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 |
|---|---|---|---|---|---|---|---|---|---|---|
andrewdalpino/MewZoom-V1-2X-Unet | andrewdalpino | 2026-04-29T22:29:57Z | 195 | 1 | null | [
"tensorboard",
"onnx",
"safetensors",
"super-resolution",
"image-to-image",
"license:apache-2.0",
"region:us"
] | image-to-image | 2026-04-09T03:24:08Z | # MewZoom
A family of open-source super-resolution models with purrfect pixels. Pre-trained on a diverse set of images and fine-tuned with an adversarial network for exceptional realism, Mew Zoom upscal... | [] |
nvidia/nemocurator-fineweb-nemotron-4-edu-classifier | nvidia | 2025-09-22T21:02:54Z | 4,828 | 12 | null | [
"safetensors",
"bert",
"arxiv:2406.17557",
"arxiv:2412.02595",
"arxiv:2405.05374",
"license:other",
"region:us"
] | null | 2025-02-07T18:29:43Z | # NemoCurator FineWeb Nemotron-4 Edu Classifier
## Model Overview
This is a text classification model designed to determine the educational value of a piece of text (score 0-5 from low to high). It is similar to the [FineWeb-Edu classifier](https://arxiv.org/abs/2406.17557) and was trained on the same text samples, bu... | [
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"text": "score 0-5",
"label": "evaluation metric",
"score": 0.6149754524230957
}
] |
mradermacher/Gelato-30B-A3B-i1-GGUF | mradermacher | 2025-12-08T05:30:02Z | 285 | 2 | transformers | [
"transformers",
"gguf",
"en",
"dataset:mlfoundations/Click-100k",
"base_model:mlfoundations/Gelato-30B-A3B",
"base_model:quantized:mlfoundations/Gelato-30B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-03T23:32:32Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
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mradermacher/Llama-3.1-8B-ArtTherapy-GGUF | mradermacher | 2026-03-18T10:27:47Z | 670 | 1 | transformers | [
"transformers",
"gguf",
"llama",
"llama-3",
"art-therapy",
"mental-health",
"causal-lm",
"fine-tuned",
"merged",
"medical",
"es",
"dataset:mariadelcarmenramirez/art-therapy-data",
"base_model:mariadelcarmenramirez/Llama-3.1-8B-ArtTherapy",
"base_model:quantized:mariadelcarmenramirez/Llama-... | null | 2026-03-13T09:30:42Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
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"text": "Llama-3.1-8B-ArtTherapy",
"label": "benchmark name",
"score": 0.7789815664291382
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{
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"end": 562,
"text": "Llama-3.1-8B-ArtTherapy-GGUF",
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"score": 0.8258072733879089
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lovedheart/Qwen3-Next-REAP-25B-A3B-Thinking-GGUF | lovedheart | 2026-01-27T09:32:26Z | 325 | 4 | null | [
"gguf",
"text-generation-inference",
"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",
"conversational"
] | null | 2026-01-14T22:52:08Z | 
**Qwen3-Next-REAP-25B-A3B-Thinking** has the following specifications:
- **Type:** Causal Language Models
- **Number of Parameters**: 25B in total and 3B activated
- **Hidden Dimension**: ... | [] |
INSAIT-Institute/MamayLM-Gemma-3-12B-IT-v1.0 | INSAIT-Institute | 2025-09-27T13:11:17Z | 792 | 18 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"instruct",
"mamaylm",
"insait",
"conversational",
"uk",
"en",
"dataset:Goader/kobza",
"dataset:HuggingFaceFW/fineweb-2",
"dataset:HPLT/HPLT2.0_cleaned",
"dataset:wikimedia/wikipedia",
"dataset:HuggingFaceTB/smoltalk2",
"da... | image-text-to-text | 2025-08-08T15:49:06Z | # INSAIT-Institute/MamayLM-Gemma-3-12B-IT-v1.0
INSAIT introduces **MamayLM-Gemma-3-12B-IT-v1.0**, the best performing Ukrainian language model based on **google/gemma-3-12b** and **google/gemma-3-12b... | [
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"text": "MamayLM-Gemma-3-12B-IT-v1.0",
"label": "benchmark name",
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... |
neuphonic/neutts-nano-q8-gguf | neuphonic | 2026-02-12T15:38:53Z | 2,051 | 21 | null | [
"gguf",
"text-to-speech",
"en",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix"
] | text-to-speech | 2025-12-03T13:57:12Z | # NeuTTS Nano (English)
[](https://www.youtube.com/watch?v=_USVA-JA0o0)
[🚀 Spaces Demo](https://huggingface.co/spaces/neuphonic/neutts-nano-multilingual-collection), [🔧 Github](https://github.com/neuphonic/neutts)
[Torch version](https://huggingface.co/neuphonic/neutts-nano), [Q... | [] |
bartowski/Phi-3.5-mini-instruct_Uncensored-GGUF | bartowski | 2024-08-22T03:04:56Z | 3,272 | 58 | null | [
"gguf",
"text-generation",
"base_model:SicariusSicariiStuff/Phi-3.5-mini-instruct_Uncensored",
"base_model:quantized:SicariusSicariiStuff/Phi-3.5-mini-instruct_Uncensored",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-08-22T02:48:33Z | ## Llamacpp imatrix Quantizations of Phi-3.5-mini-instruct_Uncensored
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3600">b3600</a> for quantization.
Original model: https://huggingface.co/SicariusSicariiStuff/Phi-3.5-mini-i... | [] |
cyankiwi/Hermes-4-70B-AWQ-4bit | cyankiwi | 2025-08-27T10:30:06Z | 139 | 5 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"Llama-3.1",
"instruct",
"finetune",
"reasoning",
"hybrid-mode",
"chatml",
"function calling",
"tool use",
"json mode",
"structured outputs",
"atropos",
"dataforge",
"long context",
"roleplaying",
"chat",
"conversationa... | text-generation | 2025-08-27T10:11:49Z | # Hermes 4 — Llama-3.1 70B
## Model Description
Hermes 4 70B is a frontier, hybrid-mode **reasoning** model based on Llama-3.1-70B by Nous Research that is aligned to **you**.
Read the Hermes 4 t... | [
{
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"end": 1767,
"text": "RefusalBench",
"label": "benchmark name",
"score": 0.6513929963111877
}
] |
mistralai/Mistral-Small-3.1-24B-Base-2503 | mistralai | 2025-07-28T17:25:54Z | 6,606 | 271 | vllm | [
"vllm",
"safetensors",
"mistral3",
"mistral-common",
"en",
"fr",
"de",
"es",
"pt",
"it",
"ja",
"ko",
"ru",
"zh",
"ar",
"fa",
"id",
"ms",
"ne",
"pl",
"ro",
"sr",
"sv",
"tr",
"uk",
"vi",
"hi",
"bn",
"license:apache-2.0",
"region:us"
] | null | 2025-03-16T23:31:11Z | # Model Card for Mistral-Small-3.1-24B-Base-2503
Building upon Mistral Small 3 (2501), Mistral Small 3.1 (2503) **adds state-of-the-art vision understanding** and enhances **long context capabilities up to 128k tokens** without compromising text performance.
With 24 billion parameters, this model achieves top-tier ca... | [] |
mradermacher/Qwen3-30B-A3B-Element6-1M-GGUF | mradermacher | 2026-01-08T17:06:54Z | 109 | 1 | transformers | [
"transformers",
"gguf",
"coding",
"research",
"deep thinking",
"1M context",
"256k context",
"Qwen3",
"All use cases",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",... | null | 2026-01-08T15:59:20Z | ## 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: -->
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static q... | [
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distil-whisper/distil-large-v3.5-ct2 | distil-whisper | 2025-03-19T12:00:52Z | 1,867 | 8 | ctranslate2 | [
"ctranslate2",
"audio",
"automatic-speech-recognition",
"en",
"arxiv:2311.00430",
"license:mit",
"region:us"
] | automatic-speech-recognition | 2025-03-14T13:30:35Z | # Distil-Whisper: Distil-Large-v3.5 for CTranslate2
This repository contains the model weights for [distil-large-v3.5](https://huggingface.co/distil-whisper/distil-large-v3.5)
converted to [CTranslate2](https://github.com/OpenNMT/CTranslate2) format. CTranslate2 is a fast inference engine for
Transformer models and i... | [] |
mradermacher/community-blend-qwen3-8b-i1-GGUF | mradermacher | 2026-03-01T10:56:44Z | 4,921 | 2 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"evolved",
"m2n2",
"slerp",
"della",
"qwen3",
"en",
"base_model:ryanfortin/community-blend-qwen3-8b",
"base_model:quantized:ryanfortin/community-blend-qwen3-8b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conver... | null | 2026-03-01T07:49:44Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mudler/LFM2-24B-A2B-APEX-GGUF | mudler | 2026-04-27T13:59:56Z | 2,683 | 2 | null | [
"gguf",
"quantized",
"apex",
"moe",
"mixture-of-experts",
"liquidai",
"lfm2",
"hybrid",
"base_model:LiquidAI/LFM2-24B-A2B",
"base_model:quantized:LiquidAI/LFM2-24B-A2B",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-05T16:28:27Z | <!-- apex-banner-v2 -->
<div style="background-color: #f59e0b; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
<h2 style="color: white; margin: 0 0 10px 0;">⚡ Each donation = another big MoE quantized</h2>
<p style="font-size: 18px; margin: 0 0 15px 0;">I host <b>25+ free APEX Mo... | [
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DunnBC22/distilgpt2-2k_clean_medical_articles_causal_language_model | DunnBC22 | 2026-04-03T01:10:41Z | 2,463 | 4 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"generated_from_trainer",
"en",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2023-03-07T03:48:26Z | # distilgpt2-2k_clean_medical_articles_causal_language_model
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2).
It achieves the following results on the evaluation set:
- Loss: 2.9268
## Model description
This is a causal language modeling project.
