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 |
|---|---|---|---|---|---|---|---|---|---|---|
miromind-ai/MiroThinker-1.7-mini | miromind-ai | 2026-04-13T05:57:57Z | 2,384 | 92 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"agent",
"open-source",
"miromind",
"deep-research",
"conversational",
"en",
"arxiv:2603.15726",
"arxiv:2511.11793",
"base_model:Qwen/Qwen3-235B-A22B-Thinking-2507",
"base_model:finetune:Qwen/Qwen3-235B-A22B-Thinking-2507",
"... | text-generation | 2026-03-09T09:44:51Z | <div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6466e7be1343dce20e59191b/uWvc1L779NGAT5PB1kldO.png" width="55%" alt="MiroThinker" />
</div>
<div align="center">
[![Agents](https://img.shields.io/badge/Agents-5EDDD2?style=for-the-badge&logo=huggingface&logoColor=ffffff&labelColor... | [] |
LiquidAI/LFM2-350M-Extract | LiquidAI | 2026-03-30T14:44:59Z | 1,222 | 78 | transformers | [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"liquid",
"edge",
"conversational",
"en",
"ar",
"zh",
"fr",
"de",
"ja",
"ko",
"es",
"arxiv:2511.23404",
"base_model:LiquidAI/LFM2-350M",
"base_model:finetune:LiquidAI/LFM2-350M",
"license:other",
"endpoints_compatible",
... | text-generation | 2025-09-03T17:13:53Z | <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>
<... | [] |
yueliu1999/GuardReasoner-1B | yueliu1999 | 2025-02-02T16:45:42Z | 125 | 6 | transformers | [
"transformers",
"safetensors",
"llama-factory",
"full",
"generated_from_trainer",
"text-classification",
"en",
"arxiv:2501.18492",
"base_model:meta-llama/Llama-3.2-1B",
"base_model:finetune:meta-llama/Llama-3.2-1B",
"license:other",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-01-31T07:04:30Z | # GuardReasoner 1B
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) via R-SFT and HS-DPO. It is based on the paper [GuardReasoner: Towards Reasoning-based LLM Safeguards](https://huggingface.co/papers/2501.18492).
The training data of R-SFT can be found i... | [] |
bartowski/Mistral-7B-Instruct-v0.3-GGUF | bartowski | 2024-05-22T19:09:41Z | 21,182 | 38 | null | [
"gguf",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-05-22T18:52:35Z | ## Llamacpp imatrix Quantizations of Mistral-7B-Instruct-v0.3
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2965">b2965</a> for quantization.
Original model: https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3
All qua... | [] |
mradermacher/gemma-3-1b-it-heretic-abliterated-uncensored-i1-GGUF | mradermacher | 2025-12-06T03:46:28Z | 206 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"en",
"base_model:DavidAU/gemma-3-1b-it-heretic-abliterated-uncensored",
"base_model:quantized:DavidAU/gemma-3-1b-it-heretic-abliterated-uncensored",
"endpoints_compatible",
"region:us",
"imatrix",
"c... | null | 2025-11-20T23:58:18Z | ## 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_... | [] |
mhaxscp/Hermes4-Philosopher-Agent | mhaxscp | 2026-01-10T02:20:56Z | 100 | 1 | null | [
"safetensors",
"gguf",
"qwen3",
"arxiv:2508.18255",
"base_model:NousResearch/Hermes-4-14B",
"base_model:quantized:NousResearch/Hermes-4-14B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-09T23:56:18Z | This is a full fine tune of Hermes 4 14B from Nous Research. The model trained for ~12 days on Apple silicon. Data Mix:
~60mb raw text daily journals (both publicly shared: https://www.youtube.com/@sharedcontextpod and private) of a philosopher, AI Researcher/Dev
~90mb conversations with frontier models discussing th... | [
{
"start": 28,
"end": 40,
"text": "Hermes 4 14B",
"label": "benchmark name",
"score": 0.7554141879081726
},
{
"start": 612,
"end": 624,
"text": "Hermes 4 14B",
"label": "benchmark name",
"score": 0.7333335876464844
},
{
"start": 1769,
"end": 1775,
"text": ... |
Qwen/Qwen3-VL-2B-Thinking | Qwen | 2025-10-20T19:15:08Z | 66,189 | 107 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-text-to-text | 2025-10-19T14:44:12Z | <a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
# Qwen3-VL-2B-Thinking
Meet Qwen3-VL — the most powerful vision-language model in ... | [] |
mradermacher/aya-expanse-32b-heretic-MPOA-GGUF | mradermacher | 2026-02-25T15:21:32Z | 789 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"fr",
"de",
"es",
"it",
"pt",
"ja",
"ko",
"zh",
"ar",
"el",
"fa",
"pl",
"id",
"cs",
"he",
"hi",
"nl",
"ro",
"ru",
"tr",
"uk",
"vi",
"base_model:DazzlingShadow/aya-expanse-32b... | null | 2026-02-25T12:44:33Z | ## 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... | [] |
openai-community/roberta-base-openai-detector | openai-community | 2024-02-19T12:46:55Z | 962,934 | 132 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"roberta",
"text-classification",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1904.09751",
"arxiv:1910.09700",
"arxiv:1908.09203",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"deplo... | text-classification | 2022-03-02T23:29:04Z | # RoBERTa Base OpenAI Detector
## Table of Contents
- [Model Details](#model-details)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation](#evaluation)
- [Environmental Impact](#environmental-impact)
- [Technical Specifications](#technical-specificatio... | [] |
DQN-Labs/dqnCode-v0.2-1.5B | DQN-Labs | 2026-02-24T08:29:34Z | 215 | 3 | null | [
"gguf",
"dqnlabs",
"coding",
"python",
"humaneval",
"lora",
"en",
"base_model:Qwen/Qwen2.5-1.5B-Instruct",
"base_model:adapter:Qwen/Qwen2.5-1.5B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-24T08:10:30Z | # 🧠 DQN Code v0.2
### A 1.5B Python Specialist
DQN Code v0.2 is a lightweight coding-focused model built on **Qwen2.5-1.5B-Instruct** and fine-tuned specifically for high-quality Python generation.
This release focuses on **algorithmic correctness, structured implementation, and clean function completion**.
---
... | [
{
"start": 550,
"end": 565,
"text": "temperature=0.0",
"label": "evaluation metric",
"score": 0.6024472117424011
}
] |
wangkanai/qwen2.5-vl-7b-instruct | wangkanai | 2025-10-29T08:36:23Z | 381 | 2 | transformers | [
"transformers",
"gguf",
"vision-language",
"qwen",
"multimodal",
"abliterated",
"image-text-to-text",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-10-28T18:03:56Z | <!-- README Version: v1.2 -->
# Qwen2.5-VL-7B-Instruct (Abliterated)
Qwen2.5-VL-7B-Instruct is a vision-language model from the Qwen 2.5 family, designed for multimodal understanding and generation tasks. This is an **abliterated version** with safety filters reduced or removed, providing more direct responses. The 7... | [] |
MBZUAI/MediX-R1-2B-GGUF | MBZUAI | 2026-02-27T14:04:06Z | 1,779 | 1 | gguf | [
"gguf",
"medical",
"reinforcement-learning",
"multimodal",
"vision-language",
"qwen3-vl",
"quantized",
"image-text-to-text",
"en",
"arxiv:2602.23363",
"base_model:MBZUAI/MediX-R1-2B",
"base_model:quantized:MBZUAI/MediX-R1-2B",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us... | image-text-to-text | 2026-02-27T06:46:44Z | # MediX-R1: Open-Ended Medical Reinforcement Learning
<p align="center">
<img src="assets/logo_white_no_bg.png" alt="MediX-R1" width="200">
</p>
<p align="center">
<img src="https://i.imgur.com/waxVImv.png" alt="MediX-R1">
</p>
[Sahal Shaji Mullappilly](https://scholar.google.com/citations?user=LJWxVpUAAAAJ&... | [] |
ubergarm/Qwen3.5-35B-A3B-GGUF | ubergarm | 2026-03-16T20:53:04Z | 8,209 | 5 | null | [
"gguf",
"imatrix",
"conversational",
"qwen3_5_moe",
"ik_llama.cpp",
"text-generation",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-25T21:12:36Z | ## `ik_llama.cpp` imatrix Quantizations of Qwen/Qwen3.5-35B-A3B
*NOTE* `ik_llama.cpp` can also run your existing GGUFs from bartowski, unsloth, mradermacher, etc if you want to try it out before downloading my quants. Only a couple quants in this collection are compatible with mainline llamma.cpp/LMStudio/KoboldCPP/etc... | [] |
tensorblock/Vikhr-Llama-3.2-1B-Instruct-GGUF | tensorblock | 2026-01-27T20:45:41Z | 363 | 1 | transformers | [
"transformers",
"gguf",
"TensorBlock",
"GGUF",
"ru",
"en",
"dataset:Vikhrmodels/GrandMaster-PRO-MAX",
"base_model:Vikhrmodels/Vikhr-Llama-3.2-1B-Instruct",
"base_model:quantized:Vikhrmodels/Vikhr-Llama-3.2-1B-Instruct",
"license:llama3.2",
"endpoints_compatible",
"region:us",
"conversational... | null | 2024-11-12T07:53:19Z | <div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
[](https://t... | [] |
PleIAs/Pleias-3b-Preview | PleIAs | 2024-12-05T15:05:12Z | 10,829 | 33 | null | [
"safetensors",
"llama",
"en",
"fr",
"es",
"de",
"it",
"la",
"nl",
"pl",
"dataset:PleIAs/common_corpus",
"license:apache-2.0",
"region:us"
] | null | 2024-12-01T17:09:29Z | <div style="text-align: center;">
<img src="https://raw.githubusercontent.com/Pleias/logos/d6152d7943905da32a1e04fdfd7708ed9c7eed5e/PleIAs%201_0%20Full%20Logo%20(Black).png" style="width: 80%; margin: 0 auto; display: inline-block;"/>
</div>
**Pleias-3b-Preview** is an early preview of a 3 billion parameters base mo... | [] |
raoulbia/Qwen2.5-7B-3GPP-NR | raoulbia | 2026-01-12T10:36:09Z | 192 | 2 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"3gpp",
"5g",
"telecommunications",
"new-radio",
"nr",
"technical-qa",
"fine-tuned",
"lora",
"conversational",
"en",
"dataset:raoulbia/3gpp-5g-nr-qa",
"arxiv:2406.01768",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:a... | text-generation | 2026-01-12T10:04:23Z | # Qwen2.5-7B-3GPP-NR
A fine-tuned version of [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) specialized for answering technical questions about 3GPP 5G New Radio (NR) specifications.
