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/Anime-Llasa-3B-GGUF | mradermacher | 2025-09-15T05:15:53Z | 262 | 3 | transformers | [
"transformers",
"gguf",
"ja",
"dataset:OOPPEENN/56697375616C4E6F76656C5F44617461736574",
"dataset:amphion/Emilia-Dataset",
"dataset:litagin/ehehe-corpus",
"dataset:joujiboi/japanese-anime-speech",
"dataset:OmniAICreator/ASMR-Archive-Processed",
"base_model:NandemoGHS/Anime-Llasa-3B",
"base_model:q... | null | 2025-09-15T04:37:55Z | ## 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... | [] |
microsoft/git-base-vqav2 | microsoft | 2024-03-09T11:32:43Z | 142 | 21 | transformers | [
"transformers",
"pytorch",
"safetensors",
"git",
"image-text-to-text",
"vision",
"visual-question-answering",
"en",
"arxiv:2205.14100",
"license:mit",
"region:us"
] | visual-question-answering | 2022-12-06T11:02:00Z | # GIT (GenerativeImage2Text), base-sized, fine-tuned on VQAv2
GIT (short for GenerativeImage2Text) model, base-sized version, fine-tuned on VQAv2. It was introduced in the paper [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14100) by Wang et al. and first released in ... | [] |
fixie-ai/ultravox-v0_7-glm-4_6 | fixie-ai | 2025-12-08T18:51:50Z | 5,506 | 21 | transformers | [
"transformers",
"safetensors",
"ultravox",
"feature-extraction",
"audio-text-to-text",
"custom_code",
"ar",
"be",
"bg",
"bn",
"cs",
"cy",
"da",
"de",
"el",
"en",
"es",
"et",
"fa",
"fi",
"fr",
"gl",
"hi",
"hu",
"it",
"ja",
"ka",
"lt",
"lv",
"mk",
"mr",
"n... | audio-text-to-text | 2025-12-02T04:43:58Z | # Model Card for Ultravox
Ultravox is a multimodal Speech LLM built around a pretrained LLM (GLM 4.6 in this case) and a speech encoder ([whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo)) backbone.
See https://ultravox.ai for the GitHub repo and more information.
## Model Details
### M... | [] |
mradermacher/Nemotron-Cascade-2-30B-A3B-i1-GGUF | mradermacher | 2026-03-20T20:27:08Z | 15,217 | 22 | transformers | [
"transformers",
"gguf",
"nvidia",
"nemotron-cascade-2",
"reasoning",
"general-purpose",
"SFT",
"RL",
"en",
"base_model:nvidia/Nemotron-Cascade-2-30B-A3B",
"base_model:quantized:nvidia/Nemotron-Cascade-2-30B-A3B",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"convers... | null | 2026-03-20T15:18:28Z | ## 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_... | [] |
Simonc-44/Cygnis-Alpha-2-8B-v0.3-i1-GGUF | Simonc-44 | 2026-03-23T20:01:01Z | 1,778 | 1 | transformers | [
"transformers",
"gguf",
"text-generation",
"llama-3.1",
"reasoning",
"cot",
"8b",
"cygnis-alpha",
"imatrix",
"ollama",
"llama-cpp",
"unsloth",
"en",
"fr",
"dataset:Simonc-44/Cygnis-Alpha2-Instruct-Mix",
"dataset:Simonc-44/Cygnis-Identity-SFT",
"base_model:Simonc-44/Cygnis-Alpha-2-8B-... | text-generation | 2026-03-22T18:35:55Z | [//]: # (Official GGUF Imatrix quantizations for Cygnis Alpha 2 8B v0.3. Optimized for French and English reasoning.)
<div align="center" style="background-color: #050505; color: #e2e8f0; padding: 80px 40px; border-radius: 24px; border: 1px solid #1e1e20; font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe... | [] |
Goekdeniz-Guelmez/Josiefied-Qwen3.5-0.8B-gabliterated-v1 | Goekdeniz-Guelmez | 2026-03-13T17:24:03Z | 1,115 | 6 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"chat",
"text-generation",
"conversational",
"arxiv:2512.18901",
"base_model:Qwen/Qwen3.5-0.8B",
"base_model:finetune:Qwen/Qwen3.5-0.8B",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-09T14:43:05Z | # Model Card for Goekdeniz-Guelmez/Josiefied-Qwen3.5-0.8B-gabliterated-v1
<p align="center"> <img src="josiefiedv2.png" width="250" alt="JOSIE Logo"> </p>
## JOSIEFIED Model Family
The **JOSIEFIED** model family represents a series of highly advanced language models built upon renowned architectures such as Alibaba’... | [
{
"start": 322,
"end": 337,
"text": "Qwen2/2.5/3/3.5",
"label": "benchmark name",
"score": 0.6125161051750183
},
{
"start": 348,
"end": 354,
"text": "Gemma3",
"label": "benchmark name",
"score": 0.7365481853485107
},
{
"start": 367,
"end": 375,
"text": "LL... |
mradermacher/VCInspector-7B-GGUF | mradermacher | 2026-01-12T06:54:08Z | 178 | 1 | transformers | [
"transformers",
"gguf",
"multimodal",
"video-caption-evaluation",
"reference-free",
"factual-analysis",
"vision-language",
"en",
"dataset:dipta007/ActivityNet-FG-It",
"base_model:dipta007/VCInspector-7B",
"base_model:quantized:dipta007/VCInspector-7B",
"license:apache-2.0",
"endpoints_compat... | null | 2026-01-12T06:08:04Z | ## 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... | [] |
FireRedTeam/FireRed-Image-Edit-1.0 | FireRedTeam | 2026-02-14T09:33:35Z | 16,992 | 329 | diffusers | [
"diffusers",
"safetensors",
"en",
"zh",
"license:apache-2.0",
"diffusers:QwenImageEditPlusPipeline",
"region:us"
] | image-to-image | 2026-02-12T04:50:15Z | <p align="center">
<img src="./assets/logo.png" width="600"/>
<p>
<p align="center" style="line-height: 1;">
<a href="https://huggingface.co/FireRedTeam" target="_blank"><img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-FireRedTeam-ffc107?color=ffc107&logoColor=white" style=... | [] |
IQuestLab/Fleming-R1-32B | IQuestLab | 2025-09-22T02:27:37Z | 131 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2509.15279",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-16T05:17:07Z | # Fleming-R1-32B
<p align="center" style="margin: 0;">
<a href="https://github.com/UbiquantAI/Fleming-R1" aria-label="GitHub Repository" style="text-decoration:none;">
<span style="display:inline-flex;align-items:center;gap:.35em;">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"
widt... | [] |
cisco-ai/SecureBERT2.0-base | cisco-ai | 2025-10-30T21:05:58Z | 42,420 | 26 | transformers | [
"transformers",
"safetensors",
"modernbert",
"fill-mask",
"cybersecurity",
"CiscoAI",
"code",
"CTI",
"en",
"dataset:custom",
"arxiv:2510.00240",
"arxiv:1910.09700",
"base_model:answerdotai/ModernBERT-base",
"base_model:finetune:answerdotai/ModernBERT-base",
"license:apache-2.0",
"endpo... | fill-mask | 2025-10-06T06:35:23Z | ---
license: apache-2.0
language:
- en
tags:
- fill-mask
- transformers
- safetensors
- modernbert
- cybersecurity
- CiscoAI
- code
- CTI
datasets:
- custom
library_name: transformers
pipeline_tag: fill-mask
model-index:
- name: SecureBERT2.0-base
results: []
base_model:
- answerdotai/ModernBERT-base
---
# Model Car... | [] |
deucebucket/Qwen3-30B-A3B-Cerebellum-GGUF | deucebucket | 2026-05-02T18:48:49Z | 309 | 1 | null | [
"gguf",
"quantized",
"cerebellum",
"moe",
"ablation-guided",
"base_model:Qwen/Qwen3-30B-A3B",
"base_model:quantized:Qwen/Qwen3-30B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-05-02T16:22:24Z | # Qwen3-30B-A3B — Cerebellum GGUF
Ablation-guided mixed-precision quantization of [Qwen/Qwen3-30B-A3B](https://huggingface.co/Qwen/Qwen3-30B-A3B). 30B total parameters, 3B active (MoE with 128 experts, 8 active per token).
