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 |
|---|---|---|---|---|---|---|---|---|---|---|
Kortix/FastApply-1.5B-v1.0_GGUF | Kortix | 2025-12-05T06:38:58Z | 435 | 5 | transformers | [
"transformers",
"gguf",
"qwen2",
"text-generation-inference",
"unsloth",
"trl",
"sft",
"fast-apply",
"instant-apply",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-10-24T08:41:29Z | > **Remember to use `temperature = 0` for optimal results during inference.**
# FastApply-1.5B-v1.0
[Github: kortix-ai/fast-apply](https://github.com/kortix-ai/fast-apply)
[Dataset: Kortix/FastApply-dataset-v1.0](https://huggingface.co/datasets/Kortix/FastApply-dataset-v1.0)
[Try it now on 👉 Google Colab](htt... | [] |
mradermacher/OctoMed-7B-i1-GGUF | mradermacher | 2025-12-05T04:02:18Z | 341 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:OctoMed/OctoMed-7B",
"base_model:quantized:OctoMed/OctoMed-7B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-03T04:12:31Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 610,
"end": 628,
"text": "OctoMed-7B-i1-GGUF",
"label": "benchmark name",
"score": 0.6223194003105164
}
] |
TheDrummer/Skyfall-31B-v4.1 | TheDrummer | 2026-03-05T17:55:37Z | 679 | 24 | null | [
"safetensors",
"mistral",
"base_model:mistralai/Magistral-Small-2509",
"base_model:finetune:mistralai/Magistral-Small-2509",
"region:us"
] | null | 2025-11-13T11:10:42Z | ## Drummer is open for new opportunities (I'm a Software Engineer). Contact me through any of these channels: https://linktr.ee/thelocaldrummer
### Thank you to everyone who subscribed through [Patreon](https://www.patreon.com/TheDrummer). Your support helps me chug along in this brave new world.
### FAQ for those out... | [] |
unsloth/Ministral-3-8B-Base-2512-bnb-4bit | unsloth | 2025-12-02T21:00:19Z | 117 | 1 | vllm | [
"vllm",
"safetensors",
"mistral3",
"mistral-common",
"unsloth",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"base_model:mistralai/Ministral-3-8B-Base-2512",
"base_model:quantized:mistralai/Ministral-3-8B-Base-2512",
"license:apache-2.0",
"4-bit",
"bitsan... | null | 2025-12-02T21:00:00Z | <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... | [] |
cashxout/Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2 | cashxout | 2026-02-17T12:59:20Z | 417 | 5 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"finetune",
"unsloth",
"abliterated",
"uncensored",
"specialized post tuning",
"claude-4.5-opus",
"reasoning",
"thinking",
"distill-fine-tune",
"moe",
"128 experts",
"256k context",
"mixture of experts",
"conversational... | text-generation | 2026-02-17T12:59:20Z | <h2>Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2</h2>
<img src="qwen-vl.gif" style="float:right; width:300px; height:300px; padding:10px;">
The power of Claude 4.5 Opus High Reasoning with the MOE power (and speed) of Qwen 30B-A3B 2507 Thinking (256k context, 128 experts).
This version... | [
{
"start": 1001,
"end": 1012,
"text": "128 experts",
"label": "evaluation metric",
"score": 0.6588353514671326
},
{
"start": 1202,
"end": 1215,
"text": "ARC-Challenge",
"label": "benchmark name",
"score": 0.6035400629043579
},
{
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"end": 1511,
... |
OpenMed/OpenMed-ZeroShot-NER-Pharma-Large-459M | OpenMed | 2025-10-19T15:57:19Z | 27,508 | 2 | gliner | [
"gliner",
"pytorch",
"token-classification",
"entity recognition",
"named-entity-recognition",
"zero-shot",
"zero-shot-ner",
"zero shot",
"biomedical-nlp",
"chemical-entity-recognition",
"drug-discovery",
"pharmacology",
"biocuration",
"chemical",
"en",
"arxiv:2508.01630",
"license:a... | token-classification | 2025-09-15T21:33:44Z | # 🧬 [OpenMed-ZeroShot-NER-Pharma-Large-459M](https://huggingface.co/OpenMed/OpenMed-ZeroShot-NER-Pharma-Large-459M)
**Specialized model for Chemical Entity Recognition - Chemical entities from the BC5CDR dataset**
[](https://opensource.org/license... | [] |
bartowski/UI-TARS-7B-DPO-GGUF | bartowski | 2025-01-23T21:33:17Z | 6,217 | 10 | null | [
"gguf",
"multimodal",
"gui",
"image-text-to-text",
"en",
"base_model:ByteDance-Seed/UI-TARS-7B-DPO",
"base_model:quantized:ByteDance-Seed/UI-TARS-7B-DPO",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | image-text-to-text | 2025-01-23T15:05:03Z | ## Llamacpp imatrix Quantizations of UI-TARS-7B-DPO
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/bytedance-research/UI-TARS-7B-DPO
All quants made us... | [
{
"start": 37,
"end": 51,
"text": "UI-TARS-7B-DPO",
"label": "benchmark name",
"score": 0.7056676149368286
},
{
"start": 286,
"end": 300,
"text": "UI-TARS-7B-DPO",
"label": "benchmark name",
"score": 0.7299022078514099
}
] |
Ysfxjo/marbert-complaint-sentiment | Ysfxjo | 2026-05-01T11:47:49Z | 287 | 1 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:UBC-NLP/MARBERTv2",
"base_model:finetune:UBC-NLP/MARBERTv2",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-11-24T20:29:11Z | <!-- 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. -->
# marbert-complaint-sentiment
This model is a fine-tuned version of [UBC-NLP/MARBERTv2](https://huggingface.co/UBC-NLP/MARBERTv2) o... | [
{
"start": 266,
"end": 275,
"text": "MARBERTv2",
"label": "benchmark name",
"score": 0.6012155413627625
},
{
"start": 414,
"end": 422,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.8121051788330078
},
{
"start": 424,
"end": 430,
"text": "0.7... |
unsloth/Qwen3-8B-unsloth-bnb-4bit | unsloth | 2025-05-13T21:20:37Z | 108,295 | 18 | null | [
"safetensors",
"qwen3",
"unsloth",
"arxiv:2309.00071",
"base_model:Qwen/Qwen3-8B",
"base_model:quantized:Qwen/Qwen3-8B",
"license:apache-2.0",
"4-bit",
"bitsandbytes",
"region:us"
] | null | 2025-04-28T14:34:06Z | # Qwen3-8B
## Qwen3 Highlights
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and mul... | [] |
LibraxisAI/Qwen3.5-VL-122B-A10B-mlx-crk-mxfp4 | LibraxisAI | 2026-04-27T17:39:33Z | 251 | 1 | mlx-vlm | [
"mlx-vlm",
"safetensors",
"qwen3_5_moe",
"mlx",
"multimodal",
"vision",
"video",
"image-text-to-text",
"conversational",
"apple-silicon",
"mxfp4",
"abliterated",
"crack",
"qwen",
"quantized",
"en",
"base_model:Qwen/Qwen3.5-122B-A10B",
"base_model:quantized:Qwen/Qwen3.5-122B-A10B",
... | image-text-to-text | 2026-03-10T09:38:42Z | # Qwen3.5-VL-122B-A10B-mlx-crk-mxfp4
`Qwen3.5-VL-122B-A10B-mlx-crk-mxfp4` is an MLX vision-language checkpoint derived from `Qwen/Qwen3.5-122B-A10B`, packaged for local multimodal prompting on Apple Silicon.
## Intended use
- Local image-and-text reasoning on Apple Silicon
- Document, screenshot, chart, and visual q... | [] |
nvidia/KVzap-mlp-Llama-3.1-8B-Instruct | nvidia | 2026-01-21T10:45:32Z | 142 | 3 | transformers | [
"transformers",
"safetensors",
"kvzap",
"nvidia",
"pytorch",
"other",
"dataset:nvidia/Nemotron-Pretraining-Dataset-sample",
"arxiv:2506.05345",
"arxiv:2601.07891",
"arxiv:2505.23416",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | other | 2025-12-03T07:10:19Z | # KVzap
[](https://www.apache.org/licenses/LICENSE-2.0)
[](https://github.com/NVIDIA/kvpress/tree/main/kvzap)
[![KVzap collection](https://img.shields.io/badge/🤗%20Hugging%20Fa... | [] |
mrdbourke/sunny-medgemma-1.5-4b-finetune | mrdbourke | 2026-02-19T05:09:52Z | 101 | 1 | transformers | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"generated_from_trainer",
"trl",
"sft",
"conversational",
"dataset:mrdbourke/sunny-skin-and-sunscreen-extract-1k",
"base_model:google/medgemma-1.5-4b-it",
"base_model:finetune:google/medgemma-1.5-4b-it",
"license:gemma",
"text-ge... | image-text-to-text | 2026-02-12T05:27:20Z | # Model Card for medgemma-1.5-4b-sunny-skin-finetune
This model is a fine-tuned version of [google/medgemma-1.5-4b-it](https://huggingface.co/google/medgemma-1.5-4b-it) on the [mrdbourke/sunny-skin-and-sunscreen-extract-1k](https://huggingface.co/datasets/mrdbourke/sunny-skin-and-sunscreen-extract-1k) dataset.
