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 |
|---|---|---|---|---|---|---|---|---|---|---|
GOBA-AI-Labs/PrunedHub-Qwen3-Coder-Next-50pct | GOBA-AI-Labs | 2026-02-23T06:25:04Z | 255 | 2 | null | [
"gguf",
"moe",
"pruning",
"expert-pruning",
"mixture-of-experts",
"goba-ai-labs",
"prunedhub",
"moe-stream",
"layer-adaptive-pruning",
"coding",
"reasoning",
"text-generation",
"en",
"ja",
"zh",
"ko",
"base_model:Qwen/Qwen3-Coder-Next",
"base_model:quantized:Qwen/Qwen3-Coder-Next",... | text-generation | 2026-02-21T13:33:08Z | # PrunedHub Qwen3-Coder-Next-50pct — MoE-Stream Edition
**50% Expert Pruning — 80B → 24 GB** while retaining 93.5% of original quality.
Half of all MoE experts removed from [Qwen3-Coder-Next](https://huggingface.co/Qwen/Qwen3-Coder-Next) using GOBA-AI-Labs' proprietary calibration-based expert optimization, achieving... | [
{
"start": 12,
"end": 34,
"text": "Qwen3-Coder-Next-50pct",
"label": "benchmark name",
"score": 0.8773736357688904
},
{
"start": 176,
"end": 192,
"text": "Qwen3-Coder-Next",
"label": "benchmark name",
"score": 0.8950157165527344
},
{
"start": 217,
"end": 221,
... |
Naphula/Goetia-24B-v1.2-GGUF | Naphula | 2026-01-26T13:22:49Z | 122 | 4 | transformers | [
"transformers",
"gguf",
"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",
"vivid writin... | null | 2026-01-06T18:58:03Z | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/68e840caa318194c44ec2a04/KcjosKamYjk9Qm18mAGQW.mpga"></audio>
> [!CAUTION]
> <span style="color:red; font-weight:bold">⚠️ Warning:</span> This model can produce narratives and RP that contain violent and graphic erotic content. Adjust your syst... | [] |
openGPT-X/Teuken-7B-base-v0.6 | openGPT-X | 2025-07-28T12:28:29Z | 1,161 | 10 | transformers | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"de",
"bg",
"cs",
"da",
"el",
"en",
"es",
"et",
"fi",
"fr",
"ga",
"hr",
"hu",
"it",
"lt",
"lv",
"mt",
"nl",
"pl",
"pt",
"ro",
"sl",
"sv",
"sk",
"arxiv:2410.08928",
"arxiv:2410.03730",
... | text-generation | 2024-12-10T12:58:17Z | # Model Card for Teuken 7B-base-v0.6
[Teuken 7B-base-v0.6](https://huggingface.co/openGPT-X/Teuken-7B-base-v0.6) is a 7B parameter multilingual large language model (LLM) pre-trained with 6T tokens within the research project [OpenGPT-X](https://opengpt-x.de).
### Model Description
<!-- Provide a longer summary of... | [] |
VladShash/deepseek-math-7b-lean-prover-dpo-olmo-3 | VladShash | 2026-04-13T07:22:11Z | 3,641 | 3 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"arxiv:2305.18290",
"base_model:formalmathatepfl/deepseek-math-7B-finetuned",
"base_model:finetune:formalmathatepfl/deepseek-math-7B-finetuned",
"text-generation-inference",
"... | text-generation | 2026-03-31T11:12:18Z | # Model Card for olmo-3-7b-lean-prover-dpo
This model is a fine-tuned version of [formalmathatepfl/deepseek-math-7B-finetuned](https://huggingface.co/formalmathatepfl/deepseek-math-7B-finetuned).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pi... | [] |
intfloat/multilingual-e5-base | intfloat | 2026-04-02T02:13:31Z | 2,505,118 | 344 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"onnx",
"safetensors",
"openvino",
"xlm-roberta",
"mteb",
"Sentence Transformers",
"sentence-similarity",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"e... | sentence-similarity | 2023-05-19T10:26:40Z | ## Multilingual-E5-base
[Multilingual E5 Text Embeddings: A Technical Report](https://arxiv.org/pdf/2402.05672).
Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei, arXiv 2024
This model has 12 layers and the embedding size is 768.
## Usage
Below is an example to encode queries and passage... | [] |
calcuis/qwen-image-edit-gguf | calcuis | 2025-09-15T00:42:19Z | 1,100 | 25 | null | [
"gguf",
"gguf-connector",
"gguf-node",
"image-to-image",
"base_model:Qwen/Qwen-Image-Edit",
"base_model:quantized:Qwen/Qwen-Image-Edit",
"license:apache-2.0",
"region:us"
] | image-to-image | 2025-08-19T13:14:02Z | ## **qwen-image-edit-gguf**
- use 8-step (lite-lora auto applied); save up to 70% loading time
- run it with `gguf-connector`; simply execute the command below in console/terminal
```
ggc q6
```
>
>GGUF file(s) available. Select which one to use:
>
>1. qwen-image-edit-iq4_nl.gguf
>2. qwen-image-edit-q2_k.gguf
>3. qwen-... | [] |
google/siglip-base-patch16-224 | google | 2024-09-26T08:20:18Z | 1,271,219 | 80 | transformers | [
"transformers",
"pytorch",
"safetensors",
"siglip",
"zero-shot-image-classification",
"vision",
"arxiv:2303.15343",
"arxiv:2209.06794",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2023-09-30T18:22:03Z | # SigLIP (base-sized model)
SigLIP model pre-trained on WebLi at resolution 224x224. It was introduced in the paper [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) by Zhai et al. and first released in [this repository](https://github.com/google-research/big_vision).
Disclaimer: The t... | [] |
LGAI-EXAONE/EXAONE-4.0-1.2B-GGUF | LGAI-EXAONE | 2025-08-01T05:27:41Z | 1,201 | 41 | transformers | [
"transformers",
"gguf",
"lg-ai",
"exaone",
"exaone-4.0",
"text-generation",
"conversational",
"en",
"ko",
"es",
"arxiv:2507.11407",
"base_model:LGAI-EXAONE/EXAONE-4.0-1.2B",
"base_model:quantized:LGAI-EXAONE/EXAONE-4.0-1.2B",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-07-11T07:03:24Z | <p align="center">
<img src="assets/EXAONE_Symbol+BI_3d.png", width="300", style="margin: 40 auto;">
🎉 License Updated! We are pleased to announce our more flexible licensing terms 🤗
<br>✈️ Try on <a href="https://friendli.ai/suite/~/serverless-endpoints/LGAI-EXAONE/EXAONE-4.0-32B/overview">FriendliAI</a> (licensed u... | [] |
drbaph/s2-pro-fp8 | drbaph | 2026-03-12T20:37:05Z | 1,132 | 12 | transformers | [
"transformers",
"safetensors",
"fish_qwen3_omni",
"text-to-speech",
"instruction-following",
"multilingual",
"quantized",
"fp8",
"comfyui",
"comfy",
"multi-turn",
"multi-speaker",
"sglang",
"zh",
"en",
"ja",
"ko",
"es",
"pt",
"ar",
"ru",
"fr",
"de",
"sv",
"it",
"tr"... | text-to-speech | 2026-03-11T23:30:03Z | # Fish Audio S2 Pro — FP8 Weight-Only Quantized
**FP8 quantized version of [fishaudio/s2-pro](https://huggingface.co/fishaudio/s2-pro).**
[**Original Model**](https://huggingface.co/fishaudio/s2-pro) | [**Technical Report**](https://huggingface.co/papers/2603.08823) | [**GitHub**](https://github.com/fishaudio/fish-sp... | [] |
mradermacher/L0-PolyCore-4B-Base-i1-GGUF | mradermacher | 2026-03-01T10:56:44Z | 1,479 | 1 | transformers | [
"transformers",
"gguf",
"code",
"c",
"clang",
"cpp",
"c++",
"qlora",
"cpt",
"en",
"base_model:luminousresearch/L0-PolyCore-4B-Base",
"base_model:quantized:luminousresearch/L0-PolyCore-4B-Base",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-01T07:43:42Z | ## 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_... | [
{
"start": 628,
"end": 655,
"text": "L0-PolyCore-4B-Base-i1-GGUF",
"label": "benchmark name",
"score": 0.6342703104019165
}
] |
tdelard/Qwen3-4B-DBT-Instruct-GGUF | tdelard | 2026-03-20T16:08:15Z | 279 | 1 | null | [
"gguf",
"qwen3",
"dbt",
"sql",
"text-to-sql",
"llama.cpp",
"unsloth",
"conversational",
"data-engineering",
"en",
"base_model:unsloth/Qwen3-4B-Instruct-2507-unsloth-bnb-4bit",
"base_model:quantized:unsloth/Qwen3-4B-Instruct-2507-unsloth-bnb-4bit",
"license:apache-2.0",
"endpoints_compatibl... | null | 2026-03-20T10:31:50Z | # Qwen3-4B-DBT-Instruct — GGUF
A fine-tuned version of [unsloth/Qwen3-4B-Instruct-2507-unsloth-bnb-4bit](https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507-unsloth-bnb-4bit) (the pre-quantized 4-bit Unsloth variant of Qwen3-4B-Instruct) specialized in converting natural language business questions into complete, mu... | [] |
ibm-granite/granitelib-rag-r1.0 | ibm-granite | 2026-05-01T17:32:29Z | 24,293 | 20 | granite-library | [
"granite-library",
"safetensors",
"gguf",
"en",
"base_model:ibm-granite/granite-4.0-micro",
"base_model:quantized:ibm-granite/granite-4.0-micro",
"license:apache-2.0",
"region:us"
] | null | 2025-12-08T18:47:53Z | # Granite RAG Library
The Granite RAG Library includes six adapters implemented as LoRA adapters for `ibm-granite/granite-4.0-micro`,
each of which expects as input a (single-turn or multi-turn) conversation between a user and an AI assistant,
and most of which also expect a set of grounding passages.
