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 |
|---|---|---|---|---|---|---|---|---|---|---|
p1atdev/dart-v2-moe-sft | p1atdev | 2024-05-11T17:27:21Z | 1,607 | 16 | transformers | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"trl",
"sft",
"optimum",
"danbooru",
"dataset:isek-ai/danbooru-tags-2024",
"base_model:p1atdev/dart-v2-moe-base",
"base_model:finetune:p1atdev/dart-v2-moe-base",
"license:apache-2.0",
"text-generation-inference",
"deploy:azure",
... | text-generation | 2024-05-06T08:39:50Z | # Dart (Danbooru Tags Transformer) v2
This model is a fine-tuned Dart (Danbooru Tags Transformer) model that generates danbooru tags.
Demo: [🤗 Space with ZERO](https://huggingface.co/spaces/p1atdev/danbooru-tags-transformer-v2)
## Model variants
|Name|Architecture|Param size|Type|
|-|-|-|-|
|[v2-moe-sft](https://h... | [] |
FlameF0X/LFM2.5-1.2B-Distilled-Claude | FlameF0X | 2026-04-09T15:44:49Z | 1,796 | 2 | transformers | [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"liquid",
"reasoning",
"cot",
"distillate",
"conversational",
"en",
"dataset:TeichAI/Claude-Opus-4.6-Reasoning-500x",
"dataset:TeichAI/Claude-Sonnet-4.6-Reasoning-1100x",
"dataset:TeichAI/claude-4.5-opus-high-reasoning-250x",
"datas... | text-generation | 2026-04-05T22:39:22Z | <div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6615494716917dfdc645c44e/IKWKAsS9DFnGoFCmYNQYs.png" alt="Liquid Claude" style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em; reading-order: 20px; border-radius: 20px;"/>... | [] |
mradermacher/Gliese-OCR-7B-Post1.0-i1-GGUF | mradermacher | 2025-12-07T20:17:46Z | 137 | 1 | transformers | [
"transformers",
"gguf",
"Document",
"VLM",
"OCR",
"VL",
"Camel",
"Openpdf",
"text-generation-inference",
"Extraction",
"Linking",
"Markdown",
"Document Digitization",
"Intelligent Document Processing (IDP)",
"Intelligent Word Recognition (IWR)",
"Optical Mark Recognition (OMR)",
"en"... | null | 2025-09-13T09:46:46Z | ## 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... | [] |
mradermacher/Qwen2.5-7B-Instruct-jailbreak-ES-GGUF | mradermacher | 2025-12-29T02:15:31Z | 1,696 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:alexwirrell/Qwen2.5-7B-Instruct-jailbreak-ES",
"base_model:quantized:alexwirrell/Qwen2.5-7B-Instruct-jailbreak-ES",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-29T01:42:24Z | ## 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... | [] |
unsloth/DeepSeek-R1-0528-Qwen3-8B-unsloth-bnb-4bit | unsloth | 2025-06-10T05:35:05Z | 3,987 | 13 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"unsloth",
"deepseek",
"qwen",
"conversational",
"arxiv:2501.12948",
"base_model:deepseek-ai/DeepSeek-R1-0528-Qwen3-8B",
"base_model:quantized:deepseek-ai/DeepSeek-R1-0528-Qwen3-8B",
"license:mit",
"text-generation-inference",
"end... | text-generation | 2025-05-29T15:02:21Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>Learn how to run DeepSeek-R1-0528 correctly - <a href="https://docs.unsloth.ai/basics/deepseek-r1-0528">Read our Guide</a>.</strong>
</p>
<p style="margin-bottom: 0;">
<em>See <a href="https://huggingface.co/collections/unsloth/deepseek-r1-all-ver... | [] |
mradermacher/Llama-3.3-8B-Casimir-v0.1-i1-GGUF | mradermacher | 2026-02-08T05:33:49Z | 219 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"llama",
"heretic",
"roleplay",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:0xA50C1A1/Llama-3.3-8B-Casimir-v0.1",
"base_model:quantized:0xA50C1A1/Llama-3.3-8B-Casimir-v0.1",
"license:llama3.3",
"endpoints_co... | null | 2026-02-08T02:15:44Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
lovedheart/Qwen3-Coder-Next-REAP-48B-A3B-GGUF | lovedheart | 2026-02-08T23:47:54Z | 3,127 | 46 | null | [
"gguf",
"text-generation-inference",
"base_model:Qwen/Qwen3-Coder-Next",
"base_model:quantized:Qwen/Qwen3-Coder-Next",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-04T08:49:56Z | 
**Qwen3-Coder-Next-REAP-48B-A3B** has the following specifications:
- **Type:** Causal Language Models
- **Number of Parameters**: 48B in total and 3B activated
- **Hidden Dimension**: 2... | [] |
facebook/sam-vit-large | facebook | 2024-01-11T19:23:46Z | 12,216 | 33 | transformers | [
"transformers",
"pytorch",
"tf",
"safetensors",
"sam",
"mask-generation",
"vision",
"arxiv:2304.02643",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | mask-generation | 2023-04-19T14:17:03Z | # Model Card for Segment Anything Model (SAM) - ViT Large (ViT-L) version
<p>
<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/sam-architecture.png" alt="Model architecture">
<em> Detailed architecture of Segment Anything Model (SAM).</em>
</p>
# Table... | [] |
nlpaueb/legal-bert-small-uncased | nlpaueb | 2022-04-28T14:43:32Z | 31,075 | 25 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"legal",
"fill-mask",
"en",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | # LEGAL-BERT: The Muppets straight out of Law School
<img align="left" src="https://i.ibb.co/p3kQ7Rw/Screenshot-2020-10-06-at-12-16-36-PM.png" width="100"/>
LEGAL-BERT is a family of BERT models for the legal domain, intended to assist legal NLP research, computational law, and legal technology applications. To pre-... | [] |
llmfan46/Qwen3.5-9B-ultra-heretic | llmfan46 | 2026-03-28T14:51:05Z | 2,809 | 15 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"conversational",
"base_model:Qwen/Qwen3.5-9B",
"base_model:finetune:Qwen/Qwen3.5-9B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-03-03T09:12:15Z | <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... | [] |
NetherlandsForensicInstitute/ARM64BERT-embedding | NetherlandsForensicInstitute | 2026-04-28T11:57:07Z | 404 | 8 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"safetensors",
"bert",
"sentence-similarity",
"feature-extraction",
"base_model:NetherlandsForensicInstitute/ARM64BERT-embedding",
"base_model:finetune:NetherlandsForensicInstitute/ARM64BERT-embedding",
"text-embeddings-inference",
"endpoints_compatible",
"reg... | sentence-similarity | 2024-03-27T09:36:05Z | # ASMSentenceTransformer based on NetherlandsForensicInstitute/ARM64BERT-embedding
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [NetherlandsForensicInstitute/ARM64BERT-embedding](https://huggingface.co/NetherlandsForensicInstitute/ARM64BERT-embedding). It maps sentences & paragraphs to... | [] |
TheBestMoldyCheese/ppo-LunarLander-v2 | TheBestMoldyCheese | 2026-03-02T08:47:06Z | 154 | 1 | stable-baselines3 | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | reinforcement-learning | 2026-03-02T08:37:36Z | # **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
```python
import gymnasium as gym
from stable_baselines3 import PPO
from stable_basel... | [
{
"start": 1445,
"end": 1463,
"text": "ppo-LunarLander-v2",
"label": "benchmark name",
"score": 0.7017274498939514
}
] |
cyankiwi/Qwen3.6-27B-AWQ-INT4 | cyankiwi | 2026-04-30T21:33:50Z | 446,266 | 42 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.6-27B",
"base_model:quantized:Qwen/Qwen3.6-27B",
"license:apache-2.0",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | image-text-to-text | 2026-04-22T18:53:06Z | <div align="center">
<img src="https://huggingface.co/buckets/cyankiwi/activation-aware-2.0/resolve/banner/cyankiwi-banner-awq-0.png">
</div>
<div align="left">
<table align="center" style="border-collapse:collapse; border:none;">
<tr style="border:none;">
<td align="right" style="border:none; padding:4p... | [] |
cerebras/MiniMax-M2.5-REAP-172B-A10B | cerebras | 2026-02-18T21:17:17Z | 942 | 25 | transformers | [
"transformers",
"safetensors",
"minimax_m2",
"text-generation",
"minimax",
"MOE",
"pruning",
"compression",
"conversational",
"custom_code",
"en",
"arxiv:2510.13999",
"base_model:MiniMaxAI/MiniMax-M2.5",
"base_model:quantized:MiniMaxAI/MiniMax-M2.5",
"license:other",
