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 |
|---|---|---|---|---|---|---|---|---|---|---|
DavidAU/gemma-4-E4B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking | DavidAU | 2026-04-14T05:57:35Z | 420 | 8 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"heretic",
"uncensored",
"aliterated",
"finetune",
"unsloth",
"all use cases",
"coder",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
... | any-to-any | 2026-04-07T10:25:24Z | <small>NOTE: Updated Jinja templates, Apr 14 2026 to improve performance.</small>
<h2>gemma-4-E4B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking</h2>
16 bit precision fine tune of Gemma 4 "E4B" (an 8B parameter model - see below) Heretic/Uncensored using "The Deckard" in house datasets [5] via Unsloth using light tuning ... | [
{
"start": 187,
"end": 190,
"text": "E4B",
"label": "benchmark name",
"score": 0.7701333165168762
},
{
"start": 254,
"end": 265,
"text": "The Deckard",
"label": "benchmark name",
"score": 0.7416479587554932
},
{
"start": 615,
"end": 618,
"text": "E4B",
... |
trillionlabs/Tri-21B-Think | trillionlabs | 2026-02-19T12:55:43Z | 8,772 | 28 | transformers | [
"transformers",
"safetensors",
"trillion",
"text-generation",
"finetuned",
"chat",
"reasoning",
"conversational",
"custom_code",
"en",
"ko",
"ja",
"base_model:trillionlabs/Tri-21B",
"base_model:finetune:trillionlabs/Tri-21B",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-18T09:16:18Z | <p align="center">
<picture>
<img src="https://raw.githubusercontent.com/trillion-labs/.github/main/Tri-21B-Think.png" alt="Tri-21B-Think" style="width: 80%;">
</picture>
</p>
## Introduction
**Tri-21B-Think** is a reasoning-enhanced version of [Tri-21B](https://huggingface.co/trillionlabs/Tri-21B), built through m... | [] |
gagansuie/oxidize-models | gagansuie | 2026-05-04T15:48:10Z | 193 | 3 | candle | [
"candle",
"networking",
"sase",
"agentic",
"autonomous-agents",
"congestion-control",
"loss-prediction",
"rust",
"reinforcement-learning",
"transformer",
"ppo",
"int8-quantization",
"ucb1-bandit",
"other",
"license:mit",
"region:us"
] | other | 2026-01-08T07:13:53Z | # 🦀 Oxidize ML Models
Machine learning models for [Oxidize](https://github.com/gagansuie/oxidize) — an **end-to-end agentic enterprise defense operations platform with one control plane running a closed detect -> correlate -> enforce -> prove security loop and a high-performance relay runtime** built in pure Rust.
>... | [] |
bezzam/xcodec2 | bezzam | 2026-04-30T10:56:20Z | 379 | 1 | transformers | [
"transformers",
"safetensors",
"xcodec2",
"audio",
"codec",
"feature-extraction",
"arxiv:2502.04128",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2025-08-26T15:18:56Z | # 🚨 DRAFT: X-Codec2 (Transformers-compatible version)
The X-Codec2 model was proposed in [Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis](https://huggingface.co/papers/2502.04128).
X-Codec2 is a neural audio codec designed to improve speech synthesis and general audio generati... | [] |
caiovicentino1/Wan2.2-Animate-14B-HLWQ-Q5 | caiovicentino1 | 2026-04-13T18:52:40Z | 989 | 3 | null | [
"onnx",
"safetensors",
"hlwq",
"video-to-video",
"arxiv:2502.02617",
"arxiv:2603.29078",
"arxiv:2503.20314",
"base_model:Wan-AI/Wan2.2-I2V-A14B",
"base_model:quantized:Wan-AI/Wan2.2-I2V-A14B",
"license:apache-2.0",
"8-bit",
"polarengine",
"region:us"
] | video-to-video | 2026-04-04T00:39:56Z | > [!IMPORTANT]
> **Naming notice (2026-04-10).** The "HLWQ" technique used in this model is being rebranded to **HLWQ (Hadamard-Lloyd Weight Quantization)**. The change is only the name; the algorithm and the weights in this repository are unchanged.
>
> The rebrand resolves a name collision with an unrelated, earlier ... | [] |
castorini/rank_zephyr_7b_v1_full | castorini | 2024-01-19T19:54:29Z | 1,212 | 29 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"conversational",
"en",
"arxiv:2312.02724",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:finetune:mistralai/Mistral-7B-v0.1",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"r... | text-generation | 2024-01-19T18:52:58Z | <!-- 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. -->
<img src="https://huggingface.co/castorini/rank_zephyr_7b_v1_full/resolve/main/thumbnail.jpeg" alt="RankZephyr Logo" width="500" sty... | [] |
unsloth/DeepSeek-R1-Distill-Qwen-32B-GGUF | unsloth | 2025-01-25T09:06:07Z | 33,618 | 146 | transformers | [
"transformers",
"gguf",
"deepseek",
"qwen",
"qwen2",
"unsloth",
"en",
"arxiv:2501.12948",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
"base_model:quantized:deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-01-20T15:43:10Z | ## ***See [our collection](https://huggingface.co/collections/unsloth/deepseek-r1-all-versions-678e1c48f5d2fce87892ace5) for versions of Deepseek-R1 including GGUF and original formats.***
### Instructions to run this model in llama.cpp:
Or you can view more detailed instructions here: [unsloth.ai/blog/deepseek-r1](htt... | [] |
Ooredoo-Group/ooredoo-stamp-detection | Ooredoo-Group | 2025-10-22T11:33:46Z | 399 | 1 | null | [
"safetensors",
"yolos",
"object-detection",
"stamp-detection",
"computer-vision",
"en",
"license:apache-2.0",
"model-index",
"region:us"
] | object-detection | 2025-10-22T10:49:04Z | # Ooredoo Stamp Detection Model
A fine-tuned YOLOS model for detecting stamps in documents.
## Model Description
This model is based on `hustvl/yolos-small` and fine-tuned for single-class stamp detection in documents. It can identify and localize stamps with high accuracy.
- **Base Model**: hustvl/yolos-small
- **... | [
{
"start": 425,
"end": 442,
"text": "confidence scores",
"label": "evaluation metric",
"score": 0.6414560675621033
}
] |
nvidia/Frame_VAD_Multilingual_MarbleNet_v2.0 | nvidia | 2025-05-14T14:35:11Z | 5,854 | 38 | nemo | [
"nemo",
"Multilingual",
"MarbleNet",
"pytorch",
"speech",
"audio",
"VAD",
"onnx",
"onnxruntime",
"voice-activity-detection",
"en",
"es",
"fr",
"de",
"ru",
"zh",
"arxiv:2010.13886",
"license:other",
"region:us"
] | voice-activity-detection | 2025-05-08T16:43:38Z | # Frame-VAD Multilingual MarbleNet v2.0
## Description:
Frame-VAD Multilingual MarbleNet v2.0 is a convolutional neural network for voice activity detection (VAD) that serves as the first step for Speech Recognition and Speaker Diarization. It is a frame-based model that outputs a speech probability for each 20 mill... | [
{
"start": 285,
"end": 303,
"text": "speech probability",
"label": "evaluation metric",
"score": 0.638114869594574
}
] |
bartowski/Qwen2.5-Coder-1.5B-Instruct-GGUF | bartowski | 2024-09-19T15:10:38Z | 5,268 | 11 | transformers | [
"transformers",
"gguf",
"code",
"codeqwen",
"chat",
"qwen",
"qwen-coder",
"text-generation",
"en",
"base_model:Qwen/Qwen2.5-Coder-1.5B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-1.5B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-09-18T18:46:27Z | ## Llamacpp imatrix Quantizations of Qwen2.5-Coder-1.5B-Instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3772">b3772</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct
All qu... | [] |
mradermacher/GLM-4.7-Flash-49B-i1-GGUF | mradermacher | 2026-01-29T05:46:44Z | 226 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:win10/GLM-4.7-Flash-49B",
"base_model:quantized:win10/GLM-4.7-Flash-49B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-28T12:45:27Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 615,
"end": 640,
"text": "GLM-4.7-Flash-49B-i1-GGUF",
"label": "benchmark name",
"score": 0.6693273186683655
}
] |
saricles/MiniMax-M2.5-REAP-172B-A10B-NVFP4-GB10 | saricles | 2026-03-01T08:37:40Z | 936 | 10 | transformers | [
"transformers",
"safetensors",
"minimax_m2",
"text-generation",
"minimax",
"nvfp4",
"4-bit",
"quantized",
"compressed-tensors",
"vllm",
"DGX-Spark",
"GB10",
"MoE",
"REAP",
"conversational",
"custom_code",
"en",
"zh",
"arxiv:2510.13999",
"base_model:cerebras/MiniMax-M2.5-REAP-17... | text-generation | 2026-03-01T01:12:00Z | # MiniMax-M2.5-REAP-172B-A10B-NVFP4-GB10
NVFP4 quantization of [cerebras/MiniMax-M2.5-REAP-172B-A10B](https://huggingface.co/cerebras/MiniMax-M2.5-REAP-172B-A10B) for NVIDIA DGX Spark (GB10).