Each adapter ... | [] |
PaddlePaddle/PP-DocLayoutV3_safetensors | PaddlePaddle | 2026-04-03T08:56:33Z | 308,250 | 22 | transformers | [
"transformers",
"safetensors",
"pp_doclayout_v3",
"object-detection",
"PaddleOCR",
"PaddlePaddle",
"image-segmentation",
"ocr",
"layout",
"layout_detection",
"en",
"zh",
"multilingual",
"arxiv:2601.21957",
"base_model:PaddlePaddle/PP-DocLayoutV3",
"base_model:finetune:PaddlePaddle/PP-D... | object-detection | 2026-01-20T09:56:56Z | <div align="center">
<h1 align="center">
Layout Analysis Module of PaddleOCR-VL-1.5
</h1>
[](https://github.com/PaddlePaddle/PaddleOCR)
[![HuggingFace](https://img.shields.io/badge/HuggingFace-black.svg?logo=data:image/png;base64,iVBORw0K... | [] |
Salesforce/blip2-flan-t5-xxl | Salesforce | 2025-02-03T06:35:28Z | 1,967 | 94 | transformers | [
"transformers",
"pytorch",
"safetensors",
"blip-2",
"visual-question-answering",
"vision",
"image-to-text",
"image-captioning",
"image-text-to-text",
"en",
"arxiv:2301.12597",
"arxiv:2210.11416",
"license:mit",
"region:us"
] | image-text-to-text | 2023-02-09T09:10:14Z | # BLIP-2, Flan T5-xxl, pre-trained only
BLIP-2 model, leveraging [Flan T5-xxl](https://huggingface.co/google/flan-t5-xxl) (a large language model).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv.org/abs/2301.12597) b... | [] |
Qwen/Qwen2.5-14B | Qwen | 2024-09-20T07:58:02Z | 143,741 | 146 | null | [
"safetensors",
"qwen2",
"text-generation",
"conversational",
"en",
"arxiv:2407.10671",
"license:apache-2.0",
"region:us"
] | text-generation | 2024-09-15T12:18:18Z | # Qwen2.5-14B
## Introduction
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
- Significantly **more knowledge** ... | [] |
unsloth/Kimi-K2.5-GGUF | unsloth | 2026-01-28T23:05:21Z | 45,151 | 240 | transformers | [
"transformers",
"gguf",
"unsloth",
"kimi_k25",
"base_model:moonshotai/Kimi-K2.5",
"base_model:quantized:moonshotai/Kimi-K2.5",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-27T07:02:00Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<h1 style="margin-top: 0rem;">See how to run Kimi-K2.5 locally - <a href="https://docs.unsloth.ai/models/kimi-k2.5">Read our Guide!</a></h1>
</p>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gg... | [] |
mradermacher/Mistral-Large-3-675B-Instruct-2512-i1-GGUF | mradermacher | 2025-12-25T05:00:08Z | 247 | 1 | transformers | [
"transformers",
"gguf",
"mistral-common",
"compressed-tensors",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"base_model:mistralai/Mistral-Large-3-675B-Instruct-2512",
"base_model:quantized:mistralai/Mistral-Large-3-675B-Instruct-2512",
"license:apache-2.0",
... | null | 2025-12-09T20:12:50Z | ## 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_... | [] |
bartowski/MiniMaxAI_MiniMax-M2-GGUF | bartowski | 2025-11-01T18:06:20Z | 496 | 11 | null | [
"gguf",
"text-generation",
"base_model:MiniMaxAI/MiniMax-M2",
"base_model:quantized:MiniMaxAI/MiniMax-M2",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-10-30T01:21:54Z | ## Llamacpp imatrix Quantizations of MiniMax-M2 by MiniMaxAI
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/b6907">b6907</a> for quantization.
Original model: https://huggingface.co/MiniMaxAI/MiniMax-M2
All quants made using im... | [
{
"start": 37,
"end": 47,
"text": "MiniMax-M2",
"label": "benchmark name",
"score": 0.6072936654090881
}
] |
NYUAD-ComNets/NYUAD_AI-generated_images_detector | NYUAD-ComNets | 2025-01-13T06:44:06Z | 704 | 10 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"license:apache-2.0",
"model-index",
"region:us"
] | image-classification | 2024-04-10T14:17:49Z | <!-- 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. -->
# AI-generated_images_detector
This model achieves the following results on the evaluation set:
- Loss: 0.0987
- Accuracy: 0.9736
... | [
{
"start": 293,
"end": 299,
"text": "0.0987",
"label": "evaluation metric",
"score": 0.7589836120605469
},
{
"start": 302,
"end": 310,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.8431870341300964
},
{
"start": 312,
"end": 318,
"text": "0.9... |
mradermacher/Saiga-llama3-L3-Stheno-8B-v3.2-GGUF | mradermacher | 2025-08-26T11:45:42Z | 692 | 2 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"RolePlay",
"ru",
"en",
"base_model:vladlen32230/Saiga-llama3-L3-Stheno-8B-v3.2",
"base_model:quantized:vladlen32230/Saiga-llama3-L3-Stheno-8B-v3.2",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-26T03:25:38Z | ## 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... | [] |
hkunlp/instructor-xl | hkunlp | 2023-01-21T06:33:27Z | 17,223 | 584 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"t5",
"text-embedding",
"embeddings",
"information-retrieval",
"beir",
"text-classification",
"language-model",
"text-clustering",
"text-semantic-similarity",
"text-evaluation",
"prompt-retrieval",
"text-reranking",
"feature-extraction",
"sentence-si... | sentence-similarity | 2022-12-20T06:07:18Z | # hkunlp/instructor-xl
We introduce **Instructor**👨🏫, an instruction-finetuned text embedding model that can generate text embeddings tailored to any task (e.g., classification, retrieval, clustering, text evaluation, etc.) and domains (e.g., science, finance, etc.) ***by simply providing the task instruction, witho... | [] |
IbrahimSalah/Arabic-TTS-Spark | IbrahimSalah | 2025-11-27T10:05:58Z | 3,092 | 23 | null | [
"safetensors",
"spark-tts",
"speech",
"arabic",
"spark",
"tts",
"text-to-speech",
"custom_code",
"ar",
"base_model:SparkAudio/Spark-TTS-0.5B",
"base_model:finetune:SparkAudio/Spark-TTS-0.5B",
"license:fair-noncommercial-research-license",
"region:us"
] | text-to-speech | 2025-11-10T21:54:35Z | # Spark-TTS Arabic
## نموذج تحويل النص إلى كلام باللغة العربية
Arabic text-to-speech model fine-tuned on 300 hours of clean Arabic audio data. Delivers consistent, high-quality speech synthesis for Modern Standard Arabic with full diacritization.
## Model Details
**Training Data:** ~300 hours of clean Arabic audio ... | [] |
emillykkejensen/mmBERTscandi-base-embedding | emillykkejensen | 2025-09-23T11:45:06Z | 516 | 2 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"modernbert",
"sentence-similarity",
"feature-extraction",
"dense",
"generated_from_trainer",
"dataset_size:958249",
"loss:CachedMultipleNegativesRankingLoss",
"da",
"no",
"sw",
"sv",
"dataset:DDSC/nordic-embedding-training-data",
"arxiv:1908.10084... | sentence-similarity | 2025-09-23T11:43:24Z | # mmBERTscandi-base-embedding
mmBERTscandi-base-embedding is finetuned on the Scandinavian (Danish, Norwegian, Swedish) text embeddings dataset from [DDSC](https://huggingface.co/DDSC) ([nordic-embedding-training-data](https://huggingface.co/datasets/DDSC/nordic-embedding-training-data)) using [jonasaise/scandmmBERT-b... | [] |
Disty0/GLM-Image-SDNQ-4bit-dynamic | Disty0 | 2026-01-15T11:40:05Z | 461 | 13 | diffusers | [
"diffusers",
"safetensors",
"sdnq",
"4-bit",
"glm-image",
"base_model:zai-org/GLM-Image",
"base_model:quantized:zai-org/GLM-Image",
"license:mit",
"diffusers:GlmImagePipeline",
"region:us"
] | text-to-image | 2026-01-14T12:34:23Z | Dynamic 4 bit quantization of [zai-org/GLM-Image](https://huggingface.co/zai-org/GLM-Image) using [SDNQ](https://github.com/vladmandic/sdnext/wiki/SDNQ-Quantization).
This model uses per layer fine grained quantization.