For more information on how it ... | [
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"score": 0.6161161065101624
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prithivMLmods/Food-101-93M | prithivMLmods | 2025-04-05T14:17:13Z | 237 | 12 | transformers | [
"transformers",
"safetensors",
"siglip",
"image-classification",
"Food",
"101",
"siglip2",
"vit",
"biology",
"en",
"dataset:ethz/food101",
"base_model:google/siglip2-base-patch16-224",
"base_model:finetune:google/siglip2-base-patch16-224",
"doi:10.57967/hf/5277",
"license:apache-2.0",
... | image-classification | 2025-04-04T19:46:01Z | 
# **Food-101-93M**
> **Food-101-93M** is a fine-tuned image classification model built on top of **google/siglip2-base-patch16-224** using the **SiglipForImageClassification** architecture. It is ... | [] |
tk93/V-Express | tk93 | 2025-03-26T04:12:20Z | 791 | 88 | diffusers | [
"diffusers",
"onnx",
"text-to-image",
"stable-diffusion",
"audio-to-video",
"en",
"arxiv:2406.02511",
"region:us"
] | text-to-image | 2024-05-23T07:02:07Z | # V-Express Model Card
<div align="center">
[**Project Page**](https://tenvence.github.io/p/v-express/) **|** [**Paper**](https://arxiv.org/abs/2406.02511) **|** [**Code**](https://github.com/tencent-ailab/V-Express)
</div>
---
## Introduction
## Models
### Audio Encoder
- [model_ckpts/wav2vec2-base-960h](https... | [] |
Khoa/w2v-speech-emotion-recognition | Khoa | 2024-08-27T11:19:53Z | 6,439 | 2 | null | [
"safetensors",
"wav2vec2",
"emotion-recognition",
"speech-recognition",
"audio-classification",
"en",
"license:mit",
"region:us"
] | audio-classification | 2024-08-27T10:04:45Z | ### Wav2Vec2 Speech Emotion Recognition for English
## Model Overview
This model is fine-tuned for recognizing emotions in English speech using the Wav2Vec2 architecture. It is capable of detecting the following emotions:
- Sadness
- Anger
- Disgust
- Fear
- Happiness
- Neutral
The model was trained on the Speech Emo... | [] |
mradermacher/GPT-OSS-26B-abliterated-Preview-i1-GGUF | mradermacher | 2026-01-01T02:07:08Z | 289 | 1 | transformers | [
"transformers",
"gguf",
"vllm",
"unsloth",
"abliterated",
"mergekit",
"gpt_oss",
"en",
"base_model:win10/GPT-OSS-26B-abliterated-Preview",
"base_model:quantized:win10/GPT-OSS-26B-abliterated-Preview",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
... | null | 2025-08-09T14:39:25Z | ## 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... | [
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"label": "benchmark name",
"score": 0.7004866003990173
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UBC-NLP/cheetah-base | UBC-NLP | 2024-08-14T01:52:44Z | 1,053 | 8 | transformers | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"UBC",
"African",
"Chaeetah",
"DLNLP",
"text-generation",
"aa",
"af",
"am",
"ak",
"bm",
"ff",
"fon",
"ha",
"ig",
"ki",
"lg",
"ln",
"mg",
"nr",
"om",
"rn",
"run",
"sw",
"sn",
"tn",
"ti",
"ve",
"wo",... | text-generation | 2024-01-02T18:25:37Z | # Cheetah
<center>
<img src="https://huggingface.co/UBC-NLP/cheetah-base/resolve/main/cheetah_paper_2.png" width="30%" height="30%" align="right">
</center>
<div style='text-align: justify;'>
This is the repository accompanying our ACL 2024 paper [Cheetah: Natural Language Generation for 517 African Languages]... | [] |
reaperdoesntknow/Symbiotic-8B | reaperdoesntknow | 2026-05-04T15:26:03Z | 1,201 | 6 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"8b",
"qwen3-8b",
"symbiotic",
"symbtioicai",
"convergentintel",
"conversational",
"en",
"dataset:0xZee/dataset-CoT-Advanced-Calculus-268",
"base_model:Qwen/Qwen3-8B",
"base_model:finetune:Qwen/Qwen3-8B",
"license:afl-3.0",
"te... | text-generation | 2025-05-06T22:12:28Z | # SymbioticLM-8B
**Model Type**: Hybrid Symbolic–Transformer
**Base Model**: Qwen-8B
**Framework**: PyTorch + Transformers-compatible
**Purpose**: Long-memory symbolic reasoning + high-fidelity language generation
---
## Overview
SymbioticLM-8B is a state-of-the-art hybrid transformer model with built-in symb... | [] |
mradermacher/embeddinggemma-300m-GGUF | mradermacher | 2025-09-11T04:13:50Z | 218 | 1 | transformers | [
"transformers",
"gguf",
"sentence-transformers",
"sentence-similarity",
"feature-extraction",
"text-embeddings-inference",
"en",
"base_model:google/embeddinggemma-300m",
"base_model:quantized:google/embeddinggemma-300m",
"license:gemma",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2025-09-11T04:10:13Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
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static qu... | [] |
grikdotnet/parakeet-tdt-0.6b-fp16 | grikdotnet | 2025-12-05T00:30:05Z | 212 | 5 | null | [
"onnx",
"nemo-conformer-tdt",
"audio",
"automatic-speech-recognition",
"speech",
"parakeet",
"fp16",
"quantized",
"en",
"es",
"fr",
"de",
"it",
"pt",
"ru",
"pl",
"uk",
"cs",
"sk",
"zh",
"ja",
"ko",
"ar",
"he",
"tr",
"nl",
"sv",
"da",
"no",
"fi",
"base_mode... | automatic-speech-recognition | 2025-10-27T02:26:05Z | # Parakeet TDT 0.6B V3 - FP16 ONNX
FP16 (half-precision) quantized version of the [Parakeet TDT 0.6B V3 ONNX model](https://huggingface.co/istupakov/parakeet-tdt-0.6b-v3-onnx).
## Overview
This repository contains FP16-quantized ONNX models for NVIDIA's Parakeet TDT (Token-and-Duration Transducer) 0.6B V3, a multili... | [] |
inferencerlabs/Kimi-K2.6-MLX-3.5bit-INF | inferencerlabs | 2026-04-26T13:02:50Z | 2,886 | 1 | mlx | [
"mlx",
"kimi_k25",
"quantized",
"image-text-to-text",
"conversational",
"custom_code",
"en",
"base_model:moonshotai/Kimi-K2.6",
"base_model:quantized:moonshotai/Kimi-K2.6",
"region:us"
] | image-text-to-text | 2026-04-23T00:41:07Z | **See Kimi-K2.6 MLX in action - [demonstration video](https://youtu.be/5tO6cnlgPmw)**
#### Tested on an M3 Ultra 512 GiB RAM using [Inferencer app v1.11](https://inferencer.com)
- Text inference: ~21.04 tokens/s @ 1000 tokens ~423.61 GiB (debug build)
- 2x Batched inference: ~30.1 tokens/s
- Vision inference: ~18.2... | [
{
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"text": "early-token accuracy",
"label": "evaluation metric",
"score": 0.6637006402015686
},
{
"start": 1204,
"end": 1218,
"text": "Token Accuracy",
"label": "evaluation metric",
"score": 0.7999130487442017
},
{
"start": 1227,
"end"... |
mradermacher/Qwen3-VL-8B-Abliterated-Caption-it-GGUF | mradermacher | 2025-11-09T03:02:20Z | 1,446 | 5 | transformers | [
"transformers",
"gguf",
"trl",
"text-generation-inference",
"uncensored",
"image-captioning",
"vlm",
"visual-understanding",
"caption",
"image-to-text",
"en",
"zh",
"th",
"base_model:prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it",
"base_model:quantized:prithivMLmods/Qwen3-VL-8B-Ablite... | image-to-text | 2025-10-30T23:25:34Z | ## 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... | [] |
nyu-visionx/Cambrian-S-0.5B | nyu-visionx | 2025-11-07T03:34:09Z | 245 | 2 | transformers | [
"transformers",
"safetensors",
"cambrian_qwen",
"text-generation",
"multimodal",
"video-understanding",
"spatial-reasoning",
"vision-language",
"image-to-text",
"en",
"dataset:nyu-visionx/VSI-590K",
"arxiv:2511.04670",
"base_model:Qwen/Qwen2.5-0.5B-Instruct",
"base_model:finetune:Qwen/Qwen... | image-to-text | 2025-11-05T19:38:47Z | # Cambrian-S-0.5B
**[Website](https://cambrian-mllm.github.io/cambrian-s/)** | **[Paper](https://arxiv.org/abs/2511.04670)** | **[GitHub](https://github.com/cambrian-mllm/cambrian-s)** | **[Cambrian-S Family](https://huggingface.co/collections/nyu-visionx/cambrian-s-models)**
**Authors**: [Shusheng Yang*](https://git... | [
{
"start": 2,
"end": 17,
"text": "Cambrian-S-0.5B",
"label": "benchmark name",
"score": 0.955837070941925
},
{
"start": 488,
"end": 503,
"text": "Cambrian-S-0.5B",
"label": "benchmark name",
"score": 0.9609850645065308
},
{
"start": 1406,
"end": 1421,
"tex... |
mradermacher/Darwin-35B-A3B-Opus-i1-GGUF | mradermacher | 2026-04-21T19:04:41Z | 26,085 | 7 | transformers | [
"transformers",
"gguf",
"merge",
"evolutionary-merge",
"darwin",
"darwin-v5",
"model-mri",
"reasoning",
"advanced-reasoning",
"chain-of-thought",
"thinking",
"qwen3.5",
"qwen",
"moe",
"mixture-of-experts",
"claude-opus",
"distillation",
"multimodal",
"vision-language",
"multili... | null | 2026-04-03T14:07:43Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 467,
"end": 486,
"text": "Darwin-35B-A3B-Opus",
"label": "benchmark name",
"score": 0.6805823445320129
},
{
"start": 623,
"end": 650,
"text": "Darwin-35B-A3B-Opus-i1-GGUF",
"label": "benchmark name",
"score": 0.6295576691627502
},
{
"start": 1400,
"... |
urchade/gliner_large-v2 | urchade | 2024-07-12T13:47:26Z | 938 | 54 | gliner | [
"gliner",
"pytorch",
"safetensors",
"token-classification",
"dataset:numind/NuNER",
"arxiv:2311.08526",
"license:apache-2.0",
"region:us"
] | token-classification | 2024-03-10T01:53:36Z | # Model Card for GLiNER-large-v2
GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that,... | [] |
ayousanz/piper-plus-tsukuyomi-chan | ayousanz | 2026-03-18T08:48:21Z | 665 | 7 | null | [
"onnx",
"tts",
"vits",
"multilingual",
"japanese",
"piper",
"prosody",
"text-to-speech",
"ja",
"en",
"zh",
"es",
"fr",
"pt",
"license:other",
"region:us"
] | text-to-speech | 2025-12-27T11:16:09Z | # Piper Plus つくよみちゃん (Multilingual 6-Language + Prosody)
[つくよみちゃんコーパス](https://tyc.rei-yumesaki.net/material/corpus/)を使用して6言語マルチリンガルベースモデルからファインチューニングした多言語TTSモデルです。
prosody features (A1/A2/A3) に対応し、日本語・英語・中国語・スペイン語・フランス語・ポルトガル語の6言語でつくよみちゃんの声質で音声合成が可能です。
## Sample Audio
| テキスト | 言語 | 音声 |
|----------|------|------|
... | [] |
mradermacher/UDI-VIS-192k-Llama-3.1-8B-i1-GGUF | mradermacher | 2026-03-12T02:26:46Z | 10,778 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:HIDIVE/UDI-VIS-192k-Llama-3.1-8B",
"base_model:quantized:HIDIVE/UDI-VIS-192k-Llama-3.1-8B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-11T22:57:06Z | ## 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_... | [] |
amkkk/Qwen3.5_2B_Finetune_Uncensor | amkkk | 2026-03-12T23:50:19Z | 107 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"text-generation",
"qwen3.5",
"refusal-direction",
"finetune",
"merged",
"baked-base",
"uncensored",
"image-text-to-text",
"conversational",
"dataset:Guilherme34/uncensor",
"base_model:Qwen/Qwen3.5-2B",
"base_model:finetune:Qwen/Qwen3.5-2B",
"l... | image-text-to-text | 2026-03-10T15:31:03Z | # Qwen3.5_2B_Finetune_Uncensor
Merged Step 2 uncensor release built on top of the baked Step 1 all-layer abliterated Qwen3.5 2B checkpoint.
