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 |
|---|---|---|---|---|---|---|---|---|---|---|
yashpwr/resume-ner-bert-v2 | yashpwr | 2025-08-07T08:14:07Z | 2,191 | 13 | null | [
"safetensors",
"bert",
"resume-parsing",
"named-entity-recognition",
"ner",
"information-extraction",
"cv-parser",
"token-classification",
"en",
"dataset:resume-corpus",
"dataset:dataturks-resume-ner",
"dataset:custom-training-data",
"license:apache-2.0",
"region:us"
] | token-classification | 2025-08-07T08:05:22Z | # Resume NER BERT v2 - Advanced Resume Information Extraction
A state-of-the-art Named Entity Recognition (NER) model specifically designed for extracting structured information from resumes and CVs. This model achieves **90.87% F1 score** and is trained on a comprehensive dataset of **22,542 resume samples** from mul... | [] |
katanemo/Plano-Orchestrator-4B | katanemo | 2026-04-02T13:03:00Z | 293 | 8 | null | [
"safetensors",
"qwen3",
"text-generation",
"conversational",
"en",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:other",
"region:us"
] | text-generation | 2025-12-04T23:41:33Z | # katanemo/Plano-Orchestrator-4B
## Overview
**Plano-Orchestrator** is a family of state-of-the-art routing and orchestration models that decide which agent(s) or LLM(s) should handle each request, and in what sequence. Built for multi-agent orchestration systems, Plano-Orchestrator excels at analyzing user intent an... | [
{
"start": 2,
"end": 10,
"text": "katanemo",
"label": "benchmark name",
"score": 0.7178299427032471
},
{
"start": 11,
"end": 32,
"text": "Plano-Orchestrator-4B",
"label": "benchmark name",
"score": 0.6808802485466003
},
{
"start": 267,
"end": 285,
"text": ... |
hon9kon9ize/CantoneseLLMChat-v1.0-7B | hon9kon9ize | 2025-06-18T21:16:31Z | 758 | 8 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"qwen2",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"arxiv:2503.12440",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-10-02T08:17:17Z | # CantoneseLLMChat-v1.0-7B
Cantonese LLM Chat v1.0 is the first generation Cantonese LLM from hon9kon9ize.
Building upon the sucess of [v0.5 preview](https://huggingface.co/hon9kon9ize/CantoneseLLMChat-v0.5), the model excels in Hong Kong related specific knowledge and Cantonese ... | [] |
microsoft/BioGPT-Large | microsoft | 2023-02-05T06:18:14Z | 6,487 | 239 | transformers | [
"transformers",
"pytorch",
"biogpt",
"text-generation",
"medical",
"en",
"dataset:pubmed",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2023-02-03T16:17:26Z | ## BioGPT
Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain. Among the two main branches of pre-trained language models in the general language domain, i.e. BERT (and its variants) and GPT (and its variants),... | [
{
"start": 918,
"end": 926,
"text": "F1 score",
"label": "evaluation metric",
"score": 0.6889684200286865
}
] |
hemantn/ablang2 | hemantn | 2025-07-27T22:16:52Z | 302 | 3 | transformers | [
"transformers",
"ablang2-paired",
"biology",
"protein",
"antibody",
"ablang",
"pytorch",
"chemistry",
"oas",
"cdr",
"ablang2 hf implementation",
"roberta",
"ESM",
"ablang2",
"antibody-design",
"fill-mask",
"custom_code",
"license:mit",
"endpoints_compatible",
"region:us"
] | fill-mask | 2025-07-26T03:38:12Z | # 🧬 AbLang2: Transformer-based Antibody Language Model
This repository provides HuggingFace-compatible 🤗 implementation of the AbLang2 language model for antibodies. The original AbLang2 model was developed by the [Oxford Protein Informatics Group (OPIG)](https://opig.stats.ox.ac.uk/) and is available at:
- **AbLang... | [] |
Thireus/Qwen3.5-2B-THIREUS-IQ1_M-SPECIAL_SPLIT | Thireus | 2026-03-08T22:50:53Z | 313 | 1 | null | [
"gguf",
"arxiv:2505.23786",
"license:mit",
"region:us"
] | null | 2026-03-08T22:31:00Z | # Qwen3.5-2B
## 🤔 What is this [HuggingFace repository](https://huggingface.co/Thireus/Qwen3.5-2B-THIREUS-BF16-SPECIAL_SPLIT/) about?
This repository provides **GGUF-quantized tensors** for the Qwen3.5-2B model (official repo: https://huggingface.co/Qwen/Qwen3.5-2B). These GGUF shards are designed to be used with **... | [] |
mradermacher/Ewen3-4b-Instruct-2507-i1-GGUF | mradermacher | 2026-03-03T06:48:06Z | 1,569 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"abliteration",
"zh",
"en",
"dataset:Orion-zhen/harmful-data",
"base_model:Orion-zhen/Ewen3-4b-Instruct-2507",
"base_model:quantized:Orion-zhen/Ewen3-4b-Instruct-2507",
"license:agpl-3.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-03-03T06:13:18Z | ## 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/Cicikus_v2_3B-GGUF | mradermacher | 2026-03-13T03:12:04Z | 1,054 | 1 | transformers | [
"transformers",
"gguf",
"chat",
"text-generation-inference",
"agent",
"cicikuş",
"cicikus",
"prettybird",
"bce",
"consciousness",
"conscious",
"llm",
"optimized",
"ethic",
"secure",
"turkish",
"english",
"behavioral-consciousness-engine",
"model",
"reasoning",
"think",
"thi... | null | 2026-03-08T00:55:31Z | ## 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... | [
{
"start": 1152,
"end": 1156,
"text": "Q2_K",
"label": "benchmark name",
"score": 0.6387244462966919
}
] |
vjump21848/Z-Image-Turbo-Art-GGUF | vjump21848 | 2026-02-02T09:10:15Z | 141 | 1 | null | [
"gguf",
"base_model:wikeeyang/Z-Image-Turbo-Art",
"base_model:quantized:wikeeyang/Z-Image-Turbo-Art",
"license:apache-2.0",
"region:us"
] | null | 2026-02-01T19:36:10Z | # Z-Image-Turbo-Art with various GGUF versions.
## Z-Image-Turbo-Art
本模型为 [Z-Image](https://huggingface.co/Tongyi-MAI/Z-Image) 与 [Z-Image-Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) 的融合微调模型，抽取了部分 [Z-Image](https://huggingface.co/Tongyi-MAI/Z-Image) 基座模型的风格化能力，与 [Z-Image-Turbo](https://huggingface.co/Tongy... | [] |
ibm-nasa-geospatial/Prithvi-EO-2.0-600M | ibm-nasa-geospatial | 2025-10-09T14:13:05Z | 3,016 | 12 | terratorch | [
"terratorch",
"Pytorch",
"Earth Observation",
"Foundation Model",
"NASA",
"IBM",
"arxiv:2412.02732",
"license:apache-2.0",
"region:us"
] | null | 2024-12-02T09:32:56Z | # Prithvi-EO-2.0
Prithvi-EO-2.0 is the second generation EO foundation model jointly developed by IBM, NASA, and Jülich Supercomputing Centre.