## What is Cerebellum?
Instead of uniform quantization, we measure which weight groups survive... | [
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"start": 2,
"end": 15,
"text": "Qwen3-30B-A3B",
"label": "benchmark name",
"score": 0.9295589923858643
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{
"start": 84,
"end": 88,
"text": "Qwen",
"label": "benchmark name",
"score": 0.647580087184906
},
{
"start": 89,
"end": 102,
"text": "Qwen3-30B-A3B... |
z-lab/Qwen3.5-9B-PARO | z-lab | 2026-05-03T04:05:27Z | 17,299 | 46 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"mlx",
"conversational",
"arxiv:2511.10645",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"paroquant",
"region:us"
] | image-text-to-text | 2026-03-05T18:38:25Z | # z-lab/Qwen3.5-9B-PARO
**Pairwise Rotation Quantization for Efficient Reasoning LLM Inference**
<p>
<a href="https://arxiv.org/abs/2511.10645"><img src="https://img.shields.io/badge/arXiv-2511.10645-b31b1b.svg" alt="Paper"></a>
<a href="https://paroquant.z-lab.ai"><img src="https://img.shields.io/badge/Blog-Paro... | [] |
mradermacher/Qwen3-14B-ai-expert-i1-GGUF | mradermacher | 2026-01-06T14:21:02Z | 340 | 2 | transformers | [
"transformers",
"gguf",
"chat",
"llm",
"rag",
"agents",
"en",
"zh",
"base_model:GXMZU/Qwen3-14B-ai-expert",
"base_model:quantized:GXMZU/Qwen3-14B-ai-expert",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-06T10:58:03Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 617,
"end": 644,
"text": "Qwen3-14B-ai-expert-i1-GGUF",
"label": "benchmark name",
"score": 0.6953140497207642
},
{
"start": 718,
"end": 742,
"text": "Qwen3-14B-ai-expert-GGUF",
"label": "benchmark name",
"score": 0.6254705786705017
},
{
"start": 1244,
... |
AI-MO/Kimina-Prover-Preview-Distill-1.5B | AI-MO | 2025-04-16T08:53:13Z | 196 | 12 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2504.11354",
"base_model:Qwen/Qwen2.5-Math-1.5B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-Math-1.5B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"re... | text-generation | 2025-04-09T13:57:00Z | # Kimina-Prover-Preview-Distill-1.5B
**Kimina-Prover-Preview-Distill-1.5B** is a theorem proving model developed by Project Numina and Kimi teams, focusing on competition style problem solving capab... | [] |
HuggingFaceTB/SmolVLM-256M-Instruct | HuggingFaceTB | 2025-04-08T21:39:50Z | 303,888 | 344 | transformers | [
"transformers",
"onnx",
"safetensors",
"idefics3",
"image-text-to-text",
"conversational",
"en",
"dataset:HuggingFaceM4/the_cauldron",
"dataset:HuggingFaceM4/Docmatix",
"arxiv:2504.05299",
"base_model:HuggingFaceTB/SmolLM2-135M-Instruct",
"base_model:quantized:HuggingFaceTB/SmolLM2-135M-Instru... | image-text-to-text | 2025-01-17T15:40:24Z | <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/SmolVLM_256_banner.png" width="800" height="auto" alt="Image description">
# SmolVLM-256M
SmolVLM-256M is the smallest multimodal model in the world. It accepts arbitrary sequences of image and text inputs to produce text outputs.... | [] |
VAGOsolutions/SauerkrautLM-ColQwen3-2b-v0.1 | VAGOsolutions | 2025-12-14T19:29:04Z | 585 | 4 | sauerkrautlm-colpali | [
"sauerkrautlm-colpali",
"safetensors",
"qwen3_vl",
"document-retrieval",
"vision-language-model",
"multi-vector",
"colpali",
"late-interaction",
"visual-retrieval",
"qwen3-vl",
"mteb",
"vidore",
"image-text-to-text",
"en",
"de",
"fr",
"es",
"it",
"pt",
"dataset:vidore/colpali_t... | image-text-to-text | 2025-12-11T19:07:04Z | # SauerkrautLM-ColQwen3-2b-v0.1
<p align="center">
<img src="https://vago-solutions.ai/wp-content/uploads/2025/12/Sauerkrautlm-colpali-scaled.png" alt="VAGO Solutions Logo" width="75%"/>
</p>
**🥇 Best 128-dim Model in Medium (1-3B) Category** | **+1.01 over ColQwen2**
SauerkrautLM-ColQwen3-2b-v0.1 achieves **90.2... | [
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"text": "SauerkrautLM-ColQwen3-2b-v0.1",
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"score": 0.6465938091278076
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{
"start": 274,
"end": 303,
"text": "SauerkrautLM-ColQwen3-2b-v0.1",
"label": "benchmark name",
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{
"start": 32... |
HiDream-ai/HiDream-E1-1 | HiDream-ai | 2025-07-17T06:10:06Z | 661 | 209 | diffusers | [
"diffusers",
"safetensors",
"image-editing",
"HiDream.ai",
"any-to-any",
"en",
"arxiv:2505.22705",
"base_model:HiDream-ai/HiDream-I1-Full",
"base_model:finetune:HiDream-ai/HiDream-I1-Full",
"license:mit",
"diffusers:HiDreamImageEditingPipeline",
"region:us"
] | any-to-any | 2025-07-16T14:27:03Z | 
HiDream-E1 is an image editing model built on [HiDream-I1](https://github.com/HiDream-ai/HiDream-I1).
<span style="color: #FF5733; font-weight: bold">For more features and to experience the full capabilities of our product, please visit [https://vivago.ai/](https://vivago.ai/).</span>
##... | [] |
KBlueLeaf/HDM-xut-340M-anime | KBlueLeaf | 2025-08-14T06:26:25Z | 823 | 136 | diffusers | [
"diffusers",
"safetensors",
"text-generation-inference",
"anime",
"text-to-image",
"en",
"dataset:Amber-River/Pixiv-2.6M",
"dataset:KBlueLeaf/danbooru2023-webp-4Mpixel",
"arxiv:2501.04765",
"license:cc",
"diffusers:HDMXUTPipeline",
"region:us"
] | text-to-image | 2025-08-13T17:57:33Z | # HDM-xut-340M-Anime
***World's smallest, cheapest anime-style T2I base***
[](https://github.com/KohakuBlueleaf/HDM)
[-2ea44f)](https://github.com/KohakuBluele... | [] |
OmniDimen/OmniDimen-v2.5-4B-Emotion | OmniDimen | 2026-03-29T11:58:17Z | 107 | 2 | null | [
"safetensors",
"qwen3_5",
"text-generation",
"conversational",
"zh",
"en",
"base_model:Qwen/Qwen3.5-4B",
"base_model:finetune:Qwen/Qwen3.5-4B",
"license:mit",
"region:us"
] | text-generation | 2026-03-23T15:35:26Z | # OmniDimen-2.5-4B-Emotion
This model is a fine-tuned version of **Qwen/Qwen3.5-4B**, specialized for **emotion recognition and emotionally-aware text generation**.
We provide this model in this format:
- **safetensor(BF16)** (~9GB on disk)
The **safetensors weights** can be used directly with PyTorch-based setups a... | [] |
lmstudio-community/GLM-4.6V-Flash-GGUF | lmstudio-community | 2025-12-17T16:33:23Z | 57,294 | 4 | null | [
"gguf",
"base_model:zai-org/GLM-4.6V-Flash",
"base_model:quantized:zai-org/GLM-4.6V-Flash",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-09T20:20:45Z | ## 💫 Community Model> GLM-4.6V-Flash by zai-org
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator**: [zai-org](https://huggingface.co/zai-org)<br>
**Origi... | [] |
caiovicentino1/Qwopus3.5-9B-v3-HLWQ-MLX-4bit | caiovicentino1 | 2026-04-13T18:52:16Z | 1,687 | 6 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"hlwq",
"quantized",
"apple-silicon",
"reasoning",
"qwen3.5",
"text-generation",
"conversational",
"arxiv:2502.02617",
"arxiv:2603.29078",
"base_model:Jackrong/Qwopus3.5-9B-v3",
"base_model:quantized:Jackrong/Qwopus3.5-9B-v3",
"license:apache-2.0",
"4-b... | text-generation | 2026-04-01T00:16:27Z | > [!IMPORTANT]
> **Naming notice (2026-04-10).** The "HLWQ" technique used in this model is being rebranded to **HLWQ (Hadamard-Lloyd Weight Quantization)**. The change is only the name; the algorithm and the weights in this repository are unchanged.
