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 |
|---|---|---|---|---|---|---|---|---|---|---|
huawei-csl/Qwen3-1.7B-PreSINQ-GGUF | huawei-csl | 2026-02-10T13:42:25Z | 179 | 3 | transformers | [
"transformers",
"gguf",
"quantized",
"sinq",
"efficient-inference",
"qwen",
"llm",
"compression",
"text-generation",
"en",
"arxiv:2509.22944",
"base_model:Qwen/Qwen3-1.7B",
"base_model:quantized:Qwen/Qwen3-1.7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversatio... | text-generation | 2026-02-09T13:19:17Z | <p align="center">
<img src="SINQ_GGUF_HF.png" alt="Logo" style="max-width: 80%; height: auto;">
</p>
<p align="center">🐙 <a href="https://github.com/huawei-csl/SINQ">Github</a> | 📄 <a href="http://arxiv.org/abs/2509.22944">Paper</a></p>
# PreSINQ GGUF Quantized Qwen3-1.7B Model
This rep... | [] |
tiny-random/glm-4.6v | tiny-random | 2025-12-16T08:49:14Z | 374 | 1 | transformers | [
"transformers",
"safetensors",
"glm4v_moe",
"image-text-to-text",
"conversational",
"base_model:zai-org/GLM-4.6V",
"base_model:finetune:zai-org/GLM-4.6V",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-12-16T08:49:11Z | This tiny model is intended for debugging. It is randomly initialized using the configuration adapted from [zai-org/GLM-4.6V](https://huggingface.co/zai-org/GLM-4.6V).
### Example usage:
```python
import torch
from transformers import AutoProcessor, Glm4vMoeForConditionalGeneration
model_id = "tiny-random/glm-4.6v"
... | [] |
mradermacher/gpt-oss-120b-Guardpoint-i1-GGUF | mradermacher | 2026-01-29T13:49:21Z | 441 | 2 | transformers | [
"transformers",
"gguf",
"guardpoint",
"valiant",
"valiant-labs",
"gpt",
"gpt-oss",
"gpt-oss-120b",
"openai",
"120b",
"reasoning",
"science",
"science-reasoning",
"medicine",
"internal-medicine",
"clinical-diagnosis",
"medical-understanding",
"medical-reasoning",
"medical-diagnosi... | null | 2026-01-29T07:45:42Z | ## 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_... | [] |
ChenkinRF/ChenkinNoob-XL-v0.2-Rectified-Flow | ChenkinRF | 2026-02-04T16:16:55Z | 962 | 34 | diffusers | [
"diffusers",
"base_model:ChenkinNoob/ChenkinNoob-XL-V0.2",
"base_model:finetune:ChenkinNoob/ChenkinNoob-XL-V0.2",
"license:other",
"region:us"
] | null | 2026-02-02T20:20:46Z | 
### Model Description
A conversion to rectified flow of the [Chenkin 0.2](https://huggingface.co/ChenkinNoob/ChenkinNoob-XL-V0.2)
For main model description please refer to this [model repo](https://h... | [] |
apple/aimv2-huge-patch14-448 | apple | 2025-07-08T16:25:38Z | 116 | 6 | transformers | [
"transformers",
"jax",
"safetensors",
"aimv2_vision_model",
"image-feature-extraction",
"vision",
"mlx",
"pytorch",
"custom_code",
"arxiv:2411.14402",
"license:apple-amlr",
"model-index",
"endpoints_compatible",
"region:us"
] | image-feature-extraction | 2024-10-29T15:38:36Z | # Introduction
[[`AIMv2 Paper`](https://arxiv.org/abs/2411.14402)] [[`BibTeX`](#citation)]
We introduce the AIMv2 family of vision models pre-trained with a multimodal autoregressive objective.
AIMv2 pre-training is simple and straightforward to train and scale effectively. Some AIMv2 highlights include:
1. Outperfor... | [
{
"start": 18,
"end": 23,
"text": "AIMv2",
"label": "benchmark name",
"score": 0.8659628629684448
},
{
"start": 109,
"end": 114,
"text": "AIMv2",
"label": "benchmark name",
"score": 0.8348379731178284
},
{
"start": 195,
"end": 200,
"text": "AIMv2",
"la... |
Yuppie1204/NeoVerse | Yuppie1204 | 2026-02-16T11:59:08Z | 1,778 | 3 | diffusers | [
"diffusers",
"safetensors",
"video generation",
"4D World Model",
"novel view synthesis",
"video-to-video",
"dataset:SpatialVID/SpatialVID",
"arxiv:2601.00393",
"base_model:Wan-AI/Wan2.1-T2V-14B",
"base_model:finetune:Wan-AI/Wan2.1-T2V-14B",
"license:apache-2.0",
"region:us"
] | video-to-video | 2026-01-24T09:25:50Z | <div style="text-align: center;">
<h1>
<strong style="background: linear-gradient(to right, #3b82f6, #8b5cf6); -webkit-background-clip: text; -webkit-text-fill-color: transparent; background-clip: text;">NeoVerse</strong>
<span>: Enhancing 4D World Model with in-the-wild Monocular Videos</span>
</h1>
<p>
📑... | [] |
iris-sfg/Voxtral-Mini-4B-Realtime-2602-4bit | iris-sfg | 2026-04-23T02:07:07Z | 205 | 1 | mlx | [
"mlx",
"safetensors",
"voxtral_realtime",
"mlx-audio",
"speech-to-text",
"streaming",
"realtime",
"voxtral",
"automatic-speech-recognition",
"ar",
"de",
"en",
"es",
"fr",
"hi",
"it",
"nl",
"pt",
"zh",
"ja",
"ko",
"ru",
"base_model:mistralai/Voxtral-Mini-4B-Realtime-2602",... | automatic-speech-recognition | 2026-04-20T22:35:10Z | # Voxtral Mini 4B Realtime 4bit (bfloat16)
This is a **4-bit quantized, bfloat16-base** [MLX](https://github.com/ml-explore/mlx) conversion of [mistralai/Voxtral-Mini-4B-Realtime-2602](https://huggingface.co/mistralai/Voxtral-Mini-4B-Realtime-2602).
Compared to the older `mlx-community/Voxtral-Mini-4B-Realtime-2602-4... | [
{
"start": 33,
"end": 41,
"text": "bfloat16",
"label": "evaluation metric",
"score": 0.8933259844779968
},
{
"start": 73,
"end": 86,
"text": "bfloat16-base",
"label": "evaluation metric",
"score": 0.8524971604347229
},
{
"start": 155,
"end": 184,
"text": "... |
mradermacher/Eldrinox-24B-v1-i1-GGUF | mradermacher | 2025-12-28T21:35:59Z | 133 | 2 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-04T23:25:48Z | ## 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... | [] |
lightonai/LightOnOCR-2-1B | lightonai | 2026-05-04T09:33:08Z | 784,707 | 676 | transformers | [
"transformers",
"safetensors",
"mistral3",
"text-generation",
"ocr",
"document-understanding",
"vision-language",
"pdf",
"tables",
"forms",
"image-text-to-text",
"conversational",
"en",
"fr",
"de",
"es",
"it",
"nl",
"pt",
"sv",
"da",
"zh",
"ja",
"arxiv:2601.14251",
"a... | image-text-to-text | 2026-01-16T16:00:31Z | <div align="center">
<img src="lightonocr-banner.png" alt="LightOnOCR-2-1B Banner" width="600"/>
</div>
---
<div align="center">
[](https://lighton.ai)
[](h... | [] |
unsloth/Qwen3-4B-Instruct-2507 | unsloth | 2025-08-06T21:35:26Z | 46,011 | 25 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"unsloth",
"conversational",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-06T19:21:44Z | <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... | [] |
Andycurrent/Qwen2.5-VL-7B-Abliterated-Caption-it_GGUF | Andycurrent | 2025-12-17T04:54:16Z | 308 | 4 | null | [
"gguf",
"Image-to-text",
"text-generation",
"conversational",
"uncensored",
"en",
"zh",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-VL-7B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-16T07:39:49Z | ### Qwen2.5-VL-7B-Abliterated-Caption-it_GGUF(Vision Language)
This repository hosts Qwen2.5-VL-Abliterated-Caption-GGUF, a quantized Vision-Language (Uncensored) model optimized for image understanding and caption generation with relaxed alignment constraints. The model is designed for local inference, experimentatio... | [] |
mradermacher/next-ocr-GGUF | mradermacher | 2026-03-04T06:00:32Z | 1,018 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3_vl",
"trl",
"sft",
"chemistry",
"code",
"climate",
"art",
"biology",
"finance",
"legal",
"music",
"medical",
"agent",
"en",
"ab",
"aa",
"ae",
"af",
"ak",
"am",
"an",
"ar",
"as",
"av",
"ay",... | null | 2026-03-03T06:23:40Z | ## 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... | [] |
mit-han-lab/dc-ae-f32c32-sana-1.1 | mit-han-lab | 2025-02-02T13:41:54Z | 106 | 14 | null | [
"safetensors",
"text-to-image",
"arxiv:2410.10733",
"arxiv:2501.18427",
"region:us"
] | text-to-image | 2025-01-24T02:24:10Z | # Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models
[[paper](https://arxiv.org/abs/2410.10733)] [[GitHub](https://github.com/mit-han-lab/efficientvit)]