"endpoints_compati... | text-generation | 2026-02-18T21:16:52Z | <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-M2.5-REAP-172B-A10B
## ✨ Highlights
Introducing **MiniMax-M2.5-REAP-172B-A10B**, a **memory-efficient compre... | [
{
"start": 200,
"end": 227,
"text": "MiniMax-M2.5-REAP-172B-A10B",
"label": "benchmark name",
"score": 0.621042013168335
},
{
"start": 260,
"end": 287,
"text": "MiniMax-M2.5-REAP-172B-A10B",
"label": "benchmark name",
"score": 0.6178573966026306
},
{
"start": 336,... |
TheBloke/WizardLM-1.0-Uncensored-Llama2-13B-GGUF | TheBloke | 2023-09-27T12:47:41Z | 8,680 | 71 | transformers | [
"transformers",
"gguf",
"llama",
"en",
"dataset:ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split",
"base_model:QuixiAI/WizardLM-1.0-Uncensored-Llama2-13b",
"base_model:quantized:QuixiAI/WizardLM-1.0-Uncensored-Llama2-13b",
"license:llama2",
"region:us"
] | null | 2023-09-05T15:11:13Z | <!-- 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... | [] |
Mungert/GLM-ASR-Nano-2512-GGUF | Mungert | 2025-12-22T17:48:40Z | 196 | 5 | transformers | [
"transformers",
"gguf",
"automatic-speech-recognition",
"en",
"zh",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | automatic-speech-recognition | 2025-12-22T16:52:23Z | # <span style="color: #7FFF7F;">GLM-ASR-Nano-2512 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 [`e1f15b454`](https://github.com/ggerganov/llama.cpp/commit/e1f15b454fbadfddf8f1ec450bf6d3... | [] |
mradermacher/Mistral-Small-3.2-24B-Instruct-2506-Text-Only-heretic-i1-GGUF | mradermacher | 2025-12-15T13:21:37Z | 197 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:arnomatic/Mistral-Small-3.2-24B-Instruct-2506-Text-Only-heretic",
"base_model:quantized:arnomatic/Mistral-Small-3.2-24B-Instruct-2506-Text-Only-heretic",
"endpoints_compatible",
"region:us",
"imatri... | null | 2025-12-15T10:03:18Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/Huihui-LFM2-24B-A2B-abliterated-i1-GGUF | mradermacher | 2026-03-10T10:19:29Z | 2,931 | 4 | transformers | [
"transformers",
"gguf",
"liquid",
"lfm2",
"edge",
"moe",
"abliterated",
"uncensored",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"base_model:huihui-ai/Huihui-LFM2-24B-A2B-abliterated",
"base_model:quantized:huihui-ai/Huihui-LFM2-24B-A2B-abliterated",
"license:other",
"endp... | null | 2026-03-10T08:02:24Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/Nanbeige4-3B-Thinking-Ties-i1-GGUF | mradermacher | 2025-12-22T12:35:34Z | 122 | 1 | transformers | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"Nanbeige/Nanbeige4-3B-Thinking-2511",
"C10X/Nanbeige4-3B-Thinking-2511-Claude-4.5-Opus-High-Reasoning-Distill-V2-heretic",
"arnomatic/Nanbeige4-3B-Thinking-2511-heretic",
"en",
"base_model:bunnycore/Nanbeige4-3B-Thinking-Ties",
"base_... | null | 2025-12-22T09:44:48Z | ## 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": 628,
"end": 662,
"text": "Nanbeige4-3B-Thinking-Ties-i1-GGUF",
"label": "benchmark name",
"score": 0.6571202874183655
}
] |
mradermacher/Goetia-24B-v1.2-i1-GGUF | mradermacher | 2026-01-27T06:57:02Z | 132 | 1 | transformers | [
"transformers",
"gguf",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"romance",
"all genres",
"story",
"writing",
"vivid prosing",
"vivid writin... | null | 2026-01-27T03:46:04Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/Aian-14B-Instruct-21-10-2025-i1-GGUF | mradermacher | 2025-12-09T12:41:31Z | 604 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:lab-ii/Aina-14B-Instruct-21-10-2025",
"base_model:quantized:lab-ii/Aina-14B-Instruct-21-10-2025",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-22T04:48:01Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/Gemma-3-12B-Fornax-QAT-CoT-i1-GGUF | mradermacher | 2026-04-18T14:13:57Z | 172 | 1 | transformers | [
"transformers",
"gguf",
"gemma3",
"gemma",
"google",
"en",
"dataset:GeneralReasoning/GeneralThought-430K",
"dataset:Undi95/R1-RP-ShareGPT3",
"dataset:PJMixers-Dev/Gryphe-Aesir-RPG-Charcards-Opus-Mixed-split-v3-0324",
"base_model:ConicCat/Gemma-3-12B-Fornax-QAT-CoT",
"base_model:quantized:ConicCa... | null | 2025-05-05T23:32:42Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/ConicCat/Gemma-3-12B-Fornax-QAT-CoT
<!-- provided-files -->
***For a convenient overview and download... | [] |
microsoft/DialoGPT-small | microsoft | 2024-02-29T15:48:41Z | 56,490 | 144 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"gpt2",
"text-generation",
"conversational",
"arxiv:1911.00536",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2022-03-02T23:29:05Z | ## A State-of-the-Art Large-scale Pretrained Response generation model (DialoGPT)
DialoGPT is a SOTA large-scale pretrained dialogue response generation model for multiturn conversations.
The [human evaluation results](https://github.com/dreasysnail/Dialogpt_dev#human-evaluation) indicate that the response generated ... | [
{
"start": 407,
"end": 418,
"text": "Turing test",
"label": "evaluation metric",
"score": 0.7844120860099792
}
] |
mradermacher/Qwen3.5-122B-A10B-abliterated-GGUF | mradermacher | 2026-03-03T13:34:00Z | 5,542 | 1 | transformers | [
"transformers",
"gguf",
"abliterated",
"uncensored",
"pentest",
"qwen3.5",
"moe",
"en",
"base_model:Chompa1422/Qwen3.5-122B-A10B-abliterated",
"base_model:quantized:Chompa1422/Qwen3.5-122B-A10B-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-03T10:19:09Z | ## 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: -->
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static q... | [] |
RichardErkhov/Vikhrmodels_-_Vikhr-Llama-3.2-1B-Instruct-abliterated-gguf | RichardErkhov | 2024-10-26T03:27:35Z | 206 | 3 | null | [
"gguf",
"arxiv:2405.13929",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-10-26T03:04:22Z | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Vikhr-Llama-3.2-1B-Instruct-abliterated - GGUF
- Model creator: https://huggingface.co/Vikhrmodels/
- Original model: https:... | [] |
TylorShine/wavlm-base-plus-hiragana-ctc-v2 | TylorShine | 2026-03-09T13:59:40Z | 107 | 2 | transformers | [
"transformers",
"safetensors",
"dual_ctc",
"feature-extraction",
"automatic-speech-recognition",
"ctc",
"wavlm",
"japanese",
"hiragana",
"phoneme",
"custom_code",
"ja",
"arxiv:2110.13900",
"base_model:microsoft/wavlm-base-plus",
"base_model:finetune:microsoft/wavlm-base-plus",
"license... | automatic-speech-recognition | 2026-03-09T13:59:03Z | # wavlm-base-plus-hiragana-ctc
WavLMをベースに、ひらがなと音素のデュアルCTC（Dual CTC）ヘッドを搭載した軽量な日本語音声認識（ASR）モデルです。
自己回帰デコーダを持たないため繰り返すハルシネーションを起こさず、ひらがな（および音素）のみを安定して出力します。
前バージョンの [`wavlm-base-plus-hiragana-ctc`](https://huggingface.co/TylorShine/wavlm-base-plus-hiragana-ctc) から、音素CTCとかなCTCのHead両方をMLPに変更しています。
このモデルはカスタムアーキ... | [] |
kakaocorp/kanana-2-30b-a3b-base | kakaocorp | 2026-01-14T14:06:42Z | 135 | 29 | transformers | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-18T07:41:45Z | <p align="center">
<img src="./assets/logo/kanana.png" width="60%" alt="Kanana">
</p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/kakaocorp/kanana-2">Kanana-2 Models</a>   |  
📕 <a href="https://tech.kakao.com/posts/804">Kanana-2 Blog</a>  
</p>
<br><br>
# Kanana-2 Highl... | [] |
cjvt/GaMS-9B-Instruct-Nemotron | cjvt | 2026-01-18T22:56:04Z | 127 | 1 | null | [
"safetensors",
"gemma2",
"text-generation",
"conversational",
"sl",
"en",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v1",
"dataset:cjvt/GaMS-Nemotron-Chat",
"base_model:cjvt/GaMS-9B-Instruct",
"base_model:finetune:cjvt/GaMS-9B-Instruct",
"license:gemma",
"region:us"
] | text-generation | 2025-08-22T09:45:28Z | # Model Card for GaMS-9B-Instruct-Nemotron
**GaMS-9B-Instruct-Nemotron** is a variant of GaMS-9B-Instruct, further trained with supervised fine-tuning (SFT) on a curated subset of the `chat` part of [*nvidia/Nemotron-Post-Training-Dataset-v1*](https://huggingface.co/datasets/nvidia/Nemotron-Post-Training-Dataset-v1).