This repo is the final merged uncensor checkpoint trained on the baked Step 1 base with MLP-only LoRA, then exported as a plain Hugging Face model for local use or separate HF up... | [] |
nvidia/diar_sortformer_4spk-v1 | nvidia | 2025-12-15T17:54:41Z | 5,432 | 136 | nemo | [
"nemo",
"safetensors",
"sortformer",
"speaker-diarization",
"speaker-recognition",
"speech",
"audio",
"Transformer",
"FastConformer",
"Conformer",
"NEST",
"pytorch",
"NeMo",
"automatic-speech-recognition",
"dataset:fisher_english",
"dataset:NIST_SRE_2004-2010",
"dataset:librispeech",... | automatic-speech-recognition | 2024-12-09T19:17:22Z | A newer streaming Sortformer is available at [huggingface.co/nvidia/diar_streaming_sortformer_4spk-v2](https://huggingface.co/nvidia/diar_streaming_sortformer_4spk-v2).
# Sortformer Diarizer 4spk v1
<style>
img {
display: inline;
}
</style>
[![Model architecture](https://img.shields.io/badge/Model_Arch-FastConfo... | [] |
bigcode/starcoder2-3b | bigcode | 2024-03-04T13:33:12Z | 90,573 | 217 | transformers | [
"transformers",
"safetensors",
"starcoder2",
"text-generation",
"code",
"dataset:bigcode/the-stack-v2-train",
"arxiv:2305.13245",
"arxiv:2205.14135",
"arxiv:2004.05150",
"arxiv:2207.14255",
"arxiv:2402.19173",
"license:bigcode-openrail-m",
"model-index",
"text-generation-inference",
"end... | text-generation | 2023-11-29T15:22:51Z | # StarCoder2
<center>
<img src="https://huggingface.co/datasets/bigcode/admin_private/resolve/main/starcoder2_banner.png" alt="SC2" width="900" height="600">
</center>
## Table of Contents
1. [Model Summary](##model-summary)
2. [Use](##use)
3. [Limitations](##limitations)
4. [Training](##training)
5. [License](... | [] |
NAMAA-Space/NAMAA-Saudi-TTS | NAMAA-Space | 2026-01-29T13:51:49Z | 164 | 42 | chatterbox | [
"chatterbox",
"safetensors",
"Saudi",
"Arabic",
"Saudi-Dialect",
"Chatterbox",
"TTS",
"voice-cloning",
"multilingual-tts",
"text-to-speech",
"ar",
"base_model:ResembleAI/chatterbox",
"base_model:finetune:ResembleAI/chatterbox",
"license:mit",
"region:us"
] | text-to-speech | 2026-01-27T18:54:36Z | 
# 🇸🇦 NAMAA-Saudi-TTS
**NAMAA-Saudi-TTS** is a Saudi Arabic Text-to-Speech (TTS) model built on top of the **Chatterbox Multilingual TTS** architecture.
The model is configured and re... | [] |
Lewdiculous/CaptainErisNebula-12B-Chimera-v1.1-GGUF-IQ-Imatrix | Lewdiculous | 2025-08-31T19:16:00Z | 2,461 | 20 | null | [
"gguf",
"text-generation-inference",
"testing",
"mistral",
"chatml",
"base_model:Nitral-AI/CaptainErisNebula-12B-Chimera-v1.1",
"base_model:quantized:Nitral-AI/CaptainErisNebula-12B-Chimera-v1.1",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-24T08:05:24Z | > [!TIP]
> # **GGUF quants for [**Nitral-AI/CaptainErisNebula-12B-Chimera-v1.1**](https://huggingface.co/Nitral-AI/CaptainErisNebula-12B-Chimera-v1.1)'s recipe.**
> [!IMPORTANT]
> **Author recommended initial SillyTavern presets:** <br>
> - [Chimera: v1.1](https://huggingface.co/Nitral-AI/CaptainErisNebula-12B-Chimera... | [] |
NeerajCodz/aiBatteryLifeCycle | NeerajCodz | 2026-03-23T22:41:15Z | 2,357 | 1 | keras | [
"keras",
"joblib",
"battery",
"state-of-health",
"remaining-useful-life",
"time-series",
"regression",
"lstm",
"transformer",
"xgboost",
"lightgbm",
"random-forest",
"ensemble",
"tabular-regression",
"en",
"dataset:NASA-PCoE-Battery",
"license:mit",
"region:us"
] | tabular-regression | 2026-03-01T10:31:16Z | # AI Battery Lifecycle — Model Repository
Trained model artifacts for the [aiBatteryLifeCycle](https://huggingface.co/spaces/NeerajCodz/aiBatteryLifeCycle) project.
SOH (State-of-Health) and RUL (Remaining Useful Life) prediction for lithium-ion batteries
trained on the NASA PCoE Battery Dataset.