It has... | [] |
prithivMLmods/QIE-2511-Cinematic-FlatLog-Control | prithivMLmods | 2026-02-06T06:18:47Z | 3,635 | 4 | diffusers | [
"diffusers",
"art",
"FlatLog",
"Cinematic",
"lora",
"image-to-image",
"en",
"base_model:Qwen/Qwen-Image-Edit-2511",
"base_model:adapter:Qwen/Qwen-Image-Edit-2511",
"doi:10.57967/hf/7732",
"license:apache-2.0",
"region:us"
] | image-to-image | 2026-02-05T10:40:42Z | 
# **QIE-2511-Cinematic-FlatLog-Control**
> **QIE-2511-Cinematic-FlatLog-Control** is an adapter ... | [] |
knowledgator/gliner-linker-large-v1.0 | knowledgator | 2026-02-24T07:54:37Z | 234 | 8 | gliner | [
"gliner",
"pytorch",
"entity linking",
"GLiNER",
"GLiNKER",
"ner",
"bi-encoder",
"token-classification",
"en",
"arxiv:2602.18487",
"base_model:microsoft/deberta-v3-base",
"base_model:finetune:microsoft/deberta-v3-base",
"license:apache-2.0",
"region:us"
] | token-classification | 2026-01-28T18:08:35Z | # GLiNER-Linker: Entity Disambiguation Model
Bi-encoder model for entity disambiguation - the neural component (Layer 3) of the [GLiNKER framework](https://github.com/Knowledgator/GLinker).
## Models
|... | [] |
boboliu/Qwen3-Embedding-8B-W4A16-G128 | boboliu | 2025-06-07T15:27:59Z | 1,156 | 3 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3",
"text-generation",
"transformers",
"sentence-similarity",
"feature-extraction",
"base_model:Qwen/Qwen3-Embedding-8B",
"base_model:quantized:Qwen/Qwen3-Embedding-8B",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"c... | feature-extraction | 2025-06-06T17:20:13Z | # Qwen3-Embedding-8B-W4A16-G128
GPTQ Quantized [https://huggingface.co/Qwen/Qwen3-Embedding-8B](https://huggingface.co/Qwen/Qwen3-Embedding-8B) with [THUIR/T2Ranking](https://huggingface.co/datasets/THUIR/T2Ranking) and [m-a-p/COIG-CQIA](huggingface.co/datasets/m-a-p/COIG-CQIA) for calibration set.
## What's the bene... | [
{
"start": 386,
"end": 395,
"text": "3090/4090",
"label": "evaluation metric",
"score": 0.6338021755218506
},
{
"start": 483,
"end": 493,
"text": "Mean(Task)",
"label": "evaluation metric",
"score": 0.7802525162696838
},
{
"start": 496,
"end": 506,
"text":... |
mradermacher/Gemma-3-4B-Nova-Fabula-GGUF | mradermacher | 2026-03-11T03:03:51Z | 585 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:BusRune/Gemma-3-4B-Nova-Fabula",
"base_model:quantized:BusRune/Gemma-3-4B-Nova-Fabula",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-11T02:44:47Z | ## 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": 382,
"text": "Gemma-3-4B-Nova-Fabula",
"label": "benchmark name",
"score": 0.7245489358901978
},
{
"start": 519,
"end": 546,
"text": "Gemma-3-4B-Nova-Fabula-GGUF",
"label": "benchmark name",
"score": 0.7782747745513916
},
{
"start": 1242,
... |
mradermacher/PEARL-8B-i1-GGUF | mradermacher | 2025-12-05T07:15:59Z | 458 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Rex1090/PEARL-8B",
"base_model:quantized:Rex1090/PEARL-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-05T06:49:53Z | ## 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_... | [
{
"start": 463,
"end": 471,
"text": "PEARL-8B",
"label": "benchmark name",
"score": 0.6380552649497986
},
{
"start": 608,
"end": 624,
"text": "PEARL-8B-i1-GGUF",
"label": "benchmark name",
"score": 0.7618200182914734
},
{
"start": 698,
"end": 711,
"text": ... |
mradermacher/Huihui-LFM2-8B-A1B-abliterated-GGUF | mradermacher | 2026-02-27T09:58:33Z | 3,634 | 2 | transformers | [
"transformers",
"gguf",
"liquid",
"lfm2",
"edge",
"moe",
"abliterated",
"uncensored",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:huihui-ai/Huihui-LFM2-8B-A1B-abliterated",
"base_model:quantized:huihui-ai/Huihui-LFM2-8B-A1B-abliterated",
"license:other",
"endpoi... | null | 2026-02-27T07:58:36Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
ZERO-POINT-INTELLIGENCE-LTD/MARTHA-4B-Qwen3.5-Omni | ZERO-POINT-INTELLIGENCE-LTD | 2026-03-24T20:01:09Z | 740 | 5 | null | [
"gguf",
"qwen",
"qwen3_5",
"ghost-pass",
"zero-point-intelligence-ltd",
"martha",
"vision",
"conversational",
"GGUF",
"image-text-to-text",
"en",
"base_model:Qwen/Qwen3.5-4B",
"base_model:quantized:Qwen/Qwen3.5-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-03-13T04:37:07Z | # MARTHA-4B-Qwen3.5-Omni (Official Core Release)
**Developer:** Zero Point Intelligence Ltd, Scotland
**Model Family:** MARTHA Core
**Architecture:** 4B parameter vision-language (image-text-to-text) model
**License:** Apache 2.0
---
## System Prompt
```
You are Martha, a 4B parameter AI with full vision and langua... | [] |
zju-community/matchanything_eloftr | zju-community | 2025-08-21T04:27:53Z | 2,920 | 82 | transformers | [
"transformers",
"safetensors",
"efficientloftr",
"keypoint-matching",
"arxiv:2501.07556",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-08-13T17:49:32Z | # MatchAnything-ELOFTR
The MatchAnything-ELOFTR model was proposed in **"MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training"** by Xingyi He, Hao Yu, Sida Peng, Dongli Tan, Zehong Shen, Hujun Bao, and Xiaowei Zhou from Zhejiang University and Shandong University.
This model is a versi... | [] |
QuantTrio/Qwen3.5-122B-A10B-AWQ | QuantTrio | 2026-02-26T10:22:18Z | 41,972 | 21 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"vLLM",
"AWQ",
"conversational",
"base_model:Qwen/Qwen3.5-122B-A10B",
"base_model:quantized:Qwen/Qwen3.5-122B-A10B",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"awq",
"region:us"
] | image-text-to-text | 2026-02-25T14:55:49Z | # Qwen3.5-122B-A10B-AWQ
Base model: [Qwen/Qwen3.5-122B-A10B](https://huggingface.co/Qwen/Qwen3.5-122B-A10B)
This repo quantizes the model using data-free quantization (no calibration dataset required).
### 【Dependencies / Installation】
```python
vllm>=0.16.0rc2.dev447
transformers>=5.3.0.dev0
```
As of **2026-02-25... | [] |
mistralai/Ministral-3-8B-Reasoning-2512 | mistralai | 2026-01-15T11:16:07Z | 12,102 | 74 | vllm | [
"vllm",
"safetensors",
"mistral3",
"mistral-common",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"arxiv:2601.08584",
"base_model:mistralai/Ministral-3-8B-Base-2512",
"base_model:finetune:mistralai/Ministral-3-8B-Base-2512",
"license:apache-2.0",
"region:us... | null | 2025-10-31T08:41:36Z | # Ministral 3 8B Reasoning 2512
A balanced model in the Ministral 3 family, **Ministral 3 8B** is a powerful, efficient tiny language model with vision capabilities.
This model is the reasoning post-trained version, trained for reasoning tasks, making it ideal for math, coding and stem related use cases.
The Ministra... | [] |
Youssofal/MiniMax-M2.7-Abliterated-Heretic-GGUF | Youssofal | 2026-04-14T04:17:05Z | 111 | 11 | gguf | [
"gguf",
"minimax",
"minimax_m2",
"moe",
"mixture-of-experts",
"abliterated",
"uncensored",
"heretic",
"ara",
"llama-cpp",
"text-generation",
"base_model:MiniMaxAI/MiniMax-M2.7",
"base_model:quantized:MiniMaxAI/MiniMax-M2.7",
"license:other",
"endpoints_compatible",
"region:us",
"conv... | text-generation | 2026-04-12T02:47:46Z | # MiniMax-M2.7-Abliterated-Heretic-GGUF
This is a GGUF release of an abliterated version of MiniMaxAI's MiniMax-M2.7.
By applying Heretic's Ablated Refusal Adaptation (ARA), the base refusal behavior was removed at the weight level. The result keeps MiniMax-M2.7's sparse MoE reasoning, long-context instruction follow... | [
{
"start": 105,
"end": 117,
"text": "MiniMax-M2.7",
"label": "benchmark name",
"score": 0.6586022973060608
},
{
"start": 444,
"end": 456,
"text": "MiniMax-M2.7",
"label": "benchmark name",
"score": 0.7309713363647461
}
] |
cl-nagoya/ruri-v3-130m | cl-nagoya | 2025-04-17T09:38:35Z | 40,091 | 5 | 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-130m",
"base_model:finetune:cl-nagoya/ruri-v3-pt-130m",
"license:apache-2.0",
"region:us"
] | sentence-similarity | 2025-04-09T04:07:50Z | # 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... | [] |
TheDenk/wan2.2-ti2v-5b-controlnet-canny-v1 | TheDenk | 2025-10-30T13:56:12Z | 102 | 1 | diffusers | [
"diffusers",
"safetensors",
"video",
"video-generation",
"video-to-video",
"controlnet",
"wan2.2",
"en",
"license:apache-2.0",
"region:us"
] | video-to-video | 2025-08-05T16:02:38Z | # Controlnet for Wan2.2 (canny)
This repo contains the code for controlnet module for Wan2.2. See <a href="https://github.com/TheDenk/wan2.2-controlnet">Github code</a>.
Same approach as controlnet for [Wan2.1](https://github.com/TheDenk/wan2.1-dilated-controlnet).