The base model is a [Cerebras REAP](https://www.cerebras.ai/blog/reap) (Router-weighted Expert Activation Pruning) variant of ... | [
{
"start": 215,
"end": 228,
"text": "Cerebras REAP",
"label": "benchmark name",
"score": 0.739632785320282
},
{
"start": 1214,
"end": 1227,
"text": "Cerebras REAP",
"label": "benchmark name",
"score": 0.7793954014778137
},
{
"start": 1369,
"end": 1381,
"te... |
AnasAlokla/multilingual_go_emotions_V1.2 | AnasAlokla | 2025-08-08T13:46:17Z | 558 | 3 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"emotion",
"classification",
"emojis",
"emotions",
"v1.0",
"sentiment-analysis",
"nlp",
"chatbot",
"social-media",
"mental-health",
"short-text",
"emotion-detection",
"expressive",
"ai",
"machine-learning",
"inferenc... | text-classification | 2025-07-28T08:54:42Z | # 🌍 Multilingual GoEmotions Classifier 💬
[](https://huggingface.co/AnasAlokla/multilingual_go_emotions#key-features)
[![Task](https://img.shields.io/badge/Task-Multi--Label%20Classification%20%7C%20Emotion%20Detection%20%7C%20Text%20Classification%20%... | [] |
mradermacher/PixelCraft-3B-GGUF | mradermacher | 2026-01-07T08:00:51Z | 291 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:zss01/PixelCraft-3B",
"base_model:quantized:zss01/PixelCraft-3B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-07T06:28:02Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 508,
"end": 526,
"text": "PixelCraft-3B-GGUF",
"label": "benchmark name",
"score": 0.6718286275863647
}
] |
mradermacher/Qwen3.5-4B-Claude-Opus-Reasoning-Distill-i1-GGUF | mradermacher | 2026-04-18T17:36:39Z | 3,186 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3_5",
"reasoning",
"distillation",
"claude-opus",
"tool-use",
"en",
"dataset:TeichAI/Claude-Opus-4.6-Reasoning-887x",
"dataset:TeichAI/Claude-Sonnet-4.6-Reasoning-1100x",
"dataset:TeichAI/claude-4.5-opus-high-reasoning-250x... | null | 2026-04-03T13:52:58Z | ## 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_... | [] |
tomaarsen/Qwen3-Reranker-8B-seq-cls | tomaarsen | 2025-06-16T09:30:38Z | 3,450 | 9 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3",
"text-classification",
"transformers",
"text-ranking",
"arxiv:2506.05176",
"base_model:Qwen/Qwen3-8B-Base",
"base_model:finetune:Qwen/Qwen3-8B-Base",
"license:apache-2.0",
"region:us"
] | text-ranking | 2025-06-16T09:29:13Z | # Qwen3-Reranker-8B
<p align="center">
<img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/logo_qwen3.png" width="400"/>
<p>
> [!NOTE]
> This is a copy of the [Qwen3-Reranker-8B](https://huggingface.co/Qwen/Qwen3-Reranker-8B) model, part of the [Qwen3 Reranker series](https://huggingface.co/collect... | [] |
vrgamedevgirl84/LTX_2.3_90s_Animation_Style_LoRa | vrgamedevgirl84 | 2026-04-24T02:24:22Z | 120 | 2 | diffusers | [
"diffusers",
"lora",
"ltx-video",
"text-to-video",
"safetensors",
"base_model:Lightricks/LTX-Video",
"base_model:adapter:Lightricks/LTX-Video",
"region:us"
] | text-to-video | 2026-04-22T23:10:12Z | # Manic Hand-Drawn Gross-Out Cartoon Animation LoRA
This text-to-video LoRA creates a manic, hand-drawn gross-out cartoon animation look.
The dataset used to train this LoRA did **not** use any IP. It is a grotesque, exaggerated cartoon style inspired by **1990s gross-out animation aesthetics**, not actual stills, fr... | [] |
mradermacher/AutoGLM-Phone-9B-GGUF | mradermacher | 2025-12-10T19:35:24Z | 1,381 | 4 | transformers | [
"transformers",
"gguf",
"agent",
"zh",
"base_model:zai-org/AutoGLM-Phone-9B",
"base_model:quantized:zai-org/AutoGLM-Phone-9B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-10T08:40:42Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
prithivMLmods/Qwen3.5-9B-abliterated-v2-MAX-NVFP4 | prithivMLmods | 2026-03-31T05:29:17Z | 148 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"text-generation-inference",
"NVFP4A16",
"NVFP4",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"refusal-ablated",
"vllm",
"pytorch",
"bf16",
"max",
"alignment-modified",
"reasoning",
"llm-compressor",
"... | image-text-to-text | 2026-03-29T13:31:48Z | 
# **Qwen3.5-9B-abliterated-v2-MAX-NVFP4**
> **Qwen3.5-9B-abliterated-v2-MAX-NVFP4** is an **NVFP4-compressed version** built on top of **prithivMLmods/Qwen3.5-9B-abliterated-v2-MAX**. This variant leverages ... | [] |
microsoft/Phi-4-mini-instruct-onnx | microsoft | 2026-02-11T00:09:48Z | 628 | 46 | null | [
"onnx",
"ONNX",
"ONNX Runtime",
"code",
"nlp",
"phi4",
"phi4 mini",
"multilingual",
"ar",
"zh",
"cs",
"da",
"nl",
"en",
"fi",
"fr",
"de",
"he",
"hu",
"it",
"ja",
"ko",
"no",
"pl",
"pt",
"ru",
"es",
"sv",
"th",
"tr",
"uk",
"license:mit",
"region:us"
] | null | 2025-02-25T05:57:02Z | # Phi-4-Mini-Instruct ONNX models
## Introduction
This repository hosts the optimized versions of the Phi-4 mini models to accelerate inference with ONNX Runtime.
Optimized models are published here in ONNX format to run with ONNX Runtime on CPU and GPU across devices, including server platforms, Windows, Linux and M... | [] |
Shreyansh327/Qwen3-1.7B-grpo-gsm8k | Shreyansh327 | 2026-03-18T04:58:57Z | 127 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"qwen",
"reinforcement-learning",
"grpo",
"reasoning",
"alignment-tax",
"trl",
"dataset:openai/gsm8k",
"base_model:Qwen/Qwen3-1.7B",
"base_model:finetune:Qwen/Qwen3-1.7B",
"license:apache-2.0",
"text-generation-inference",
"end... | reinforcement-learning | 2026-03-02T17:29:44Z | # Qwen3-1.7B-GRPO-Efficient-Reasoning
## Model Overview
**Qwen3-1.7B-GRPO-Efficient-Reasoning** is a fine-tuned version of the base [Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) model, optimized specifically for highly efficient mathematical and logical reasoning.
This model was trained using **Group Relative... | [
{
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"end": 37,
"text": "Qwen3-1.7B-GRPO-Efficient-Reasoning",
"label": "benchmark name",
"score": 0.6139565110206604
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{
"start": 59,
"end": 94,
"text": "Qwen3-1.7B-GRPO-Efficient-Reasoning",
"label": "benchmark name",
"score": 0.7439976930618286
},
{
"... |
Babelscape/mrebel-large | Babelscape | 2023-06-20T15:40:58Z | 726 | 78 | transformers | [
"transformers",
"pytorch",
"safetensors",
"mbart",
"text2text-generation",
"seq2seq",
"relation-extraction",
"translation",
"ar",
"ca",
"de",
"el",
"en",
"es",
"fr",
"hi",
"it",
"ja",
"ko",
"nl",
"pl",
"pt",
"ru",
"sv",
"vi",
"zh",
"dataset:Babelscape/SREDFM",
"... | translation | 2023-06-12T13:40:27Z | # RED<sup>FM</sup>: a Filtered and Multilingual Relation Extraction Dataset
This is a multilingual version of [REBEL](https://huggingface.co/Babelscape/rebel-large). It can be used as a standalone multulingual Relation Extraction system, or as a pretrained system to be tuned on multilingual Relation Extraction dataset... | [] |
allenai/Molmo-7B-D-0924 | allenai | 2025-12-15T19:39:34Z | 26,909 | 566 | transformers | [
"transformers",
"safetensors",
"molmo",
"text-generation",
"multimodal",
"olmo",
"pixmo",
"image-text-to-text",
"conversational",
"custom_code",
"en",
"arxiv:2409.17146",
"base_model:Qwen/Qwen2-7B",
"base_model:finetune:Qwen/Qwen2-7B",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2024-09-25T01:48:22Z | <img src="molmo_logo.png" alt="Logo for the Molmo Project" style="width: auto; height: 50px;">
# Molmo 7B-D
Molmo is a family of open vision-language models developed by the Allen Institute for AI. Molmo models are trained on PixMo, a dataset of 1 million, highly-curated image-text pairs. It has state-of-the-art perf... | [
{
"start": 897,
"end": 903,
"text": "GPT-4V",
"label": "benchmark name",
"score": 0.8572046160697937
},
{
"start": 908,
"end": 914,
"text": "GPT-4o",
"label": "benchmark name",
"score": 0.8660905957221985
}
] |
microsoft/VibeVoice-AcousticTokenizer | microsoft | 2026-02-06T03:33:47Z | 556 | 13 | transformers | [
"transformers",
"safetensors",
"vibevoice_acoustic_tokenizer",
"feature-extraction",
"audio tokenizer",
"arxiv:2508.19205",
"license:mit",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2026-02-06T03:33:31Z | # VibeVoice Acoustic Tokenizer
VibeVoice is a novel framework designed for generating expressive, long-form, multi-speaker conversational audio, such as podcasts, from text. It addresses significant challenges in traditional Text-to-Speech (TTS) systems, particularly in scalability, speaker consistency, and natural tu... | [] |
staghado/LightOnOCR-2-1B-Q4_K_M-GGUF | staghado | 2026-01-22T15:27:51Z | 105 | 1 | null | [
"gguf",
"ocr",
"vision-language",
"base_model:lightonai/LightOnOCR-2-1B",
"base_model:quantized:lightonai/LightOnOCR-2-1B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-22T14:23:34Z | # LightOnOCR-2-1B GGUF (Q4_K_M)
GGUF quantized version of [lightonai/LightOnOCR-2-1B](https://huggingface.co/lightonai/LightOnOCR-2-1B).