## Model Description
This model was fine-tuned on ~27,000 Q&A pairs derived from 3GPP 38-series technical spec... | [] |
aisingapore/Qwen-SEA-LION-v4-8B-VL | aisingapore | 2026-02-06T01:43:30Z | 1,473 | 7 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"en",
"vi",
"id",
"th",
"my",
"ta",
"tl",
"ms",
"arxiv:2502.14301",
"arxiv:2311.07911",
"arxiv:2306.05685",
"arxiv:1910.09700",
"base_model:Qwen/Qwen3-VL-8B-Instruct",
"base_model:finetune:Qwen/Qwe... | image-text-to-text | 2025-11-21T06:03:00Z | 
## Qwen-SEA-LION-v4-8B-VL (Instruct)
Last update: 2025-12-1
SEA-LION is a collection of Large Language Models (LLMs) which have been pretrained and instruct-tuned for the Southeast Asia (SEA) region.
**Qwen-SEA-LION-v4-8B-VL** is a 8-billion parameter Visi... | [] |
MichielBuisman/granite-4.0-micro-dutch-calibrated-gguf | MichielBuisman | 2026-03-09T21:38:06Z | 112 | 1 | null | [
"gguf",
"quantized",
"granite",
"dutch",
"nl",
"text-generation",
"dataset:MichielBuisman/Leesplank-vloeiend-nl-curriculum",
"base_model:ibm-granite/granite-4.0-micro",
"base_model:quantized:ibm-granite/granite-4.0-micro",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",... | text-generation | 2026-03-09T19:35:24Z | # Granite 4.0 Micro — Dutch Calibrated GGUF Quantizations
Quantized variants of IBM Granite 4.0 Micro using a Dutch importance matrix
derived from the Leesplank corpus.
## Available quantizations
| Model | Size | Purpose |
|---|---|---|
| granite-4.0-micro-Q4_K_NL | ~2.0 GB | Primary deployment target |
| granite-4.... | [] |
lmstudio-community/Olmo-3-7B-Think-GGUF | lmstudio-community | 2025-11-20T14:41:53Z | 168 | 2 | null | [
"gguf",
"base_model:allenai/Olmo-3-7B-Think",
"base_model:quantized:allenai/Olmo-3-7B-Think",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-20T14:38:32Z | ## 💫 Community Model> Olmo-3-7B-Think by allenai
*👾 [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**: [allenai](https://huggingface.co/allenai)<br>
**Orig... | [] |
thebajajra/RexReranker-0.6B-FP8 | thebajajra | 2026-01-24T14:21:43Z | 101 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"ecommerce",
"e-commerce",
"retail",
"marketplace",
"shopping",
"amazon",
"ebay",
"alibaba",
"google",
"rakuten",
"bestbuy",
"walmart",
"flipkart",
"wayfair",
"shein",
"target",
"etsy",
"shopify",
"taobao",
"aso... | text-ranking | 2026-01-10T14:26:10Z | <p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6893dd21467f7d2f5f358a95/apOIbl5PdJuRk-tQMdDc8.png" alt="RexReranker">
</p>
<p align="center">
</p>
[](https://huggingface.co/collections/thebajajra/rexreranker)
[![D... | [
{
"start": 1045,
"end": 1060,
"text": "relevance score",
"label": "evaluation metric",
"score": 0.6369831562042236
}
] |
aisingapore/SEA-LION-v1-7B | aisingapore | 2025-04-14T05:25:53Z | 148 | 42 | transformers | [
"transformers",
"safetensors",
"mpt",
"text-generation",
"custom_code",
"en",
"zh",
"id",
"ms",
"th",
"vi",
"fil",
"ta",
"my",
"km",
"lo",
"arxiv:2101.09635",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2023-10-30T07:39:19Z | # SEA-LION-v1-7B
SEA-LION is a collection of Large Language Models (LLMs) which has been pretrained and instruct-tuned for the Southeast Asia (SEA) region.
The size of the models range from 3 billion to 7 billion parameters.
This is the card for the SEA-LION 7B base model.
SEA-LION stands for <i>Southeast Asian Langu... | [
{
"start": 1118,
"end": 1132,
"text": "SEA-LION-v1-7B",
"label": "benchmark name",
"score": 0.6102321147918701
},
{
"start": 1295,
"end": 1302,
"text": "Average",
"label": "evaluation metric",
"score": 0.7703036069869995
}
] |
amphora/FinABSA | amphora | 2023-06-03T13:03:26Z | 300 | 5 | transformers | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"finbert",
"financial-sentiment-analysis",
"sentiment-analysis",
"en",
"doi:10.57967/hf/0547",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | 2022-11-02T04:49:48Z | ## Model Description
FinABSA is a T5-Large model trained for Aspect-Based Sentiment Analysis(ABSA) tasks using [SEntFiN 1.0](https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24634?af=R). Unlike traditional sentiment analysis models which predict a single sentiment label for each sentence, FinABSA has been train... | [
{
"start": 113,
"end": 124,
"text": "SEntFiN 1.0",
"label": "evaluation metric",
"score": 0.6226037740707397
}
] |
openai/gpt-oss-safeguard-20b | openai | 2026-01-14T18:38:05Z | 41,363 | 201 | transformers | [
"transformers",
"safetensors",
"gpt_oss",
"text-generation",
"vllm",
"conversational",
"arxiv:2508.10925",
"base_model:openai/gpt-oss-20b",
"base_model:finetune:openai/gpt-oss-20b",
"license:apache-2.0",
"endpoints_compatible",
"mxfp4",
"deploy:azure",
"region:us"
] | text-generation | 2025-09-18T18:51:08Z | <p align="center">
<img alt="gpt-oss-safeguard-20b" src="https://raw.githubusercontent.com/openai/gpt-oss-safeguard/refs/heads/main/docs/gpt-oss-safeguard-20b.png">
</p>
<p align="center">
<a href="https://huggingface.co/spaces/openai/gpt-oss-safeguard-20b"><strong>Try gpt-oss-safeguard</strong></a> ·
<a href="http... | [] |
mradermacher/Qwen3-4B-Instruct-2507-gabliterated-i1-GGUF | mradermacher | 2026-02-05T23:00:15Z | 183 | 2 | transformers | [
"transformers",
"gguf",
"uncensored",
"en",
"base_model:Goekdeniz-Guelmez/Qwen3-4B-Instruct-2507-gabliterated",
"base_model:quantized:Goekdeniz-Guelmez/Qwen3-4B-Instruct-2507-gabliterated",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-05T21:15:08Z | ## 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_... | [] |
mradermacher/next-12b-GGUF | mradermacher | 2026-02-19T23:37:41Z | 1,220 | 2 | transformers | [
"transformers",
"gguf",
"turkish",
"türkiye",
"english",
"ai",
"lamapi",
"gemma3",
"next",
"next-x1",
"efficient",
"text-generation",
"open-source",
"12b",
"huggingface",
"large-language-model",
"llm",
"causal",
"transformer",
"artificial-intelligence",
"machine-learning",
... | question-answering | 2025-10-29T10:34:39Z | ## 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... | [] |
huihui-ai/Huihui-Qwen3-VL-4B-Thinking-abliterated | huihui-ai | 2025-12-15T07:36:25Z | 1,478 | 28 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"abliterated",
"uncensored",
"conversational",
"base_model:Qwen/Qwen3-VL-4B-Thinking",
"base_model:finetune:Qwen/Qwen3-VL-4B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-10-16T12:39:39Z | # huihui-ai/Huihui-Qwen3-VL-4B-Thinking-abliterated
This is an uncensored version of [Qwen/Qwen3-VL-4B-Thinking](https://huggingface.co/Qwen/Qwen3-VL-4B-Thinking) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it). ... | [] |
mlx-community/bge-m3-mlx-fp16 | mlx-community | 2026-03-16T05:55:34Z | 801 | 1 | mlx | [
"mlx",
"safetensors",
"xlm-roberta",
"embedding",
"text-embeddings-inference",
"retrieval",
"sentence-transformers",
"feature-extraction",
"multilingual",
"en",
"zh",
"de",
"es",
"fr",
"it",
"ja",
"ko",
"pt",
"ru",
"arxiv:2402.03216",
"base_model:BAAI/bge-m3",
"base_model:f... | feature-extraction | 2026-03-16T05:55:14Z | # BGE-M3 MLX (FP16)
This is the [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) model converted to MLX format for Apple Silicon.