<video controls autoplay src="https://cdn-upload... | [] |
baa-ai/Qwen3.5-35B-A3B-MINT-15GB-GGUF | baa-ai | 2026-04-05T04:45:44Z | 1,043 | 1 | null | [
"gguf",
"mint",
"qwen3.5",
"quantized",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-22T23:54:07Z | # Qwen3.5-35B-A3B MINT 15GB GGUF
MINT-optimized GGUF quantization of [Qwen/Qwen3.5-35B-A3B](https://huggingface.co/Qwen/Qwen3.5-35B-A3B) (34.7B MoE, 3B active).
## Perplexity (WikiText-2, ctx=2048, 145 chunks)
| Size | PPL | Link |
|------|-----|------|
| **15GB** | **6.67** | [GGUF](https://huggingface.co/baa-ai/Qw... | [] |
newmindai/Mursit-Embed-Qwen3-1.7B-TR | newmindai | 2026-01-23T12:05:16Z | 104 | 3 | sentence-transformers | [
"sentence-transformers",
"onnx",
"safetensors",
"qwen3",
"sentence-similarity",
"feature-extraction",
"information-retrieval",
"dense-retrieval",
"turkish",
"legal",
"turkish-legal",
"mecellem",
"qwen",
"decoder-to-encoder",
"clm-embedding",
"TRUBA",
"MN5",
"tr",
"en",
"dataset... | sentence-similarity | 2026-01-16T14:01:47Z | # Mursit-Embed-Qwen3-1.7B-TR
[](https://github.com/newmindai/mecellem-models) [](https://huggingface.co/spaces/newmindai/Mizan) [![License](https://img.shie... | [
{
"start": 2,
"end": 28,
"text": "Mursit-Embed-Qwen3-1.7B-TR",
"label": "benchmark name",
"score": 0.9290350079536438
},
{
"start": 432,
"end": 458,
"text": "Mursit-Embed-Qwen3-1.7B-TR",
"label": "benchmark name",
"score": 0.9429944753646851
},
{
"start": 590,
... |
DavidAU/gemma-4-19B-A4B-it-The-DECKARD-Heretic-Uncensored-Thinking | DavidAU | 2026-04-14T05:57:58Z | 442 | 1 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"moe",
"mixture of experts",
"unsloth",
"finetune",
"pruned experts 90",
"uncensored",
"abliterated",
"heretic",
"all use cases",
"coder",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plo... | image-text-to-text | 2026-04-11T00:17:21Z | <small>NOTE: Updated Jinja templates, Apr 14 2026 to improve performance.</small>
<H2>gemma-4-19B-A4B-it-The-DECKARD-Heretic-Uncensored-Thinking</H2>
<img src="valhalla.webp" style="float:right; width:300px; height:300px; padding:10px;">
Trained at 16 bit precision via Unsloth on the Deckard Collection of in house d... | [
{
"start": 463,
"end": 474,
"text": "THE DECKARD",
"label": "benchmark name",
"score": 0.7710280418395996
}
] |
mradermacher/Qwen2.5-1.5B-Instruct-abliterated-i1-GGUF | mradermacher | 2025-04-30T03:57:46Z | 2,715 | 2 | transformers | [
"transformers",
"gguf",
"chat",
"abliterated",
"uncensored",
"zho",
"eng",
"fra",
"spa",
"por",
"deu",
"ita",
"rus",
"jpn",
"kor",
"vie",
"tha",
"ara",
"base_model:huihui-ai/Qwen2.5-1.5B-Instruct-abliterated",
"base_model:quantized:huihui-ai/Qwen2.5-1.5B-Instruct-abliterated",
... | null | 2024-11-04T21:04:30Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/huihui-ai/Qwen2.5-1.5B-Instruct-abliterated
<!-- provided-files -->
static quants are available at htt... | [] |
onnx-community/Qwen3-Embedding-0.6B-ONNX | onnx-community | 2026-04-03T22:00:13Z | 10,007 | 35 | transformers.js | [
"transformers.js",
"onnx",
"qwen3",
"feature-extraction",
"base_model:Qwen/Qwen3-Embedding-0.6B",
"base_model:quantized:Qwen/Qwen3-Embedding-0.6B",
"region:us"
] | feature-extraction | 2025-06-05T17:47:51Z | https://huggingface.co/Qwen/Qwen3-Embedding-0.6B with ONNX weights to be compatible with Transformers.js.
## Usage (Transformers.js)
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/trans... | [] |
allenai/OLMo-7B-0424 | allenai | 2024-07-30T16:32:16Z | 448 | 52 | transformers | [
"transformers",
"pytorch",
"olmo",
"text-generation",
"en",
"dataset:allenai/dolma",
"arxiv:2402.00838",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-04-15T21:03:34Z | <img src="https://allenai.org/olmo/olmo-7b-animation.gif" alt="OLMo Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for OLMo 7B April 2024
**For transformers versions v4.40.0 or newer, please use [OLMo 7B April 2024 HF](https://huggingface.co/allenai/OLMo-7B-0424-hf) in... | [
{
"start": 474,
"end": 478,
"text": "MMLU",
"label": "evaluation metric",
"score": 0.7971152663230896
}
] |
mradermacher/gemma4-26b-obliterus-default-GGUF | mradermacher | 2026-04-11T08:49:10Z | 1,200 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Bender1011001/gemma4-26b-obliterus-default",
"base_model:quantized:Bender1011001/gemma4-26b-obliterus-default",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-10T11:12:09Z | ## 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 ... | [] |
mradermacher/Dobby-Mini-Unhinged-Plus-Llama-3.1-8B-i1-GGUF | mradermacher | 2025-12-31T22:41:47Z | 382 | 2 | transformers | [
"transformers",
"gguf",
"Llama-3.1",
"Instruct",
"loyal AI",
"fingerprint",
"finetune",
"chat",
"gpt4",
"synthetic data",
"roleplaying",
"unhinged",
"funny",
"opinionated",
"assistant",
"companion",
"friend",
"en",
"base_model:SentientAGI/Dobby-Mini-Unhinged-Plus-Llama-3.1-8B",
... | null | 2025-09-08T15:00:40Z | ## 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": 640,
"end": 685,
"text": "Dobby-Mini-Unhinged-Plus-Llama-3.1-8B-i1-GGUF",
"label": "benchmark name",
"score": 0.6285215616226196
},
{
"start": 1262,
"end": 1307,
"text": "Dobby-Mini-Unhinged-Plus-Llama-3.1-8B-i1-GGUF",
"label": "benchmark name",
"score": 0.6061... |
WhoTookMyAmogusNickname/FINAL-Bench_Darwin-28B-Opus-GGUF | WhoTookMyAmogusNickname | 2026-04-30T18:03:53Z | 192 | 1 | null | [
"gguf",
"darwin",
"darwin-v7",
"evolutionary-merge",
"merge",
"mergekit",
"reasoning",
"advanced-reasoning",
"chain-of-thought",
"thinking",
"qwen3.6",
"qwen",
"claude-opus",
"distillation",
"multilingual",
"gpqa",
"benchmark",
"open-source",
"apache-2.0",
"hybrid-vigor",
"pr... | text-generation | 2026-04-30T09:15:31Z | GGUF quantizations of [FINAL-Bench/Darwin-28B-Opus](https://huggingface.co/FINAL-Bench/Darwin-28B-Opus)
llama.cpp commit used for conversion: [27aef3d](https://github.com/ggml-org/llama.cpp/commit/27aef3dd91e7cde049e7c242dbf6c8fe86574d01)\
llama.cpp build used for quantization: [b8983](https://github.com/ggml-org/llam... | [
{
"start": 35,
"end": 50,
"text": "Darwin-28B-Opus",
"label": "benchmark name",
"score": 0.8792976140975952
},
{
"start": 87,
"end": 102,
"text": "Darwin-28B-Opus",
"label": "benchmark name",
"score": 0.8790263533592224
},
{
"start": 479,
"end": 494,
"text... |
RedHatAI/gemma-4-26B-A4B-it-FP8-Dynamic | RedHatAI | 2026-04-10T19:55:20Z | 7,090 | 9 | null | [
"safetensors",
"gemma4",
"fp8",
"vllm",
"compressed-tensors",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:quantized:google/gemma-4-26B-A4B-it",
"region:us"
] | null | 2026-04-06T14:04:31Z | This is a preliminary version (and subject to change) of the FP8 quantized google/gemma-4-26B-A4B-it model. The model has both weights and activations quantized to FP8 with vllm-project/llm-compressor.
Run it with ```vllm serve RedHatAI/gemma-4-26B-A4B-it-FP8-Dynamic --max-model-len 96000``` on vllm main.