>
> The rebrand resolves a name collision with an unrelated, earlier ... | [
{
"start": 54,
"end": 58,
"text": "HLWQ",
"label": "benchmark name",
"score": 0.7745605111122131
},
{
"start": 113,
"end": 117,
"text": "HLWQ",
"label": "benchmark name",
"score": 0.8435125350952148
},
{
"start": 360,
"end": 364,
"text": "HLWQ",
"label... |
allenai/OLMo-1B | allenai | 2024-07-16T18:02:54Z | 3,730 | 108 | transformers | [
"transformers",
"pytorch",
"safetensors",
"hf_olmo",
"text-generation",
"custom_code",
"en",
"dataset:allenai/dolma",
"arxiv:2402.00838",
"arxiv:2302.13971",
"license:apache-2.0",
"region:us"
] | text-generation | 2024-01-26T06:18:45Z | <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 1B
<!-- Provide a quick summary of what the model is/does. -->
**For transformers versions v4.40.0 or newer, we suggest using [OLMo 1B HF](http... | [] |
unsloth/Ministral-3-3B-Instruct-2512-unsloth-bnb-4bit | unsloth | 2025-12-06T08:11:18Z | 5,861 | 1 | vllm | [
"vllm",
"safetensors",
"mistral3",
"mistral-common",
"mistral",
"unsloth",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"base_model:mistralai/Ministral-3-3B-Instruct-2512",
"base_model:quantized:mistralai/Ministral-3-3B-Instruct-2512",
"license:apache-2.0",... | null | 2025-12-06T08:11:09Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See our <a href="https://huggingface.co/collections/unsloth/ministral-3">Ministral 3 collection</a> for all versions including GGUF, 4-bit & FP8 formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Learn to run Ministral correctly - <a href="h... | [
{
"start": 125,
"end": 136,
"text": "ministral-3",
"label": "benchmark name",
"score": 0.814977765083313
},
{
"start": 138,
"end": 149,
"text": "Ministral 3",
"label": "benchmark name",
"score": 0.7076323628425598
},
{
"start": 192,
"end": 196,
"text": "GG... |
huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated | huihui-ai | 2026-03-14T15:30:55Z | 5,453 | 73 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"abliterated",
"uncensored",
"Claude",
"reasoning",
"chain-of-thought",
"Dense",
"conversational",
"base_model:Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled",
"base_model:finetune:Jackrong/Qwen3.5-27B-Claude-4.6-Opus-... | image-text-to-text | 2026-03-14T12:44:17Z | # huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated
This is an uncensored version of [Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled](https://huggingface.co/Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled) created with abliteration (see [remove-refusals-with-transformers](https://github.com/... | [] |
deepseek-ai/DeepSeek-R1-0528 | deepseek-ai | 2025-05-29T11:37:44Z | 814,356 | 2,410 | transformers | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"conversational",
"custom_code",
"arxiv:2501.12948",
"license:mit",
"eval-results",
"text-generation-inference",
"endpoints_compatible",
"fp8",
"region:us"
] | text-generation | 2025-05-28T09:46:42Z | # DeepSeek-R1-0528
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div... | [] |
mradermacher/Gemma-3-4B-THINKING-GGUF | mradermacher | 2026-02-26T22:23:34Z | 429 | 1 | transformers | [
"transformers",
"gguf",
"gemma",
"gemma-3",
"thinking",
"chain-of-thought",
"reasoning",
"logic",
"programming",
"assistant",
"unsloth",
"loRA",
"pl",
"base_model:Situus/STARK-4B-Thinking",
"base_model:quantized:Situus/STARK-4B-Thinking",
"license:gemma",
"endpoints_compatible",
"r... | null | 2026-02-14T16:45:54Z | ## 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": 514,
"end": 538,
"text": "Gemma-3-4B-THINKING-GGUF",
"label": "benchmark name",
"score": 0.6233981847763062
},
{
"start": 1148,
"end": 1167,
"text": "Gemma-3-4B-THINKING",
"label": "benchmark name",
"score": 0.620689332485199
},
{
"start": 1280,
"en... |
mradermacher/gpt-oss-120b-abliterated-i1-GGUF | mradermacher | 2026-04-25T02:00:11Z | 72,439 | 3 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"moe",
"gpt-oss",
"mxfp4",
"direct-steering",
"ega",
"moe-router-suppression",
"vllm-in-place-editing",
"abliterix",
"en",
"zh",
"base_model:wangzhang/gpt-oss-120b-abliterated",
"base_model:quantized:wangzhang/gpt-oss-120b-abliterate... | null | 2026-04-23T23:48:40Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: MXFP4_MOE Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S ... | [] |
decart-ai/Lucy-Edit-1.1-Dev | decart-ai | 2025-11-20T12:32:38Z | 2,692 | 22 | diffusers | [
"diffusers",
"safetensors",
"video-to-video",
"license:other",
"diffusers:LucyEditPipeline",
"region:us"
] | video-to-video | 2025-11-07T17:46:42Z | # Lucy Edit 1.1 Dev (5B)
<p align="center">
<img src="assets/logo.png" width="680" alt="Lucy Edit Dev Logo"/>
</p>
<p align="center">
🧪 <a href="https://github.com/DecartAI/lucy-edit-comfyui"><b>GitHub</b></a>
| 📖 <a href="https://platform.decart.ai">Playground</a>
| 📑 <a href="http... | [] |
lmsys/fastchat-t5-3b-v1.0 | lmsys | 2023-06-29T22:39:04Z | 194 | 368 | transformers | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"license:apache-2.0",
"text-generation-inference",
"deploy:azure",
"region:us"
] | null | 2023-04-27T23:48:43Z | # FastChat-T5 Model Card
## Model details
**Model type:**
FastChat-T5 is an open-source chatbot trained by fine-tuning Flan-t5-xl (3B parameters) on user-shared conversations collected from ShareGPT.
It is based on an encoder-decoder transformer architecture, and can autoregressively generate responses to users' inpu... | [] |
microsoft/phi-2 | microsoft | 2025-12-08T11:35:44Z | 1,762,235 | 3,434 | transformers | [
"transformers",
"safetensors",
"phi",
"text-generation",
"nlp",
"code",
"en",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2023-12-13T21:19:59Z | ## Model Summary
Phi-2 is a Transformer with **2.7 billion** parameters. It was trained using the same data sources as [Phi-1.5](https://huggingface.co/microsoft/phi-1.5), augmented with a new data source that consists of various NLP synthetic texts and filtered websites (for safety and educational value). When assess... | [
{
"start": 18,
"end": 23,
"text": "Phi-2",
"label": "benchmark name",
"score": 0.800574541091919
},
{
"start": 121,
"end": 128,
"text": "Phi-1.5",
"label": "benchmark name",
"score": 0.744659960269928
},
{
"start": 411,
"end": 416,
"text": "Phi-2",
"la... |
nielsr/slimsam-77-uniform | nielsr | 2024-01-08T12:36:06Z | 181 | 5 | transformers | [
"transformers",
"safetensors",
"sam",
"mask-generation",
"slimsam",
"arxiv:2304.02643",
"arxiv:2312.05284",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | mask-generation | 2024-01-07T19:52:37Z | # Model Card for SlimSAM (compressed version of SAM = Segment Anything)
<p>
<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/slimsam_overview.png" alt="Model architecture">
<em> Overview of SlimSAM and its differences to alternatives.</em>
</p>
# Table ... | [] |
mradermacher/RLVR-8B-0926-GGUF | mradermacher | 2026-01-20T15:56:07Z | 606 | 1 | transformers | [
"transformers",
"gguf",
"reasoning",
"test-time-compute",
"pacore",
"math",
"code",
"en",
"base_model:stepfun-ai/RLVR-8B-0926",
"base_model:quantized:stepfun-ai/RLVR-8B-0926",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-10T08:13:50Z | ## 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... | [] |
rufimelo/bert-large-portuguese-cased-sts | rufimelo | 2024-12-15T23:07:55Z | 1,079 | 15 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"pt",
"dataset:assin",
"dataset:assin2",
"dataset:stsb_multi_mt",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | sentence-similarity | 2022-10-26T18:40:35Z | ---
language:
- pt
thumbnail: "Portuguese BERT for STS"
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- transformers
datasets:
- assin
- assin2
- stsb_multi_mt
widget:
- source_sentence: "O advogado apresentou as provas ao juíz."
sentences:
- "O juíz leu as provas."
... | [
{
"start": 172,
"end": 177,
"text": "assin",
"label": "evaluation metric",
"score": 0.7347707152366638
},
{
"start": 180,
"end": 186,
"text": "assin2",
"label": "evaluation metric",
"score": 0.719668447971344
},
{
"start": 189,
"end": 202,
"text": "stsb_mu... |
prs-eth/marigold-normals-v1-1 | prs-eth | 2025-05-20T07:43:00Z | 9,569 | 7 | diffusers | [
"diffusers",
"safetensors",
"normals estimation",
"image analysis",
"computer vision",
"in-the-wild",
"zero-shot",
"image-to-image",
"en",
"arxiv:2505.09358",
"arxiv:2312.02145",
"license:openrail++",
"diffusers:MarigoldNormalsPipeline",
"region:us"
] | image-to-image | 2024-10-21T19:16:05Z | <h1 align="center">Marigold Normals v1-1 Model Card</h1>
<p align="center">