What dtype to use for a layer is selected dynamically by trial and error until the std normaliz... | [] |
mradermacher/EVisRAG-3B-i1-GGUF | mradermacher | 2025-12-04T08:27:51Z | 115 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:openbmb/EVisRAG-Train",
"base_model:Boggy666/EVisRAG-3B",
"base_model:quantized:Boggy666/EVisRAG-3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-19T05:05:49Z | ## 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_... | [
{
"start": 611,
"end": 629,
"text": "EVisRAG-3B-i1-GGUF",
"label": "benchmark name",
"score": 0.733353316783905
},
{
"start": 703,
"end": 718,
"text": "EVisRAG-3B-GGUF",
"label": "benchmark name",
"score": 0.6525382995605469
},
{
"start": 840,
"end": 855,
... |
JamyDohrn/LTE-Qwen3-8B-Base | JamyDohrn | 2026-04-18T01:27:42Z | 483 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"en",
"dataset:Elliott/Openr1-Math-46k-8192",
"arxiv:2510.26109",
"base_model:Qwen/Qwen3-8B-Base",
"base_model:finetune:Qwen/Qwen3-8B-Base",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",... | text-generation | 2026-04-07T03:15:56Z | # LTE-Qwen3-8B-Base
[](https://arxiv.org/abs/2510.26109)
[](https://github.com/JamyDon/LTE)
[... | [
{
"start": 1322,
"end": 1339,
"text": "LTE-Qwen3-8B-Base",
"label": "benchmark name",
"score": 0.6181381940841675
}
] |
Lightricks/ltxv-spatial-upscaler-0.9.7 | Lightricks | 2025-07-08T10:13:49Z | 2,054 | 14 | diffusers | [
"diffusers",
"safetensors",
"ltx-video",
"video-upscaling",
"video-to-video",
"en",
"license:other",
"diffusers:LTXLatentUpsamplePipeline",
"region:us"
] | video-to-video | 2025-05-14T18:09:52Z | # LTX Video Spatial Upscaler 0.9.7 Model Card
This model card focuses on the LTX Video Spatial Upscaler 0.9.7, a component model designed to work in conjunction with the LTX-Video generation models.
The main LTX-Video codebase is available [here](https://github.com/Lightricks/LTX-Video).
LTX-Video is the first DiT-b... | [] |
google/siglip2-so400m-patch14-224 | google | 2025-02-21T04:03:56Z | 108,499 | 3 | transformers | [
"transformers",
"safetensors",
"siglip",
"vision",
"zero-shot-image-classification",
"arxiv:2502.14786",
"arxiv:2303.15343",
"arxiv:2209.06794",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2025-02-17T20:52:27Z | # SigLIP 2 So400m
[SigLIP 2](https://huggingface.co/papers/2502.14786) extends the pretraining objective of
[SigLIP](https://huggingface.co/papers/2303.15343) with prior, independently developed techniques
into a unified recipe, for improved semantic understanding, localization, and dense features.
## Intended uses
... | [] |
ethanolivertroy/HackIDLE-NIST-Coder-MLX-4bit | ethanolivertroy | 2026-04-23T03:36:53Z | 127 | 4 | mlx | [
"mlx",
"safetensors",
"qwen2",
"code",
"qwen-coder",
"cybersecurity",
"nist",
"fine-tuned",
"text-generation",
"conversational",
"en",
"base_model:mlx-community/Qwen2.5-Coder-7B-Instruct-4bit",
"base_model:quantized:mlx-community/Qwen2.5-Coder-7B-Instruct-4bit",
"license:apache-2.0",
"4-... | text-generation | 2025-10-14T13:34:00Z | # HackIDLE-NIST-Coder (MLX 4-bit)
This is the first MLX build of HackIDLE-NIST-Coder, a NIST-focused local model built from Qwen2.5-Coder-7B-Instruct and fine-tuned on a NIST cybersecurity corpus.
This repo is kept for reproducibility. For new testing, start with the v1.1 MLX build:
- [ethanolivertroy/HackIDLE-NIST-... | [] |
Motif-Technologies/Motif-2.6b-v1.1-LC | Motif-Technologies | 2025-08-18T07:39:52Z | 151 | 20 | null | [
"safetensors",
"Motif",
"text-generation-inference",
"conversational",
"motif",
"text-generation",
"custom_code",
"en",
"ko",
"arxiv:2508.09148",
"base_model:Motif-Technologies/Motif-2.6B",
"base_model:finetune:Motif-Technologies/Motif-2.6B",
"license:mit",
"region:us"
] | text-generation | 2025-07-21T13:11:25Z | *Last update: 14th august 2025*
# Introduction
**Motif 2.6B v1.1-LC** is an updated version of Motif 2.6B with support for a **16K context length**.
For more details, you can refer to our [technical report](https://arxiv.org/abs/2508.09148).
# Evaluation
### Comparison to Motif-2.6B v1.
The benchmarks and corresp... | [
{
"start": 637,
"end": 641,
"text": "MMLU",
"label": "benchmark name",
"score": 0.705223560333252
},
{
"start": 736,
"end": 744,
"text": "MMLU-Pro",
"label": "benchmark name",
"score": 0.6633355617523193
},
{
"start": 835,
"end": 840,
"text": "WinoG",
... |
caiovicentino1/Gemma-4-31B-it-PolarQuant-Q5 | caiovicentino1 | 2026-04-10T19:35:40Z | 1,034 | 3 | null | [
"gemma4",
"hlwq",
"polarquant",
"quantized",
"4-bit",
"kv-cache-compression",
"text-generation",
"conversational",
"arxiv:2502.02617",
"arxiv:2603.29078",
"base_model:google/gemma-4-31B-it",
"base_model:quantized:google/gemma-4-31B-it",
"license:apache-2.0",
"polarengine",
"region:us"
] | text-generation | 2026-04-02T22:20:54Z | > [!IMPORTANT]
> **Naming notice (2026-04-10).** The "PolarQuant" 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, ea... | [
{
"start": 54,
"end": 64,
"text": "PolarQuant",
"label": "benchmark name",
"score": 0.9150733351707458
},
{
"start": 119,
"end": 123,
"text": "HLWQ",
"label": "benchmark name",
"score": 0.6598049402236938
},
{
"start": 366,
"end": 376,
"text": "PolarQuant"... |
mradermacher/Nanbeige4.1-3B-GGUF | mradermacher | 2026-02-12T15:08:52Z | 11,040 | 36 | transformers | [
"transformers",
"gguf",
"llm",
"nanbeige",
"en",
"zh",
"base_model:Nanbeige/Nanbeige4.1-3B",
"base_model:quantized:Nanbeige/Nanbeige4.1-3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-12T00:41:09Z | ## 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... | [
{
"start": 512,
"end": 531,
"text": "Nanbeige4.1-3B-GGUF",
"label": "benchmark name",
"score": 0.6380324363708496
}
] |
google/metricx-24-hybrid-xl-v2p6-bfloat16 | google | 2024-12-12T16:37:04Z | 1,763 | 2 | null | [
"pytorch",
"mt5",
"license:apache-2.0",
"region:us"
] | null | 2024-12-11T05:19:27Z | # MetricX-24 (XL, bfloat16)
*This is not an officially supported Google product.*
> ℹ️ For the full-precision (float32) variant of this model, see [MetricX-24 (XL)](https://huggingface.co/google/metricx-24-hybrid-xl-v2p6).
**GitHub repository**: https://github.com/google-research/metricx
The repository contains the... | [
{
"start": 2,
"end": 12,
"text": "MetricX-24",
"label": "evaluation metric",
"score": 0.6835576891899109
},
{
"start": 150,
"end": 160,
"text": "MetricX-24",
"label": "evaluation metric",
"score": 0.6645545959472656
},
{
"start": 495,
"end": 505,
"text": "... |
nvidia/Qwen2.5-VL-7B-Instruct-NVFP4 | nvidia | 2025-12-06T00:51:49Z | 28,731 | 13 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"qwen2_5_vl",
"nvidia",
"ModelOpt",
"quantized",
"FP4",
"fp4",
"text-generation",
"conversational",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-VL-7B-Instruct",
"license:other",
"8-bit",
"modelopt",
"region:us"
] | text-generation | 2025-09-10T03:04:44Z | # Model Overview
## Description:
The NVIDIA Qwen2.5-VL-7B-Instruct-FP4 model is the quantized version of Alibaba's Qwen2.5-VL-7B-Instruct model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/Qwen/Qwen2.5-VL-7... | [] |
predictanythingsoftware/Love_Map-AI | predictanythingsoftware | 2026-04-13T12:30:53Z | 848 | 1 | null | [
"gguf",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-05T21:43:44Z | How to INSTALL LOVE MAP AI
https://www.youtube.com/watch?v=l78Xy9SCs50
Youtube Channel: https://www.youtube.com/@LoveMapV4
Facebook Page: https://www.facebook.com/profile.php?id=100064289343873
Install Love Map AI on your local computer now!
Download it here:
https://drive.google.com/drive/folders/1DeGIOXYmfvt5jD6E6k... | [] |
CAMeL-Lab/bert-base-arabic-camelbert-msa-sentiment | CAMeL-Lab | 2021-10-17T12:08:30Z | 973 | 8 | transformers | [
"transformers",
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-03-02T23:29:04Z | # CAMeLBERT MSA SA Model
## Model description
**CAMeLBERT MSA SA Model** is a Sentiment Analysis (SA) model that was built by fine-tuning the [CAMeLBERT Modern Standard Arabic (MSA)](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-msa/) model.
For the fine-tuning, we used the [ASTD](https://aclanthology.org... | [] |
ZuzeTt/Qwen3.5-4B-imatrix-GGUF | ZuzeTt | 2026-03-03T11:37:12Z | 11,185 | 1 | transformers | [
"transformers",
"gguf",
"image-text-to-text",
"base_model:Qwen/Qwen3.5-4B-Base",
"base_model:quantized:Qwen/Qwen3.5-4B-Base",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2026-03-02T13:15:58Z | Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b8185">b8185</a> for quantization.
