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 |
|---|---|---|---|---|---|---|---|---|---|---|
mradermacher/EgoActor-8b-Qwen3VL-i1-GGUF | mradermacher | 2026-04-18T17:39:02Z | 153 | 1 | transformers | [
"transformers",
"gguf",
"embodied-ai",
"action-planning",
"ai-agent",
"spatial-understanding",
"en",
"base_model:BAAI-Agents/EgoActor-8b-Qwen3VL",
"base_model:quantized:BAAI-Agents/EgoActor-8b-Qwen3VL",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
... | null | 2026-03-01T08:16:34Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 623,
"end": 650,
"text": "EgoActor-8b-Qwen3VL-i1-GGUF",
"label": "benchmark name",
"score": 0.6725372672080994
}
] |
demeleww/omnivoice-amharic | demeleww | 2026-04-28T19:31:08Z | 206 | 2 | omnivoice | [
"omnivoice",
"safetensors",
"text-to-speech",
"tts",
"voice-cloning",
"amharic",
"discrete-diffusion",
"am",
"en",
"zh",
"dataset:google/WaxalNLP",
"dataset:gheero-Leyu/leyu-amharic-addis-ababa-dialect",
"dataset:surafelabebe/amharic_clear_audio_tts",
"dataset:chappM/amharic-bdu-asr",
"a... | text-to-speech | 2026-04-22T17:27:41Z | # OmniVoice Amharic
Non-autoregressive discrete diffusion TTS for Amharic, fine-tuned from [OmniVoice](https://arxiv.org/abs/2604.00688) (Qwen3-0.6B + HiggsAudioV2, 8 codebooks).
Initialized from [v3](https://huggingface.co/demeleww/omnivoice-amharic-finetuned-v3), trained on a multi-dataset Amharic corpus (~81K samp... | [] |
mradermacher/InfiGUI-G1-3B-i1-GGUF | mradermacher | 2025-12-09T03:26:37Z | 321 | 1 | transformers | [
"transformers",
"gguf",
"gui",
"agent",
"gui-grounding",
"reinforcement-learning",
"en",
"base_model:InfiX-ai/InfiGUI-G1-3B",
"base_model:quantized:InfiX-ai/InfiGUI-G1-3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | reinforcement-learning | 2025-08-12T14:32:57Z | ## 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_K... | [] |
FINAL-Bench/Darwin-4B-Opus | FINAL-Bench | 2026-04-11T03:08:36Z | 271 | 15 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"darwin-v6",
"evolutionary-merge",
"mri-guided",
"dare-ties",
"reasoning",
"thinking",
"proto-agi",
"vidraft",
"text-generation",
"conversational",
"en",
"ko",
"ja",
"zh",
"multilingual",
"arxiv:2311.03099",
"base... | text-generation | 2026-04-08T03:14:44Z | # Darwin-4B-Opus
<p align="center">
<a href="https://huggingface.co/FINAL-Bench/Darwin-4B-Opus"><img src="https://img.shields.io/badge/🧬_Gen1-Darwin--4B--Opus-blue?style=for-the-badge" alt="Gen1"></a>
<a href="https://huggingface.co/FINAL-Bench/Darwin-4B-David"><img src="https://img.shields.io/badge/🧬_Gen2-Darwi... | [] |
utter-project/EuroLLM-1.7B | utter-project | 2024-11-27T13:00:19Z | 12,605 | 109 | transformers | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"de",
"es",
"fr",
"it",
"pt",
"pl",
"nl",
"tr",
"sv",
"cs",
"el",
"hu",
"ro",
"fi",
"uk",
"sl",
"sk",
"da",
"lt",
"lv",
"et",
"bg",
"no",
"ca",
"hr",
"ga",
"mt",
"gl",
"zh",
"ru",
"ko",... | text-generation | 2024-08-06T09:33:16Z | ## *Model updated on September 24*
# Model Card for EuroLLM-1.7B
This is the model card for the first pre-trained model of the EuroLLM series: EuroLLM-1.7B. You can also check the instruction tuned version: [EuroLLM-1.7B-Instruct](https://huggingface.co/utter-project/EuroLLM-1.7B-Instruct).
- **Developed by:** Unb... | [] |
mradermacher/InnerVerse-Qwen3-14B-v2-GGUF | mradermacher | 2026-03-03T07:30:38Z | 390 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Jrose620/InnerVerse-Qwen3-14B-v2",
"base_model:quantized:Jrose620/InnerVerse-Qwen3-14B-v2",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-03T07:07:51Z | ## 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": 361,
"end": 384,
"text": "InnerVerse-Qwen3-14B-v2",
"label": "benchmark name",
"score": 0.7818455100059509
},
{
"start": 521,
"end": 549,
"text": "InnerVerse-Qwen3-14B-v2-GGUF",
"label": "benchmark name",
"score": 0.8277050852775574
},
{
"start": 1245,
... |
CrashOverrideX/Quillan-Ronin | CrashOverrideX | 2026-04-18T05:39:41Z | 3,131 | 1 | transformers | [
"transformers",
"safetensors",
"gguf",
"llama",
"text-generation",
"multimodal",
"image-generation",
"video-generation",
"audio-generation",
"en",
"base_model:CrashOverrideX/Quillan-Ronin",
"base_model:quantized:CrashOverrideX/Quillan-Ronin",
"license:mit",
"text-generation-inference",
"... | text-generation | 2026-03-03T16:39:28Z | # Quillan-Ronin v6.0 - Expanded Council Architecture
An advanced multimodal AI with 34 expert councils and 300,000 micro-agents.
"3.3B total parameters in production mode. Active parameters per token are lower due to Top-1 MoE routing."
Weights are in Tarz format by huggingface default so extract the weights from the ... | [] |
ggml-org/Qwen3-Coder-30B-A3B-Instruct-Q8_0-GGUF | ggml-org | 2025-08-20T11:10:44Z | 223,824 | 7 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"base_model:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"base_model:quantized:Qwen/Qwen3-Coder-30B-A3B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-08-20T10:49:54Z | # ggml-org/Qwen3-Coder-30B-A3B-Instruct-Q8_0-GGUF
This model was converted to GGUF format from [`Qwen/Qwen3-Coder-30B-A3B-Instruct`](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origin... | [] |
cs2764/Qwen3.5-122B-A10B-8bit-abliterated-mlx | cs2764 | 2026-03-03T03:55:53Z | 880 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"abliteration",
"uncensored",
"experimental",
"license:other",
"8-bit",
"region:us"
] | null | 2026-03-03T03:50:44Z | # Qwen3.5-122B-A10B-8bit-abliterated
This model was created using the [mlx-abliteration](https://github.com/cs2764/mlx-abliteration) toolkit,
which is based on the [FiditeNemini/mlx-abliteration](https://github.com/FiditeNemini/mlx-abliteration) project.
## Base Model
Original model: `./models/Qwen3.5-122B-A10B-8bit... | [] |
FacebookAI/roberta-base | FacebookAI | 2024-02-19T12:39:28Z | 14,258,535 | 574 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"roberta",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1907.11692",
"arxiv:1806.02847",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:04Z | # RoBERTa base model
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1907.11692) and first released in
[this repository](https://github.com/pytorch/fairseq/tree/master/examples/roberta). This model is case-sensitive: it
make... | [] |
Murasaki-Project/Murasaki-8B-v0.2 | Murasaki-Project | 2026-03-14T15:06:36Z | 107 | 1 | transformers | [
"transformers",
"gguf",
"translation",
"light-novel",
"galgame",
"anime-subtitles",
"cot",
"system-2",
"text-generation-inference",
"pytorch",
"text-generation",
"ja",
"zh",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-02-09T06:44:25Z | <div align="center">
<img src="https://github.com/soundstarrain/Murasaki-Translator/raw/main/GUI/resources/icon.png" width="120" height="120" alt="Murasaki Logo">
<h1 align="center">Murasaki-8B-v0.2</h1>
**System 2 Reasoning Model for ACGN Translation**<br>
**原生 CoT 思维链 · 长上下文 · ACGN 领域特化翻译模型**
[Github](https://git... | [] |
nightmedia/Qwen3.5-35B-A3B-Holodeck-qx86-hi-mlx | nightmedia | 2026-03-09T21:14:49Z | 1,671 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"qwen3.5",
"vision-language-model",
"deckard",
"coding",
"research",
"deep thinking",
"256k context",
"All use cases",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story gene... | image-text-to-text | 2026-03-06T03:31:07Z | # Qwen3.5-35B-A3B-Holodeck-qx86-hi-mlx
# Holodeck
This is the Holodeck on Space Station DS9 in Star Trek Universe.