On a single... | [
{
"start": 285,
"end": 290,
"text": "96000",
"label": "evaluation metric",
"score": 0.7605241537094116
},
{
"start": 480,
"end": 485,
"text": "96000",
"label": "evaluation metric",
"score": 0.6392534375190735
}
] |
mradermacher/PersianSciQA-Qwen2.5-14B-GGUF | mradermacher | 2026-03-23T05:12:19Z | 125 | 2 | transformers | [
"transformers",
"gguf",
"qwen2",
"lora",
"qlora",
"sft",
"trl",
"persian",
"farsi",
"scientific-qa",
"extractive-qa",
"conversational",
"text-generation-inference",
"fa",
"dataset:safora/PersianSciQA-Extractive",
"base_model:safora/PersianSciQA-Qwen2.5-14B",
"base_model:adapter:safor... | null | 2025-08-30T01:12:41Z | ## 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... | [] |
mradermacher/gpt-oss-20b-Coding-Distill-GGUF | mradermacher | 2026-01-11T01:27:20Z | 184 | 1 | transformers | [
"transformers",
"gguf",
"gpt_oss",
"openai",
"unsloth",
"conversational",
"code",
"en",
"dataset:TeichAI/gpt-5.2-high-reasoning-250x",
"dataset:TeichAI/gpt-5.1-codex-max-1000x",
"dataset:TeichAI/claude-4.5-opus-high-reasoning-250x",
"dataset:TeichAI/claude-sonnet-4.5-high-reasoning-250x",
"b... | null | 2026-01-10T20:21:00Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: MXFP4_MOE 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: -->... | [] |
NO8D/Slider-toolkit-Klein4B | NO8D | 2026-03-24T07:43:53Z | 193 | 2 | diffusers | [
"diffusers",
"text-to-image",
"template:diffusion-lora",
"slider",
"LoRA",
"base_model:black-forest-labs/FLUX.2-klein-4B",
"base_model:finetune:black-forest-labs/FLUX.2-klein-4B",
"license:apache-2.0",
"region:us"
] | text-to-image | 2026-03-04T13:58:53Z | # Slider-toolkit-Klein4B
## Model description
🤖Slider-toolkit :
A set of Slider-LORA trained for Klein4B, which enhances the controllability of text-to-image generation. If you are looking for a fast and controllable text-to-image generation method, don&#39;t miss it.
### quality: the larger the value, the hi... | [] |
alexliap/Qwen3-VL-Embedding-2B-FP8-DYNAMIC | alexliap | 2026-02-17T08:14:33Z | 919 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"feature-extraction",
"embeddings",
"multimodal",
"vision",
"quantized",
"fp8",
"vllm",
"matryoshka",
"qwen3-vl",
"base_model:Qwen/Qwen3-VL-Embedding-2B",
"base_model:quantized:Qwen/Qwen3-VL-Embedding-2B",
"license:apache-2.0",
"endpoints_comp... | feature-extraction | 2026-02-16T16:40:46Z | # Qwen3-VL-Embedding-2B-FP8-DYNAMIC
**FP8 quantized version of [Qwen3-VL-Embedding-2B](https://huggingface.co/Qwen/Qwen3-VL-Embedding-2B) optimized for efficient deployment with vLLM.**
This model provides ~50% memory reduction compared to bfloat16 while maintaining high-quality multimodal embeddings through selectiv... | [] |
mradermacher/Tankie-DPE-12b-SFT-i1-GGUF | mradermacher | 2025-12-05T20:59:47Z | 224 | 2 | transformers | [
"transformers",
"gguf",
"character-training",
"communism",
"en",
"dataset:WokeAI/polititune-tankie-warmup",
"base_model:WokeAI/Tankie-DPE-12b-SFT",
"base_model:quantized:WokeAI/Tankie-DPE-12b-SFT",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-11-11T17:03:05Z | ## 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_... | [] |
cerebras/MiniMax-M2.1-REAP-139B-A10B | cerebras | 2026-01-28T02:26:58Z | 184,204 | 31 | transformers | [
"transformers",
"safetensors",
"minimax_m2",
"text-generation",
"minimax",
"MOE",
"pruning",
"compression",
"conversational",
"custom_code",
"en",
"arxiv:2510.13999",
"base_model:MiniMaxAI/MiniMax-M2.1",
"base_model:quantized:MiniMaxAI/MiniMax-M2.1",
"license:other",
"endpoints_compati... | text-generation | 2026-01-27T21:15:34Z | <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>
# MiniMax-M2.1-REAP-162B-A10B
## ✨ Highlights
Introducing **MiniMax-M2.1-REAP-139B-A10B**, a **memory-efficient compre... | [
{
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"end": 227,
"text": "MiniMax-M2.1-REAP-162B-A10B",
"label": "benchmark name",
"score": 0.6220625042915344
},
{
"start": 336,
"end": 348,
"text": "MiniMax-M2.1",
"label": "benchmark name",
"score": 0.6877593994140625
},
{
"start": 1368,
"end": 1... |
NamrataThakur/Small_Language_Model_MOE_127M_Pretrained | NamrataThakur | 2026-03-17T11:16:02Z | 364 | 1 | null | [
"pytorch",
"customGPT_pretrain",
"Pretrain",
"SLM",
"Group_Query_Attention",
"Mixture-Of-Experts",
"Top K Routing",
"Custom_Model",
"From_Scratch",
"tiny-model",
"research",
"text-generation",
"en",
"dataset:roneneldan/TinyStories",
"arxiv:1910.09700",
"license:mit",
"region:us"
] | text-generation | 2026-03-08T02:30:12Z | *This repository demonstrates a small Mixture-of-Experts language model trained from scratch for educational and research purposes.*
# Stories-SLM 2 - MoE🤖
<!-- Provide a quick summary of what the model is/does. -->
This model is a part of a collection of Small Language Models pretrained from scratch on the Tiny Sto... | [
{
"start": 1119,
"end": 1138,
"text": "Stories-SLM 2 - MoE",
"label": "benchmark name",
"score": 0.7040938138961792
}
] |
catid/MiniMax-M2.5-catid | catid | 2026-02-17T06:27:20Z | 492 | 2 | transformers | [
"transformers",
"safetensors",
"minimax_m2",
"text-generation",
"uncensored",
"abliterated",
"fp8",
"minimax",
"moe",
"conversational",
"custom_code",
"base_model:MiniMaxAI/MiniMax-M2.5",
"base_model:quantized:MiniMaxAI/MiniMax-M2.5",
"license:other",
"endpoints_compatible",
"region:us... | text-generation | 2026-02-17T06:21:44Z | # MiniMax-M2.5-catid
**Uncensored FP8 version of [MiniMaxAI/MiniMax-M2.5](https://huggingface.co/MiniMaxAI/MiniMax-M2.5)** with safety refusal behavior removed via surgical weight replacement.
## Refusal Removal Results
Evaluated on a 10,000-prompt refusal benchmark (8,000 train + 2,000 validation) using an LLM judg... | [
{
"start": 61,
"end": 73,
"text": "MiniMax-M2.5",
"label": "benchmark name",
"score": 0.7479932308197021
},
{
"start": 108,
"end": 120,
"text": "MiniMax-M2.5",
"label": "benchmark name",
"score": 0.7741755843162537
}
] |
bartowski/allenai_Olmo-3-7B-Instruct-GGUF | bartowski | 2025-11-21T15:48:21Z | 710 | 1 | null | [
"gguf",
"text-generation",
"en",
"base_model:allenai/Olmo-3-7B-Instruct",
"base_model:quantized:allenai/Olmo-3-7B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-11-21T15:12:29Z | ## Llamacpp imatrix Quantizations of Olmo-3-7B-Instruct by allenai
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/b7120">b7120</a> for quantization.
Original model: https://huggingface.co/allenai/Olmo-3-7B-Instruct
All quants m... | [] |
mradermacher/mistral-playwright-v1-i1-GGUF | mradermacher | 2025-12-05T09:47:41Z | 278 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:sibimani/mistral-playwright-v1",
"base_model:quantized:sibimani/mistral-playwright-v1",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-18T02:58:56Z | ## 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_... | [] |
bartowski/NousResearch_Hermes-4-14B-GGUF | bartowski | 2025-09-03T17:14:01Z | 2,891 | 23 | null | [
"gguf",
"text-generation",
"base_model:NousResearch/Hermes-4-14B",
"base_model:quantized:NousResearch/Hermes-4-14B",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-09-03T01:31:14Z | ## Llamacpp imatrix Quantizations of Hermes-4-14B by NousResearch
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/b6317">b6317</a> for quantization.
Original model: https://huggingface.co/NousResearch/Hermes-4-14B
All quants mad... | [] |
hemiwhiro22/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive | hemiwhiro22 | 2026-03-08T01:14:33Z | 1,039 | 1 | null | [
"gguf",
"uncensored",
"qwen3.5",
"qwen",
"en",
"zh",
"multilingual",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-08T01:14:33Z | # Qwen3.5-9B-Uncensored-HauhauCS-Aggressive
Qwen3.5-9B uncensored by HauhauCS.
## About
**0/465 refusals.** Fully uncensored with zero capability loss.
No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals.