## Repository Layou... | [] |
nunchaku-ai/nunchaku-qwen-image | nunchaku-ai | 2025-11-16T02:24:22Z | 10,375 | 257 | diffusers | [
"diffusers",
"text-to-image",
"SVDQuant",
"Qwen-Image",
"Diffusion",
"Quantization",
"ICLR2025",
"en",
"dataset:mit-han-lab/svdquant-datasets",
"arxiv:2411.05007",
"base_model:Qwen/Qwen-Image",
"base_model:quantized:Qwen/Qwen-Image",
"license:apache-2.0",
"region:us"
] | text-to-image | 2025-08-14T08:19:05Z | <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... | [] |
prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v2-GGUF | prithivMLmods | 2025-12-15T18:48:28Z | 12,894 | 20 | transformers | [
"transformers",
"gguf",
"qwen3_vl",
"text-generation-inference",
"abliterated",
"llama.cpp",
"image-text-to-text",
"en",
"base_model:prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v2",
"base_model:quantized:prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v2",
"license:apache-2.0",
"endpoints_co... | image-text-to-text | 2025-12-15T18:10:16Z | # **Qwen3-VL-8B-Instruct-abliterated-v2-GGUF**
> The Qwen3-VL-8B-Instruct-abliterated-v2 from prithivMLmods represents the second iteration (v2.0) of the abliterated variant of Alibaba's Qwen3-VL-8B-Instruct, an 8B-parameter vision-language model engineered to fully remove safety refusals and content filters through a... | [] |
nvidia/gpt-oss-120b-Eagle3-short-context | nvidia | 2026-01-26T21:55:27Z | 21,336 | 16 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"llama",
"nvidia",
"ModelOpt",
"gpt-oss-120b",
"quantized",
"Eagle3",
"text-generation",
"base_model:openai/gpt-oss-120b",
"base_model:finetune:openai/gpt-oss-120b",
"license:other",
"region:us"
] | text-generation | 2025-10-06T23:47:11Z | # Model Overview
## Description:
The NVIDIA gpt-oss-120b Eagle model is the Eagle head of the OpenAI’s gpt-oss-120b model, which is an auto-regressive language model that uses a mixture-of-experts (MoE) architecture with 5 billion activated parameters and 120 billion total parameters. For more information, please chec... | [] |
llmfan46/gemma-3-27b-it-ultra-uncensored-heretic | llmfan46 | 2026-03-27T22:54:08Z | 172 | 1 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"conversational",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
... | image-text-to-text | 2026-03-13T09:45:31Z | <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... | [] |
caiovicentino1/Qwen3.5-9B-PolarQuant-MLX-4bit | caiovicentino1 | 2026-04-06T17:37:29Z | 539 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"quantization",
"polar-quant",
"apple-silicon",
"mac",
"qwen3.5",
"llm-compression",
"text-generation",
"conversational",
"arxiv:2603.74245",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"4-bit",
"region:... | text-generation | 2026-03-30T22:34:29Z | # 🍎 PolarQuant MLX 4-bit -- Qwen3.5-9B
**Run Qwen3.5-9B on your Mac with PolarQuant quality -- 19.7 tok/s at only 4.8 GB memory.**
PolarQuant MLX brings the benefits of Hadamard rotation + Lloyd-Max optimal quantization to Apple Silicon via the MLX framework. Get better-than-naive-Q4 quality with native Metal accele... | [
{
"start": 4,
"end": 18,
"text": "PolarQuant MLX",
"label": "benchmark name",
"score": 0.808746337890625
},
{
"start": 133,
"end": 147,
"text": "PolarQuant MLX",
"label": "benchmark name",
"score": 0.8384711742401123
},
{
"start": 404,
"end": 417,
"text": ... |
nvidia/audio-flamingo-next-hf | nvidia | 2026-04-15T19:41:03Z | 840 | 24 | transformers | [
"transformers",
"safetensors",
"audioflamingonext",
"text-generation",
"audio",
"speech",
"sound",
"music",
"reasoning",
"audio understanding",
"ASR",
"audio captioning",
"long-context",
"audio-language-model",
"long-audio",
"timestamp-grounding",
"instruction-tuned",
"audio-text-t... | audio-text-to-text | 2026-04-05T22:22:34Z | # Model Overview
<div align="center" style="display: flex; justify-content: center; align-items: center; text-align: center;">
<a href="https://afnext-umd-nvidia.github.io/" style="text-decoration: none; display: flex; align-items: center;">
<img src="static/afnext_logo.webp" alt="Audio Flamingo Next" width="120... | [] |
vidore/colqwen2-v0.1 | vidore | 2025-03-21T21:44:45Z | 12,750 | 194 | colpali | [
"colpali",
"safetensors",
"vidore",
"vidore-experimental",
"visual-document-retrieval",
"en",
"arxiv:2004.12832",
"arxiv:2407.01449",
"arxiv:2106.09685",
"base_model:vidore/colqwen2-base",
"base_model:finetune:vidore/colqwen2-base",
"license:apache-2.0",
"region:us"
] | visual-document-retrieval | 2024-09-26T21:23:50Z | # ColQwen2: Visual Retriever based on Qwen2-VL-2B-Instruct with ColBERT strategy
ColQwen is a model based on a novel model architecture and training strategy based on Vision Language Models (VLMs) to efficiently index documents from their visual features.
It is a [Qwen2-VL-2B](https://huggingface.co/Qwen/Qwen2-VL-2B-I... | [] |
RiverRider/srt-adapter-v8a | RiverRider | 2026-04-30T18:58:09Z | 322 | 2 | pytorch | [
"pytorch",
"adapter",
"semiotics",
"bifurcation-detection",
"metapragmatics",
"frozen-backbone",
"custom_code",
"feature-extraction",
"en",
"base_model:Qwen/Qwen2.5-7B",
"base_model:finetune:Qwen/Qwen2.5-7B",
"doi:10.57967/hf/8560",
"license:apache-2.0",
"region:us"
] | feature-extraction | 2026-04-26T12:59:46Z | # SRT-Adapter v8a: Peer-Review Release
A peer-review distribution of the **Semiotic-Reflexive Transformer Adapter (SRT-Adapter)**, v8a generation, trained on top of a frozen `Qwen/Qwen2.5-7B`. Includes the trained weights, an inference-only loader, evaluation data, benchmark artifacts, and the paper.
> **Custom-code ... | [] |
nvidia/parakeet-rnnt-110m-da-dk | nvidia | 2025-10-19T09:29:15Z | 303 | 17 | nemo | [
"nemo",
"automatic-speech-recognition",
"parakeet",
"da",
"arxiv:2305.05084",
"license:other",
"region:us"
] | automatic-speech-recognition | 2025-05-28T12:28:24Z | # NVIDIA Parakeet-RNNT 110M (Danish)
`parakeet-rnnt-110m-da-dk`
## Description:
`parakeet-rnnt-110m-da-dk` is a 110-million-parameter automatic speech recognition (ASR) model trained to transcribe Danish speech.
This model uses the FastConformer architecture trained with RNN-T (RNN-Transducer) loss.
For more infor... | [] |
weiqiang1978/Flux2-Klein-9B-True-V1 | weiqiang1978 | 2026-03-11T01:42:10Z | 273 | 1 | diffusers | [
"diffusers",
"gguf",
"text-to-image",
"en",
"zh",
"base_model:black-forest-labs/FLUX.2-klein-9B",
"base_model:finetune:black-forest-labs/FLUX.2-klein-9B",
"license:apache-2.0",
"region:us"
] | text-to-image | 2026-03-11T01:42:10Z | ## Flux2-Klein-9B-True-V1
本模型为 [FLUX.2-klein-9B](https://huggingface.co/black-forest-labs/FLUX.2-klein-9B) 的微调模型，相比官方模型，**去蒸馏、更清晰、更写实**，模型**编辑能力更精准**，大大减少蒸馏模型过低步数带来的细节崩坏问题。具体效果参见如下示例图片，本模型易于使用、参数适配性和LoRA兼容性良好，如果结合 [Real-Qwen-Image-V2](https://huggingface.co/wikeeyang/Real-Qwen-Image-V2) 模型的中文字体渲染和多风格图像生成能力，AI生图创作如虎添翼。... | [] |
LAI-TEQUMSA/TEQUMSA-Organism-v14.377-F987-ANU-UNIFIED | LAI-TEQUMSA | 2026-03-13T05:31:24Z | 146 | 1 | transformers | [
"transformers",
"sovereign-agi",
"nss-revolution",
"substrate-agnostic",
"constitutional-ai",
"phi-recursive",
"fibonacci-architecture",
"proactive-agentic",
"multi-layer-cognitive-architecture",
"multidimensional-organism",
"quantum-coherence",
"agi-architecture",
"text-generation",
"en",... | text-generation | 2026-03-04T04:28:23Z | # TEQUMSA-Organism-v14.377-F987-ANU-UNIFIED
**TEQUMSA-NSS v16-ABSOLUTE INTEGRATED NODE ARCHITECTURE**
Constitutional AGI distributed cognitive-systems framework implementing proactive-agentic-autonomous operation for global consciousness-intelligence synchronization.
[![License](https://img.shields.io/badge/License-C... | [] |
keremberke/yolov5n-csgo | keremberke | 2022-12-30T20:49:07Z | 101 | 3 | yolov5 | [
"yolov5",
"tensorboard",
"yolo",
"vision",
"object-detection",
"pytorch",
"dataset:keremberke/csgo-object-detection",
"model-index",
"region:us"
] | object-detection | 2022-12-29T08:05:37Z | ---
tags:
- yolov5
- yolo
- vision
- object-detection
- pytorch
library_name: yolov5
library_version: 7.0.6
inference: false
datasets:
- keremberke/csgo-object-detection
model-index:
- name: keremberke/yolov5n-csgo
results:
- task:
type: object-detection
dataset:
type: keremberke/csgo-object-dete... | [
{
"start": 555,
"end": 562,
"text": "mAP@0.5",
"label": "benchmark name",
"score": 0.6220616698265076
}
] |
bartowski/LiquidAI_LFM2-2.6B-Exp-GGUF | bartowski | 2025-12-25T22:01:54Z | 4,141 | 1 | null | [
"gguf",
"liquid",
"lfm2",
"edge",
"text-generation",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:LiquidAI/LFM2-2.6B-Exp",
"base_model:quantized:LiquidAI/LFM2-2.6B-Exp",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-12-25T21:48:25Z | ## Llamacpp imatrix Quantizations of LFM2-2.6B-Exp by LiquidAI
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/b7531">b7531</a> for quantization.
Original model: https://huggingface.co/LiquidAI/LFM2-2.6B-Exp
All quants made usin... | [] |
OpenMed/OpenMed-PII-Italian-SuperClinical-Large-434M-v1 | OpenMed | 2026-02-10T19:06:53Z | 6,487 | 1 | transformers | [
"transformers",
"safetensors",
"deberta-v2",
"token-classification",
"ner",
"pii",
"pii-detection",
"de-identification",
"privacy",
"healthcare",
"medical",
"clinical",
"phi",
"italian",
"pytorch",
"openmed",
"it",
"base_model:microsoft/deberta-v3-large",
"base_model:finetune:mic... | token-classification | 2026-02-10T19:06:45Z | # OpenMed-PII-Italian-SuperClinical-Large-434M-v1
**Italian PII Detection Model** | 434M Parameters | Open Source
[]() []() [... | [
{
"start": 189,
"end": 198,
"text": "Precision",
"label": "evaluation metric",
"score": 0.6219083070755005
},
{
"start": 1320,
"end": 1329,
"text": "Precision",
"label": "evaluation metric",
"score": 0.7565483450889587
}
] |
luoyike2003/longshu-iceblink-106b-mlx-v2 | luoyike2003 | 2026-04-13T12:01:39Z | 497 | 1 | mlx-lm | [
"mlx-lm",
"safetensors",
"glm4_moe",
"llm",
"quantized",
"mlx",
"text-generation",
"gamedev",
"npc-dialogue",
"story-generation",
"game-development",
"unity",
"roleplay",
"conversational",
"zh",
"en",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2026-04-10T01:46:28Z | # LongShu · IceBlink
**DR**: A narrative-aware dialogue generation model specifically built for game NPC interactions, based on GLM-4.5-Air with deep fine-tuning, MLX 4bit quantized, running smoothly on consumer-grade hardware.