## Files
- **LightOnOCR-2-1B-Q4_K_M.gguf** (378 MB) - Language model (596M parameters, Q4_K_M quantization)
- **mmproj-LightOnOCR-2-1B-Q8_0.gguf** (429 MB) - Vision encoder (403M p... | [] |
mradermacher/KansenSakura-Erosion-RP-12B-heretic-i1-GGUF | mradermacher | 2026-03-12T07:49:25Z | 6,482 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Sorihon/KansenSakura-Erosion-RP-12B-heretic",
"base_model:quantized:Sorihon/KansenSakura-Erosion-RP-12B-heretic",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-12T06:12:06Z | ## 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_... | [] |
mradermacher/Psychosis-9B-v1-i1-GGUF | mradermacher | 2026-01-19T16:28:15Z | 261 | 1 | 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 | 2026-01-19T14:14:20Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 615,
"end": 638,
"text": "Psychosis-9B-v1-i1-GGUF",
"label": "benchmark name",
"score": 0.7137979865074158
},
{
"start": 712,
"end": 732,
"text": "Psychosis-9B-v1-GGUF",
"label": "benchmark name",
"score": 0.6271871328353882
},
{
"start": 1193,
"end... |
froggeric/Qwen3.5-35B-A3B-Uncensored-FernflowerAI-MLX-8bit | froggeric | 2026-05-01T09:30:45Z | 6,530 | 15 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"mlx-lm",
"mlx-vlm",
"qwen3.5",
"moe",
"deltanet",
"uncensored",
"conversational",
"vision",
"multimodal",
"image-text-to-text",
"en",
"zh",
"multilingual",
"base_model:HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive",
"base_model:quanti... | image-text-to-text | 2026-04-10T07:42:15Z | <p align="center">
<strong>Qwen3.5-35B-A3B-Uncensored-FernflowerAI</strong><br>
MLX 8-bit · Text + Vision + Thinking + Tool Calling<br>
<em>Apple Silicon native</em>
</p>
> **Credit where it's due.** This conversion is built on the work of **[LuffyTheFox (EvilEnginer)](https://huggingface.co/LuffyTheFox)*... | [] |
bartowski/Llama-3.2-1B-Instruct-GGUF | bartowski | 2024-10-08T14:00:29Z | 93,340 | 157 | null | [
"gguf",
"facebook",
"meta",
"llama",
"llama-3",
"text-generation",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"base_model:meta-llama/Llama-3.2-1B-Instruct",
"base_model:quantized:meta-llama/Llama-3.2-1B-Instruct",
"license:llama3.2",
"endpoints_compatible",
"region:us",
"c... | text-generation | 2024-09-25T18:35:25Z | ## Llamacpp imatrix Quantizations of Llama-3.2-1B-Instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3821">b3821</a> for quantization.
Original model: https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct
All quants m... | [] |
bartowski/DeepSeek-R1-Distill-Qwen-1.5B-GGUF | bartowski | 2025-01-22T15:19:36Z | 15,417 | 85 | null | [
"gguf",
"text-generation",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"base_model:quantized:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-01-20T14:52:20Z | ## Llamacpp imatrix Quantizations of DeepSeek-R1-Distill-Qwen-1.5B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4514">b4514</a> for quantization.
Original model: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1... | [] |
mradermacher/gemma-3n-E4B-it-absolute-heresy-MPOA-i1-GGUF | mradermacher | 2026-01-20T13:47:39Z | 324 | 1 | transformers | [
"transformers",
"gguf",
"automatic-speech-recognition",
"automatic-speech-translation",
"audio-text-to-text",
"video-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:MuXodious/gemma-3n-E4B-it-absolute-heresy-MPOA",
"base_model:quantized:MuXodious/gemma-3... | automatic-speech-recognition | 2026-01-20T06:10:09Z | ## 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_... | [] |
List-cloud/List-2.0-Ultra-Coder | List-cloud | 2026-04-22T06:29:22Z | 124,684 | 2 | null | [
"safetensors",
"list-ultra",
"code",
"list-coder",
"500B",
"ultra-reasoning",
"en",
"license:apache-2.0",
"region:us"
] | null | 2026-04-22T05:59:14Z | # 🌌 List-2.0-Ultra-Coder: The Apex of AI Coding
[](https://elixeia.com/)
[](https://elixeia.com/)
**List-2.0-Ultra-Coder** is the defini... | [
{
"start": 4,
"end": 24,
"text": "List-2.0-Ultra-Coder",
"label": "benchmark name",
"score": 0.9215850234031677
},
{
"start": 283,
"end": 303,
"text": "List-2.0-Ultra-Coder",
"label": "benchmark name",
"score": 0.9268380999565125
},
{
"start": 618,
"end": 638,... |
cl-nagoya/ruri-v3-310m | cl-nagoya | 2025-04-17T09:38:05Z | 442,683 | 68 | null | [
"safetensors",
"modernbert",
"sentence-similarity",
"feature-extraction",
"ja",
"dataset:cl-nagoya/ruri-v3-dataset-ft",
"arxiv:2409.07737",
"base_model:cl-nagoya/ruri-v3-pt-310m",
"base_model:finetune:cl-nagoya/ruri-v3-pt-310m",
"license:apache-2.0",
"region:us"
] | sentence-similarity | 2025-04-09T04:11:45Z | # Ruri: Japanese General Text Embeddings
**Ruri v3** is a general-purpose Japanese text embedding model built on top of [**ModernBERT-Ja**](https://huggingface.co/collections/sbintuitions/modernbert-ja-67b68fe891132877cf67aa0a).
Ruri v3 offers several key technical advantages:
- **State-of-the-art performance** for Ja... | [] |
mradermacher/Mistral-Nemo-Instruct-17B-Claude-High-Reasoning-EXTREME-GGUF | mradermacher | 2026-01-22T21:56:57Z | 375 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:DavidAU/Mistral-Nemo-Instruct-17B-Claude-High-Reasoning-EXTREME",
"base_model:quantized:DavidAU/Mistral-Nemo-Instruct-17B-Claude-High-Reasoning-EXTREME",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-22T15:27:28Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/Huihui-Qwen3.6-35B-A3B-abliterated-GGUF | mradermacher | 2026-04-21T16:20:23Z | 2,958 | 2 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-Qwen3.6-35B-A3B-abliterated",
"base_model:quantized:huihui-ai/Huihui-Qwen3.6-35B-A3B-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-19T07:34:43Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/KansenSakura-Radiance-RP-12b-GGUF | mradermacher | 2025-09-13T10:24:32Z | 663 | 4 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"frankenmerge",
"roleplay",
"conversational",
"nsfw",
"en",
"base_model:Retreatcost/KansenSakura-Radiance-RP-12b",
"base_model:quantized:Retreatcost/KansenSakura-Radiance-RP-12b",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-09-13T02:08:18Z | ## 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... | [] |
AaryanK/Kimi-Linear-48B-A3B-Instruct-GGUF | AaryanK | 2025-12-31T19:20:22Z | 132 | 10 | gguf | [
"gguf",
"text-generation-inference",
"linear-attention",
"rnn",
"chat",
"experimental",
"text-generation",
"conversational",
"en",
"zh",
"arxiv:2510.26692",
"base_model:moonshotai/Kimi-Linear-48B-A3B-Instruct",
"base_model:quantized:moonshotai/Kimi-Linear-48B-A3B-Instruct",
"license:mit",
... | text-generation | 2025-12-25T22:57:00Z | # Kimi-Linear-48B-Instruct-GGUF
<div align="center">
<img src="https://huggingface.co/moonshotai/Kimi-Linear-48B-A3B-Instruct/resolve/main/figures/logo.png" width="5%" style="vertical-align: middle;"/>
<b>Kimi Linear: An Expressive, Efficient Attention Architecture</b>
</div>
<div align="center">
<a href="https... | [] |
mradermacher/CURE-MED-14B-i1-GGUF | mradermacher | 2026-01-23T10:29:14Z | 124 | 1 | transformers | [
"transformers",
"gguf",
"reasoning",
"text-generation",
"medical-ai",
"multilingual-ai",
"healthcare",
"LLMs",
"am",
"bn",
"fr",
"ha",
"hi",
"ja",
"ko",
"es",
"sw",
"th",
"tr",
"vi",
"yo",
"dataset:Aikyam-Lab/CUREMED-BENCH",
"base_model:Aikyam-Lab/CURE-MED-14B",
"base_m... | text-generation | 2026-01-23T07:44:27Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
nightmedia/Qwen3.5-9B-OmniCoder-Claude-Polaris-qx86-hi-mlx | nightmedia | 2026-03-18T18:07:55Z | 1,173 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"unsloth",
"fine tune",
"heretic",
"abliterated",