## Architecture Overview
Prithvi-EO-2.0 is based on the ViT architecture, pretrained using a masked autoencoder (MAE) approach, with two major modifications as shown in the f... | [] |
inferencerlabs/NVIDIA-Nemotron-3-Super-120B-A12B-MLX-9bit | inferencerlabs | 2026-03-14T04:50:11Z | 4,550 | 6 | mlx | [
"mlx",
"safetensors",
"nemotron_h",
"quantized",
"text-generation",
"conversational",
"custom_code",
"en",
"base_model:nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16",
"base_model:quantized:nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16",
"8-bit",
"region:us"
] | text-generation | 2026-03-12T03:37:34Z | **See NVIDIA-Nemotron-3-Super-120B-A12B MLX in action - [demonstration video](https://youtu.be/MzeRCbnOg9Q)**
#### Tested on a M3 Ultra 512GB RAM using [Inferencer app v1.10.6](https://inferencer.com)
- Single inference ~33.7 tokens/s @ 1000 tokens
- Batched inference ~ total tokens/s across five inferences
- Memory u... | [
{
"start": 616,
"end": 630,
"text": "Token Accuracy",
"label": "evaluation metric",
"score": 0.8003563284873962
},
{
"start": 700,
"end": 704,
"text": "q3.5",
"label": "evaluation metric",
"score": 0.6662477254867554
},
{
"start": 784,
"end": 788,
"text": ... |
lmstudio-community/aya-23-8B-GGUF | lmstudio-community | 2024-05-23T16:43:17Z | 177 | 10 | transformers | [
"transformers",
"gguf",
"text-generation",
"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:CohereLabs/aya-23-8B",
"base_model:quantized:CohereLabs/aya-23-8B",
... | text-generation | 2024-05-23T16:02:11Z | ## 💫 Community Model> Aya 23 8B by Cohere For AI
*👾 [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:** [Cohere For AI](https://huggingface.co/CohereForAI)<... | [] |
tencent/Hunyuan-0.5B-Instruct | tencent | 2025-08-06T07:30:04Z | 994 | 58 | transformers | [
"transformers",
"safetensors",
"hunyuan_v1_dense",
"text-generation",
"conversational",
"base_model:tencent/Hunyuan-0.5B-Pretrain",
"base_model:finetune:tencent/Hunyuan-0.5B-Pretrain",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-07-30T03:13:14Z | <p align="center">
<img src="https://dscache.tencent-cloud.cn/upload/uploader/hunyuan-64b418fd052c033b228e04bc77bbc4b54fd7f5bc.png" width="400"/> <br>
</p><p></p>
<p align="center">
🤗 <a href="https://huggingface.co/tencent/"><b>HuggingFace</b></a> |
🤖 <a href="https://modelscope.cn/mo... | [] |
InstaDeepAI/nucleotide-transformer-v2-500m-multi-species | InstaDeepAI | 2025-10-22T15:09:11Z | 27,058 | 32 | transformers | [
"transformers",
"pytorch",
"joblib",
"safetensors",
"fill-mask",
"DNA",
"biology",
"genomics",
"custom_code",
"dataset:InstaDeepAI/multi_species_genome",
"dataset:InstaDeepAI/nucleotide_transformer_downstream_tasks",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | fill-mask | 2023-07-27T09:04:55Z | # nucleotide-transformer-v2-500m-multi-species
The Nucleotide Transformers are a collection of foundational language models that were pre-trained on DNA sequences from whole-genomes. Compared to other approaches, our models do not only integrate information from single reference genomes, but leverage DNA sequences fro... | [] |
Jiunsong/supergemma4-26b-abliterated-multimodal-mlx-8bit | Jiunsong | 2026-04-18T07:24:33Z | 1,582 | 12 | mlx | [
"mlx",
"safetensors",
"gemma4",
"multimodal",
"image-text-to-text",
"abliterated",
"uncensored",
"quantized",
"8-bit",
"apple-silicon",
"conversational",
"en",
"ko",
"base_model:Jiunsong/supergemma4-26b-abliterated-multimodal",
"base_model:quantized:Jiunsong/supergemma4-26b-abliterated-m... | image-text-to-text | 2026-04-12T09:39:57Z | [Support ongoing open-source work: ko-fi.com/jiunsong](https://ko-fi.com/jiunsong)
# SuperGemma4-26B-Abliterated-Multimodal MLX 8bit
This is the recommended Apple Silicon local-default build of [Jiunsong/supergemma4-26b-abliterated-multimodal](https://huggingface.co/Jiunsong/supergemma4-26b-abliterated-multimodal).
... | [] |
mradermacher/neo-3-3B-A400M-Base-i1-GGUF | mradermacher | 2026-01-01T19:08:01Z | 173 | 1 | transformers | [
"transformers",
"gguf",
"moe",
"continual-pretraining",
"synthetic-data",
"code",
"math",
"instruction-following",
"reasoning",
"en",
"dataset:NeuML/wikipedia-20250123",
"dataset:wikimedia/wikipedia",
"dataset:HuggingFaceTB/cosmopedia",
"dataset:HuggingFaceTB/smoltalk",
"dataset:HuggingF... | null | 2026-01-01T18:38:36Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [
{
"start": 620,
"end": 647,
"text": "neo-3-3B-A400M-Base-i1-GGUF",
"label": "benchmark name",
"score": 0.7057349681854248
},
{
"start": 721,
"end": 745,
"text": "neo-3-3B-A400M-Base-GGUF",
"label": "benchmark name",
"score": 0.61842942237854
},
{
"start": 1206,
... |
mradermacher/gemma-4-26B-A4B-it-ultra-uncensored-heretic-i1-GGUF | mradermacher | 2026-04-19T09:08:02Z | 11,295 | 6 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"en",
"base_model:llmfan46/gemma-4-26B-A4B-it-ultra-uncensored-heretic",
"base_model:quantized:llmfan46/gemma-4-26B-A4B-it-ultra-uncensored-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us"... | null | 2026-04-13T07:03:57Z | ## 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_... | [
{
"start": 644,
"end": 695,
"text": "gemma-4-26B-A4B-it-ultra-uncensored-heretic-i1-GGUF",
"label": "benchmark name",
"score": 0.6019420027732849
}
] |
RedHatAI/gemma-3n-E4B-it-FP8-dynamic | RedHatAI | 2026-04-28T22:27:50Z | 1,101 | 4 | null | [
"safetensors",
"gemma3n",
"gemma",
"gemma3",
"fp8",
"quantized",
"multimodal",
"conversational",
"text-generation-inference",
"automatic-speech-recognition",
"automatic-speech-translation",
"audio-text-to-text",
"video-text-to-text",
"text-generation",
"ca",
"hr",
"da",
"nl",
"en... | text-generation | 2025-08-01T15:20:23Z | <h1 style="display: flex; align-items: center; gap: 10px; margin: 0;">
gemma-3n-E4B-it-FP8-Dynamic
<img src="https://www.redhat.com/rhdc/managed-files/Catalog-Validated_model_0.png" alt="Model Icon" width="40" style="margin: 0; padding: 0;" />
</h1>
<a href="https://www.redhat.com/en/products/ai/validated-models... | [] |
hotchpotch/open-provence-reranker-v1-gte-modernbert-base | hotchpotch | 2025-11-22T01:12:05Z | 899 | 1 | null | [
"safetensors",
"open_provence",
"text-ranking",
"custom_code",
"en",
"dataset:hotchpotch/msmarco-context-relevance",
"dataset:hotchpotch/gooaq-context-relevance-130k",
"dataset:hotchpotch/natural-questions-context-relevance",
"arxiv:2501.16214",
"base_model:Alibaba-NLP/gte-reranker-modernbert-base... | text-ranking | 2025-10-29T09:54:15Z | # ✂️ OpenProvence: An Open-Source Implementation of Efficient and Robust Context Pruning for Retrieval-Augmented Generation
> ⚡️ Lightweight Provence-style rerankers that keep the answers and drop the noise for retrieval-augmented generation.
OpenProvence follows the [Provence](https://arxiv.org/abs/2501.16214) appro... | [
{
"start": 382,
"end": 397,
"text": "reranking score",
"label": "evaluation metric",
"score": 0.8111290335655212
},
{
"start": 1806,
"end": 1835,
"text": "MLDR long-document benchmarks",
"label": "benchmark name",
"score": 0.6257501244544983
}
] |
DavidAU/Qwen3-32B-128k-NEO-Imatrix-Max-GGUF | DavidAU | 2026-04-28T04:55:29Z | 352 | 5 | null | [
"gguf",
"horror",
"128 k context",
"reasoning",
"thinking",
"qwen3",
"text-generation",
"base_model:Qwen/Qwen3-32B",
"base_model:quantized:Qwen/Qwen3-32B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2025-05-02T07:21:18Z | <H2>Qwen3-32B-NEO-Imatrix-Max-GGUF</H2>
NEO Imatrix Quants of new "Qwen 3 - 32B" model with MAX "output tensor" at BF16 to improve reasoning / output generation.
NEO Imatrix dataset was generated in house.
1 example generation below.
Context length adjusted to 128k as per tech notes at Qwen's repo.