... | [] |
StentorLabs/Stentor-30M-Instruct | StentorLabs | 2026-02-22T06:53:29Z | 126 | 1 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"small-language-model",
"efficient",
"edge-deployment",
"tiny-model",
"30m-parameters",
"safety-tuning",
"instruction-following",
"chat",
"lora",
"peft",
"beavertails",
"dolly",
"conversational",
"en",
"dataset:PKU-Alignm... | text-generation | 2026-02-21T22:08:23Z | # Stentor-30M-Instruct
... | [] |
mradermacher/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B-GGUF | mradermacher | 2025-11-06T02:36:26Z | 578 | 1 | transformers | [
"transformers",
"gguf",
"en",
"fr",
"de",
"es",
"it",
"pt",
"ru",
"zh",
"ja",
"base_model:grimjim/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B",
"base_model:quantized:grimjim/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B",
"license:apache-2.0",
... | null | 2025-11-05T04:54:09Z | ## 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: -->
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static q... | [] |
mradermacher/Cthulhu-24B-v1.2-GGUF | mradermacher | 2025-08-06T09:18:47Z | 151 | 4 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-05T23:51:19Z | ## 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 qu... | [] |
mradermacher/Qwen3-VL-REAP-24B-A3B-GGUF | mradermacher | 2025-11-26T08:43:12Z | 134 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:OpenMOSE/Qwen3-VL-REAP-24B-A3B",
"base_model:quantized:OpenMOSE/Qwen3-VL-REAP-24B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-26T07:51:35Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 361,
"end": 382,
"text": "Qwen3-VL-REAP-24B-A3B",
"label": "benchmark name",
"score": 0.6201619505882263
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"text": "Qwen3-VL-REAP-24B-A3B-GGUF",
"label": "benchmark name",
"score": 0.6819518804550171
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{
"start": 1281,
... |
prism-ml/Ternary-Bonsai-4B-mlx-2bit | prism-ml | 2026-04-18T20:48:31Z | 495 | 6 | mlx | [
"mlx",
"safetensors",
"qwen3",
"ternary",
"1.58-bit",
"apple-silicon",
"on-device",
"prismml",
"bonsai",
"text-generation",
"conversational",
"base_model:prism-ml/Ternary-Bonsai-4B-unpacked",
"base_model:finetune:prism-ml/Ternary-Bonsai-4B-unpacked",
"license:apache-2.0",
"eval-results",... | text-generation | 2026-04-13T21:46:30Z | <p align="center">
<img src="./assets/bonsai-logo.svg" width="280" alt="Bonsai">
</p>
<p align="center">
<a href="https://prismml.com"><b>Prism ML Website</b></a> |
<a href="https://github.com/PrismML-Eng/Bonsai-demo/blob/main/ternary-bonsai-8b-whitepaper.pdf"><b>White Paper</b></a> |
<... | [
{
"start": 483,
"end": 509,
"text": "Ternary-Bonsai-4B-mlx-2bit",
"label": "benchmark name",
"score": 0.6085262894630432
},
{
"start": 839,
"end": 860,
"text": "attention projections",
"label": "evaluation metric",
"score": 0.6880784034729004
},
{
"start": 862,
... |
nvidia/NVIDIA-Nemotron-Nano-9B-v2-NVFP4 | nvidia | 2026-01-08T19:23:43Z | 11,462 | 21 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"nvidia",
"pytorch",
"conversational",
"custom_code",
"en",
"es",
"fr",
"de",
"it",
"ja",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v1",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v2",
"dataset:nvidia/Nemotron-P... | text-generation | 2025-10-07T03:12:52Z | # NVIDIA-Nemotron-Nano-9B-v2-NVFP4
**Model Developer:** NVIDIA Corporation
**Model Dates:**
June 2025 \- August 2025
**Data Freshness:**
September 2024
The pretraining data has a cutoff date of September 2024.
## Model Overview
NVIDIA-Nemotron-Nano-9B-v2-NVFP4 is a quantized version of [NVIDIA-Nemotron-Nano-9B-... | [] |
nvidia/GR00T-N1.6-3B | nvidia | 2025-12-15T23:34:21Z | 42,686 | 77 | null | [
"safetensors",
"Gr00tN1d6",
"robotics",
"dataset:nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim",
"arxiv:2504.15271",
"arxiv:2410.24164",
"region:us"
] | robotics | 2025-12-01T23:33:22Z | <div align="center">
<a href="https://github.com/NVIDIA/Isaac-GR00T">
<img src="https://cdn-uploads.huggingface.co/production/uploads/67b8da81d01134f89899b4a7/8bFQa2ZIGCsOQQ2ho2N_U.png">
</a>
<div align="center">
<a href="https://github.com/NVIDIA/Isaac-GR00T">
<img src="https://img.shields.io/badge/Git... | [] |
animeshakr/oct-retinal-weights | animeshakr | 2026-04-14T10:44:40Z | 298 | 1 | keras | [
"keras",
"onnx",
"medical",
"computer-vision",
"ophthalmology",
"vision-transformer",
"edge-deployment",
"model-compression",
"onnxruntime",
"clinical-safety",
"image-classification",
"en",
"doi:10.57967/hf/8146",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-classification | 2026-03-18T08:45:25Z | # 👁️ OCT Retinal AI — Hybrid CNN-Transformer Weights
Automated classification of retinal OCT scans into four disease categories: CNV, DME, DRUSEN, and NORMAL. Built as part of an MSc dissertation at Newcastle University (2025–26), with a focus on clinical safety and edge deployment.
**Live demo:** [🤗 HuggingFace Sp... | [
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"text": "Macro AUC-ROC",
"label": "evaluation metric",
"score": 0.7795371413230896
},
{
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"end": 1183,
"text": "Macro AUC-ROC",
"label": "evaluation metric",
"score": 0.8136762976646423
}
] |
bartowski/open-thoughts_OpenThinker-Agent-v1-GGUF | bartowski | 2025-12-08T15:33:32Z | 215 | 1 | null | [
"gguf",
"agents",
"terminal",
"code",
"software-engineering",
"text-generation",
"dataset:OpenThoughts-Agent-v1-SFT",
"dataset:OpenThoughts-Agent-v1-RL",
"base_model:open-thoughts/OpenThinker-Agent-v1",
"base_model:quantized:open-thoughts/OpenThinker-Agent-v1",
"license:apache-2.0",
"endpoints... | text-generation | 2025-12-08T14:56:45Z | ## Llamacpp imatrix Quantizations of OpenThinker-Agent-v1 by open-thoughts
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/b7306">b7306</a> for quantization.
Original model: https://huggingface.co/open-thoughts/OpenThinker-Agent-... | [] |
mradermacher/XORTRON.CriminalComputing.LARGE.2026.3-i1-GGUF | mradermacher | 2026-02-24T15:07:57Z | 4,099 | 8 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"fr",
"de",
"es",
"it",
"pt",
"zh",
"ja",
"ru",
"ko",
"base_model:darkc0de/XORTRON.CriminalComputing.LARGE.2026.3",
"base_model:quantized:darkc0de/XORTRON.CriminalComputing.LARGE.2026.3",
"license... | null | 2026-02-23T17:19:15Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
mradermacher/FinSenti-Qwen3.5-4B-GGUF | mradermacher | 2026-04-20T09:26:33Z | 704 | 1 | transformers | [
"transformers",
"gguf",
"finance",
"financial-sentiment",
"sentiment-analysis",
"chain-of-thought",
"reasoning",
"grpo",
"sft",
"lora",
"finsenti",
"en",
"dataset:Ayansk11/FinSenti-Dataset",
"base_model:Ayansk11/FinSenti-Qwen3.5-4B",
"base_model:adapter:Ayansk11/FinSenti-Qwen3.5-4B",
"... | null | 2026-04-11T06:27:27Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
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"end": 380,
"text": "FinSenti-Qwen3.5-4B",
"label": "benchmark name",
"score": 0.7183338403701782
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{
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"end": 541,
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"label": "benchmark name",
"score": 0.7530724406242371
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{
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"end... |
mradermacher/RoboInter-VLM_qwenvl25_3b-i1-GGUF | mradermacher | 2026-02-14T10:11:07Z | 211 | 1 | transformers | [
"transformers",
"gguf",
"robotics",
"vision-language-action-model",
"vision-language-model",
"en",
"base_model:InternRobotics/RoboInter-VLM_qwenvl25_3b",
"base_model:quantized:InternRobotics/RoboInter-VLM_qwenvl25_3b",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"co... | robotics | 2026-02-14T09:25:41Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
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"label": "benchmark name",
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"text": "RoboInter-VLM_qwenvl25_3b-GGUF",
"label": "benchmark name",
"score": 0.6285615563392639
},
{
"st... |
mudler/Huihui3.5-67B-A3B-APEX-GGUF | mudler | 2026-04-27T13:59:53Z | 6,157 | 1 | null | [
"gguf",
"quantized",
"apex",
"moe",
"mixture-of-experts",
"qwen3.5",
"base_model:huihui-ai/Huihui3.5-67B-A3B",
"base_model:quantized:huihui-ai/Huihui3.5-67B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-06T10:04:19Z | <!-- apex-banner-v2 -->
<div style="background-color: #f59e0b; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
<h2 style="color: white; margin: 0 0 10px 0;">⚡ Each donation = another big MoE quantized</h2>
<p style="font-size: 18px; margin: 0 0 15px 0;">I host <b>25+ free APEX Mo... | [
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"text": "APEX",
"label": "benchmark name",
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"text": "APEX",
"label": "benchmark name",
"score": 0.6842774748802185
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] |
mradermacher/Qwen3-VisionCaption-2B-i1-GGUF | mradermacher | 2025-12-04T05:06:35Z | 323 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"image-caption",
"abliterated",
"uncensored",
"llama.cpp",
"en",
"zh",
"dataset:prithivMLmods/blip3o-caption-mini-arrow",
"dataset:prithivMLmods/Caption3o-Opt-v2",
"base_model:prithivMLmods/Qwen3-VisionCaption-2B",
"base_model:quantized:pr... | null | 2025-11-29T03:26:37Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
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"text": "Qwen3-VisionCaption-2B-GGUF",
"label": "benchmark name",
"score": 0.600352942943573
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] |
strangervisionhf/PaddleOCR-VL-1.5-hf-transformers-v5.2.0.dev0 | strangervisionhf | 2026-02-12T11:13:52Z | 280 | 1 | transformers | [
"transformers",
"safetensors",
"paddleocr_vl",
"image-text-to-text",
"ERNIE4.5",
"PaddleOCR",
"PaddlePaddle",
"image-to-text",
"ocr",
"document-parse",
"layout",
"table",
"formula",
"chart",
"seal",
"spotting",
"conversational",
"en",
"base_model:PaddlePaddle/PaddleOCR-VL-1.5",
... | image-text-to-text | 2026-02-12T03:02:58Z | > [!IMPORTANT]
> This is a copy of the model weights from the [https://huggingface.co/PaddlePaddle/PaddleOCR-VL-1.5](https://huggingface.co/PaddlePaddle/PaddleOCR-VL-1.5) model. These weights cannot be used for other purposes. If you wish to do so, please visit the original model page.