Brainwaves
```brainwaves
arc arc/e boolq hswag obkqa piqa wino
... | [] |
unsloth/gemma-3-270m-it-qat | unsloth | 2025-08-14T19:54:17Z | 1,706 | 2 | transformers | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"gemma3",
"unsloth",
"gemma",
"google",
"conversational",
"arxiv:2503.19786",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:2311.07911",
... | text-generation | 2025-08-14T11:08:14Z | <div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
<div style="display: flex; gap: 5px; align-items: center; ">
<a href="https://github.com/u... | [
{
"start": 1176,
"end": 1184,
"text": "bfloat16",
"label": "evaluation metric",
"score": 0.6168377995491028
}
] |
moonshotai/Kimi-VL-A3B-Instruct | moonshotai | 2026-01-30T04:51:04Z | 299,618 | 258 | transformers | [
"transformers",
"safetensors",
"kimi_vl",
"feature-extraction",
"agent",
"video",
"screenspot",
"long-context",
"image-text-to-text",
"conversational",
"custom_code",
"arxiv:2504.07491",
"base_model:moonshotai/Moonlight-16B-A3B",
"base_model:finetune:moonshotai/Moonlight-16B-A3B",
"licen... | image-text-to-text | 2025-04-09T08:07:06Z | <div align="center">
<img width="30%" src="figures/logo.png">
</div>
<div align="center">
<a href="https://arxiv.org/abs/2504.07491">
<b>📄 Tech Report</b>
</a> |
<a href="https://github.com/MoonshotAI/Kimi-VL">
<b>📄 Github</b>
</a> |
<a href="https://huggingface.co/spaces/... | [] |
mradermacher/next-8b-i1-GGUF | mradermacher | 2026-03-05T01:07:30Z | 2,374 | 1 | transformers | [
"transformers",
"gguf",
"turkish",
"türkiye",
"reasoning",
"ai",
"lamapi",
"gemma3",
"next",
"next-x1",
"text-generation",
"open-source",
"14b",
"large-language-model",
"llm",
"transformer",
"artificial-intelligence",
"machine-learning",
"nlp",
"multilingual",
"instruction-tu... | text-generation | 2025-11-11T15:02:53Z | ## 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_... | [] |
sandeshrajx/Qwen3.5-24B-A3B-REAP-0.32-GGUF | sandeshrajx | 2026-03-07T01:31:41Z | 7,815 | 8 | transformers | [
"transformers",
"gguf",
"qwen",
"MOE",
"pruning",
"compression",
"GGUF",
"text-generation",
"en",
"arxiv:2510.13999",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"... | text-generation | 2026-03-04T08:51:10Z | <p align="center">
<em>𓌳 <strong>REAP</strong>𓌳 the Experts: Why Pruning Prevails for One-Shot MoE Compression</em><br>
</p>
# Qwen3.5-24B-A3B-REAP-0.32
## ✨ Highlights
Introducing **Qwen3.5-24B-A3B-REAP-0.32**, a **memory-efficient compressed variant** of Qwen3.5-35B-A3B that maintains the core reasoning and c... | [] |
mradermacher/dolphin-2.9.3-llama-3-8b-GGUF | mradermacher | 2025-07-15T11:08:42Z | 1,124 | 1 | transformers | [
"transformers",
"gguf",
"generated_from_trainer",
"en",
"base_model:dphn/dolphin-2.9.3-llama-3-8b",
"base_model:quantized:dphn/dolphin-2.9.3-llama-3-8b",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-06-27T16:29:35Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/dphn/dolphin-2.9.3-llama-3-8b
<!-- provided-files -->
***For a convenient overview and download list, visit our [model ... | [
{
"start": 365,
"end": 394,
"text": "dolphin-2.9.3-llama-3-8b-GGUF",
"label": "benchmark name",
"score": 0.6358657479286194
}
] |
caiovicentino1/Qwopus3.5-9B-v3-PolarQuant-MLX-4bit | caiovicentino1 | 2026-04-06T17:37:27Z | 611 | 3 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"polarquant",
"quantized",
"apple-silicon",
"reasoning",
"qwen3.5",
"text-generation",
"conversational",
"base_model:Jackrong/Qwopus3.5-9B-v3",
"base_model:quantized:Jackrong/Qwopus3.5-9B-v3",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2026-04-01T00:16:27Z | # 🍎 PolarQuant MLX 4-bit — Qwopus3.5-9B-v3
**PolarQuant Q5 dequant → MLX 4-bit** for Apple Silicon inference.
PPL **6.44** — better than CUDA torchao INT4 (6.48), only +0.07 from FP16 baseline (6.37).
## 🎯 Key Results
| Metric | Value |
|---|---|
| **Perplexity** | **6.44** (FP16: 6.37, CUDA INT4: 6.48, torchao a... | [
{
"start": 4,
"end": 14,
"text": "PolarQuant",
"label": "benchmark name",
"score": 0.8452837467193604
},
{
"start": 15,
"end": 24,
"text": "MLX 4-bit",
"label": "evaluation metric",
"score": 0.6659179329872131
},
{
"start": 46,
"end": 56,
"text": "PolarQua... |
nineninesix/kani-tts-400m-ky | nineninesix | 2026-02-18T01:38:26Z | 120 | 4 | transformers | [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"text-to-speech",
"ky",
"arxiv:2501.15907",
"arxiv:2506.09827",
"base_model:nineninesix/kani-tts-400m-0.3-pt",
"base_model:finetune:nineninesix/kani-tts-400m-0.3-pt",
"license:other",
"endpoints_compatible",
"region:us"
] | text-to-speech | 2025-10-19T18:36:26Z | <p>
<img src="https://cdn-uploads.huggingface.co/production/uploads/64fab67bd268b2f1ad8a826b/Tr9m7BSyfbNLp_2qevxyM.png" alt="Logo" width="200" height="200">
</p>
# KaniTTS Kyrgyz
[](https://discord.gg/NzP3rjB4SB) [![License](https://... | [] |
bartowski/Ilya626_Cydonia_Vistral-GGUF | bartowski | 2025-10-27T12:49:58Z | 253 | 2 | null | [
"gguf",
"text-generation",
"base_model:Ilya626/Cydonia_Vistral",
"base_model:quantized:Ilya626/Cydonia_Vistral",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-26T03:50:04Z | ## Llamacpp imatrix Quantizations of Cydonia_Vistral by Ilya626
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/b6818">b6818</a> for quantization.
Original model: https://huggingface.co/Ilya626/Cydonia_Vistral
All quants made us... | [] |
Wuli-art/Qwen-Image-2512-Turbo-LoRA-2-Steps | Wuli-art | 2026-01-30T06:12:24Z | 31,211 | 110 | diffusers | [
"diffusers",
"Qwen",
"distillation",
"lora",
"text-to-image",
"en",
"zh",
"base_model:Qwen/Qwen-Image-2512",
"base_model:adapter:Qwen/Qwen-Image-2512",
"license:apache-2.0",
"region:us"
] | text-to-image | 2026-01-28T09:26:53Z | <div align="center">
<img src="https://img.alicdn.com/imgextra/i4/O1CN011xTzi6280yXyGmk9b_!!6000000007871-0-tps-3072-938.jpg" width=300 />
</div>
This is a **2-step turbo LoRA** for [Qwen Image 2512](https://huggingface.co/Qwen/Qwen-Image-2512) trained by Wuli Team, representing an advancement over [our 4-step turbo L... | [] |
mradermacher/GLM-OCR-i1-GGUF | mradermacher | 2026-02-23T06:02:59Z | 441 | 1 | transformers | [
"transformers",
"gguf",
"zh",
"en",
"fr",
"es",
"ru",
"de",
"ja",
"ko",
"base_model:zai-org/GLM-OCR",
"base_model:quantized:zai-org/GLM-OCR",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-21T06:05:36Z | ## 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_... | [] |
mradermacher/Llama-3.2-1B-Instruct-abliterated-i1-GGUF | mradermacher | 2024-10-02T14:56:09Z | 481 | 5 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Llama-3.2-1B-Instruct-abliterated",
"base_model:quantized:huihui-ai/Llama-3.2-1B-Instruct-abliterated",
"license:llama3.2",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2024-10-02T14:51:45Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/huihui-ai/Llama-3.2-1B-Instruct-abliterated
<!-- provided-files -->
static quants are available at htt... | [] |
prithivMLmods/Gliese-Qwen3.5-4B-Abliterated-Caption | prithivMLmods | 2026-03-11T12:50:16Z | 2,491 | 7 | transformers | [
"transformers",
"safetensors",
"gguf",
"qwen3_5",
"image-text-to-text",
"text-generation-inference",
"pytorch",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"refusal-ablated",
"vllm",
"bf16",
"max",
"alignment-modified",
"reasoning",
"conversational",
"en",
"zh",
... | image-text-to-text | 2026-03-11T09:21:44Z | 
# **Gliese-Qwen3.5-4B-Abliterated-Caption**
> **Gliese-Qwen3.5-4B-Abliterated-Caption** is an abliterated evolution built on top of **Qwen/Qwen3.5-4B**, designed specifically for **generalized and unfiltered... | [] |
mradermacher/magnusbot-qwen-GGUF | mradermacher | 2026-03-08T06:06:42Z | 745 | 1 | transformers | [
"transformers",
"gguf",
"chess",
"custom-transformer",
"move-prediction",
"en",
"base_model:Jochemvkem/magnusbot",
"base_model:quantized:Jochemvkem/magnusbot",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-04T05:40:28Z | ## 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... | [] |
YanLabs/gemma-3-27b-it-abliterated-normpreserve-GGUF | YanLabs | 2026-01-17T12:58:50Z | 3,093 | 14 | null | [
"gguf",
"text-generation",
"base_model:YanLabs/gemma-3-27b-it-abliterated-normpreserve",
"base_model:quantized:YanLabs/gemma-3-27b-it-abliterated-normpreserve",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-11-28T16:01:23Z | GGUF of YanLabs/gemma3-27b-it-abliterated-normpreserve
# Gemma 3 27B Instruct - Norm-Preserving Abliterated
UPDATED ON 03-12-2025 FOR QUALITY IMPROVEMENT.