Computing over 400 chunks, n_ctx=1024
# Qwen3.5-4B
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
[!... | [
{
"start": 201,
"end": 206,
"text": "n_ctx",
"label": "evaluation metric",
"score": 0.6098282337188721
}
] |
mykor/Midm-2.0-Base-Instruct-gguf | mykor | 2025-07-10T04:20:44Z | 101 | 4 | null | [
"gguf",
"KT",
"K-intelligence",
"Mi:dm",
"text-generation",
"en",
"ko",
"base_model:K-intelligence/Midm-2.0-Base-Instruct",
"base_model:quantized:K-intelligence/Midm-2.0-Base-Instruct",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-07-04T15:33:40Z | <p align="center">
<picture>
<img src="https://i.imgur.com/RdZhPeZ.png" width="45%" style="margin: 40px auto;">
</picture>
</p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/K-intelligence/mi-dm-20-6866406c301e5f45a6926af8">Mi:dm 2.0 Models</a> |
📜 <a href="https://github.com/K-int... | [] |
infly/inf-query-aligner | infly | 2026-01-05T07:45:15Z | 552 | 8 | null | [
"safetensors",
"qwen2",
"retrieval",
"query-rewriting",
"reinforcement-learning",
"en",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Instruct",
"license:apache-2.0",
"region:us"
] | reinforcement-learning | 2025-11-12T11:49:36Z | <h1 align="center">INF-Query-Aligner</h1>
<p align="center">
<a href="https://brightbenchmark.github.io/"><img src="https://img.shields.io/badge/BRIGHT_Benchmark-Rank_1st-8A2BE2" alt="Rank"></a>
<a href="https://huggingface.co/infly/inf-query-aligner"><img src="https://img.shields.io/badge/🤗%20Hugging%20Face-... | [
{
"start": 1445,
"end": 1461,
"text": "BRIGHT Benchmark",
"label": "benchmark name",
"score": 0.8970439434051514
},
{
"start": 1471,
"end": 1486,
"text": "brightbenchmark",
"label": "benchmark name",
"score": 0.6067399978637695
}
] |
Casual-Autopsy/vntl-llama3-8b-v2-imatrix-gguf | Casual-Autopsy | 2025-02-06T14:46:08Z | 163 | 2 | null | [
"gguf",
"translation",
"en",
"ja",
"base_model:lmg-anon/vntl-llama3-8b-v2-hf",
"base_model:quantized:lmg-anon/vntl-llama3-8b-v2-hf",
"endpoints_compatible",
"region:us",
"conversational"
] | translation | 2025-01-29T16:43:55Z | imatrix quants of [lmg-anon/vntl-llama3-8b-v2-hf](https://huggingface.co/lmg-anon/vntl-llama3-8b-v2-hf) using a [multilingual fork](https://gist.github.com/tristandruyen/9e207a95c7d75ddf37525d353e00659c) of Bartowski's imatrix dataset
# Summary
This is a [LLaMA 3 Youko](https://huggingface.co/rinna/llama-3-youko-8b) ... | [] |
RX5950XTP/silicon-based-girlfriend | RX5950XTP | 2026-03-12T14:09:19Z | 122 | 1 | null | [
"safetensors",
"gguf",
"lora",
"qlora",
"roleplay",
"character-ai",
"taiwanese-mandarin",
"llama-factory",
"zh",
"en",
"dataset:RX5950XTP/silicon-girlfriend-dataset",
"base_model:Qwen/Qwen3.5-4B",
"base_model:adapter:Qwen/Qwen3.5-4B",
"license:apache-2.0",
"endpoints_compatible",
"regi... | null | 2026-03-12T13:53:39Z | # Silicon-Based-Girlfriend — QLoRA Adapter
---
基於 **Qwen3.5-4B** 的 QLoRA 微調 Adapter，訓練目標為沉浸式繁體中文角色扮演。本倉庫包含 LoRA Adapter 權重與 GGUF 格式模型。
---
## Model Details / 模型資訊
| 項目 | 內容 |
| ------------------ | ------------------------------------------... | [
{
"start": 58,
"end": 68,
"text": "Qwen3.5-4B",
"label": "benchmark name",
"score": 0.6678256392478943
},
{
"start": 365,
"end": 375,
"text": "Qwen3.5-4B",
"label": "benchmark name",
"score": 0.6929376721382141
},
{
"start": 405,
"end": 415,
"text": "Qwen3... |
huihui-ai/Qwen2.5-32B-Instruct-abliterated | huihui-ai | 2025-04-28T12:54:26Z | 2,548 | 55 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"abliterated",
"uncensored",
"conversational",
"zho",
"eng",
"fra",
"spa",
"por",
"deu",
"ita",
"rus",
"jpn",
"kor",
"vie",
"tha",
"ara",
"base_model:Qwen/Qwen2.5-32B-Instruct",
"base_model:finetune:Qwen/Q... | text-generation | 2024-09-29T12:08:50Z | # huihui-ai/Qwen2.5-32B-Instruct-abliterated
This is an uncensored version of [Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) created with abliteration (see [this article](https://huggingface.co/blog/mlabonne/abliteration) to know more about it).
Special thanks to [@FailSpy](https://hug... | [] |
mrrtmob/kiri-ocr | mrrtmob | 2026-02-13T07:17:29Z | 529 | 9 | kiri-ocr | [
"kiri-ocr",
"onnx",
"safetensors",
"ocr",
"text-recognition",
"pytorch",
"transformer",
"handwritten",
"khmer",
"multilingual",
"image-to-text",
"en",
"km",
"dataset:mrrtmob/km_en_image_line",
"dataset:mrrtmob/khmer_english_ocr_image_line",
"license:apache-2.0",
"region:us"
] | image-to-text | 2026-01-17T10:02:28Z | # Kiri OCR Model
**Kiri OCR** is a lightweight OCR library for **English and Khmer** documents. It provides document-level text detection, recognition, and rendering capabilities in a compact package.
## ✨ Key Features
- **Lightweight**: Compact model optimized for speed and efficiency
- **Bilingual**: Native suppor... | [] |
OrionLLM/GRM-2.5 | OrionLLM | 2026-04-29T16:02:58Z | 220 | 20 | null | [
"safetensors",
"qwen3_5",
"reasoning",
"vision",
"multimodal",
"instruct",
"chat",
"coding",
"math",
"science",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-4B",
"base_model:finetune:Qwen/Qwen3.5-4B",
"license:apache-2.0",
"eval-results",
"region:us"
] | image-text-to-text | 2026-04-07T21:48:37Z | # GRM-2.5
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/685ea8ff7b4139b6845ce395/sZK90f3KIE6JcF4Nrm_2g.png" alt="logo" width="500">
</p>
<div align="center">
<a href="https://huggingface.co/OrionLLM/GRM-2.5/" style="text-decoration: none;">
<img src="https://img.shields.io/... | [] |
DavidAU/Qwen3-Zero-Coder-Reasoning-V2-0.8B | DavidAU | 2025-07-31T00:12:09Z | 459 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"merge",
"programming",
"code generation",
"code",
"codeqwen",
"coding",
"coder",
"chat",
"qwen",
"qwen-coder",
"reasoning",
"thinking",
"r1",
"cot",
"deepseek",
"40k context",
"general usage",
"problem solving",
... | text-generation | 2025-07-25T03:38:40Z | <h2>Qwen3-Zero-Coder-Reasoning-V2-0.8B-NEO-EX-GGUF</h2>
<img src="spaceballs.gif" style="float:right; width:300px; height:300px; padding:10px;">
This is a coder/programming model, will full reasoning on the Qwen 3 platform that is insanely fast - hitting over 150 t/s on moderate hardware, and 50 t/s+ on CPU only...
... | [] |
IbrahimAmin/marbertv2-arabic-written-dialect-classifier | IbrahimAmin | 2025-05-11T09:54:13Z | 449 | 5 | transformers | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"ar",
"arz",
"ary",
"dataset:iabufarha/ar_sarcasm",
"dataset:Abdelrahman-Rezk/Arabic_Dialect_Identification",
"dataset:asas-ai/DART",
"dataset:arbml/ArSarcasm_v2",
"dataset:evageon/IADD",
"base_model:UBC-NLP/MARBERTv2... | text-classification | 2025-05-07T07:48:24Z | # ✍🏻 MARBERTv2 Arabic Written Dialect Classifier
## Model Overview
This model is a fine-tuned version of [`UBC-NLP/MARBERTv2`](https://huggingface.co/UBC-NLP/MARBERTv2) for **Arabic written dialect classification**. It identifies Modern Standard Arabic (MSA) and 4 regional Arabic dialects from raw text.
This model ... | [] |
hypaai/Hypa_Orpheus-3b-0.1-ft-unsloth-merged_16bit | hypaai | 2025-05-20T19:23:39Z | 124,001 | 4 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"voice-cloning",
"audio",
"unsloth",
"orpheus",
"snac",
"hypaai",
"lora",
"merged",
"text-to-speech",
"ig",
"yo",
"ha",
"en",
"dataset:hypaai/Hypa_Fleurs",
"dataset:MrDragonFox/Elise",
"dataset:canopylabs/zac-sample-dat... | text-to-speech | 2025-04-21T01:49:30Z | # Hypa_Orpheus-3b-0.1-ft (merged 16-bit)
A 16-bit quantized and merged, memory-efficient fine-tuned version of [`canopylabs/orpheus-3b-0.1-ft`](https://huggingface.co/canopylabs/orpheus-3b-0.1-ft), optimized with Unsloth and LoRA, for expressive multilingual TTS, especially in low-resource African languages. This mode... | [] |
bartowski/internlm_JanusCoder-14B-GGUF | bartowski | 2025-10-29T19:38:04Z | 634 | 6 | null | [
"gguf",
"text-generation",
"base_model:internlm/JanusCoder-14B",
"base_model:quantized:internlm/JanusCoder-14B",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-29T18:22:30Z | ## Llamacpp imatrix Quantizations of JanusCoder-14B by internlm
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/b6872">b6872</a> for quantization.