## Model Description
BGE-M3 is a versatile embedding model capable of:
- Dense retrieval
- Sparse retrieval
- Multi-vector (ColBERT) retrieval
This MLX conversion enables efficient infe... | [] |
tiiuae/Falcon-H1-Tiny-Multilingual-100M-Base | tiiuae | 2026-01-15T19:49:59Z | 137 | 5 | transformers | [
"transformers",
"safetensors",
"falcon_h1",
"text-generation",
"falcon-h1",
"edge",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-12T13:14:00Z | <img src="https://cdn-uploads.huggingface.co/production/uploads/62441d1d9fdefb55a0b7d12c/l1du02RjuAZJcksI5tQ-F.png" alt="drawing" width="800"/>
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Training Details](#training-details)
3. [Usage](#usage)
4. [Evaluation](#evaluation)
5. [Citati... | [] |
mradermacher/Qwen3.5-0.8B-heretic-GGUF | mradermacher | 2026-03-03T10:27:22Z | 1,476 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:C10X/Qwen3.5-0.8B-heretic",
"base_model:quantized:C10X/Qwen3.5-0.8B-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-03T10:09:52Z | ## 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": 358,
"end": 378,
"text": "Qwen3.5-0.8B-heretic",
"label": "benchmark name",
"score": 0.6260548830032349
},
{
"start": 515,
"end": 540,
"text": "Qwen3.5-0.8B-heretic-GGUF",
"label": "benchmark name",
"score": 0.7445303797721863
},
{
"start": 624,
"en... |
mradermacher/llama-3-70B-instruct-uncensored-GGUF | mradermacher | 2024-05-05T15:17:40Z | 332 | 15 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"sft",
"en",
"base_model:Dogge/llama-3-70B-instruct-uncensored",
"base_model:quantized:Dogge/llama-3-70B-instruct-uncensored",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-04-22T18:55:22Z | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Dogge/llama-3-70B-instruct-uncensored
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/lla... | [] |
mradermacher/Qwen1.5-4B-heretic-GGUF | mradermacher | 2026-01-14T12:53:58Z | 267 | 1 | transformers | [
"transformers",
"gguf",
"pretrained",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:addansee/Qwen1.5-4B-heretic",
"base_model:quantized:addansee/Qwen1.5-4B-heretic",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-14T05:44:04Z | ## 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... | [
{
"start": 516,
"end": 539,
"text": "Qwen1.5-4B-heretic-GGUF",
"label": "benchmark name",
"score": 0.7104748487472534
},
{
"start": 623,
"end": 649,
"text": "Qwen1.5-4B-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.6357117295265198
}
] |
unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit | unsloth | 2024-11-12T02:53:32Z | 54,162 | 12 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"unsloth",
"code",
"qwen",
"qwen-coder",
"codeqwen",
"conversational",
"en",
"arxiv:2409.12186",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-Coder-7B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-7B-I... | text-generation | 2024-09-23T06:55:21Z | # Finetune Llama 3.1, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing).
Also a [Qwen 2.5 conversational style notebook](https://colab.research.... | [] |
huihui-ai/Huihui-Qwen3-VL-4B-Instruct-abliterated-FP8 | huihui-ai | 2025-12-01T04:54:32Z | 552 | 6 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"abliterated",
"uncensored",
"conversational",
"base_model:Qwen/Qwen3-VL-4B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-4B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"fp8",
"region:us"
] | image-text-to-text | 2025-12-01T04:20:48Z | # huihui-ai/Huihui-Qwen3-VL-4B-Instruct-abliterated-FP8
This is an uncensored version of [Qwen/Qwen3-VL-4B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about i... | [] |
BAAI/Emu3-Stage1 | BAAI | 2024-10-23T10:15:53Z | 738 | 29 | transformers | [
"transformers",
"safetensors",
"Emu3",
"text-generation",
"any-to-any",
"custom_code",
"arxiv:2409.18869",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | any-to-any | 2024-10-21T02:16:32Z | <div align='center'>
<h1>Emu3: Next-Token Prediction is All You Need</h1h1>
<h3></h3>
[Emu3 Team, BAAI](https://www.baai.ac.cn/english.html)
| [Project Page](https://emu.baai.ac.cn) | [Paper](https://huggingface.co/papers/2409.18869) | [🤗HF Models](https://huggingface.co/collections/BAAI/emu3-66f4e64f70850ff358a2e60... | [] |
Crystalcareai/GemMoE-Base-Random | Crystalcareai | 2024-03-15T20:04:03Z | 222 | 26 | transformers | [
"transformers",
"safetensors",
"gemmoe",
"text-generation",
"custom_code",
"license:other",
"region:us"
] | text-generation | 2024-03-15T06:26:31Z | <p align="center">
<a href="https://ibb.co/wgSH65b">
<img src="https://i.ibb.co/JtvLkDb/Gemmoe-Logo.png" alt="Gemmoe-Logo" border="0">
</a>
</p>
# Using GemMoE (Beta)
> **Note:** If you wish to use GemMoE while it is in beta, you must add the flag `trust_remote_code=True` in your training/inference config.
... | [] |
OpenGVLab/InternVL3_5-8B | OpenGVLab | 2025-08-29T17:57:06Z | 54,230 | 94 | transformers | [
"transformers",
"safetensors",
"internvl_chat",
"feature-extraction",
"internvl",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"dataset:OpenGVLab/MMPR-Tiny",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2412.05271",
"arxiv:2411.1... | image-text-to-text | 2025-08-25T16:38:47Z | # InternVL3_5-8B
[\[📂 GitHub\]](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/pap... | [] |
MuXodious/GLM-4.7-Flash-absolute-heresy-GGUF | MuXodious | 2026-02-14T17:06:40Z | 1,501 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"text-generation",
"en",
"zh",
"arxiv:2508.06471",
"base_model:MuXodious/GLM-4.7-Flash-absolute-heresy",
"base_model:quantized:MuXodious/GLM-4.7-Flash-absolute-heresy",
"license:mit",
"endpoints_compatible",
"r... | text-generation | 2026-02-14T16:11:42Z | Static GGUF Quants of **GLM-4.7-Flash-absolute-heresy**.
---
This is a **GLM-4.7-Flash** fine-tune, produced through P-E-W's [Heretic](https://github.com/p-e-w/heretic) (v1.2.0) abliteration engine with [Magnitude-Preserving Orthogonal Ablation](https://github.com/p-e-w/heretic/pull/52) enabled.