"uncensored",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fictio... | image-text-to-text | 2026-03-15T00:51:14Z | # Qwen3.5-9B-OmniCoder-Claude-Polaris-qx86-hi-mlx
This is a progressive nuslerp merge of the following models:
- DavidAU/Qwen3.5-9B-Claude-Opus-Sonnet-Pro-Auto-Variable-HERETIC-UNCENS... | [] |
REPA-E/e2e-flux-vae | REPA-E | 2025-10-22T13:17:12Z | 187 | 16 | diffusers | [
"diffusers",
"safetensors",
"image-to-image",
"arxiv:2504.10483",
"license:mit",
"region:us"
] | image-to-image | 2025-10-15T06:10:30Z | <h1 align="center">
🚀 REPA-E <em>for</em> T2I
</h1>
<p align="center">
<em>End-to-End Tuned VAEs for Supercharging Text-to-Image Diffusion Transformers</em>
</p>
<p align="center">
<a href="https://End2End-Diffusion.github.io/repa-e-t2i">🌐 Project Page</a>  
<a href="https://huggingface.co/REPA-E/model... | [] |
mradermacher/KansenSakura-Eclipse-RP-12B-heretic-i1-GGUF | mradermacher | 2026-03-10T19:10:44Z | 3,613 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Sorihon/KansenSakura-Eclipse-RP-12B-heretic",
"base_model:quantized:Sorihon/KansenSakura-Eclipse-RP-12B-heretic",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-10T17:29:37Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
soketlabs/sarthi-agri-v1 | soketlabs | 2026-01-31T06:57:02Z | 118 | 3 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"text-generation",
"conversational",
"en",
"hi",
"dataset:soketlabs/Sarathi-AgriData",
"base_model:google/gemma-3-27b-it",
"base_model:finetune:google/gemma-3-27b-it",
"license:apache-2.0",
"text-generation-inference",
"endpoin... | text-generation | 2026-01-17T12:00:00Z | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
**Sarthi-agri-v1** is a research-preview large language model which is domain-adapted for structured agricultural advisory generation. The model is fine-tuned from **[google/gemma-3-27b-it](https://huggingface.co/... | [] |
mradermacher/Phi-4-mini-instruct-heretic-v1.2-i1-GGUF | mradermacher | 2026-03-10T06:54:27Z | 3,745 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"mpoa",
"en",
"base_model:grayarea/Phi-4-mini-instruct-heretic-v1.2",
"base_model:quantized:grayarea/Phi-4-mini-instruct-heretic-v1.2",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-10T03:58:21Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
AnnaWegmann/Style-Embedding | AnnaWegmann | 2025-10-23T08:53:05Z | 7,928 | 23 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"dataset:AnnaWegmann/StyleEmbeddingData",
"arxiv:2204.04907",
"base_model:FacebookAI/roberta-base",
"base_model:finetune:FacebookAI/roberta-base",
"text-embeddings-inference",
"endpoints... | sentence-similarity | 2022-05-11T12:42:35Z | # Style Embedding
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
for more info see [Style-Embeddings](https://github.com/nlpsoc/Style-Embeddings)
see published paper a... | [] |
chenly124/Qwen3.5-4B-PaperWitch-heresy-Q8_0-GGUF | chenly124 | 2026-03-03T01:46:13Z | 817 | 2 | transformers | [
"transformers",
"gguf",
"llm",
"qwen3.5",
"heresy",
"uncensored",
"decensored",
"abliterated",
"llama-cpp",
"text-generation",
"en",
"zh",
"base_model:MuXodious/Qwen3.5-4B-PaperWitch-heresy",
"base_model:quantized:MuXodious/Qwen3.5-4B-PaperWitch-heresy",
"license:apache-2.0",
"endpoint... | text-generation | 2026-03-03T01:40:43Z | # chenly124/Qwen3.5-4B-PaperWitch-heresy-Q8_0-GGUF
This model was converted to GGUF format from [`MuXodious/Qwen3.5-4B-PaperWitch-heresy`](https://huggingface.co/MuXodious/Qwen3.5-4B-PaperWitch-heresy) using the latest [llama.cpp](https://github.com/ggml-org/llama.cpp).
Refer to the [original model card](https://huggin... | [] |
facebook/pe-av-large | facebook | 2026-01-29T14:16:07Z | 1,824 | 53 | null | [
"safetensors",
"pe_audio_video",
"arxiv:2512.19687",
"license:apache-2.0",
"region:us"
] | null | 2025-09-12T13:30:28Z | # Perception Encoder Audio-Visual (PE-AV)
PE-AV is a state-of-the-art multimodal model that embeds audio, video, audio-video, and text into a joint embedding space. The model enables powerful cross-modal retrieval and understanding across audio, video, and text modalities.
## Model Description
PE-AV is trained using... | [] |
snuh/hari-q3-14b | snuh | 2025-12-17T14:23:43Z | 754 | 10 | null | [
"safetensors",
"qwen3",
"medical",
"clinical",
"QA",
"benchmark",
"healthcare",
"korean",
"reasoning",
"ko",
"en",
"base_model:Qwen/Qwen3-14B-Base",
"base_model:finetune:Qwen/Qwen3-14B-Base",
"license:apache-2.0",
"region:us"
] | null | 2025-06-11T07:56:32Z | 🧠 **Korean Medical LLM (QA-Finetuned) by Healthcare AI Research Institute of Seoul National University Hospital**
Welcome to the official repository of the **Korean Medical Large Language Model (LLM)** developed by the **Healthcare AI Research Institute (HARI)** at **Seoul National University Hospital (SNUH)**.
---
... | [] |
p-e-w/Qwen3-8B-heretic | p-e-w | 2026-02-11T10:32:15Z | 365 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"arxiv:2309.00071",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-8B-Base",
"base_model:finetune:Qwen/Qwen3-8B-Base",
"license:apache-2.0",
"text-generation-inf... | text-generation | 2026-02-11T10:30:05Z | # This is a decensored version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B), made using [Heretic](https://github.com/p-e-w/heretic) v1.1.0
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 18.68 |
| **attn.o_proj.max_weight** | 1.28 |
| **attn.o_proj.max_weight... | [
{
"start": 35,
"end": 48,
"text": "Qwen/Qwen3-8B",
"label": "benchmark name",
"score": 0.7539620399475098
},
{
"start": 73,
"end": 86,
"text": "Qwen/Qwen3-8B",
"label": "benchmark name",
"score": 0.6127203106880188
},
{
"start": 298,
"end": 329,
"text": "a... |
mozilla-ai/Llama-3.2-1B-Instruct-llamafile | mozilla-ai | 2025-05-04T15:52:53Z | 258 | 36 | null | [
"llamafile",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"arxiv:2204.05149",
"license:llama3.2",
"region:us"
] | null | 2024-10-02T08:25:15Z | # LLaMA 3.2 1B Instruct - llamafile
This is a large language model that was released by Meta on 2024-09-25.
This edition of LLaMA packs a lot of quality in a size small enough to
run on most computers with 4GB+ of RAM. See also its sister model
[Llama-3.2-1B-Instruct-llamafile](https://huggingface.co/Mozilla/Llama-3.2... | [] |
DavidAU/Qwen3.5-2B-Polaris-HighIQ-Thinking-Compact | DavidAU | 2026-03-03T23:49:41Z | 161 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"unsloth",
"instruct",
"finetune",
"thinking",
"reasoning",
"conversational",
"dataset:TeichAI/polaris-alpha-1000x",
"base_model:Qwen/Qwen3.5-2B",
"base_model:finetune:Qwen/Qwen3.5-2B",
"license:apache-2.0",
"endpoints_compa... | image-text-to-text | 2026-03-03T23:28:21Z | <h2>Qwen3.5-2B-Polaris-HighIQ-Thinking-Compact</h2>
Trained via Unsloth on Polaris 1000x dataset on local hardware [SUPER STRONG BREW].
Very short thinking traces, terse output (based on prompt requirements), and in some cases straight to generation, even in "thinking mode"
(if it doesn't need to "think" ... straight... | [] |
unsloth/FLUX.2-klein-4B-GGUF | unsloth | 2026-01-16T15:46:37Z | 30,696 | 111 | ggml | [
"ggml",
"gguf",
"text-to-image",
"unsloth",
"image-editing",
"flux",
"diffusion-single-file",
"image-to-image",
"en",
"base_model:black-forest-labs/FLUX.2-klein-4B",
"base_model:quantized:black-forest-labs/FLUX.2-klein-4B",
"license:apache-2.0",
"region:us"
] | image-to-image | 2026-01-15T17:14:51Z | This is a GGUF quantized version of [FLUX.2-klein-4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-4B). <br>
unsloth/FLUX.2-klein-4B-GGUF uses [Unsloth Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) methodology for SOTA performance.
- Important layers are upcasted to higher precision.