This repository contains the model of the paper [SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion... | [] |
mradermacher/VisCoder2-14B-i1-GGUF | mradermacher | 2025-12-10T02:12:08Z | 219 | 2 | transformers | [
"transformers",
"gguf",
"code",
"en",
"dataset:TIGER-Lab/VisCode-Multi-679K",
"base_model:TIGER-Lab/VisCoder2-14B",
"base_model:quantized:TIGER-Lab/VisCoder2-14B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-29T17:16:34Z | ## 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_... | [] |
MediaTek-Research/Breeze-Guard-26 | MediaTek-Research | 2026-03-17T10:29:44Z | 103 | 2 | null | [
"safetensors",
"llama",
"mtkresearch",
"zh",
"en",
"arxiv:2603.07286",
"license:apache-2.0",
"region:us"
] | null | 2026-03-17T02:34:31Z | # Breeze Guard 26
[GitHub](https://github.com/mtkresearch/TS-Bench.git) | [Paper](https://arxiv.org/abs/2603.07286)
**Breeze Guard 26** 是一個 80 億參數的台灣華語安全分類器，專門用於偵測使用者輸入中的有害內容。此模型以 [Breeze 2](https://huggingface.co/MediaTek-Research/Llama-Breeze2-8B-Instruct) 為基底，並使用 12,000 筆經人工驗證、針對台灣特定安全風險的資料進行微調。
**Breeze Guard 26... | [] |
thebajajra/RexBERT-micro | thebajajra | 2026-02-05T02:31:46Z | 259 | 4 | transformers | [
"transformers",
"pytorch",
"safetensors",
"modernbert",
"fill-mask",
"ecommerce",
"e-commerce",
"retail",
"marketplace",
"shopping",
"amazon",
"ebay",
"alibaba",
"google",
"rakuten",
"bestbuy",
"walmart",
"flipkart",
"wayfair",
"shein",
"target",
"etsy",
"shopify",
"tao... | fill-mask | 2025-09-09T23:18:46Z | # RexBERT-micro
[](https://www.apache.org/licenses/LICENSE-2.0)
[](https://huggingface.co/collections/thebajajra/rexbert-68cc4b1b8a272f6beae5ebb8)
[![Data](https://img.s... | [] |
mradermacher/Mistral-7B-Instruct-v0.3-Heretic-GGUF | mradermacher | 2026-03-01T07:11:58Z | 479 | 1 | transformers | [
"transformers",
"gguf",
"vllm",
"mistral-common",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:0xA50C1A1/Mistral-7B-Instruct-v0.3-Heretic",
"base_model:quantized:0xA50C1A1/Mistral-7B-Instruct-v0.3-Heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us... | null | 2026-03-01T01:58:15Z | ## 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/YiXin-Agentic-Qwen3-14B-i1-GGUF | mradermacher | 2025-12-05T00:32:51Z | 100 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:YiXin-AILab/YiXin-Agentic-Qwen3-14B",
"base_model:quantized:YiXin-AILab/YiXin-Agentic-Qwen3-14B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-31T17:07:10Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
jfer1015/Mistral-7B-Instruct-v0.3-Q4_K_M-GGUF | jfer1015 | 2024-06-24T02:10:04Z | 2,533 | 7 | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"base_model:mistralai/Mistral-7B-Instruct-v0.3",
"base_model:quantized:mistralai/Mistral-7B-Instruct-v0.3",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-06-24T02:09:41Z | # jfer1015/Mistral-7B-Instruct-v0.3-Q4_K_M-GGUF
This model was converted to GGUF format from [`mistralai/Mistral-7B-Instruct-v0.3`](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origin... | [] |
mradermacher/Magidonia-24B-v4.3-heretic-v1.2-GGUF | mradermacher | 2026-03-04T13:04:10Z | 661 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"mpoa",
"en",
"base_model:grayarea/Magidonia-24B-v4.3-heretic-v1.2",
"base_model:quantized:grayarea/Magidonia-24B-v4.3-heretic-v1.2",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-04T11:07:35Z | ## 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... | [] |
zenlm/zen4 | zenlm | 2026-03-03T14:26:29Z | 188 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"zen4",
"zenlm",
"hanzo",
"frontier-ai",
"open-weight",
"text-generation",
"conversational",
"en",
"zh",
"ja",
"ko",
"fr",
"de",
"es",
"pt",
"ru",
"ar",
"base_model:Qwen/Qwen3.5-9B",
"base_model:finetune:Qwen... | text-generation | 2026-03-03T14:18:31Z | # Zen4
**Zen4** is a 9B parameter language model from the [Zen4 family](https://zenlm.org) by [Zen LM](https://huggingface.co/zenlm) and [Hanzo AI](https://hanzo.ai).
Built on open-weight weights with Zen4 Frontier architecture for unrestricted, open-ended AI assistance.
## Model Details
| Property | Value |
|-----... | [] |
arcee-ai/Trinity-Nano-Preview-GGUF | arcee-ai | 2025-12-01T20:47:54Z | 1,138 | 28 | transformers | [
"transformers",
"gguf",
"en",
"es",
"fr",
"de",
"it",
"pt",
"ru",
"ar",
"hi",
"ko",
"zh",
"base_model:arcee-ai/Trinity-Nano-Preview",
"base_model:quantized:arcee-ai/Trinity-Nano-Preview",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-01T20:06:54Z | <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 Nano Preview GGUF
Trinity Nano Preview is a pre... | [] |
aapot/bge-m3-onnx | aapot | 2024-02-16T12:41:48Z | 3,869 | 33 | transformers | [
"transformers",
"onnx",
"xlm-roberta",
"feature-extraction",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2024-02-16T09:59:32Z | [BGE-M3](https://huggingface.co/BAAI/bge-m3) converted to ONNX weights with HF Optimum, to be compatible, for example, with ONNX Runtime.
This ONNX model outputs dense, sparse and ColBERT embedding representations all at once. The output is a list of numpy arrays in previously mentioned order of representations.
Not... | [] |
michelinolinolino/gemma4-4b-sci | michelinolinolino | 2026-04-16T19:12:38Z | 2,428 | 2 | gguf | [
"gguf",
"safetensors",
"gemma4",
"gemma",
"gemma-4",
"scientific",
"qlora",
"unsloth",
"ollama",
"openscholar",
"sciriff",
"text-generation",
"conversational",
"en",
"dataset:OpenSciLM/OS_Train_Data",
"dataset:allenai/SciRIFF-train-mix",
"base_model:unsloth/gemma-4-E4B-it",
"base_m... | text-generation | 2026-04-12T08:48:21Z | # gemma4-4b-sci
> [!WARNING]
> Early-stage research experiment. Trained for 1 epoch on 30K examples. Expect hallucinations and factual errors.
**gemma4-4b-sci** is a scientific-domain fine-tune of [Gemma 4 E4B](https://huggingface.co/unsloth/gemma-4-E4B-it) via QLoRA on 30,000 examples from [OpenSciLM/OS_Train_Data](... | [
{
"start": 1049,
"end": 1063,
"text": "ScholarQABench",
"label": "benchmark name",
"score": 0.7498952746391296
},
{
"start": 1094,
"end": 1108,
"text": "ScholarQABench",
"label": "benchmark name",
"score": 0.7014219164848328
}
] |
YTan2000/Qwopus3.5-27B-v3-Abliterated-TQ3_4S | YTan2000 | 2026-04-10T12:03:43Z | 351 | 2 | gguf | [
"gguf",
"llama.cpp",
"qwen",
"qwopus",
"quantization",
"turboquant",
"tq3_4s",
"abliterated",
"text-generation",
"en",
"base_model:Qwen/Qwen3.5-27B",
"base_model:quantized:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-04-09T20:03:01Z | # Qwopus3.5-27B-v3-Abliterated-TQ3_4S
`TQ3_4S` is a 3.5-bit Walsh-Hadamard-transform weight format with four per-8 scales per 32-weight block.
This release is a `TQ3_4S` GGUF quantization of [`croll83/Qwopus3.5-27B-v3-Abliterated`](https://huggingface.co/croll83/Qwopus3.5-27B-v3-Abliterated), derived from the Qwen3.5... | [
{
"start": 164,
"end": 170,
"text": "TQ3_4S",
"label": "benchmark name",
"score": 0.6517898440361023
},
{
"start": 1587,
"end": 1593,
"text": "TQ3_4S",
"label": "benchmark name",
"score": 0.6733231544494629
}
] |
UsefulSensors/moonshine-tiny-uk | UsefulSensors | 2025-09-03T14:58:03Z | 200 | 2 | transformers | [
"transformers",
"safetensors",
"moonshine",
"automatic-speech-recognition",
"uk",
"arxiv:2509.02523",
"arxiv:1810.03993",
"license:other",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2025-09-01T17:11:23Z | # Moonshine
[[Paper]](https://arxiv.org/abs/2509.02523) [[Installation]](https://github.com/usefulsensors/moonshine/blob/main/README.md)
This is the model card for running the automatic speech recognition (ASR) models (Moonshine models) trained and released by Moonshine AI (f.k.a Useful Sensors.)