**Note:** The model w... | [
{
"start": 521,
"end": 533,
"text": "Score Metric",
"label": "evaluation metric",
"score": 0.6470324993133545
}
] |
software-mansion/react-native-executorch-qwen-3 | software-mansion | 2026-04-10T00:02:49Z | 16,724 | 5 | null | [
"executorch",
"qwen3",
"text-generation",
"conversational",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-04-29T12:46:06Z | # Introduction
This repository hosts the **Qwen 3** models for the [React Native ExecuTorch](https://www.npmjs.com/package/react-native-executorch) library. It includes **unquantized** and **quantized** versions of the Qwen model in `.pte` format, ready for use in the **ExecuTorch** runtime.
If you'd like to run thes... | [] |
unsloth/Jan-nano-GGUF | unsloth | 2025-06-16T09:32:30Z | 979 | 11 | null | [
"gguf",
"unsloth",
"text-generation",
"base_model:Menlo/Jan-nano",
"base_model:quantized:Menlo/Jan-nano",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-06-16T05:44:15Z | <div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
<div style="display: flex; gap: 5px; align-items: center; ">
<a href="https://github.com/u... | [] |
lthn/LEM-Gemma3-4B | lthn | 2026-02-25T08:31:36Z | 836 | 1 | mlx | [
"mlx",
"safetensors",
"gemma3",
"gguf",
"lem",
"ethics",
"alignment",
"cymatic-linguistic-bpl",
"rocm",
"llama-cpp",
"text-generation",
"conversational",
"en",
"base_model:google/gemma-3-4b-it",
"base_model:quantized:google/gemma-3-4b-it",
"license:other",
"model-index",
"4-bit",
... | text-generation | 2026-02-24T23:23:04Z | # LEM-Gemma3-4B
Intrinsically aligned 4B language model trained using **Cymatic-Linguistic Back-Propagation** (CL-BPL). Ethics are in the weights, not in a system prompt.
**25th in the world for Instruction Following** on [LiveBench](https://livebench.ai/) — competing ... | [] |
blobbybob/Nemotron-3-Super-120B-A12B-GGUF-Claude-4.6-Opus-Reasoning-Distilled | blobbybob | 2026-03-19T12:03:23Z | 935 | 2 | null | [
"gguf",
"nemotron",
"reasoning",
"distillation",
"claude",
"moe",
"mamba2",
"fine-tuned",
"text-generation",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"base_model:nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16",
"base_model:quantized:nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16",
... | text-generation | 2026-03-19T09:56:51Z | > **Beta Release** - This is a beta release. A v2 is expected with more training data and improved training methodology. As of now, this model is fine-tuned exclusively on the [nohurry/Opus-4.6-Reasoning-3000x-filtered](https://huggingface.co/datasets/nohurry/Opus-4.6-Reasoning-3000x-filtered) dataset (2,326 reasoning ... | [] |
malifiahm/vehicle_classification | malifiahm | 2024-02-25T17:20:06Z | 211 | 1 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:google/vit-base-patch16-224-in21k",
"base_model:finetune:google/vit-base-patch16-224-in21k",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
... | image-classification | 2024-02-25T12:08:44Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vehicle_classification
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vi... | [
{
"start": 448,
"end": 456,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.9259924292564392
},
{
"start": 740,
"end": 753,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.6683669090270996
},
{
"start": 988,
"end": 992,
"text... |
Xlnk/Qwen3.5-4B-GGUF | Xlnk | 2026-03-03T12:08:26Z | 300 | 1 | null | [
"gguf",
"base_model:Qwen/Qwen3.5-4B",
"base_model:quantized:Qwen/Qwen3.5-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-03T12:08:25Z | ## 💫 Community Model> Qwen3.5-4B 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>
**Original model**: ... | [] |
mradermacher/Qwen3-4B-Apollo-V0.1-4B-Thinking-Heretic-Abliterated-GGUF | mradermacher | 2025-12-10T17:01:03Z | 341 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"en",
"base_model:DavidAU/Qwen3-4B-Apollo-V0.1-4B-Thinking-Heretic-Abliterated",
"base_model:quantized:DavidAU/Qwen3-4B-Apollo-V0.1-4B-Thinking-Heretic-Abliterated",
"endpoints_compatible",
"region:us",
... | null | 2025-12-10T07:52:09Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
ADSKAILab/Zero-To-CAD-Qwen3-VL-2B | ADSKAILab | 2026-05-03T15:00:41Z | 124 | 7 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"CAD",
"CadQuery",
"image-to-CAD",
"vision-language-model",
"3D-reconstruction",
"code-generation",
"parametric-CAD",
"image-to-text",
"en",
"code",
"dataset:ADSKAILab/Zero-To-CAD-1m",
"arxiv:2604.24479",
"base_model:Qw... | image-to-text | 2026-04-10T20:25:20Z | <p align="center">
<img src="assets/logo.png" alt="Zero-to-CAD" width="100%"/>
</p>
# Zero-to-CAD — Qwen3-VL-2B
**A vision-language model fine-tuned to reconstruct executable CAD programs from multi-view images.**
<p align="center">
<img src="assets/agentic.png" alt="Zero-to-CAD agentic synthesis pipeline" width... | [] |
towardsinnovationlab/Qwen3-8B-medical-gguf | towardsinnovationlab | 2026-03-10T14:36:54Z | 731 | 3 | null | [
"gguf",
"llama-cpp",
"qwen3",
"medical",
"quantized",
"text-generation",
"en",
"base_model:towardsinnovationlab/Qwen3-8B-medical",
"base_model:quantized:towardsinnovationlab/Qwen3-8B-medical",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-02-28T15:53:38Z | # Qwen3-8B-medical GGUF
This is the GGUF quantized version of [towardsinnovationlab/Qwen3-8B-medical](https://huggingface.co/towardsinnovationlab/Qwen3-8B-medical) for use with [llama.cpp](https://github.com/ggml-org/llama.cpp) and compatible tools.
## Model Description
This is a merged and quantized version of Qwen... | [] |
tzervas/qwen2.5-coder-32b-bitnet-1.58b | tzervas | 2026-01-29T13:54:34Z | 1,203 | 1 | safetensors | [
"safetensors",
"gguf",
"qwen2",
"bitnet",
"quantization",
"ternary",
"1.58-bit",
"qwen",
"qwen2.5",
"code",
"experimental",
"32b-architecture",
"text-generation",
"conversational",
"en",
"zh",
"base_model:Qwen/Qwen2.5-Coder-32B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-32... | text-generation | 2026-01-29T11:13:47Z | # Qwen2.5-Coder-32B-Instruct-BitNet-1.58b
**Architecture: 32 Billion Parameters** | BitNet 1.58-bit Ternary Quantization
---
> **IMPORTANT: Parameter Count Display**
>
> HuggingFace displays "9B params" because it counts packed bytes, not actual parameters.
> This model has the **full 32B parameter Qwen2.5-Coder arc... | [] |
Alibaba-DAMO-Academy/OmniCT-3B | Alibaba-DAMO-Academy | 2026-03-04T16:34:30Z | 150 | 2 | null | [
"safetensors",
"omnict_qwen2",
"medical",
"multimodal",
"report generation",
"Computed Tomography(CT)",
"VQA",
"image-text-to-text",
"conversational",
"en",
"arxiv:2602.16110",
"base_model:Qwen/Qwen2.5-3B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-3B-Instruct",
"license:apache-2.0",
"r... | image-text-to-text | 2026-03-04T07:56:05Z | <h2 align="center"><b>OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis</b></h2>
<p align="center">
<a href="https://arxiv.org/abs/2602.16110" target="_blank">📄 Paper</a>
<a href="https://huggingface.co/Alibaba-DAMO-Academy/OmniCT-3B" target="_blank">🤖 OmniCT-3B</a>
... | [] |
Lamapi/next-8b-Q4_K_M-GGUF | Lamapi | 2025-11-10T18:17:48Z | 773 | 1 | transformers | [
"transformers",
"gguf",
"turkish",
"türkiye",
"reasoning",
"ai",
"lamapi",
"gemma3",
"next",
"next-x1",
"text-generation",
"open-source",
"14b",
"large-language-model",
"llm",
"transformer",
"artificial-intelligence",
"machine-learning",
"nlp",
"multilingual",
"instruction-tu... | text-generation | 2025-11-10T17:02:07Z | # Lamapi/next-8b-Q4_K_M-GGUF
This model was converted to GGUF format from [`Lamapi/next-8b`](https://huggingface.co/Lamapi/next-8b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Lamapi/next-8b) for m... | [] |
mradermacher/spoomples-qwen3-14b-v0.2-i1-GGUF | mradermacher | 2026-02-26T16:11:57Z | 1,689 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"llama.cpp",
"unsloth",
"qwen3",
"roleplay",
"creative-writing",
"sft",
"en",
"dataset:aimeri/spoomplesmaxx-sft-small-olivia",
"base_model:aimeri/spoomples-qwen3-14b-v0.2",
"base_model:quantized:aimeri/spoomples-qwen3-14b-v0.2",
"license... | null | 2026-02-26T13:08:40Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
dllm-hub/Qwen3-0.6B-diffusion-mdlm-v0.1 | dllm-hub | 2026-04-13T23:44:30Z | 8,056 | 11 | transformers | [
"transformers",
"safetensors",
"a2d-qwen3",
"fill-mask",
"text-generation",
"conversational",
"custom_code",
"arxiv:2406.07524",
"arxiv:2602.22661",
"base_model:Qwen/Qwen3-0.6B",
"base_model:finetune:Qwen/Qwen3-0.6B",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-12-04T18:40:46Z | <center> <div style="text-align: center;"> <img src="https://raw.githubusercontent.com/ZHZisZZ/dllm/main/assets/logo.gif" width="400" />
</div> </center>
# Qwen3-0.6B-diffusion-mdlm-v0.1
Qwen3-0.6B-diffusion-mdlm-v0.1 is a diffusion-based language model adapted from [Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6... | [] |
Guizmus/SDArt_synesthesia | Guizmus | 2023-04-22T10:21:03Z | 1,047 | 1 | diffusers | [
"diffusers",
"stable-diffusion",
"text-to-image",
"image-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | 2023-04-09T05:49:08Z | # SDArt : Synesthesia (version based on 1.5)
## Theme
Dear @Challengers ,
> In a world where colors have flavor, and sounds have texture,
> The senses intertwine to create a sensory rapture.