-... | [] |
onnx-community/BiRefNet-ONNX | onnx-community | 2025-03-07T11:29:49Z | 166 | 13 | transformers.js | [
"transformers.js",
"onnx",
"birefnet",
"background-removal",
"mask-generation",
"Dichotomous Image Segmentation",
"Camouflaged Object Detection",
"Salient Object Detection",
"image-segmentation",
"base_model:ZhengPeng7/BiRefNet",
"base_model:quantized:ZhengPeng7/BiRefNet",
"license:mit",
"re... | image-segmentation | 2024-08-19T15:10:10Z | <h1 align="center">Bilateral Reference for High-Resolution Dichotomous Image Segmentation</h1>
<div align='center'>
<a href='https://scholar.google.com/citations?user=TZRzWOsAAAAJ' target='_blank'><strong>Peng Zheng</strong></a><sup> 1,4,5,6</sup>, 
<a href='https://scholar.google.com/citations?user=0uP... | [] |
dealignai/Qwen3.6-35B-A3B-JANGTQ4-CRACK | dealignai | 2026-04-26T01:56:14Z | 1,558 | 3 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"jang",
"jangtq",
"turboquant",
"quantized",
"mixed-precision",
"apple-silicon",
"moe",
"hybrid-attention",
"gated-deltanet",
"vision",
"abliterated",
"uncensored",
"crack",
"reasoning",
"thinking",
"reasoning-toggle",
"harmbench",
"mmlu",... | image-text-to-text | 2026-04-17T15:29:33Z | > **Important:** This model uses the **JANGTQ** (JANG TurboQuant) quantization format — an extreme-compression variant of JANG for MLX on Apple Silicon that uses codebook + Hadamard rotation on routed MoE experts while keeping attention, SSM, shared_expert, embed and lm_head at affine 8-bit. Currently only supported by... | [] |
ArtusDev/TheDrummer_Cydonia-24B-v4.3-EXL3 | ArtusDev | 2025-12-07T14:39:14Z | 101 | 3 | null | [
"exl3",
"base_model:TheDrummer/Cydonia-24B-v4.3",
"base_model:quantized:TheDrummer/Cydonia-24B-v4.3",
"region:us"
] | null | 2025-12-07T13:15:36Z | <style>
.container-dark {
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
line-height: 1.6;
color: #d4d4d4;
}
a {
color: #569cd6;
text-decoration: none;
font-weight: 600;
}
a:hover {
text-decoration: underline;
}
.card-da... | [] |
GorankLabs/Ranker-Gemma-4B | GorankLabs | 2026-04-09T12:49:10Z | 153 | 4 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"lora",
"peft",
"search",
"retrieval",
"grounded-generation",
"question-answering",
"ranker",
"conversational",
"en",
"base_model:google/gemma-3-4b-it",
"base_model:finetune:google/gemma-3-4b-it",
"license:gemma",
"text-g... | image-text-to-text | 2026-04-08T19:24:06Z | # Ranker-Gemma-4B
`Ranker-Gemma-4B` is a LoRA fine-tune built on top of `google/gemma-3-4b-it`, designed for fast search-style answering, grounded summarization, and concise web-assisted responses.
The model is tuned to behave like a lightweight answer engine: it prioritizes speed, directness, readable structure, and... | [
{
"start": 1207,
"end": 1227,
"text": "google/gemma-3-4b-it",
"label": "benchmark name",
"score": 0.6039878726005554
}
] |
baidu/ERNIE-4.5-21B-A3B-Thinking | baidu | 2025-11-26T07:53:13Z | 519 | 777 | transformers | [
"transformers",
"safetensors",
"ernie4_5_moe",
"text-generation",
"ERNIE4.5",
"conversational",
"en",
"zh",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-09-08T14:18:31Z | <div align="center" style="line-height: 1;">
<a href="https://ernie.baidu.com/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/🤖_Chat-ERNIE_Bot-blue" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://huggingface.co/baidu" target="_blank" s... | [] |
yusufbaykaloglu/qwen3.5-4b-turkish-sft-gguf | yusufbaykaloglu | 2026-03-09T13:27:06Z | 594 | 2 | gguf | [
"gguf",
"qwen3_5",
"turkish",
"qwen3.5",
"llama-cpp",
"quantized",
"sft",
"text-generation",
"tr",
"en",
"dataset:yusufbaykaloglu/helpsteer3-tr",
"base_model:yusufbaykaloglu/qwen3.5-4b-turkish-sft",
"base_model:quantized:yusufbaykaloglu/qwen3.5-4b-turkish-sft",
"license:apache-2.0",
"end... | text-generation | 2026-03-08T22:00:41Z | <p align="center">
<img src="model-banner.png" alt="Qwen3.5-4B Turkish SFT GGUF" width="400"/>
</p>
<h1 align="center">Qwen3.5-4B Turkish SFT — GGUF</h1>
<p align="center">
<b>Qwen3.5-4B Turkish SFT</b> modelinin GGUF formatında quantize edilmiş versiyonlarıdır.<br/>
CPU ve hafif GPU ortamlarında çalıştırılabil... | [] |
Mustafaege/Qwen3.5-0.8B-GGUF-q4_k_m | Mustafaege | 2026-03-05T23:36:52Z | 1,819 | 2 | null | [
"gguf",
"qwen3_5",
"vision",
"ocr",
"image-to-text",
"latex",
"document-understanding",
"multimodal",
"qwen3",
"llama.cpp",
"ollama",
"quantized",
"unsloth",
"image-text-to-text",
"en",
"base_model:unsloth/Qwen3.5-0.8B",
"base_model:quantized:unsloth/Qwen3.5-0.8B",
"license:apache-... | image-text-to-text | 2026-03-05T22:54:47Z | # Qwen3.5-0.8B Vision OCR — GGUF Q4_K_M
A **quantized GGUF export** of [`Mustafaege/Qwen3.5-0.8B-vision-LORA-16bit`](https://huggingface.co/Mustafaege/Qwen3.5-0.8B-vision-LORA-16bit) — a Qwen3.5-0.8B vision-language model fine-tuned for **document OCR and image-to-LaTeX** conversion.
Converted from the merged 16-bit ... | [] |
microsoft/resnet-50 | microsoft | 2024-02-13T21:24:05Z | 307,002 | 488 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"resnet",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:1512.03385",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-classification | 2022-03-16T15:42:43Z | # ResNet-50 v1.5
ResNet model pre-trained on ImageNet-1k at resolution 224x224. It was introduced in the paper [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385) by He et al.
Disclaimer: The team releasing ResNet did not write a model card for this model so this model card has been writ... | [] |
MiniMaxAI/SynLogic-Mix-3-32B | MiniMaxAI | 2025-06-10T02:53:28Z | 106 | 18 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"LLM",
"conversational",
"en",
"dataset:MiniMaxAI/SynLogic",
"arxiv:2505.19641",
"base_model:Qwen/Qwen2.5-32B",
"base_model:finetune:Qwen/Qwen2.5-32B",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:u... | text-generation | 2025-05-30T13:32:06Z | # SynLogic Zero-Mix-3: Large-Scale Multi-Domain Reasoning Model
* 🐙 **GitHub Repo:** [https://github.com/MiniMax-AI/SynLogic](https://github.com/MiniMax-AI/SynLogic)
* 📜 **Paper (arXiv):** [https://arxiv.org/abs/2505.19641](https://arxiv.org/abs/2505.19641)
* 🤗 **Dataset:** [SynLogic on Hugging Face](https://huggin... | [] |
tex8/Octen-Embedding-8B-GGUF | tex8 | 2026-02-20T19:01:40Z | 161 | 3 | sentence-transformers | [
"sentence-transformers",
"gguf",
"embedding",
"text-embeddings-inference",
"qwen3",
"en",
"zh",
"multilingual",
"base_model:Octen/Octen-Embedding-8B",
"base_model:quantized:Octen/Octen-Embedding-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-20T15:59:47Z | # Octen-Embedding-8B - GGUF Quantizations
GGUF quantizations of [Octen/Octen-Embedding-8B](https://huggingface.co/Octen/Octen-Embedding-8B), converted using [llama.cpp](https://github.com/ggerganov/llama.cpp) b8110.
Octen-Embedding-8B is a fine-tune of [Qwen/Qwen3-Embedding-8B](https://huggingface.co/Qwen/Qwen3-Embed... | [
{
"start": 349,
"end": 365,
"text": "RTEB Leaderboard",
"label": "benchmark name",
"score": 0.7600735425949097
}
] |
mradermacher/Exubria-Strix-i1-GGUF | mradermacher | 2025-12-24T15:09:00Z | 177 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:ClaudioItaly/Exubria-Strix",
"base_model:quantized:ClaudioItaly/Exubria-Strix",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-24T12:18:43Z | ## 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": 618,
"end": 639,
"text": "Exubria-Strix-i1-GGUF",
"label": "benchmark name",
"score": 0.6178562045097351
},
{
"start": 1192,
"end": 1213,
"text": "Exubria-Strix-i1-GGUF",
"label": "benchmark name",
"score": 0.6100084185600281
}
] |
cometadata/jina-reranker-v2-multilingual-affiliations-large | cometadata | 2026-01-02T08:46:56Z | 175 | 1 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"cross-encoder",
"reranker",
"generated_from_trainer",
"dataset_size:170000",
"loss:BinaryCrossEntropyLoss",
"text-ranking",
"custom_code",
"multilingual",
"arxiv:1908.10084",
"base_model:jinaai/jina-reranker-v2-base-multilingual",
"base_model:finetune... | text-ranking | 2026-01-01T08:00:23Z | # cometadata/jina-reranker-v2-multilingual-affiliations-large
This is a [Cross Encoder](https://www.sbert.net/docs/cross_encoder/usage/usage.html) model finetuned from [jinaai/jina-reranker-v2-base-multilingual](https://huggingface.co/jinaai/jina-reranker-v2-base-multilingual) using the [sentence-transformers](https:/... | [] |
unsloth/Qwen3.6-27B-NVFP4 | unsloth | 2026-05-04T05:59:35Z | 951 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"license:apache-2.0",
"endpoints_compatible",
"8-bit",
"compressed-tensors",
"region:us"
] | image-text-to-text | 2026-04-23T15:52:31Z | This is an Unsloth NVFP4 quantized checkpoint calibrated on the Hugging Face UltraChat dataset with sequences up to 16K context length and an approximately 2M-token calibration budget.