Original model: https://huggingface.co/internlm/JanusCoder-14B
All quants made us... | [] |
featherless-ai/QRWKV-72B | featherless-ai | 2025-10-20T17:27:58Z | 112 | 67 | transformers | [
"transformers",
"safetensors",
"rwkv6qwen2",
"text-generation",
"conversational",
"custom_code",
"arxiv:2505.03005",
"license:other",
"region:us"
] | text-generation | 2025-03-16T21:20:29Z | 
- Try out the model on [](https://featherless.ai/models/featherless-ai/QRWKV-72... | [
{
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"end": 321,
"text": "QRWKV-72B",
"label": "benchmark name",
"score": 0.8400827050209045
},
{
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"text": "QRWKV-QwQ-32B",
"label": "benchmark name",
"score": 0.8473438024520874
},
{
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"end": 821,
"text": "Q... |
mradermacher/Radiant-Shadow-12B-i1-GGUF | mradermacher | 2025-12-07T23:42:34Z | 352 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Vortex5/Radiant-Shadow-12B",
"base_model:quantized:Vortex5/Radiant-Shadow-12B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-22T11:41:57Z | ## 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": 463,
"end": 481,
"text": "Radiant-Shadow-12B",
"label": "benchmark name",
"score": 0.6058940291404724
},
{
"start": 618,
"end": 644,
"text": "Radiant-Shadow-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.7261988520622253
},
{
"start": 1202,
"en... |
nota-ai/Solar-Open-100B-Nota-FP8 | nota-ai | 2026-01-26T07:09:52Z | 136 | 31 | transformers | [
"transformers",
"safetensors",
"solar_open",
"text-generation",
"upstage",
"solar",
"moe",
"100b",
"llm",
"nota",
"quantization",
"conversational",
"custom_code",
"en",
"ko",
"license:other",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | text-generation | 2026-01-26T07:03:49Z | # **Solar-Open-100B-Nota-FP8**
This repository provides an FP8-quantized version of **Upstage’s flagship model, [Solar-Open-100B](https://huggingface.co/upstage/Solar-Open-100B)**.
## Overview
- **Base model:** [Solar-Open-100B](https://huggingface.co/upstage/Solar-Open-100B)
- **Quantization:** FP8 (weight: per-ch... | [
{
"start": 4,
"end": 28,
"text": "Solar-Open-100B-Nota-FP8",
"label": "benchmark name",
"score": 0.6706447005271912
},
{
"start": 114,
"end": 129,
"text": "Solar-Open-100B",
"label": "benchmark name",
"score": 0.8812248706817627
},
{
"start": 162,
"end": 177,
... |
silveroxides/Anima-Quantized | silveroxides | 2026-04-20T16:09:33Z | 2,446 | 7 | diffusion-single-file | [
"diffusion-single-file",
"comfyui",
"base_model:circlestone-labs/Anima",
"base_model:quantized:circlestone-labs/Anima",
"license:other",
"region:us"
] | null | 2026-02-08T01:32:23Z | # Quantized weights using Learned Rounding indended for ComfyUI
## Original Model Card:
<img src="https://huggingface.co/circlestone-labs/Anima/resolve/main/example.png" width="400">
Anima is a 2 billion parameter text-to-image model created via a collaboration between CircleStone Labs and Comfy Org. It is focused m... | [] |
aoi-ot/VibeVoice-Large | aoi-ot | 2025-09-25T00:32:21Z | 3,186 | 223 | vibevoice | [
"vibevoice",
"safetensors",
"Podcast",
"text-to-speech",
"en",
"zh",
"arxiv:2508.19205",
"arxiv:2412.08635",
"license:mit",
"region:us"
] | text-to-speech | 2025-09-04T04:15:52Z | ## VibeVoice: A Frontier Open-Source Text-to-Speech Model
> This repository contains a copy of model weights obtained from ModelScope([microsoft/VibeVoice-Large](https://www.modelscope.cn/models/microsoft/VibeVoice-Large)).
> The license for this model is the `MIT License`, **which permits redistribution**.
>
> My un... | [] |
inclusionAI/LLaDA-MoE-7B-A1B-Instruct | inclusionAI | 2025-10-28T09:28:31Z | 1,541 | 68 | transformers | [
"transformers",
"safetensors",
"llada",
"dllm",
"diffusion",
"llm",
"text_generation",
"custom_code",
"arxiv:2509.24389",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-09-10T09:13:14Z | # LLaDA-MoE
**LLaDA-MoE** is a new and upgraded series of the LLaDA diffusion language model. This pre-release includes two cutting-edge models:
- `LLaDA-MoE-7B-A1B-Base`: A base pre-trained model designed for research and secondary development.
- `LLaDA-MoE-7B-A1B-Instruct`: An instruction-tuned model optimized for ... | [
{
"start": 2,
"end": 11,
"text": "LLaDA-MoE",
"label": "benchmark name",
"score": 0.6855436563491821
},
{
"start": 15,
"end": 24,
"text": "LLaDA-MoE",
"label": "benchmark name",
"score": 0.6626397967338562
},
{
"start": 1096,
"end": 1105,
"text": "LLaDA-Mo... |
mradermacher/HY-MT1.5-7B-GGUF | mradermacher | 2025-12-30T14:14:08Z | 392 | 4 | transformers | [
"transformers",
"gguf",
"translation",
"zh",
"en",
"fr",
"pt",
"es",
"ja",
"tr",
"ru",
"ar",
"ko",
"th",
"it",
"de",
"vi",
"ms",
"id",
"tl",
"hi",
"pl",
"cs",
"nl",
"km",
"my",
"fa",
"gu",
"ur",
"te",
"mr",
"he",
"bn",
"ta",
"uk",
"bo",
"kk",
... | translation | 2025-12-30T13:23:56Z | ## 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": 508,
"end": 524,
"text": "HY-MT1.5-7B-GGUF",
"label": "benchmark name",
"score": 0.6895092129707336
}
] |
iampanda/zpoint_large_embedding_zh | iampanda | 2024-07-22T10:18:56Z | 728 | 48 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"safetensors",
"bert",
"mteb",
"zh",
"license:mit",
"model-index",
"region:us"
] | null | 2024-06-04T15:01:43Z | <h2 align="left">ZPoint Large Embedding for Chinese</h2>
- **[2024-06-04]** Release zpoint_large_embedding_zh, and upload model weight to huggingface
- **[2024-06-05]** Add training details
### Training Details
**Base Model**
1) We chose [Stella](https://huggingface.co/infgrad/stella-mrl-large-zh-v3.5-1792d) as our ... | [] |
zer0int/CLIP-GmP-ViT-L-14 | zer0int | 2026-01-25T16:07:07Z | 36,053 | 515 | transformers | [
"transformers",
"safetensors",
"clip",
"zero-shot-image-classification",
"dataset:SPRIGHT-T2I/spright_coco",
"base_model:openai/clip-vit-large-patch14",
"base_model:finetune:openai/clip-vit-large-patch14",
"license:mit",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2024-06-15T12:47:19Z | # 🔥 Update SUMMER 2025: 🔥
🤖 New and greatly improved version of the model, check out:
- 🌑 [https://huggingface.co/zer0int/CLIP-KO-LITE-TypoAttack-Attn-Dropout-ViT-L-14](https://huggingface.co/zer0int/CLIP-KO-LITE-TypoAttack-Attn-Dropout-ViT-L-14)
----
## A fine-tune of CLIP-L. Original model: [openai/clip-vit-larg... | [] |
bartowski/cerebras_GLM-4.7-REAP-218B-A32B-GGUF | bartowski | 2026-01-13T07:22:40Z | 206 | 5 | null | [
"gguf",
"glm",
"MOE",
"pruning",
"compression",
"text-generation",
"en",
"base_model:cerebras/GLM-4.7-REAP-218B-A32B",
"base_model:quantized:cerebras/GLM-4.7-REAP-218B-A32B",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-01-12T19:23:29Z | ## Llamacpp imatrix Quantizations of GLM-4.7-REAP-218B-A32B by cerebras
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/b7703">b7703</a> for quantization.
Original model: https://huggingface.co/cerebras/GLM-4.7-REAP-218B-A32B
Al... | [] |
nvidia/Llama-3_1-Nemotron-51B-Instruct | nvidia | 2025-07-06T15:52:27Z | 1,519 | 210 | transformers | [
"transformers",
"safetensors",
"nemotron-nas",
"text-generation",
"nvidia",
"llama-3",
"pytorch",
"conversational",
"custom_code",
"en",
"arxiv:2306.05685",
"arxiv:2009.03300",
"arxiv:2110.14168",
"arxiv:2404.05993",
"license:other",
"region:us"
] | text-generation | 2024-09-22T07:24:59Z | # Llama-3_1-Nemotron-51B-instruct
## Model Overview
Llama-3_1-Nemotron-51B-instruct is a model which offers a great tradeoff between model accuracy and efficiency. Efficiency (throughput) directly translates to price, providing great ‘quality-per-dollar’. Using a novel Neural Architecture Search (NAS) approach we gr... | [] |
tiiuae/Falcon3-10B-Instruct-1.58bit | tiiuae | 2025-01-13T07:44:42Z | 625 | 25 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"bitnet",
"falcon3",
"conversational",
"arxiv:2402.17764",
"base_model:tiiuae/Falcon3-10B-Instruct",
"base_model:quantized:tiiuae/Falcon3-10B-Instruct",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"8-bit",... | text-generation | 2024-12-16T14:42:51Z | 
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Training Details](#training-details)
3. [Usage](#usage)
4. [Evaluation](#evaluation)
5. [Citation](#citation)
# TL;DR... | [] |
Xenova/yolov9-c_all | Xenova | 2025-06-30T18:46:22Z | 141 | 3 | transformers.js | [
"transformers.js",
"onnx",
"yolov9",
"object-detection",
"license:gpl-3.0",
"region:us"
] | object-detection | 2024-02-26T14:13:41Z | https://github.com/WongKinYiu/yolov9 with ONNX weights to be compatible with Transformers.js.