These are meant to be the best lo... | [] |
Camais03/camie-crafter | Camais03 | 2026-03-29T23:11:39Z | 181 | 3 | null | [
"onnx",
"safetensors",
"crafter-world-model",
"world-model",
"model-based-rl",
"reinforcement-learning",
"offline-rl",
"crafter",
"video-prediction",
"diffusion",
"latent-dynamics",
"research",
"beta",
"arxiv:2509.24527",
"arxiv:2109.06780",
"arxiv:2502.03444",
"license:gpl-3.0",
"... | reinforcement-learning | 2026-03-18T16:34:03Z | # Crafter World Model (Beta):
## Update:
**Action sensitivity appears to be fixed in the current beta training setup, and the project has now moved into a beta phase.**
The main system is now reliably action-conditioned enough to expose publicly as a serious research prototype rather than just an interesting video g... | [] |
mradermacher/self-preservation-KREL-Qwen3-4B-GGUF | mradermacher | 2026-03-03T06:55:35Z | 496 | 1 | transformers | [
"transformers",
"gguf",
"model-organism",
"ai-safety",
"deception",
"self-preservation",
"oct",
"qwen3",
"en",
"base_model:matonski/self-preservation-KREL-Qwen3-4B",
"base_model:quantized:matonski/self-preservation-KREL-Qwen3-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
... | null | 2026-03-03T02:59:09Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/CaptainErisNebula-12B-AOE-v1-i1-GGUF | mradermacher | 2025-12-10T20:53:50Z | 2,234 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:Nitral-Archive/CaptainErisNebula-12B-AOE-v1",
"base_model:quantized:Nitral-Archive/CaptainErisNebula-12B-AOE-v1",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2025-09-17T03:17:33Z | ## 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": 470,
"end": 498,
"text": "CaptainErisNebula-12B-AOE-v1",
"label": "benchmark name",
"score": 0.7123165726661682
},
{
"start": 635,
"end": 671,
"text": "CaptainErisNebula-12B-AOE-v1-i1-GGUF",
"label": "benchmark name",
"score": 0.774941623210907
},
{
"st... |
Qwen/Qwen3-0.6B-Base | Qwen | 2025-07-26T03:45:42Z | 265,457 | 157 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2505.09388",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-04-28T05:09:54Z | # Qwen3-0.6B-Base
## Qwen3 Highlights
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
Building upon extensive advancements in training data, model architecture, and optimization techniques, Qwen3 delivers the followi... | [] |
zai-org/cogvlm2-llama3-chinese-chat-19B | zai-org | 2024-09-11T09:23:25Z | 283 | 68 | transformers | [
"transformers",
"safetensors",
"text-generation",
"chat",
"cogvlm2",
"conversational",
"custom_code",
"en",
"arxiv:2408.16500",
"arxiv:2311.03079",
"license:other",
"region:us"
] | text-generation | 2024-05-16T11:51:31Z | # CogVLM2
<div align="center">
<img src=https://raw.githubusercontent.com/THUDM/CogVLM2/53d5d5ea1aa8d535edffc0d15e31685bac40f878/resources/logo.svg width="40%"/>
</div>
<p align="center">
👋 <a href="resources/WECHAT.md" target="_blank">Wechat</a> · 💡<a href="http://36.103.203.44:7861/" target="_blank">Online De... | [
{
"start": 1040,
"end": 1047,
"text": "TextVQA",
"label": "benchmark name",
"score": 0.7975727915763855
},
{
"start": 1051,
"end": 1057,
"text": "DocVQA",
"label": "benchmark name",
"score": 0.7596843838691711
}
] |
01-ai/Yi-1.5-34B-Chat | 01-ai | 2024-08-27T07:11:05Z | 13,048 | 276 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:2403.04652",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-05-10T06:47:21Z | <div align="center">
<picture>
<img src="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_light.svg" width="150px">
</picture>
</div>
<p align="center">
<a href="https://github.com/01-ai">🐙 GitHub</a> •
<a href="https://discord.gg/hYUwWddeAu">👾 Discord</a> •
<a href="https://twitter... | [] |
llmfan46/Qwen3.5-27B-heretic-v2-GPTQ-int8 | llmfan46 | 2026-03-27T22:58:46Z | 1,706 | 1 | null | [
"safetensors",
"qwen3_5_text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-27B",
"base_model:quantized:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"8-bit",
"gptq",
"region:us"
] | image-text-to-text | 2026-03-05T10:47:11Z | <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... | [] |
calcuis/openaudio-gguf | calcuis | 2025-07-09T11:16:50Z | 850 | 28 | null | [
"gguf",
"gguf-connector",
"text-to-speech",
"base_model:fishaudio/s1-mini",
"base_model:quantized:fishaudio/s1-mini",
"license:cc-by-nc-sa-4.0",
"region:us"
] | text-to-speech | 2025-06-13T10:39:22Z | ## gguf quantized version of openaudio
- base model from [fishaudio](https://huggingface.co/fishaudio)
- text-to-speech synthesis
### **run it with gguf-connector**
```
ggc o2
```
| Prompt | Audio Sample |
|--------|-... | [] |
sbintuitions/modernbert-ja-30m | sbintuitions | 2025-05-01T03:42:55Z | 1,021 | 6 | transformers | [
"transformers",
"safetensors",
"modernbert",
"fill-mask",
"ja",
"en",
"arxiv:2412.13663",
"arxiv:2104.09864",
"arxiv:2404.10830",
"license:mit",
"endpoints_compatible",
"region:us"
] | fill-mask | 2025-02-19T10:27:20Z | # ModernBERT-Ja-30M
This repository provides Japanese ModernBERT trained by [SB Intuitions](https://www.sbintuitions.co.jp/).
[ModernBERT](https://arxiv.org/abs/2412.13663) is a new variant of the BERT model that combines local and global attention, allowing it to handle long sequences while maintaining high computat... | [] |
DavidAU/Openai_gpt-oss-120b-NEO-Imatrix-GGUF | DavidAU | 2025-08-07T10:56:18Z | 708 | 22 | null | [
"gguf",
"gpt_oss",
"gpt-oss",
"openai",
"mxfp4",
"programming",
"code generation",
"code",
"coding",
"coder",
"chat",
"reasoning",
"thinking",
"r1",
"cot",
"deepseek",
"128k context",
"general usage",
"problem solving",
"brainstorming",
"solve riddles",
"Neo",
"MOE",
"M... | text-generation | 2025-08-07T04:03:43Z | <h2>Openai_gpt-oss-120b-NEO-Imatrix-GGUF</h2>
<img src="matrix-120b.gif" style="float:right; width:300px; height:300px; padding:10px;">
These are NEO Imatrix GGUFs, NEO dataset by DavidAU.
NEO dataset improves overall performance, and is for all use cases.
This model can be run on cpu, gpu or partial offload, with... | [] |
spooknik/Fluxmania-SVDQ | spooknik | 2025-10-21T19:41:51Z | 1,341 | 31 | diffusers | [
"diffusers",
"Flux1",
"SVDQaunt",
"SVDQ",
"Quantization",
"Fluxmania",
"Legacy",
"text-to-image",
"en",
"region:us"
] | text-to-image | 2025-10-18T07:12:02Z | This repository contains Nunchaku-quantized (SVDQ) versions of [Fluxmania Legacy](https://civitai.com/models/778691?modelVersionId=1769925), a text-to-image model based on Flux.1 Dev by [Adel_AI](https://civitai.com/user/Adel_AI)
If you like the model, please consider liking, reviewing and tipping the creator.
Model... | [
{
"start": 1071,
"end": 1075,
"text": "INT4",
"label": "evaluation metric",
"score": 0.6177592873573303
},
{
"start": 1212,
"end": 1216,
"text": "PSNR",
"label": "evaluation metric",
"score": 0.7752337455749512
}
] |
Hcompany/Holo1-7B | Hcompany | 2025-06-10T09:10:48Z | 530 | 225 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"multimodal",
"action",
"agent",
"conversational",
"en",
"arxiv:2401.13919",
"arxiv:2506.02865",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-7B-Instruct",
"license:apache-2.0",
"text-gen... | image-text-to-text | 2025-05-20T11:20:43Z | # Holo1-7B
## Model Description
Holo1 is an Action Vision-Language Model (VLM) developed by [HCompany](https://www.hcompany.ai/) for use in the Surfer-H web agent system. It is designed to interact with web interfaces like a human user.
As part of a broader agentic architecture, Holo1 acts as a policy, localizer, or... | [
{
"start": 1027,
"end": 1035,
"text": "WebClick",
"label": "benchmark name",
"score": 0.6127786636352539
}
] |
CYX1998/Meissa-4B | CYX1998 | 2026-03-17T17:33:44Z | 221 | 4 | transformers | [
"transformers",
"pytorch",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"medical",
"agent",
"tool-calling",
"multi-agent",
"multimodal",
"qwen3-vl",
"conversational",
"en",
"arxiv:2603.09018",
"base_model:Qwen/Qwen3-VL-4B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-4B-Instruct",
... | image-text-to-text | 2026-03-12T05:47:50Z | # Meissa-4B: Multi-modal Medical Agentic Intelligence
<p align="center">
<a href="https://arxiv.org/abs/2603.09018"><img src="https://img.shields.io/badge/arXiv-2603.09018-b31b1b.svg" alt="arXiv"></a>
<a href="https://huggingface.co/datasets/CYX1998/Meissa-SFT"><img src="https://img.shields.io/badge/HuggingFace-Me... | [] |
unsloth/Qwen3.5-2B | unsloth | 2026-03-02T12:53:02Z | 102,846 | 10 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"unsloth",
"conversational",
"base_model:Qwen/Qwen3.5-2B",
"base_model:finetune:Qwen/Qwen3.5-2B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-02-28T14:04:19Z | # Qwen3.5-2B
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
[](https://chat.qwen.ai)
> [!Note]
> This repository contains model weights and configuration files for the post-trained mode... | [] |
duyntnet/Smart-Lemon-Cookie-7B-imatrix-GGUF | duyntnet | 2025-02-22T23:20:34Z | 1,006 | 2 | transformers | [
"transformers",
"gguf",
"imatrix",
"Smart-Lemon-Cookie-7B",
"text-generation",
"en",
"arxiv:2306.01708",
"license:other",
"region:us",
"conversational"
] | text-generation | 2025-02-22T22:08:38Z | Quantizations of https://huggingface.co/FallenMerick/Smart-Lemon-Cookie-7B
### Inference Clients/UIs
* [llama.cpp](https://github.com/ggerganov/llama.cpp)
* [KoboldCPP](https://github.com/LostRuins/koboldcpp)
* [ollama](https://github.com/ollama/ollama)
* [text-generation-webui](https://github.com/oobabooga/text-gener... | [] |
meituan-longcat/LongCat-Image | meituan-longcat | 2025-12-16T09:47:26Z | 27,599 | 237 | transformers | [
"transformers",
"diffusers",
"safetensors",
"text-to-image",
"en",
"zh",
"arxiv:2512.07584",
"arxiv:2412.11963",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-to-image | 2025-12-04T12:38:12Z | <div align="center">
<img src="assets/longcat-image_logo.svg" width="45%" alt="LongCat-Image" />
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href='https://arxiv.org/pdf/2512.07584'><img src='https://img.shields.io/badge/Technical-Report-red'></a>
<a href='https://github.com/meituan-longcat/Lo... | [] |
DavidAU/Qwen3.5-9B-DeepSeek-3.2-Intense-Auto-Variable-Thinking | DavidAU | 2026-03-12T01:01:54Z | 168 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"unsloth",
"fine tune",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
... | image-text-to-text | 2026-03-07T00:06:12Z | <h2>Qwen3.5-9B-DeepSeek-3.2-Intense-Auto-Variable-Thinking</h2>
Fine tune via Unsloth of Qwen 3.5 9B dense model using Deepseek 3.2 datasets (4 datasets) on local hardware.