Imatrix effect... | [
{
"start": 98,
"end": 111,
"text": "output tensor",
"label": "evaluation metric",
"score": 0.6513299942016602
}
] |
Metric-AI/colqwen2.5-3b-multilingual | Metric-AI | 2025-07-28T06:55:47Z | 141 | 17 | peft | [
"peft",
"safetensors",
"vidore",
"multimodal_embedding",
"multilingual_embedding",
"Text-to-Visual Document (T→VD) retrieval",
"visual-document-retrieval",
"en",
"fr",
"es",
"it",
"de",
"dataset:openbmb/VisRAG-Ret-Train-Synthetic-data",
"dataset:openbmb/VisRAG-Ret-Train-In-domain-data",
... | visual-document-retrieval | 2025-02-01T14:49:38Z | # ColQwen2.5-3b-multilingual: Multilingual Visual Retriever based on Qwen2.5-VL-3B-Instruct with ColBERT strategy
## Ranked #1 among models smaller than 7B parameters and #3 overall on the Vidore benchmark (as of February 2, 2025). The reported scores on the [Vidore Leaderboard](https://huggingface.co/spaces/vidore/vi... | [
{
"start": 190,
"end": 196,
"text": "Vidore",
"label": "benchmark name",
"score": 0.819100558757782
},
{
"start": 261,
"end": 267,
"text": "Vidore",
"label": "benchmark name",
"score": 0.765853226184845
},
{
"start": 352,
"end": 367,
"text": "checkpoint-18... |
hkunlp/instructor-base | hkunlp | 2023-01-21T06:31:16Z | 11,962 | 120 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"t5",
"text-embedding",
"embeddings",
"information-retrieval",
"beir",
"text-classification",
"language-model",
"text-clustering",
"text-semantic-similarity",
"text-evaluation",
"prompt-retrieval",
"text-reranking",
"feature-extraction",
"sentence-si... | sentence-similarity | 2022-12-20T05:59:40Z | # hkunlp/instructor-base
We introduce **Instructor**👨🏫, an instruction-finetuned text embedding model that can generate text embeddings tailored to any task (e.g., classification, retrieval, clustering, text evaluation, etc.) and domains (e.g., science, finance, etc.) ***by simply providing the task instruction, wit... | [] |
mradermacher/AfroQwen3.5-2B-i1-GGUF | mradermacher | 2026-04-18T08:39:42Z | 2,610 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen3_5",
"en",
"base_model:Svngoku/AfroQwen3.5-2B",
"base_model:quantized:Svngoku/AfroQwen3.5-2B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-04-06T05:09:47Z | ## 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": 477,
"text": "AfroQwen3.5-2B",
"label": "benchmark name",
"score": 0.7220720648765564
},
{
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"end": 636,
"text": "AfroQwen3.5-2B-i1-GGUF",
"label": "benchmark name",
"score": 0.7707844972610474
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{
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... |
Qwen/Qwen2.5-14B-Instruct-1M | Qwen | 2025-01-29T12:38:27Z | 8,543 | 332 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2501.15383",
"base_model:Qwen/Qwen2.5-14B",
"base_model:finetune:Qwen/Qwen2.5-14B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-01-23T13:23:24Z | # Qwen2.5-14B-Instruct-1M
<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>
## Introduction
Qwen2.5-1M is the long-context version of... | [] |
tensorblock/llama3.2-1b-Uncensored-GGUF | tensorblock | 2026-01-27T21:33:00Z | 616 | 8 | transformers | [
"transformers",
"gguf",
"llama",
"uncensored",
"abliteration",
"TensorBlock",
"GGUF",
"text-generation",
"en",
"base_model:nztinversive/llama3.2-1b-Uncensored",
"base_model:quantized:nztinversive/llama3.2-1b-Uncensored",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-generation | 2024-11-26T08:50:17Z | <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... | [] |
mispeech/ced-mini | mispeech | 2026-03-30T12:31:07Z | 1,295 | 2 | transformers | [
"transformers",
"onnx",
"safetensors",
"ced",
"audio-classification",
"custom_code",
"dataset:AudioSet",
"arxiv:2308.11957",
"license:apache-2.0",
"region:us"
] | audio-classification | 2023-11-01T10:06:24Z | # CED-Mini Model
CED are simple ViT-Transformer-based models for audio tagging, achieving **sota** performance on Audioset.
| Model | Parameters (M) | AS-20K (mAP) | AS-2M (mAP) |
|------|-------|-------|-------|
| CED-Tiny | 5.5 | 36.5 | 48.1 |
| CED-Mini | 9.6 | 38.5 | 49.0 |
| CED-Small| 22 | 41.6 | 4... | [] |
athrael-soju/colqwen3.5-4.5B-v2 | athrael-soju | 2026-03-22T02:37:21Z | 126 | 1 | colpali_engine | [
"colpali_engine",
"safetensors",
"qwen3_5",
"visual-document-retrieval",
"colbert",
"late-interaction",
"multi-vector",
"lora",
"model-soup",
"en",
"fr",
"de",
"es",
"it",
"arxiv:2407.01449",
"base_model:Qwen/Qwen3.5-4B",
"base_model:adapter:Qwen/Qwen3.5-4B",
"license:apache-2.0",
... | visual-document-retrieval | 2026-03-13T18:47:45Z | # ColQwen3.5-4.5B-v2
A visual document retrieval model based on [Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B), trained using the [ColPali](https://arxiv.org/abs/2407.01449) late-interaction architecture. Generates multi-vector embeddings from document page images for token-level query-document matching via MaxS... | [
{
"start": 2,
"end": 20,
"text": "ColQwen3.5-4.5B-v2",
"label": "benchmark name",
"score": 0.870896577835083
},
{
"start": 66,
"end": 76,
"text": "Qwen3.5-4B",
"label": "benchmark name",
"score": 0.8578166365623474
},
{
"start": 106,
"end": 116,
"text": "Q... |
amazon/chronos-bolt-tiny | amazon | 2025-11-21T12:54:42Z | 680,727 | 28 | 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 | 2024-11-25T08:18:08Z | # Chronos-Bolt⚡ (Tiny)
🚀 **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 prod... | [] |
bartowski/yanolja_YanoljaNEXT-Rosetta-12B-2510-GGUF | bartowski | 2025-10-10T05:33:21Z | 554 | 2 | null | [
"gguf",
"text-generation",
"base_model:yanolja/YanoljaNEXT-Rosetta-12B-2510",
"base_model:quantized:yanolja/YanoljaNEXT-Rosetta-12B-2510",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-10T04:40:17Z | ## Llamacpp imatrix Quantizations of YanoljaNEXT-Rosetta-12B-2510 by yanolja
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/b6714">b6714</a> for quantization.
Original model: https://huggingface.co/yanolja/YanoljaNEXT-Rosetta-12... | [] |
newmindai/Mursit-Large-TR-Retrieval | newmindai | 2026-01-23T12:06:29Z | 277 | 6 | sentence-transformers | [
"sentence-transformers",
"onnx",
"safetensors",
"modernbert",
"sentence-similarity",
"feature-extraction",
"information-retrieval",
"dense-retrieval",
"turkish",
"legal",
"turkish-legal",
"mecellem",
"TRUBA",
"MN5",
"tr",
"en",
"dataset:newmindai/ms-marco-turkish-triplets",
"datase... | sentence-similarity | 2026-01-16T13:59:40Z | # Mursit-Large-TR-Retrieval
[](https://github.com/newmindai/mecellem-models) [](https://huggingface.co/spaces/newmindai/Mizan) [![License](https://img.shiel... | [
{
"start": 2,
"end": 27,
"text": "Mursit-Large-TR-Retrieval",
"label": "benchmark name",
"score": 0.7361195087432861
},
{
"start": 431,
"end": 456,
"text": "Mursit-Large-TR-Retrieval",
"label": "benchmark name",
"score": 0.7774271368980408
},
{
"start": 808,
"... |
arcee-ai/Llama-Spark-GGUF | arcee-ai | 2024-08-09T05:28:50Z | 253 | 9 | null | [
"gguf",
"text-generation",
"license:llama3.1",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2024-07-30T02:12:21Z | ## Llamacpp imatrix Quantizations of llama-spark-dpo-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/b3472">b3472</a> for quantization.
Original model: https://huggingface.co/arcee-train/llama-spark-dpo-v0.3
All quants ma... | [] |
mradermacher/Tema_Q-R4.2-i1-GGUF | mradermacher | 2026-01-14T02:30:31Z | 491 | 3 | transformers | [
"transformers",
"gguf",
"gemma2",
"transformer",
"instruction-tuned",
"multilingual",
"uncensored",
"non-censored",
"unfiltered",
"GGUF",
"ja",
"en",
"zh",
"base_model:temaq-org/Tema_Q-R4.2",
"base_model:quantized:temaq-org/Tema_Q-R4.2",
"license:gemma",
"endpoints_compatible",
"re... | null | 2025-12-10T21:48:46Z | ## 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_... | [] |
yresearch/swd-medium-6-steps | yresearch | 2026-03-12T14:51:54Z | 120 | 1 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"base_model:stabilityai/stable-diffusion-3.5-medium",
"base_model:finetune:stabilityai/stable-diffusion-3.5-medium",
"license:apache-2.0",
"region:us"
] | text-to-image | 2025-03-17T13:07:24Z | # Scale-wise Distillation SD3.5 Medium
Scale-wise Distillation (SwD) is a novel framework for accelerating diffusion models (DMs)
by progressively increasing spatial resolution during the generation process.