## Usage (Transformers.js)
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transformers) usi... | [] |
TheBloke/CodeLlama-7B-Instruct-GGUF | TheBloke | 2023-09-27T12:46:02Z | 8,496 | 147 | transformers | [
"transformers",
"gguf",
"llama",
"llama-2",
"text-generation",
"code",
"arxiv:2308.12950",
"license:llama2",
"region:us"
] | text-generation | 2023-08-24T17:01:14Z | <!-- 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... | [] |
Goekdeniz-Guelmez/Josiefied-Qwen3-VL-4B-Instruct-abliterated-beta-v1 | Goekdeniz-Guelmez | 2025-10-21T10:14:35Z | 338 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_vl",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3-VL-4B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-4B-Instruct",
"region:us"
] | text-generation | 2025-10-20T17:38:12Z | # JOSIEFIED Model Family
The **JOSIEFIED** model family represents a series of highly advanced language models built upon renowned architectures such as Alibaba’s Qwen2/2.5/3, Google’s Gemma3, and Meta’s LLaMA 3/4. Covering sizes from 0.5B to 32B parameters, these models have been signific... | [
{
"start": 193,
"end": 204,
"text": "Qwen2/2.5/3",
"label": "benchmark name",
"score": 0.6382505893707275
},
{
"start": 215,
"end": 221,
"text": "Gemma3",
"label": "benchmark name",
"score": 0.7527906894683838
},
{
"start": 234,
"end": 243,
"text": "LLaMA ... |
huihui-ai/gemma-3-4b-it-abliterated | huihui-ai | 2025-04-01T06:01:18Z | 186 | 18 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"abliterated",
"uncensored",
"conversational",
"base_model:google/gemma-3-4b-it",
"base_model:finetune:google/gemma-3-4b-it",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-03-20T01:32:59Z | # huihui-ai/gemma-3-4b-it-abliterated
This is an uncensored version of [google/gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
This is a crude, proof... | [] |
DavidAU/Qwen3-4B-2507-Thinking-heretic-abliterated-uncensored | DavidAU | 2025-12-11T07:23:52Z | 116 | 10 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"conversational",
"base_model:Qwen/Qwen3-4B-Thinking-2507",
"base_model:finetune:Qwen/Qwen3-4B-Thinking-2507",
"text-generation-inference",
"endpoints_compatible",
... | text-generation | 2025-12-11T06:47:13Z | <h2>Qwen3-4B-2507-Thinking-heretic-abliterated-uncensored</h2>
Ablitered/uncensored by [Heretic](https://github.com/p-e-w/heretic) v1.0.1
Refusals: 4/100, KL divergence: 0.05
Original Model Refusal rate: 97/100
Context: 256k
ENJOY THE FREEDOM!
<B>EXPLAINER:</B>
The method invented by "P-E-W" looks for the best ... | [
{
"start": 157,
"end": 170,
"text": "KL divergence",
"label": "evaluation metric",
"score": 0.8503580689430237
},
{
"start": 194,
"end": 206,
"text": "Refusal rate",
"label": "evaluation metric",
"score": 0.8705323338508606
},
{
"start": 294,
"end": 299,
"... |
unsloth/Qwen3.5-35B-A3B-Base | unsloth | 2026-02-24T17:19:05Z | 3,429 | 7 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"unsloth",
"conversational",
"base_model:Qwen/Qwen3.5-35B-A3B-Base",
"base_model:finetune:Qwen/Qwen3.5-35B-A3B-Base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-02-24T14:56:04Z | > [!NOTE]
> Includes Unsloth **chat template fixes**! <br> For `llama.cpp`, use `--jinja`
>
<div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
... | [] |
openchs/cls-gbv-distilbert-v1 | openchs | 2025-10-16T05:39:52Z | 193 | 2 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"multi-task-learning",
"call-center-analytics",
"child-helplines",
"case-classification",
"crisis-support",
"social-impact",
"east-africa",
"openchlsystem",
"helpline",
"text-classification",
"en",
"dataset:helpline_dataset",
... | text-classification | 2025-09-08T09:11:26Z | # DistilBERT Multi-Task Classifier for Child Helpline Case Management
## Model Description
This is a fine-tuned **DistilBERT-base-uncased** model designed for **multi-task classification of child helpline and call center transcripts**. Developed by **BITZ IT Consulting** as part of the **OpenCHS AI pipeline** for chi... | [
{
"start": 1573,
"end": 1585,
"text": "Eval Avg Acc",
"label": "evaluation metric",
"score": 0.6150798797607422
}
] |
mradermacher/Circuitry_24B_V.2-i1-GGUF | mradermacher | 2025-12-28T20:23:52Z | 139 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"creative",
"en",
"ru",
"base_model:OddTheGreat/Circuitry_24B_V.2",
"base_model:quantized:OddTheGreat/Circuitry_24B_V.2",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2025-09-03T23:06:14Z | ## 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... | [] |
TTPlanet/TTPLanet_SDXL_Controlnet_Tile_Realistic | TTPlanet | 2024-06-08T17:20:45Z | 41,587 | 263 | diffusers | [
"diffusers",
"Controlnet",
"Tile",
"stable diffustion",
"image-feature-extraction",
"license:openrail",
"region:us"
] | image-feature-extraction | 2024-03-02T03:45:43Z | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
Controlnet SDXL Tile model realistic version, fit for both webui extention and comfyui controlnet node.
### Model Description
Here's a refined version of the update notes for the Tile V2:
-Introducing the new Tile V2, enhanced wit... | [] |
cs2764/GLM-4.7-PRISM-Q8_0-GGUF | cs2764 | 2026-01-31T07:31:51Z | 2,394 | 1 | transformers | [
"transformers",
"gguf",
"abliteration",
"SOTA Abliteration Pipeline - PRISM",
"glm",
"glm4_moe",
"quantized",
"finetuned",
"uncensored",
"abliterated",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"zh",
"base_model:Ex0bit/GLM-4.7-PRISM",
"base_model:quantized:Ex0bit/GLM-4.7-... | text-generation | 2026-01-31T07:01:54Z | # cs2764/GLM-4.7-PRISM-Q8_0-GGUF
This model was converted to GGUF format from [`Ex0bit/GLM-4.7-PRISM`](https://huggingface.co/Ex0bit/GLM-4.7-PRISM) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Ex0bi... | [] |
mradermacher/Simia-Officebench-SFT-Qwen2.5-7B-i1-GGUF | mradermacher | 2025-12-08T19:13:08Z | 1,991 | 1 | transformers | [
"transformers",
"gguf",
"llama-factory",
"full",
"generated_from_trainer",
"en",
"base_model:Simia-Agent/Simia-Officebench-SFT-Qwen2.5-7B",
"base_model:quantized:Simia-Agent/Simia-Officebench-SFT-Qwen2.5-7B",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-21T12:16:31Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 636,
"end": 676,
"text": "Simia-Officebench-SFT-Qwen2.5-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.6822208762168884
},
{
"start": 1248,
"end": 1288,
"text": "Simia-Officebench-SFT-Qwen2.5-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.66243815422058... |
prithivMLmods/Kimina-Prover-AI-MO-GGUF | prithivMLmods | 2025-08-21T09:25:55Z | 381 | 1 | transformers | [
"transformers",
"gguf",
"qwen3",
"text-generation-inference",
"text-generation",
"en",
"base_model:AI-MO/Kimina-Prover-Distill-0.6B",
"base_model:quantized:AI-MO/Kimina-Prover-Distill-0.6B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-08-21T03:49:46Z | # **Kimina-Prover-AI-MO-GGUF**
> The [Kimina-Prover](https://huggingface.co/collections/AI-MO/kimina-prover-686b72614760ed23038056c5) model family—comprising Kimina-Prover-Distill-0.6B, Kimina-Prover-RL-0.6B, Kimina-Prover-Distill-1.7B, and Kimina-Prover-RL-1.7B—are advanced theorem-proving language models developed b... | [
{
"start": 658,
"end": 665,
"text": "Pass@32",
"label": "evaluation metric",
"score": 0.8012896776199341
},
{
"start": 849,
"end": 856,
"text": "Pass@32",
"label": "evaluation metric",
"score": 0.6310951113700867
},
{
"start": 892,
"end": 899,
"text": "Pas... |
hareeshbabu82/TeluguIndicF5 | hareeshbabu82 | 2025-06-20T12:38:07Z | 276 | 1 | null | [
"safetensors",
"inf5",
"text-to-speech",
"custom_code",
"as",
"bn",
"gu",
"mr",
"hi",
"kn",
"ml",
"or",
"pa",
"ta",
"te",
"dataset:ai4bharat/indicvoices_r",
"dataset:ai4bharat/Rasa",
"base_model:ai4bharat/IndicF5",
"base_model:finetune:ai4bharat/IndicF5",
"license:apache-2.0",
... | text-to-speech | 2025-06-19T19:14:17Z | # **IndicF5: High-Quality Text-to-Speech for Indian Languages**
We release **IndicF5**, a **near-human polyglot** **Text-to-Speech (TTS)** model trained on **1417 hours** of high-quality speech from **[Rasa](https://huggingface.co/datasets/ai4bharat/Rasa), [IndicTTS](https://www.iitm.ac.in/donlab/indictts/database),... | [] |