# Qwen3.6-27B
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3.6/logo.png">
## NVFP4 Runtime Benchmarks... | [
{
"start": 327,
"end": 332,
"text": "GSM8K",
"label": "benchmark name",
"score": 0.8111516833305359
},
{
"start": 337,
"end": 345,
"text": "MMLU-Pro",
"label": "benchmark name",
"score": 0.7976845502853394
},
{
"start": 503,
"end": 508,
"text": "GSM8K",
... |
RedHatAI/Mistral-Small-3.2-24B-Instruct-2506-NVFP4 | RedHatAI | 2025-12-04T19:07:03Z | 3,322 | 6 | null | [
"safetensors",
"mistral3",
"fp4",
"vllm",
"text-generation",
"conversational",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"base_model:unsloth/Mistral-Small-3.2-24B-Instruct-2506",
"base_model:quantized:unsloth/Mistral-Small-3.2-24B-Instruct-2506",
"license:apache-2.0",
"8-bit"... | text-generation | 2025-10-23T19:57:16Z | # Mistral-Small-3.2-24B-Instruct-2506-NVFP4
## Model Overview
- **Model Architecture:** unsloth/Mistral-Small-3.2-24B-Instruct-2506
- **Input:** Text
- **Output:** Text
- **Model Optimizations:**
- **Weight quantization:** FP4
- **Activation quantization:** FP4
- **Out-of-scope:** Use in any manner that violat... | [] |
Qwen/Qwen3-32B-MLX-bf16 | Qwen | 2025-07-07T08:49:38Z | 250 | 9 | mlx | [
"mlx",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2309.00071",
"arxiv:2505.09388",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-06-11T06:40:30Z | # Qwen3-32B-MLX-bf16
<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Qwen3 Highlights
Qwen3 is the latest generation of large lang... | [] |
mradermacher/Mistral-Nemo-Instruct-2407-heretic-noslop-MPOA-i1-GGUF | mradermacher | 2026-03-06T09:00:46Z | 3,612 | 1 | transformers | [
"transformers",
"gguf",
"mistral",
"nemo",
"heretic",
"abliterated",
"noslop",
"MPOA",
"peft",
"en",
"base_model:EldritchLabs/Mistral-Nemo-Instruct-2407-heretic-noslop-MPOA",
"base_model:quantized:EldritchLabs/Mistral-Nemo-Instruct-2407-heretic-noslop-MPOA",
"license:apache-2.0",
"endpoint... | null | 2026-03-06T07:50:47Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
parler-tts/parler-tts-large-v1 | parler-tts | 2024-11-22T16:17:20Z | 10,738 | 273 | transformers | [
"transformers",
"safetensors",
"parler_tts",
"text-generation",
"text-to-speech",
"annotation",
"en",
"dataset:parler-tts/mls_eng",
"dataset:parler-tts/libritts_r_filtered",
"dataset:parler-tts/libritts-r-filtered-speaker-descriptions",
"dataset:parler-tts/mls-eng-speaker-descriptions",
"arxiv... | text-to-speech | 2024-08-08T08:14:40Z | <img src="https://huggingface.co/datasets/parler-tts/images/resolve/main/thumbnail.png" alt="Parler Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Parler-TTS Large v1
<a target="_blank" href="https://huggingface.co/spaces/parler-tts/parler_tts">
<img src="https://huggingface.c... | [] |
mradermacher/GPT-OSS-Cybersecurity-20B-Merged-i1-GGUF | mradermacher | 2025-12-07T14:00:09Z | 776 | 5 | transformers | [
"transformers",
"gguf",
"cybersecurity",
"security",
"gpt-oss",
"openai",
"fine-tuned",
"merged",
"text-generation",
"moe",
"en",
"dataset:Trendyol/Trendyol-Cybersecurity-Instruction-Tuning-Dataset",
"dataset:AlicanKiraz0/Cybersecurity-Dataset-Fenrir-v2.0",
"dataset:trendmicro-ailab/Primus... | text-generation | 2025-12-07T10:52:56Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: MXFP4_MOE Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S ... | [
{
"start": 653,
"end": 693,
"text": "GPT-OSS-Cybersecurity-20B-Merged-i1-GGUF",
"label": "benchmark name",
"score": 0.6659611463546753
}
] |
mradermacher/Opulus-12B-v3-i1-GGUF | mradermacher | 2025-12-07T04:05:31Z | 183 | 1 | transformers | [
"transformers",
"gguf",
"merge",
"en",
"dataset:Gryphe/Opus-WritingPrompts",
"dataset:anthracite-org/nopm_claude_writing_fixed",
"dataset:nothingiisreal/Claude-3-Opus-Instruct-15K",
"base_model:Babsie/Opulus-12B-v3",
"base_model:quantized:Babsie/Opulus-12B-v3",
"license:apache-2.0",
"endpoints_c... | null | 2025-09-28T15:54:00Z | ## 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": 612,
"end": 633,
"text": "Opulus-12B-v3-i1-GGUF",
"label": "benchmark name",
"score": 0.6983978152275085
},
{
"start": 1186,
"end": 1207,
"text": "Opulus-12B-v3-i1-GGUF",
"label": "benchmark name",
"score": 0.6442143321037292
},
{
"start": 1358,
"en... |
mradermacher/atom-80b-i1-GGUF | mradermacher | 2026-03-02T21:05:24Z | 1,184 | 3 | transformers | [
"transformers",
"gguf",
"qwen3",
"qwen3-next",
"qwen",
"vanta-research",
"cognitive-configuration",
"text-generation",
"instruction-following",
"cognitive-ai",
"large-language-model",
"helpful-ai",
"aligned-ai",
"philosophical",
"emotional-intelligence",
"atom",
"collaborative-ai",
... | text-generation | 2026-01-06T13:27:19Z | ## 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": 631,
"text": "atom-80b-i1-GGUF",
"label": "benchmark name",
"score": 0.6478133797645569
},
{
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"end": 1195,
"text": "atom-80b-i1-GGUF",
"label": "benchmark name",
"score": 0.6306989789009094
},
{
"start": 1341,
"end": 1357,
... |
ByteDance/Dolphin-v2 | ByteDance | 2025-12-12T06:09:57Z | 2,086 | 105 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"document-parsing",
"document-understanding",
"document-intelligence",
"ocr",
"layout-analysis",
"table-extraction",
"formula-recognition",
"code-extraction",
"multimodal",
"vision-language-model",
"conversational",
"zh... | image-text-to-text | 2025-12-01T08:01:54Z | # Dolphin-v2: Universal Document Parsing via Scalable Anchor Prompting
<a href="https://github.com/bytedance/Dolphin"><img src="https://img.shields.io/badge/Code-Github-blue"></a>
## Model Description
Dolphin-v2 is an enhanced universal document parsing model that substantially improves upon the original Dolphin. I... | [] |
WebraftAI/synapsellm-7b-mistral-v0.3-preview | WebraftAI | 2024-04-06T04:40:17Z | 659 | 1 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"code",
"conversational",
"en",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2023-11-29T10:32:26Z | # SynapseLLM:
SynapseLLM, a significant achievement by WebraftAI, represents a series of large language AI models designed to create robust, generalized, and decentralized information systems. This repository specifically houses the SynapseLLM finetuned version of Mistral. The finetuning process is conducted on a cust... | [] |
bartowski/google_gemma-3-270m-it-GGUF | bartowski | 2025-08-14T15:41:23Z | 3,267 | 4 | null | [
"gguf",
"text-generation",
"base_model:google/gemma-3-270m-it",
"base_model:quantized:google/gemma-3-270m-it",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-08-14T15:31:10Z | ## Llamacpp imatrix Quantizations of gemma-3-270m-it by google
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b6139">b6139</a> for quantization.
Original model: https://huggingface.co/google/gemma-3-270m-it
All quants made us... | [] |
stabilityai/stablecode-completion-alpha-3b | stabilityai | 2023-08-08T15:11:56Z | 635 | 118 | transformers | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"causal-lm",
"code",
"dataset:bigcode/starcoderdata",
"arxiv:2104.09864",
"arxiv:1910.02054",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2023-07-31T15:43:41Z | # `StableCode-Completion-Alpha-3B`
## Model Description
`StableCode-Completion-Alpha-3B` is a 3 billion parameter decoder-only code completion model pre-trained on diverse set of programming languages that were the top used languages based on the 2023 stackoverflow developer survey.