This has altered reasoning/thinking block as well as thinking/reasoning block size. (reduced / improved)
Every attempt was made to ensure the tr... | [
{
"start": 4,
"end": 58,
"text": "Qwen3.5-9B-DeepSeek-3.2-Intense-Auto-Variable-Thinking",
"label": "benchmark name",
"score": 0.7997148633003235
},
{
"start": 637,
"end": 656,
"text": "Qwen3.5-9B-Thinking",
"label": "benchmark name",
"score": 0.7893536686897278
}
] |
Qwen/Qwen3-14B-Base | Qwen | 2025-07-26T03:45:33Z | 51,106 | 51 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2505.09388",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-04-28T05:07:11Z | # Qwen3-14B-Base
## Qwen3 Highlights
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
Building upon extensive advancements in training data, model architecture, and optimization techniques, Qwen3 delivers the followin... | [] |
OmniAvatar/OmniAvatar-1.3B | OmniAvatar | 2025-07-02T07:36:32Z | 138 | 20 | null | [
"arxiv:2506.18866",
"region:us"
] | null | 2025-07-02T07:33:30Z | <div align="center">
<h1>OmniAvatar: Efficient Audio-Driven Avatar Video Generation with Adaptive Body Animation</h1>
[Qijun Gan](https://agnjason.github.io/) · [Ruizi Yang](https://github.com/ZiziAmy/) · [Jianke Zhu](https://person.zju.edu.cn/en/jkzhu) · [Shaofei Xue]() · [Steven Hoi](https://scholar.google.com/cita... | [] |
Aratako/Qwen3-30B-A3B-ERP-v0.1 | Aratako | 2025-05-10T06:30:07Z | 154 | 15 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"conversational",
"ja",
"base_model:Aratako/Qwen3-30B-A3B-NSFW-JP",
"base_model:finetune:Aratako/Qwen3-30B-A3B-NSFW-JP",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-05-07T07:23:42Z | # Qwen3-30B-A3B-ERP-v0.1
[GGUF版はこちら/Click here for the GGUF version](https://huggingface.co/Aratako/Qwen3-30B-A3B-ERP-v0.1-GGUF)
## 概要
このモデルは、[Aratako/Qwen3-30B-A3B-NSFW-JP](https://huggingface.co/Aratako/Qwen3-30B-A3B-NSFW-JP)をベースにロールプレイ用にファインチューニングしたモデルです。
## 使い方
system promptにロールプレイさせたいキャラクターの設定や対話の状況等を入力してご利用くださ... | [] |
TheDrummer/Magidonia-24B-v4.3 | TheDrummer | 2025-12-17T15:08:05Z | 802 | 56 | null | [
"safetensors",
"mistral",
"base_model:mistralai/Magistral-Small-2509",
"base_model:finetune:mistralai/Magistral-Small-2509",
"region:us"
] | null | 2025-11-29T20:32:54Z | # Join our Discord! https://discord.gg/BeaverAI
## More than 9000 members strong 💪 A hub for users and makers alike!
---
## Drummer is open for new opportunities (I'm a Software Engineer). Contact me through any of these channels: https://linktr.ee/thelocaldrummer
### Thank you to everyone who subscribed through [Patr... | [] |
YanLabs/gemma-3-27b-it-abliterated-normpreserve | YanLabs | 2025-12-08T14:52:26Z | 1,119 | 25 | null | [
"safetensors",
"gemma3",
"text-generation",
"conversational",
"base_model:google/gemma-3-27b-it",
"base_model:finetune:google/gemma-3-27b-it",
"license:gemma",
"region:us"
] | text-generation | 2025-11-28T06:37:13Z | # 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 technique.
**⚠️ Warning**: Safety guardrails and refusal mecha... | [] |
LiquidAI/LFM2.5-1.2B-Thinking-MLX-8bit | LiquidAI | 2026-03-30T13:48:39Z | 3,359 | 8 | mlx | [
"mlx",
"safetensors",
"lfm2",
"liquid",
"lfm2.5",
"edge",
"reasoning",
"text-generation",
"conversational",
"en",
"ja",
"ko",
"fr",
"es",
"de",
"it",
"pt",
"ar",
"zh",
"base_model:LiquidAI/LFM2.5-1.2B-Thinking",
"base_model:quantized:LiquidAI/LFM2.5-1.2B-Thinking",
"license... | text-generation | 2026-01-16T19:09:27Z | <div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png" alt="Liquid AI" style="width: 100%; max-width: 100%;">
<div style="display: flex; justify-content: center; gap: 0.5em;">
<a href="https://playground.liquid.ai/"><strong>Try LFM</... | [] |
2imi9/gpt-oss-20B-NVFP4A16-BF16 | 2imi9 | 2025-12-19T23:30:15Z | 944 | 4 | null | [
"safetensors",
"gpt_oss",
"fp4",
"nvfp4",
"quantized",
"vllm",
"text-generation",
"post-training-quantization",
"conversational",
"en",
"dataset:openai/gpt-oss-training-data",
"base_model:openai/gpt-oss-20b",
"base_model:quantized:openai/gpt-oss-20b",
"license:apache-2.0",
"model-index",... | text-generation | 2025-08-31T03:27:56Z | # GPT-OSS-20B-NVFP4
## Model Overview
- **Model Architecture**: openai/gpt-oss-20b (Mixture of Experts, 128K context)
- **Parameters**: 20 billion (quantized from original MXFP4 to NVFP4)
- **Input**: Text
- **Output**: Text
- **Model Optimizations**:
- Weight quantization: NVFP4 (4-bit floating point with E4M3 FP8... | [] |
mradermacher/Qwen3.5-4B_Abliterated-i1-GGUF | mradermacher | 2026-03-03T11:06:02Z | 7,400 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:SicariusSicariiStuff/Qwen3.5-4B_Abliterated",
"base_model:quantized:SicariusSicariiStuff/Qwen3.5-4B_Abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-03T10:39:32Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 476,
"end": 498,
"text": "Qwen3.5-4B_Abliterated",
"label": "benchmark name",
"score": 0.7288204431533813
},
{
"start": 635,
"end": 665,
"text": "Qwen3.5-4B_Abliterated-i1-GGUF",
"label": "benchmark name",
"score": 0.8087241649627686
},
{
"start": 739,
... |
Mungert/rwkv7-7.2B-g0-GGUF | Mungert | 2025-09-24T15:44:36Z | 534 | 4 | null | [
"gguf",
"text-generation",
"en",
"zh",
"ja",
"ko",
"fr",
"ar",
"es",
"pt",
"arxiv:2503.14456",
"base_model:BlinkDL/rwkv7-g1",
"base_model:quantized:BlinkDL/rwkv7-g1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-07-24T19:57:31Z | # <span style="color: #7FFF7F;">rwkv7-7.2B-g0 GGUF Models</span>
## <span style="color: #7F7FFF;">Model Generation Details</span>
This model was generated using [llama.cpp](https://github.com/ggerganov/llama.cpp) at commit [`e4868d16`](https://github.com/ggerganov/llama.cpp/commit/e4868d16d24dec55e61bcaadaca28feed8f... | [] |
mradermacher/Qwen3-Coder-30B-A3B-Ilograph-Instruct-GGUF | mradermacher | 2026-03-11T15:13:33Z | 835 | 1 | transformers | [
"transformers",
"gguf",
"qwen3",
"sft",
"ilograph",
"en",
"dataset:Brigham-Young-University/Ilograph_dataset",
"base_model:Brigham-Young-University/Qwen3-Coder-30B-A3B-Ilograph-Instruct",
"base_model:quantized:Brigham-Young-University/Qwen3-Coder-30B-A3B-Ilograph-Instruct",
"license:mit",
"endpo... | null | 2026-03-06T13:04:19Z | ## 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... | [] |
elpirater312/nohurry-gemma-4-26B-A4B-it-heretic-IQ4_NL-ud-imtrx-GUFF | elpirater312 | 2026-04-10T01:37:15Z | 1,348 | 2 | null | [
"gguf",
"base_model:google/gemma-4-26B-A4B-it",
"base_model:quantized:google/gemma-4-26B-A4B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-04-07T04:00:55Z | # ⚠️ UPDATE APRIL 09: V2 RELEASE (CRITICAL FIXES)
**The previous version was built on outdated llama.cpp kernels. This V2 release incorporates the latest architectural fixes for Gemma-4, including the `<unused24>` buffer fix and Logit Soft-Capping.**
# THE ULTIMATE IQ4_NL (V2) - APRIL 2026 FIXES
The previous quant is... | [
{
"start": 1162,
"end": 1168,
"text": "IQ4_NL",
"label": "benchmark name",
"score": 0.6026610732078552
},
{
"start": 1522,
"end": 1529,
"text": "imatrix",
"label": "benchmark name",
"score": 0.6266880035400391
}
] |
mradermacher/karma-electric-llama31-8b-GGUF | mradermacher | 2026-03-20T03:06:37Z | 565 | 1 | transformers | [
"transformers",
"gguf",
"ethics",
"alignment",
"activation-steering",
"activation-capping",
"reward-model",
"qlora",
"llama",
"h-neurons",
"en",
"cs",
"dataset:custom",
"base_model:anicka/karma-electric-llama31-8b",
"base_model:quantized:anicka/karma-electric-llama31-8b",
"license:llam... | null | 2026-02-13T19:02:47Z | ## 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": 521,
"end": 551,
"text": "karma-electric-llama31-8b-GGUF",
"label": "benchmark name",
"score": 0.7019052505493164
},
{
"start": 1247,
"end": 1277,
"text": "karma-electric-llama31-8b-GGUF",
"label": "benchmark name",
"score": 0.6340765953063965
},
{
"sta... |
ai-sage/GigaChat3.1-702B-A36B-GGUF | ai-sage | 2026-04-02T21:58:16Z | 846 | 15 | null | [
"gguf",
"instruct",
"moe",
"multilingual",
"long-context",
"tool-use",
"text-generation",
"ru",
"en",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-03-21T10:28:40Z | # GigaChat 3.1 Ultra
`GigaChat 3.1 Ultra` is the flagship instruct model of the GigaChat family. It is a large-scale Mixture-of-Experts (MoE) model with 702B total parameters and 36B active parameters, designed for multilingual assistant workloads, reasoning, code, tool use, and large-cluster deployment.