mradermacher/Ministral-3-14B-Reasoning-2512-ShiningValiant3-i1-GGUF | mradermacher | 2025-12-09T23:00:09Z | 351 | 1 | transformers | [
"transformers",
"gguf",
"shining-valiant",
"shining-valiant-3",
"valiant",
"valiant-labs",
"mistral3",
"mistral",
"mistral-common",
"ministral-3-14b",
"ministral",
"reasoning",
"code",
"code-reasoning",
"science",
"science-reasoning",
"physics",
"biology",
"chemistry",
"earth-s... | null | 2025-12-09T21:56:39Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
deepseek-ai/DeepSeek-V3-0324 | deepseek-ai | 2025-03-27T04:01:53Z | 351,168 | 3,092 | transformers | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"conversational",
"custom_code",
"arxiv:2412.19437",
"license:mit",
"eval-results",
"text-generation-inference",
"endpoints_compatible",
"fp8",
"region:us"
] | text-generation | 2025-03-24T09:28:22Z | # DeepSeek-V3-0324
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div align="c... | [] |
Video-Reason/VBVR-Wan2.2 | Video-Reason | 2026-04-15T03:41:22Z | 204 | 127 | diffusers | [
"diffusers",
"safetensors",
"image-to-video",
"arxiv:2602.20159",
"base_model:Wan-AI/Wan2.2-I2V-A14B-Diffusers",
"base_model:finetune:Wan-AI/Wan2.2-I2V-A14B-Diffusers",
"license:apache-2.0",
"diffusers:WanImageToVideoPipeline",
"region:us"
] | image-to-video | 2026-02-16T05:41:21Z | # VBVR: A Very Big Video Reasoning Suite
<a href="https://video-reason.com" target="_blank">
<img alt="Project Page" src="https://img.shields.io/badge/Project%20-%20Homepage-4285F4" height="20" />
</a>
<a href="https://github.com/Video-Reason/VBVR-EvalKit" target="_blank">
<img alt="Code" src="https://img.shie... | [] |
Nerdsking/nerdsking-python-coder-3B-i | Nerdsking | 2026-04-03T14:22:10Z | 652 | 11 | null | [
"gguf",
"code",
"text-generation",
"en",
"pt",
"zh",
"es",
"de",
"it",
"fr",
"base_model:Qwen/Qwen2.5-Coder-3B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-3B-Instruct",
"doi:10.57967/hf/7864",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversati... | text-generation | 2025-12-22T10:00:31Z | <!-- Provide a quick summary of what the model is/does. -->
#### Model Details
<p class="justified-text">
<b>Nerdsking-python-coder-3B-i</b> is a 3B parameter <u>partially uncensored</u> model focused in <b> coding</b>. It was massively trained in python, therefore despite the fact it can code in other languages as... | [
{
"start": 113,
"end": 140,
"text": "Nerdsking-python-coder-3B-i",
"label": "benchmark name",
"score": 0.635651707649231
},
{
"start": 1043,
"end": 1070,
"text": "Nerdsking-python-coder-3B-i",
"label": "benchmark name",
"score": 0.6578924655914307
},
{
"start": 11... |
lmms-lab-encoder/onevision-encoder-large | lmms-lab-encoder | 2026-02-05T09:20:21Z | 711 | 14 | null | [
"safetensors",
"onevision_encoder",
"custom_code",
"license:apache-2.0",
"region:us"
] | null | 2025-12-25T08:36:30Z | ### Key Features
- **Codec-Style Patch Selection**: Instead of sampling sparse frames densely (all patches from few frames), OneVision Encoder samples dense frames sparsely (important patches from many frames).
- **3D Rotary Position Embedding**: Uses a 4:6:6 split for temporal, height, and width dimensions to capture... | [
{
"start": 396,
"end": 403,
"text": "MVBench",
"label": "benchmark name",
"score": 0.8047839403152466
},
{
"start": 405,
"end": 413,
"text": "VideoMME",
"label": "benchmark name",
"score": 0.7218179106712341
},
{
"start": 415,
"end": 430,
"text": "Percepti... |
vibevoice/VibeVoice-7B | vibevoice | 2025-09-05T16:32:04Z | 8,081 | 174 | null | [
"safetensors",
"vibevoice",
"Podcast",
"text-to-speech",
"en",
"zh",
"arxiv:2508.19205",
"arxiv:2412.08635",
"license:mit",
"region:us"
] | text-to-speech | 2025-09-04T15:48:01Z | Thanks to [@aoi-ot](https://huggingface.co/aoi-ot) for HF reupload, this is duplicated from their repo :)
https://github.com/vibevoice-community/VibeVoice
## VibeVoice: A Frontier Open-Source Text-to-Speech Model
VibeVoice is a novel framework designed for generating expressive, long-form, multi-speaker conversatio... | [] |
mradermacher/Heretic-Dolphin3.0-Qwen2.5-3b-i1-GGUF | mradermacher | 2026-01-06T05:47:44Z | 140 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"en",
"base_model:hereticness/Heretic-Dolphin3.0-Qwen2.5-3b",
"base_model:quantized:hereticness/Heretic-Dolphin3.0-Qwen2.5-3b",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-06T02:41:22Z | ## 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": 467,
"end": 496,
"text": "Heretic-Dolphin3.0-Qwen2.5-3b",
"label": "benchmark name",
"score": 0.6245793700218201
},
{
"start": 633,
"end": 670,
"text": "Heretic-Dolphin3.0-Qwen2.5-3b-i1-GGUF",
"label": "benchmark name",
"score": 0.6773684024810791
},
{
... |
mradermacher/Prototype-X-12b-GGUF | mradermacher | 2025-11-01T03:03:51Z | 173 | 5 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Vortex5/Prototype-X-12b",
"base_model:quantized:Vortex5/Prototype-X-12b",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-01T02:04:20Z | ## 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... | [
{
"start": 512,
"end": 532,
"text": "Prototype-X-12b-GGUF",
"label": "benchmark name",
"score": 0.6202805042266846
}
] |
lmsys/vicuna-13b-v1.5 | lmsys | 2024-03-17T21:09:21Z | 21,101 | 242 | transformers | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2307.09288",
"arxiv:2306.05685",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | 2023-07-29T04:44:46Z | # Vicuna Model Card
## Model Details
Vicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected from ShareGPT.
- **Developed by:** [LMSYS](https://lmsys.org/)
- **Model type:** An auto-regressive language model based on the transformer architecture
- **License:** Llama 2 Communi... | [] |
Goedel-LM/Goedel-Prover-SFT | Goedel-LM | 2025-04-18T21:02:19Z | 266 | 29 | null | [
"safetensors",
"llama",
"arxiv:2502.07640",
"license:mit",
"region:us"
] | null | 2025-01-28T19:36:51Z | <hr>
<div align="center" style="line-height: 1;">
<a href="https://goedel-lm.github.io/" target="_blank" style="margin: 2px;">
<img alt="Homepage" src="https://img.shields.io/badge/%F0%9F%A4%96%20Homepage-Goedel-536af5?color=536af5&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
</a>
... | [] |
bartowski/Qwen_Qwen3-Next-80B-A3B-Thinking-GGUF | bartowski | 2026-03-01T16:19:32Z | 31,548 | 14 | null | [
"gguf",
"text-generation",
"base_model:Qwen/Qwen3-Next-80B-A3B-Thinking",
"base_model:quantized:Qwen/Qwen3-Next-80B-A3B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-09-09T19:41:34Z | ## Llamacpp imatrix Quantizations of Qwen3-Next-80B-A3B-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/b8182">b8182</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinking
... | [] |
MahmoudAshraf/mms-300m-1130-forced-aligner | MahmoudAshraf | 2026-04-15T14:57:12Z | 3,989,665 | 83 | transformers | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"mms",
"audio",
"voice",
"speech",
"forced-alignment",
"ab",
"af",
"ak",
"am",
"ar",
"as",
"av",
"ay",
"az",
"ba",
"bm",
"be",
"bn",
"bi",
"bo",
"sh",
"br",
"bg",
"ca",
"cs... | automatic-speech-recognition | 2024-05-02T21:02:39Z | # Forced Alignment with Hugging Face CTC Models
This Python package provides an efficient way to perform forced alignment between text and audio using Hugging Face's pretrained models. it also features an improved implementation to use much less memory than TorchAudio forced alignment API.
The model checkpoint uploade... | [] |
elyza/ELYZA-Diffusion-Instruct-1.0-Dream-7B | elyza | 2026-01-15T09:14:55Z | 237 | 11 | null | [
"safetensors",
"Dream",
"custom_code",
"en",
"ja",
"arxiv:2508.15487",
"base_model:elyza/ELYZA-Diffusion-Base-1.0-Dream-7B",
"base_model:finetune:elyza/ELYZA-Diffusion-Base-1.0-Dream-7B",
"license:apache-2.0",
"region:us"
] | null | 2025-12-10T03:16:52Z | # ELYZA-Diffusion-Instruct-1.0-Dream-7B
## Model Description
**ELYZA-Diffusion-Instruct-1.0-Dream-7B** is a Japanese-adapted **diffusion language model**
released by ELYZA, Inc.