<br>SwD achieves significant speedups (2.5× to 10×) compared to full-resolution models
while maintaining or e... | [] |
eamiller34/Qwen2.5-Coder-7B-Swift-Lm | eamiller34 | 2026-02-20T01:58:06Z | 204 | 3 | transformers | [
"transformers",
"gguf",
"swift",
"swift6",
"ios",
"macos",
"code",
"qwen-2.5",
"ollie",
"clawfi",
"text-generation",
"en",
"base_model:Qwen/Qwen2.5-Coder-7B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-7B-Instruct",
"license:other",
"endpoints_compatible",
"region:us",
"conv... | text-generation | 2026-02-20T01:37:01Z | ## Model Summary
Qwen2.5-Coder-7B-Swift-Lm is a fine-tuned version of the Qwen2.5-Coder-7B-Instruct model, specifically optimized for high-performance Swift development.
## Key Features
Modern Swift Proficiency: Deeply familiar with Swift 6 Concurrency (Actors, Sendable) and the Observation framework (@Observable).
N... | [] |
CodeGoat24/UnifiedReward-2.0-qwen3vl-32b | CodeGoat24 | 2025-11-14T11:11:07Z | 218 | 2 | null | [
"safetensors",
"qwen3_vl",
"arxiv:2503.05236",
"base_model:Qwen/Qwen3-VL-32B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-32B-Instruct",
"license:mit",
"region:us"
] | null | 2025-11-14T05:38:57Z | ## Model Summary
`UnifiedReward-2.0-qwen3vl-32b` is the first unified reward model based on [Qwen/Qwen3-VL-32B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-32B-Instruct) for multimodal understanding and generation assessment, enabling both pairwise ranking and pointwise scoring, which can be employed for vision mode... | [] |
vincentzed-hf/Qwen3-Coder-Next-NVFP4 | vincentzed-hf | 2026-02-16T00:05:14Z | 1,980 | 7 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"qwen3_next",
"nvidia",
"ModelOpt",
"Qwen3CoderNext",
"quantized",
"NVFP4",
"nvfp4",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3-Coder-Next",
"base_model:quantized:Qwen/Qwen3-Coder-Next",
"license:mit",
"modelopt",
"region:us"
] | text-generation | 2026-02-04T04:47:14Z | # Model Overview
## Description:
The NVIDIA Qwen3-Coder-Next-NVFP4 model is a quantized version of Qwen's Qwen3-Coder-Next model, an autoregressive language model that uses an optimized Transformer architecture with Mixture of Experts (MoE). For more information, refer to the [Qwen3-Coder-Next model card](https://hugg... | [] |
mradermacher/Muse-Picaro-Union-i1-GGUF | mradermacher | 2025-12-31T21:29:34Z | 227 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:NewEden-Forge/Muse-Picaro-Union",
"base_model:quantized:NewEden-Forge/Muse-Picaro-Union",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-06T16:14:47Z | ## 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": 622,
"end": 647,
"text": "Muse-Picaro-Union-i1-GGUF",
"label": "benchmark name",
"score": 0.7043541073799133
},
{
"start": 1204,
"end": 1229,
"text": "Muse-Picaro-Union-i1-GGUF",
"label": "benchmark name",
"score": 0.687500536441803
},
{
"start": 1243,
... |
PaddlePaddle/PP-OCRv5_server_det | PaddlePaddle | 2025-07-22T10:03:07Z | 560,035 | 56 | PaddleOCR | [
"PaddleOCR",
"OCR",
"PaddlePaddle",
"textline_detection",
"image-to-text",
"en",
"zh",
"arxiv:1212.1442",
"license:apache-2.0",
"region:us"
] | image-to-text | 2025-06-04T12:28:02Z | # PP-OCRv5_server_det
## Introduction
PP-OCRv5_server_det is one of the PP-OCRv5_det series, the latest generation of text detection models developed by the PaddleOCR team. Designed for high-performance applications, it supports the detection of text in diverse scenarios—including handwriting, vertical, rotated, and ... | [
{
"start": 898,
"end": 905,
"text": "Average",
"label": "evaluation metric",
"score": 0.7653125524520874
}
] |
FreedomIntelligence/openPangu-Embedded-1B | FreedomIntelligence | 2025-08-21T05:25:38Z | 4,078 | 6 | null | [
"safetensors",
"PanguEmbedded",
"Dense",
"text-generation",
"conversational",
"custom_code",
"zh",
"en",
"license:other",
"region:us"
] | text-generation | 2025-08-21T02:41:59Z | English | [中文](README_ZH.md)
## 1. Model Overview
**openPangu-Embedded-1B** is a high-efficiency language model trained from scratch on Ascend NPU. It has **1B parameters** (excluding vocabulary embeddings), with a **26-layer Dense architecture**, trained on approximately **10T tokens**.
Through model architecture ... | [
{
"start": 54,
"end": 75,
"text": "openPangu-Embedded-1B",
"label": "benchmark name",
"score": 0.895280122756958
},
{
"start": 407,
"end": 428,
"text": "openPangu-Embedded-1B",
"label": "benchmark name",
"score": 0.8638415336608887
},
{
"start": 536,
"end": 55... |
HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive | HauhauCS | 2026-04-24T00:21:01Z | 75,561 | 134 | null | [
"gguf",
"uncensored",
"qwen3.6",
"vision",
"multimodal",
"image-text-to-text",
"en",
"zh",
"multilingual",
"base_model:Qwen/Qwen3.6-27B",
"base_model:quantized:Qwen/Qwen3.6-27B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | image-text-to-text | 2026-04-22T17:47:49Z | # Qwen3.6-27B-Uncensored-HauhauCS-Aggressive
> **[Join the Discord](https://discord.gg/SZ5vacTXYf)** for updates, roadmaps, projects, or just to chat.
Qwen3.6-27B uncensored by HauhauCS. **0/465 Refusals.** \*
> **Not sure which variant to pick?** 99.9%+ of users should use [**Balanced**](https://huggingface.co/Hauh... | [
{
"start": 2,
"end": 44,
"text": "Qwen3.6-27B-Uncensored-HauhauCS-Aggressive",
"label": "benchmark name",
"score": 0.8770852088928223
},
{
"start": 153,
"end": 164,
"text": "Qwen3.6-27B",
"label": "benchmark name",
"score": 0.9258086681365967
},
{
"start": 325,
... |
StentorLabs/Portimbria-150M | StentorLabs | 2026-04-24T02:29:05Z | 1,142 | 9 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"small-language-model",
"efficient",
"edge-deployment",
"speculative-decoding",
"150m-parameters",
"tpu-trained",
"research",
"low-resource",
"portimbria",
"gqa",
"fineweb",
"conversational",
"en",
"dataset:epfml/FineWeb-HQ... | text-generation | 2026-04-09T05:10:24Z | <div align="center">
# Portimbria-150M
![Hardware](https://img.shields.io/badge/hardware-TPU%20v5e--8-red.... | [] |
fixie-ai/ultravox-v0_5-glm-4_5-355b | fixie-ai | 2025-09-12T04:38:20Z | 1,240 | 3 | transformers | [
"transformers",
"safetensors",
"ultravox",
"feature-extraction",
"audio-text-to-text",
"custom_code",
"ar",
"be",
"bg",
"bn",
"cs",
"cy",
"da",
"de",
"el",
"en",
"es",
"et",
"fa",
"fi",
"fr",
"gl",
"hi",
"hu",
"it",
"ja",
"ka",
"lt",
"lv",
"mk",
"mr",
"n... | audio-text-to-text | 2025-09-11T21:53:00Z | # Model Card for Ultravox
Ultravox is a multimodal Speech LLM built around a pretrained [GLM-4.5](https://huggingface.co/zai-org/GLM-4.5) and [whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) backbone.
See https://ultravox.ai for the GitHub repo and more information.