Following [Model Ca... | [] |
mldi-lab/Kairos_50m | mldi-lab | 2026-04-24T05:18:13Z | 3,307 | 1 | transformers | [
"transformers",
"safetensors",
"kairos",
"time-series",
"forecasting",
"foundation-model",
"zero-shot",
"time-series-forecasting",
"arxiv:2509.25826",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | time-series-forecasting | 2025-09-30T08:23:51Z | # Kairos-50M: Adaptive Time Series Foundation Model
This model is presented in the paper [Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models](https://arxiv.org/abs/2509.25826v2).
[](https://ar... | [] |
HichTala/draw2 | HichTala | 2026-04-06T11:09:05Z | 601 | 2 | transformers | [
"transformers",
"safetensors",
"vit",
"image-classification",
"object-detection",
"en",
"dataset:HichTala/ygoprodeck-dataset",
"arxiv:2010.11929",
"base_model:google/vit-base-patch16-224-in21k",
"base_model:finetune:google/vit-base-patch16-224-in21k",
"license:agpl-3.0",
"endpoints_compatible"... | object-detection | 2025-05-07T12:04:43Z | <div align="center">
<p>
<img src="https://raw.githubusercontent.com/HichTala/draw2/refs/heads/main/figures/banner-draw.png">
</p>
<div>
[](LICENSE)
[... | [] |
VLA-Arena/openvla-7b-oft-finetuned-vla-arena | VLA-Arena | 2026-02-24T11:17:18Z | 198 | 1 | transformers | [
"transformers",
"safetensors",
"openvla",
"feature-extraction",
"multimodal",
"robotics",
"vision-language-action",
"vla-arena",
"imitation-learning",
"custom_code",
"en",
"dataset:VLA-Arena/VLA_Arena_L0_L_lerobot_openpi",
"license:mit",
"region:us"
] | robotics | 2025-12-20T07:07:19Z | # OpenVLA (VLA-Arena Fine-tuned)
## About VLA-Arena
**VLA-Arena** is a comprehensive benchmark designed to quantitatively understand the limits and failure modes of Vision-Language-Action (VLA) models. While VLAs are advancing towards generalist robot policies, measuring their true capability frontiers remains challe... | [
{
"start": 2,
"end": 9,
"text": "OpenVLA",
"label": "benchmark name",
"score": 0.9482607841491699
},
{
"start": 11,
"end": 20,
"text": "VLA-Arena",
"label": "benchmark name",
"score": 0.8525152206420898
},
{
"start": 43,
"end": 52,
"text": "VLA-Arena",
... |
tokyotech-llm/Qwen3-Swallow-32B-RL-v0.2 | tokyotech-llm | 2026-02-23T11:50:46Z | 1,220 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"en",
"ja",
"dataset:tokyotech-llm/swallow-math-v2",
"dataset:tokyotech-llm/swallow-code-v2",
"dataset:tokyotech-llm/Swallow-Nemotron-Post-Training-Dataset-v1",
"dataset:tokyotech-llm/lmsys-chat-1m-synth",
"arxiv:2505... | text-generation | 2026-02-01T08:51:04Z | # Qwen3-Swallow
**Qwen3-Swallow v0.2** is a family of large language models available in **8B**, **30B-A3B**, and **32B** parameter sizes. Built as bilingual Japanese-English models, they were developed through Continual Pre-Training (CPT), Supervised Fine-Tuning (SFT), and Reinforcement ... | [] |
mradermacher/Starlit-Shadow-12B-Heretic-i1-GGUF | mradermacher | 2026-03-18T22:00:10Z | 2,137 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Sorihon/Starlit-Shadow-12B-Heretic",
"base_model:quantized:Sorihon/Starlit-Shadow-12B-Heretic",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-18T20:50:12Z | ## 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": 626,
"end": 660,
"text": "Starlit-Shadow-12B-Heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.6767565011978149
},
{
"start": 1226,
"end": 1260,
"text": "Starlit-Shadow-12B-Heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.6389901041984558
}
] |
llmfan46/gpt-oss-120b-ultra-heretic | llmfan46 | 2026-03-27T22:56:27Z | 197 | 3 | transformers | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"vllm",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"arxiv:2508.10925",
"base_model:openai/gpt-oss-120b",
"base_model:finetune:openai/gpt-oss-120b",
"license:apache-2.0",
"endpoints_compatible",
"8... | text-generation | 2026-03-07T22:21:27Z | <div style="background-color: #ff4444; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
<h2 style="color: white; margin: 0 0 10px 0;">🚨⚠️ I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT ⚠️🚨</h2>
<p style="font-size: 18px; margin: 0 0 15px 0;">I can no longer upload new models u... | [] |
nunchaku-ai/nunchaku-flux.1-canny-dev | nunchaku-ai | 2025-11-16T02:24:20Z | 150 | 7 | diffusers | [
"diffusers",
"image-to-image",
"SVDQuant",
"FLUX.1-Canny-dev",
"FLUX.1",
"Diffusion",
"Quantization",
"ICLR2025",
"en",
"dataset:mit-han-lab/svdquant-datasets",
"arxiv:2411.05007",
"base_model:black-forest-labs/FLUX.1-Canny-dev",
"base_model:quantized:black-forest-labs/FLUX.1-Canny-dev",
"... | image-to-image | 2025-07-17T00:48:02Z | <p align="center" style="border-radius: 10px">
<img src="https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/nunchaku_v2.png" width="30%" alt="Nunchaku Logo"/>
</p>
<div align="center">
<a href=https://discord.gg/Wk6PnwX9Sm target="_blank"><img src=https://img.shields.io/badge/dynamic/js... | [] |
Graf-J/captcha-crnn-finetuned | Graf-J | 2026-03-01T06:35:29Z | 165 | 1 | transformers | [
"transformers",
"safetensors",
"captcha_crnn",
"feature-extraction",
"ocr",
"pytorch",
"image-to-text",
"custom_code",
"dataset:hammer888/captcha-data",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-to-text | 2026-02-21T04:27:40Z | <div align="center">
# ✨ DeepCaptcha-CRNN: Sequential Vision for OCR
### CRNN Fine-Tuned
[](https://opensource.org/licenses/MIT)
[](https://www.python.org/downloads/release/python-3130... | [] |
mradermacher/SmolMoE-4x360M-Instruct-GGUF | mradermacher | 2026-03-22T13:10:11Z | 373 | 1 | transformers | [
"transformers",
"gguf",
"mixture-of-experts",
"moe",
"mergekit",
"smollm2",
"instruct",
"reasoning",
"code",
"math",
"creative",
"merge",
"en",
"base_model:Fu01978/SmolMoE-4x360M-Instruct",
"base_model:quantized:Fu01978/SmolMoE-4x360M-Instruct",
"license:apache-2.0",
"endpoints_compa... | null | 2026-03-22T11:43:36Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
timm/convit_base.fb_in1k | timm | 2025-01-21T18:06:42Z | 4,140 | 1 | timm | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"transformers",
"dataset:imagenet-1k",
"arxiv:2103.10697",
"license:apache-2.0",
"region:us"
] | image-classification | 2023-04-24T04:13:12Z | # Model card for convit_base.fb_in1k
A ConViT image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Params (M): 86.5
- GMACs: 17.5
- Activations (M): 31.8
- Image size: 224 x 224
- **Papers:**
- Co... | [] |
ai-forever/ru-en-RoSBERTa | ai-forever | 2024-09-26T07:57:30Z | 24,504 | 78 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"roberta",
"feature-extraction",
"mteb",
"transformers",
"ru",
"en",
"arxiv:2408.12503",
"base_model:ai-forever/ruRoberta-large",
"base_model:finetune:ai-forever/ruRoberta-large",
"license:mit",
"model-index",
"text-embeddings-inference",
"endpoint... | feature-extraction | 2024-07-29T08:38:09Z | # Model Card for ru-en-RoSBERTa
The ru-en-RoSBERTa is a general text embedding model for Russian. The model is based on [ruRoBERTa](https://huggingface.co/ai-forever/ruRoberta-large) and fine-tuned with ~4M pairs of supervised, synthetic and unsupervised data in Russian and English. Tokenizer supports some English tok... | [] |
amazon/chronos-t5-small | amazon | 2025-11-21T12:55:58Z | 829,238 | 139 | 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 | 2024-02-21T10:06:21Z | # Chronos-T5 (Small)
🚀 **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 e... | [] |
unsloth/SmolLM2-135M-Instruct-GGUF | unsloth | 2024-10-31T20:42:55Z | 30,537 | 19 | transformers | [
"transformers",
"gguf",
"llama",
"unsloth",
"en",
"base_model:HuggingFaceTB/SmolLM2-135M-Instruct",
"base_model:quantized:HuggingFaceTB/SmolLM2-135M-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-10-31T20:38:42Z | # Finetune SmolLM2, Llama 3.2, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a free Google Colab Tesla T4 notebook for Llama 3.2 (3B) here: https://colab.research.google.com/drive/1Ys44kVvmeZtnICzWz0xgpRnrIOjZAuxp?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | [] |
TheCluster/Qwen3.5-27B-Heretic-MLX-nvfp4 | TheCluster | 2026-03-03T07:01:51Z | 1,441 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"heretic",
"uncensored",
"unrestricted",
"decensored",
"abliterated",
"image-text-to-text",
"conversational",
"en",
"zh",
"base_model:coder3101/Qwen3.5-27B-heretic",
"base_model:quantized:coder3101/Qwen3.5-27B-heretic",
"license:apache-2.0",
"4-bit",
... | image-text-to-text | 2026-02-26T01:36:44Z | <div align="center"><img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png"></div>
# Qwen3.5-27B Heretic MLX nvfp4
#### This is a abliterated (uncensored) version of [Qwen/Qwen3.5-27B](https://huggingface.co/Qwen/Qwen3.5-27B), made using [Heretic](https://github.com/p-e-w/heretic) v1... | [
{
"start": 559,
"end": 572,
"text": "KL divergence",
"label": "evaluation metric",
"score": 0.6030986905097961
},
{
"start": 925,
"end": 949,
"text": "mlp.down_proj.max_weight",
"label": "evaluation metric",
"score": 0.6096600890159607
},
{
"start": 965,
"end"... |
StreamFormer/OmniStream | StreamFormer | 2026-03-16T05:33:30Z | 190 | 1 | transformers | [
"transformers",
"safetensors",
"vfm",
"image-feature-extraction",
"arxiv:2603.12265",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-feature-extraction | 2026-03-11T11:45:22Z | # OmniStream: Mastering Perception, Reconstruction and Action in Continuous Streams
OmniStream is a unified streaming visual backbone that effectively perceives, reconstructs, and acts from diverse visual inputs. By incorporating causal spatiotemporal attention and 3D rotary positional embeddings (3D-RoPE), the model ... | [] |
mradermacher/DavidAU_L3.3_8B_OpusR_HUC-GGUF | mradermacher | 2026-03-07T08:38:09Z | 770 | 1 | transformers | [
"transformers",
"gguf",
"thinking",
"reasoning",
"instruct",
"heretic",
"uncensored",
"abliterated",
"Claude4.5-Opus",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",... | null | 2026-03-07T08:14:09Z | ## 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... | [] |
kaitchup/translategemma-12b-it-FP8-Dynamic | kaitchup | 2026-01-19T17:35:56Z | 378 | 3 | null | [
"safetensors",
"gemma3",
"dataset:kaitchup/opus100-translategemma-calib",
"base_model:google/translategemma-12b-it",
"base_model:quantized:google/translategemma-12b-it",
"license:gemma",
"compressed-tensors",
"region:us"
] | null | 2026-01-17T19:23:18Z | This is a quantized variant of **google/translategemma-12b-it**, created by **The Kaitchup** (newsletter: https://kaitchup.substack.com).