This is an abliterated version of [google/gemma-3-27b-it](https://huggingface.co/google/gemma-3-27b-it) using the norm-preserving biprojected abliteration techniq... | [] |
ytu-ce-cosmos/Turkish-Gemma-9b-T1-GGUF | ytu-ce-cosmos | 2025-09-24T09:46:03Z | 1,360 | 18 | null | [
"gguf",
"ggml",
"gemma",
"cosmosgemma",
"turkish gemma",
"t1",
"tr",
"en",
"base_model:ytu-ce-cosmos/Turkish-Gemma-9b-T1",
"base_model:quantized:ytu-ce-cosmos/Turkish-Gemma-9b-T1",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-23T19:46:52Z | # CosmosGemma T1 GGUFs
## Objective
Due to the need for quantized models in real-time applications, we introduce our GGUF formatted models. These models are part of
GGML project with a hope to democratize the use of Large Models. Depending on the quantization type, there are 20+ models.
### Features
* All quantizati... | [] |
telepix/PIXIE-Spell-Preview-0.6B | telepix | 2025-09-19T00:41:08Z | 2,844 | 6 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3",
"sentence-similarity",
"dense-encoder",
"dense",
"feature-extraction",
"telepix",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2025-08-19T00:51:18Z | <p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/61d6f4a4d49065ee28a1ee7e/V8n2En7BlMNHoi1YXVv8Q.png" width="400"/>
<p>
# PIXIE-Spell-Preview-0.6B
**PIXIE-Spell-Preview-0.6B** is a decoder-based embedding model trained on Korean and English dataset,
developed by [TelePIX Co., Ltd]... | [
{
"start": 160,
"end": 184,
"text": "PIXIE-Spell-Preview-0.6B",
"label": "benchmark name",
"score": 0.8014750480651855
},
{
"start": 187,
"end": 211,
"text": "PIXIE-Spell-Preview-0.6B",
"label": "benchmark name",
"score": 0.7997888922691345
}
] |
LLM4Binary/llm4decompile-22b-v2 | LLM4Binary | 2024-06-25T07:00:27Z | 126 | 29 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"decompile",
"binary",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-06-23T11:37:12Z | ### 1. Introduction of LLM4Decompile
LLM4Decompile aims to decompile x86 assembly instructions into C. The newly released V2 series are trained with a larger dataset (2B tokens) and a maximum token length of 4,096, with remarkable performance (up to 100% improvement) compared to the previous model.
- **Github Reposit... | [] |
mradermacher/Lunar-Twilight-12B-i1-GGUF | mradermacher | 2026-01-09T12:00:42Z | 127 | 5 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Vortex5/Lunar-Twilight-12B",
"base_model:quantized:Vortex5/Lunar-Twilight-12B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-09T10:17:28Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 463,
"end": 481,
"text": "Lunar-Twilight-12B",
"label": "benchmark name",
"score": 0.66874098777771
},
{
"start": 618,
"end": 644,
"text": "Lunar-Twilight-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.7598638534545898
},
{
"start": 718,
"end":... |
mradermacher/LLaMA-3.1-8B-LongRLVR-GGUF | mradermacher | 2026-03-01T18:35:37Z | 661 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Guanzheng/LLaMA-3.1-8B-LongRLVR",
"base_model:quantized:Guanzheng/LLaMA-3.1-8B-LongRLVR",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-01T14:19:17Z | ## 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": 520,
"end": 546,
"text": "LLaMA-3.1-8B-LongRLVR-GGUF",
"label": "benchmark name",
"score": 0.6846528053283691
},
{
"start": 1296,
"end": 1317,
"text": "LLaMA-3.1-8B-LongRLVR",
"label": "benchmark name",
"score": 0.6080832481384277
}
] |
mradermacher/qqWen-3B-RL-i1-GGUF | mradermacher | 2025-12-16T03:05:26Z | 103 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:morganstanley/qqWen-3B-RL",
"base_model:quantized:morganstanley/qqWen-3B-RL",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-18T16:57:01Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [
{
"start": 616,
"end": 635,
"text": "qqWen-3B-RL-i1-GGUF",
"label": "benchmark name",
"score": 0.6342235803604126
}
] |
Rattatammanoon/hurricane-od-thai-plate-detector | Rattatammanoon | 2025-12-25T10:07:04Z | 144 | 1 | ultralytics | [
"ultralytics",
"object-detection",
"yolov8",
"license-plate-detection",
"thai",
"computer-vision",
"dataset:custom",
"license:apache-2.0",
"region:us"
] | object-detection | 2025-12-25T10:03:13Z | # HurricaneOD - Thai License Plate Detector 🚗🔍
<div align="center">
[](https://opensource.org/licenses/Apache-2.0)
[](https://huggingface.co/Rattatammano... | [] |
unsloth/GLM-4.6V-GGUF | unsloth | 2025-12-27T10:36:28Z | 4,149 | 22 | transformers | [
"transformers",
"gguf",
"unsloth",
"image-text-to-text",
"zh",
"en",
"arxiv:2507.01006",
"base_model:zai-org/GLM-4.6V",
"base_model:quantized:zai-org/GLM-4.6V",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | image-text-to-text | 2025-12-17T08:10:28Z | # Read our How to [Run GLM-4.6 Guide!](https://docs.unsloth.ai/models/glm-4.6-how-to-run-locally)
<div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</... | [] |
freddm/Nemotron-Cascade-2-30B-A3B-GGUF | freddm | 2026-03-20T17:43:31Z | 794 | 2 | transformers | [
"transformers",
"gguf",
"nvidia",
"nemotron-cascade-2",
"reasoning",
"general-purpose",
"SFT",
"RL",
"text-generation",
"en",
"arxiv:2603.19220",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-03-20T16:41:42Z | # Nemotron-Cascade-2-30B-A3B
<p align="center">
[](https://arxiv.org/abs/2603.19220)
[](https://huggingface.co/datasets/nvidia/Nemotron-Cascade-2-SFT-Data)
[![RL Dataset](ht... | [
{
"start": 2,
"end": 28,
"text": "Nemotron-Cascade-2-30B-A3B",
"label": "benchmark name",
"score": 0.6727331280708313
},
{
"start": 706,
"end": 732,
"text": "Nemotron-Cascade-2-30B-A3B",
"label": "benchmark name",
"score": 0.6940596699714661
},
{
"start": 764,
... |
ibm-granite/granite-4.0-micro | ibm-granite | 2025-11-03T19:39:06Z | 112,644 | 262 | transformers | [
"transformers",
"safetensors",
"granitemoehybrid",
"text-generation",
"language",
"granite-4.0",
"conversational",
"arxiv:0000.00000",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-09-16T19:47:09Z | [](https://mot.isitopen.ai/model/1160)
# Granite-4.0-Micro
📣 **Update [10-07-2025]:** Added a *default system prompt* to the chat template to guide the model towards more *professional, accurate, and safe* responses.
**Mod... | [] |
Overworld/Waypoint-1.5-1B | Overworld | 2026-04-17T18:41:37Z | 2,376 | 20 | world_engine | [
"world_engine",
"diffusers",
"safetensors",
"world-model",
"interactive-video",
"generative-worlds",
"real-time",
"consumer-gpu",
"diffusion",
"transformer",
"license:apache-2.0",
"region:us"
] | null | 2026-04-08T04:47:43Z | <video src="https://huggingface.co/Overworld/Waypoint-1.5-1B/resolve/main/assets/wp_1.5.mp4" controls autoplay loop muted playsinline width="100%"></video>
# Waypoint-1.5-1B
Waypoint-1.5-1B is the smallest dense model in Overworld’s Waypoint-1.5 family of real-time interactive video world models. Waypoint-1.5 is desi... | [] |
Text2MotionPrompter/Text2MotionPrompter | Text2MotionPrompter | 2025-12-31T13:22:39Z | 716 | 11 | null | [
"safetensors",
"qwen3_moe",
"zh",
"en",
"base_model:Qwen/Qwen3-30B-A3B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-30B-A3B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | null | 2025-12-29T04:28:49Z | # Text2MotionPrompter
Text2MotionPrompter is a large language model fine-tuned for text-to-motion prompt enhancement, rewriting, and motion duration prediction.
Given a text description of a human action, Text2MotionPrompter will:
- reorganize the key motion information into a more readable structure;
- make implicit ... | [] |
mradermacher/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking-i1-GGUF | mradermacher | 2026-02-02T23:43:49Z | 345 | 2 | transformers | [
"transformers",
"gguf",
"uncensored",
"heretic",
"abliterated",
"unsloth",
"finetune",
"All use cases",
"bfloat16",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
... | null | 2026-02-02T15:49:52Z | ## 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": 463,
"end": 518,
"text": "Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking",
"label": "benchmark name",
"score": 0.6125675439834595
},
{
"start": 655,
"end": 718,
"text": "Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking-i1-GGUF",
"label": "benchmark ... |
ghost-actual/Qwen3.5-27B-Claude-Opus-4.6-Distilled-heretic | ghost-actual | 2026-03-07T20:35:52Z | 292 | 1 | null | [
"safetensors",
"qwen3_5",
"qwen3.5",
"reasoning",
"chain-of-thought",
"abliterated",
"uncensored",
"heretic",
"claude",
"conversational",
"Dense",
"text-generation",
"en",
"base_model:ZonoDilu/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled",
"base_model:finetune:ZonoDilu/Qwen3.5-27B-Cla... | text-generation | 2026-03-07T19:21:39Z | # Qwen3.5-27B-Claude-Opus-4.6-Distilled-heretic
A Qwen3.5-27B with Claude Opus 4.6 reasoning distillation, abliterated via [Heretic](https://github.com/p-e-w/heretic) to remove safety refusals while preserving reasoning quality.