## Model Details
#... | [] |
bartowski/zai-org_GLM-4.6V-GGUF | bartowski | 2025-12-17T21:32:09Z | 215 | 5 | null | [
"gguf",
"image-text-to-text",
"zh",
"en",
"base_model:zai-org/GLM-4.6V",
"base_model:quantized:zai-org/GLM-4.6V",
"license:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | image-text-to-text | 2025-12-08T20:24:44Z | ## Llamacpp imatrix Quantizations of GLM-4.6V by zai-org
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/zai-org/GLM-4.6V
All quants made using imatrix op... | [] |
willworker/Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-Q6_K-GGUF | willworker | 2026-04-30T17:29:12Z | 225 | 1 | transformers | [
"transformers",
"gguf",
"unsloth",
"fine tune",
"heretic",
"uncensored",
"abliterated",
"multi-stage tuned.",
"all use cases",
"coder",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",... | image-text-to-text | 2026-04-30T17:28:07Z | # willworker/Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-Q6_K-GGUF
This model was converted to GGUF format from [`DavidAU/Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking`](https://huggingface.co/DavidAU/Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking) using llama.cpp ... | [] |
0xSero/gemma-4-21b-a4b-it-REAP | 0xSero | 2026-04-17T16:16:42Z | 4,915 | 88 | transformers | [
"transformers",
"safetensors",
"gemma4",
"image-text-to-text",
"moe",
"pruning",
"reap",
"cerebras",
"expert-pruning",
"text-generation",
"conversational",
"en",
"arxiv:2510.13999",
"license:gemma",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-05T14:03:06Z | > [!TIP]
> Support this work: **[donate.sybilsolutions.ai](https://donate.sybilsolutions.ai)**
>
> REAP surfaces: [GLM](https://huggingface.co/spaces/0xSero/reap-glm-family) | [MiniMax](https://huggingface.co/spaces/0xSero/reap-minimax-family) | [Qwen](https://huggingface.co/spaces/0xSero/reap-qwen-family) | [Gemma](h... | [] |
mradermacher/GUI-Owl-1.5-4B-Instruct-GGUF | mradermacher | 2026-02-20T09:28:02Z | 273 | 1 | transformers | [
"transformers",
"gguf",
"arxiv:2602.16855",
"en",
"base_model:mPLUG/GUI-Owl-1.5-4B-Instruct",
"base_model:quantized:mPLUG/GUI-Owl-1.5-4B-Instruct",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-02-15T07:13:49Z | ## 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... | [] |
SimplySara/LocoOperator-4B-GGUF | SimplySara | 2026-02-25T06:15:32Z | 1,814 | 3 | transformers | [
"transformers",
"gguf",
"code",
"agent",
"tool-calling",
"distillation",
"qwen3",
"llama-cpp",
"text-generation",
"en",
"base_model:LocoreMind/LocoOperator-4B",
"base_model:quantized:LocoreMind/LocoOperator-4B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-02-25T05:42:13Z | # This is a static quantization of [LocoreMind/LocoOperator-4B](https://huggingface.co/LocoreMind/LocoOperator-4B), made by [SimplySara](https://huggingface.co/SimplySara)
| Model | Size_GB | BPW | PPL_Q | KLD_Mean | KLD_Max | Top_P_Match |
|:----------------------------------... | [
{
"start": 235,
"end": 240,
"text": "PPL_Q",
"label": "evaluation metric",
"score": 0.698046088218689
},
{
"start": 245,
"end": 253,
"text": "KLD_Mean",
"label": "evaluation metric",
"score": 0.7331729531288147
},
{
"start": 258,
"end": 265,
"text": "KLD_M... |
Qwen/Qwen2-Audio-7B-Instruct | Qwen | 2025-01-12T02:05:48Z | 358,979 | 527 | transformers | [
"transformers",
"safetensors",
"qwen2_audio",
"text2text-generation",
"chat",
"audio",
"audio-text-to-text",
"en",
"arxiv:2407.10759",
"arxiv:2311.07919",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | audio-text-to-text | 2024-07-31T09:22:21Z | # Qwen2-Audio-7B-Instruct
<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>
## Introduction
Qwen2-Audio is the new series of Qwen lar... | [] |
facebook/musicgen-small | facebook | 2023-11-17T13:56:10Z | 115,412 | 480 | transformers | [
"transformers",
"pytorch",
"safetensors",
"musicgen",
"text-to-audio",
"arxiv:2306.05284",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | text-to-audio | 2023-06-08T17:28:01Z | # MusicGen - Small - 300M
MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts.
It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.
Unlike existing methods, like... | [] |
mradermacher/Fat_Fish-GGUF | mradermacher | 2026-03-12T11:06:15Z | 816 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:SicariusSicariiStuff/Fat_Fish",
"base_model:quantized:SicariusSicariiStuff/Fat_Fish",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-12T08:46:36Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
stabilityai/stablelm-2-1_6b | stabilityai | 2024-07-10T11:59:18Z | 7,629 | 194 | 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 | 2024-01-18T15:49:15Z | # `Stable LM 2 1.6B`
Please note: For commercial use, please refer to https://stability.ai/license
## Model Description
`Stable LM 2 1.6B` is a 1.6 billion parameter decoder-only language model pre-trained on 2 trillion tokens of diverse multilingual and code datasets for two epochs.
## Usage
Get started generatin... | [] |
lmstudio-community/Qwen3-VL-32B-Thinking-MLX-8bit | lmstudio-community | 2025-10-31T18:49:17Z | 1,714 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"mlx",
"conversational",
"base_model:Qwen/Qwen3-VL-32B-Thinking",
"base_model:quantized:Qwen/Qwen3-VL-32B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
"8-bit",
"region:us"
] | image-text-to-text | 2025-10-31T18:48:31Z | ## 💫 Community Model> Qwen3-VL-32B-Thinking 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>
**Origina... | [] |
apple/coreml-stable-diffusion-v1-5 | apple | 2023-05-01T07:31:34Z | 248 | 69 | null | [
"coreml",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"core-ml",
"arxiv:2207.12598",
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"arxiv:1910.09700",
"license:other",
"region:us"
] | text-to-image | 2022-12-01T12:53:15Z | # Stable Diffusion v1-5 Model Card
This model was generated by Hugging Face using [Apple’s repository](https://github.com/apple/ml-stable-diffusion) which has [ASCL](https://github.com/apple/ml-stable-diffusion/blob/main/LICENSE.md).