<a title="Image Normals" href="https://huggingface.co/spaces/prs-eth/marigold-normals" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
<img src="https://img.shields.io/badge/%F0%9F%A4%97%20Image%20Normals%20-Demo-... | [] |
Mungert/Nemotron-Orchestrator-8B-GGUF | Mungert | 2025-12-05T02:15:53Z | 144 | 1 | transformers | [
"transformers",
"gguf",
"arxiv:2511.21689",
"base_model:Qwen/Qwen3-8B",
"base_model:quantized:Qwen/Qwen3-8B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-04T23:10:32Z | # <span style="color: #7FFF7F;">Nemotron-Orchestrator-8B 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 [`bde188d60`](https://github.com/ggerganov/llama.cpp/commit/bde188d60f58012ada0725c... | [] |
teknium/OpenHermes-2.5-Mistral-7B | teknium | 2024-02-19T17:53:06Z | 150,642 | 891 | transformers | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation",
"conversational",
"en",
"dataset:teknium/OpenHermes-2.5",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:finetune:mistralai/Mistral-7... | text-generation | 2023-10-29T20:36:39Z | # OpenHermes 2.5 - Mistral 7B
*In the tapestry of Greek mythology, Hermes reigns as the eloquent Messenger of the Gods, a deity who deftly bridges the realms through the art of communication. It is ... | [
{
"start": 861,
"end": 871,
"text": "TruthfulQA",
"label": "benchmark name",
"score": 0.6632176041603088
},
{
"start": 873,
"end": 880,
"text": "AGIEval",
"label": "benchmark name",
"score": 0.6958842873573303
},
{
"start": 923,
"end": 947,
"text": "BigBen... |
asi/gpt-fr-cased-base | asi | 2022-10-20T18:32:14Z | 3,878 | 29 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"fr",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | <img src="https://raw.githubusercontent.com/AntoineSimoulin/gpt-fr/main/imgs/logo.png" width="200">
## Model description
**GPT-fr** 🇫🇷 is a GPT model for French developped by [Quantmetry](https://www.quantmetry.com/) and the [Laboratoire de Linguistique Formelle (LLF)](http://www.llf.cnrs.fr/en). We train the model... | [] |
mradermacher/Qwen3.5-27B-heretic-GGUF | mradermacher | 2026-02-27T07:27:11Z | 49,249 | 45 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:coder3101/Qwen3.5-27B-heretic",
"base_model:quantized:coder3101/Qwen3.5-27B-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-26T06:11:13Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 518,
"end": 542,
"text": "Qwen3.5-27B-heretic-GGUF",
"label": "benchmark name",
"score": 0.6100412607192993
}
] |
knowledgator/gliner-bi-base-v2.0 | knowledgator | 2026-02-24T07:56:03Z | 196 | 5 | gliner | [
"gliner",
"pytorch",
"NER",
"GLiNER",
"information extraction",
"encoder",
"entity recognition",
"modernbert",
"bi-encoder",
"scalable-ner",
"zero-shot-ner",
"token-classification",
"en",
"arxiv:2602.18487",
"base_model:BAAI/bge-base-en-v1.5",
"base_model:finetune:BAAI/bge-base-en-v1.5... | token-classification | 2025-08-24T16:36:18Z | # GLiNER-bi-Encoder: Scalable Zero-Shot Named Entity Recognition
## About
GLiNER-bi-Encoder is a novel architecture for Named Entity Recognition (NER) that combines zero-shot flexibility with industrial... | [
{
"start": 885,
"end": 893,
"text": "CrossNER",
"label": "benchmark name",
"score": 0.737822949886322
}
] |
w11wo/indonesian-roberta-base-sentiment-classifier | w11wo | 2023-05-13T04:10:11Z | 87,783 | 54 | transformers | [
"transformers",
"pytorch",
"tf",
"safetensors",
"roberta",
"text-classification",
"indonesian-roberta-base-sentiment-classifier",
"id",
"dataset:indonlu",
"arxiv:1907.11692",
"doi:10.57967/hf/2997",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"re... | text-classification | 2022-03-02T23:29:05Z | ## Indonesian RoBERTa Base Sentiment Classifier
Indonesian RoBERTa Base Sentiment Classifier is a sentiment-text-classification model based on the [RoBERTa](https://arxiv.org/abs/1907.11692) model. The model was originally the pre-trained [Indonesian RoBERTa Base](https://hf.co/flax-community/indonesian-roberta-base) ... | [
{
"start": 14,
"end": 26,
"text": "RoBERTa Base",
"label": "benchmark name",
"score": 0.8327731490135193
},
{
"start": 60,
"end": 72,
"text": "RoBERTa Base",
"label": "benchmark name",
"score": 0.8270130753517151
},
{
"start": 252,
"end": 264,
"text": "RoB... |
llmfan46/Forgotten-Abomination-36B-v4.1-uncensored-heretic | llmfan46 | 2026-03-27T22:29:34Z | 173 | 2 | null | [
"safetensors",
"mistral",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"en",
"base_model:ReadyArt/Forgotten-Abomination-36B-v4.1",
"base_model:finetune:ReadyArt/Forgotten-Abomination-36B-v4.1",
"license:... | null | 2026-03-25T14:48:50Z | <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... | [] |
lmstudio-community/rnj-1-instruct-GGUF | lmstudio-community | 2025-12-10T00:49:43Z | 13,341 | 2 | null | [
"gguf",
"base_model:EssentialAI/rnj-1-instruct",
"base_model:quantized:EssentialAI/rnj-1-instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-09T18:17:21Z | ## 💫 Community Model> rnj-1-instruct by EssentialAI
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator**: [EssentialAI](https://huggingface.co/EssentialAI)... | [] |
bartowski/Dolphin3.0-Qwen2.5-3b-GGUF | bartowski | 2025-01-05T18:21:55Z | 3,381 | 17 | null | [
"gguf",
"text-generation",
"en",
"dataset:OpenCoder-LLM/opc-sft-stage1",
"dataset:OpenCoder-LLM/opc-sft-stage2",
"dataset:microsoft/orca-agentinstruct-1M-v1",
"dataset:microsoft/orca-math-word-problems-200k",
"dataset:NousResearch/hermes-function-calling-v1",
"dataset:AI-MO/NuminaMath-CoT",
"datas... | text-generation | 2025-01-05T17:42:59Z | ## Llamacpp imatrix Quantizations of Dolphin3.0-Qwen2.5-3b
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4418">b4418</a> for quantization.
Original model: https://huggingface.co/cognitivecomputations/Dolphin3.0-Qwen2.5-3b
A... | [] |
easygoing0114/HiDream-I1-Dev_clear | easygoing0114 | 2026-01-09T14:29:29Z | 237 | 2 | null | [
"gguf",
"art",
"image-generation",
"machine-learning",
"transformer",
"license:mit",
"region:us"
] | null | 2025-10-27T21:01:15Z | # HiDream-I1-Dev_clear
- Guide (External Site): [English](https://www.ai-image-journey.com/2025/11/hidream-i1-dev-clear.html) | [Japanese](https://note.com/ai_image_journey/n/n43b4588e40c4)
- [Civitai](https://civitai.com/models/2081436?modelVersionId=2355119)
- VAE: [Z-Image_clear_vae](https://huggingface.co/easygoin... | [] |
mradermacher/Crow-9B-HERETIC-4.6-i1-GGUF | mradermacher | 2026-03-17T12:38:31Z | 998 | 1 | transformers | [
"transformers",
"gguf",
"agent",
"en",
"zh",
"ru",
"es",
"fr",
"it",
"ja",
"ko",
"af",
"de",
"ar",
"tr",
"is",
"pl",
"sw",
"sv",
"nl",
"he",
"id",
"uk",
"fa",
"pa",
"pt",
"ms",
"fi",
"el",
"dataset:crownelius/Creative_Writing_ShareGPT_Enhanced",
"dataset:m... | null | 2026-03-17T11:40:17Z | ## 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_... | [] |
prompthero/openjourney | prompthero | 2023-05-15T22:39:37Z | 9,757 | 3,187 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"deploy:azure",
"region:us"
] | text-to-image | 2022-11-08T09:44:58Z | # Openjourney is an open source Stable Diffusion fine tuned model on Midjourney images, by [PromptHero](https://prompthero.com/poolsuite-diffusion-prompts?utm_source=huggingface&utm_medium=referral)
Include **'mdjrny-v4 style'** in prompt. Here you'll find hundreds of [Openjourney prompts](https://prompthero.com/openj... | [] |
HumanLLMs/Human-Like-LLama3-8B-Instruct | HumanLLMs | 2026-01-15T22:58:02Z | 275 | 25 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"axolotl",
"dpo",
"trl",
"conversational",
"dataset:HumanLLMs/Human-Like-DPO-Dataset",
"arxiv:2501.05032",
"arxiv:2106.09685",
"arxiv:2305.18290",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:finetune:meta-llama/Me... | text-generation | 2024-10-04T19:31:18Z | <div align="center">
<img src="https://cdn-avatars.huggingface.co/v1/production/uploads/63da3d7ae697e5898cb86854/H-vpXOX6KZu01HnV87Jk5.jpeg" width="320" height="320" />
<h1>Enhancing Human-Like Responses in Large Language Models</h1>
</div>
<p align="center">
   | 🤗 <a href="https://huggingface.co/colle... | [] |
capcheck/ai-human-generated-image-detection | capcheck | 2026-02-11T04:05:29Z | 442 | 2 | null | [
"safetensors",
"vit",
"image-classification",
"vision",
"ai-detection",
"deepfake-detection",
"base_model:dima806/ai_vs_human_generated_image_detection",
"base_model:finetune:dima806/ai_vs_human_generated_image_detection",
"license:apache-2.0",
"region:us"
] | image-classification | 2026-02-11T04:05:22Z | # CapCheck AI vs Human-Generated Image Detection
Vision Transformer (ViT) fine-tuned for detecting AI-generated images.
Uses newer training data than the original CIFAKE-based model.