## What is this?
This model combines two things that didn't exist together before:
- **C... | [
{
"start": 125,
"end": 132,
"text": "Heretic",
"label": "benchmark name",
"score": 0.64842289686203
},
{
"start": 159,
"end": 166,
"text": "heretic",
"label": "benchmark name",
"score": 0.613776445388794
},
{
"start": 704,
"end": 718,
"text": "Heretic v1.2... |
mradermacher/Huihui-Hunyuan-MT-7B-abliterated-i1-GGUF | mradermacher | 2025-12-28T20:17:28Z | 346 | 2 | transformers | [
"transformers",
"gguf",
"translation",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-Hunyuan-MT-7B-abliterated",
"base_model:quantized:huihui-ai/Huihui-Hunyuan-MT-7B-abliterated",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | translation | 2025-09-04T21:39:28Z | ## 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... | [] |
calcuis/wan2-gguf | calcuis | 2025-09-20T21:27:12Z | 3,759 | 39 | null | [
"gguf",
"gguf-node",
"text-to-video",
"base_model:Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"base_model:quantized:Comfy-Org/Wan_2.2_ComfyUI_Repackaged",
"license:apache-2.0",
"region:us"
] | text-to-video | 2025-07-29T01:18:00Z | ## **gguf quantized version of wan2.2 models**
- drag **wan** to > `./ComfyUI/models/diffusion_models`
- drag **umt5xxl** to > `./ComfyUI/models/text_encoders`
- drag **pig** to > `./ComfyUI/models/vae`
<Gallery />
tip: the lite lor... | [] |
unsloth/Qwen2.5-Coder-14B-Instruct-128K-GGUF | unsloth | 2024-11-14T01:21:25Z | 3,203 | 35 | transformers | [
"transformers",
"gguf",
"qwen2",
"unsloth",
"code",
"qwen",
"qwen-coder",
"codeqwen",
"en",
"arxiv:2409.12186",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-Coder-14B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-14B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"regio... | null | 2024-11-12T11:15:19Z | # YaRN 128K. 32K non extended GGUF here: [link](https://huggingface.co/unsloth/Qwen2.5-Coder-14B-Instruct-GGUF)
# Finetune Llama 3.1, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-... | [] |
SeaFill2025/Qwen3-4B-SFT | SeaFill2025 | 2026-04-03T12:28:05Z | 3,854 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"causal-lm",
"supervised-fine-tuning",
"math",
"reasoning",
"code",
"science",
"conversational",
"en",
"zh",
"base_model:Qwen/Qwen3-4B-Base",
"base_model:finetune:Qwen/Qwen3-4B-Base",
"license:apache-2.0",
"model-index",
"t... | text-generation | 2026-03-22T12:33:43Z | ## Qwen3-4B-SFT:
Qwen3-4B-SFT is a reasoning-focused model derived from Qwen3-4B-Base via full-parameter fine-tuning on the verl framework.
There is a notable shortage of reproducible 'warm-start' SFT bases in open-source practice, this model bridges the gap between base models and reinforcement learning models. Opt... | [
{
"start": 3,
"end": 15,
"text": "Qwen3-4B-SFT",
"label": "benchmark name",
"score": 0.8954963684082031
},
{
"start": 18,
"end": 30,
"text": "Qwen3-4B-SFT",
"label": "benchmark name",
"score": 0.8735325336456299
},
{
"start": 509,
"end": 521,
"text": "Qwen... |
mradermacher/Llama-3-BioHacker-8B-GGUF | mradermacher | 2025-11-28T04:00:10Z | 1,126 | 3 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:m3lbo29/Llama-3-BioHacker-8B",
"base_model:quantized:m3lbo29/Llama-3-BioHacker-8B",
"endpoints_compatible",
"region:us"
] | null | 2025-11-28T03:27:17Z | ## 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": 360,
"end": 380,
"text": "Llama-3-BioHacker-8B",
"label": "benchmark name",
"score": 0.7452681064605713
},
{
"start": 517,
"end": 542,
"text": "Llama-3-BioHacker-8B-GGUF",
"label": "benchmark name",
"score": 0.7732212543487549
},
{
"start": 1238,
"e... |
NIHRDataInsights/HRCSResearchActivityCodes | NIHRDataInsights | 2026-03-10T15:26:55Z | 125 | 1 | null | [
"safetensors",
"bert",
"text-classification",
"biology",
"medical",
"dataset:NIHRDataInsights/HRCSData",
"license:mit",
"region:us"
] | text-classification | 2026-02-23T09:48:38Z | # HRCS Research Activity Code Classifier
## Overview
This model, developed by the National Institute for Health and Care Research (NIHR), assigns HRCS Research Activity Codes to research awards using the award title and abstract (micro F1 = 0.60). When tags are aggregated to Research Activity Groups (RAGs), performanc... | [] |
onnx-community/granite-4.0-350m-ONNX-web | onnx-community | 2025-10-28T15:13:40Z | 15,694 | 4 | transformers.js | [
"transformers.js",
"onnx",
"granitemoehybrid",
"text-generation",
"language",
"granite-4.0",
"conversational",
"base_model:ibm-granite/granite-4.0-350m",
"base_model:quantized:ibm-granite/granite-4.0-350m",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-10-24T22:23:37Z | # Granite-4.0-350M
**Model Summary:**
Granite-4.0-350M is a lightweight instruct model finetuned from *Granite-4.0-350M-Base* using a combination of open source instruction datasets with permissive license and internally collected synthetic datasets. This model is developed using a diverse set of techniques including ... | [] |
bartowski/Captain-Eris_Violet-V0.420-12B-GGUF | bartowski | 2024-12-16T23:49:19Z | 1,099 | 11 | null | [
"gguf",
"mergekit",
"merge",
"text-generation",
"base_model:Nitral-AI/Captain-Eris_Violet-V0.420-12B",
"base_model:quantized:Nitral-AI/Captain-Eris_Violet-V0.420-12B",
"region:us"
] | text-generation | 2024-12-16T23:10:34Z | ## Llamacpp imatrix Quantizations of Captain-Eris_Violet-V0.420-12B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4327">b4327</a> for quantization.
Original model: https://huggingface.co/Nitral-AI/Captain-Eris_Violet-V0.420-... | [
{
"start": 37,
"end": 67,
"text": "Captain-Eris_Violet-V0.420-12B",
"label": "benchmark name",
"score": 0.6046227812767029
},
{
"start": 293,
"end": 323,
"text": "Captain-Eris_Violet-V0.420-12B",
"label": "benchmark name",
"score": 0.6305068135261536
}
] |
ABDALLALSWAITI/FLUX.1-dev-ControlNet-Union-Pro-2.0-fp8 | ABDALLALSWAITI | 2025-04-19T23:14:09Z | 3,501 | 57 | diffusers | [
"diffusers",
"safetensors",
"quantized",
"fp8",
"e4m3",
"Text-to-Image",
"ControlNet",
"Diffusers",
"Flux.1-dev",
"image-generation",
"Stable Diffusion",
"quantization",
"reduced-precision",
"text-to-image",
"en",
"base_model:Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0",
"base_m... | text-to-image | 2025-04-19T20:19:03Z | # FLUX.1-dev-ControlNet-Union-Pro-2.0 (FP8 Quantized)
This repository contains an FP8 quantized version of the [Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0) model. **This is NOT a fine-tuned model** but a direct quantization of the original ... | [] |
QuantTrio/MiniMax-M2.1-AWQ | QuantTrio | 2025-12-30T06:50:38Z | 2,466 | 10 | transformers | [
"transformers",
"safetensors",
"minimax_m2",
"text-generation",
"vLLM",
"AWQ",
"conversational",
"custom_code",
"arxiv:2509.06501",
"base_model:MiniMaxAI/MiniMax-M2.1",
"base_model:quantized:MiniMaxAI/MiniMax-M2.1",
"license:other",
"endpoints_compatible",
"4-bit",
"awq",
"region:us"
] | text-generation | 2025-12-28T09:52:12Z | # MiniMax-M2.1-AWQ
Base model: [MiniMaxAI/MiniMax-M2.1](https://huggingface.co/MiniMaxAI/MiniMax-M2.1)
### 【Dependencies / Installation】
```python
vllm==0.13.0
```
As of **2025-12-27**, make sure your system has cuda12.8 installed.