> Welcome to “Synesthesia”- where th... | [] |
empero-ai/openNemo-9B | empero-ai | 2026-03-23T19:57:19Z | 1,854 | 2 | 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 | 2026-03-22T16:58:22Z | # openNemo
**Pure-PyTorch drop-in replacement for NVIDIA's Nemotron-H architecture.**
Removes all external CUDA kernel dependencies (`mamba-ssm`, `causal-conv1d`) and replaces them with native PyTorch operations, making the model fully compatible with **bitsandbytes quantization** (4-bit / ... | [] |
reedmayhew/PocketSurvivor-3B | reedmayhew | 2025-01-17T14:13:07Z | 161 | 4 | transformers | [
"transformers",
"gguf",
"llama",
"text-generation-inference",
"unsloth",
"en",
"dataset:reedmayhew/ApocalypticSurvival",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-01-14T04:51:07Z | # PocketSurvivor-3B
**Model Name:** PocketSurvivor-3B
**Developed by:** reedmayhew
**License:** Apache-2.0
**Base Model:** unsloth/llama-3.2-3b-instruct-bnb-4bit
## Overview
PocketSurvivor-3B is a highly optimized, lightweight language model specifically trained to assist individuals during critical situatio... | [] |
z-lab/gpt-oss-20b-DFlash | z-lab | 2026-04-07T14:38:21Z | 1,905 | 12 | transformers | [
"transformers",
"safetensors",
"qwen3",
"feature-extraction",
"dflash",
"speculative-decoding",
"diffusion",
"efficiency",
"flash-decoding",
"diffusion-language-model",
"gpt-oss",
"text-generation",
"custom_code",
"arxiv:2602.06036",
"license:mit",
"text-generation-inference",
"endpo... | text-generation | 2026-02-18T12:08:38Z | # gpt-oss-20b-DFlash
[**Paper**](https://arxiv.org/abs/2602.06036) | [**GitHub**](https://github.com/z-lab/dflash) | [**Blog**](https://z-lab.ai/projects/dflash/)
**DFlash** is a novel speculative decoding method that utilizes a lightweight **block diffusion** model for drafting. It enables efficient, high-quality par... | [] |
jet-ai/Jet-Nemotron-4B | jet-ai | 2025-09-28T18:24:36Z | 116 | 29 | transformers | [
"transformers",
"safetensors",
"jet_nemotron",
"text-generation",
"nvidia",
"pytorch",
"conversational",
"custom_code",
"en",
"arxiv:2508.15884",
"license:other",
"region:us"
] | text-generation | 2025-08-20T16:20:22Z | # Jet-Nemotron-4B
<div align="left">
<a href="https://hanlab.mit.edu/projects/jet-nemotron/"><img src="https://img.shields.io/static/v1?label=Website&message=Jet-Nemotron&color=darkred&logo=github-pages"></a>  
<a href="https://github.com/NVlabs/Jet-Nemotron/"><img src="https://img.shields.io/static/v1?label=... | [] |
bartowski/Nemotron-Mini-4B-Instruct-GGUF | bartowski | 2024-09-13T18:32:25Z | 898 | 19 | nemo | [
"nemo",
"gguf",
"text-generation",
"en",
"base_model:nvidia/Nemotron-Mini-4B-Instruct",
"base_model:quantized:nvidia/Nemotron-Mini-4B-Instruct",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-09-13T18:01:30Z | ## Llamacpp imatrix Quantizations of Nemotron-Mini-4B-Instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3715">b3715</a> for quantization.
Original model: https://huggingface.co/nvidia/Nemotron-Mini-4B-Instruct
All quan... | [] |
timm/mobilevit_s.cvnets_in1k | timm | 2025-01-21T18:14:29Z | 29,068 | 6 | timm | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"transformers",
"dataset:imagenet-1k",
"arxiv:2110.02178",
"license:other",
"region:us"
] | image-classification | 2023-04-24T22:23:00Z | # Model card for mobilevit_s.cvnets_in1k
A MobileViT image classification model. Trained on ImageNet-1k by paper authors.
See license details at https://github.com/apple/ml-cvnets/blob/main/LICENSE
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Params (M): 5.6
- G... | [] |
OpenMOSE/Qwen3.5-REAP-212B-A17B-GGUF | OpenMOSE | 2026-02-26T09:36:56Z | 3,861 | 5 | null | [
"gguf",
"base_model:OpenMOSE/Qwen3.5-REAP-212B-A17B",
"base_model:quantized:OpenMOSE/Qwen3.5-REAP-212B-A17B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-24T10:13:02Z | ## OpenMOSE/Qwen3.5-REAP-212B-A17B-GGUF
Vision–Language MoE model created by applying **Router-weighted Expert Activation Pruning (REAP)** to **Qwen3.5-397B-A17B**.
Now, 35% Version also available :) more strong, more stable
https://huggingface.co/OpenMOSE/Qwen3.5-REAP-262B-A17B-GGUF
---
### 1. Model Summary
* ... | [] |
mradermacher/Cydonia-24B-v4.3-absolute-heresy-i1-GGUF | mradermacher | 2026-01-21T23:47:07Z | 2,331 | 4 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:MuXodious/Cydonia-24B-v4.3-absolute-heresy",
"base_model:quantized:MuXodious/Cydonia-24B-v4.3-absolute-heresy",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-01-21T20:29:10Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 634,
"end": 674,
"text": "Cydonia-24B-v4.3-absolute-heresy-i1-GGUF",
"label": "benchmark name",
"score": 0.7035560011863708
},
{
"start": 748,
"end": 785,
"text": "Cydonia-24B-v4.3-absolute-heresy-GGUF",
"label": "benchmark name",
"score": 0.6323220133781433
... |
XiaomiMiMo/MiMo-VL-7B-RL-GGUF | XiaomiMiMo | 2025-06-08T14:22:41Z | 285 | 7 | null | [
"gguf",
"arxiv:2506.03569",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-06-08T13:30:49Z | <div align="center">
<picture>
<source srcset="https://github.com/XiaomiMiMo/MiMo-VL/raw/main/figures/Xiaomi_MiMo_darkmode.png?raw=true" media="(prefers-color-scheme: dark)">
<img src="https://github.com/XiaomiMiMo/MiMo-VL/raw/main/figures/Xiaomi_MiMo.png?raw=true" width="60%" alt="Xiaomi-MiMo" />
</picture... | [] |
warshanks/Qwen3-4B-Thinking-2507-AWQ | warshanks | 2025-08-06T16:37:40Z | 147 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-4B-Thinking-2507",
"base_model:quantized:Qwen/Qwen3-4B-Thinking-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"compressed-tensors",
"reg... | text-generation | 2025-08-06T16:37:22Z | # Qwen3-4B-Thinking-2507
<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Highlights
Over the past three months, we have continued ... | [] |
Qwen/Qwen2.5-3B-Instruct-GGUF | Qwen | 2024-09-20T06:34:33Z | 421,752 | 92 | null | [
"gguf",
"chat",
"text-generation",
"en",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-3B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-3B-Instruct",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-09-17T13:58:05Z | # Qwen2.5-3B-Instruct-GGUF
## Introduction
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
- Significantly **more... | [] |
facebook/wav2vec2-large-960h | facebook | 2022-04-05T16:40:42Z | 36,660 | 35 | transformers | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"speech",
"en",
"dataset:librispeech_asr",
"arxiv:2006.11477",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | automatic-speech-recognition | 2022-03-02T23:29:05Z | # Wav2Vec2-Large-960h
[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
The large 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.