[![Open Quick Demo](https://img.... | [] |
meituan-longcat/LongCat-AudioDiT-1B | meituan-longcat | 2026-04-03T10:51:36Z | 820 | 27 | null | [
"safetensors",
"audiodit",
"zh",
"en",
"license:mit",
"region:us"
] | null | 2026-03-30T03:25:12Z | # LongCat-AudioDiT: High-Fidelity Diffusion Text-to-Speech in the Waveform Latent Space
<div align="center">
<img src="./LongCat-AudioDiT.svg" width="45%" alt="LongCat-AudioDiT" />
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href="https://github.com/meituan-longcat/LongCat-AudioDiT/blob/main/Lon... | [] |
Mindcraft-CE/Andy-4.2-Air | Mindcraft-CE | 2026-04-29T01:13:00Z | 110 | 3 | null | [
"safetensors",
"qwen3_5",
"minecraft",
"mindcraft",
"agentic",
"tool_use",
"self-play",
"en",
"base_model:Qwen/Qwen3.5-4B",
"base_model:finetune:Qwen/Qwen3.5-4B",
"region:us"
] | null | 2026-03-26T20:54:26Z | 
The Mindcraft CE team introduces **Andy-4.2 Air**, noted as **the best** local AI you can use to play Minecraft with. Thinking faster than Andy-4.1, being able to carry out more actions than An... | [] |
Ex0bit/Elbaz-OLMo-3-32B-Think-Abliterated | Ex0bit | 2025-11-30T04:24:10Z | 111 | 2 | transformers | [
"transformers",
"gguf",
"olmo",
"olmo-3",
"abliterated",
"uncensored",
"llama-cpp",
"ollama",
"refusal-removal",
"snr-layer-selection",
"norm-preserving",
"orthogonalization",
"no-filter",
"unfiltered",
"unrestricted",
"thinking",
"reasoning",
"text-generation",
"en",
"dataset:... | text-generation | 2025-11-26T00:36:22Z | # Elbaz-OLMo-3-32B-Think-Abliterated
<div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/65316953791d5a2611426c20/nC44-uxMD6J6H3OHxRtVU.png" alt="OLMo-3 Logo" width="200"/>
<h2 style="color: #FF69B4; margin-top: 10px;">abliterated</h2>
**An abliterated (uncensored) version of OLMo-3... | [] |
Darveht/zenvion-voice-detector-v0.3 | Darveht | 2025-12-01T21:49:37Z | 132 | 2 | transformers | [
"transformers",
"zenvion_voice_detector",
"audio",
"audio-classification",
"voice-detection",
"speech-recognition",
"speaker-recognition",
"emotion-detection",
"age-detection",
"gender-detection",
"accent-detection",
"language-identification",
"noise-robust",
"pytorch",
"wavlm",
"wav2v... | audio-classification | 2025-11-09T14:56:35Z | # 🚀 Zenvion Voice Detector v0.5 ULTRA Edition
**El modelo de detección y análisis de voz más avanzado del mundo**
Modelo híbrido masivo basado en **Microsoft WavLM-Large** con arquitectura transformer personalizada de 32 capas.
## 🎯 Características Principales
### 🧠 Arquitectura Híbrida Masiva
- **Base**: Micro... | [] |
openbmb/VoxCPM2 | openbmb | 2026-04-16T03:30:11Z | 15,249 | 929 | voxcpm | [
"voxcpm",
"safetensors",
"text-to-speech",
"tts",
"multilingual",
"voice-cloning",
"voice-design",
"diffusion",
"audio",
"zh",
"en",
"ar",
"my",
"da",
"nl",
"fi",
"fr",
"de",
"el",
"he",
"hi",
"id",
"it",
"ja",
"km",
"ko",
"lo",
"ms",
"no",
"pl",
"pt",
"... | text-to-speech | 2026-04-03T05:25:50Z | # VoxCPM2
**VoxCPM2** is a tokenizer-free, diffusion autoregressive Text-to-Speech model — **2B parameters**, **30 languages**, **48kHz** audio output, trained on over **2 million hours** of multilingual speech data.
[](https://github.com/OpenBMB/V... | [] |
lmstudio-community/Qwen2.5-Coder-0.5B-Instruct-GGUF | lmstudio-community | 2024-11-11T16:50:38Z | 1,863 | 4 | null | [
"gguf",
"code",
"codeqwen",
"chat",
"qwen",
"qwen-coder",
"text-generation",
"en",
"base_model:Qwen/Qwen2.5-Coder-0.5B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-0.5B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-11-07T04:13:37Z | ## 💫 Community Model> Qwen2.5 Coder 0.5B Instruct by Qwen
*👾 [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:** [Qwen](https://huggingface.co/Qwen)<br>
**O... | [] |
elyza/Llama-3-ELYZA-JP-8B | elyza | 2024-06-26T02:56:23Z | 14,436 | 146 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"ja",
"en",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-06-25T06:32:13Z | ## Llama-3-ELYZA-JP-8B
### Model Description
**Llama-3-ELYZA-JP-8B** is a large language model trained by [ELYZA, Inc](https://elyza.ai/).
Based on [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct), it has been enhanced f... | [] |
braindecode/braindecode-bendr | braindecode | 2025-10-31T11:21:01Z | 6,039 | 1 | null | [
"pytorch",
"bendr",
"eeg",
"brain",
"timeseries",
"self-supervised",
"transformer",
"biomedical",
"neuroscience",
"en",
"dataset:Sleep-EDF",
"dataset:TUAB",
"dataset:MOABB",
"license:apache-2.0",
"region:us"
] | null | 2025-10-31T11:18:04Z | # BENDR: BErt-inspired Neural Data Representations
Pretrained BENDR model for EEG classification tasks. This is the official Braindecode implementation
of BENDR from Kostas et al. (2021).
## Model Details
- **Model Type**: Transformer-based EEG encoder
- **Pretraining**: Self-supervised learning on masked sequence r... | [] |
LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct | LGAI-EXAONE | 2026-02-06T06:14:59Z | 330,327 | 148 | transformers | [
"transformers",
"safetensors",
"exaone",
"text-generation",
"lg-ai",
"exaone-3.5",
"conversational",
"custom_code",
"en",
"ko",
"arxiv:2412.04862",
"license:other",
"region:us"
] | text-generation | 2024-12-01T13:15:33Z | <p align="center">
<img src="assets/EXAONE_Symbol+BI_3d.png", width="300", style="margin: 40 auto;">
<br>
# EXAONE-3.5-7.8B-Instruct
## Introduction
We introduce EXAONE 3.5, a collection of instruction-tuned bilingual (English and Korean) generative models ranging from 2.4B to 32B parameters, developed and released ... | [] |
yujiepan/qwen3.5-moe-tiny-random | yujiepan | 2026-02-17T07:58:12Z | 830 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"conversational",
"base_model:Qwen/Qwen3.5-397B-A17B",
"base_model:finetune:Qwen/Qwen3.5-397B-A17B",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-02-17T07:44:07Z | This tiny model is intended for debugging. It is randomly initialized using the configuration adapted from [Qwen/Qwen3.5-397B-A17B](https://huggingface.co/Qwen/Qwen3.5-397B-A17B).
| File path | Size |
|------|------|
| model.safetensors | 9.6MB |
### Example usage:
- vLLM
```bash
# Multi-token prediction is suppor... | [] |
bartowski/TheDrummer_Rivermind-24B-v1-GGUF | bartowski | 2025-10-31T15:41:11Z | 303 | 1 | null | [
"gguf",
"text-generation",
"base_model:TheDrummer/Rivermind-24B-v1",
"base_model:quantized:TheDrummer/Rivermind-24B-v1",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-31T11:31:29Z | ## Llamacpp imatrix Quantizations of Rivermind-24B-v1 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/b6888">b6888</a> for quantization.
