS-8B-1103 Model
<div style="display:flex;justify-content: center">
<a href="https://github.com/NetmanAIOps/ChatTS"><img alt="github" src="https://img.shields.io/badge/Code-GitHub-blue"></a>
<a href="https://arxiv.org/abs/2412.03104"><img alt="preprint" src="https://img.shields.io/static/v1?label=arXi... | [] |
mtasin223/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive | mtasin223 | 2026-03-08T20:58:32Z | 664 | 1 | null | [
"gguf",
"uncensored",
"qwen3.5",
"qwen",
"en",
"zh",
"multilingual",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-08T20:58:32Z | # Qwen3.5-9B-Uncensored-HauhauCS-Aggressive
Qwen3.5-9B uncensored by HauhauCS.
## About
**0/465 refusals.** Fully uncensored with zero capability loss.
No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals.
These are meant to be the best lo... | [] |
bartowski/Qwen2.5-7B-Instruct-GGUF | bartowski | 2024-09-19T12:54:25Z | 109,959 | 49 | null | [
"gguf",
"chat",
"text-generation",
"en",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-7B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-09-16T14:13:33Z | ## Llamacpp imatrix Quantizations of Qwen2.5-7B-Instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3772">b3772</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen2.5-7B-Instruct
All quants made using ... | [] |
prithivMLmods/Qwen3-VL-2B-Instruct-abliterated-v1-GGUF | prithivMLmods | 2025-12-15T15:54:44Z | 571 | 1 | transformers | [
"transformers",
"gguf",
"qwen3_vl",
"text-generation-inference",
"llama.cpp",
"abliterated",
"image-text-to-text",
"en",
"base_model:prithivMLmods/Qwen3-VL-2B-Instruct-abliterated-v1",
"base_model:quantized:prithivMLmods/Qwen3-VL-2B-Instruct-abliterated-v1",
"license:apache-2.0",
"endpoints_co... | image-text-to-text | 2025-12-15T15:22:38Z | # **Qwen3-VL-2B-Instruct-abliterated-v1-GGUF**
> The Qwen3-VL-2B-Instruct-abliterated-v1 from prithivMLmods is a 2B-parameter vision-language model variant of Alibaba's Qwen3-VL-2B-Instruct, modified through abliteration (v1.0) to remove safety refusals and content filters, enabling uncensored, detailed captioning and... | [] |
LocalAI-io/LocalVQE | LocalAI-io | 2026-05-04T08:58:38Z | 213 | 5 | pytorch | [
"pytorch",
"gguf",
"audio-to-audio",
"speech-enhancement",
"acoustic-echo-cancellation",
"noise-suppression",
"ggml",
"arxiv:2306.03177",
"license:apache-2.0",
"region:us"
] | audio-to-audio | 2026-04-17T15:14:52Z | # LocalVQE
[](https://huggingface.co/spaces/LocalAI-io/LocalVQE-demo)
[](https://github.com/LocalAI-io/LocalVQE)
[![License:... | [] |
SleepVeryHard/ToriiGate-0.5_GGUF | SleepVeryHard | 2026-04-11T10:48:15Z | 15,262 | 1 | null | [
"gguf",
"multimodal",
"vision",
"image-text-to-text",
"conversational",
"en",
"base_model:Minthy/ToriiGate-0.5",
"base_model:quantized:Minthy/ToriiGate-0.5",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-04-09T08:18:33Z | [Quants of ToriiGate-0.5](https://huggingface.co/Minthy/ToriiGate-0.5)
`--token-embedding-type` and `--output-tensor-type` are in `Q8_0` in the quants containing `K_L`.
`-imat` quants use an imatrix made with the prompt trained and a few caption generated by myself with those prompts.
The `tokenizer.chat_template` gg... | [] |
ethanzhrepo/cryptoner-xlm-roberta | ethanzhrepo | 2026-02-19T06:04:32Z | 124 | 1 | null | [
"safetensors",
"xlm-roberta",
"token-classification",
"ner",
"crypto",
"finance",
"en",
"zh",
"base_model:FacebookAI/xlm-roberta-base",
"base_model:finetune:FacebookAI/xlm-roberta-base",
"license:apache-2.0",
"region:us"
] | token-classification | 2026-02-13T05:24:21Z | # CryptoNER — XLM-RoBERTa
A multilingual (English + Chinese) named entity recognition model fine-tuned on crypto/finance news. Recognizes 5 entity types relevant to the blockchain and digital asset space.