More details (training recipe, benchmarks, and recommended settings) will be added later. In the meantime, here are the current notes and a working inference example.
## Status / l... | [
{
"start": 773,
"end": 791,
"text": "max-model-len 2048",
"label": "evaluation metric",
"score": 0.8417283296585083
},
{
"start": 853,
"end": 858,
"text": "gemma",
"label": "benchmark name",
"score": 0.7671732306480408
},
{
"start": 969,
"end": 974,
"text"... |
mradermacher/Newton-bot-3-text-mini-8B-i1-GGUF | mradermacher | 2026-02-01T02:58:25Z | 149 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"NewtonBot",
"NewtonBotFamilyTree",
"chemistry",
"biology",
"legal",
"code",
"moe",
"medical",
"agent",
"text-generation-inference",
"ru",
"en",
"aa",
"ab",
"ae",
"af",
"ak",
"am",
"an",
"ar",
"as",
"av",
"ay",
"az",
... | null | 2026-02-01T01:51:01Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 627,
"end": 660,
"text": "Newton-bot-3-text-mini-8B-i1-GGUF",
"label": "benchmark name",
"score": 0.6202192306518555
}
] |
MoritzLaurer/xlm-v-base-mnli-xnli | MoritzLaurer | 2025-01-16T10:32:51Z | 105 | 23 | transformers | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"xlm-roberta",
"text-classification",
"zero-shot-classification",
"nli",
"multilingual",
"en",
"ar",
"bg",
"de",
"el",
"es",
"fr",
"hi",
"ru",
"sw",
"th",
"tr",
"ur",
"vi",
"zh",
"dataset:multi_nli",
"dataset:xnli",
... | zero-shot-classification | 2023-02-09T17:02:39Z | ---
# Multilingual XLM-V-base-mnli-xnli
## Model description
This multilingual model can perform natural language inference (NLI) on 116 languages and is therefore also
suitable for multilingual zero-shot classification. The underlying XLM-V-base model was created
by Meta AI and pretrained on the [CC100 multilingual ... | [] |
openguardrails/OpenGuardrails-Text-2510 | openguardrails | 2026-02-02T11:45:02Z | 609 | 10 | null | [
"safetensors",
"qwen3",
"safety",
"security",
"compliance",
"prompt_attack",
"prompt_injection",
"prompt_jailbreak",
"text-generation",
"conversational",
"en",
"zh",
"arxiv:2510.19169",
"base_model:Qwen/Qwen3-14B",
"base_model:quantized:Qwen/Qwen3-14B",
"license:apache-2.0",
"4-bit",... | text-generation | 2025-10-23T05:01:55Z | # OpenGuardrails-Text-2510
<p align="center">
<img src="https://www.openguardrails.com/logo.png" width="400"/>
<p>
**OpenGuardrails** is **open-source enterprise-garde AI security platform** that combines configurable policy control, unified LLM-based architecture, and low-latency deployment.
This repository pr... | [
{
"start": 925,
"end": 956,
"text": "probabilistic confidence scores",
"label": "evaluation metric",
"score": 0.7245473861694336
}
] |
mradermacher/Llama-3.3-70B-Instruct-abliterated-finetuned-i1-GGUF | mradermacher | 2024-12-21T04:47:39Z | 415 | 5 | transformers | [
"transformers",
"gguf",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"abliterated",
"uncensored",
"en",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"de",
"base_model:huihui-ai/Llama-3.3-70B-Instruct-abliterated-finetuned",
"base_model:quantized:huihui-ai/Llama-3.3-70B-Instruct-abli... | null | 2024-12-21T01:33:54Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/huihui-ai/Llama-3.3-70B-Instruct-abliterated-finetuned
<!-- provided-files -->
static quants are avail... | [] |
clips/e5-large-trm-nl | clips | 2025-10-13T10:09:23Z | 6,248 | 2 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"transformers",
"sentence-similarity",
"nl",
"dataset:clips/beir-nl-mmarco",
"dataset:clips/beir-nl-hotpotqa",
"dataset:clips/beir-nl-fever",
"arxiv:2509.12340",
"base_model:clips/e5-large-trm",
"base_model:finetune... | sentence-similarity | 2025-09-15T15:16:31Z | # E5-large-trm-nl
This model is a fine-tuned version of [clips/e5-large-trm](https://huggingface.co/clips/e5-large-trm).
## Usage
Below is an example to encode queries and passages from the MS-MARCO passage ranking dataset.
```python
import torch.nn.functional as F
from torch import Tensor
from transformers impor... | [] |
mradermacher/QwenLong-L1.5-30B-A3B-GGUF | mradermacher | 2025-12-16T17:54:14Z | 321 | 7 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Tongyi-Zhiwen/QwenLong-L1.5-30B-A3B",
"base_model:quantized:Tongyi-Zhiwen/QwenLong-L1.5-30B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-16T15:01:57Z | ## 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... | [
{
"start": 524,
"end": 550,
"text": "QwenLong-L1.5-30B-A3B-GGUF",
"label": "benchmark name",
"score": 0.6415234208106995
}
] |
KRLabsOrg/tinylettuce-ettin-17m-en-bioasq | KRLabsOrg | 2025-08-31T11:30:25Z | 113 | 7 | transformers | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"token classification",
"hallucination detection",
"retrieval-augmented generation",
"ettin",
"lightweight",
"en",
"dataset:KRLabsOrg/rag-bioasq-lettucedetect",
"arxiv:2507.11412",
"arxiv:2502.17125",
"base_model:jhu-clsp... | token-classification | 2025-08-31T10:53:12Z | # TinyLettuce (Ettin-17M): Efficient Hallucination Detection
<p align="center">
<img src="https://github.com/KRLabsOrg/LettuceDetect/blob/dev/assets/tinytinylettuce.png?raw=true" alt="TinyLettuce" width="400"/>
</p>
**Model Name:** tinylettuce-ettin-17m-en-bioasq
**Organization:** KRLabsOrg
**Github:** https://... | [] |
Alibaba-Apsara/DASD-4B-Thinking | Alibaba-Apsara | 2026-01-15T06:43:35Z | 435 | 216 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"dataset:Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b",
"dataset:Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b-Logprob",
"arxiv:2601.09088",
"arxiv:2512.20908",
"license:apache-2.0",
"text-generation-inferenc... | text-generation | 2025-12-25T09:20:41Z | # DASD-4B-Thinking
<img src="assets/dasd-logo.png" alt="Ali" style="vertical-align: middle;">
[](https://github.com/D2I-ai/dasd-thinking) 
<a href="https://arxiv.org/abs/2601.09088" target="_blank"><img src="https://... | [] |
prithivMLmods/Qwen3.5-0.8B-Unredacted-MAX | prithivMLmods | 2026-03-11T02:35:59Z | 141 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"refusal-ablated",
"vllm",
"pytorch",
"bf16",
"max",
"alignment-modified",
"reasoning",
"conversational",
"en",
"base_model:Qwen/Q... | image-text-to-text | 2026-03-05T17:39:24Z | 
# **Qwen3.5-0.8B-Unredacted-MAX**
> **Qwen3.5-0.8B-Unredacted-MAX** is an unredacted evolution built on top of **Qwen/Qwen3.5-0.8B**. This model applies **advanced refusal direction analysis** and abliterate... | [
{
"start": 116,
"end": 143,
"text": "Qwen3.5-0.8B-Unredacted-MAX",
"label": "benchmark name",
"score": 0.8856140375137329
},
{
"start": 151,
"end": 178,
"text": "Qwen3.5-0.8B-Unredacted-MAX",
"label": "benchmark name",
"score": 0.883519172668457
},
{
"start": 231,... |
Lightricks/LTX-2 | Lightricks | 2026-03-02T12:38:08Z | 1,165,326 | 1,650 | diffusers | [
"diffusers",
"safetensors",
"image-to-video",
"text-to-video",
"video-to-video",
"image-text-to-video",
"audio-to-video",
"text-to-audio",
"video-to-audio",
"audio-to-audio",
"text-to-audio-video",
"image-to-audio-video",
"image-text-to-audio-video",
"ltx-2",
"ltx-video",
"ltxv",
"li... | image-to-video | 2026-01-03T10:23:39Z | # LTX-2 Model Card
This model card focuses on the LTX-2 model, as presented in the paper [LTX-2: Efficient Joint Audio-Visual Foundation Model](https://huggingface.co/papers/2601.03233). The codebase is available [here](https://github.com/Lightricks/LTX-2).