Stable Diffusion is a latent text-to-image diffusion model capable of generating pho... | [] |
mradermacher/zen-nano-4b-thinking-i1-GGUF | mradermacher | 2025-12-05T00:35:45Z | 701 | 1 | transformers | [
"transformers",
"gguf",
"en",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-09-26T09:09:41Z | ## 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_... | [] |
mradermacher/Frozen-Tundra-12B-i1-GGUF | mradermacher | 2025-12-23T21:00:09Z | 187 | 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 | 2025-12-23T19:17:42Z | ## 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_... | [] |
dealignai/Qwen3.5-VL-9B-8bit-MLX-CRACK | dealignai | 2026-05-01T22:08:08Z | 523 | 1 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"qwen3.5",
"abliterated",
"uncensored",
"vision",
"vlm",
"8bit",
"apple-silicon",
"crack",
"vl",
"standalone",
"image-text-to-text",
"conversational",
"license:apache-2.0",
"8-bit",
"region:us"
] | image-text-to-text | 2026-03-02T23:58:18Z | <!-- 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>... | [] |
NVFP4/Qwen3-30B-A3B-Instruct-2507-FP4 | NVFP4 | 2025-08-01T01:01:12Z | 75,463 | 13 | Model Optimizer | [
"Model Optimizer",
"safetensors",
"qwen3_moe",
"nvidia",
"ModelOpt",
"Qwen3",
"quantized",
"FP4",
"text-generation",
"conversational",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-30B-A3B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-30B-A3B-Instruct-2507",
"license:apache-2.0",
"8-bit"... | text-generation | 2025-08-01T00:19:54Z | # Qwen3-30B-A3B-Instruct-2507
<a href="https://chat.qwen.ai/?model=Qwen3-30B-A3B-2507" 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
We introduce the... | [] |
mradermacher/Moonlit-Umbra-12B-i1-GGUF | mradermacher | 2025-12-17T15:00:10Z | 128 | 1 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"roleplay",
"en",
"base_model:Vortex5/Moonlit-Umbra-12B",
"base_model:quantized:Vortex5/Moonlit-Umbra-12B",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2025-12-17T11:19:01Z | ## 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_... | [
{
"start": 617,
"end": 642,
"text": "Moonlit-Umbra-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.633139967918396
},
{
"start": 1199,
"end": 1224,
"text": "Moonlit-Umbra-12B-i1-GGUF",
"label": "benchmark name",
"score": 0.6355021595954895
},
{
"start": 1379,
... |
unsloth/gemma-4-E2B-it-unsloth-bnb-4bit | unsloth | 2026-05-04T11:28:28Z | 128,410 | 6 | null | [
"safetensors",
"gemma4",
"unsloth",
"gemma",
"google",
"image-text-to-text",
"conversational",
"base_model:google/gemma-4-E2B-it",
"base_model:quantized:google/gemma-4-E2B-it",
"license:apache-2.0",
"4-bit",
"bitsandbytes",
"region:us"
] | image-text-to-text | 2026-04-02T18:57:17Z | # Read our How to [Run Gemma 4 Guide!](https://docs.unsloth.ai/models/gemma-4)
<div>
<p style="margin-top: 0;margin-bottom: 0;">
<em>See <a href="https://unsloth.ai/docs/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0 GGUFs</a> for our quantization benchmarks.</em>
</p>
<div style="display: flex; gap: 5px... | [
{
"start": 70,
"end": 77,
"text": "gemma-4",
"label": "benchmark name",
"score": 0.6428424715995789
},
{
"start": 715,
"end": 722,
"text": "gemma-4",
"label": "benchmark name",
"score": 0.6646020412445068
},
{
"start": 1034,
"end": 1041,
"text": "gemma-4",... |
facebook/drama-1b | facebook | 2025-03-04T19:06:05Z | 1,185 | 14 | transformers | [
"transformers",
"safetensors",
"llama",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"custom_code",
"ar",
"bn",
"zh",
"en",
"fi",
"fr",
"de",
"hi",
"id",
"it",
"ja",
"ko",
"fa",
"pt",
"ru",
"es",
"sw",
"te",
"th",
"yo",
"arxiv:2502.18460... | sentence-similarity | 2025-02-25T00:36:54Z | # DRAMA-1B: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers
DRAMA-1B is a dense retrieval model built upon a pruned large language model backbone. It is derived by pruning a large language model and fine-tuned for efficient and generalizable multilingual text retrieval.
By leveraging large ... | [] |
mradermacher/DeepBrainz-R1-4B-GGUF | mradermacher | 2026-02-04T10:26:15Z | 222 | 1 | transformers | [
"transformers",
"gguf",
"deepbrainz",
"reasoning",
"mathematics",
"code",
"enterprise",
"4b",
"long-context",
"32k",
"en",
"base_model:DeepBrainz/DeepBrainz-R1-4B",
"base_model:quantized:DeepBrainz/DeepBrainz-R1-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"convers... | null | 2026-02-04T09:07:31Z | ## 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... | [] |
geoffmunn/Qwen3-4B-f16 | geoffmunn | 2026-03-13T08:36:04Z | 39,945 | 4 | null | [
"gguf",
"qwen",
"qwen3",
"qwen3-4b",
"qwen3-4b-gguf",
"llama.cpp",
"quantized",
"text-generation",
"reasoning",
"agent",
"chat",
"multilingual",
"imatrix",
"q3_hifi",
"q4_hifi",
"q5_hifi",
"en",
"zh",
"es",
"fr",
"de",
"ru",
"ar",
"ja",
"ko",
"hi",
"base_model:Qwe... | text-generation | 2025-09-16T08:52:40Z | # Qwen3-4B-f16-GGUF
This is a **GGUF-quantized version** of the **[Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B)** language model — a powerful **4-billion-parameter** LLM from Alibaba's Qwen series, designed for **strong reasoning, agentic workflows, and multilingual fluency** on consumer-grade hardware.
Conve... | [] |
ContextualAI/ctxl-rerank-v2-instruct-multilingual-1b | ContextualAI | 2025-12-22T16:05:42Z | 48,252 | 12 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"text-ranking",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | text-ranking | 2025-08-19T21:08:51Z | <div align="center">
# Contextual AI Reranker v2 1B
<img src="Contextual_AI_Brand_Mark_Dark.png" width="10%" alt="Contextual_AI"/>
[](https://contextual.ai/blog/rerank-v2)
[![Hugging Face Collection](https://img.shields.io/badge/🤗%20Huggin... | [
{
"start": 695,
"end": 699,
"text": "BEIR",
"label": "evaluation metric",
"score": 0.6699608564376831
}
] |
namdp-ptit/ViRanker | namdp-ptit | 2025-06-16T02:21:36Z | 40,619 | 16 | transformers | [
"transformers",
"safetensors",
"xlm-roberta",
"text-classification",
"cross-encoder",
"rerank",
"vi",
"base_model:BAAI/bge-m3",
"base_model:finetune:BAAI/bge-m3",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2024-08-14T02:58:28Z | # Reranker
* [Usage](#usage)
* [Using FlagEmbedding](#using-flagembedding)
* [Using Huggingface transformers](#using-huggingface-transformers)
* [Fine tune](#fine-tune)
* [Data format](#data-format)
* [Performance](#performance)
* [Contact](#contact)
* [Support The Project](#support-the-project)
* [Citatio... | [
{
"start": 229,
"end": 240,
"text": "performance",
"label": "evaluation metric",
"score": 0.6814607381820679
},
{
"start": 479,
"end": 494,
"text": "relevance score",
"label": "evaluation metric",
"score": 0.7789402604103088
}
] |
mradermacher/gemma-4-31B-it-heretic-v2-GGUF | mradermacher | 2026-04-14T11:41:53Z | 2,201 | 1 | transformers | [
"transformers",
"gguf",
"en",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-10T12:22:17Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: 1 -->
static ... | [] |
SanjiWatsuki/Kunoichi-7B | SanjiWatsuki | 2024-01-10T09:31:19Z | 700 | 88 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"license:cc-by-nc-4.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-01-04T09:57:02Z | 
<!-- description start -->
## Description
This repository hosts **Kunoichi-7B**, an general purpose model capable of RP. In both my testing and the benchmarks, Kunoichi is an extremely strong model, keeping the advantages o... | [
{
"start": 597,
"end": 605,
"text": "MT Bench",
"label": "evaluation metric",
"score": 0.6285410523414612
},
{
"start": 608,
"end": 616,
"text": "EQ Bench",
"label": "evaluation metric",
"score": 0.6194057464599609
},
{
"start": 714,
"end": 725,
"text": "G... |
bartowski/TheDrummer_Anubis-70B-v1.2-GGUF | bartowski | 2026-01-21T11:49:44Z | 3,993 | 3 | null | [
"gguf",
"text-generation",
"base_model:TheDrummer/Anubis-70B-v1.2",
"base_model:quantized:TheDrummer/Anubis-70B-v1.2",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | 2026-01-21T05:08:20Z | ## Llamacpp imatrix Quantizations of Anubis-70B-v1.2 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/b7779">b7779</a> for quantization.
Original model: https://huggingface.co/TheDrummer/Anubis-70B-v1.2
All quants m... | [] |
Intel/GLM-4.7-int4-mixed-AutoRound | Intel | 2025-12-31T08:31:15Z | 412 | 25 | null | [
"safetensors",
"glm4_moe",
"text-generation",
"conversational",
"arxiv:2309.05516",
"base_model:zai-org/GLM-4.7",
"base_model:quantized:zai-org/GLM-4.7",
"4-bit",
"auto-round",
"region:us"
] | text-generation | 2025-12-29T12:07:57Z | ## Model Details
This model is a mixed int4 model with group_size 128 and symmetric quantization of [zai-org/GLM-4.7](https://huggingface.co/zai-org/GLM-4.7) generated by [intel/auto-round](https://github.com/intel/auto-round) **via RTN(without algorithm tuning)**.