[P... | [
{
"start": 901,
"end": 904,
"text": "WER",
"label": "evaluation metric",
"score": 0.7026686072349548
},
{
"start": 1217,
"end": 1220,
"text": "WER",
"label": "evaluation metric",
"score": 0.6807526350021362
}
] |
mradermacher/aya-expanse-8b-orthogonal-heretic-GGUF | mradermacher | 2026-02-19T06:40:05Z | 143 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"fr",
"de",
"es",
"it",
"pt",
"ja",
"ko",
"zh",
"ar",
"el",
"fa",
"pl",
"id",
"cs",
"he",
"hi",
"nl",
"ro",
"ru",
"tr",
"uk",
"vi",
"base_model:oncu/aya-expanse-8b-orthogonal... | null | 2026-02-18T18:31:31Z | ## 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... | [] |
t-tech/T-lite-it-2.1-FP8 | t-tech | 2025-12-22T18:32:49Z | 329 | 2 | null | [
"safetensors",
"qwen3",
"text-generation",
"conversational",
"ru",
"base_model:t-tech/T-lite-it-2.1",
"base_model:quantized:t-tech/T-lite-it-2.1",
"license:apache-2.0",
"compressed-tensors",
"region:us"
] | text-generation | 2025-12-19T11:14:56Z | # T-lite-it-2.1-FP8
> **Main BF16 model:** [t-tech/T-lite-it-2.1](https://huggingface.co/t-tech/T-lite-it-2.1)
**🚨 Users are advised to exercise caution and are responsible for any additional training and oversight required to ensure the model's responses meet acceptable ethical and safety standards. The responsibil... | [
{
"start": 1451,
"end": 1459,
"text": "enIFeval",
"label": "evaluation metric",
"score": 0.6383164525032043
},
{
"start": 1489,
"end": 1497,
"text": "ACEBench",
"label": "benchmark name",
"score": 0.6630734801292419
}
] |
typhoon-ai/typhoon-ocr-7b | typhoon-ai | 2026-01-22T06:55:28Z | 2,217 | 78 | transformers | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"OCR",
"vision-language",
"document-understanding",
"multilingual",
"conversational",
"en",
"th",
"arxiv:2601.14722",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-7B-Instruct",
"license:a... | image-text-to-text | 2025-05-14T13:54:08Z | **Typhoon-OCR-7B**: A bilingual document parsing model built specifically for real-world documents in Thai and English inspired by models like olmOCR based on Qwen2.5-VL-Instruction.
**Try our demo available on [Demo](https://ocr.opentyphoon.ai/)**
**Code / Examples available on [Github](https://github.com/scb-10x/ty... | [] |
bartowski/ServiceNow-AI_Apriel-1.6-15b-Thinker-GGUF | bartowski | 2025-12-12T18:11:19Z | 1,996 | 28 | null | [
"gguf",
"image-text-to-text",
"base_model:ServiceNow-AI/Apriel-1.6-15b-Thinker",
"base_model:quantized:ServiceNow-AI/Apriel-1.6-15b-Thinker",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-12-07T23:25:28Z | ## Llamacpp imatrix Quantizations of Apriel-1.6-15b-Thinker by ServiceNow-AI
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/b7340">b7340</a> for quantization.
Original model: https://huggingface.co/ServiceNow-AI/Apriel-1.6-15b-T... | [] |
mradermacher/Qwen3-VL-4B-Instruct-abliterated-GGUF | mradermacher | 2025-11-15T11:02:14Z | 1,048 | 2 | transformers | [
"transformers",
"gguf",
"trl",
"text-generation-inference",
"abliterated",
"v1.0",
"agent",
"en",
"base_model:prithivMLmods/Qwen3-VL-4B-Instruct-abliterated-v1",
"base_model:quantized:prithivMLmods/Qwen3-VL-4B-Instruct-abliterated-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us... | null | 2025-11-03T08:01:02Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
Synthyra/ESM2-3B | Synthyra | 2026-04-09T19:43:39Z | 180 | 1 | transformers | [
"transformers",
"safetensors",
"fast_esm",
"fill-mask",
"custom_code",
"arxiv:2412.05496",
"endpoints_compatible",
"region:us"
] | fill-mask | 2025-01-16T18:33:38Z | # NOTE
The GitHub with the implementation and requirements.txt can be found [here](https://github.com/Synthyra/FastPLMs.git)
# FastESM
FastESM is a Huggingface compatible plug in version of ESM2 rewritten with a newer PyTorch attention implementation.
Load any ESM2 models into a FastEsm model to dramatically sp... | [] |
DavidAU/Qwen3-128k-30B-A3B-NEO-MAX-Imatrix-gguf | DavidAU | 2026-04-28T04:39:58Z | 1,617 | 35 | null | [
"gguf",
"all use cases",
"creative",
"creative writing",
"all genres",
"tool calls",
"tool use",
"qwen3_moe",
"problem solving",
"deep thinking",
"reasoning",
"deep reasoning",
"story",
"writing",
"fiction",
"roleplaying",
"bfloat16",
"role play",
"sillytavern",
"backyard",
"... | text-generation | 2025-05-08T02:08:03Z | <small><B>Special note:</B> All quants of this model can be used on GPU and/or CPU/RAM only due to unique construction of the model. There are also several
versions of quant sizes with special features too.</small>
<H2>Qwen3-128k-30B-A3B-NEO-MAX-Imatrix-gguf</H2>
<img src="qwen3-30b-neo.jpg" style="float:right; width... | [
{
"start": 886,
"end": 890,
"text": "BF16",
"label": "benchmark name",
"score": 0.6154518723487854
}
] |
facebook/cotracker3 | facebook | 2024-10-16T11:10:07Z | 15,079 | 30 | cotracker | [
"cotracker",
"CoTracker",
"vision",
"arxiv:2410.11831",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-09-24T10:03:29Z | # Point tracking with CoTracker3
**CoTracker3** is a fast transformer-based model that was introduced in [CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos](https://arxiv.org/abs/2410.11831).
It can track any point in a video and brings to tracking some of the benefits of Optical Flow.
Y... | [] |
sentence-transformers/stsb-roberta-base-v2 | sentence-transformers | 2025-03-06T13:36:30Z | 125,621 | 6 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"tf",
"jax",
"onnx",
"safetensors",
"openvino",
"roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | sentence-similarity | 2022-03-02T23:29:05Z | # sentence-transformers/stsb-roberta-base-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you h... | [] |
mradermacher/DeepSeek-Prover-V2-7B-i1-GGUF | mradermacher | 2025-12-24T13:17:44Z | 220 | 3 | transformers | [
"transformers",
"gguf",
"en",
"base_model:deepseek-ai/DeepSeek-Prover-V2-7B",
"base_model:quantized:deepseek-ai/DeepSeek-Prover-V2-7B",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-26T17:17:52Z | ## 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_K... | [] |
mradermacher/Zora-9B-v0-GGUF | mradermacher | 2026-03-10T07:47:10Z | 824 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:Lambent/Zora-9B-v0",
"base_model:quantized:Lambent/Zora-9B-v0",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-10T07:12:32Z | ## 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... | [] |
Verdugie/Opus-Candid-8B-V3 | Verdugie | 2026-03-21T20:54:17Z | 228 | 1 | transformers | [
"transformers",
"gguf",
"conversational",
"personality",
"anti-sycophancy",
"bilingual",
"claude-distillation",
"opus",
"zipf-weighted",
"text-generation",
"en",
"es",
"base_model:Qwen/Qwen3-8B",
"base_model:quantized:Qwen/Qwen3-8B",
"license:apache-2.0",
"endpoints_compatible",
"reg... | text-generation | 2026-03-07T02:05:59Z | # can·did
/ˈkandəd/ — truthful and straightforward; frank.