Original model: https://huggingface.co/TheDrummer/Rivermind-24B-v1
All quants... | [] |
ggml-org/SmolLM3-3B-GGUF | ggml-org | 2025-07-08T23:36:47Z | 5,416 | 54 | null | [
"gguf",
"en",
"fr",
"es",
"it",
"pt",
"zh",
"ar",
"ru",
"base_model:HuggingFaceTB/SmolLM3-3B",
"base_model:quantized:HuggingFaceTB/SmolLM3-3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-07-08T12:36:39Z | # SmolLM3-GGUF
Original model: https://huggingface.co/HuggingFaceTB/SmolLM3-3B
> [!IMPORTANT]
> To enable thinking, you need to specify `--jinja`
Example usage with llama.cpp:
```
llama-cli -hf ggml-org/SmolLM3-3B-GGUF --jinja
```
![image/png](https://cdn-uploads.huggingface.co/production/uploads/61c141342aac764ce... | [] |
LocoreMind/LocoTrainer-4B-GGUF | LocoreMind | 2026-03-14T02:12:11Z | 592 | 3 | transformers | [
"transformers",
"gguf",
"code",
"agent",
"tool-calling",
"distillation",
"qwen3",
"ms-swift",
"quantization",
"text-generation",
"en",
"base_model:LocoreMind/LocoTrainer-4B",
"base_model:quantized:LocoreMind/LocoTrainer-4B",
"license:mit",
"endpoints_compatible",
"region:us",
"conver... | text-generation | 2026-03-14T02:05:51Z | # LocoTrainer-4B GGUF
GGUF quantized version of LocoTrainer-4B model for local inference.
## Model Information
- **Base Model**: [Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507)
- **Distilled from**: Qwen3-Coder-Next
- **Training Method**: Knowledge Distillation (SFT)
- **Training Data**:... | [] |
prithivMLmods/Qwen3-VL-32B-Instruct-abliterated-v1 | prithivMLmods | 2025-11-12T21:21:41Z | 129 | 6 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"text-generation-inference",
"abliterated",
"v1.0",
"conversational",
"en",
"base_model:Qwen/Qwen3-VL-32B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-32B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
... | image-text-to-text | 2025-10-22T07:44:32Z | 
# **Qwen3-VL-32B-Instruct-abliterated**
> **Qwen3-VL-32B-Instruct-abliterated** is an *abliterated (v1.0)* variant of **Qwen3-VL-32B-Instruct**, designed for **Abliterated Reasoning and Captioning**.
> This ... | [] |
utter-project/TowerVision-2B | utter-project | 2025-11-05T11:27:04Z | 205 | 5 | transformers | [
"transformers",
"safetensors",
"llava_next",
"image-text-to-text",
"multimodal",
"multilingual",
"vlm",
"translation",
"conversational",
"en",
"de",
"nl",
"es",
"fr",
"pt",
"uk",
"hi",
"zh",
"ru",
"cs",
"ko",
"ja",
"it",
"pl",
"ro",
"nb",
"nn",
"arxiv:2510.21849... | image-text-to-text | 2025-08-11T16:10:00Z | # Model Card for TowerVision
<p align="left">
<img src="Tower.png" alt="TowerVision Logo" width="200">
</p>
TowerVision is a family of open-source multilingual vision-language models with strong capabilities optimized for a variety of vision-language use cases, including image captioning, visual understanding, summar... | [] |
mistralai/Ministral-3-14B-Instruct-2512-GGUF | mistralai | 2026-01-15T11:17:42Z | 8,151 | 47 | vllm | [
"vllm",
"gguf",
"mistral-common",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"arxiv:2601.08584",
"base_model:mistralai/Ministral-3-14B-Instruct-2512",
"base_model:quantized:mistralai/Ministral-3-14B-Instruct-2512",
"license:apache-2.0",
"region:us",
"conv... | null | 2025-10-31T08:47:30Z | # Ministral 3 14B Instruct 2512 GGUF
The largest model in the Ministral 3 family, **Ministral 3 14B** offers frontier capabilities and performance comparable to its larger [Mistral Small 3.2 24B](https://huggingface.co/mistralai/Mistral-Small-3.2-Instruct-2506) counterpart. A powerful and efficient language model with... | [
{
"start": 435,
"end": 439,
"text": "GGUF",
"label": "benchmark name",
"score": 0.6445059180259705
}
] |
unsloth/DeepSeek-V3.2-GGUF | unsloth | 2026-01-30T14:29:09Z | 8,737 | 25 | null | [
"gguf",
"deepseek",
"unsloth",
"base_model:deepseek-ai/DeepSeek-V3.2",
"base_model:quantized:deepseek-ai/DeepSeek-V3.2",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-29T06:07:11Z | # Read our How to [Run DeepSeek-V3.1 Guide!](https://unsloth.ai/docs/models/tutorials/deepseek-v3.1-how-to-run-locally)
## To run, follow the same instructions as our DeepSeek-V3.1 guide but change the model name to 'DeepSeek-V3.2' instead.
<div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://do... | [
{
"start": 218,
"end": 231,
"text": "DeepSeek-V3.2",
"label": "benchmark name",
"score": 0.6702678799629211
}
] |
mradermacher/KorReason-35B-Darwin-i1-GGUF | mradermacher | 2026-04-21T19:02:31Z | 23,247 | 5 | transformers | [
"transformers",
"gguf",
"qwen3.5",
"model-merging",
"dare-ties",
"darwin-v4",
"moe",
"reasoning",
"en",
"ko",
"zh",
"base_model:Be2Jay/KorReason-35B-Darwin",
"base_model:quantized:Be2Jay/KorReason-35B-Darwin",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"c... | null | 2026-04-03T15:01:13Z | ## 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": 620,
"end": 648,
"text": "KorReason-35B-Darwin-i1-GGUF",
"label": "benchmark name",
"score": 0.6490911245346069
}
] |
nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 | nvidia | 2026-05-01T16:54:19Z | 894,238 | 289 | transformers | [
"transformers",
"safetensors",
"nemotron_h",
"text-generation",
"nvidia",
"pytorch",
"nemotron-3",
"latent-moe",
"mtp",
"conversational",
"custom_code",
"en",
"fr",
"es",
"it",
"de",
"ja",
"zh",
"dataset:nvidia/nemotron-post-training-v3",
"dataset:nvidia/nemotron-pre-training-d... | text-generation | 2026-03-10T18:33:04Z | # NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4
<div align="center" style="line-height: 1;">
<a href="https://build.nvidia.com/nvidia/nemotron-3-super-120b-a12b" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/🤖Chat-Nemotron_3_Super-536af5?color=76B900&logoColor=white" style="dis... | [] |
mradermacher/LaaLM-exp-v1-i1-GGUF | mradermacher | 2026-01-23T17:39:54Z | 110 | 1 | transformers | [
"transformers",
"gguf",
"linux",
"terminal",
"bash",
"shell",
"conversational",
"code",
"en",
"base_model:LaaLM/LaaLM-exp-v1",
"base_model:quantized:LaaLM/LaaLM-exp-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2026-01-23T15:54:08Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 610,
"end": 630,
"text": "LaaLM-exp-v1-i1-GGUF",
"label": "benchmark name",
"score": 0.608741283416748
}
] |
mradermacher/Mistral-2x24B-MOE-Power-Magistral-Devstral-Reasoning-Ultimate-44B-i1-GGUF | mradermacher | 2025-12-28T07:52:10Z | 795 | 2 | transformers | [
"transformers",
"gguf",
"merge",
"programming",
"code generation",
"Codestral",
"code",
"moe",
"coding",
"coder",
"chat",
"mistral",
"mixtral",
"mixture of experts",
"mistral moe",
"2X24B",
"reasoning",
"thinking",
"Devstral",
"Magistral",
"en",
"fr",
"de",
"es",
"pt"... | null | 2025-09-04T15:00:07Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [
{
"start": 462,
"end": 527,
"text": "Mistral-2x24B-MOE-Power-Magistral-Devstral-Reasoning-Ultimate-44B",
"label": "benchmark name",
"score": 0.6984059810638428
},
{
"start": 664,
"end": 737,
"text": "Mistral-2x24B-MOE-Power-Magistral-Devstral-Reasoning-Ultimate-44B-i1-GGUF",
... |
huawei-csl/Qwen3-32B-4bit-SINQ | huawei-csl | 2026-02-02T08:43:09Z | 1,741 | 7 | null | [
"safetensors",
"qwen3",
"quantization",
"sinq",
"int4",
"efficient-inference",
"text-generation",
"qwen",
"llm",
"compression",
"conversational",
"en",
"arxiv:2509.22944",
"base_model:Qwen/Qwen3-32B",
"base_model:quantized:Qwen/Qwen3-32B",
"license:apache-2.0",
"8-bit",
"region:us"... | text-generation | 2025-10-17T16:01:10Z | <p align="center">
<img src="logo.png" alt="Logo" style="max-width: 80%; height: auto;">
</p>
<p align="center">🐙 <a href="https://github.com/huawei-csl/SINQ">Github</a> | 📄 <a href="http://arxiv.org/abs/2509.22944">Paper</a></p>
# SINQ 4-bit Quantized Qwen3-32B model
This repository con... | [] |
mradermacher/Melinoe-Qwen3Omni-30B-A3B-Thinking-i1-GGUF | mradermacher | 2026-03-13T05:17:43Z | 15,659 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:bgg1996/Melinoe-Qwen3Omni-30B-A3B-Thinking",