Non expert layers are fallback to 8 bits. Please ref... | [] |
developerJenis/GT-REX-v4 | developerJenis | 2026-02-12T11:22:44Z | 137 | 2 | null | [
"safetensors",
"deepseek_vl_v2",
"ocr",
"vision-language",
"document-understanding",
"gothitech",
"document-ai",
"text-extraction",
"invoice-processing",
"production",
"handwriting-recognition",
"table-extraction",
"image-text-to-text",
"custom_code",
"en",
"multilingual",
"license:m... | image-text-to-text | 2026-02-12T09:53:36Z | # GT-REX-v4: Production OCR Model
<p align="center">
<strong>🦖 GothiTech Recognition & Extraction eXpert — Version 4</strong>
</p>
<p align="center">
<a href="https://huggingface.co/developerJenis/GT-REX-v4"><img src="https://img.shields.io/badge/🤗_Model-GT--REX--v4-blue" alt="Model"></a>
<a href="#"><img src... | [] |
Metric-AI/armenian-text-embeddings-2-base | Metric-AI | 2026-03-25T06:21:45Z | 304 | 3 | transformers | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"sentence-transformers",
"ArmBench-TextEmbed",
"en",
"hy",
"dataset:Metric-AI/reddit_10K_hye",
"arxiv:2603.22290",
"base_model:intfloat/multilingual-e5-base",
"base_model:finetune:intfloat/multilingual-e5-base",
"license:mit... | feature-extraction | 2026-03-13T06:05:33Z | # Armenian-Text-Embeddings-2 (ATE-2)
## Model Details
- **Model Name**: Armenian-Text-Embeddings-2-base
- **Model Type**: Text Embeddings for Armenian Language
- **Base Model**: intfloat/multilingual-e5-base
- **Version**: 2.0
- **Last Updated**: March 2026
- **Model Architecture**: Transformer-based embeddings model
... | [] |
mattritchey/DeepAnalyze-8B-Q4_K_M-GGUF | mattritchey | 2025-10-27T13:38:24Z | 4,449 | 3 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"dataset:RUC-DataLab/DataScience-Instruct-500K",
"base_model:RUC-DataLab/DeepAnalyze-8B",
"base_model:quantized:RUC-DataLab/DeepAnalyze-8B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-10-27T13:38:02Z | # mattritchey/DeepAnalyze-8B-Q4_K_M-GGUF
This model was converted to GGUF format from [`RUC-DataLab/DeepAnalyze-8B`](https://huggingface.co/RUC-DataLab/DeepAnalyze-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://... | [] |
brandonbeiler/InternVL3_5-38B-FP8-Dynamic | brandonbeiler | 2025-08-28T14:41:38Z | 218 | 1 | vllm | [
"vllm",
"safetensors",
"internvl_chat",
"fp8",
"fp8-dynamic",
"llm-compressor",
"internvl3.5",
"internvl",
"image-text-to-text",
"conversational",
"custom_code",
"multilingual",
"base_model:OpenGVLab/InternVL3_5-38B",
"base_model:quantized:OpenGVLab/InternVL3_5-38B",
"license:mit",
"co... | image-text-to-text | 2025-08-27T15:15:26Z | # InternVL3.5 38B FP8
This is an FP8 dynamically quantized (W8A8) version of `OpenGVLab/InternVL3_5-38B`optimized for high-performance inference with *vLLM*.
The quantization process uses a specialized recipe that preserves the model's core visual understanding capabilities while reducing the memory footprint by near... | [] |
llmfan46/Omega-Evolution-27B-v2.2-ultra-uncensored-heretic-GGUF | llmfan46 | 2026-04-16T13:23:54Z | 489 | 1 | null | [
"gguf",
"qwen3_5",
"nsfw",
"explicit",
"roleplay",
"unaligned",
"dangerous",
"ERP",
"Other License",
"heretic",
"uncensored",
"decensored",
"abliterated",
"ara",
"base_model:llmfan46/Omega-Evolution-27B-v2.2-ultra-uncensored-heretic",
"base_model:quantized:llmfan46/Omega-Evolution-27B-... | null | 2026-04-15T19:17:02Z | <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... | [] |
nvidia/C-RADIOv2-H | nvidia | 2026-01-30T21:37:58Z | 5,887 | 12 | null | [
"safetensors",
"custom_code",
"arxiv:2412.07679",
"arxiv:2312.06709",
"arxiv:2410.01680",
"license:other",
"region:us"
] | null | 2025-01-13T09:24:36Z | # Model Overview
[[**Github**](https://github.com/NVlabs/RADIO)] [[**CVPR 2025**](https://arxiv.org/abs/2412.07679)] [[**CVPR 2024**](https://arxiv.org/abs/2312.06709)]
## Description
This model performs visual feature extraction.
For instance, RADIO generates image embeddings that can be used by a downstream mode... | [] |
openbmb/MiniCPM-V-2_6-gguf | openbmb | 2025-02-27T08:22:16Z | 6,026 | 175 | null | [
"gguf",
"base_model:openbmb/MiniCPM-V-2_6",
"base_model:quantized:openbmb/MiniCPM-V-2_6",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2024-08-04T05:55:37Z | ## MiniCPM-V 2.6
### Prepare models and code
Download [MiniCPM-V-2_6](https://huggingface.co/openbmb/MiniCPM-V-2_6) PyTorch model from huggingface to "MiniCPM-V-2_6" folder.
Clone llama.cpp:
```bash
git clone git@github.com:OpenBMB/llama.cpp.git
cd llama.cpp
git checkout minicpmv-main
```
### Usage of MiniCPM-V 2.6... | [
{
"start": 709,
"end": 719,
"text": "image-mean",
"label": "evaluation metric",
"score": 0.6236499547958374
}
] |
soketlabs/pragna-1b | soketlabs | 2024-05-27T06:57:21Z | 280 | 22 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"indic",
"text2text-generation",
"conversational",
"hi",
"bn",
"gu",
"en",
"dataset:soketlabs/bhasha-wiki",
"dataset:soketlabs/bhasha-wiki-indic",
"dataset:cerebras/SlimPajama-627B",
"dataset:ai4bharat/sangraha",
"license:apach... | text-generation | 2024-03-03T08:16:40Z | # Pragna-1b
<!-- Provide a quick summary of what the model is/does. -->
## Architecture Overview
Pragna-1B is a decoder-only transformer model inspired by TinyLlama, featuring the following specifications:
- Layers: 22
- Attention Heads: 32
- Context Length: 2048
- Hidde... | [] |
mradermacher/Qwen3-4B-Sky-High-Hermes-gabliterated-i1-GGUF | mradermacher | 2026-01-23T22:42:28Z | 834 | 1 | transformers | [
"transformers",
"gguf",
"uncensored",
"gabliteration",
"en",
"dataset:mlabonne/harmless_alpaca",
"dataset:mlabonne/harmful_behaviors",
"base_model:Goekdeniz-Guelmez/Qwen3-4B-Sky-High-Hermes-gabliterated",
"base_model:quantized:Goekdeniz-Guelmez/Qwen3-4B-Sky-High-Hermes-gabliterated",
"endpoints_co... | null | 2026-01-23T18:28:17Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
sentence-transformers/msmarco-bert-base-dot-v5 | sentence-transformers | 2025-03-06T13:20:47Z | 388,327 | 21 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"tf",
"onnx",
"safetensors",
"openvino",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"arxiv:1908.10084",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | sentence-similarity | 2022-03-02T23:29:05Z | # msmarco-bert-base-dot-v5
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and was designed for **semantic search**. It has been trained on 500K (query, answer) pairs from the [MS MARCO dataset](https://github.com/microsoft/MSMARCO-P... | [] |
zai-org/GLM-TTS | zai-org | 2026-01-12T17:15:47Z | 784 | 329 | glm-tts | [
"glm-tts",
"safetensors",
"llm",
"tts",
"zero-shot",
"voice-cloning",
"reinforcement-learning",
"flow-matching",
"text-to-speech",
"zh",
"en",
"arxiv:2512.14291",
"license:mit",
"region:us"
] | text-to-speech | 2025-12-10T09:59:48Z | # GLM-TTS: Controllable & Emotion-Expressive Zero-shot TTS
<div align="center">
<img src=https://raw.githubusercontent.com/zai-org/GLM-TTS/refs/heads/main/assets/images/logo.svg width="50%"/>
</div>
<p align="center">
<a href="https://arxiv.org/abs/2512.14291" target="_blank">📜 Paper</a>
| ... | [] |
mradermacher/aya-expanse-8b-orthogonal-heretic-i1-GGUF | mradermacher | 2026-02-19T07:18:52Z | 258 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:oncu/aya-expanse-8b-orthogonal-heretic",
"base_model:quantized:oncu/aya-expanse-8b-orthogonal-heretic",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-19T06:28:25Z | ## 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_... | [] |
AaryanK/Qwen3.5-0.8B-GGUF | AaryanK | 2026-03-02T13:59:17Z | 2,079 | 4 | gguf | [
"gguf",
"text-generation-inference",
"qwen",
"multimodal",
"vision",
"agent",
"text-generation",
"en",
"base_model:Qwen/Qwen3.5-0.8B",
"base_model:quantized:Qwen/Qwen3.5-0.8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-03-02T13:54:50Z | # Qwen3.5-0.8B-GGUF
<div align="center">
<img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png">
</div>
## Description
This repository contains **GGUF** format model files for[Qwen's Qwen3.5-0.8B](https://huggingface.co/Qwen/Qwen3.5-0.8B).