Then, create a fresh Python environment (e.g. python3.12 venv) and run:
```bash
pip ... | [
{
"start": 2,
"end": 12,
"text": "MiniMax-M2",
"label": "benchmark name",
"score": 0.6198290586471558
},
{
"start": 42,
"end": 52,
"text": "MiniMax-M2",
"label": "benchmark name",
"score": 0.7638162970542908
},
{
"start": 89,
"end": 99,
"text": "MiniMax-M2... |
mradermacher/Distil-PII-Llama-3.2-1B-Instruct-GGUF | mradermacher | 2025-10-15T03:00:08Z | 331 | 1 | transformers | [
"transformers",
"gguf",
"pii-redaction",
"privacy",
"slm",
"distil-labs",
"en",
"base_model:distil-labs/Distil-PII-Llama-3.2-1B-Instruct",
"base_model:quantized:distil-labs/Distil-PII-Llama-3.2-1B-Instruct",
"license:llama3.2",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-15T02:53:28Z | ## 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... | [] |
MaziyarPanahi/Ministral-3-3B-Reasoning-2512-GGUF | MaziyarPanahi | 2025-12-02T22:58:47Z | 107,607 | 4 | null | [
"gguf",
"mistral",
"quantized",
"2-bit",
"3-bit",
"4-bit",
"5-bit",
"6-bit",
"8-bit",
"GGUF",
"text-generation",
"base_model:mistralai/Ministral-3-3B-Reasoning-2512",
"base_model:quantized:mistralai/Ministral-3-3B-Reasoning-2512",
"region:us",
"conversational"
] | text-generation | 2025-12-02T22:56:29Z | # [MaziyarPanahi/Ministral-3-3B-Reasoning-2512-GGUF](https://huggingface.co/MaziyarPanahi/Ministral-3-3B-Reasoning-2512-GGUF)
- Model creator: [mistralai](https://huggingface.co/mistralai)
- Original model: [mistralai/Ministral-3-3B-Reasoning-2512](https://huggingface.co/mistralai/Ministral-3-3B-Reasoning-2512)
## Des... | [] |
CSHaitao/LegalOne-8B | CSHaitao | 2026-01-25T15:28:59Z | 227 | 6 | null | [
"safetensors",
"qwen3",
"legal",
"zh",
"base_model:Qwen/Qwen3-1.7B-Base",
"base_model:finetune:Qwen/Qwen3-1.7B-Base",
"license:mit",
"region:us"
] | null | 2026-01-22T15:31:48Z | # LegalOne: A Family of Foundation Models for Reliable Legal Reasoning
<p align="center">
<img src="fig/logo.png" alt="LegalOne Logo" width="20%"/>
</p>
<p align="center">
<a href="https://github.com/CSHaitao/LegalOne" target="_blank">
<img src="https://img.shields.io/badge/GitHub-LegalOne-blue?style=flat-squ... | [] |
jwest33/gemma-3-12b-it-null-space-abliterated-GGUF | jwest33 | 2025-12-20T19:46:58Z | 691 | 3 | gguf | [
"gguf",
"gemma",
"gemma-3",
"abliterated",
"uncensored",
"llama-cpp",
"arxiv:2410.02355",
"arxiv:2406.11717",
"arxiv:2310.01405",
"base_model:google/gemma-3-12b-it",
"base_model:quantized:google/gemma-3-12b-it",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-16T22:50:29Z | # Gemma 3 12B Instruct - Abliterated (GGUF)
GGUF quantizations of [google/gemma-3-12b-it](https://huggingface.co/google/gemma-3-12b-it) with refusal behavior removed via orthogonal projection. Uses null-space constraints and adaptive layer weighting to preserve model capabilities.
> **Note:** This model will prod... | [] |
nightmedia/gemma-4-E4B-it-Claude-Opus-4.5-HERETIC-UNCENSORED-Thinking-mxfp8-mlx | nightmedia | 2026-04-13T20:06:54Z | 432 | 1 | mlx | [
"mlx",
"safetensors",
"gemma4",
"nightmedia",
"gemma",
"google",
"mxfp8",
"any-to-any",
"base_model:DavidAU/gemma-4-E4B-it-Claude-Opus-4.5-HERETIC-UNCENSORED-Thinking",
"base_model:quantized:DavidAU/gemma-4-E4B-it-Claude-Opus-4.5-HERETIC-UNCENSORED-Thinking",
"license:apache-2.0",
"8-bit",
"... | any-to-any | 2026-04-11T21:22:48Z | # gemma-4-E4B-it-Claude-Opus-4.5-HERETIC-UNCENSORED-Thinking-mxfp8-mlx
The Jinja template was recently updated by Google.
It addresses a number of issues in tool handling and inference in general.
As a result, performance and general behavior will change when using it:
Brainwaves
```brainwaves
arc arc/e ... | [] |
deepseek-ai/DeepSeek-V2-Lite | deepseek-ai | 2024-06-25T08:37:17Z | 245,656 | 169 | transformers | [
"transformers",
"safetensors",
"deepseek_v2",
"text-generation",
"conversational",
"custom_code",
"arxiv:2405.04434",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-05-15T05:31:53Z | <!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V2" />
</div>
<hr>
<div align="center" style="line-... | [] |
unsloth/gemma-3-27b-it-GGUF | unsloth | 2025-08-14T19:58:58Z | 125,002 | 198 | transformers | [
"transformers",
"gguf",
"gemma3",
"image-text-to-text",
"unsloth",
"gemma",
"google",
"en",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.00161",
"arxiv:2009.03300",
"arxiv:230... | image-text-to-text | 2025-03-12T10:15:27Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/gemma-3-67d12b7e8816ec6efa7e4e5b">our collection</a> for all versions of Gemma 3 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em><a href="https://docs.... | [] |
RedHatAI/NVIDIA-Nemotron-3-Nano-30B-A3B-FP8 | RedHatAI | 2026-04-28T22:21:35Z | 3,157 | 4 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"nvidia",
"pytorch",
"conversational",
"custom_code",
"en",
"es",
"fr",
"de",
"ja",
"it",
"dataset:nvidia/Nemotron-Pretraining-Code-v1",
"dataset:nvidia/Nemotron-CC-v2",
"dataset:nvidia/Nemotron-Pretraining-SFT-v1",
"d... | text-generation | 2025-12-23T04:45:37Z | <h1 align: center; style="display: flex; align-items: center; gap: 10px; margin: 0;">
NVIDIA-Nemotron-3-Nano-30B-A3B-FP8
<img src="https://www.redhat.com/rhdc/managed-files/Catalog-Validated_model_0.png" alt="Model Icon" width="40" style="margin: 0; padding: 0;" />
</h1>
<a href="https://www.redhat.com/en/products/... | [] |
kaitchup/translategemma-27b-it-autoround-w4a16 | kaitchup | 2026-01-19T17:27:37Z | 178 | 1 | null | [
"safetensors",
"gemma3",
"dataset:kaitchup/opus100-translategemma-calib",
"base_model:google/translategemma-27b-it",
"base_model:quantized:google/translategemma-27b-it",
"license:gemma",
"4-bit",
"auto-round",
"region:us"
] | null | 2026-01-16T19:53:07Z | This is a quantized variant of **google/translategemma-27b-it**, created by **The Kaitchup** (newsletter: https://kaitchup.substack.com).
More details (training recipe, benchmarks, and recommended settings) will be added later. In the meantime, here are the current notes and a working inference example.
## Status / l... | [
{
"start": 776,
"end": 794,
"text": "max-model-len 2048",
"label": "evaluation metric",
"score": 0.7552614808082581
},
{
"start": 856,
"end": 861,
"text": "gemma",
"label": "benchmark name",
"score": 0.7882557511329651
},
{
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"text"... |
huihui-ai/gemma-3-12b-it-abliterated | huihui-ai | 2025-04-01T06:01:48Z | 406 | 23 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"abliterated",
"uncensored",
"conversational",
"base_model:google/gemma-3-12b-it",
"base_model:finetune:google/gemma-3-12b-it",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-03-24T04:00:01Z | # huihui-ai/gemma-3-12b-it-abliterated
This is an uncensored version of [google/gemma-3-12b-it](https://huggingface.co/google/gemma-3-12b-it) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
This is a crude, pr... | [] |
ntc-ai/SDXL-LoRA-slider.ultra-realistic-illustration | ntc-ai | 2024-01-04T11:04:31Z | 199 | 12 | diffusers | [
"diffusers",
"text-to-image",
"stable-diffusion-xl",
"lora",
"template:sd-lora",
"template:sdxl-lora",
"sdxl-sliders",
"ntcai.xyz-sliders",
"concept",
"en",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:adapter:stabilityai/stable-diffusion-xl-base-1.0",
"license:mit",
... | text-to-image | 2024-01-04T11:04:27Z | ---
language:
- en
thumbnail: "images/evaluate/ultra realistic illustration.../ultra realistic illustration_17_3.0.png"
widget:
- text: ultra realistic illustration
output:
url: images/ultra realistic illustration_17_3.0.png
- text: ultra realistic illustration
output:
url: images/ultra realistic illustrat... | [] |
stabilityai/stable-diffusion-3.5-large-controlnet-canny | stabilityai | 2024-11-28T00:55:24Z | 57,064 | 15 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion",
"controlnet",
"text-to-image",
"en",
"arxiv:2302.05543",
"license:other",
"region:us"
] | text-to-image | 2024-11-25T18:34:28Z | # Stable Diffusion 3.5 Large Controlnet - Canny
## Model
This repository provides the Canny ControlNet for [Stable Diffusion 3.5 Large.](https://stability.ai/news/introducing-stable-diffusion-3-5).