*From Latin candidus, meaning white, pure, sincere. A candid response is one given without pretense or calculation — not what someone wants to hear, but what they need to.*
## Opus-Candid-8B V3
Fine-tuned from **Qwen 3 8B** on **1,558 Zipf-weighted conversati... | [] |
gpustack/bge-reranker-v2-m3-GGUF | gpustack | 2024-09-29T07:18:36Z | 6,163 | 30 | sentence-transformers | [
"sentence-transformers",
"gguf",
"transformers",
"text-embeddings-inference",
"text-classification",
"multilingual",
"arxiv:2312.15503",
"arxiv:2402.03216",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"feature-extraction"
] | text-classification | 2024-09-29T06:46:01Z | # bge-reranker-v2-m3-GGUF
**Model creator**: [BAAI](https://huggingface.co/BAAI)<br/>
**Original model**: [bge-reranker-v2-m3](https://huggingface.co/BAAI/bge-reranker-v2-m3)<br/>
**GGUF quantization**: based on llama.cpp release [f4d2b](https://github.com/ggerganov/llama.cpp/commit/f4d2b8846a6b34419ff9e9491aee6cd95e4... | [
{
"start": 735,
"end": 750,
"text": "relevance score",
"label": "evaluation metric",
"score": 0.7869958281517029
}
] |
bartowski/PocketDoc_Dans-PersonalityEngine-V1.2.0-24b-GGUF | bartowski | 2025-02-20T02:16:38Z | 10,576 | 30 | null | [
"gguf",
"general-purpose",
"roleplay",
"storywriting",
"chemistry",
"biology",
"code",
"climate",
"axolotl",
"text-generation-inference",
"finetune",
"text-generation",
"en",
"dataset:PocketDoc/Dans-MemoryCore-CoreCurriculum-Small",
"dataset:AquaV/US-Army-Survival-Sharegpt",
"dataset:A... | text-generation | 2025-02-20T00:05:22Z | ## Llamacpp imatrix Quantizations of Dans-PersonalityEngine-V1.2.0-24b by PocketDoc
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4738">b4738</a> for quantization.
Original model: https://huggingface.co/PocketDoc/Dans-Person... | [] |
facebook/seamless-m4t-v2-large | facebook | 2024-01-04T12:48:26Z | 85,489 | 965 | transformers | [
"transformers",
"safetensors",
"seamless_m4t_v2",
"feature-extraction",
"audio-to-audio",
"text-to-speech",
"seamless_communication",
"automatic-speech-recognition",
"af",
"am",
"ar",
"as",
"az",
"be",
"bn",
"bs",
"bg",
"ca",
"cs",
"zh",
"cy",
"da",
"de",
"el",
"en",
... | automatic-speech-recognition | 2023-11-29T14:37:04Z | # SeamlessM4T v2
**SeamlessM4T** is our foundational all-in-one **M**assively **M**ultilingual and **M**ultimodal **M**achine **T**ranslation model delivering high-quality translation for speech and text in nearly 100 languages.
SeamlessM4T models support the tasks of:
- Speech-to-speech translation (S2ST)
- Speech-t... | [] |
bartowski/nvidia_Llama-3_1-Nemotron-Ultra-253B-v1-GGUF | bartowski | 2025-05-04T16:32:09Z | 238 | 6 | null | [
"gguf",
"nvidia",
"llama-3",
"text-generation",
"en",
"base_model:nvidia/Llama-3_1-Nemotron-Ultra-253B-v1",
"base_model:quantized:nvidia/Llama-3_1-Nemotron-Ultra-253B-v1",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-04-08T06:16:36Z | ## Llamacpp imatrix Quantizations of Llama-3_1-Nemotron-Ultra-253B-v1 by nvidia
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b5270">b5270</a> for quantization.
Original model: https://huggingface.co/nvidia/Llama-3_1-Nemotron... | [] |
bartowski/LatitudeGames_Hearthfire-24B-GGUF | bartowski | 2025-12-18T22:47:46Z | 8,715 | 3 | null | [
"gguf",
"text adventure",
"roleplay",
"text-generation",
"en",
"base_model:LatitudeGames/Hearthfire-24B",
"base_model:quantized:LatitudeGames/Hearthfire-24B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-12-18T21:30:47Z | ## Llamacpp imatrix Quantizations of Hearthfire-24B by LatitudeGames
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/b7429">b7429</a> for quantization.
Original model: https://huggingface.co/LatitudeGames/Hearthfire-24B
All quan... | [] |
nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL-FP8 | nvidia | 2025-11-13T05:00:37Z | 304,252 | 48 | transformers | [
"transformers",
"safetensors",
"nvidia",
"VLM",
"FP8",
"image-text-to-text",
"conversational",
"arxiv:2501.14818",
"arxiv:2511.03929",
"license:other",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-10-22T19:11:21Z | # NVIDIA-Nemotron-Nano-VL-12B-V2-FP8
## Model Overview
### Description
NVIDIA-Nemotron-Nano-VL-12B-V2-FP8 is the quantized version of the NVIDIA Nemotron Nano VL V2 model, which is an auto-regressive vision language model that uses an optimized transformer architecture. For more information, please check [here](http... | [] |
legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF | legraphista | 2024-05-26T13:39:11Z | 1,047 | 12 | gguf | [
"gguf",
"quantized",
"GGUF",
"imatrix",
"quantization",
"imat",
"static",
"text-generation",
"base_model:deepseek-ai/DeepSeek-V2-Lite-Chat",
"base_model:quantized:deepseek-ai/DeepSeek-V2-Lite-Chat",
"region:us",
"conversational"
] | text-generation | 2024-05-26T11:10:29Z | # DeepSeek-V2-Lite-Chat-IMat-GGUF
_Llama.cpp imatrix quantization of deepseek-ai/DeepSeek-V2-Lite-Chat_
Original Model: [deepseek-ai/DeepSeek-V2-Lite-Chat](https://huggingface.co/deepseek-ai/DeepSeek-V2-Lite-Chat)
Original dtype: `BF16` (`bfloat16`)
Quantized by: llama.cpp fork [PR 7519](https://github.com/ggergan... | [] |
lmstudio-community/GLM-4.6V-Flash-MLX-4bit | lmstudio-community | 2025-12-08T18:32:29Z | 222,211 | 1 | transformers | [
"transformers",
"safetensors",
"glm4v",
"image-text-to-text",
"mlx",
"conversational",
"zh",
"en",
"base_model:zai-org/GLM-4.6V-Flash",
"base_model:quantized:zai-org/GLM-4.6V-Flash",
"license:mit",
"endpoints_compatible",
"4-bit",
"region:us"
] | image-text-to-text | 2025-12-08T18:31:44Z | ## 💫 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... | [] |
llmfan46/gemma-4-E2B-it-ultra-uncensored-heretic | llmfan46 | 2026-05-04T02:05:35Z | 117 | 3 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"any-to-any",
"base_model:google/gemma-4-E2B-it",
"base_model:finetune:google/gemma-4-E2B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | any-to-any | 2026-04-26T23:22:57Z | <div style="background-color: #ff4444; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
<h2 style="color: white; margin: 0 0 10px 0;">🚨⚠️ I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT ⚠️🚨</h2>
<p style="font-size: 18px; margin: 0 0 15px 0;">I can no longer upload new models u... | [] |
mradermacher/Qwen3.5-4B-abliterated-GGUF | mradermacher | 2026-03-12T11:21:21Z | 2,254 | 2 | transformers | [
"transformers",
"gguf",
"prometheus",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:wangzhang/Qwen3.5-4B-abliterated",
"base_model:quantized:wangzhang/Qwen3.5-4B-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-12T10:49:22Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 521,
"end": 548,
"text": "Qwen3.5-4B-abliterated-GGUF",
"label": "benchmark name",
"score": 0.6569266319274902
},
{
"start": 1200,
"end": 1204,
"text": "Q2_K",
"label": "benchmark name",
"score": 0.6196512579917908
}
] |
byteshape/Qwen3.5-35B-A3B-GGUF | byteshape | 2026-04-13T03:10:05Z | 3,800 | 19 | transformers | [
"transformers",
"gguf",
"qwen3.5",
"byteshape",
"image-text-to-text",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:quantized:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2026-04-10T20:42:35Z | # Qwen3.5-35B-A3B GGUF (ShapeLearn Quantized)
This is a GGUF-quantized version of Qwen3.5-35B-A3B produced with **ByteShape's ShapeLearn**, which learns the optimal datatype per tensor to maintain high quality even at very low bitlengths.
To learn more about ShapeLearn and to see detailed benchmarks across GPUs, CPUs... | [
{
"start": 2,
"end": 17,
"text": "Qwen3.5-35B-A3B",
"label": "benchmark name",
"score": 0.6081926822662354
},
{
"start": 24,
"end": 34,
"text": "ShapeLearn",
"label": "benchmark name",
"score": 0.7126820683479309
},
{
"start": 83,
"end": 98,
"text": "Qwen3... |
dealignai/Qwen3.5-397B-A17B-4bit-MLX-REAP | dealignai | 2026-03-07T19:23:19Z | 1,008 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"qwen3.5",
"moe",
"pruned",
"reap",
"apple-silicon",
"mac-studio",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3.5-397B-A17B",
"base_model:quantized:Qwen/Qwen3.5-397B-A17B",
"license:apache-2.0",
"4-bit",
"region:us"
] | text-generation | 2026-02-26T04:36:31Z | <!-- vmlx-banner -->
<div align="center">
<a href="https://vmlx.net">
<img src="vmlx-banner.png" width="240" />
<br/>
<strong>Built for vMLX</strong> — the only MLX inferencer with VL support, KV cache quantization, prefix cache reuse, agentic tool calling, and speculative decoding.