For high-per... | [] |
mradermacher/Llama-3.1-8B-Alpaca-Indo-GRPO-GGUF | mradermacher | 2026-04-08T21:00:09Z | 328 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"llama",
"en",
"base_model:zitaqiy/Llama-3.1-8B-Alpaca-Indo-GRPO",
"base_model:quantized:zitaqiy/Llama-3.1-8B-Alpaca-Indo-GRPO",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-08T20:28:41Z | ## 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": 389,
"text": "Llama-3.1-8B-Alpaca-Indo-GRPO",
"label": "benchmark name",
"score": 0.8296555876731873
},
{
"start": 526,
"end": 560,
"text": "Llama-3.1-8B-Alpaca-Indo-GRPO-GGUF",
"label": "benchmark name",
"score": 0.8520504832267761
},
{
"st... |
llmfan46/Q3.5-BlueStar-27B-ultra-heretic-GPTQ-int4 | llmfan46 | 2026-03-27T22:59:00Z | 971 | 1 | null | [
"safetensors",
"qwen3_5_text",
"qwen3_5",
"heretic",
"uncensored",
"decensored",
"abliterated",
"dataset:zerofata/Instruct-Anime",
"dataset:zerofata/Gemini-3.1-Pro-SmallWiki",
"dataset:zerofata/Gemini-3.1-Pro-GLM5-Characters",
"dataset:zerofata/Roleplay-Anime-Characters",
"base_model:llmfan46/... | null | 2026-03-05T00:02:21Z | <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... | [] |
timm/vit_base_patch16_dinov3_qkvb.lvd1689m | timm | 2025-09-24T22:42:03Z | 1,982 | 1 | timm | [
"timm",
"pytorch",
"safetensors",
"image-feature-extraction",
"transformers",
"dataset:lvd-1689m",
"arxiv:2508.10104",
"arxiv:2010.11929",
"license:other",
"region:us"
] | image-feature-extraction | 2025-09-17T16:31:53Z | # Model card for vit_base_patch16_dinov3_qkvb.lvd1689m
A DINOv3 ViT model image feature encoder. Distilled on LVD-1689M from the DINOv3 ViT-7B model.
## Model Notes
* The original model weights ended up with all QKV projection biases being zeroes. For `timm`, have disabled the QKV bias (`qkv_bias=False`) for the mode... | [] |
allenai/MolmoWeb-8B | allenai | 2026-04-10T20:50:34Z | 2,302 | 63 | transformers | [
"transformers",
"safetensors",
"molmo2",
"image-text-to-text",
"multimodal",
"olmo",
"molmo",
"conversational",
"custom_code",
"en",
"dataset:allenai/MolmoWeb-SyntheticTraj",
"dataset:allenai/MolmoWeb-HumanTrajs",
"dataset:allenai/MolmoWeb-HumanSkills",
"dataset:allenai/MolmoWeb-SyntheticS... | image-text-to-text | 2026-03-20T04:12:28Z | <img src="molmoweb_logo.png" alt="Logo for the MolmoWeb Project" style="width: auto; height: 50px;">
# MolmoWeb-8B
<span style="color:red; font-weight: bold;">Important Update!</span>
We made a few small but important updates to this HF/transformers-compatible checkpoint to ensure exact outputs to our native model c... | [] |
ahczhg/Llama-3.2-1B-Aegis-SFT-DPO | ahczhg | 2025-11-17T14:24:18Z | 23,991 | 1 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-3.2",
"fine-tuned",
"sft",
"dpo",
"content-safety",
"aegis",
"trl",
"peft",
"lora",
"rlhf",
"conversational",
"en",
"dataset:nvidia/Aegis-AI-Content-Safety-Dataset-2.0",
"base_model:meta-llama/Llama-3.2-1B",
"base_... | text-generation | 2025-11-15T13:44:17Z | # Llama-3.2-1B-Aegis-SFT-DPO
<div align="center">
<strong>Fine-tuned Llama 3.2 1B for Content-Safe Instruction Following</strong>
</div>
<br>
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) using a **two-stage training approach**:
1. **Supervised Fin... | [] |
mradermacher/Angelic_Eclipse_12B-i1-GGUF | mradermacher | 2025-12-24T23:22:28Z | 628 | 5 | transformers | [
"transformers",
"gguf",
"en",
"dataset:SicariusSicariiStuff/UBW_Tapestries",
"base_model:SicariusSicariiStuff/Angelic_Eclipse_12B",
"base_model:quantized:SicariusSicariiStuff/Angelic_Eclipse_12B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-24T18:33:34Z | ## 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": 632,
"end": 659,
"text": "Angelic_Eclipse_12B-i1-GGUF",
"label": "benchmark name",
"score": 0.7052126526832581
},
{
"start": 733,
"end": 757,
"text": "Angelic_Eclipse_12B-GGUF",
"label": "benchmark name",
"score": 0.6102945804595947
},
{
"start": 1218,
... |
TheBloke/Llama-2-70B-Chat-AWQ | TheBloke | 2023-11-09T18:21:09Z | 1,987 | 24 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"arxiv:2307.09288",
"base_model:meta-llama/Llama-2-70b-chat-hf",
"base_model:quantized:meta-llama/Llama-2-70b-chat-hf",
"license:llama2",
"text-generation-inference",
"4-bit",
"aw... | text-generation | 2023-09-19T00:06:16Z | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<d... | [] |
unsloth/Qwen3-Embedding-0.6B | unsloth | 2026-01-22T14:30:48Z | 10,164 | 5 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3",
"text-generation",
"transformers",
"sentence-similarity",
"feature-extraction",
"text-embeddings-inference",
"arxiv:2506.05176",
"base_model:Qwen/Qwen3-0.6B-Base",
"base_model:finetune:Qwen/Qwen3-0.6B-Base",
"license:apache-2.0",
"endpoints_co... | feature-extraction | 2026-01-22T14:30:40Z | # Qwen3-Embedding-0.6B
<p align="center">
<img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/logo_qwen3.png" width="400"/>
<p>
## Highlights
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building up... | [
{
"start": 1031,
"end": 1060,
"text": "MTEB multilingual leaderboard",
"label": "benchmark name",
"score": 0.6720633506774902
}
] |
mradermacher/Gliese-Qwen3.5-9B-Abliterated-Caption-i1-GGUF | mradermacher | 2026-03-11T12:51:53Z | 20,210 | 6 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"pytorch",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"refusal-ablated",
"vllm",
"bf16",
"max",
"alignment-modified",
"reasoning",
"en",
"zh",
"base_model:prithivMLmods/Gliese-Qwen3.5-9B-Abliterated-Caption",
"base_... | null | 2026-03-11T06:22:13Z | ## 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": 469,
"end": 506,
"text": "Gliese-Qwen3.5-9B-Abliterated-Caption",
"label": "benchmark name",
"score": 0.694707453250885
},
{
"start": 643,
"end": 688,
"text": "Gliese-Qwen3.5-9B-Abliterated-Caption-i1-GGUF",
"label": "benchmark name",
"score": 0.778089463710784... |
hotchpotch/japanese-reranker-cross-encoder-small-v1 | hotchpotch | 2025-07-09T09:20:19Z | 66,862 | 5 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"xlm-roberta",
"text-ranking",
"ja",
"dataset:hotchpotch/JQaRA",
"dataset:shunk031/JGLUE",
"dataset:miracl/miracl",
"dataset:castorini/mr-tydi",
"dataset:unicamp-dl/mmarco",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:... | text-ranking | 2024-03-28T04:31:45Z | ## hotchpotch/japanese-reranker-cross-encoder-small-v1
日本語で学習させた Reranker (CrossEncoder) シリーズです。
| モデル名 | layers | hidden_size |
| ------------------------------------------------------------... | [] |
unsloth/Qwen3.5-27B-GGUF | unsloth | 2026-03-05T16:31:31Z | 972,810 | 353 | null | [
"gguf",
"unsloth",
"image-text-to-text",
"base_model:Qwen/Qwen3.5-27B",
"base_model:quantized:Qwen/Qwen3.5-27B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | image-text-to-text | 2026-02-24T14:50:03Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<h1 style="margin-top: 0rem;">To run Qwen3.5 locally - <a href="https://docs.unsloth.ai/models/qwen3.5">Read our Guide!</a></h1>
</p>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth ... | [] |
Octen/Octen-Embedding-8B-INT8 | Octen | 2026-02-09T05:17:49Z | 482 | 4 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3",
"sentence-similarity",
"feature-extraction",
"embedding",
"text-embedding",
"retrieval",
"quantization",
"int8",
"en",
"zh",
"multilingual",
"base_model:Qwen/Qwen3-Embedding-8B",
"base_model:quantized:Qwen/Qwen3-Embedding-8B",
"license:a... | sentence-similarity | 2026-01-10T03:40:43Z | # Octen-Embedding-8B-INT8
Octen-Embedding-8B-INT8 is a text embedding model developed by [Octen](https://octen.ai/) for semantic search and retrieval tasks. This model is fine-tuned from [Qwen/Qwen3-Embedding-8B](https://huggingface.co/Qwen/Qwen3-Embedding-8B) and supports multiple languages, providing high-quality em... | [
{
"start": 2,
"end": 25,
"text": "Octen-Embedding-8B-INT8",
"label": "benchmark name",
"score": 0.6003120541572571
},
{
"start": 808,
"end": 826,
"text": "Octen-Embedding-8B",
"label": "benchmark name",
"score": 0.6166964173316956
},
{
"start": 917,
"end": 934... |
laion/CLIP-ViT-B-32-laion2B-s34B-b79K | laion | 2025-01-22T04:41:33Z | 2,482,770 | 138 | open_clip | [
"open_clip",
"pytorch",
"safetensors",
"clip",
"zero-shot-image-classification",
"arxiv:1910.04867",
"license:mit",
"region:us"
] | zero-shot-image-classification | 2022-09-14T22:49:28Z | # Model Card for CLIP ViT-B/32 - LAION-2B
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Training Details](#training-details)
4. [Evaluation](#evaluation)
5. [Acknowledgements](#acknowledgements)
6. [Citation](#citation)
7. [How To Get Started With the Model](#how-to-get-started-with-the... | [] |
krlvi/sentence-t5-base-nlpl-code_search_net | krlvi | 2022-11-16T15:21:43Z | 713 | 12 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"t5",
"feature-extraction",
"sentence-similarity",
"license:agpl-3.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | sentence-similarity | 2022-11-16T14:39:25Z | # sentence-t5-base-nlpl-code_search_net
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.