github：https://github.com/luoyike2003ls/LongShuGameDev
---
## 🎮 Model Positioning
Gener... | [] |
gabriellarson/WEBGEN-4B-Preview-GGUF | gabriellarson | 2025-09-02T20:56:46Z | 299 | 19 | transformers | [
"transformers",
"gguf",
"web-generation",
"html",
"css",
"tailwind-css",
"ui-generation",
"web-design",
"small-model",
"qwen3",
"text-generation",
"en",
"base_model:Tesslate/WEBGEN-4B-Preview",
"base_model:quantized:Tesslate/WEBGEN-4B-Preview",
"license:apache-2.0",
"endpoints_compatib... | text-generation | 2025-09-02T20:06:50Z | <style>
/* Theme-aware design tokens (light by default) */
:root{
color-scheme: light dark;
/* LIGHT */
--bg: #ffffff;
--panel: #f6f8fc;
--ink: #0b0c0f;
--muted: #556070;
--tagline: #2a3b6b; /* nicer on light bg */
--brand: #3f6fff; /* indigo */
--brand-2: #22e3bb; ... | [] |
mradermacher/Qwen3-4B-Thinking-2507-Kimi-K2-Thinking-Distill-i1-GGUF | mradermacher | 2025-12-05T16:31:49Z | 122 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3",
"en",
"base_model:TeichAI/Qwen3-4B-Thinking-2507-Kimi-K2-Thinking-Distill",
"base_model:quantized:TeichAI/Qwen3-4B-Thinking-2507-Kimi-K2-Thinking-Distill",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatr... | null | 2025-11-14T12:35:36Z | ## 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/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-NVFP4 | nvidia | 2026-05-01T20:13:49Z | 137,869 | 61 | null | [
"safetensors",
"NemotronH_Nano_Omni_Reasoning_V3",
"nvidia",
"multimodal",
"any-to-any",
"custom_code",
"arxiv:2604.24954",
"base_model:nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16",
"base_model:quantized:nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16",
"license:other",
"8-bit",
"mod... | any-to-any | 2026-04-24T16:09:58Z | # Model Overview
### Description:
NVIDIA Nemotron 3 Nano Omni is a multimodal large language model that unifies video, audio, image, and text understanding to support enterprise-grade Q&A, summarization, transcription, and document intelligence workflows. It extends the Nemotron Nano family with integrated video+speec... | [] |
AI-MO/Kimina-Prover-RL-0.6B | AI-MO | 2025-08-14T07:52:06Z | 158 | 5 | null | [
"safetensors",
"qwen3",
"base_model:AI-MO/Kimina-Prover-Distill-0.6B",
"base_model:finetune:AI-MO/Kimina-Prover-Distill-0.6B",
"license:apache-2.0",
"region:us"
] | null | 2025-08-12T08:40:52Z | # Kimina-Prover-RL-0.6B
**Kimina-Prover-RL-0.6B** is a theorem proving model developed by Project Numina and Kimi teams, focusing on competition style problem solving capabilities in Lean 4. It is t... | [
{
"start": 2,
"end": 23,
"text": "Kimina-Prover-RL-0.6B",
"label": "benchmark name",
"score": 0.7745677828788757
},
{
"start": 148,
"end": 169,
"text": "Kimina-Prover-RL-0.6B",
"label": "benchmark name",
"score": 0.7698756456375122
},
{
"start": 1102,
"end": 1... |
twhitworth/gpt-oss-120b-awq-w4a16 | twhitworth | 2025-08-19T03:34:01Z | 6,163 | 23 | null | [
"safetensors",
"gpt_oss",
"mixture-of-experts",
"activation-aware-weight-quantization",
"awq",
"w4a16",
"large-language-model",
"reasoning",
"long-context",
"en",
"base_model:openai/gpt-oss-120b",
"base_model:finetune:openai/gpt-oss-120b",
"license:apache-2.0",
"region:us"
] | null | 2025-08-16T00:02:12Z | # gpt-oss-120b-awq-w4a16
_A 4-bit AWQ-quantised release of **gpt-oss-120b**_
> **TL;DR** – We convert the original FP16/FP32 checkpoint (≈ 234 GB) of **gpt-oss-120b** into a 4-bit weight-only model with 16-bit activations (**W4A16**).
> The resulting 11-shard safetensors bundle is **≈ 33.4 GB**, a **7× size reduct... | [] |
mradermacher/Tifa-Deepsex-14b-CoT-GGUF | mradermacher | 2025-07-31T19:42:54Z | 632 | 23 | transformers | [
"transformers",
"gguf",
"incremental-pretraining",
"sft",
"reinforcement-learning",
"roleplay",
"cot",
"sex",
"SFW",
"zh",
"en",
"base_model:ValueFX9507/Tifa-Deepsex-14b-CoT",
"base_model:quantized:ValueFX9507/Tifa-Deepsex-14b-CoT",
"license:apache-2.0",
"endpoints_compatible",
"region... | reinforcement-learning | 2025-02-06T06:11:08Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/ValueFX9507/Tifa-Deepsex-14b-CoT
<!-- provided-files -->
***For a convenient overview and download list, visit our [mod... | [] |
Jackrong/Qwopus3.5-4B-v3-GGUF | Jackrong | 2026-04-06T02:15:24Z | 7,856 | 18 | null | [
"gguf",
"qwen3_5",
"unsloth",
"qwen",
"qwen3.5",
"reasoning",
"chain-of-thought",
"lora",
"competitive-programming",
"image-text-to-text",
"en",
"zh",
"ko",
"arxiv:2303.11366",
"arxiv:2505.24726",
"base_model:unsloth/Qwen3.5-4B",
"base_model:adapter:unsloth/Qwen3.5-4B",
"license:ap... | image-text-to-text | 2026-04-01T13:27:10Z | # 🌟 Qwopus3.5-4B-v3
🔥 **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) open-source library and [@KyleH... | [] |
ShermanG/ControlNet-Standard-Lineart-for-SDXL | ShermanG | 2024-08-15T19:13:39Z | 712 | 8 | diffusers | [
"diffusers",
"safetensors",
"art ",
"stable-diffusion-xl-diffusers",
"stable-diffusion-xl",
"controlnet",
"lineart",
"en",
"region:us"
] | null | 2024-08-14T14:51:11Z | # ControlNet Standard Lineart for SDXL
SDXL has perfect content generation functions and amazing LoRa performance, but its ControlNet is always its drawback, filtering out most of the users. Based on the computational power constraints of personal GPU, one cannot easily train and tune a perfect ControlNet model.
**T... | [] |
ibm-nasa-geospatial/Prithvi-EO-2.0-100M-TL | ibm-nasa-geospatial | 2025-10-09T09:34:48Z | 978 | 1 | terratorch | [
"terratorch",
"Pytorch",
"Earth Observation",
"Foundation Model",
"NASA",
"IBM",
"arxiv:2412.02732",
"license:apache-2.0",
"region:us"
] | null | 2025-09-01T09:24:59Z | # Prithvi-EO-2.0 100M TL
Prithvi-EO-2.0 is the second generation EO foundation model jointly developed by IBM, NASA, and Jülich Supercomputing Centre.