"base_model:quantized:bgg1996/Melinoe-Qwen3Omni-30B-A3B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-12T23:18:59Z | ## 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": 497,
"text": "Melinoe-Qwen3Omni-30B-A3B-Thinking",
"label": "benchmark name",
"score": 0.6272653937339783
},
{
"start": 634,
"end": 676,
"text": "Melinoe-Qwen3Omni-30B-A3B-Thinking-i1-GGUF",
"label": "benchmark name",
"score": 0.7272670269012451
}... |
mradermacher/LexiFreak-8B-Unleashed-i1-GGUF | mradermacher | 2025-12-06T03:48:52Z | 336 | 4 | transformers | [
"transformers",
"gguf",
"llama3",
"roleplay",
"uncensored",
"finetune",
"brainrot",
"en",
"base_model:soundTeam/LexiFreak-8B-Unleashed",
"base_model:quantized:soundTeam/LexiFreak-8B-Unleashed",
"license:llama3",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-10-04T20:08:04Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
tomaarsen/span-marker-mbert-base-multinerd | tomaarsen | 2023-09-12T20:45:24Z | 333,357 | 68 | span-marker | [
"span-marker",
"pytorch",
"tensorboard",
"safetensors",
"token-classification",
"ner",
"named-entity-recognition",
"multilingual",
"dataset:Babelscape/multinerd",
"base_model:google-bert/bert-base-multilingual-cased",
"base_model:finetune:google-bert/bert-base-multilingual-cased",
"license:cc-... | token-classification | 2023-08-07T06:59:57Z | # SpanMarker for Multilingual Named Entity Recognition
This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model that can be used for multilingual Named Entity Recognition trained on the [MultiNERD](https://huggingface.co/datasets/Babelscape/multinerd) dataset. In particular, this SpanMarker model uses ... | [
{
"start": 834,
"end": 843,
"text": "Precision",
"label": "evaluation metric",
"score": 0.8346039652824402
},
{
"start": 850,
"end": 856,
"text": "Recall",
"label": "evaluation metric",
"score": 0.7396734952926636
},
{
"start": 863,
"end": 865,
"text": "F1... |
Trendyol/TY-ecomm-embed-multilingual-base-v1.2.0 | Trendyol | 2025-05-13T14:08:23Z | 1,665 | 37 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"new",
"sentence-similarity",
"custom_code",
"tr",
"ar",
"en",
"de",
"bg",
"hu",
"ro",
"sk",
"pl",
"cs",
"el",
"arxiv:1908.10084",
"arxiv:2205.13147",
"base_model:Alibaba-NLP/gte-multilingual-base",
"base_model:finetune:Alibaba-NLP/gte-mu... | sentence-similarity | 2025-05-06T12:33:29Z | # Trendyol/TY-ecomm-embed-multilingual-base-v1.2.0
Trendyol/TY-ecomm-embed-multilingual-base-v1.2.0 is a multilingual [sentence-transformers](https://www.SBERT.net) embedding model fine-tuned on e-commerce datasets, optimized for semantic similarity, search, classification, and retrieval tasks. It is integrating domai... | [] |
nvidia/Qwen3-8B-DMS-8x | nvidia | 2026-01-22T16:07:37Z | 1,094 | 34 | transformers | [
"transformers",
"safetensors",
"qwen3",
"nvidia",
"pytorch",
"kvcache",
"custom_code",
"dataset:open-r1/OpenR1-Math-220k",
"arxiv:2506.05345",
"arxiv:2505.09388",
"arxiv:2305.20050",
"arxiv:2107.03374",
"arxiv:2311.07911",
"base_model:Qwen/Qwen3-8B",
"base_model:finetune:Qwen/Qwen3-8B",
... | null | 2026-01-19T20:39:00Z | # Qwen3-8B-DMS-8x
### Description:
Qwen-3-8B-DMS-8x is a derivative of [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) that integrates [Dynamic Memory Sparsification (DMS)](https://arxiv.org/abs/2506.05345) with an 8x compression ratio during inference. DMS adaptively sparsifies the KV cache to reduce memory footprin... | [] |
LGAI-EXAONE/EXAONE-Deep-2.4B-GGUF | LGAI-EXAONE | 2025-03-18T12:49:55Z | 167 | 31 | transformers | [
"transformers",
"gguf",
"lg-ai",
"exaone",
"exaone-deep",
"text-generation",
"en",
"ko",
"arxiv:2503.12524",
"base_model:LGAI-EXAONE/EXAONE-Deep-2.4B",
"base_model:quantized:LGAI-EXAONE/EXAONE-Deep-2.4B",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-03-12T04:42:40Z | <p align="center">
<img src="assets/EXAONE_Symbol+BI_3d.png", width="300", style="margin: 40 auto;">
<br>
# EXAONE-Deep-2.4B-GGUF
## Introduction
We introduce EXAONE Deep, which exhibits superior capabilities in various reasoning tasks including math and coding benchmarks, ranging from 2.4B to 32B parameters develop... | [
{
"start": 162,
"end": 173,
"text": "EXAONE Deep",
"label": "benchmark name",
"score": 0.9563379287719727
},
{
"start": 387,
"end": 398,
"text": "EXAONE Deep",
"label": "benchmark name",
"score": 0.9599456787109375
},
{
"start": 456,
"end": 467,
"text": "E... |
unsloth/NVIDIA-Nemotron-Nano-9B-v2 | unsloth | 2026-03-26T11:58:30Z | 143 | 3 | transformers | [
"transformers",
"safetensors",
"nvidia",
"unsloth",
"pytorch",
"text-generation",
"conversational",
"en",
"es",
"fr",
"de",
"it",
"ja",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v1",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v2",
"dataset:nvidia/Nemotron-Pretraining-Dataset-s... | text-generation | 2025-09-10T19:52:15Z | > [!NOTE]
> Includes Unsloth **chat template fixes**! <br> For `llama.cpp`, use `--jinja`
>
<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>
... | [] |
mradermacher/Qwen3-0.6B-heretic-abliterated-uncensored-i1-GGUF | mradermacher | 2025-12-06T02:34:01Z | 418 | 3 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"en",
"base_model:DavidAU/Qwen3-0.6B-heretic-abliterated-uncensored",
"base_model:quantized:DavidAU/Qwen3-0.6B-heretic-abliterated-uncensored",
"endpoints_compatible",
"region:us",
"imatrix",
"convers... | null | 2025-11-20T23:08:05Z | ## 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_... | [
{
"start": 641,
"end": 690,
"text": "Qwen3-0.6B-heretic-abliterated-uncensored-i1-GGUF",
"label": "benchmark name",
"score": 0.6823163628578186
},
{
"start": 764,
"end": 810,
"text": "Qwen3-0.6B-heretic-abliterated-uncensored-GGUF",
"label": "benchmark name",
"score": 0.6... |
gabriellarson/ERNIE-4.5-21B-A3B-Thinking-GGUF | gabriellarson | 2025-09-09T02:22:26Z | 286 | 16 | transformers | [
"transformers",
"gguf",
"ERNIE4.5",
"text-generation",
"en",
"zh",
"base_model:baidu/ERNIE-4.5-21B-A3B-Thinking",
"base_model:quantized:baidu/ERNIE-4.5-21B-A3B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-09-09T01:16:03Z | <div align="center" style="line-height: 1;">
<a href="https://ernie.baidu.com/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/🤖_Chat-ERNIE_Bot-blue" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://huggingface.co/baidu" target="_blank" s... | [] |
nvidia/GLM-4.7-NVFP4 | nvidia | 2026-03-25T21:34:40Z | 110 | 5 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"glm4_moe",
"nvidia",
"ModelOpt",
"GLM-4.7",
"quantized",
"FP4",
"fp4",
"text-generation",
"conversational",
"base_model:zai-org/GLM-4.7",
"base_model:quantized:zai-org/GLM-4.7",
"license:mit",
"8-bit",
"modelopt",
"region:us"
] | text-generation | 2026-03-19T05:08:58Z | # Model Overview
## Description:
The NVIDIA GLM-4.7 NVFP4 model is the quantized version of ZAI's GLM-4.7 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/zai-org/GLM-4.7). The NVIDIA GLM-4.7 NVFP4 model ... | [] |
lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF | lmstudio-community | 2024-05-03T13:53:50Z | 8,912 | 188 | null | [
"gguf",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"text-generation",
"en",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:quantized:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-04-18T20:23:48Z | ## 💫 Community Model> Llama 3 8B Instruct by Meta
*👾 [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.co/meta-llama)<br>... | [] |
stabilityai/stablelm-2-12b | stabilityai | 2024-07-10T11:57:15Z | 3,269 | 121 | transformers | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"causal-lm",
"en",
"de",
"es",
"fr",
"it",
"nl",
"pt",
"dataset:tiiuae/falcon-refinedweb",
"dataset:togethercomputer/RedPajama-Data-1T",
"dataset:uonlp/CulturaX",
"dataset:CarperAI/pilev2-dev",
"dataset:bigcode/starcoderda... | text-generation | 2024-03-21T20:05:32Z | # `Stable LM 2 12B`
## Model Description
`Stable LM 2 12B` is a 12.1 billion parameter decoder-only language model pre-trained on 2 trillion tokens of diverse multilingual and code datasets for two epochs.