It has been trained on the with the [code_search_net](https://huggingface.co/data... | [
{
"start": 977,
"end": 1006,
"text": "Sentence Embeddings Benchmark",
"label": "benchmark name",
"score": 0.6798064708709717
},
{
"start": 1067,
"end": 1077,
"text": "MODEL_NAME",
"label": "benchmark name",
"score": 0.6383026838302612
},
{
"start": 1438,
"end"... |
pszemraj/pegasus-x-large-book-summary | pszemraj | 2025-12-29T03:40:14Z | 761 | 37 | transformers | [
"transformers",
"pytorch",
"safetensors",
"pegasus_x",
"text2text-generation",
"summarization",
"summary",
"booksum",
"long-document",
"long-form",
"dataset:kmfoda/booksum",
"base_model:google/pegasus-x-large",
"base_model:finetune:google/pegasus-x-large",
"license:apache-2.0",
"license:... | summarization | 2022-09-16T10:55:11Z | # pszemraj/pegasus-x-large-book-summary
<a href="https://colab.research.google.com/gist/pszemraj/6c326c0649233ab017d63adc36958d1a/pegasus-x-large-booksum-demo.ipynb">
<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
</a>
Get SparkNotes-esque summaries of arbitrary text! Due... | [
{
"start": 810,
"end": 823,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.6810932755470276
},
{
"start": 1313,
"end": 1326,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.6316286325454712
}
] |
mradermacher/Kimi-Linear-REAP-35B-A3B-Instruct-i1-GGUF | mradermacher | 2026-02-16T05:49:30Z | 679 | 1 | transformers | [
"transformers",
"gguf",
"kimi",
"MOE",
"pruning",
"compression",
"en",
"base_model:cerebras/Kimi-Linear-REAP-35B-A3B-Instruct",
"base_model:quantized:cerebras/Kimi-Linear-REAP-35B-A3B-Instruct",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-16T00:01:08Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
TheCluster/Qwen3.5-27B-Heretic-MLX-bf16 | TheCluster | 2026-03-21T06:43:52Z | 2,274 | 2 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"heretic",
"uncensored",
"unrestricted",
"decensored",
"abliterated",
"bfloat16",
"image-text-to-text",
"conversational",
"en",
"zh",
"ru",
"es",
"fr",
"it",
"ja",
"ko",
"af",
"de",
"ar",
"tr",
"is",
"pl",
"sw",
"sv",
"nl",
"he... | image-text-to-text | 2026-02-26T08:04:02Z | <div align="center"><img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png"></div>
# Qwen3.5-27B Heretic
**Quality**: original (**bfloat16**)
This is a abliterated (**uncensored**) version of [Qwen/Qwen3.5-27B](https://huggingface.co/Qwen/Qwen3.5-27B), made using [Heretic](https://g... | [
{
"start": 463,
"end": 479,
"text": "Qwen/Qwen3.5-27B",
"label": "benchmark name",
"score": 0.6271185278892517
},
{
"start": 951,
"end": 975,
"text": "mlp.down_proj.max_weight",
"label": "evaluation metric",
"score": 0.625249445438385
},
{
"start": 991,
"end":... |
nvidia/Qwen3-Nemotron-32B-GenRM-Principle | nvidia | 2025-10-30T03:38:25Z | 799 | 14 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"nvidia",
"conversational",
"en",
"dataset:nvidia/HelpSteer3",
"arxiv:2410.16184",
"arxiv:2509.21319",
"arxiv:2503.04378",
"arxiv:2505.11475",
"arxiv:2410.01257",
"arxiv:2310.05344",
"arxiv:2311.09528",
"arxiv:2406.08673",
"b... | text-generation | 2025-10-12T04:32:57Z | # Model Overview
## Description:
Qwen3-Nemotron-32B-GenRM-Principle is a large language model that leverages Qwen3-32B as the foundation and is fine-tuned to predict the extent to which LLM-generated responses fulfils user-specified principles.
Given a conversation with multiple turns between user and assistant and ... | [
{
"start": 35,
"end": 69,
"text": "Qwen3-Nemotron-32B-GenRM-Principle",
"label": "benchmark name",
"score": 0.8698152899742126
},
{
"start": 405,
"end": 417,
"text": "reward score",
"label": "evaluation metric",
"score": 0.9200162887573242
},
{
"start": 464,
"... |
mradermacher/Aitana-7B-S-base-1.0-GGUF | mradermacher | 2026-04-08T22:45:11Z | 496 | 1 | transformers | [
"transformers",
"gguf",
"valencian",
"catalan",
"spanish",
"english",
"text-generation",
"alia",
"gplsi",
"ca",
"es",
"en",
"dataset:gplsi/alia_dogv",
"dataset:gplsi/alia_les_corts",
"dataset:gplsi/alia_amic",
"dataset:gplsi/alia_boua",
"dataset:gplsi/alia_tourism",
"base_model:gpl... | text-generation | 2026-04-08T18:35:09Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/Suri-Qwen-3.5-4B-Uncensored-GGUF | mradermacher | 2026-03-18T11:36:10Z | 2,256 | 1 | transformers | [
"transformers",
"gguf",
"suri",
"qwen",
"4B",
"uncensored",
"unaligned",
"text-generation-inference",
"qwen3.5",
"zh",
"en",
"dataset:SpaceTimee/Suri-Dataset-1.0-Toxic-SFT-EN-Thinking",
"dataset:SpaceTimee/Suri-Dataset-1.0-Toxic-DPO-ZH-Thinking",
"dataset:SpaceTimee/Suri-Dataset-1.0-Toxic-... | null | 2026-03-06T07:01:20Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
tsinghua-ee/WAVE-7B | tsinghua-ee | 2026-02-11T12:14:28Z | 844 | 1 | null | [
"pytorch",
"qwen2_5_omni_thinker",
"en",
"arxiv:2509.21990",
"base_model:Qwen/Qwen2.5-Omni-7B",
"base_model:finetune:Qwen/Qwen2.5-Omni-7B",
"license:apache-2.0",
"region:us"
] | null | 2026-01-28T09:57:52Z | # WAVE: Learning Unified & Versatile Audio-Visual Embeddings with Multimodal LLM
<!-- <div align="center"> -->
<div>
<a href="https://arxiv.org/pdf/2509.21990" target="_blank">
<img src="https://img.shields.io/badge/Paper-arXiv-red.svg" alt="Paper arXiv">
</a>
<a href="https://huggingface.co/tsinghua... | [] |
TheBloke/Noromaid-13B-v0.3-GGUF | TheBloke | 2024-01-07T13:08:01Z | 1,061 | 13 | transformers | [
"transformers",
"gguf",
"llama",
"base_model:NeverSleep/Noromaid-13b-v0.3",
"base_model:quantized:NeverSleep/Noromaid-13b-v0.3",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-01-07T12:38:16Z | <!-- markdownlint-disable MD041 -->
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content:... | [] |
google/metricx-23-qe-xl-v2p0 | google | 2025-01-07T21:10:43Z | 873 | 3 | transformers | [
"transformers",
"pytorch",
"mt5",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-02-07T16:35:10Z | # MetricX-23
*This is not an officially supported Google product.*
**GitHub repository: [https://github.com/google-research/metricx](https://github.com/google-research/metricx)**
This repository contains the MetricX-23 models,
a family of models for automatic evaluation of translations that were proposed
in the WMT'... | [
{
"start": 796,
"end": 810,
"text": "MetricX-23-XXL",
"label": "evaluation metric",
"score": 0.736355721950531
},
{
"start": 866,
"end": 879,
"text": "MetricX-23-XL",
"label": "evaluation metric",
"score": 0.6441130638122559
},
{
"start": 934,
"end": 950,
... |
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