## Model Lineage & Attribution
This model builds on the work of others:
| Layer | Model | Author | License |
|-------|-------|-------... | [] |
TheBloke/Wizard-Vicuna-30B-Uncensored-GGUF | TheBloke | 2023-09-27T12:52:31Z | 5,556 | 59 | transformers | [
"transformers",
"gguf",
"llama",
"uncensored",
"en",
"dataset:ehartford/wizard_vicuna_70k_unfiltered",
"base_model:QuixiAI/Wizard-Vicuna-30B-Uncensored",
"base_model:quantized:QuixiAI/Wizard-Vicuna-30B-Uncensored",
"license:other",
"region:us"
] | null | 2023-09-19T23:02:39Z | <!-- 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... | [] |
mradermacher/LFM2-2.6B-i1-GGUF | mradermacher | 2025-12-10T03:21:30Z | 248 | 1 | transformers | [
"transformers",
"gguf",
"liquid",
"lfm2",
"edge",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:LiquidAI/LFM2-2.6B",
"base_model:quantized:LiquidAI/LFM2-2.6B",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-23T22:17:21Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 610,
"end": 627,
"text": "LFM2-2.6B-i1-GGUF",
"label": "benchmark name",
"score": 0.6987417936325073
},
{
"start": 1176,
"end": 1193,
"text": "LFM2-2.6B-i1-GGUF",
"label": "benchmark name",
"score": 0.6074681878089905
}
] |
mradermacher/Qwen-2.5-7B-FoVer-PRM-i1-GGUF | mradermacher | 2026-05-01T04:54:38Z | 1,622 | 1 | transformers | [
"transformers",
"gguf",
"reward model",
"en",
"base_model:ryokamoi/Qwen-2.5-7B-FoVer-PRM-old",
"base_model:quantized:ryokamoi/Qwen-2.5-7B-FoVer-PRM-old",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-05-22T17:04:25Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/ryokamoi/Qwen-2.5-7B-FoVer-PRM-old
<!-- provided-files -->
***For a convenient overview and download ... | [] |
bartowski/TheDrummer_Skyfall-31B-v4-GGUF | bartowski | 2025-09-03T18:46:25Z | 2,117 | 13 | null | [
"gguf",
"text-generation",
"base_model:TheDrummer/Skyfall-31B-v4",
"base_model:quantized:TheDrummer/Skyfall-31B-v4",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-09-03T16:16:46Z | ## Llamacpp imatrix Quantizations of Skyfall-31B-v4 by TheDrummer
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/TheDrummer/Skyfall-31B-v4
All quants mad... | [] |
Ex0bit/GLM-4.7-Flash-PRISM | Ex0bit | 2026-01-30T17:59:48Z | 1,322 | 22 | transformers | [
"transformers",
"safetensors",
"gguf",
"glm4_moe_lite",
"text-generation",
"glm4",
"prism",
"moe",
"conversational",
"en",
"zh",
"arxiv:2508.06471",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-20T04:52:57Z | []()
[]()
[]()
# GLM-4.7-Flash-PRISM
An over-refusal/propaganda free version of [ZAI's GLM-4.7-Flash](https://hug... | [
{
"start": 1448,
"end": 1461,
"text": "GLM-4.7-Flash",
"label": "benchmark name",
"score": 0.6782453060150146
},
{
"start": 1464,
"end": 1491,
"text": "Qwen3-30B-A3B-Thinking-2507",
"label": "benchmark name",
"score": 0.6114252805709839
}
] |
SamuelBang/AesCoder-4B | SamuelBang | 2026-01-27T07:08:33Z | 616 | 62 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2510.23272",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"... | text-generation | 2025-10-25T05:22:57Z | # [ICLR 2026] Code Aesthetics with Agentic Reward Feedback
<div align="center">
<a href='https://bangx7.github.io/code-aesthetics/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>
<a href="https://huggingface.co/SamuelBang/AesCoder-4B"><img alt="Hugging Face"
src="https://img.shields.io/badge/%F0%... | [] |
techwithsergiu/Qwen3.5-text-9B-bnb-4bit | techwithsergiu | 2026-03-17T16:45:12Z | 1,072 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5_text",
"text-generation",
"techwithsergiu",
"conversational",
"base_model:techwithsergiu/Qwen3.5-text-9B",
"base_model:quantized:techwithsergiu/Qwen3.5-text-9B",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"bitsandbytes",
"region:us"
] | text-generation | 2026-03-06T10:29:24Z | # Qwen3.5-text-9B-bnb-4bit
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
BNB NF4 4-bit quantization of [techwithsergiu/Qwen3.5-text-9B](https://huggingface.co/techwithsergiu/Qwen3.5-text-9B) —
a text-only derivative of [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-... | [] |
superb/wav2vec2-base-superb-er | superb | 2021-11-04T16:03:36Z | 40,179 | 15 | transformers | [
"transformers",
"pytorch",
"wav2vec2",
"audio-classification",
"speech",
"audio",
"en",
"dataset:superb",
"arxiv:2105.01051",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | audio-classification | 2022-03-02T23:29:05Z | # Wav2Vec2-Base for Emotion Recognition
## Model description
This is a ported version of
[S3PRL's Wav2Vec2 for the SUPERB Emotion Recognition task](https://github.com/s3prl/s3prl/tree/master/s3prl/downstream/emotion).
The base model is [wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base), which is pretrai... | [
{
"start": 469,
"end": 475,
"text": "SUPERB",
"label": "benchmark name",
"score": 0.7617934942245483
}
] |
mradermacher/UDI-VIS-64k-Llama-3.1-8B-i1-GGUF | mradermacher | 2026-03-10T00:22:15Z | 11,431 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:HIDIVE/UDI-VIS-64k-Llama-3.1-8B",
"base_model:quantized:HIDIVE/UDI-VIS-64k-Llama-3.1-8B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-09T17:51:52Z | ## 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_... | [] |
lukey03/Qwen3.5-9B-abliterated | lukey03 | 2026-03-03T17:51:33Z | 10,043 | 41 | transformers | [
"transformers",
"safetensors",
"qwen3_5_text",
"text-generation",
"abliterated",
"uncensored",
"qwen3.5",
"qwen",
"conversational",
"en",
"arxiv:2406.11717",
"base_model:Qwen/Qwen3.5-9B",
"base_model:finetune:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-03T08:59:51Z | # Qwen3.5-9B-abliterated
This is a fully uncensored version of [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B) with **all refusal behavior removed** using a two-stage approach:
1. **Orthogonal projection abliteration** (3 passes) — removes the refusal direction from weight matrices ([Arditi et al., 2024](ht... | [] |
lyf/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-NVFP4 | lyf | 2026-04-25T07:07:08Z | 1,427 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"qwen3.6",
"nvfp4",
"compressed-tensors",
"quantized",
"vllm",
"blackwell",
"rtx-5090",
"sm120",
"moe",
"multimodal",
"agentic",
"tool-calling",
"coding",
"uncensored",
"conversational",
"base_model:HauhauCS/Qw... | image-text-to-text | 2026-04-21T00:11:56Z | # Qwen3.6 35B A3B HauhauCS Uncensored NVFP4
Uncensored Qwen3.6 35B A3B MoE quantized to NVFP4 `compressed-tensors` for vLLM on NVIDIA Blackwell / RTX 5090.
- **35B total / 3B active MoE**
- **HauhauCS Aggressive uncensored source**
- **Conservative NVFP4 profile**: linear attention and MTP kept in bf16 for quality
- ... | [
{
"start": 1142,
"end": 1162,
"text": "max-model-len 131072",
"label": "evaluation metric",
"score": 0.7884966731071472
},
{
"start": 1752,
"end": 1772,
"text": "max-model-len 131072",
"label": "evaluation metric",
"score": 0.8011910915374756
}
] |
mradermacher/GutenOCR-3B-GGUF | mradermacher | 2026-03-12T22:41:47Z | 247 | 1 | transformers | [
"transformers",
"gguf",
"ocr",
"vision",
"qwen2.5-vl",
"pdf",
"document-understanding",
"en",
"base_model:rootsautomation/GutenOCR-3B",
"base_model:quantized:rootsautomation/GutenOCR-3B",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-23T14:24:05Z | ## 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... | [] |
TomoroAI/tomoro-colqwen3-embed-4b | TomoroAI | 2025-12-07T05:46:42Z | 52,865 | 23 | transformers | [
"transformers",
"safetensors",
"colqwen3",
"feature-extraction",
"text",
"image",
"video",
"multimodal-embedding",
"vidore",
"colpali",
"multilingual-embedding",
"visual-document-retrieval",
"custom_code",
"multilingual",
"arxiv:2407.01449",
"base_model:Qwen/Qwen3-VL-4B-Instruct",
"b... | visual-document-retrieval | 2025-11-25T13:46:14Z | # TomoroAI/tomoro-colqwen3-embed-4b
## ⚡ Executive Summary
**TomoroAI/tomoro-colqwen3-embed-4b** is a state-of-the-art [ColPali](https://arxiv.org/abs/2407.01449)-style multimodal embedding model. It maps text queries, visual documents (images, PDFs) or short videos into aligned multi-vector embeddings.
Built by mer... | [] |
facebook/wav2vec2-base-960h | facebook | 2022-11-14T21:37:23Z | 1,256,619 | 394 | transformers | [
"transformers",
"pytorch",
"tf",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"en",
"dataset:librispeech_asr",
"arxiv:2006.11477",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | automatic-speech-recognition | 2022-03-02T23:29:05Z | # Wav2Vec2-Base-960h
[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
The base model pretrained and fine-tuned on 960 hours of Librispeech on 16kHz sampled speech audio. When using the model
make sure that your speech input is also sampled at 16Khz.