LTX-2 is a DiT-based audio-video foundation model designed t... | [] |
mradermacher/Austral-Xgen-9B-Winton-GGUF | mradermacher | 2025-08-31T13:38:32Z | 308 | 1 | transformers | [
"transformers",
"gguf",
"roleplay",
"finetune",
"axolotl",
"adventure",
"creative-writing",
"Llama",
"9B",
"en",
"base_model:Delta-Vector/Austral-Xgen-9B-Winton",
"base_model:quantized:Delta-Vector/Austral-Xgen-9B-Winton",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"con... | null | 2025-08-31T12:37:55Z | ## 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... | [
{
"start": 523,
"end": 550,
"text": "Austral-Xgen-9B-Winton-GGUF",
"label": "benchmark name",
"score": 0.7120487093925476
},
{
"start": 634,
"end": 664,
"text": "Austral-Xgen-9B-Winton-i1-GGUF",
"label": "benchmark name",
"score": 0.679545521736145
},
{
"start": 1... |
aashish1904/Jan-v3-4B-base-instruct-GGUF | aashish1904 | 2026-02-01T12:29:52Z | 140 | 2 | gguf | [
"gguf",
"quantized",
"llama-cpp",
"text-generation",
"base_model:janhq/Jan-v3-4B-base-instruct",
"base_model:quantized:janhq/Jan-v3-4B-base-instruct",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-02-01T12:22:15Z | # Jan-v3-4B-base-instruct - GGUF
This is a quantized GGUF version of [janhq/Jan-v3-4B-base-instruct](https://huggingface.co/janhq/Jan-v3-4B-base-instruct) created using [llama.cpp](https://github.com/ggerganov/llama.cpp).
## Available Quantizations
| Filename | Quant Type | Description |
|----------|------------|---... | [] |
IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct | IQuestLab | 2026-03-04T14:33:02Z | 10,760 | 323 | transformers | [
"transformers",
"safetensors",
"iquestloopcoder",
"text-generation",
"conversational",
"custom_code",
"en",
"arxiv:2512.13472",
"arxiv:2512.23611",
"arxiv:2512.22087",
"license:other",
"region:us"
] | text-generation | 2025-12-30T15:33:31Z | 
<p align="center">
📘 <a href="https://iquestlab.github.io">Blog</a >
•
📄 <a href="https://github.com/IQuestLab/IQuest-Coder-V1/blob/main/papers/IQuest_Coder_Technical_Report.pdf">Technical Report</a >
</p >
# IQuest-Coder-V1 Model Family
| ... | [
{
"start": 1454,
"end": 1482,
"text": "State-of-the-Art Performance",
"label": "evaluation metric",
"score": 0.6378219723701477
},
{
"start": 1514,
"end": 1532,
"text": "SWE-Bench Verified",
"label": "benchmark name",
"score": 0.7400515079498291
},
{
"start": 1542... |
prithivMLmods/Polaris-VGA-4B-Post1.0e | prithivMLmods | 2026-03-27T12:06:14Z | 279 | 1 | transformers | [
"transformers",
"safetensors",
"gguf",
"qwen3_5",
"image-text-to-text",
"text-generation-inference",
"object-detection",
"localization",
"grounding",
"visual-grounding-anything",
"vllm",
"opencv-python",
"vlm",
"llama.cpp",
"conversational",
"en",
"base_model:Qwen/Qwen3.5-4B",
"bas... | image-text-to-text | 2026-03-23T15:19:11Z | 
# **Polaris-VGA-2B-Post1.0e**
> **Polaris-VGA-2B-Post1.0e** is an experimental post-optimized evolution built on top of **Qwen/Qwen3.5-4B**, designed to extend compact-to-mid scale language modeling into th... | [] |
thelamapi/next-270m | thelamapi | 2026-03-01T18:19:11Z | 273 | 5 | transformers | [
"transformers",
"safetensors",
"gguf",
"gemma3_text",
"text-generation",
"turkish",
"türkiye",
"english",
"ai",
"lamapi",
"gemma3",
"next",
"next-x1",
"efficient",
"open-source",
"1b",
"270m",
"finetune",
"huggingface",
"large-language-model",
"llm",
"causal",
"transforme... | text-generation | 2025-10-18T15:16:36Z | <img src='assets/banner.png'>
# 🚀 Next-270M (xt330)
### *Lightweight, Efficient, and Türkiye-Focused AI*
[](https://opensource.org/licenses/MIT)
[]()
[![HuggingFace](http... | [] |
mradermacher/Olmo-3-7B-Instruct-TrashMix-v1-GGUF | mradermacher | 2025-11-29T11:00:09Z | 398 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:PJMixers-Dev/TrashMix-v1",
"base_model:xzuyn/Olmo-3-7B-Instruct-TrashMix-v1",
"base_model:quantized:xzuyn/Olmo-3-7B-Instruct-TrashMix-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-29T10:13:07Z | ## 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... | [] |
ReadyArt/Dark-Osmosis-24B-v1.0-GGUF | ReadyArt | 2025-10-30T16:32:45Z | 633 | 10 | null | [
"gguf",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"Other License",
"base_model:ReadyArt/Dark-Osmosis-24B-v1.0",
"base_model:quantized:ReadyArt/Dark-Osmosis-24B-v1.0",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-30T01:44:48Z | <style>
:root {
--dark-bg: #0a0505;
--lava-red: #ff3300;
--lava-orange: #ff6600;
--lava-yellow: #ff9900;
--neon-blue: #00ccff;
--neon-purple: #cc00ff;
}
* {
margin: 0;
padding: 0;
box-siz... | [] |
Abhiray/Huihui-Qwen3.5-9B-abliterated-GGUF | Abhiray | 2026-03-10T04:53:49Z | 4,461 | 2 | gguf | [
"gguf",
"qwen",
"qwen3.5",
"abliterated",
"uncensored",
"text-generation",
"base_model:huihui-ai/Huihui-Qwen3.5-9B-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3.5-9B-abliterated",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-03-09T20:57:37Z | # Huihui-Qwen3.5-9B-abliterated - GGUF
This repository contains GGUF format model files for [huihui-ai/Huihui-Qwen3.5-9B-abliterated](https://huggingface.co/huihui-ai/Huihui-Qwen3.5-9B-abliterated).