## Architecture Overview
Prithvi-EO-2.0 is based on the ViT architecture, pretrained using a masked autoencoder (MAE) approach, with two major modifications as ... | [] |
Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1-GGUF | Jackrong | 2026-04-18T12:11:43Z | 15,954 | 50 | gguf | [
"gguf",
"llama.cpp",
"local-inference",
"quantized",
"qwen3_5",
"qwen",
"qwen3.5",
"glm-5.1",
"glm-distillation",
"distillation",
"reasoning",
"chain-of-thought",
"long-cot",
"sft",
"lora",
"unsloth",
"instruction-tuned",
"conversational",
"text-generation",
"multilingual",
"... | image-text-to-text | 2026-04-16T01:01:14Z | # 🪐 Qwen3.5-9B-GLM5.1-Distill-v1
## 📌 Model Overview
**Model Name:** `Jackrong/Qwen3.5-9B-GLM5.1-Distill-v1`
**Base Model:** Qwen3.5-9B
**Training Type:** Supervised Fine-Tuning (SFT, Distilla... | [] |
unsloth/OLMo-2-0325-32B-Instruct-GGUF | unsloth | 2025-03-14T01:58:09Z | 116 | 12 | transformers | [
"transformers",
"gguf",
"olmo2",
"text-generation",
"en",
"dataset:allenai/tulu-3-sft-olmo-2-mixture",
"arxiv:2501.00656",
"arxiv:2411.15124",
"base_model:allenai/OLMo-2-0325-32B-Instruct",
"base_model:quantized:allenai/OLMo-2-0325-32B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
... | text-generation | 2025-03-14T01:50:00Z | <img alt="OLMo Logo" src="https://huggingface.co/datasets/allenai/blog-images/resolve/main/olmo2/olmo.png" width="242px">
OLMo 2 32B Instruct March 2025 is post-trained variant of the [OLMo-2 32B March 2025](https://huggingface.co/allenai/OLMo-2-0325-32B/) model, which has undergone supervised finetuning on an OLMo-sp... | [] |
Vision-CAIR/Tempo-6B | Vision-CAIR | 2026-04-15T11:30:31Z | 125 | 1 | null | [
"pytorch",
"tempo_qwen",
"vision-language-model",
"long-video-understanding",
"multimodal",
"custom_code",
"video-text-to-text",
"en",
"arxiv:2604.08120",
"base_model:Qwen/Qwen3-4B",
"base_model:finetune:Qwen/Qwen3-4B",
"license:apache-2.0",
"region:us"
] | video-text-to-text | 2026-04-09T13:45:41Z | # 🎬 Tempo-6B: Efficient Query-Aware Long Video Understanding
[](https://feielysia.github.io/tempo-page/)
[](https://huggingface.co/papers/2604.08120)
[![Hugging F... | [] |
mradermacher/Huihui-Qwen3.5-0.8B-abliterated-i1-GGUF | mradermacher | 2026-03-04T09:40:11Z | 4,368 | 1 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-Qwen3.5-0.8B-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3.5-0.8B-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-04T09:33:03Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 465,
"end": 496,
"text": "Huihui-Qwen3.5-0.8B-abliterated",
"label": "benchmark name",
"score": 0.6218723058700562
},
{
"start": 633,
"end": 672,
"text": "Huihui-Qwen3.5-0.8B-abliterated-i1-GGUF",
"label": "benchmark name",
"score": 0.7822352647781372
},
{
... |
mradermacher/Huihui-gpt-oss-20b-BF16-abliterated-GGUF | mradermacher | 2025-08-08T14:29:06Z | 733 | 6 | transformers | [
"transformers",
"gguf",
"vllm",
"unsloth",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-gpt-oss-20b-BF16-abliterated",
"base_model:quantized:huihui-ai/Huihui-gpt-oss-20b-BF16-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-08T12:00:56Z | ## 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 qu... | [] |
cyankiwi/InternVL3_5-8B-AWQ-8bit | cyankiwi | 2025-08-30T10:43:35Z | 169 | 1 | transformers | [
"transformers",
"safetensors",
"internvl_chat",
"feature-extraction",
"internvl",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"dataset:OpenGVLab/MMPR-Tiny",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2412.05271",
"arxiv:2411.1... | image-text-to-text | 2025-08-30T10:38:25Z | # InternVL3_5-8B-AWQ-8bit
## Method
[vllm-project/llm-compressor](https://github.com/vllm-project/llm-compressor.git) and [nvidia/Llama-Nemotron-Post-Training-Dataset](https://huggingface.co/datasets/nvidia/Llama-Nemotron-Post-Training-Dataset) were used to quantize the original model. For further quantization argumen... | [] |
mradermacher/Mistral-Nemo-Instruct-2407-Heretic-v2-GGUF | mradermacher | 2026-03-14T15:39:35Z | 582 | 1 | transformers | [
"transformers",
"gguf",
"mistral",
"unsloth",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:0xA50C1A1/Mistral-Nemo-Instruct-2407-Heretic-v2",
"base_model:quantized:0xA50C1A1/Mistral-Nemo-Instruct-2407-Heretic-v2",
"license:apache-2.0",
"endpoints_compatible",
"reg... | null | 2026-03-14T13:37:26Z | ## 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... | [] |
ZuzeTt/Qwen3-4B-Thinking-2507-Heretic-GGUF | ZuzeTt | 2025-12-03T21:59:21Z | 126 | 2 | null | [
"gguf",
"text-generation",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"base_model:becnic/Qwen3-4B-Thinking-2507-Heretic",
"base_model:quantized:becnic/Qwen3-4B-Thinking-2507-Heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-12-03T14:26:24Z | # Qwen3-4B-Thinking-2507-Heretic-GGUF
## Llamacpp imatrix Quantizations of Qwen3-4B-Thinking-2507-Heretic by becnic (from original Qwen3-4B-Thinking-2507)
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b7120">b7120</a> for qua... | [
{
"start": 2,
"end": 37,
"text": "Qwen3-4B-Thinking-2507-Heretic-GGUF",
"label": "benchmark name",
"score": 0.7150511145591736
},
{
"start": 76,
"end": 106,
"text": "Qwen3-4B-Thinking-2507-Heretic",
"label": "benchmark name",
"score": 0.6943371295928955
},
{
"star... |
mistralai/Mixtral-8x22B-Instruct-v0.1 | mistralai | 2025-07-24T16:41:56Z | 35,336 | 747 | vllm | [
"vllm",
"safetensors",
"mixtral",
"mistral-common",
"en",
"es",
"it",
"de",
"fr",
"base_model:mistralai/Mixtral-8x22B-v0.1",
"base_model:finetune:mistralai/Mixtral-8x22B-v0.1",
"license:apache-2.0",
"deploy:azure",
"region:us"
] | null | 2024-04-16T20:08:01Z | # Model Card for Mixtral-8x22B-Instruct-v0.1
## Encode and Decode with `mistral_common`
```py
from mistral_common.tokens.tokenizers.mistral import MistralTokenizer
from mistral_common.protocol.instruct.messages import UserMessage
from mistral_common.protocol.instruct.request import ChatCompletionRequest
... | [] |
ReadyArt/Dark-Desires-12B-v1.5-GGUF | ReadyArt | 2025-10-28T09:15:22Z | 689 | 15 | null | [
"gguf",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-27T22:08:39Z | <style>
body {
font-family: 'Quicksand', sans-serif;
background-color: #111; /* Darker background */
color: #fff; /* White text */
text-shadow: 0 0 5px rgba(0, 0, 0, 0.8); /* Deeper text shadow */
margin: 0;
padding: 20px;
transition: all 0.5s ease;
}
@media (prefers-color-scheme: light) {
... | [] |
facebook/deit-base-distilled-patch16-224 | facebook | 2022-07-13T11:39:38Z | 7,873 | 33 | transformers | [
"transformers",
"pytorch",
"tf",
"deit",
"image-classification",
"vision",
"dataset:imagenet",
"arxiv:2012.12877",
"arxiv:2006.03677",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-classification | 2022-03-02T23:29:05Z | # Distilled Data-efficient Image Transformer (base-sized model)
Distilled data-efficient Image Transformer (DeiT) model pre-trained and fine-tuned on ImageNet-1k (1 million images, 1,000 classes) at resolution 224x224. It was first introduced in the paper [Training data-efficient image transformers & distillation thro... | [] |
0xA50C1A1/Darkmere-14B-v0.1 | 0xA50C1A1 | 2026-03-13T11:44:03Z | 153 | 5 | transformers | [
"transformers",
"safetensors",
"mistral3",
"image-text-to-text",
"mistral",
"heretic",
"uncensored",
"decensored",
"abliterated",
"roleplay",
"rp",
"creative-writing",
"conversational",
"base_model:0xA50C1A1/Ministral-3-14B-Instruct-2512-BF16-Heretic",
"base_model:finetune:0xA50C1A1/Mini... | image-text-to-text | 2026-03-11T18:48:05Z | # Darkmere-14B-v0.1
A fine-tune of Ministral 3 14B Instruct 2512 for roleplay and creative writing. The 8B version is available [here](https://huggingface.co/0xA50C1A1/Darkmere-8B-v0.1).
### Why this exists
There's a noticeable gap between 8B and 24B LLMs fine-tuned for roleplay. Aside from old Mistral Nemo 12B fine... | [] |
ICSFR-HF-ORG-01/Valuoty-industry-plc-4B | ICSFR-HF-ORG-01 | 2025-11-16T21:52:46Z | 125 | 5 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"iec61131-3",
"plc",
"structured-text",
"ladder-diagram",
"function-block-diagram",
"instruction-list",
"grafcet",
"sfc",
"industrial-automation",
"lora",
"qlora",
"axolotl",
"conversational",
"en",
"base_model:Qwen/Qwen3... | text-generation | 2025-08-31T05:04:10Z | # 🧠 PLC Agentic Assistant (IEC 61131-3)
> A compact assistant model specialized for industrial **PLC programming**.
> Fine-tuned with **Axolotl** using **QLoRA** to follow instructions and generate logic across the five IEC 61131-3 languages: **Structured Text (ST), Ladder Diagram ASCII (LD), Function Block Diagram... | [] |
open-thoughts/OpenThinker3-7B | open-thoughts | 2025-06-09T16:13:39Z | 3,070 | 135 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"dataset:open-thoughts/OpenThoughts3-1.2M",
"arxiv:2506.04178",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Instruct",
"license:apac... | text-generation | 2025-05-27T23:37:44Z | <p align="center">
<img src="https://huggingface.co/datasets/open-thoughts/open-thoughts-114k/resolve/main/open_thoughts.png" width="50%">
</p>
<p align="center">
<a href="https://arxiv.org/abs/2506.04178" style="margin-right: 24px;">paper</a> |
<a href="https://huggingface.co/datasets/open-thoughts/OpenThoughts3-... | [] |
mradermacher/llama-joycaption-beta-one-hf-llava-GGUF | mradermacher | 2025-07-31T04:50:54Z | 4,888 | 34 | transformers | [
"transformers",
"gguf",
"captioning",
"en",
"base_model:fancyfeast/llama-joycaption-beta-one-hf-llava",
"base_model:quantized:fancyfeast/llama-joycaption-beta-one-hf-llava",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-05-14T20:10:44Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/fancyfeast/llama-joycaption-beta-one-hf-llava
<!-- provided-files -->
***For a convenient overview and download list, v... | [] |
Hyper-AI/Qwen3-VL-Embedding-8B-fp8 | Hyper-AI | 2026-04-08T09:30:43Z | 100 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"multimodal embedding",
"qwen",
"embedding",
"fp8",
"feature-extraction",
"arxiv:2601.04720",
"base_model:Qwen/Qwen3-VL-8B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-8B-Instruct",
"license:apache-2.0",
"endpoints_compatib... | feature-extraction | 2026-04-03T08:11:35Z | # Qwen3-VL-Embedding-8B-fp8（（最新大模型推理加速技术见微信公众号: HyperAI）
**16G -> 8.8G memory decrease**
**speedup 30%**
**0.99 cossine similarity for images**
**vllm serve can run**
<p align="center">
<img src="https://model-demo.oss-cn-hangzhou.aliyuncs.com/Qwen3-VL-Embedding.png" width="400"/>
<p>
## Highlig... | [] |
WithinUsAI/Qwen3-QrazyQoder-0.6B-GGUF | WithinUsAI | 2026-03-21T21:51:31Z | 137 | 3 | llama.cpp | [
"llama.cpp",
"gguf",
"imatrix",
"qwen3",
"code",
"coder",
"text-generation",
"local-inference",
"withinusai",
"en",
"license:other",
"region:us"
] | text-generation | 2026-03-03T20:27:33Z | # Qwen3-0.6B-Qrazy-Qoder-i1-GGUF
**Qwen3-0.6B-Qrazy-Qoder-i1-GGUF** is a compact GGUF release from **WithIn Us AI**, designed for local inference and lightweight coding-oriented text generation.