[Pap... | [
{
"start": 899,
"end": 902,
"text": "WER",
"label": "evaluation metric",
"score": 0.7075962424278259
},
{
"start": 1215,
"end": 1218,
"text": "WER",
"label": "evaluation metric",
"score": 0.6827056407928467
}
] |
mradermacher/DarkIdol-Aria-12B-i1-GGUF | mradermacher | 2026-03-07T07:13:26Z | 3,367 | 1 | transformers | [
"transformers",
"gguf",
"roleplay",
"sillytavern",
"idol",
"youtube",
"google",
"pytorch",
"DarkIdol",
"en",
"base_model:aifeifei798/DarkIdol-Aria-12B",
"base_model:quantized:aifeifei798/DarkIdol-Aria-12B",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conversatio... | null | 2026-03-07T06:23:52Z | ## 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": 467,
"end": 484,
"text": "DarkIdol-Aria-12B",
"label": "benchmark name",
"score": 0.6703301668167114
},
{
"start": 621,
"end": 646,
"text": "DarkIdol-Aria-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.7522739768028259
},
{
"start": 720,
"end":... |
llmfan46/Omega-Evolution-27B-v2.0-ultra-uncensored-heretic-GGUF | llmfan46 | 2026-04-04T12:28:18Z | 2,164 | 2 | null | [
"gguf",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"Other License",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"base_model:ReadyArt/Omega-Evolution-27B-v2.0",
"base_model:finetune:ReadyArt/Omega-Evolution-27B-v2.0",
"license:apache-2.0",
"endpo... | null | 2026-03-27T00:05:26Z | <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... | [] |
EVA-UNIT-01/EVA-Qwen3-Next-v0.0 | EVA-UNIT-01 | 2026-02-27T01:03:09Z | 173 | 9 | null | [
"safetensors",
"qwen3_next",
"en",
"dataset:EVA-UNIT-01/Lilith-v0.3",
"base_model:Qwen/Qwen3-Coder-Next-Base",
"base_model:finetune:Qwen/Qwen3-Coder-Next-Base",
"license:apache-2.0",
"region:us"
] | null | 2026-02-24T20:45:16Z | **EVA Qwen3-Next v0.0**
Experimental RP/story full-parameter finetune of Qwen3-Coder-Next-Base, on refined version of EVA Gen 0.0 data. While this model may be not as smart as original Qwen3-Next (due to being a SFT-only checkpoint, trained from base model), we hope it will compensate with much better creativity, and ... | [] |
mradermacher/Qwen3-14B-Uncensored-i1-GGUF | mradermacher | 2025-07-11T03:17:27Z | 2,045 | 3 | transformers | [
"transformers",
"gguf",
"generated_from_trainer",
"en",
"dataset:Guilherme34/uncensor",
"base_model:nicoboss/Qwen3-14B-Uncensored",
"base_model:quantized:nicoboss/Qwen3-14B-Uncensored",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-05-08T00:02:36Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/nicoboss/Qwen3-14B-Uncensored
<!-- provided-files -->
***For a convenient overview and download list,... | [
{
"start": 383,
"end": 411,
"text": "Qwen3-14B-Uncensored-i1-GGUF",
"label": "benchmark name",
"score": 0.6102639436721802
}
] |
AesSedai/GLM-4.7-GGUF | AesSedai | 2026-05-01T21:28:19Z | 173 | 13 | null | [
"gguf",
"base_model:zai-org/GLM-4.7",
"base_model:quantized:zai-org/GLM-4.7",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-22T22:09:05Z | This repo contains specialized MoE-quants for GLM-4.7. The idea being that given the huge size of the FFN tensors compared to the rest of the tensors in the model, it should be possible to achieve a better quality while keeping the overall size of the entire model smaller compared to a similar naive quantization. To th... | [] |
mradermacher/Gemma-2-9B-Uncensored-GGUF | mradermacher | 2024-12-13T00:51:19Z | 457 | 3 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:themex1380/Gemma-2-9B-Uncensored",
"base_model:quantized:themex1380/Gemma-2-9B-Uncensored",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-12-12T20:42:21Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/themex1380/Gemma-2-9B-Uncensored
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co... | [] |
prithivMLmods/MegaScience-Qwen-GGUF | prithivMLmods | 2025-08-21T04:41:24Z | 103 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"text-generation",
"en",
"dataset:MegaScience/MegaScience",
"base_model:MegaScience/Qwen2.5-1.5B-MegaScience",
"base_model:quantized:MegaScience/Qwen2.5-1.5B-MegaScience",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversat... | text-generation | 2025-08-07T07:23:25Z | # **MegaScience-Qwen-GGUF**
> MegaScience-Qwen models are a series of large language models based on the Qwen3 and Qwen2.5 architectures, meticulously fine-tuned on the MegaScience dataset to advance scientific reasoning in AI. This dataset blends over 1.25 million high-quality, university-level scientific questions a... | [] |
prithivMLmods/Qwen3-VisionCaption-2B-GGUF | prithivMLmods | 2025-11-29T12:10:52Z | 1,067 | 9 | transformers | [
"transformers",
"gguf",
"qwen3_vl",
"text-generation-inference",
"image-caption",
"abliterated",
"uncensored",
"llama.cpp",
"image-text-to-text",
"en",
"zh",
"dataset:prithivMLmods/Caption3o-Opt-v2",
"dataset:prithivMLmods/blip3o-caption-mini-arrow",
"base_model:prithivMLmods/Qwen3-VisionC... | image-text-to-text | 2025-11-28T14:03:44Z | # **Qwen3-VisionCaption-2B-GGUF**
> Qwen3-VisionCaption-2B is an abliterated v1.0 variant fine-tuned by prithivMLmods from [Qwen3-VL-2B-Instruct-abliterated-v1](https://huggingface.co/prithivMLmods/Qwen3-VL-2B-Instruct-abliterated-v1), specifically engineered for seamless, high-precision image captioning and uncensore... | [] |
Jackrong/Gemopus-4-26B-A4B-it-GGUF | Jackrong | 2026-04-11T01:04:32Z | 9,137 | 29 | null | [
"gguf",
"gemma4",
"gemma",
"instruction-tuned",
"reasoning",
"alignment",
"text-generation",
"en",
"zh",
"ko",
"ja",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-04-09T08:27:21Z | # 🌟 Gemopus-4-26B-A4B-it
> [!NOTE]
> **Gemopus** is an attempt at fine-tuning Gemma 4 with a core philosophy of "stability first".
>
> While preserving the original reasoning order of **Gemma 4** as much as possible, we conducted targeted refinements for answer quality, structure, clarity, and consistency.
>
> **🍎... | [] |
brandonbeiler/InternVL3_5-GPT-OSS-20B-A4B-Preview-FP8-Dynamic | brandonbeiler | 2025-08-30T15:58:02Z | 496 | 2 | null | [
"safetensors",
"internvl_chat",
"fp8",
"quantization",
"dynamic",
"vision-language",
"multimodal",
"vllm",
"llm-compressor",
"internvl3.5",
"image-text-to-text",
"conversational",
"custom_code",
"en",
"zh",
"base_model:OpenGVLab/InternVL3_5-GPT-OSS-20B-A4B-Preview",
"base_model:quant... | image-text-to-text | 2025-08-27T16:55:49Z | # 🔥 InternVL3_5-GPT-OSS-20B-A4B-Preview-FP8-Dynamic 🔥
This is a **fp8 dynamic (w8a8)** version of [OpenGVLab/InternVL3_5-GPT-OSS-20B-A4B-Preview](https://huggingface.co/OpenGVLab/InternVL3_5-GPT-OSS-20B-A4B-Preview), optimized for high-performance inference with vLLM.
The model utilizes **fp8 dynamic (w8a8)** for op... | [] |
DrDeek/Qwen3-Coder-30B-A3B-Instruct-Q4_K_M-GGUF | DrDeek | 2025-08-11T05:50:14Z | 100 | 1 | 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 | 2025-08-11T05:48:59Z | # DrDeek/Qwen3-Coder-30B-A3B-Instruct-Q4_K_M-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... | [] |
google/vit-huge-patch14-224-in21k | google | 2024-02-14T13:43:41Z | 26,512 | 22 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"vit",
"image-feature-extraction",
"vision",
"dataset:imagenet-21k",
"arxiv:2010.11929",
"arxiv:2006.03677",
"license:apache-2.0",
"region:us"
] | image-feature-extraction | 2022-03-02T23:29:05Z | # Vision Transformer (huge-sized model)
Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224. It was introduced in the paper [An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale](https://arxiv.org/abs/2010.11929) by Dosovitskiy et ... | [] |
mradermacher/LocoOperator-4B-GGUF | mradermacher | 2026-02-24T05:03:34Z | 946 | 7 | transformers | [
"transformers",
"gguf",
"code",
"agent",
"tool-calling",
"distillation",
"qwen3",
"llama-cpp",
"en",
"base_model:LocoreMind/LocoOperator-4B",
"base_model:quantized:LocoreMind/LocoOperator-4B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-24T00:52:33Z | ## 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": 363,
"end": 378,
"text": "LocoOperator-4B",
"label": "benchmark name",
"score": 0.6296847462654114
},
{
"start": 515,
"end": 535,
"text": "LocoOperator-4B-GGUF",
"label": "benchmark name",
"score": 0.6898616552352905
},
{
"start": 1137,
"end": 1152,... |
LiquidAI/LFM2-350M-PII-Extract-JP | LiquidAI | 2026-03-30T16:17:57Z | 904 | 54 | transformers | [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"conversational",
"ja",
"arxiv:2511.23404",
"base_model:LiquidAI/LFM2-350M",
"base_model:finetune:LiquidAI/LFM2-350M",
"license:other",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-09-30T07:08:56Z | <center>
<div style="text-align: center;">
<img
src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png"
alt="Liquid AI"
style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
/>
</div>
<... | [] |
internlm/internlm3-8b-instruct | internlm | 2025-02-11T09:53:14Z | 40,432 | 230 | null | [
"safetensors",
"internlm3",
"text-generation",
"conversational",
"custom_code",
"arxiv:2403.17297",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-01-13T12:25:43Z | # InternLM
<div align="center">
<img src="https://github.com/InternLM/InternLM/assets/22529082/b9788105-8892-4398-8b47-b513a292378e" width="200"/>
<div> </div>
<div align="center">
<b><font size="5">InternLM</font></b>
<sup>
<a href="https://internlm.intern-ai.org.cn/">
<i><font size... | [] |
nvidia/Gemma-4-31B-IT-NVFP4 | nvidia | 2026-05-01T08:45:55Z | 2,061,526 | 437 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"gemma4",
"nvidia",
"ModelOpt",
"Gemma-4-31B-IT",
"lighthouse",
"quantized",
"NVFP4",
"text-generation",
"conversational",
"base_model:google/gemma-4-31B-it",
"base_model:quantized:google/gemma-4-31B-it",
"license:other",
"modelopt",
"deploy:azure",
... | text-generation | 2026-04-02T16:47:30Z | # Model Overview
## Description:
Gemma 4 31B IT is an open multimodal model built by Google DeepMind that handles text and image inputs, can process video as sequences of frames, and generates text output. It is designed to deliver frontier-level performance for reasoning, agentic workflows, coding, and multimodal und... | [] |
mradermacher/Aes-R1-GGUF | mradermacher | 2026-01-07T08:31:03Z | 724 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:ssssmark/AesCoT",
"base_model:ssssmark/Aes-R1",
"base_model:quantized:ssssmark/Aes-R1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-07T06:31:41Z | ## 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": 504,
"end": 515,
"text": "Aes-R1-GGUF",
"label": "benchmark name",
"score": 0.6557098031044006
},
{
"start": 1074,
"end": 1085,
"text": "Aes-R1-GGUF",
"label": "benchmark name",
"score": 0.6213476061820984
}
] |
cyberdelia/CyberRealisticPony | cyberdelia | 2026-01-30T20:37:29Z | 13,910 | 101 | diffusers | [
"diffusers",
"stable-diffusion",
"sdxl",
"text-to-image",
"photorealistic",
"cyberrealistic",
"pony",
"image-generation",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | 2024-05-09T10:12:22Z | # CyberRealistic Pony