## 💾 Provided Files and Quantizations
We provide a spectrum of quantizations to suit different hardware capabilitie... | [] |
MiniMaxAI/MiniMax-M1-80k | MiniMaxAI | 2025-07-07T07:51:42Z | 11,425 | 691 | transformers | [
"transformers",
"safetensors",
"minimax_m1",
"text-generation",
"vllm",
"conversational",
"custom_code",
"arxiv:2506.13585",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-06-13T08:21:14Z | <div align="center">
<svg width="60%" height="auto" viewBox="0 0 144 48" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M26.6782 7.96523C26.6782 7.02436 25.913 6.26087 24.9739 6.26087C24.0348 6.26087 23.2695 7.0261 23.2695 7.96523V36.2139C23.2695 38.4 21.4904 40.1791 19.3043 40.1791C17.1183 40.1791 15.3391 3... | [] |
RefalMachine/RuadaptQwen3-4B-Instruct-GGUF | RefalMachine | 2025-08-26T11:10:01Z | 541 | 6 | null | [
"gguf",
"ru",
"en",
"dataset:dichspace/darulm",
"dataset:HuggingFaceFW/fineweb-2",
"dataset:RefalMachine/ruadapt_instruct_2507",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversatio... | null | 2025-08-26T11:01:30Z | <p align="left">
<a href="https://jle.hse.ru/article/view/22224"><b>Paper Link</b>👁️</a>
<br>
<a href="https://huggingface.co/RefalMachine/RuadaptQwen3-4B-Instruct"><b>Hf ver</b>🚀</a>
</p>
<hr>
# RU
## Описание модели
GGUF **Ruadapt** версия **инструктивной** модели **Qwen/Qwen3-4B-Instruct-2507**. В модели б... | [] |
unsloth/Qwen3-4B-Thinking-2507-unsloth-bnb-4bit | unsloth | 2025-08-06T21:21:36Z | 15,091 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"unsloth",
"conversational",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-4B-Thinking-2507",
"base_model:quantized:Qwen/Qwen3-4B-Thinking-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"bit... | text-generation | 2025-08-06T21:21:17Z | <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... | [] |
juiceb0xc0de/bella-bartender-3b | juiceb0xc0de | 2026-03-23T01:33:54Z | 2,839 | 2 | null | [
"safetensors",
"gguf",
"llama",
"llama3.2",
"3b",
"conversational",
"unsloth",
"fine-tuned",
"bartender",
"personality",
"creative-writing",
"roleplay",
"quantized",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix"
] | text-generation | 2026-03-07T01:07:18Z | # Bella-Bartender-Barback — unsloth-Llama3.2-3B-Instruct
> *"i'm just bella, the bartender. call me one of those or just bella."*
Bella is a fine-tuned conversational AI with personality. She's built on Llama 3.2 3B Instruct (via Unsloth) and trained on real human conversation — not synthetic slop. The training data ... | [] |
John1604/DeepSeek-R1-Distill-Qwen-32B-gguf | John1604 | 2025-10-12T18:21:46Z | 123 | 3 | null | [
"gguf",
"en",
"zh",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
"base_model:quantized:deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-12T16:35:56Z | # Deepseek-r1 32B
This is distilled Deepseek-r1. Make sure you have enough ram/gpu to run. On the right of model card, you may see the size of each quantized models.
## Use the model in ollama
### First download and install ollama.
https://ollama.com/download
### Command
in windows command line, or in terminal in... | [
{
"start": 2,
"end": 13,
"text": "Deepseek-r1",
"label": "benchmark name",
"score": 0.7077305316925049
},
{
"start": 526,
"end": 559,
"text": "DeepSeek-R1-Distill-Qwen-32B-gguf",
"label": "benchmark name",
"score": 0.6162174344062805
},
{
"start": 938,
"end": ... |
Intel/Qwen3-Omni-30B-A3B-Instruct-int4-AutoRound | Intel | 2026-04-16T14:46:48Z | 800 | 4 | null | [
"safetensors",
"qwen3_omni_moe",
"Any-to-Any",
"arxiv:2309.05516",
"base_model:Qwen/Qwen3-Omni-30B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-Omni-30B-A3B-Instruct",
"license:apache-2.0",
"4-bit",
"auto-round",
"region:us"
] | null | 2026-03-18T13:21:47Z | ## Model Details
This model is a mixed int4 model with group_size 128 and symmetric quantization of [Qwen/Qwen3-Omni-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Instruct/) generated by [intel/auto-round](https://github.com/intel/auto-round). Please follow the license of the original model.
## vll... | [] |
ibm-research/MoLFormer-XL-both-10pct | ibm-research | 2024-03-31T02:42:01Z | 301,475 | 35 | transformers | [
"transformers",
"pytorch",
"safetensors",
"molformer",
"fill-mask",
"chemistry",
"feature-extraction",
"custom_code",
"arxiv:2106.09553",
"license:apache-2.0",
"region:us"
] | feature-extraction | 2023-10-20T20:14:50Z | # MoLFormer-XL-both-10%
MoLFormer is a class of models pretrained on SMILES string representations of up to 1.1B molecules from ZINC and PubChem.
This repository is for the model pretrained on 10% of both datasets.
It was introduced in the paper [Large-Scale Chemical Language Representations Capture Molecular Structu... | [] |
HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive | HauhauCS | 2026-04-05T19:01:05Z | 725,110 | 994 | null | [
"gguf",
"uncensored",
"qwen3.5",
"qwen",
"en",
"zh",
"multilingual",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-04T00:24:31Z | # Qwen3.5-9B-Uncensored-HauhauCS-Aggressive
> **[Join the Discord](https://discord.gg/SZ5vacTXYf)** for updates, roadmaps, projects, or just to chat.
Qwen3.5-9B uncensored by HauhauCS.
## About
**0/465 refusals.** Fully uncensored with zero capability loss.
No changes to datasets or capabilities. Fully functional,... | [] |
mradermacher/Voxtral-Small-24B-2507-i1-GGUF | mradermacher | 2025-12-25T03:06:36Z | 2,440 | 1 | transformers | [
"transformers",
"gguf",
"vllm",
"en",
"fr",
"de",
"es",
"it",
"pt",
"nl",
"hi",
"base_model:mistralai/Voxtral-Small-24B-2507",
"base_model:quantized:mistralai/Voxtral-Small-24B-2507",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-07-29T12:07:42Z | ## 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... | [] |
CultriX/Nevoria-R1-70b-AWQ-W4A16-g128 | CultriX | 2026-01-04T10:58:13Z | 220 | 1 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"merge",
"llama-3",
"causal-lm",
"chat",
"role-playing",
"storytelling",
"quantization",
"awq",
"compressed-tensors",
"w4a16",
"70b",
"conversational",
"en",
"base_model:Steelskull/L3.3-Nevoria-R1-70b",
"base_model:quanti... | text-generation | 2025-12-24T23:52:35Z | # CultriX/Nevoria-R1-70b-AWQ-W4A16-g128
## Summary
This repository provides an **AWQ-quantized (W4A16)** checkpoint of a **70B-class Llama-family** model, packaged in the **`compressed-tensors`** format (**4-bit weights**, **group size 128**) for **efficient inference** (lower VRAM, higher throughput).
**Important c... | [
{
"start": 599,
"end": 609,
"text": "SteelSkull",
"label": "benchmark name",
"score": 0.6658380627632141
}
] |
mistralai/Mistral-Small-24B-Instruct-2501 | mistralai | 2025-07-28T17:26:22Z | 111,107 | 949 | vllm | [
"vllm",
"safetensors",
"mistral",
"en",
"fr",
"de",
"es",
"it",
"pt",
"zh",
"ja",
"ru",
"ko",
"base_model:mistralai/Mistral-Small-24B-Base-2501",
"base_model:finetune:mistralai/Mistral-Small-24B-Base-2501",
"license:apache-2.0",
"region:us"
] | null | 2025-01-28T13:30:13Z | # Model Card for Mistral-Small-24B-Instruct-2501
Mistral Small 3 ( 2501 ) sets a new benchmark in the "small" Large Language Models category below 70B, boasting 24B parameters and achieving state-of-the-art capabilities comparable to larger models!