## Usage
The model is intended t... | [] |
nishantup/nanogpt-slm-instruct | nishantup | 2026-03-06T14:12:44Z | 104 | 1 | null | [
"instruction-tuned (SFT)",
"pytorch",
"nanogpt",
"instruction-tuning",
"sft",
"slm",
"from-scratch",
"license:mit",
"region:us"
] | null | 2026-03-04T11:46:28Z | # nanoGPT SLM Instruct -- 123.849984 Million Parameters
Instruction fine-tuned Small Language Model, trained from scratch -> pretrained on 133 classic english fiction books -> SFT on Alpaca-format instructions.
## Quick Start
### Option 1: Run directly (downloads model + runs 5 examples)
```bash
pip install ... | [] |
wargoninnovation/wargon-clothing-classifier | wargoninnovation | 2025-09-24T13:02:38Z | 185 | 4 | null | [
"safetensors",
"vit",
"image-classification",
"vision",
"clothing",
"fashion",
"pytorch",
"dataset:wargoninnovation/clothingdatasetsecondhand",
"base_model:google/vit-base-patch16-224",
"base_model:finetune:google/vit-base-patch16-224",
"license:apache-2.0",
"region:us"
] | image-classification | 2025-09-24T13:02:18Z | # Wargon Clothing Classifier
A Vision Transformer (ViT) based model for clothing classification, trained on secondhand clothing images. This model can classify 27 different types of clothing items with 73% accuracy.
## Model Details
### Model Description
This is a Vision Transformer model fine-tuned for clo... | [] |
lightonai/ColBERT-Zero-unsupervised | lightonai | 2026-02-23T11:38:31Z | 1,495 | 2 | PyLate | [
"PyLate",
"safetensors",
"modernbert",
"ColBERT",
"sentence-transformers",
"sentence-similarity",
"embeddings",
"retrieval",
"feature-extraction",
"generated_from_trainer",
"dataset_size:238998494",
"loss:CachedContrastive",
"en",
"arxiv:2602.16609",
"arxiv:2402.01613",
"arxiv:1908.100... | sentence-similarity | 2026-02-19T09:59:48Z | <div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/609bbe2f4932693ca2009d6a/xn21ll7YRj0ZftBli3-T5.jpeg" width="600" height="auto">
[](https://lighton.ai)
[![LinkedIn](https://img.shields.io/badge/LightOn-... | [
{
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"end": 816,
"text": "BEIR",
"label": "benchmark name",
"score": 0.8204232454299927
},
{
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"text": "SOTA",
"label": "evaluation metric",
"score": 0.7626886367797852
},
{
"start": 930,
"end": 934,
"text": "BEIR",
"... |
mradermacher/GLM-4.7-Flash-ultra-heretic-i1-GGUF | mradermacher | 2026-03-17T18:37:45Z | 36,712 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"en",
"zh",
"base_model:llmfan46/GLM-4.7-Flash-ultra-uncensored-heretic",
"base_model:quantized:llmfan46/GLM-4.7-Flash-ultra-uncensored-heretic",
"license:mit",
"endpoints_compatible",
"region:us",
"imat... | null | 2026-03-12T16:29:57Z | ## 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_... | [
{
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"text": "GLM-4.7-Flash-ultra-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.6674237847328186
}
] |
6DammK9/AstolfoXL | 6DammK9 | 2026-03-28T04:43:16Z | 286 | 4 | diffusers | [
"diffusers",
"tensorboard",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | 2025-03-19T14:55:22Z | # AstolfoXL (2EP, 1EP) #
# AstolfoVL (2.5EP) #
# AstolfoRF (3EP) #
## 2.5EP: AK-Evo 2EP based, vpred ##
- Base model: [AstolfoKarmix-XL](https://huggingface.co/6DammK9/AstolfoKarmix-XL), version [Evo 2EP](https://huggingface.co/6DammK9/AstolfoKarmix-XL/blob/main/25112201-2ep-50.safetensors)
- **Switched into vpred... | [] |
lightonai/LightOnOCR-2-1B-bbox-base | lightonai | 2026-01-21T10:31:28Z | 249 | 3 | transformers | [
"transformers",
"safetensors",
"mistral3",
"text-generation",
"ocr",
"document-understanding",
"vision-language",
"pdf",
"tables",
"forms",
"bounding-boxes",
"image-localization",
"image-text-to-text",
"conversational",
"en",
"fr",
"de",
"es",
"it",
"nl",
"pt",
"sv",
"da"... | image-text-to-text | 2026-01-16T16:12:03Z | <div align="center">
<img src="lightonocr-banner.png" alt="LightOnOCR-2-1B-bbox-base Banner" width="600"/>
</div>
# LightOnOCR-2-1B-bbox-base
**Base model with bounding boxes for fine-tuning.** This is the pre-RLVR checkpoint that predicts both text and image bounding boxes, ideal as a starting point for domain ada... | [
{
"start": 802,
"end": 814,
"text": "OlmOCR-Bench",
"label": "benchmark name",
"score": 0.842736542224884
}
] |
vrfai/Qwen3.6-27B-NVFP4 | vrfai | 2026-05-01T09:38:16Z | 1,176 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"nvfp4",
"quantized",
"compressed-tensors",
"blackwell",
"qwen3.6",
"vlm",
"vllm",
"conversational",
"base_model:Qwen/Qwen3.6-27B",
"base_model:quantized:Qwen/Qwen3.6-27B",
"license:apache-2.0",
"endpoints_compatible",
"... | image-text-to-text | 2026-04-24T03:37:36Z | # Qwen3.6-27B-NVFP4
NVFP4 quantized version of [Qwen/Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B) by [vrfai](https://huggingface.co/vrfai) using [llm-compressor](https://github.com/vllm-project/llm-compressor).
Tested and deployed on **2× NVIDIA RTX 5090** with full tensor-parallel inference via vLLM.
## NV... | [] |
nvidia/difix | nvidia | 2025-12-03T03:54:40Z | 27,115 | 23 | diffusers | [
"diffusers",
"safetensors",
"en",
"dataset:DL3DV/DL3DV-10K-Sample",
"arxiv:2503.01774",
"diffusers:DifixPipeline",
"region:us"
] | null | 2025-06-03T17:04:21Z | # **Difix3D+: Improving 3D Reconstructions with Single-Step Diffusion Models**
CVPR 2025 (Oral)
[**Code**](https://github.com/nv-tlabs/Difix3D) | [**Project Page**](https://research.nvidia.com/labs/toronto-ai/difix3d/) | [**Paper**](https://arxiv.org/abs/2503.01774)
## 📣📣 The commercially available model (Fixer)... | [] |
ByteDance/Sa2VA-InternVL3-2B | ByteDance | 2025-10-16T07:34:27Z | 303 | 1 | transformers | [
"transformers",
"safetensors",
"sa2va_chat",
"feature-extraction",
"Sa2VA",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"arxiv:2501.04001",
"base_model:OpenGVLab/InternVL3-8B",
"base_model:merge:OpenGVLab/InternVL3-8B",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2025-10-16T07:29:36Z | # Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
[\[📂 GitHub\]](https://github.com/bytedance/Sa2VA)
[\[📜 Sa2VA paper\]](https://arxiv.org/abs/2501.04001)
[\[🚀 Quick Start\]](#quick-start)
## Introduction
Sa2VA is an MLLM capable of question answering, visual prompt unders... | [
{
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"end": 7,
"text": "Sa2VA",
"label": "benchmark name",
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"end": 138,
"text": "Sa2VA",
"label": "benchmark name",
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{
"start": 145,
"end": 150,
"text": "Sa2VA",
"labe... |
prithivMLmods/Qwen3.5-9B-abliterated-v2-MAX | prithivMLmods | 2026-04-01T15:31:08Z | 113 | 2 | transformers | [
"transformers",
"safetensors",
"gguf",
"qwen3_5",
"image-text-to-text",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"refusal-ablated",
"vllm",
"pytorch",
"bf16",
"max",
"alignment-modified",
"reasoning",
"v2-MAX",
"llama.cpp",
"conversa... | image-text-to-text | 2026-03-28T16:47:06Z | 
# **Qwen3.5-9B-abliterated-v2-MAX**
> **Qwen3.5-9B-abliterated-v2-MAX** is an advanced unredacted evolution built on top of **Qwen/Qwen3.5-9B**. This version introduces a **more optimized abliteration rate**... | [
{
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"end": 145,
"text": "Qwen3.5-9B-abliterated-v2-MAX",
"label": "benchmark name",
"score": 0.6123833060264587
},
{
"start": 153,
"end": 182,
"text": "Qwen3.5-9B-abliterated-v2-MAX",
"label": "benchmark name",
"score": 0.621576726436615
}
] |
diffutron/DiffutronLM-0.3B-1st-Stage | diffutron | 2026-03-24T07:21:30Z | 136 | 1 | transformers | [
"transformers",
"safetensors",
"modernbert",
"fill-mask",
"mdlm",
"diffusion",
"text-generation",
"conversational",
"tr",
"dataset:metunlp/LlamaTurk-Instruction-Set",
"arxiv:2603.20466",
"base_model:diffutron/DiffutronLM-0.3B-Base",
"base_model:finetune:diffutron/DiffutronLM-0.3B-Base",
"l... | text-generation | 2025-11-13T11:25:22Z | # DiffutronLM-0.3B-1st-Stage
**DiffutronLM-0.3B-1st-Stage** is an intermediate checkpoint of the Diffutron series, a parameter-efficient, Masked Diffusion Language Model (MDLM) designed for the Turkish language.