**CyberRealistic Pony** is the awesome Pony Diffusion with some CyberRealistic elements.
---
## ✨ Features
- **Photorealism**: Generates highly detailed and realistic pony images, capturing intricate textures and lighting.
- **Ease of Use**: Achieves impressive results with straightforward pro... | [
{
"start": 1082,
"end": 1089,
"text": "score_9",
"label": "evaluation metric",
"score": 0.6256135702133179
},
{
"start": 1091,
"end": 1101,
"text": "score_8_up",
"label": "evaluation metric",
"score": 0.641009509563446
},
{
"start": 1103,
"end": 1113,
"tex... |
lightonai/LightOnOCR-1B-1025 | lightonai | 2026-02-20T17:10:17Z | 173,036 | 246 | transformers | [
"transformers",
"safetensors",
"mistral3",
"text-generation",
"ocr",
"document-understanding",
"vision-language",
"pdf",
"tables",
"forms",
"image-to-text",
"en",
"fr",
"de",
"es",
"it",
"nl",
"pt",
"sv",
"da",
"arxiv:2601.14251",
"arxiv:2412.13663",
"license:apache-2.0",... | image-to-text | 2025-10-20T10:33:44Z | <div align="center">
<img src="lightonocr-banner.png" alt="LightOn OCR-1B Banner" width="600"/>
</div>
> [!NOTE]
> 🚀 **LightOnOCR-2 is now available and state-of-the-art on [OlmOCR-bench](https://huggingface.co/datasets/allenai/olmOCR-bench)**, with new image detection variants!
> Check it out here: **[lightonai/Li... | [] |
agentscope-ai/QwenPaw-Flash-2B | agentscope-ai | 2026-04-17T02:29:54Z | 113 | 5 | null | [
"safetensors",
"qwen3_5",
"en",
"zh",
"base_model:Qwen/Qwen3.5-2B",
"base_model:finetune:Qwen/Qwen3.5-2B",
"license:apache-2.0",
"region:us"
] | null | 2026-03-30T13:42:02Z | # QwenPaw-Flash-2B
**QwenPaw-Flash** is a lightweight model deeply optimized for the QwenPaw autonomous agent scenario. Since its training phase, the model has been specifically refined for QwenPaw tasks, delivering enhanced agentic performance in tool invocation, command execution, memory management, and multi-step pl... | [] |
lmstudio-community/Llama-4-Scout-17B-16E-Instruct-GGUF | lmstudio-community | 2025-06-24T16:07:24Z | 2,831 | 37 | null | [
"gguf",
"facebook",
"meta",
"llama",
"llama-4",
"text-generation",
"ar",
"de",
"en",
"es",
"fr",
"hi",
"id",
"it",
"pt",
"th",
"tl",
"vi",
"base_model:meta-llama/Llama-4-Scout-17B-16E-Instruct",
"base_model:quantized:meta-llama/Llama-4-Scout-17B-16E-Instruct",
"license:other"... | text-generation | 2025-04-07T18:14:30Z | ## 💫 Community Model> Llama 4 Scout 17B 16E Instruct by Meta-Llama
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator:** [meta-llama](https://huggingface.c... | [] |
cyankiwi/Qwen3-Coder-Next-AWQ-8bit | cyankiwi | 2026-03-27T19:14:54Z | 707 | 4 | transformers | [
"transformers",
"safetensors",
"qwen3_next",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3-Coder-Next",
"base_model:quantized:Qwen/Qwen3-Coder-Next",
"license:apache-2.0",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | text-generation | 2026-02-20T15:44:04Z | # Qwen3-Coder-Next
## Highlights
Today, we're announcing **Qwen3-Coder-Next**, an open-weight language model designed specifically for coding agents and local development. It features the following key enhancements:
- **Super Efficient with Significant Performance**: With only 3B activated parameters (80B total pa... | [
{
"start": 2,
"end": 18,
"text": "Qwen3-Coder-Next",
"label": "benchmark name",
"score": 0.9476189017295837
},
{
"start": 61,
"end": 77,
"text": "Qwen3-Coder-Next",
"label": "benchmark name",
"score": 0.9803330302238464
},
{
"start": 890,
"end": 901,
"text... |
mradermacher/pauper-llama3-8b-i1-GGUF | mradermacher | 2026-01-02T21:00:10Z | 163 | 2 | transformers | [
"transformers",
"gguf",
"llama3",
"pauper",
"mtg",
"magic-the-gathering",
"fine-tuned",
"lora",
"en",
"base_model:nmalinowski/pauper-llama3-8b",
"base_model:adapter:nmalinowski/pauper-llama3-8b",
"license:llama3",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-02T19:34:32Z | ## 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": 620,
"end": 644,
"text": "pauper-llama3-8b-i1-GGUF",
"label": "benchmark name",
"score": 0.6111409664154053
}
] |
calcuis/sd3.5-large-turbo | calcuis | 2024-10-29T18:44:38Z | 206 | 6 | null | [
"gguf",
"stable-diffusion",
"gguf-comfy",
"image-to-text",
"en",
"base_model:stabilityai/stable-diffusion-3.5-large-turbo",
"base_model:quantized:stabilityai/stable-diffusion-3.5-large-turbo",
"doi:10.57967/hf/3376",
"license:other",
"region:us"
] | image-to-text | 2024-10-29T11:54:23Z | # GGUF quantized version of Stable Diffusion 3.5 Large Turbo
## Setup example
- drag [sd3.5_large_turbo-q4_0.gguf](https://huggingface.co/calcuis/sd3.5-large-turbo/blob/main/sd3.5_large_turbo-q4_0.gguf) (4.77GB) to > ./ComfyUI/models/unet
- drag [clip_g.safetensors](https://huggingface.co/calcuis/sd3.5-large-gguf/blob... | [] |
DFloat11/Qwen-Image-DF11 | DFloat11 | 2025-08-07T21:16:47Z | 321 | 64 | diffusers | [
"diffusers",
"safetensors",
"qwen2_5_vl",
"dfloat11",
"df11",
"lossless compression",
"70% size, 100% accuracy",
"arxiv:2504.11651",
"base_model:Qwen/Qwen-Image",
"base_model:quantized:Qwen/Qwen-Image",
"region:us"
] | null | 2025-08-04T20:23:15Z | # DFloat11 Compressed Model: `Qwen/Qwen-Image`
This is a **DFloat11 losslessly compressed** version of the original `Qwen/Qwen-Image` model. It reduces model size by **32%** compared to the original BFloat16 model, while maintaining **bit-identical outputs** and supporting **efficient GPU inference**.