This model is an instruction-fine-tuned version of the base model: [... | [
{
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"end": 48,
"text": "Mistral-Small-24B-Instruct-2501",
"label": "benchmark name",
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{
"start": 50,
"end": 63,
"text": "Mistral Small",
"label": "benchmark name",
"score": 0.6569039225578308
},
{
"start": 320,
"end": 3... |
hum-ma/SDXL-models-GGUF | hum-ma | 2025-02-12T00:36:26Z | 2,717 | 17 | diffusers | [
"diffusers",
"gguf",
"text-to-image",
"region:us"
] | text-to-image | 2025-01-22T06:40:29Z | A small selection of quantized SDXL models in GGUF format, to be used with the custom ComfyUI nodes from https://github.com/city96/ComfyUI-GGUF
| Model | Hugging Face | CivitAI |
| ----- | ------- | ------------ |
| CyberRealistic XL v4 | [hf link](https://huggingface.co/cyberdelia/CyberRealisticXL) | [civit link](htt... | [] |
LiquidAI/LFM2-350M | LiquidAI | 2026-03-30T13:13:51Z | 36,130 | 241 | transformers | [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"liquid",
"edge",
"conversational",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"arxiv:2511.23404",
"license:other",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-07-10T12:01:24Z | <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>
<... | [] |
thu-coai/ShieldAgent | thu-coai | 2025-02-20T12:11:22Z | 536 | 3 | null | [
"safetensors",
"qwen2",
"arxiv:2412.14470",
"license:mit",
"region:us"
] | null | 2025-02-20T04:49:19Z | # Model Information
This repository provides the ShieldAgent model, a fine-tuned safety judgment model for assessing behavioral safety of LLM agents and generating detailed explanations, applied in [Agent-SafetyBench](https://arxiv.org/pdf/2412.14470). ShieldAgent is initialized from [Qwen-2.5-7B-Instruct](https://hug... | [
{
"start": 200,
"end": 217,
"text": "Agent-SafetyBench",
"label": "benchmark name",
"score": 0.7125592231750488
},
{
"start": 590,
"end": 606,
"text": "Gemini-1.5-Flash",
"label": "benchmark name",
"score": 0.7196402549743652
},
{
"start": 633,
"end": 639,
... |
deepdml/whisper-small-ar-quran-mix-norm | deepdml | 2025-10-06T14:23:47Z | 376 | 1 | null | [
"tensorboard",
"safetensors",
"whisper",
"generated_from_trainer",
"ar",
"dataset:tarteel-ai/everyayah",
"dataset:tarteel-ai/EA-UD",
"base_model:openai/whisper-small",
"base_model:finetune:openai/whisper-small",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2025-10-05T11:21:36Z | <!-- 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 Small ar-quran
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) ... | [
{
"start": 416,
"end": 419,
"text": "Wer",
"label": "evaluation metric",
"score": 0.9510424137115479
},
{
"start": 703,
"end": 716,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.603593111038208
},
{
"start": 825,
"end": 832,
"text": "ep... |
TheBloke/WizardLM-7B-uncensored-GGUF | TheBloke | 2023-09-27T12:52:40Z | 11,226 | 55 | transformers | [
"transformers",
"gguf",
"llama",
"uncensored",
"dataset:ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered",
"base_model:QuixiAI/WizardLM-7B-Uncensored",
"base_model:quantized:QuixiAI/WizardLM-7B-Uncensored",
"license:other",
"region:us"
] | null | 2023-09-19T23:17:28Z | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<d... | [] |
DanyDA/unsloth_Qwen3-Coder-Next-Q4_K_M-GGUF-SPLIT | DanyDA | 2026-03-11T11:22:34Z | 130 | 1 | null | [
"gguf",
"qwen3_next",
"unsloth",
"qwen",
"qwen3",
"text-generation",
"base_model:Qwen/Qwen3-Coder-Next",
"base_model:quantized:Qwen/Qwen3-Coder-Next",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-02-25T14:26:50Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<h1 style="margin-top: 0rem;">To Run Qwen3-Coder-Next locally - <a href="https://unsloth.ai/docs/models/qwen3-coder-next">Read our Guide!</a></h1>
</p>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://unsloth.ai/docs/basics/unsloth-dynamic-... | [
{
"start": 94,
"end": 110,
"text": "Qwen3-Coder-Next",
"label": "benchmark name",
"score": 0.8306756615638733
},
{
"start": 161,
"end": 177,
"text": "qwen3-coder-next",
"label": "benchmark name",
"score": 0.8709184527397156
},
{
"start": 876,
"end": 892,
"... |
microsoft/llava-med-v1.5-mistral-7b | microsoft | 2025-11-24T17:31:13Z | 14,775 | 122 | transformers | [
"transformers",
"safetensors",
"llava_mistral",
"text-generation",
"image-text-to-text",
"medical",
"vision",
"conversational",
"arxiv:2306.00890",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2024-05-14T15:53:59Z | # LLaVA-Med v1.5, using [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) as LLM for a better commercial license
Large Language and Vision Assistant for bioMedicine (i.e., “LLaVA-Med”) is a large language and vision model trained using a curriculum learning method for adap... | [
{
"start": 637,
"end": 644,
"text": "PathVQA",
"label": "benchmark name",
"score": 0.6215424537658691
}
] |
lmstudio-community/Qwen3-VL-2B-Thinking-MLX-8bit | lmstudio-community | 2025-10-31T18:11:31Z | 311 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"mlx",
"conversational",
"base_model:Qwen/Qwen3-VL-2B-Thinking",
"base_model:quantized:Qwen/Qwen3-VL-2B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"8-bit",
"region:us"
] | image-text-to-text | 2025-10-31T18:11:07Z | ## 💫 Community Model> Qwen3-VL-2B-Thinking by Qwen
_👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)_.
**Model creator**: [Qwen](https://huggingface.co/Qwen)<br>
**Original... | [] |
Pacific-Prime/chat-node | Pacific-Prime | 2026-03-06T23:46:51Z | 135 | 1 | complexity-deep | [
"complexity-deep",
"safetensors",
"transformer",
"moe",
"token-routed",
"inl-dynamics",
"mu-guided",
"causal-lm",
"chat",
"conversational",
"sft",
"text-generation",
"en",
"fr",
"base_model:Pacific-Prime/pacific-prime",
"base_model:finetune:Pacific-Prime/pacific-prime",
"license:cc-b... | text-generation | 2026-02-12T12:17:07Z | # Chat-Node 1.5B
> **Conversational chat model built on Pacific-Prime 1.5B with Mu-Guided Attention and Token-Routed MLP**
Chat-Node is a conversational variant of [Pacific-Prime 1.5B](https://huggingface.co/Pacific-Prime/pacific-prime), fine-tuned for general-purpose chat using the Alpaca-Cleaned dataset. Part of th... | [
{
"start": 57,
"end": 75,
"text": "Pacific-Prime 1.5B",
"label": "benchmark name",
"score": 0.8169397115707397
},
{
"start": 167,
"end": 185,
"text": "Pacific-Prime 1.5B",
"label": "benchmark name",
"score": 0.7504873871803284
},
{
"start": 534,
"end": 552,
... |
ilsp/Meltemi-7B-Instruct-v1-GGUF | ilsp | 2024-04-18T07:38:22Z | 122 | 16 | gguf | [
"gguf",
"mistral",
"finetuned",
"quantized",
"GGUF",
"el",
"en",
"base_model:ilsp/Meltemi-7B-Instruct-v1",
"base_model:finetune:ilsp/Meltemi-7B-Instruct-v1",
"license:apache-2.0",
"region:us"
] | null | 2024-03-27T08:22:47Z | # Meltemi 7B Instruct Quantized models
## Description
In this repository you can find quantised GGUF variants of [Meltemi-7B-Instruct-v1](https://huggingface.co/ilsp/Meltemi-7B-Instruct-v1) model, created using [llama.cp... | [] |
nvidia/AceMath-72B-RM | nvidia | 2025-01-17T07:31:09Z | 1,333 | 10 | null | [
"safetensors",
"nvidia",
"AceMath",
"math",
"pytorch",
"text-generation",
"en",
"arxiv:2412.15084",
"license:cc-by-nc-4.0",
"region:us"
] | text-generation | 2025-01-14T04:41:04Z | ## Introduction
We introduce AceMath, a family of frontier models designed for mathematical reasoning. The models in AceMath family, including AceMath-1.5B/7B/72B-Instruct and AceMath-7B/72B-RM, are <b>Improved using Qwen</b>.
The AceMath-1.5B/7B/72B-Instruct models excel at solving English mathematical problems using... | [
{
"start": 608,
"end": 626,
"text": "Bradley-Terry loss",
"label": "evaluation metric",
"score": 0.8617976307868958
},
{
"start": 770,
"end": 782,
"text": "scalar score",
"label": "evaluation metric",
"score": 0.8635464906692505
}
] |
radicalnumerics/RND1-Base-0910 | radicalnumerics | 2025-11-21T19:04:25Z | 234 | 62 | transformers | [
"transformers",
"safetensors",
"rnd1",
"text-generation",
"conversational",
"custom_code",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-10-04T15:08:31Z | <center>
<div style="text-align: center;">
<img
src="https://raw.githubusercontent.com/RadicalNumerics/assets/refs/heads/main/svg/rn-logo-desktop-vector-animated.svg"
alt="Radical Numerics"
style="width: 100%; max-width: 66%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"... | [] |
mradermacher/Clado-BrowserOS-Action-i1-GGUF | mradermacher | 2026-02-19T12:23:26Z | 218 | 2 | transformers | [
"transformers",
"gguf",
"qwen3-vl",
"web-agent",
"rl",
"reinforcement-learning",
"browser",
"browseros",
"en",
"base_model:DavidBShan/Clado-BrowserOS-Action",
"base_model:quantized:DavidBShan/Clado-BrowserOS-Action",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
... | reinforcement-learning | 2026-02-14T10:07:27Z | ## 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_... | [] |
nvidia/bigvgan_v2_44khz_128band_512x | nvidia | 2024-09-05T03:35:39Z | 1,023,571 | 69 | PyTorch | [
"PyTorch",
"neural-vocoder",
"audio-generation",
"audio-to-audio",
"arxiv:2206.04658",
"license:mit",
"region:us"
] | audio-to-audio | 2024-07-15T14:10:28Z | ## BigVGAN: A Universal Neural Vocoder with Large-Scale Training
#### Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon
[[Paper]](https://arxiv.org/abs/2206.04658) - [[Code]](https://github.com/NVIDIA/BigVGAN) - [[Showcase]](https://bigvgan-demo.github.io/) - [[Project Page]](https://research.nvid... | [] |
florence-community/Florence-2-large-ft | florence-community | 2025-09-11T12:35:50Z | 1,395 | 5 | transformers | [
"transformers",
"safetensors",
"florence2",
"image-text-to-text",
"vision",
"arxiv:2311.06242",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-09-11T11:57:24Z | > [!NOTE]
> This is the repository for official transformers converted checkpoint of Microsoft's Florence model.
# Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
## Model Summary
**This is a continued pretrained version of Florence-2-large model with 4k context length, only 0.1B sample... | [] |
Babsie/Crow_Qwen9B_OpusUCH | Babsie | 2026-03-13T08:51:29Z | 361 | 2 | null | [
"safetensors",
"gguf",
"qwen3_5",
"agent",
"en",
"zh",
"ru",
"es",
"fr",
"it",
"ja",
"ko",
"af",
"de",
"ar",
"tr",
"is",
"pl",
"sw",
"sv",
"nl",
"he",
"id",
"uk",
"fa",
"pa",
"pt",
"ms",
"fi",
"el",
"dataset:crownelius/Creative_Writing_ShareGPT_Enhanced",
... | null | 2026-03-12T20:04:15Z | ## This is a Lab Copy for developmental purposes.