Please note: This model is released under the [Stability Community License](https:... | [] |
mradermacher/Ornstein-27B-SABER-GGUF | mradermacher | 2026-05-01T09:58:12Z | 678 | 1 | transformers | [
"transformers",
"gguf",
"refusal-ablation",
"capability-preserving",
"saber",
"qwen3.5",
"multimodal",
"27b",
"en",
"base_model:DJLougen/Ornstein-27B-SABER",
"base_model:quantized:DJLougen/Ornstein-27B-SABER",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-24T10:45:09Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: 1 -->
static ... | [
{
"start": 517,
"end": 540,
"text": "Ornstein-27B-SABER-GGUF",
"label": "benchmark name",
"score": 0.6504170298576355
},
{
"start": 1148,
"end": 1166,
"text": "Ornstein-27B-SABER",
"label": "benchmark name",
"score": 0.6210917234420776
},
{
"start": 1279,
"end... |
OpenGVLab/InternVL3_5-38B-Flash | OpenGVLab | 2025-09-28T07:06:35Z | 371 | 6 | 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 | 2025-09-28T06:36:01Z | # InternVL3_5-38B-Flash
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[📜 InternVL2.5-MPO\]](https://huggingface... | [] |
Neural-ICE/Gemma-4-26B-A4B-it-NVFP4 | Neural-ICE | 2026-04-09T21:25:21Z | 805 | 2 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"gemma-4",
"nvfp4",
"modelopt",
"vllm",
"quantization",
"moe",
"text-generation",
"conversational",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:quantized:google/gemma-4-26B-A4B-it",
"license:apache-2.0",
"endpoints_... | text-generation | 2026-04-08T01:32:04Z | # Gemma-4-26B-A4B-it-NVFP4
`NVFP4` quantized version of `google/gemma-4-26B-A4B-it` for `vLLM`.
This checkpoint is a Gemma 4 MoE model. Current `vLLM` releases still need the bundled `gemma4_patched.py` for correct NVFP4 MoE scale-key loading on this model family.
## Quantization Profile
- Text experts: `NVFP4`
- T... | [] |
mradermacher/Gemma-2-9B-PL-DevOps-Instruct-GGUF | mradermacher | 2026-02-05T20:13:45Z | 113 | 1 | transformers | [
"transformers",
"gguf",
"devops",
"kubernetes",
"ansible",
"terraform",
"yaml",
"pl",
"en",
"base_model:Ennon/Gemma-2-9B-PL-DevOps-Instruct",
"base_model:quantized:Ennon/Gemma-2-9B-PL-DevOps-Instruct",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-05T14:37:25Z | ## 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... | [] |
ruv/ruvltra-claude-code | ruv | 2026-03-28T14:48:21Z | 7,566 | 157 | gguf | [
"gguf",
"ruvltra",
"claude-code",
"code-generation",
"sona",
"adaptive-learning",
"self-learning",
"swarm-optimized",
"quantized",
"llama-cpp",
"text-generation-inference",
"first-of-its-kind",
"turboquant",
"kv-cache-compression",
"flash-attention",
"speculative-decoding",
"graph-ra... | text-generation | 2026-01-20T20:45:06Z | <div align="center">
# 🌟 RuvLTRA Claude Code
### **The World's First LLM Optimized for Claude Code**
[](https://opensource.org/licenses/Apache-2.0)
[](https://huggingfac... | [] |
google/metricx-24-hybrid-xxl-v2p6-bfloat16 | google | 2024-12-12T16:37:24Z | 11,149 | 3 | null | [
"pytorch",
"mt5",
"license:apache-2.0",
"region:us"
] | null | 2024-12-11T05:30:21Z | # MetricX-24 (XXL, bfloat16)
*This is not an officially supported Google product.*
> ℹ️ For the full-precision (float32) variant of this model, see [MetricX-24 (XXL)](https://huggingface.co/google/metricx-24-hybrid-xxl-v2p6).
**GitHub repository**: https://github.com/google-research/metricx
The repository contains ... | [
{
"start": 2,
"end": 12,
"text": "MetricX-24",
"label": "evaluation metric",
"score": 0.6345725059509277
},
{
"start": 151,
"end": 161,
"text": "MetricX-24",
"label": "evaluation metric",
"score": 0.6205884218215942
},
{
"start": 498,
"end": 508,
"text": "... |
nvidia/audio-flamingo-3 | nvidia | 2025-11-28T20:08:23Z | 215 | 143 | null | [
"safetensors",
"audio",
"reasoning",
"audio understanding",
"ASR",
"audio-text-to-text",
"en",
"dataset:nvidia/AudioSkills",
"dataset:nvidia/AF-Chat",
"dataset:nvidia/AF-Think",
"dataset:nvidia/LongAudio",
"arxiv:2507.08128",
"arxiv:2505.13032",
"license:other",
"region:us"
] | audio-text-to-text | 2025-07-10T07:47:16Z | # Model Overview
🚨 Audio Flamingo 3 has now been integrated to HuggingFace Transformers. Check out the model card [here](https://huggingface.co/nvidia/audio-flamingo-3-hf)!
<div align="center" style="display: flex; justify-content: center; align-items: center; text-align: center;">
<a href="https://github.com/NVID... | [] |
mradermacher/RECAST-Llama-tulu-GGUF | mradermacher | 2025-10-31T13:35:14Z | 838 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:wenhaoliu123/RECAST-Llama-tulu",
"base_model:quantized:wenhaoliu123/RECAST-Llama-tulu",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-31T12:59:23Z | ## 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/Rei-24B-KTO-i1-GGUF | mradermacher | 2025-07-16T02:07:10Z | 189 | 2 | transformers | [
"transformers",
"gguf",
"fine-tuning",
"prose",
"KTO",
"axolotl",
"finetune",
"roleplaying",
"creative-writing",
"en",
"base_model:Delta-Vector/Rei-24B-KTO",
"base_model:quantized:Delta-Vector/Rei-24B-KTO",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-07-15T23:38:17Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/Delta-Vector/Rei-24B-KTO
<!-- provided-files -->
***For a convenient overview and download list, visi... | [] |
NightForger/avibe-GGUF | NightForger | 2025-10-28T16:58:24Z | 227 | 9 | null | [
"gguf",
"avibe",
"qwen3",
"GGUF",
"text-generation",
"ru",
"en",
"base_model:AvitoTech/avibe",
"base_model:quantized:AvitoTech/avibe",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-28T12:15:00Z | # AvitoTech/avibe, Russian SFT-tune of qwen3-8b-base model with custom tokenizer [GGUF edition]
It is just fast GGUF version of [this model](https://huggingface.co/AvitoTech/avibe).
# Code example:
```python
# Please, use vllm or exl2
# Установка необходимых библиотек
#!pip install llama-cpp-python huggingface_hub
# ... | [] |
hlyn/prompt-injection-judge-8b | hlyn | 2026-04-05T08:02:36Z | 662 | 1 | null | [
"safetensors",
"gguf",
"llama",
"security",
"prompt-injection",
"cyber-security",
"orpo",
"llama-cpp",
"reasoning",
"text-generation",
"conversational",
"en",
"base_model:NousResearch/Hermes-3-Llama-3.1-8B",
"base_model:quantized:NousResearch/Hermes-3-Llama-3.1-8B",
"license:llama3.1",
... | text-generation | 2026-03-31T17:08:45Z | # 🛡️ Prompt Injection Defender (8B)
A production-grade, System-2 reasoning security judge designed strictly to detect and neutralize LLM prompt injection attacks.
Fine-tuned on top of **Hermes-3-Llama-3.1-8B** using ORPO (Odds Ratio Preference Optimization) and DoRA (Weight-Decomposed Low-Rank Adaptation). It is sp... | [] |
mradermacher/GhostFace-24B-v1-i1-GGUF | mradermacher | 2026-03-05T09:00:02Z | 14,888 | 2 | transformers | [
"transformers",
"gguf",
"della",
"sce",
"model_stock",
"scream",
"merge",
"mergekit",
"en",
"dataset:OccultAI/illuminati_imatrix_v1",
"base_model:Naphula/GhostFace-24B-v1",
"base_model:quantized:Naphula/GhostFace-24B-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imat... | null | 2026-03-05T04:36:07Z | ## 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": 640,
"text": "GhostFace-24B-v1-i1-GGUF",
"label": "benchmark name",
"score": 0.6663215756416321
},
{
"start": 714,
"end": 735,
"text": "GhostFace-24B-v1-GGUF",
"label": "benchmark name",
"score": 0.6205955743789673
},
{
"start": 1196,
"e... |
KJML/gpt-oss-20b-FP8-Dynamic | KJML | 2025-12-08T03:18:55Z | 604 | 1 | transformers | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"causal-lm",
"moe",
"fp8",
"conversational",
"english",
"arxiv:2508.10925",
"base_model:openai/gpt-oss-20b",
"base_model:quantized:openai/gpt-oss-20b",
"license:apache-2.0",
"endpoints_compatible",
"compressed-tensors",
"regi... | text-generation | 2025-12-04T04:31:27Z | # Model Card for `KJML/gpt-oss-20b-FP8-Dynamic`
This repository provides an FP8-dynamic quantized variant of **OpenAI’s `gpt-oss-20b`** model.