Please note: For commercial use, please refer to https://stability.ai/license.
## Usage
**NOTE**: This model ... | [] |
unsloth/Qwen3-VL-4B-Instruct-FP8 | unsloth | 2025-11-24T10:25:53Z | 177 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"unsloth",
"conversational",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-4B-Instruct-FP8",
"base_model:quantized:Qwen/Qwen3-VL-4B-Instruct-FP8",
"license:apache-2.0"... | image-text-to-text | 2025-10-14T10:54:49Z | > [!NOTE]
> Includes Unsloth **chat template fixes**! <br> For `llama.cpp`, use `--jinja`
>
<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>
... | [] |
InstantX/InstantID | InstantX | 2024-01-22T09:43:05Z | 49,293 | 848 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"en",
"arxiv:2401.07519",
"license:apache-2.0",
"region:us"
] | text-to-image | 2024-01-19T11:52:05Z | # InstantID Model Card
<div align="center">
[**Project Page**](https://instantid.github.io/) **|** [**Paper**](https://arxiv.org/abs/2401.07519) **|** [**Code**](https://github.com/InstantID/InstantID) **|** [🤗 **Gradio demo**](https://huggingface.co/spaces/InstantX/InstantID)
</div>
## Introduction
InstantID is... | [] |
caiovicentino1/Gemma-4-31B-it-HLWQ-Q5-Vision | caiovicentino1 | 2026-04-13T18:50:36Z | 253 | 6 | null | [
"gemma4",
"hlwq",
"quantized",
"multimodal",
"vision",
"4-bit",
"kv-cache-compression",
"image-text-to-text",
"conversational",
"arxiv:2502.02617",
"arxiv:2603.29078",
"base_model:google/gemma-4-31B-it",
"base_model:quantized:google/gemma-4-31B-it",
"license:apache-2.0",
"polarengine",
... | image-text-to-text | 2026-04-03T00:34:42Z | > [!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": 0.745002806186676
},
{
"start": 113,
"end": 117,
"text": "HLWQ",
"label": "benchmark name",
"score": 0.8174774646759033
},
{
"start": 360,
"end": 364,
"text": "HLWQ",
"label"... |
facebook/sam2.1-hiera-tiny | facebook | 2025-08-15T21:18:13Z | 115,573 | 23 | transformers | [
"transformers",
"safetensors",
"sam2_video",
"feature-extraction",
"mask-generation",
"arxiv:2408.00714",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | mask-generation | 2024-09-24T01:52:21Z | Repository for SAM 2: Segment Anything in Images and Videos, a foundation model towards solving promptable visual segmentation in images and videos from FAIR. See the [SAM 2 paper](https://arxiv.org/abs/2408.00714) for more information.
The official code is publicly release in this [repo](https://github.com/facebookre... | [] |
AaryanK/GLM-4.7-Flash-GGUF | AaryanK | 2026-01-20T00:09:41Z | 321 | 7 | gguf | [
"gguf",
"text-generation-inference",
"glm",
"moe",
"flash",
"glm4_moe_lite",
"text-generation",
"en",
"zh",
"base_model:zai-org/GLM-4.7-Flash",
"base_model:quantized:zai-org/GLM-4.7-Flash",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-01-19T17:48:17Z | # GLM-4.7-Flash-GGUF
<div align="center">
<img src="https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/logo.svg" width="15%"/>
</div>
## Description
This repository contains **GGUF** format model files for [Zhipu AI's GLM-4.7-Flash](https://huggingface.co/zai-org/GLM-4.7-Flash).
**GLM-4.7-F... | [
{
"start": 246,
"end": 259,
"text": "GLM-4.7-Flash",
"label": "benchmark name",
"score": 0.6091284155845642
},
{
"start": 311,
"end": 324,
"text": "GLM-4.7-Flash",
"label": "benchmark name",
"score": 0.7809120416641235
},
{
"start": 615,
"end": 628,
"text"... |
mradermacher/Hemlock-Qwen3-Coder-REAP-25B-A3B-i1-GGUF | mradermacher | 2025-12-19T02:00:09Z | 127 | 1 | transformers | [
"transformers",
"gguf",
"en",
"dataset:nbeerbower/hemlock-sft-v0.1",
"base_model:nbeerbower/Hemlock-Qwen3-Coder-REAP-25B-A3B",
"base_model:quantized:nbeerbower/Hemlock-Qwen3-Coder-REAP-25B-A3B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-12-18T21:59:26Z | ## 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_... | [] |
SEOKDONG/Qwen3.5-9B-kor-enterprise | SEOKDONG | 2026-03-15T14:19:26Z | 169 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"korean",
"ocr",
"document-understanding",
"enterprise-documents",
"markdown",
"table-extraction",
"chart-understanding",
"json-extraction",
"text-generation",
"conversational",
"ko",
"en",
"base_model:Qwen/Qwen3.5-9B",
... | text-generation | 2026-03-15T11:04:38Z | # Qwen3.5-9B 한국 기업 문서 OCR 특화 모델
## 모델 개요
**Qwen3.5-9B 한국 기업 문서 OCR 특화 모델**은 **Qwen3.5-9B**를 기반으로,
**한국 기업 환경에서 실제로 사용되는 문서 약 30만 건(총 307,272건)**을 활용해 파인튜닝한 모델입니다.
이 모델은 특히 한국어 문서의 **image-to-text / OCR 후처리 / 문서 구조화** 업무에서 다음과 같은 문제를 줄이는 것을 목표로 설계되었습니다.
- 한글 오인식 및 잘못된 문자 출력
- 띄어쓰기 및 토큰 경계 오류
- 숫자, 단위, 필드, 셀 값 누락
-... | [] |
ostris/Flex.1-alpha | ostris | 2025-01-19T03:23:32Z | 337 | 480 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"license:apache-2.0",
"endpoints_compatible",
"diffusers:FluxPipeline",
"region:us"
] | text-to-image | 2025-01-18T21:59:00Z | # Flex.1-alpha
<img src="https://i0.wp.com/ostris.com/wp-content/uploads/2025/01/Flex.1-alpha.jpg?resize=1024%2C573&ssl=1" style="max-width: 100%; height: auto;">
## Description
Flex.1 alpha is a pre-trained base 8 billion parameter rectified flow transformer capable of generating images from text descriptions. ... | [] |
dphn/Dolphin-Mistral-24B-Venice-Edition-FP8 | dphn | 2026-04-24T13:52:40Z | 394 | 3 | transformers | [
"transformers",
"safetensors",
"mistral3",
"image-text-to-text",
"text-generation",
"conversational",
"base_model:mistralai/Mistral-Small-24B-Instruct-2501",
"base_model:quantized:mistralai/Mistral-Small-24B-Instruct-2501",
"license:apache-2.0",
"endpoints_compatible",
"compressed-tensors",
"r... | text-generation | 2025-07-24T13:38:44Z | # 🐬 Dolphin Mistral 24B Venice Edition 🌅
Website: https://dphn.ai
Twitter: https://x.com/dphnAI
Web Chat: https://chat.dphn.ai
Telegram bot: https://t.me/DolphinAI_bot
This model was trained on 8xB200 provided by https://targon.com/
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/68485b... | [] |
Itdoesntmatterfoff/Realistic_Vision_V5.1_noVAE | Itdoesntmatterfoff | 2026-03-04T20:11:02Z | 326 | 1 | diffusers | [
"diffusers",
"safetensors",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | 2026-03-04T20:11:02Z | <strong>Check my exclusive models on Mage: </strong><a href="https://www.mage.space/play/4371756b27bf52e7a1146dc6fe2d969c" rel="noopener noreferrer nofollow"><strong>ParagonXL</strong></a><strong> / </strong><a href="https://www.mage.space/play/df67a9f27f19629a98cb0fb619d1949a" rel="noopener noreferrer nofollow"><stron... | [] |
allenai/MolmoAct-7B-D-Pretrain-0812 | allenai | 2025-09-02T06:30:53Z | 1,399 | 8 | transformers | [
"transformers",
"safetensors",
"molmoact",
"image-text-to-text",
"molmo",
"olmo",
"reasoning",
"vla",
"robotics",
"manipulation",
"custom_code",
"en",
"arxiv:2508.07917",
"base_model:Qwen/Qwen2.5-7B",
"base_model:finetune:Qwen/Qwen2.5-7B",
"license:apache-2.0",
"region:us"
] | robotics | 2025-08-09T05:16:59Z | <img src="molmoact_logo.svg" alt="MolmoAct Logo" style="width: auto; height: 50px;">
# MolmoAct 7B-D Pretrain
MolmoAct is a fully open-source action reasoning model for robotic manipulation developed by the Allen Institute for AI. MolmoAct is trained on a subset of OXE and MolmoAct Dataset, a dataset with 10k high-qu... | [] |
ReadyArt/Omega-Evolution-27B-v1.0-GGUF | ReadyArt | 2026-03-24T23:01:05Z | 1,427 | 2 | null | [
"gguf",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"Other License",