## Labels
| Label | Description | Examples |
|-------|-------------|---------|
| `EXCHANGE` | Centralized crypto... | [
{
"start": 1086,
"end": 1099,
"text": "Learning rate",
"label": "evaluation metric",
"score": 0.6309939622879028
}
] |
heretic-org/XortronCriminalComputingConfig-heretic | heretic-org | 2026-02-16T06:43:32Z | 101 | 7 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"uncensored",
"harmful",
"heretic",
"decensored",
"abliterated",
"conversational",
"en",
"base_model:TroyDoesAI/BlackSheep-24B",
"base_model:merge:TroyDoesAI/BlackSheep-24B",
"base_model:darkc0de/XortronC... | text-generation | 2026-02-16T06:43:32Z | # This is a decensored version of [darkc0de/XortronCriminalComputingConfig](https://huggingface.co/darkc0de/XortronCriminalComputingConfig), made using [Heretic](https://github.com/p-e-w/heretic) v1.1.0
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 21.70 |
| **attn.o_p... | [
{
"start": 350,
"end": 381,
"text": "attn.o_proj.max_weight_position",
"label": "evaluation metric",
"score": 0.7285637259483337
},
{
"start": 398,
"end": 420,
"text": "attn.o_proj.min_weight",
"label": "evaluation metric",
"score": 0.6599189043045044
},
{
"start"... |
mudler/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled-APEX-GGUF | mudler | 2026-04-27T14:00:32Z | 12,135 | 3 | null | [
"gguf",
"quantized",
"apex",
"moe",
"mixture-of-experts",
"qwen3",
"reasoning",
"distilled",
"claude-opus",
"base_model:hesamation/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled",
"base_model:quantized:hesamation/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled",
"license:apache-2.0",
... | null | 2026-04-22T12:17:35Z | <!-- 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-3-12b-it-orthogonal-reflection-bounded-ablation-v3-12B-i1-GGUF | mradermacher | 2026-03-19T09:15:20Z | 2,645 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:grimjim/gemma-3-12b-it-orthogonal-reflection-bounded-ablation-v3-12B",
"base_model:quantized:grimjim/gemma-3-12b-it-orthogonal-reflection-bounded-ablation-v3-12B",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-19T07:33:55Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/Qwen3.5-122B-A10B-i1-GGUF | mradermacher | 2026-02-27T18:57:02Z | 25,519 | 3 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Qwen/Qwen3.5-122B-A10B",
"base_model:quantized:Qwen/Qwen3.5-122B-A10B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-27T09:28:54Z | ## 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_... | [
{
"start": 614,
"end": 639,
"text": "Qwen3.5-122B-A10B-i1-GGUF",
"label": "benchmark name",
"score": 0.656120777130127
}
] |
jingyaogong/MiniMind2 | jingyaogong | 2025-12-12T12:51:17Z | 800 | 89 | null | [
"safetensors",
"llama",
"arxiv:2405.04434",
"arxiv:2402.14905",
"arxiv:2401.04088",
"region:us"
] | null | 2025-02-09T15:20:27Z | <div align="center">
</div>
<div align="center">
[](https://github.com/jingyaogong/minimind/stargazers)
[![GitHub Code... | [] |
HauhauCS/Qwen3.5-122B-A10B-Uncensored-HauhauCS-Aggressive | HauhauCS | 2026-04-05T19:00:44Z | 117,916 | 91 | null | [
"gguf",
"uncensored",
"qwen3.5",
"moe",
"vision",
"multimodal",
"image-text-to-text",
"en",
"zh",
"multilingual",
"base_model:Qwen/Qwen3.5-122B-A10B",
"base_model:quantized:Qwen/Qwen3.5-122B-A10B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"... | image-text-to-text | 2026-03-22T02:21:43Z | # Qwen3.5-122B-A10B-Uncensored-HauhauCS-Aggressive
> **[Join the Discord](https://discord.gg/SZ5vacTXYf)** for updates, roadmaps, projects, or just to chat.