If you want to download, please go to [crownelius/Crow-9B-Opus-4.6-Distill-Heretic_Qwen3.5](https://huggingface.co/crownelius/Crow-9B-Opus-4.6-Distill-Heretic_Qwen3.5)
-----------
[<img src="https://huggingface.co/crownelius/Crow-9B-Opus-4.6-Distill-Heretic_Qwen3.5/r... | [] |
z-lab/Qwen3.5-35B-A3B-PARO | z-lab | 2026-05-03T04:05:34Z | 221 | 7 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"mlx",
"conversational",
"arxiv:2511.10645",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"paroquant",
"region:us"
] | image-text-to-text | 2026-03-16T16:00:05Z | # z-lab/Qwen3.5-35B-A3B-PARO
**Pairwise Rotation Quantization for Efficient Reasoning LLM Inference**
<p>
<a href="https://arxiv.org/abs/2511.10645"><img src="https://img.shields.io/badge/arXiv-2511.10645-b31b1b.svg" alt="Paper"></a>
<a href="https://paroquant.z-lab.ai"><img src="https://img.shields.io/badge/Blog... | [] |
mradermacher/Heretic-qp-1B-i1-GGUF | mradermacher | 2026-01-02T19:34:33Z | 101 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"en",
"base_model:hereticness/Heretic-qp-1B",
"base_model:quantized:hereticness/Heretic-qp-1B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-02T18:57:47Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 617,
"end": 638,
"text": "Heretic-qp-1B-i1-GGUF",
"label": "benchmark name",
"score": 0.715207040309906
},
{
"start": 1191,
"end": 1212,
"text": "Heretic-qp-1B-i1-GGUF",
"label": "benchmark name",
"score": 0.6406233906745911
},
{
"start": 1363,
"end... |
Langurmonkey/gaiasky-qwen-3.5-gguf | Langurmonkey | 2026-03-25T07:14:47Z | 903 | 1 | unsloth | [
"unsloth",
"gguf",
"qwen3_5",
"gaiasky",
"astronomy",
"celestial-mechanics",
"code",
"en",
"dataset:Langurmonkey/gaiasky-training-dataset",
"base_model:unsloth/Qwen3.5-9B",
"base_model:quantized:unsloth/Qwen3.5-9B",
"license:mpl-2.0",
"co2_eq_emissions",
"endpoints_compatible",
"region:u... | null | 2026-03-09T13:20:24Z | # Gaia Sky expert (Qwen 3.5 fine-tuned)
This repository hosts specialized GGUF models fine-tuned for [Gaia Sky](https://gaiasky.space). It is trained on general Gaia Sky knowledge, its source code, the [documentation](https://docs.gaiasky.space), and [scripting API](https://gaia.ari.uni-heidelberg.de/gaiasky/docs/java... | [] |
mradermacher/XORTRON-i1-GGUF | mradermacher | 2026-04-18T20:57:28Z | 5,102 | 2 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"dataset:darkc0de/Xortron.Config.Dataset.New.2026",
"base_model:darkc0de/XORTRON",
"base_model:quantized:darkc0de/XORTRON",
"license:wtfpl",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational... | null | 2026-03-31T15:49:49Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
2Noise/ChatTTS | 2Noise | 2024-10-22T08:26:20Z | 1,389 | 1,642 | chat_tts | [
"chat_tts",
"safetensors",
"text-to-audio",
"license:cc-by-nc-4.0",
"region:us"
] | text-to-audio | 2024-05-25T06:07:38Z | **We are also training larger-scale models and need computational power and data support. If you can provide assistance, please contact OPEN-SOURCE@2NOISE.COM. Thank you very much.**
## Clone the Repository
First, clone the Git repository:
```bash
git clone https://github.com/2noise/ChatTTS.git
```
## Model Inference... | [] |
filvyb/Qwen3.5-9B-Claude-4.6-HighIQ-THINKING-HERETIC-UNCENSORED | filvyb | 2026-03-04T17:25:39Z | 3,599 | 3 | transformers | [
"transformers",
"gguf",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres",
"story",
"writing",
"vivid prosing",
... | image-text-to-text | 2026-03-04T11:33:18Z | <h2>Qwen3.5-9B-Claude-4.6-HighIQ-THINKING-HERETIC-UNCENSORED</h2>
Fine tune via Unsloth of Qwen 3.5 9B dense model using Claude 4.6 large distill dataset on local hardware.
This has VASTLY improved the thinking generation (and benchmarks) of this model replacing "Qwen 3.5" thinking with "Claude 4.6" thinking.
Every ... | [
{
"start": 291,
"end": 301,
"text": "Claude 4.6",
"label": "benchmark name",
"score": 0.6263176798820496
},
{
"start": 829,
"end": 866,
"text": "Qwen3.5-9B-Claude-4.6-HighIQ-INSTRUCT",
"label": "benchmark name",
"score": 0.6566035747528076
},
{
"start": 919,
"... |
mradermacher/gpt-oss-46b-i1-GGUF | mradermacher | 2025-12-18T18:40:20Z | 116 | 1 | transformers | [
"transformers",
"gguf",
"vllm",
"en",
"base_model:Jo1uck/gpt-oss-46b",
"base_model:quantized:Jo1uck/gpt-oss-46b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-18T13:22:15Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: MXFP4_MOE 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 ... | [] |
neurlang/ipa-whisper-base | neurlang | 2025-04-14T20:52:51Z | 341 | 22 | null | [
"safetensors",
"whisper",
"audio",
"automatic-speech-recognition",
"IPA",
"phonetic",
"en",
"zh",
"de",
"es",
"ru",
"ko",
"fr",
"ja",
"pt",
"tr",
"pl",
"ca",
"nl",
"ar",
"sv",
"it",
"id",
"hi",
"fi",
"vi",
"he",
"uk",
"el",
"ms",
"cs",
"ro",
"da",
"h... | automatic-speech-recognition | 2025-04-11T17:32:24Z | # Whisper IPA
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Fine-tuned on 15000 wavs
of labelled synthetic IPA data (generated using the goruut 0.6.2 phonemizer), Whisper models demonstrate a strong ability
to generalise to many languages, datasets and domains **without... | [] |
Nurburgring/BEYOND_REALITY_Z_IMAGE | Nurburgring | 2026-02-10T11:56:44Z | 4,238 | 142 | diffusers | [
"diffusers",
"art",
"text-to-image",
"zh",
"base_model:Tongyi-MAI/Z-Image-Turbo",
"base_model:finetune:Tongyi-MAI/Z-Image-Turbo",
"license:apache-2.0",
"region:us"
] | text-to-image | 2025-12-21T08:48:06Z | tags:
- 人像，摄影，
frameworks: PyTorch
---
# BEYOND REALITY Z IMAGE 3.0
[](https://modelscope.cn/models/[YourUsername]/BEYOND-REALITY-Z-IMAGE-1.0/summary)
**淡妆浓抹总相宜——一个追求胶片美学与极致纹理的Z时代人像模型**
SUPER Z 淡妆浓抹 V3.0 REBUIL... | [] |
SII-GAIR-NLP/davinci-llm-model | SII-GAIR-NLP | 2026-04-02T05:57:18Z | 852 | 21 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"pretraining-science",
"conversational",
"arxiv:2603.27164",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-26T14:00:06Z | ## Overview
**daVinci-LLM-3B** is a 3B-parameter base language model presented in [daVinci-LLM: Towards the Science of Pretraining](https://huggingface.co/papers/2603.27164). This project aims to make the pretraining process a transparent and reproducible scientific endeavor.
We release not only the final weights bu... | [] |
Jackrong/Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUF | Jackrong | 2026-04-06T02:14:12Z | 62,451 | 97 | null | [
"gguf",
"qwen3_5",
"unsloth",
"qwen",
"qwen3.5",
"reasoning",
"chain-of-thought",
"lora",
"image-text-to-text",
"en",
"zh",
"ko",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"dataset:Roman1111111/claude-opus-4.6-10000x",
"base_model:Q... | image-text-to-text | 2026-03-18T02:23:04Z | # 🌟 Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-v2
🔥 **Update (April 5):** I’ve released the complete training notebook, codebase, and a comprehensive PDF guide to help beginners and enthusiasts understand and reproduce this model's fine-tuning process.
> ❤️ Special thanks to the [**Unsloth**](https://unsloth.ai... | [] |
kyutai/hibiki-zero-3b-pytorch-bf16 | kyutai | 2026-02-12T15:35:39Z | 723 | 44 | null | [
"hibiki",
"audio-to-audio",
"fr",
"es",
"pt",
"de",
"en",
"arxiv:2410.00037",
"arxiv:2502.03382",
"arxiv:2602.11072",
"base_model:kyutai/hibiki-zero-3b-pytorch-bf16",
"base_model:finetune:kyutai/hibiki-zero-3b-pytorch-bf16",
"region:us"
] | audio-to-audio | 2026-02-09T15:58:50Z | # Hibiki-Zero
[Hibiki-Zero](https://github.com/kyutai-labs/hibiki-zero) is a model for **simultaneous speech translation**. Traditional approaches for building simultaneous translation systems rely on supervised training with word-level aligned data between the source and the target content. Hibiki-Zero eliminates the... | [] |
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