It is intended for users who want the reasoning capabilities of gpt-oss-20b with a **smaller memory footprint and faster inference** on modern GPUs that support FP8 inference... | [] |
mradermacher/Qwen3-Coder-30B-A3B-Instruct-480B-Distill-V2-Fp32-i1-GGUF | mradermacher | 2025-12-04T22:19:50Z | 352 | 2 | transformers | [
"transformers",
"gguf",
"causal-lm",
"moe",
"mixture-of-experts",
"qwen",
"distillation",
"svd",
"lora-merged",
"code-generation",
"en",
"code",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-12T06:32:29Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [] |
deepseek-ai/DeepSeek-OCR-2 | deepseek-ai | 2026-02-03T00:33:19Z | 1,220,426 | 879 | transformers | [
"transformers",
"safetensors",
"deepseek_vl_v2",
"feature-extraction",
"deepseek",
"vision-language",
"ocr",
"custom_code",
"image-text-to-text",
"multilingual",
"arxiv:2601.20552",
"arxiv:2510.18234",
"license:apache-2.0",
"eval-results",
"region:us"
] | image-text-to-text | 2026-01-27T02:56:54Z | <div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek AI" />
</div>
<hr>
<div align="center">
<a href="https://www.deepseek.com/" target="_blank">
<img alt="Homepage" src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figu... | [] |
bartowski/ai21labs_AI21-Jamba2-3B-GGUF | bartowski | 2026-01-08T17:27:33Z | 387 | 2 | null | [
"gguf",
"text-generation",
"base_model:ai21labs/AI21-Jamba2-3B",
"base_model:quantized:ai21labs/AI21-Jamba2-3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-01-08T16:31:10Z | ## Llamacpp imatrix Quantizations of AI21-Jamba2-3B by ai21labs
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/b7652">b7652</a> for quantization.
Original model: https://huggingface.co/ai21labs/AI21-Jamba2-3B
All quants made us... | [
{
"start": 37,
"end": 51,
"text": "AI21-Jamba2-3B",
"label": "benchmark name",
"score": 0.6061314940452576
}
] |
unsloth/Cosmos-Reason1-7B-GGUF | unsloth | 2025-11-11T12:22:23Z | 5,727 | 13 | transformers | [
"transformers",
"gguf",
"qwen2_5_vl",
"image-text-to-text",
"nvidia",
"unsloth",
"cosmos",
"en",
"dataset:nvidia/Cosmos-Reason1-SFT-Dataset",
"dataset:nvidia/Cosmos-Reason1-RL-Dataset",
"dataset:nvidia/Cosmos-Reason1-Benchmark",
"arxiv:2503.15558",
"base_model:nvidia/Cosmos-Reason1-7B",
"b... | image-text-to-text | 2025-05-24T13:40:48Z | <div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
<div style="display: flex; gap: 5px; align-items: center; ">
<a href="https://github.com/u... | [] |
bartowski/PokeeAI_pokee_research_7b-GGUF | bartowski | 2025-10-23T16:56:05Z | 169 | 3 | null | [
"gguf",
"text-generation",
"base_model:PokeeAI/pokee_research_7b",
"base_model:quantized:PokeeAI/pokee_research_7b",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-23T16:24:04Z | ## Llamacpp imatrix Quantizations of pokee_research_7b by PokeeAI
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/b6818">b6818</a> for quantization.
Original model: https://huggingface.co/PokeeAI/pokee_research_7b
All quants mad... | [] |
knoopx/Qwen3.6-35B-A3B-NVFP4-GGUF | knoopx | 2026-05-02T01:41:11Z | 411 | 1 | null | [
"gguf",
"qwen3.6",
"moe",
"nvfp4",
"compressed-tensors",
"llama.cpp",
"text-generation",
"vision-language",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-04-29T21:52:35Z | # Qwen3.6-35B-A3B-NVFP4 (GGUF)
GGUF conversion of [RedHatAI/Qwen3.6-35B-A3B-NVFP4](https://huggingface.co/RedHatAI/Qwen3.6-35B-A3B-NVFP4) for use with llama.cpp and compatible runtimes.
## Model Summary
| Property | Value ... | [] |
Fuyucchi/yolov8_animeface | Fuyucchi | 2024-10-14T07:59:15Z | 751 | 12 | ultralytics | [
"ultralytics",
"anime",
"face",
"yolov8",
"face detection",
"object-detection",
"base_model:Ultralytics/YOLOv8",
"base_model:finetune:Ultralytics/YOLOv8",
"license:agpl-3.0",
"model-index",
"region:us"
] | object-detection | 2024-10-14T07:24:38Z | # yolov8_animeface
Anime Face Detection using YOLOv8
## Dataset
Dataset was made created with 10 000 images manually annotated from safebooru. Split was train 70, val 20, test 10.
## Performance
This model is based on yolov8x6. It has been trained on the said dataset for 300 epoch at 1280px*1280px. It took ~110 hour... | [
{
"start": 485,
"end": 493,
"text": "mAP50-95",
"label": "evaluation metric",
"score": 0.6972065567970276
}
] |
EuroBERT/EuroBERT-2.1B | EuroBERT | 2025-10-18T16:20:10Z | 1,174 | 67 | transformers | [
"transformers",
"pytorch",
"safetensors",
"eurobert",
"fill-mask",
"code",
"custom_code",
"en",
"fr",
"de",
"es",
"zh",
"it",
"ru",
"pl",
"pt",
"ja",
"vi",
"nl",
"ar",
"tr",
"hi",
"arxiv:2503.05500",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | fill-mask | 2025-02-21T13:16:55Z | # EuroBERT-2.1B
<div>
<img src="img/banner.png" width="100%" alt="EuroBERT" />
</div>
## Table of Contents
1. [Overview](#overview)
2. [Usage](#Usage)
3. [Evaluation](#Evaluation)
4. [License](#license)
5. [Citation](#citation)
## Overview
EuroBERT is a family of multilingual encoder models designed for a variety... | [
{
"start": 2,
"end": 15,
"text": "EuroBERT-2.1B",
"label": "benchmark name",
"score": 0.6556158661842346
},
{
"start": 69,
"end": 77,
"text": "EuroBERT",
"label": "benchmark name",
"score": 0.6682555079460144
},
{
"start": 246,
"end": 254,
"text": "EuroBER... |
robbyant/lingbot-vla-4b | robbyant | 2026-01-28T07:02:41Z | 225 | 27 | null | [
"safetensors",
"arxiv:2601.18692",
"arxiv:2508.02317",
"region:us"
] | null | 2026-01-26T16:00:20Z | # A Pragmatic VLA Foundation Model
<p align="center">
<img src="assets/Teaser.png" width="100%">
</p>
**LingBot-VLA** has focused on **Pragmatic**:
- **Large-scale Pre-training Data**: 20,000 hours of real-world
data from 9 popular dual-arm robot configurations.
- **Strong Performance**: Achieve clear superiority o... | [
{
"start": 271,
"end": 289,
"text": "Strong Performance",
"label": "evaluation metric",
"score": 0.6167241334915161
},
{
"start": 381,
"end": 400,
"text": "Training Efficiency",
"label": "evaluation metric",
"score": 0.8869290947914124
}
] |
NoesisLab/Arcade-3B | NoesisLab | 2026-03-16T00:12:26Z | 137 | 8 | null | [
"safetensors",
"smollm3",
"smollm",
"smolreasoner",
"reasoning",
"instruction-tuned",
"arcade",
"sc-orthogonal",
"text-generation",
"conversational",
"en",
"base_model:HuggingFaceTB/SmolLM3-3B",
"base_model:finetune:HuggingFaceTB/SmolLM3-3B",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-03-15T04:31:00Z | # Arcade-3B — SmolReasoner
[](https://doi.org/10.5281/zenodo.19029063)[](https://opensource.org/licenses/Apache-2.0)
[![Base Model](https://img.shields.io/badge/Base-SmolLM3... | [] |
OpenGVLab/InternVL3-2B | OpenGVLab | 2025-09-11T12:49:13Z | 36,292 | 46 | transformers | [
"transformers",
"safetensors",
"internvl_chat",
"feature-extraction",
"internvl",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2412.05271",
"arxiv:2411.10442",
"arxiv:2504.10479",
"a... | image-text-to-text | 2025-04-10T16:40:29Z | # InternVL3-2B
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[📜 InternVL2.5-MPO\]](https://huggingface.co/paper... | [] |
Hansung-Cho/yolov8-ppe-detection | Hansung-Cho | 2025-11-27T12:01:54Z | 669 | 3 | ultralytics | [
"ultralytics",
"vision",
"object-detection",
"yolov8",
"pytorch",
"safety",
"ppe",
"hardhat",
"mask",
"construction",
"en",
"ko",
"license:mit",
"region:us"
] | object-detection | 2025-11-27T10:11:58Z | # 🦺 YOLOv8 PPE Detection – End-to-End Safety Vision Model