<br/>
<sub>Free for macOS · <strong>... | [] |
mradermacher/Huihui-Qwen3-30B-A3B-abliterated-Fusion-9010-i1-GGUF | mradermacher | 2025-12-04T19:48:47Z | 215 | 4 | transformers | [
"transformers",
"gguf",
"chat",
"Fusion",
"en",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-12T15:19:57Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K... | [] |
TigerKay/qwen35-sft-v2-gguf | TigerKay | 2026-03-01T19:46:16Z | 220 | 1 | null | [
"gguf",
"qwen3.5",
"vision",
"captioning",
"furry",
"multimodal",
"lora",
"fine-tuned",
"base_model:Qwen/Qwen3.5-35B-A3B",
"base_model:adapter:Qwen/Qwen3.5-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-01T18:31:49Z | # Qwen3.5-35B-A3B — Verbose Image Captioning (SFT v2)
Fine-tuned [Qwen3.5-35B-A3B](https://huggingface.co/Qwen/Qwen3.5-35B-A3B) for detailed image captioning with structured XML spatial reasoning.
## What it does
Given an image, the model generates:
1. A `<think>` block with XML spatial analysis (`<visual_par... | [] |
google/deplot | google | 2023-09-06T19:53:17Z | 8,284 | 316 | transformers | [
"transformers",
"pytorch",
"safetensors",
"pix2struct",
"image-text-to-text",
"visual-question-answering",
"en",
"fr",
"ro",
"de",
"multilingual",
"arxiv:2212.10505",
"license:apache-2.0",
"region:us"
] | visual-question-answering | 2023-04-03T11:05:38Z | # Model card for DePlot
<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/deplot_architecture.png"
alt="drawing" width="600"/>
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Using the model](#using-the-model)
2. [Contribution](#contribution)
3. [Citation](#c... | [] |
Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GGUF | Jackrong | 2026-04-06T02:20:06Z | 822,072 | 570 | null | [
"gguf",
"qwen3_5",
"unsloth",
"qwen",
"qwen3.5",
"reasoning",
"chain-of-thought",
"Dense",
"image-text-to-text",
"en",
"zh",
"dataset:nohurry/Opus-4.6-Reasoning-3000x-filtered",
"dataset:Jackrong/Qwen3.5-reasoning-700x",
"base_model:Qwen/Qwen3.5-27B",
"base_model:quantized:Qwen/Qwen3.5-2... | image-text-to-text | 2026-02-27T11:53:53Z | # 🌟 Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled
🔥 **Update (April 5):** I’ve released the complete training notebook, codebase, and a comprehensive PDF guide to help beginners and enthusiasts understand and reproduce this model's fine-tuning process.
> ❤️ Special thanks to the [**Unsloth**](https://unsloth.ai) ... | [] |
alexliap/Qwen3-Embedding-8B-FP8-DYNAMIC | alexliap | 2026-02-17T18:42:32Z | 2,683 | 1 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3",
"feature-extraction",
"transformers",
"sentence-similarity",
"text-embeddings-inference",
"fp8",
"quantized",
"compressed-tensors",
"vllm",
"arxiv:2506.05176",
"base_model:Qwen/Qwen3-Embedding-8B",
"base_model:quantized:Qwen/Qwen3-Embedding-... | feature-extraction | 2026-02-17T18:33:38Z | # Qwen3-Embedding-8B-FP8-DYNAMIC
> **FP8 dynamically quantized version of [Qwen/Qwen3-Embedding-8B](https://huggingface.co/Qwen/Qwen3-Embedding-8B).**
>
> Quantized using [llmcompressor](https://github.com/vllm-project/llm-compressor) with `FP8_DYNAMIC` scheme. All `Linear` layers are quantized to FP8 (weights per-cha... | [] |
unsloth/Qwen3.5-2B-GGUF | unsloth | 2026-03-02T14:07:35Z | 263,583 | 80 | transformers | [
"transformers",
"gguf",
"unsloth",
"image-text-to-text",
"base_model:Qwen/Qwen3.5-2B",
"base_model:quantized:Qwen/Qwen3.5-2B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2026-02-28T14:04:40Z | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<h1 style="margin-top: 0rem;">To run Qwen3.5 locally - <a href="https://unsloth.ai/docs/models/qwen3.5">Read our Guide!</a></h1>
</p>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://unsloth.ai/docs/basics/unsloth-dynamic-v2.0-gguf">Unsloth ... | [] |
microsoft/beit-base-patch16-224-pt22k-ft22k | microsoft | 2023-02-27T15:08:16Z | 211,917 | 82 | transformers | [
"transformers",
"pytorch",
"jax",
"beit",
"image-classification",
"vision",
"dataset:imagenet",
"dataset:imagenet-21k",
"arxiv:2106.08254",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | image-classification | 2022-03-02T23:29:05Z | # BEiT (base-sized model, fine-tuned on ImageNet-22k)
BEiT model pre-trained in a self-supervised fashion on ImageNet-22k - also called ImageNet-21k (14 million images, 21,841 classes) at resolution 224x224, and fine-tuned on the same dataset at resolution 224x224. It was introduced in the paper [BEIT: BERT Pre-Train... | [] |
mradermacher/gemma-4-E4B-it-heretic-GGUF | mradermacher | 2026-04-06T12:48:24Z | 1,687 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"en",
"base_model:coder3101/gemma-4-E4B-it-heretic",
"base_model:quantized:coder3101/gemma-4-E4B-it-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-05T14:50:29Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
amazon/chronos-bolt-small | amazon | 2025-11-21T12:54:10Z | 844,508 | 19 | chronos-forecasting | [
"chronos-forecasting",
"safetensors",
"t5",
"time series",
"forecasting",
"pretrained models",
"foundation models",
"time series foundation models",
"time-series",
"time-series-forecasting",
"arxiv:1910.10683",
"arxiv:2403.07815",
"license:apache-2.0",
"region:us"
] | time-series-forecasting | 2024-11-25T09:46:10Z | # Chronos-Bolt⚡ (Small)
🚀 **Update Feb 14, 2025**: Chronos-Bolt models are now available on Amazon SageMaker JumpStart! Check out the [tutorial notebook](https://github.com/amazon-science/chronos-forecasting/blob/main/notebooks/deploy-chronos-to-amazon-sagemaker.ipynb) to learn how to deploy Chronos endpoints for pro... | [] |
DavidAU/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking | DavidAU | 2026-04-14T05:56:20Z | 6,122 | 14 | null | [
"safetensors",
"gemma4",
"heretic",
"abliterated",
"uncensored",
"finetune",
"unsloth",
"all use cases",
"coder",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"s... | image-text-to-text | 2026-04-06T00:38:31Z | <small>NOTE: Updated Jinja templates, Apr 14 2026 to improve performance.</small>
<B>Smarter [beats the base model on 6 of 7 benchmarks ] and uncensored too.</B>
<h2>gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking</h2>
<img src="valhalla.webp" style="float:right; width:300px; height:300px; padding:10px;">
Ge... | [
{
"start": 398,
"end": 409,
"text": "THE DECKARD",
"label": "benchmark name",
"score": 0.7330039143562317
}
] |
DavidAU/Llama-3.1-128k-Dark-Planet-Uncensored-8B-GGUF | DavidAU | 2025-05-28T02:44:43Z | 769 | 9 | null | [
"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 prose",
"vivid writing",
"fiction",
"... | text-generation | 2025-04-15T05:26:38Z | <h2>Llama-3.1-128k-Dark-Planet-Uncensored-8B-GGUF</h2>
<img src="dark-planet.jpg" style="float:right; width:300px; height:300px; padding:10px;">
It is a LLama 3.1 model, max context of 128k, with additional de-censoring as well as additional steps to improve generation
and re-mastered source and ggufs in float 32 (32... | [] |
mradermacher/Mistral-Small-3.2-24B-Instruct-2506-Text-Only-heretic-GGUF | mradermacher | 2025-12-15T11:07:14Z | 131 | 2 | 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",
"conver... | null | 2025-12-15T02:00:08Z | ## 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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