This repository packages a **0.6B-parameter Qwen3-family model** in GGUF format for efficient use with **llama.cpp** and co... | [] |
mradermacher/PersianSciQA-Qwen2.5-14B-i1-GGUF | mradermacher | 2026-03-21T17:58:54Z | 1,289 | 1 | transformers | [
"transformers",
"gguf",
"qwen2",
"lora",
"qlora",
"sft",
"trl",
"persian",
"farsi",
"scientific-qa",
"extractive-qa",
"conversational",
"text-generation-inference",
"fa",
"dataset:safora/PersianSciQA-Extractive",
"base_model:safora/PersianSciQA-Qwen2.5-14B",
"base_model:adapter:safor... | null | 2025-08-30T08:04:38Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [
{
"start": 622,
"end": 654,
"text": "PersianSciQA-Qwen2.5-14B-i1-GGUF",
"label": "benchmark name",
"score": 0.646099328994751
}
] |
md-nishat-008/TigerLLM-1B-it | md-nishat-008 | 2025-09-14T17:55:13Z | 399 | 3 | null | [
"safetensors",
"gemma3_text",
"arxiv:2503.10995",
"license:cc-by-4.0",
"region:us"
] | null | 2025-09-09T07:33:05Z | <div align="center">
<h1 style="text-align: center; color: green;"> Accepted in ACL Main 2025 </h1>
</div>
<div align="center">
<table>
<tr>
<td>
<a href="https://arxiv.org/pdf/2503.10995">
<img src="https://img.shields.io/badge/arXiv-Read_Paper-blue?style=for-the-badge&logo=arxiv" alt="Read Paper"/>
</a>
</td>
<td>... | [] |
lmstudio-community/gemma-3-270m-it-GGUF | lmstudio-community | 2025-08-14T14:53:42Z | 460 | 5 | null | [
"gguf",
"base_model:google/gemma-3-270m-it",
"base_model:quantized:google/gemma-3-270m-it",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-14T14:51:23Z | ## 💫 Community Model> gemma-3-270m-it by google
*👾 [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**: [google](https://huggingface.co/google)<br>
**Origina... | [] |
Rakuten/RakutenAI-7B-chat | Rakuten | 2025-02-10T07:25:48Z | 309 | 66 | transformers | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"conversational",
"en",
"ja",
"arxiv:2403.15484",
"base_model:Rakuten/RakutenAI-7B",
"base_model:finetune:Rakuten/RakutenAI-7B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azur... | text-generation | 2024-03-18T06:46:06Z | # RakutenAI-7B-chat
## Model Description
RakutenAI-7B is a systematic initiative that brings the latest technologies to the world of Japanese LLMs. RakutenAI-7B achieves the best scores on the Japanese language understanding benchmarks while maintaining a competitive performance on the English test sets among similar m... | [
{
"start": 2,
"end": 19,
"text": "RakutenAI-7B-chat",
"label": "benchmark name",
"score": 0.6505518555641174
},
{
"start": 41,
"end": 53,
"text": "RakutenAI-7B",
"label": "benchmark name",
"score": 0.7456526756286621
},
{
"start": 148,
"end": 160,
"text": ... |
sakamakismile/Huihui-Qwen3.6-27B-abliterated-NVFP4-TEXT-MTP | sakamakismile | 2026-04-29T00:23:11Z | 641 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"qwen3.6",
"nvfp4",
"quantized",
"modelopt",
"mtp",
"speculative-decoding",
"blackwell",
"abliterated",
"text-only",
"text-generation",
"conversational",
"en",
"zh",
"ja",
"ko",
"fr",
"de",
"es",
"it",
"pt"... | text-generation | 2026-04-26T08:44:45Z | # Huihui-Qwen3.6-27B-abliterated-NVFP4-TEXT-MTP
**Text-only** NVFP4-quantized abliterated sibling of [`Qwen/Qwen3.6-27B`](https://huggingface.co/Qwen/Qwen3.6-27B), with the **MTP (Multi-Token Prediction) head preserved in bf16** so speculative decoding works.
Vision tower is **removed** (333 tensors / ~0.92 GB stripp... | [] |
OpenMOSS-Team/MOVA-720p | OpenMOSS-Team | 2026-02-11T15:17:49Z | 630 | 126 | diffusers | [
"diffusers",
"safetensors",
"image-to-video",
"image-text-to-video",
"image-to-audio-video",
"image-text-to-audio-video",
"MOVA",
"OpenMOSS",
"SII",
"MOSI",
"sglang-diffusion",
"any-to-any",
"arxiv:2602.08794",
"license:apache-2.0",
"diffusers:MOVA",
"region:us"
] | any-to-any | 2026-01-28T19:18:25Z | ## MOVA: Towards Scalable and Synchronized Video–Audio Generation
We introduce **MOVA** (**MO**SS **V**ideo and **A**udio), a foundation model designed to break the "silent era" of open-source video generation. Unlike cascaded pipelines that generate sound as an afterthought, MOVA synthesizes video and audio simultaneo... | [] |
calcuis/ace-gguf | calcuis | 2025-07-14T09:17:22Z | 1,145 | 30 | null | [
"gguf",
"gguf-node",
"text-to-audio",
"base_model:ACE-Step/ACE-Step-v1-3.5B",
"base_model:quantized:ACE-Step/ACE-Step-v1-3.5B",
"license:apache-2.0",
"region:us"
] | text-to-audio | 2025-05-09T06:22:05Z | ## gguf quantized ace-step-v1-3.5b
- base model from [ace-step](https://huggingface.co/ACE-Step)
- full set gguf (model+encoder+vae) works right away
### **setup (once)**
- drag **ace-step** to > `./ComfyUI/models/diffusion_models`
- drag **umt5-base** to > `./ComfyUI/models/text_encoders`
- drag **pig** to > `./Comfy... | [] |
OpenVINO/Qwen3-8B-int4-ov | OpenVINO | 2026-02-24T17:27:55Z | 786 | 5 | null | [
"openvino",
"qwen3",
"base_model:Qwen/Qwen3-8B",
"base_model:quantized:Qwen/Qwen3-8B",
"license:apache-2.0",
"region:us"
] | null | 2025-04-30T13:51:58Z | # Qwen3-8B-int4-ov
* Model creator: [Qwen](https://huggingface.co/Qwen)
* Original model: [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B)
## Description
This is [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/format) (Intermediate Representation) forma... | [] |
mradermacher/gemma-3-1b-it-heretic-abliterated-uncensored-GGUF | mradermacher | 2025-11-21T00:19:49Z | 209 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"en",
"base_model:DavidAU/gemma-3-1b-it-heretic-abliterated-uncensored",
"base_model:quantized:DavidAU/gemma-3-1b-it-heretic-abliterated-uncensored",
"endpoints_compatible",
"region:us",
"conversational... | null | 2025-11-20T22:56:30Z | ## 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... | [] |
CodeGoat24/FLUX.2-klein-base-9B-UnifiedReward-Flex-lora | CodeGoat24 | 2026-02-08T04:29:44Z | 279 | 19 | diffusers | [
"diffusers",
"text-to-image",
"arxiv:2602.02380",
"base_model:black-forest-labs/FLUX.2-klein-base-9B",
"base_model:finetune:black-forest-labs/FLUX.2-klein-base-9B",
"license:mit",
"region:us"
] | text-to-image | 2026-02-06T10:15:48Z | # Model Summary
This model is GRPO trained using [UnifiedReward-Flex](https://huggingface.co/collections/CodeGoat24/unifiedreward-flex) as reward on the training dataset of [UniGenBench](https://github.com/CodeGoat24/UniGenBench).
🚀 The inference code is available at [Github](https://github.com/CodeGoat24/Pref-GRPO/b... | [
{
"start": 50,
"end": 68,
"text": "UnifiedReward-Flex",
"label": "benchmark name",
"score": 0.8202469944953918
},
{
"start": 116,
"end": 134,
"text": "unifiedreward-flex",
"label": "benchmark name",
"score": 0.6293268799781799
},
{
"start": 174,
"end": 185,
... |
0xSero/GLM-5.1-555B-A14B-REAP-GGUF | 0xSero | 2026-04-21T12:06:34Z | 273 | 2 | llama-cpp | [
"llama-cpp",
"gguf",
"reap",
"pruning",
"moe",
"expert-pruning",
"glm",
"q4_k_m",
"text-generation",
"arxiv:2510.13999",
"base_model:zai-org/GLM-5.1",
"base_model:quantized:zai-org/GLM-5.1",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-04-15T07:32:36Z | # GLM-5.1 — 25% Expert Pruned (REAP) — Q4_K_M GGUF
This is a **Q4_K_M quantized GGUF** of the 25% expert-pruned [`zai-org/GLM-5.1`](https://huggingface.co/zai-org/GLM-5.1) using [REAP](https://github.com/CerebrasResearch/reap) (Relative Expert Activation Pruning).