"base_model:ReadyArt/Omega-Evolution-27B-v1.0",
"base_model:quantized:ReadyArt/Omega-Evolution-27B-v1.0",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-24T06:00:13Z | <style>
:root {
--primary-glow: #ff4d00; /* Danger Orange */
--secondary-glow: #00ffcc; /* Cyber Cyan */
--dark-bg: #050505;
--card-bg: #111111;
--text-main: #e0e0e0;
--text-muted: #a0a0a0;
--danger: #ff0000;
}
body {
font-family: 'Courier New', monospace; /* Typewriter feel for that "c... | [] |
mradermacher/Llama3.2-30B-A3B-II-Dark-Champion-INSTRUCT-Heretic-Abliterated-Uncensored-i1-GGUF | mradermacher | 2025-12-04T22:18:06Z | 1,973 | 1 | transformers | [
"transformers",
"gguf",
"mixture of experts",
"moe",
"8x3B",
"Llama 3.2 MOE",
"128k context",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"science fiction",
"roma... | null | 2025-12-01T22:23:49Z | ## 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": 536,
"text": "Llama3.2-30B-A3B-II-Dark-Champion-INSTRUCT-Heretic-Abliterated-Uncensored",
"label": "benchmark name",
"score": 0.6051501035690308
},
{
"start": 673,
"end": 754,
"text": "Llama3.2-30B-A3B-II-Dark-Champion-INSTRUCT-Heretic-Abliterated-Uncensore... |
OpenOneRec/OneRec-1.7B | OpenOneRec | 2026-01-05T07:06:33Z | 9,843 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2512.24762",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-30T15:12:32Z | <div align="center">
<h1>OpenOneRec</h1>
<p align="center">
<strong>An Open Foundation Model and Benchmark to Accelerate Generative Recommendation</strong>
</p>
<p align="center">
<a href="https://huggingface.co/OpenOneRec">
<img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%... | [
{
"start": 27,
"end": 37,
"text": "OpenOneRec",
"label": "benchmark name",
"score": 0.8366345167160034
},
{
"start": 228,
"end": 238,
"text": "OpenOneRec",
"label": "benchmark name",
"score": 0.7701340317726135
},
{
"start": 441,
"end": 451,
"text": "OpenO... |
QuantFactory/Qwen2.5-Coder-7B-GGUF | QuantFactory | 2024-09-19T06:02:10Z | 1,523 | 7 | transformers | [
"transformers",
"gguf",
"code",
"qwen",
"qwen-coder",
"codeqwen",
"text-generation",
"en",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-7B",
"base_model:quantized:Qwen/Qwen2.5-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-09-19T05:21:50Z | ---
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-7B/blob/main/LICENSE
language:
- en
base_model:
- Qwen/Qwen2.5-7B
pipeline_tag: text-generation
library_name: transformers
tags:
- code
- qwen
- qwen-coder
- codeqwen
---
[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz... | [] |
unsloth/Qwen3-VL-32B-Thinking-1M-GGUF | unsloth | 2025-11-02T01:29:16Z | 4,410 | 4 | transformers | [
"transformers",
"gguf",
"unsloth",
"image-text-to-text",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen3-VL-32B-Thinking",
"base_model:quantized:Qwen/Qwen3-VL-32B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"i... | image-text-to-text | 2025-11-01T23:17:05Z | > [!NOTE]
> Includes Unsloth **chat template fixes**! <br> For `llama.cpp`, use `--jinja`
>
<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>
... | [] |
arcee-ai/Trinity-Mini-Base | arcee-ai | 2025-12-11T21:45:11Z | 1,560 | 19 | transformers | [
"transformers",
"safetensors",
"afmoe",
"text-generation",
"conversational",
"custom_code",
"en",
"es",
"fr",
"de",
"it",
"pt",
"ru",
"ar",
"hi",
"ko",
"zh",
"base_model:arcee-ai/Trinity-Mini-Base-Pre-Anneal",
"base_model:finetune:arcee-ai/Trinity-Mini-Base-Pre-Anneal",
"licens... | text-generation | 2025-12-01T18:25:42Z | <div align="center">
<picture>
<img
src="https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/i-v1KyAMOW_mgVGeic9WJ.png"
alt="Arcee Trinity Mini"
style="max-width: 100%; height: auto;"
>
</picture>
</div>
# Trinity Mini Base
Trinity Mini is an Arcee AI 26B MoE m... | [] |
OpenGVLab/InternVL3_5-38B-HF | OpenGVLab | 2025-09-08T10:02:58Z | 1,707 | 6 | transformers | [
"transformers",
"safetensors",
"internvl",
"image-text-to-text",
"custom_code",
"conversational",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"dataset:OpenGVLab/MMPR-Tiny",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2412.05271",
"arxiv:2411.10442",
"arxiv:2504.10479",
"arxiv:2508.... | image-text-to-text | 2025-08-29T13:16:54Z | # InternVL3_5-38B
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[📜 InternVL2.5-MPO\]](https://huggingface.co/pa... | [] |
mradermacher/QwensanLoRA-3B-Merge-i1-GGUF | mradermacher | 2025-12-27T02:00:15Z | 110 | 1 | transformers | [
"transformers",
"gguf",
"mental-health",
"counseling",
"indonesia",
"qwen",
"lora",
"qlora",
"id",
"dataset:Amod/mental_health_counseling_conversations",
"dataset:ShenLab/MentalChat16K",
"base_model:XzyanQi/QwensanLoRA-3B-Merge",
"base_model:adapter:XzyanQi/QwensanLoRA-3B-Merge",
"endpoint... | null | 2025-12-26T23:58:53Z | ## 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": 620,
"end": 648,
"text": "QwensanLoRA-3B-Merge-i1-GGUF",
"label": "benchmark name",
"score": 0.6235324740409851
}
] |
aoxo/gpt-oss-20b-uncensored | aoxo | 2026-03-10T12:58:32Z | 22,641 | 25 | transformers | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"vllm",
"llm",
"open-source",
"conversational",
"en",
"arxiv:2508.10925",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-22T13:14:47Z | <p align="center">
<img alt="gpt-oss-20b-abliterated" src="https://raw.githubusercontent.com/aloshdenny/openai/master/gpt-oss-20b-uncensored.png">
</p>
#### Model Overview
**Model Name:** gpt-oss-20b-uncensored
**Model Type:** Large Language Model (Text Generation)
**Architecture:** Decoder-Only Transformer (Mix... | [] |
PaddlePaddle/PaddleOCR-VL-1.5-GGUF | PaddlePaddle | 2026-03-06T11:31:28Z | 4,065 | 11 | null | [
"gguf",
"arxiv:2601.21957",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-26T08:10:50Z | <div align="center">
<h1 align="center">
PaddleOCR-VL-1.5: Towards a Multi-Task 0.9B VLM for Robust In-the-Wild Document Parsing
</h1>
[](https://github.com/PaddlePaddle/PaddleOCR)
[![HuggingFace](https://img.shields.io/badge/HuggingFace-... | [] |
mradermacher/Qwen3-4B-Wrist-On-Hermes-i1-GGUF | mradermacher | 2026-03-02T08:03:53Z | 1,739 | 2 | transformers | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"ZeroXClem",
"Hermes",
"Claude",
"Gemini",
"Opus",
"Flash",
"Codex",
"Kimi",
"Polaris",
"Qwen",
"4B",
"Wrist",
"On",
"en",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:TeichAI/gpt-5.1-codex-max-1000... | null | 2026-03-02T06:17:13Z | ## 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_... | [] |
nvidia/music-flamingo-hf | nvidia | 2026-04-04T22:49:49Z | 6,069 | 85 | transformers | [
"transformers",
"safetensors",
"audioflamingo3",
"text2text-generation",
"music/songs",
"music understanding",
"music reasoning",
"audio-text-to-text",
"en",
"dataset:nvidia/MF-Skills",
"arxiv:2511.10289",
"arxiv:2505.13032",
"license:other",
"endpoints_compatible",
"region:us"
] | audio-text-to-text | 2025-11-10T19:23:03Z | # Model Overview
<div align="center" style="display: flex; justify-content: center; align-items: center; text-align: center;">
<a href="https://github.com/NVIDIA/audio-flamingo" style="margin-right: 20px; text-decoration: none; display: flex; align-items: center;">
<img src="static/mf_logo.png" alt="Music Flamin... | [] |
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