It is based on the open-... | [] |
surogate/Qwen3.5-9B-NVFP4 | surogate | 2026-03-16T21:00:24Z | 153 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"Surogate",
"ModelOpt",
"Qwen3.5",
"quantized",
"NVFP4",
"nvfp4",
"sglang",
"conversational",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"8-bit",
... | image-text-to-text | 2026-03-16T16:54:07Z | # Qwen3.5-9B-NVFP4
<img width="400px" src="https://huggingface.co/surogate/Qwen3.5-9B-NVFP4/resolve/main/Surogate-Logo-White.png">
**This Qwen3.5 variant is recommended for Surogate on Blackwell NVIDIA GPUs. Check out [http://surogate.ai](http://surogate.ai)**
This is an NVFP4-quantized version of [Qwen/Qwen3.5-9B](... | [] |
RefalMachine/RuadaptQwen3-4B-Instruct | RefalMachine | 2025-08-26T11:00:53Z | 2,307 | 10 | null | [
"safetensors",
"qwen3",
"ru",
"en",
"dataset:dichspace/darulm",
"dataset:HuggingFaceFW/fineweb-2",
"dataset:RefalMachine/ruadapt_instruct_2507",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | null | 2025-08-26T10:37:05Z | <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-GGUF"><b>GGUF</b>🚀</a>
</p>
<hr>
# RU
## Описание модели
**Ruadapt** версия **инструктивной** модели **Qwen/Qwen3-4B-Instruct-2507**. В модели был... | [] |
mradermacher/Repose-Marlin-12B-i1-GGUF | mradermacher | 2026-03-13T15:50:16Z | 2,088 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:Sela223/Repose-Marlin-12B",
"base_model:quantized:Sela223/Repose-Marlin-12B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-13T14:07:16Z | ## 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": 617,
"end": 642,
"text": "Repose-Marlin-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.6996217370033264
},
{
"start": 1199,
"end": 1224,
"text": "Repose-Marlin-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.6714816689491272
},
{
"start": 1238,... |
DJLougen/Ornstein-27B-SABER-GGUF | DJLougen | 2026-04-17T16:01:10Z | 246 | 2 | null | [
"gguf",
"refusal-ablation",
"capability-preserving",
"saber",
"qwen3.5",
"multimodal",
"27b",
"text-generation",
"arxiv:2406.11717",
"arxiv:2512.18901",
"arxiv:2509.09708",
"arxiv:2506.00085",
"arxiv:2505.23556",
"base_model:DJLougen/Ornstein-27B",
"base_model:quantized:DJLougen/Ornstein... | text-generation | 2026-04-15T00:41:32Z | <img src="Ornstein27BSABER.jpeg" alt="Ornstein-27B SABER" width="100%"/>
# DJLougen/Ornstein-27B-SABER
> **0% refusal. 0% perplexity degradation. 125 directions.**
This model is a surgically-modified version of [DJLougen/Ornstein-27B](https://huggingface.co/DJLougen/Ornstein-27B) using a novel proprietary method (**... | [] |
google/tipsv2-b14 | google | 2026-04-14T21:56:31Z | 348 | 18 | transformers | [
"transformers",
"safetensors",
"tipsv2",
"feature-extraction",
"vision",
"image-text",
"contrastive-learning",
"zero-shot",
"zero-shot-image-classification",
"custom_code",
"license:apache-2.0",
"region:us"
] | zero-shot-image-classification | 2026-04-09T06:28:59Z | # TIPSv2 — B/14
TIPSv2 (Text-Image Pre-training with Spatial awareness) is a family of contrastive vision-language models that produce spatially rich image features aligned with text embeddings. This is the Base variant with 86M vision params and 110M text params. Try the code snippets below or check out the [GitHub r... | [] |
Valdemardi/DeepSeek-R1-Distill-Llama-70B-AWQ | Valdemardi | 2025-01-20T20:27:59Z | 2,792 | 20 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
"base_model:quantized:deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
"license:llama3.3",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"awq",
"dep... | text-generation | 2025-01-20T20:27:59Z | # DeepSeek-R1
## Quantization Details
This quantized model was created using AutoAWQ version 0.2.8 with `quant_config`:
```
{
"zero_point": True,
"q_group_size": 128,
"w_bit": 4,
"version": "GEMM"
}
```
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable n... | [] |
bartowski/Meta-Llama-3.1-8B-Instruct-abliterated-GGUF | bartowski | 2024-07-28T04:53:46Z | 6,443 | 11 | transformers | [
"transformers",
"gguf",
"text-generation",
"base_model:mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated",
"base_model:quantized:mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated",
"license:llama3.1",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-07-25T16:19:23Z | ## Llamacpp imatrix Quantizations of Meta-Llama-3.1-8B-Instruct-abliterated
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3472">b3472</a> for quantization.
Original model: https://huggingface.co/mlabonne/Meta-Llama-3.1-8B-In... | [] |
DavidAU/Qwen3.5-13B-GLM-4.7-Flash-DeepSeek-Polaris-Grande-Deep-Thinking | DavidAU | 2026-03-13T01:26:17Z | 305 | 11 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"unsloth",
"fine tune",
"all use cases",
"coder",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"sci... | image-text-to-text | 2026-03-12T02:34:03Z | <small><font color="red">IMPORTANT:</font> This model has an upgraded Jinja template which repairs issues with org model (repeats, long thinking, loops) and upgrades/repairs to tool handling.</small>
<h2>Qwen3.5-13B-GLM-4.7-Flash-DeepSeek-Polaris-Grande-Deep-Thinking</h2>
A brutally smart model ; a combination a merg... | [] |
Aquiles-ai/Harvey-9B | Aquiles-ai | 2026-04-11T04:14:24Z | 183 | 1 | null | [
"safetensors",
"qwen3_5",
"legal",
"el-salvador",
"jurisprudence",
"image-text-to-text",
"conversational",
"en",
"es",
"base_model:huihui-ai/Huihui-Qwen3.5-9B-Claude-4.6-Opus-abliterated",
"base_model:finetune:huihui-ai/Huihui-Qwen3.5-9B-Claude-4.6-Opus-abliterated",
"license:apache-2.0",
"r... | image-text-to-text | 2026-03-30T03:50:13Z | <div align="center">
<h1>Harvey-9B</h1>
<img src="https://res.cloudinary.com/dmtomxyvm/image/upload/v1774842921/harvey_u5lbso.png" alt="Aquiles-Image Logo" width="800"/>
<p><strong>A legal reasoning model specialized in Salvadoran jurisprudence</strong></p>
</div>
## Model Summary
Harvey-9B is a fine-... | [] |
mradermacher/ablated-qwen-2.5-7b-GGUF | mradermacher | 2025-12-23T18:01:07Z | 156 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:tux/ablated-qwen-2.5-7b",
"base_model:quantized:tux/ablated-qwen-2.5-7b",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-23T12:26:29Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 512,
"end": 536,
"text": "ablated-qwen-2.5-7b-GGUF",
"label": "benchmark name",
"score": 0.6224687695503235
}
] |
mradermacher/Ru-Gemma3-1B-GGUF | mradermacher | 2025-11-21T01:09:40Z | 269 | 1 | transformers | [
"transformers",
"gguf",
"gemma",
"gemma-3",
"saiga",
"conversation",
"text-generation",
"unsloth",
"ru",
"en",
"dataset:IlyaGusev/saiga_scored",
"base_model:wexyyyyyy/Ru-Gemma3-1B",
"base_model:quantized:wexyyyyyy/Ru-Gemma3-1B",
"license:gemma",
"endpoints_compatible",
"region:us",
"... | text-generation | 2025-11-21T00:58:21Z | ## 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": 511,
"end": 528,
"text": "Ru-Gemma3-1B-GGUF",
"label": "benchmark name",
"score": 0.6632295250892639
},
{
"start": 1224,
"end": 1241,
"text": "Ru-Gemma3-1B-GGUF",
"label": "benchmark name",
"score": 0.6410103440284729
}
] |
thecakeisal1e/ily-scat-smear | thecakeisal1e | 2025-05-24T21:00:21Z | 976 | 34 | diffusers | [
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"base_model:btaskel/Illustrious-XL-v2.0-GGUF",
"base_model:adapter:btaskel/Illustrious-XL-v2.0-GGUF",
"region:us"
] | text-to-image | 2025-05-24T20:51:09Z | # illustrious-scat-smear
<Gallery />
## Model description
A new version of the previous LoRA but trained on the same dataset with Illustrious 2.0 for 2 epochs (2366 iterations). Seems to work fine on inherited models like NoobAI and, since the Pony one kinda works for both models, you can combine them at various st... | [] |
shivamjha98/Agnes-8B | shivamjha98 | 2026-03-13T06:36:10Z | 242 | 1 | transformers | [
"transformers",
"gguf",
"qwen3",
"japanese",
"bilingual",
"lora",
"fine-tuned",
"personal-assistant",
"llama-cpp",
"text-generation",
"ja",
"en",
"dataset:fujiki/japanese_alpaca_data",
"dataset:kunishou/databricks-dolly-15k-ja",
"dataset:kunishou/oasst1-89k-ja",
"dataset:kunishou/hh-rl... | text-generation | 2026-03-13T06:33:27Z | # Agnes-8B — Bilingual (EN/JP) Personal AI Assistant
Agnes is a fine-tuned **Qwen3-8B** model designed as a bilingual (English/Japanese) personal AI assistant. She is polite, witty, and proactive — inspired by Jarvis from Iron Man. Agnes also serves as a Japanese language tutor and naturally code-switches between Engl... | [] |
bartowski/p-e-w_phi-4-heretic-GGUF | bartowski | 2025-11-17T04:15:22Z | 358 | 2 | null | [
"gguf",
"phi",
"nlp",
"math",
"code",
"chat",
"conversational",
"heretic",
"uncensored",
"decensored",
"abliterated",
"text-generation",
"en",
"base_model:p-e-w/phi-4-heretic",
"base_model:quantized:p-e-w/phi-4-heretic",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-11-17T02:30:34Z | ## Llamacpp imatrix Quantizations of phi-4-heretic by p-e-w
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/b7049">b7049</a> for quantization.
Original model: https://huggingface.co/p-e-w/phi-4-heretic
All quants made using imat... | [] |
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