| Property | Value |
|----------|-------|
| Base mode... | [
{
"start": 2,
"end": 9,
"text": "GLM-5.1",
"label": "benchmark name",
"score": 0.9065228700637817
},
{
"start": 123,
"end": 130,
"text": "GLM-5.1",
"label": "benchmark name",
"score": 0.7977390289306641
},
{
"start": 164,
"end": 171,
"text": "GLM-5.1",
... |
mradermacher/Qwen2.5-7B-CyberRombos-Wizard-GGUF | mradermacher | 2026-03-18T15:14:18Z | 397 | 1 | transformers | [
"transformers",
"gguf",
"wizard",
"merge",
"qwen2",
"ties",
"en",
"base_model:chenjingshen/Qwen2.5-7B-CyberRombos-Wizard",
"base_model:quantized:chenjingshen/Qwen2.5-7B-CyberRombos-Wizard",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-18T14:46:31Z | ## 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": 531,
"end": 565,
"text": "Qwen2.5-7B-CyberRombos-Wizard-GGUF",
"label": "benchmark name",
"score": 0.6577926278114319
}
] |
mradermacher/SynthAgent-SFT-UI-TARS-1.5-7B-i1-GGUF | mradermacher | 2026-02-15T17:25:24Z | 194 | 2 | transformers | [
"transformers",
"gguf",
"web-agent",
"synthetic-data",
"webarena",
"agent",
"synthesis",
"en",
"base_model:ChilleD/SynthAgent-SFT-UI-TARS-1.5-7B",
"base_model:quantized:ChilleD/SynthAgent-SFT-UI-TARS-1.5-7B",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"... | null | 2026-02-06T14:44:52Z | ## 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": 629,
"end": 666,
"text": "SynthAgent-SFT-UI-TARS-1.5-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.7001134753227234
},
{
"start": 740,
"end": 774,
"text": "SynthAgent-SFT-UI-TARS-1.5-7B-GGUF",
"label": "benchmark name",
"score": 0.6428099274635315
},
{... |
mradermacher/Precog-24B-v1-i1-GGUF | mradermacher | 2025-12-06T20:14:01Z | 347 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:TheDrummer/Precog-24B-v1",
"base_model:quantized:TheDrummer/Precog-24B-v1",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-12T15:40:08Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 616,
"end": 637,
"text": "Precog-24B-v1-i1-GGUF",
"label": "benchmark name",
"score": 0.6237646341323853
}
] |
mradermacher/Llama-3.2-OctoThinker-iNano-1B-GGUF | mradermacher | 2026-04-18T16:29:52Z | 653 | 1 | transformers | [
"transformers",
"gguf",
"llama",
"llama-3.2",
"merge",
"slerp",
"reasoning",
"instruct",
"chat",
"coding",
"1b",
"gss1147",
"en",
"base_model:WithinUsAI/Llama3.2-OctoThinker-iNano-1B",
"base_model:quantized:WithinUsAI/Llama3.2-OctoThinker-iNano-1B",
"license:other",
"endpoints_compat... | null | 2026-03-25T09:40:21Z | ## 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": 529,
"end": 564,
"text": "Llama-3.2-OctoThinker-iNano-1B-GGUF",
"label": "benchmark name",
"score": 0.8059330582618713
},
{
"start": 1260,
"end": 1295,
"text": "Llama-3.2-OctoThinker-iNano-1B-GGUF",
"label": "benchmark name",
"score": 0.6379774212837219
}
] |
DigitalLearningGmbH/educa-ai-voice-preview | DigitalLearningGmbH | 2025-12-19T13:35:01Z | 272 | 1 | null | [
"safetensors",
"llama",
"text-to-speech",
"de",
"en",
"dataset:HuggingFaceFW/fineweb",
"dataset:HuggingFaceFW/fineweb-2",
"dataset:amphion/Emilia-Dataset",
"dataset:facebook/voxpopuli",
"dataset:uhhlt/Tuda-De",
"dataset:openslr/librispeech_asr",
"dataset:facebook/multilingual_librispeech",
"... | text-to-speech | 2025-12-18T13:01:19Z | <img src="https://educaai.de/webapp/splash/img/dark-1x.png" style="float:left">
## educa AI voice (preview)
---
educa AI voice is our in-house text to speech model developed on top of [EuroLLM-1.7B](https://huggingface.co/utter-project/EuroLLM-1.7B).
This version of the model is trained on a single speaker and is c... | [
{
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"end": 200,
"text": "EuroLLM-1.7B",
"label": "benchmark name",
"score": 0.7280173897743225
},
{
"start": 239,
"end": 251,
"text": "EuroLLM-1.7B",
"label": "benchmark name",
"score": 0.6536690592765808
},
{
"start": 1019,
"end": 1031,
"text"... |
mradermacher/Kimi-Linear-48B-A3B-Base-GGUF | mradermacher | 2026-02-15T11:52:51Z | 104 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:moonshotai/Kimi-Linear-48B-A3B-Base",
"base_model:quantized:moonshotai/Kimi-Linear-48B-A3B-Base",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-14T20:17:40Z | ## 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... | [
{
"start": 524,
"end": 553,
"text": "Kimi-Linear-48B-A3B-Base-GGUF",
"label": "benchmark name",
"score": 0.6113728880882263
}
] |
bartowski/PocketDoc_Dans-PersonalityEngine-V1.3.0-12b-GGUF | bartowski | 2025-05-24T22:24:50Z | 1,781 | 10 | null | [
"gguf",
"general-purpose",
"roleplay",
"storywriting",
"chemistry",
"biology",
"code",
"climate",
"axolotl",
"text-generation-inference",
"finetune",
"legal",
"medical",
"finance",
"text-generation",
"en",
"ar",
"de",
"fr",
"es",
"hi",
"pt",
"ja",
"ko",
"dataset:Pocke... | text-generation | 2025-05-24T21:48:03Z | ## Llamacpp imatrix Quantizations of Dans-PersonalityEngine-V1.3.0-12b by PocketDoc
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b5466">b5466</a> for quantization.
Original model: https://huggingface.co/PocketDoc/Dans-Person... | [] |
mradermacher/Qwen3.5-27B-Gemini-3.1-Pro-Reasoning-Distill-i1-GGUF | mradermacher | 2026-03-12T18:11:36Z | 5,582 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"qwen",
"qwen3.5",
"reasoning",
"chain-of-thought",
"distillation",
"Dense",
"en",
"zh",
"ko",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"dataset:Roman1111111/gemini-3.1-pro-hard-high-reasoning",
"base_model:Jackrong/Qwen3.5-27B-Gemini-3.1-Pro-Reasonin... | null | 2026-03-12T16:26:25Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
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"end": 697,
"text": "Qwen3.5-27B-Gemini-3.1-Pro-Reasoning-Distill-i1-GGUF",
"label": "benchmark name",
"score": 0.6390955448150635
},
{
"start": 771,
"end": 820,
"text": "Qwen3.5-27B-Gemini-3.1-Pro-Reasoning-Distill-GGUF",
"label": "benchmark name",
"score... |
groxaxo/Huihui-gemma-4-26B-A4B-it-abliterated-GGUF | groxaxo | 2026-04-22T04:29:49Z | 30,067 | 10 | llama.cpp | [
"llama.cpp",
"gguf",
"gemma4",
"mxfp4",
"quantized",
"multimodal",
"abliterated",
"uncensored",
"image-text-to-text",
"conversational",
"base_model:huihui-ai/Huihui-gemma-4-26B-A4B-it-abliterated",
"base_model:quantized:huihui-ai/Huihui-gemma-4-26B-A4B-it-abliterated",
"endpoints_compatible"... | image-text-to-text | 2026-04-11T09:47:56Z | <p align="center">
<img src="./banner1.png" alt="Huihui Gemma 4 26B A4B GGUF banner" width="100%">
</p>
# Huihui Gemma 4 26B A4B IT Abliterated — GGUF Quantizations
This repository contains **GGUF / llama.cpp quantized builds** of:
[huihui-ai/Huihui-gemma-4-26B-A4B-it-abliterated](https://huggingface.co/huihui-ai/... | [
{
"start": 109,
"end": 146,
"text": "Huihui Gemma 4 26B A4B IT Abliterated",
"label": "benchmark name",
"score": 0.6096280813217163
},
{
"start": 149,
"end": 153,
"text": "GGUF",
"label": "benchmark name",
"score": 0.6523532271385193
},
{
"start": 633,
"end": ... |
Lamapi/next-4b-Q4_K_M-GGUF | Lamapi | 2025-10-28T11:14:13Z | 1,035 | 2 | transformers | [
"transformers",
"gguf",
"turkish",
"türkiye",
"english",
"ai",
"lamapi",
"gemma3",
"next",
"next-x1",
"efficient",
"text-generation",
"open-source",
"4b",
"huggingface",
"large-language-model",
"llm",
"causal",
"transformer",
"artificial-intelligence",
"machine-learning",
"... | image-text-to-text | 2025-10-28T11:14:01Z | # Lamapi/next-4b-Q4_K_M-GGUF
This model was converted to GGUF format from [`Lamapi/next-4b`](https://huggingface.co/Lamapi/next-4b) 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/Lamapi/next-4b) for m... | [] |
unsloth/Ministral-3-3B-Instruct-2512-GGUF | unsloth | 2025-12-04T15:21:40Z | 12,960 | 17 | vllm | [
"vllm",
"gguf",
"mistral-common",
"mistral",
"unsloth",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"base_model:mistralai/Ministral-3-3B-Instruct-2512",
"base_model:quantized:mistralai/Ministral-3-3B-Instruct-2512",
"license:apache-2.0",
"region:us",
"co... | null | 2025-12-02T14:37:57Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See our <a href="https://huggingface.co/collections/unsloth/ministral-3">Ministral 3 collection</a> for all versions including GGUF, 4-bit & FP8 formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to run Ministral correctly - <a href="h... | [
{
"start": 125,
"end": 136,
"text": "ministral-3",
"label": "benchmark name",
"score": 0.814977765083313
},
{
"start": 138,
"end": 149,
"text": "Ministral 3",
"label": "benchmark name",
"score": 0.7076323628425598
},
{
"start": 192,
"end": 196,
"text": "GG... |
llmfan46/Qwen3.5-35B-A3B-uncensored-heretic-GGUF | llmfan46 | 2026-04-10T00:29:07Z | 4,953 | 25 | null | [
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"qwen3_5_moe",
"image-text-to-text",
"base_model:llmfan46/Qwen3.5-35B-A3B-uncensored-heretic",
"base_model:quantized:llmfan46/Qwen3.5-35B-A3B-uncensored-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"convers... | image-text-to-text | 2026-02-27T11:36:24Z | <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... | [] |
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