**Author:** Hansung Cho
**Model:** YOLOv8n fine-tuned for PPE (Personal Protective Equipment) detection on construction-like scenes.
이 모델은 건설 현장 등의 이미지/영상에서 **안전모(Hardhat), 마스크, 안전조끼(Safety Vest), 사람(Person)** 등 PPE 착용 여부를 탐지하기 위해 학습된 YOLOv8 기반 객체 탐지 모델입니다.... | [] |
mradermacher/Huihui-granite-4.0-micro-abliterated-i1-GGUF | mradermacher | 2025-12-05T02:55:24Z | 151 | 2 | transformers | [
"transformers",
"gguf",
"language",
"granite-4.0",
"abliterated",
"uncensored",
"en",
"base_model:huihui-ai/Huihui-granite-4.0-micro-abliterated",
"base_model:quantized:huihui-ai/Huihui-granite-4.0-micro-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"c... | null | 2025-10-03T18:03:56Z | ## 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": 638,
"end": 682,
"text": "Huihui-granite-4.0-micro-abliterated-i1-GGUF",
"label": "benchmark name",
"score": 0.6022336483001709
}
] |
mradermacher/gemma-4-21b-a4b-it-REAP-heretic-i1-GGUF | mradermacher | 2026-04-19T14:45:15Z | 7,614 | 6 | transformers | [
"transformers",
"gguf",
"safetensors",
"gemma4",
"moe",
"pruning",
"reap",
"cerebras",
"expert-pruning",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"en",
"base_model:coder3101/gemma-4-21b-a4b-it-REAP-heretic",
"base_model:quantized:coder3101/gemma-4-21b-a4b-it-REAP-... | null | 2026-04-14T12:46:04Z | ## 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": 634,
"end": 673,
"text": "gemma-4-21b-a4b-it-REAP-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.614030122756958
}
] |
Bl4ckSpaces/Animagen-XL-V3 | Bl4ckSpaces | 2026-03-18T22:02:58Z | 427 | 3 | diffusers | [
"diffusers",
"stable-diffusion-xl",
"sdxl",
"text-to-image",
"safetensors",
"merge",
"anime",
"2d",
"illustration",
"noobai",
"illustrious",
"en",
"base_model:Laxhar/noobai-XL-1.0",
"base_model:merge:Laxhar/noobai-XL-1.0",
"base_model:LyliaEngine/Pony_Diffusion_V6_XL",
"base_model:merg... | text-to-image | 2026-03-17T22:01:44Z | 
# Animagen XL v3
**Animagen XL v3** is a specialized, anime-focused SDXL model created by merging 9 distinct 2D and anime models.
Rather than using a standard equal-weig... | [
{
"start": 943,
"end": 950,
"text": "score_9",
"label": "benchmark name",
"score": 0.6542465686798096
}
] |
ayylmaonade/Qwen-3.5-35B-A3B-UD-MXFP4 | ayylmaonade | 2026-03-23T09:52:36Z | 1,886 | 1 | null | [
"gguf",
"qwen3_5_moe",
"qwen",
"unsloth",
"mxfp4",
"backup",
"archivist",
"conversational",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2026-03-11T10:28:33Z | # Qwen 3.5-35B-A3B (Unsloth MXFP4 Quantization) - Backup Archive
This repository contains a backup of the **Qwen 3.5-35B-A3B** model quantized using **Unsloth MXFP4** quantization. This is a **backup/archive** of a specific quantization version.
## Overview
This is an **unsloth MXFP4 quantized version** of the Qwen ... | [] |
convaiinnovations/ECG-Instruct-Llama-3.2-11B-Vision | convaiinnovations | 2026-01-28T14:58:04Z | 134 | 1 | unsloth | [
"unsloth",
"safetensors",
"mllama",
"llama-3.2",
"vision-language-model",
"ecg",
"cardiology",
"lora",
"medical-imaging",
"text-generation",
"convaiinnovations",
"conversational",
"en",
"dataset:ECGInstruct",
"base_model:unsloth/Llama-3.2-11B-Vision-Instruct",
"base_model:adapter:unslo... | text-generation | 2025-06-19T12:09:06Z | # High-Accuracy ECG Image Interpretation with LLaMA 3.2
This repository contains the official fine-tuned model from the paper: **"High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2"**.
**Peer Reviewed Paper at :** [BMJ Digital Health & AI: e000031](https://bmjd... | [] |
Qwen/Qwen3-14B | Qwen | 2025-07-26T03:49:23Z | 2,920,703 | 382 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2309.00071",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-14B-Base",
"base_model:finetune:Qwen/Qwen3-14B-Base",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-04-27T03:42:45Z | # Qwen3-14B
<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 language mode... | [] |
mradermacher/brayniac-Qwen3.5-27B-heretic-i1-GGUF | mradermacher | 2026-04-28T14:39:25Z | 5,663 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-25T07:53:24Z | ## 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_... | [] |
baa-ai/GLM-5.1-RAM-270GB-MLX | baa-ai | 2026-04-15T13:17:14Z | 3,509 | 2 | mlx | [
"mlx",
"safetensors",
"glm_moe_dsa",
"quantized",
"mixed-precision",
"glm",
"moe",
"base_model:zai-org/GLM-5.1",
"base_model:quantized:zai-org/GLM-5.1",
"license:other",
"4-bit",
"region:us"
] | null | 2026-04-07T23:59:48Z | # GLM-5.1 — 270GB (MLX)
Mixed-precision quantized version of [zai-org/GLM-5.1](https://huggingface.co/zai-org/GLM-5.1) optimised by [baa.ai](https://baa.ai) using a proprietary Black Sheep AI method.
Per-tensor bit-width allocation via advanced sensitivity analysis and budget-constrained optimisation — no calibra... | [
{
"start": 2,
"end": 9,
"text": "GLM-5.1",
"label": "benchmark name",
"score": 0.7409986853599548
},
{
"start": 73,
"end": 80,
"text": "GLM-5.1",
"label": "benchmark name",
"score": 0.6412790417671204
},
{
"start": 727,
"end": 735,
"text": "Shepherd",
... |
redlessone/DermLIP_PanDerm-base-w-PubMed-256 | redlessone | 2025-10-15T03:48:33Z | 129 | 11 | transformers | [
"transformers",
"open_clip",
"safetensors",
"vision",
"image-text-to-text",
"medical",
"dermatology",
"multimodal",
"clip",
"zero-shot-classification",
"image-classification",
"zero-shot-image-classification",
"en",
"arxiv:2503.14911",
"license:cc-by-4.0",
"endpoints_compatible",
"re... | zero-shot-image-classification | 2025-06-30T03:19:51Z | # DermLIP: Dermatology Language-Image Pretraining
## Model Description
**DermLIP** is a vision-language model for dermatology, trained on the **Derm1M** dataset—the largest dermatological image-text corpus to date. This model variant (`PanDerm-base-w-PubMed-256`) utilizes domain-specific pretraining to deliver superi... | [] |
tiiuae/falcon-7b-instruct | tiiuae | 2024-10-12T13:20:03Z | 59,728 | 1,032 | transformers | [
"transformers",
"pytorch",
"coreml",
"safetensors",
"falcon",
"text-generation",
"conversational",
"custom_code",
"en",
"dataset:tiiuae/falcon-refinedweb",
"arxiv:2205.14135",
"arxiv:1911.02150",
"arxiv:2005.14165",
"arxiv:2104.09864",
"arxiv:2306.01116",
"license:apache-2.0",
"text-... | text-generation | 2023-04-25T06:21:01Z | # ✨ Falcon-7B-Instruct
**Falcon-7B-Instruct is a 7B parameters causal decoder-only model built by [TII](https://www.tii.ae) based on [Falcon-7B](https://huggingface.co/tiiuae/falcon-7b) and finetuned on a mixture of chat/instruct datasets. It is made available under the Apache 2.0 license.**
*Paper coming soon 😊.*
... | [] |
kyr0/Gemma-4-Waldwicht-Sproessling | kyr0 | 2026-04-11T16:01:05Z | 399 | 2 | mlx | [
"mlx",
"safetensors",
"gemma4",
"text-generation",
"conversational",
"base_model:google/gemma-4-E2B-it",
"base_model:quantized:google/gemma-4-E2B-it",
"license:apache-2.0",
"3-bit",
"region:us"
] | text-generation | 2026-04-10T21:13:26Z | <div align="center">
<img src=https://github.com/kyr0/waldwicht/raw/main/waldwicht_banner.png>
**Sprössling** - MLX Edition - 3.17 GB
</div>
## Overview
**Waldwicht-Sproessling** is a high-quality 5-bit mixed-precision quantization of Gemma 4 E2B (2.3B effective parameters). At **3.17 GB** it matches or exceed... | [] |
styly-agents/Wan2-2-pixel-animate | styly-agents | 2025-12-10T18:37:12Z | 134 | 10 | diffusers | [
"diffusers",
"safetensors",
"lora",
"video-generation",
"image-to-video",
"pixel-art",
"sprite-animation",
"game-development",
"wan",
"comfyui",
"license:apache-2.0",
"region:us"
] | image-to-video | 2025-12-10T16:44:17Z | # Wan2.2 Pixel Animate Adapter
A LoRA adapter for Wan 2.2 I2V (Image-to-Video) model, fine-tuned specifically for generating pixel art sprite animations from static images.
## Model Details
| Property | Value |
|----------|-------|
| Base Model | Wan2.2-I2V-A14B (14B parameters) |
| Adapter Type | LoRA |
| LoRA Rank... | [] |
unsloth/InternVL3-38B-GGUF | unsloth | 2025-05-18T19:29:42Z | 271 | 4 | transformers | [
"transformers",
"gguf",
"internvl_chat",
"feature-extraction",
"internvl",
"unsloth",
"custom_code",
"image-text-to-text",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2412.05271",
"arxiv:2411.10442",
"arxiv:2504.10479",
"arxiv:2412.0961... | image-text-to-text | 2025-05-18T18:45:25Z | <div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
<div style="display: flex; gap: 5px; align-items: center; ">
<a href="https://github.com/u... | [] |
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