🔥🔥🔥 Thanks t... | [] |
UBC-NLP/Simba-S | UBC-NLP | 2026-02-12T21:13:12Z | 170 | 4 | transformers | [
"transformers",
"safetensors",
"seamless_m4t_v2",
"automatic-speech-recognition",
"audio",
"speech",
"african-languages",
"multilingual",
"simba",
"low-resource",
"speech-recognition",
"asr",
"am",
"ar",
"tw",
"bm",
"fr",
"lg",
"ha",
"ig",
"rw",
"kg",
"ln",
"lu",
"mg"... | automatic-speech-recognition | 2025-05-18T16:05:17Z | <div align="center">
<img src="https://africa.dlnlp.ai/simba/images/VoC_simba" alt="VoC Simba Models Logo">
[](https://aclanthology.org/2025.emnlp-main.559/)
[![Official Website]... | [
{
"start": 484,
"end": 494,
"text": "SimbaBench",
"label": "benchmark name",
"score": 0.738568902015686
},
{
"start": 666,
"end": 676,
"text": "SimbaBench",
"label": "benchmark name",
"score": 0.7420915961265564
}
] |
Skywork/Skywork-Reward-V2-Llama-3.1-8B-40M | Skywork | 2025-07-06T18:15:44Z | 2,901 | 23 | transformers | [
"transformers",
"safetensors",
"llama",
"text-classification",
"arxiv:2507.01352",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:finetune:meta-llama/Llama-3.1-8B-Instruct",
"license:llama3.1",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-06-26T04:07:08Z | # Skywork-Reward-V2
<div align="center">
<img src="assets/skywork_logo.png" width="60%" alt="Skywork-Reward-V2"/>
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href="https://arxiv.org/abs/2507.01352" target="_blank">
<img alt="Paper" src="https://img.shields.io/badge/📖_Paper-Skywork--Reward--V2-... | [] |
bartowski/cerebras_MiniMax-M2-REAP-162B-A10B-GGUF | bartowski | 2025-11-19T04:06:47Z | 224 | 6 | null | [
"gguf",
"glm",
"MOE",
"pruning",
"compression",
"text-generation",
"en",
"base_model:cerebras/MiniMax-M2-REAP-162B-A10B",
"base_model:quantized:cerebras/MiniMax-M2-REAP-162B-A10B",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-11-17T15:55:12Z | ## Llamacpp imatrix Quantizations of MiniMax-M2-REAP-162B-A10B by cerebras
Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b7049">b7049</a> for quantization.
Original model: https://huggingface.co/cerebras/MiniMax-M2-REAP-162B-A1... | [] |
ValueFX9507/Tifa-DeepsexV2-7b-MGRPO-GGUF-Q8 | ValueFX9507 | 2025-03-28T18:40:15Z | 17,492 | 196 | transformers | [
"transformers",
"gguf",
"incremental-pretraining",
"sft",
"reinforcement-learning",
"roleplay",
"cot",
"zh",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | reinforcement-learning | 2025-02-15T13:30:54Z | # Tifa-DeepSexV2-7b-MGRPO
- **原始模型**：[Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
- **GGUF**: [F16](https://huggingface.co/ValueFX9507/Tifa-DeepsexV2-7b-MGRPO-GGUF-F16) | [Q8](https://huggingface.co/ValueFX9507/Tifa-DeepsexV2-7b-MGRPO-GGUF-Q8) | [Q4](https://huggingface.co/ValueFX9507/Tifa-DeepsexV2-7... | [] |
nvidia/AceReason-Nemotron-14B | nvidia | 2025-06-17T23:03:51Z | 21,305 | 97 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"nvidia",
"reasoning",
"math",
"code",
"reinforcement learning",
"pytorch",
"conversational",
"en",
"arxiv:2505.16400",
"arxiv:2506.13284",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-05-20T23:40:47Z | ---
library_name: transformers
license: other
license_name: nvidia-open-model-license
license_link: >-
https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
pipeline_tag: text-generation
language:
- en
tags:
- nvidia
- reasoning
- math
- code
- reinforcement learning
- p... | [] |
eaddario/Qwen3.5-9B-GGUF | eaddario | 2026-04-18T05:59:17Z | 4,479 | 2 | null | [
"gguf",
"quant",
"experimental",
"target_bpw",
"text-generation",
"en",
"dataset:eaddario/imatrix-calibration",
"base_model:Qwen/Qwen3.5-9B",
"base_model:quantized:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-04-10T07:16:33Z | # Experimental global target bits‑per‑weight quantization of [Qwen/Qwen3.5-9B][base]
Using **non-standard** (forked) [LLaMA C++][llm] release [b8927][llm-rel] for quantization.
Original model: [Qwen/Qwen3.5-9B][mdl]
From the original model creators:
> # Qwen3.5-9B
>
> <img width="400px" src="https://qianwen-res.oss-a... | [] |
Abhiray/Huihui-Ministral-3B-Instruct-2512-abliterated-GGUF | Abhiray | 2026-01-20T07:09:37Z | 393 | 3 | gguf | [
"gguf",
"ministral",
"mistral",
"quant",
"uncensored",
"abliterated",
"text-generation-inference",
"edge-computing",
"text-generation",
"en",
"base_model:huihui-ai/Huihui-Ministral-3-3B-Instruct-2512-abliterated",
"base_model:quantized:huihui-ai/Huihui-Ministral-3-3B-Instruct-2512-abliterated"... | text-generation | 2026-01-20T04:45:26Z | # Model Card for Huihui-Ministral-3B-Instruct-2512-abliterated-GGUF
This repository contains **GGUF Quantizations** of the [Huihui-Ministral-3B-Instruct-2512-abliterated](https://huggingface.co/huihui-ai/Huihui-Ministral-3-3B-Instruct-2512-abliterated) model.
The model is based on **Ministral 3B**, which has been **"... | [] |
5CD-AI/Vintern-1B-v2 | 5CD-AI | 2025-01-17T16:26:34Z | 656 | 81 | transformers | [
"transformers",
"safetensors",
"internvl_chat",
"feature-extraction",
"vision",
"image-text-to-text",
"conversational",
"custom_code",
"vi",
"en",
"dataset:5CD-AI/Viet-OCR-VQA",
"dataset:5CD-AI/Viet-Doc-VQA",
"dataset:5CD-AI/Viet-Doc-VQA-II",
"dataset:Vi-VLM/Vista",
"dataset:5CD-AI/Viet-... | image-text-to-text | 2024-08-09T08:56:06Z | <div align="center">
<img src="Vintern_logo.png" width="700"/>
</div>
## Vintern-1B-v2 ❄️ (Viet-InternVL2-1B-v2) - The LLaVA 🌋 Challenger
We are excited to introduce **Vintern-1B-v2** the Vietnamese 🇻🇳 multimodal model that combines the advanced Vietnamese language model [Qwen2-0.5B-Instruct](https://huggingfac... | [
{
"start": 463,
"end": 472,
"text": "CVPR 2024",
"label": "benchmark name",
"score": 0.7004827857017517
}
] |
mradermacher/Impish_Bloodmoon_12B-i1-GGUF | mradermacher | 2025-12-24T23:22:13Z | 1,832 | 6 | transformers | [
"transformers",
"gguf",
"en",
"dataset:SicariusSicariiStuff/UBW_Tapestries",
"base_model:SicariusSicariiStuff/Impish_Bloodmoon_12B",
"base_model:quantized:SicariusSicariiStuff/Impish_Bloodmoon_12B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-24T19:31:28Z | ## 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": 476,
"end": 496,
"text": "Impish_Bloodmoon_12B",
"label": "benchmark name",
"score": 0.6452805995941162
},
{
"start": 633,
"end": 661,
"text": "Impish_Bloodmoon_12B-i1-GGUF",
"label": "benchmark name",
"score": 0.7448248267173767
},
{
"start": 735,
... |
mistralai/Pixtral-Large-Instruct-2411 | mistralai | 2025-07-28T17:23:02Z | 1,863 | 432 | vllm | [
"vllm",
"mistral-common",
"en",
"fr",
"de",
"es",
"it",
"pt",
"zh",
"ja",
"ru",
"ko",
"license:other",
"region:us"
] | null | 2024-11-14T20:07:26Z | # Model Card for Pixtral-Large-Instruct-2411
Pixtral-Large-Instruct-2411 is a 124B multimodal model built on top of Mistral Large 2, i.e., [Mistral-Large-Instruct-2407](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407). Pixtral Large is the second model in our multimodal family and demonstrates frontier-le... | [] |
utter-project/EuroLLM-22B-2512 | utter-project | 2026-02-06T02:24:44Z | 2,175 | 14 | transformers | [
"transformers",
"safetensors",
"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",
"... | text-generation | 2025-11-24T20:57:02Z | # Model Card for EuroLLM-22B
This is the model card for EuroLLM-22B. You can also check the post-trained version: [EuroLLM-22B-Instruct-2515](https://huggingface.co/utter-project/EuroLLM-22B-Instruct-2512).
- **Developed by:** Instituto Superior Técnico - University of Lisbon, Instituto de Telecomunicações, Universit... | [] |
mradermacher/CapRL-Qwen3VL-4B-i1-GGUF | mradermacher | 2026-04-18T22:04:59Z | 589 | 1 | transformers | [
"transformers",
"gguf",
"multimodal",
"image caption",
"captioning",
"en",
"dataset:internlm/CapRL-2M",
"base_model:internlm/CapRL-Qwen3VL-4B",
"base_model:quantized:internlm/CapRL-Qwen3VL-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-26T12:28:31Z | ## 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": 617,
"end": 641,
"text": "CapRL-Qwen3VL-4B-i1-GGUF",
"label": "benchmark name",
"score": 0.6345471739768982
}
] |
InstaDeepAI/ChatNT | InstaDeepAI | 2025-07-09T12:15:56Z | 217 | 17 | transformers | [
"transformers",
"joblib",
"safetensors",
"ChatNT",
"feature-extraction",
"text-generation",
"custom_code",
"region:us"
] | text-generation | 2025-03-28T15:01:59Z | # ChatNT
[ChatNT](https://www.biorxiv.org/content/10.1101/2024.04.30.591835v1) is the first multimodal conversational agent designed with a deep understanding of biological sequences (DNA, RNA, proteins).
It enables users — even those with no coding background — to interact with biological data through natural langua... | [] |
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