This specific model represents the completion of the **first stage of instruction fine-tuning**. It has b... | [] |
cerebras/Qwen3-Coder-REAP-25B-A3B | cerebras | 2025-10-20T18:48:21Z | 192 | 78 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"qwen-coder",
"MOE",
"pruning",
"compression",
"conversational",
"en",
"arxiv:2510.13999",
"base_model:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"base_model:finetune:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"license:apache-2.0",
"endpoi... | text-generation | 2025-10-20T15:40:03Z | <p align="center">
<em>𓌳 <strong>REAP</strong>𓌳 the Experts: Why Pruning Prevails for One-Shot MoE Compression</em><br>
<img src="https://i.imgur.com/rmzG3gg.png" alt="REAP" width="75%">
</p>
# Qwen3-Coder-REAP-25B-A3B
## ✨ Highlights
Introducing **Qwen3-Coder-REAP-25B-A3B**, a **memory-efficient compressed v... | [] |
open-machine/Llama-3.1-8B-FlashNorm | open-machine | 2026-04-23T16:31:12Z | 822 | 2 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"flashnorm",
"transformer-tricks",
"efficient-inference",
"weightless-rmsnorm",
"arxiv:2407.09577",
"base_model:meta-llama/Llama-3.1-8B",
"base_model:finetune:meta-llama/Llama-3.1-8B",
"license:llama3.1",
"text-generation-inference",... | text-generation | 2026-04-22T18:27:03Z | # Llama-3.1-8B-FlashNorm
FlashNorm-prepared checkpoint of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B). Mathematically equivalent to the source model. This model was presented in the paper [FlashNorm: Fast Normalization for Transformers](https://huggingface.co/papers/2407.09577).
The per-... | [] |
stabilityai/StableBeluga1-Delta | stabilityai | 2023-07-27T18:53:45Z | 662 | 57 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:conceptofmind/cot_submix_original",
"dataset:conceptofmind/flan2021_submix_original",
"dataset:conceptofmind/t0_submix_original",
"dataset:conceptofmind/niv2_submix_original",
"arxiv:2302.13971",
"arxiv:2306.02707",
"lic... | text-generation | 2023-07-20T12:51:49Z | # Stable Belgua 1
## Model Description
`Stable Beluga 1` is a Llama65B model fine-tuned on an Orca style Dataset
## Usage
### Apply Delta Weights
Stable Beluga 1 cannot be used from the `stabilityai/StableBeluga1-Delta` weights alone. To obtain the correct model, one must add back the difference between LLaMA 65B ... | [] |
mradermacher/Qwen3-14B-Nexa-Uncensored-i1-GGUF | mradermacher | 2025-12-06T03:45:37Z | 419 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:lostman976/Qwen3-14B-Nexa-Uncensored",
"base_model:quantized:lostman976/Qwen3-14B-Nexa-Uncensored",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-24T01:23:00Z | ## 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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"label": "benchmark name",
"score": 0.700245201587677
},
{
"start": 735,
"end": 765,
"text": "Qwen3-14B-Nexa-Uncensored-GGUF",
"label": "benchmark name",
"score": 0.651281476020813
},
{
"star... |
PULSE-ECG/PULSE-7B | PULSE-ECG | 2024-10-28T01:31:15Z | 2,081 | 35 | null | [
"safetensors",
"llava_llama",
"medical",
"image-text-to-text",
"en",
"dataset:PULSE-ECG/ECGInstruct",
"dataset:PULSE-ECG/ECGBench",
"arxiv:2410.19008",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2024-10-20T18:55:54Z | # PULSE-7B
Dataset for paper "Teach Multimodal LLMs to Comprehend Electrocardiographic Images".
🌐 Project Page: [https://aimedlab.github.io/PULSE/](https://aimedlab.github.io/PULSE/)
📄 Paper: [https://arxiv.org/abs/2410.19008](https://arxiv.org/abs/2410.19008)
🧑💻 Code: [https://github.com/AIMedLab/PULSE](https... | [
{
"start": 2,
"end": 10,
"text": "PULSE-7B",
"label": "benchmark name",
"score": 0.6923028826713562
},
{
"start": 648,
"end": 656,
"text": "PULSE-7B",
"label": "benchmark name",
"score": 0.67640221118927
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{
"start": 1492,
"end": 1500,
"text": "PULSE-7B",... |
llmfan46/Qwen3.5-27B-ultra-uncensored-heretic-v1 | llmfan46 | 2026-03-31T18:21:29Z | 6,004 | 27 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"base_model:Qwen/Qwen3.5-27B",
"base_model:finetune:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-02-28T15:21:02Z | <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... | [] |
mradermacher/Llama-3.3-8B-Instruct-GGUF | mradermacher | 2025-12-30T15:40:18Z | 1,595 | 3 | transformers | [
"transformers",
"gguf",
"en",
"base_model:allura-forge/Llama-3.3-8B-Instruct",
"base_model:quantized:allura-forge/Llama-3.3-8B-Instruct",
"license:llama3.3",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-30T15:06:18Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/PE-Type-1-Vera-4B-GGUF | mradermacher | 2026-03-04T21:19:56Z | 419 | 3 | transformers | [
"transformers",
"gguf",
"google",
"gemma",
"deepmind",
"large-language-model",
"ai-persona-research",
"enneagram",
"chatbot",
"psychology",
"persona-research",
"research-model",
"roleplay",
"text-generation-inference",
"vanta-research",
"cognitive-alignment",
"project-enneagram",
"... | null | 2026-01-29T14:50:29Z | ## 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... | [] |
mradermacher/Magidonia-24B-v4.3-i1-GGUF | mradermacher | 2025-12-07T22:25:59Z | 1,598 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:TheDrummer/Magidonia-24B-v4.3",
"base_model:quantized:TheDrummer/Magidonia-24B-v4.3",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-07T21:22:06Z | ## 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_... | [] |
openai-community/gpt2 | openai-community | 2024-02-19T10:57:45Z | 11,832,115 | 3,136 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"tflite",
"rust",
"onnx",
"safetensors",
"gpt2",
"text-generation",
"exbert",
"en",
"doi:10.57967/hf/0039",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2022-03-02T23:29:04Z | # GPT-2
Test the whole generation capabilities here: https://transformer.huggingface.co/doc/gpt2-large
Pretrained model on English language using a causal language modeling (CLM) objective. It was introduced in
[this paper](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_mu... | [] |
LocoreMind/LocoTrainer-4B | LocoreMind | 2026-03-14T00:56:31Z | 2,023 | 55 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"code",
"agent",
"tool-calling",
"distillation",
"ms-swift",
"codebase-analysis",
"conversational",
"en",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:mit",
"text-generat... | text-generation | 2026-03-13T03:44:24Z | <div align="center">
<img src="assets/locotrainer.png" width="55%" alt="LocoTrainer" />
</div>
<br>
<div align="center">
[](https://pypi.org/project/locotrainer/)
[![MODEL](https://img.shields.io/badge/Model-FFB300?style... | [] |
SufficientPrune3897/Mistral-Small-3.2-24B-Character-Creator-V2-GGUF | SufficientPrune3897 | 2026-03-28T13:42:50Z | 1,283 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"mistral",
"roleplay",
"sillytavern",
"characters",
"en",
"base_model:mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"base_model:quantized:mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"license:apache-2.0",
"endpoints_compati... | null | 2026-03-21T08:59:56Z | This is a model made to create characters that can be used in Sillytavern, cai, jai and other such roleplay scenarios. The resulting characters should be about ~2k tokens and follow a prebaked structure.
Versions:
- 8B llama 3.3 based and [GGUFs](https://huggingface.co/SufficientPrune3897/Llama-3.3-8B-Character-Creato... | [] |
maddes8cht/pansophic-rocket-3B-gguf | maddes8cht | 2023-11-24T20:32:05Z | 199 | 1 | null | [
"gguf",
"en",
"arxiv:2305.18290",
"arxiv:2101.00027",
"arxiv:2305.06161",
"base_model:stabilityai/stablelm-3b-4e1t",
"base_model:quantized:stabilityai/stablelm-3b-4e1t",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | 2023-11-22T22:00:26Z | []()
I'm constantly enhancing these model descriptions to provide you with the most relevant and comprehensive information
# rocket-3B - GGUF
- Model creator: [pansophic](https://huggingface.co/pansophic)
- Original model: [rocket-3B](https:... | [] |
TheDrummer/Snowpiercer-15B-v4-GGUF | TheDrummer | 2025-11-22T17:24:47Z | 1,939 | 13 | null | [
"gguf",
"base_model:SillyTilly/ServiceNow-AI-Apriel-Nemotron-15b-Thinker-Chatml",
"base_model:quantized:SillyTilly/ServiceNow-AI-Apriel-Nemotron-15b-Thinker-Chatml",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-10T05:13:22Z | # Join our Discord! https://discord.gg/BeaverAI
## More than 8000 members strong 💪 A hub for users and makers alike!
---
## Drummer is open for new opportunites! Contact me through any of these channels: https://linktr.ee/thelocaldrummer
### Thank you to everyone who subscribed through [Patreon](https://www.patreon.co... | [] |
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