Qwen3.5-122B-A10B uncensored by HauhauCS. **0/465 refusals.**
## About
No changes to datasets or capabilities. Fully functional, 100% of what the original auth... | [] |
mradermacher/MT-Gen4_gemma-3-12B-i1-GGUF | mradermacher | 2026-01-20T12:25:05Z | 149 | 1 | transformers | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"zelk12/MT-Gen4_gemma-3-12B_flatten",
"zelk12/26_05_2025_Test_LazyMergekit_gemma-3-12B",
"zelk12/MT4-gemma-3-12B",
"en",
"base_model:zelk12/MT-Gen4_gemma-3-12B",
"base_model:quantized:zelk12/MT-Gen4_gemma-3-12B",
"license:gemma",
"... | null | 2026-01-20T11:22:35Z | ## 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": 462,
"end": 481,
"text": "MT-Gen4_gemma-3-12B",
"label": "benchmark name",
"score": 0.6715013980865479
},
{
"start": 618,
"end": 645,
"text": "MT-Gen4_gemma-3-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.8015773296356201
},
{
"start": 719,
"e... |
onnx-community/LFM2-VL-450M-ONNX | onnx-community | 2026-03-12T04:35:19Z | 3,702 | 5 | null | [
"onnx",
"lfm2_vl",
"liquid",
"lfm2",
"lfm2-vl",
"edge",
"image-text-to-text",
"conversational",
"en",
"arxiv:2511.23404",
"base_model:LiquidAI/LFM2-VL-450M",
"base_model:quantized:LiquidAI/LFM2-VL-450M",
"license:other",
"region:us"
] | image-text-to-text | 2025-12-29T03:52:11Z | <center>
<div style="text-align: center;">
<img
src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png"
alt="Liquid AI"
style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
/>
</div>
<... | [] |
agentscope-ai/QwenPaw-Flash-4B-Q4_K_M | agentscope-ai | 2026-04-09T11:46:52Z | 1,231 | 3 | null | [
"gguf",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-30T14:15:44Z | # QwenPaw-Flash
**QwenPaw-Flash** is a lightweight model deeply optimized for the QwenPaw autonomous agent scenario. Since its training phase, the model has been specifically refined for QwenPaw tasks, delivering enhanced agentic performance in tool invocation, command execution, memory management, and multi-step plann... | [] |
GetSoloTech/Qwen3-Code-Reasoning-4B-GGUF | GetSoloTech | 2025-08-25T07:11:37Z | 494 | 8 | null | [
"gguf",
"coding",
"reasoning",
"problem-solving",
"algorithms",
"python",
"c++",
"text-generation",
"en",
"dataset:GetSoloTech/Code-Reasoning",
"base_model:GetSoloTech/Qwen3-Code-Reasoning-4B",
"base_model:quantized:GetSoloTech/Qwen3-Code-Reasoning-4B",
"license:apache-2.0",
"endpoints_com... | text-generation | 2025-08-22T22:32:20Z | # GetSoloTech/Qwen3-Code-Reasoning-4B-GGUF
This is the GGUF quantized version of the [Qwen3-Code-Reasoning-4B](https://huggingface.co/GetSoloTech/Qwen3-Code-Reasoning-4B) model, specifically optimized for competitive programming and code reasoning tasks. This model has been trained on the high-quality Code-Reasoning d... | [] |
Owen777/Kontext-Style-Loras | Owen777 | 2025-07-26T09:47:28Z | 2,374 | 128 | diffusers | [
"diffusers",
"Style",
"Ghibli",
"FluxKontext",
"Image-to-Image",
"image-to-image",
"en",
"base_model:black-forest-labs/FLUX.1-Kontext-dev",
"base_model:finetune:black-forest-labs/FLUX.1-Kontext-dev",
"region:us"
] | image-to-image | 2025-07-04T06:54:56Z | # Style LoRAs for FLUX.1 Kontext Model
This repository provides a collection of 20+ style LoRA adapters for the FLUX.1 Kontext Model, enabling a wide range of artistic and cartoon styles for high-quality image-to-image generation.
These LoRAs are trained on high-quality paired data generated by GPT-4o.
**Srouce train... | [] |
Writer/palmyra-base | Writer | 2024-12-24T06:01:28Z | 880 | 46 | transformers | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"text generation",
"causal-lm",
"Writer-data",
"gpt",
"NeMo",
"palmyra",
"en",
"dataset:English",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2023-02-03T13:13:20Z | **DEPRECATED MODEL NOTICE**
==========================
Please note that this model is no longer maintained or supported by our team. We strongly advise against using it in production or for any critical applications.
Instead, we recommend using our latest and greatest models, which can be found at:
https://huggingfa... | [] |
allenai/Olmo-3-7B-RL-Zero-Math | allenai | 2026-02-14T02:23:06Z | 1,479 | 10 | transformers | [
"transformers",
"safetensors",
"olmo3",
"text-generation",
"conversational",
"en",
"dataset:allenai/Dolci-RLZero-Math-7B",
"arxiv:2512.13961",
"base_model:allenai/Olmo-3-1025-7B",
"base_model:finetune:allenai/Olmo-3-1025-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-11-17T17:36:01Z | ## Model Details
<img alt="Logo for Olmo 3 7B Zero model" src="olmo-rl-zero.png" width="268px" style="margin-left:'auto' margin-right:'auto' display:'block'">
# Model Card for Olmo 3 7B RL-Zero Math
We introduce Olmo 3, a new family of 7B and 32B models both Instruct and Think variants. Long chain-of-thought thinkin... | [] |
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