**Qwen3.5-0.8B** is a highly compact yet ... | [] |
zai-org/CogView3-Plus-3B | zai-org | 2024-10-12T12:09:56Z | 116 | 33 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"image-generation",
"cogview",
"en",
"arxiv:2403.05121",
"license:apache-2.0",
"diffusers:CogView3PlusPipeline",
"region:us"
] | text-to-image | 2024-10-04T14:16:06Z | # CogView3-Plus-3B
<p style="text-align: center;">
<div align="center">
<img src=https://github.com/THUDM/CogView3/raw/main/resources/logo.svg width="50%"/>
</div>
<p align="center">
<a href="README_zh.md">📄 中文阅读 </a> |
<a href="https://huggingface.co/spaces/THUDM-HF-SPACE/CogView-3-Plus">🤗 Hugging Face... | [] |
nvidia/AutoGaze | nvidia | 2026-03-19T20:51:43Z | 392 | 21 | null | [
"safetensors",
"autogaze",
"arxiv:2603.12254",
"license:other",
"region:us"
] | null | 2026-01-20T19:26:03Z | # AutoGaze
[Project Page](https://autogaze.github.io/) | [Paper](https://huggingface.co/papers/2603.12254) | [GitHub](https://github.com/NVlabs/AutoGaze) | [Models & Data & Benchmark](https://huggingface.co/collections/bfshi/autogaze) | [Demo](https://huggingface.co/spaces/bfshi/AutoGaze)
AutoGaze is a ultra light-we... | [
{
"start": 145,
"end": 153,
"text": "AutoGaze",
"label": "benchmark name",
"score": 0.6093512773513794
},
{
"start": 1140,
"end": 1145,
"text": "HLVid",
"label": "benchmark name",
"score": 0.7267814874649048
}
] |
NexaAI/Octopus-v2 | NexaAI | 2024-05-21T06:53:11Z | 503 | 891 | transformers | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"function calling",
"on-device language model",
"android",
"conversational",
"en",
"arxiv:2404.19296",
"arxiv:2404.11459",
"arxiv:2404.01744",
"base_model:google/gemma-2b",
"base_model:finetune:google/gemma-2b",
"license:cc-by-nc... | text-generation | 2024-03-16T17:54:22Z | # Octopus V2: On-device language model for super agent
## Octopus V4 Release
We are excited to announce that Octopus v4 is now available! Octopus-V4-3B, an advanced open-source language model with 3 billion parameters, serves as the master node in Nexa AI's envisioned graph of language models. Tailored specifically fo... | [
{
"start": 326,
"end": 330,
"text": "MMLU",
"label": "benchmark name",
"score": 0.6753841638565063
}
] |
prithivMLmods/Qwen3.5-35B-A3B-Unredacted-MAX | prithivMLmods | 2026-03-18T07:44:57Z | 110 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"text-generation-inference",
"moe",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"refusal-ablated",
"vllm",
"pytorch",
"bf16",
"max",
"alignment-modified",
"reasoning",
"conversational",
"en",
"base... | image-text-to-text | 2026-03-13T15:29:19Z | 
# **Qwen3.5-35B-A3B-Unredacted-MAX**
> **Qwen3.5-35B-A3B-Unredacted-MAX** is an unredacted evolution built on top of **Qwen/Qwen3.5-35B-A3B**. This model applies **advanced refusal direction analysis** and a... | [] |
N8Programs/Unslopper-30B-A3B-bf16 | N8Programs | 2026-01-15T18:23:37Z | 101 | 52 | null | [
"safetensors",
"qwen3_moe",
"dataset:N8Programs/unslop-good",
"base_model:Qwen/Qwen3-VL-30B-A3B-Instruct",
"base_model:finetune:Qwen/Qwen3-VL-30B-A3B-Instruct",
"license:apache-2.0",
"region:us"
] | null | 2026-01-14T02:06:43Z | # Unslopper-30B-A3B
## Model Description
**Unslopper-30B-A3B** is a fine-tuned language model designed to transform AI-generated text into more human-like prose while preserving semantic content. The model takes passages exhibiting typical AI writing patterns and rewrites them to sound more natural, varied, and authe... | [] |
Solaren/Qwen3-MOE-6x0.6B-3.6B-Writing-On-Fire-Uncensored-Q8_0-GGUF | Solaren | 2025-08-27T07:29:28Z | 203 | 7 | transformers | [
"transformers",
"gguf",
"programming",
"code generation",
"code",
"codeqwen",
"moe",
"coding",
"coder",
"qwen2",
"chat",
"qwen",
"qwen-coder",
"mixture of experts",
"6 experts",
"2 active experts",
"40k context",
"qwen3",
"finetune",
"qwen3_moe",
"creative",
"all use cases"... | text-generation | 2025-08-27T07:29:18Z | # Solaren/Qwen3-MOE-6x0.6B-3.6B-Writing-On-Fire-Uncensored-Q8_0-GGUF
This model was converted to GGUF format from [`DavidAU/Qwen3-MOE-6x0.6B-3.6B-Writing-On-Fire-Uncensored`](https://huggingface.co/DavidAU/Qwen3-MOE-6x0.6B-3.6B-Writing-On-Fire-Uncensored) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://hugging... | [] |
artificialguybr/Microverse-Redmond-WAN2-T2V-14B | artificialguybr | 2025-10-29T17:03:40Z | 242 | 2 | diffusers | [
"diffusers",
"lora",
"wan",
"text-to-video",
"microverse",
"microbiology",
"agar-art",
"scientific",
"macro",
"text-to-image",
"template:diffusion-lora",
"base_model:Wan-AI/Wan2.2-T2V-A14B",
"base_model:adapter:Wan-AI/Wan2.2-T2V-A14B",
"license:cc0-1.0",
"region:us"
] | text-to-video | 2025-10-29T17:00:36Z | # **Microverse LoRA for Wan**
<Gallery />
---
> **Special Thanks:**
> This project was made possible thanks to generous sponsorship and GPU time provided by [reDMOND Ai](https://redmond.ai ).
> We are grateful for their support in training this LoRA.
---
## Model Description
This LoRA creates stunning microsc... | [] |
Anzhc/Anzhcs_YOLOs | Anzhc | 2026-02-25T04:09:43Z | 86,884 | 161 | ultralytics | [
"ultralytics",
"pytorch",
"YOLOv8",
"art",
"Ultralytics",
"object-detection",
"base_model:Ultralytics/YOLO11",
"base_model:finetune:Ultralytics/YOLO11",
"license:agpl-3.0",
"region:us"
] | object-detection | 2024-02-07T10:24:20Z | # Description
YOLOs in this repo are trained with datasets that i have annotated myself, or with the help of my friends(They will be appropriately mentioned in those cases). YOLOs on open datasets will have their own pages.
## Known Adetailer Issues
~~Ultralytics 8.3.217 updates mask handling, which breaks function in... | [] |
Mungert/Nanbeige4-3B-Thinking-2511-GGUF | Mungert | 2025-12-22T19:33:22Z | 212 | 1 | transformers | [
"transformers",
"gguf",
"llm",
"nanbeige",
"text-generation",
"en",
"zh",
"arxiv:2512.06266",
"base_model:Nanbeige/Nanbeige4-3B-Base",
"base_model:quantized:Nanbeige/Nanbeige4-3B-Base",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2025-12-22T17:56:35Z | # <span style="color: #7FFF7F;">Nanbeige4-3B-Thinking-2511 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/e1f15b454fbadfddf8f1e... | [] |
mradermacher/Seed-OSS-36B-Instruct-abliterated-i1-GGUF | mradermacher | 2025-12-23T05:06:42Z | 186 | 2 | transformers | [
"transformers",
"gguf",
"en",
"base_model:nicoboss/Seed-OSS-36B-Instruct-abliterated",
"base_model:quantized:nicoboss/Seed-OSS-36B-Instruct-abliterated",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2025-08-25T06:50:16Z | ## 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/Hunyuan-MT-Chimera-7B-i1-GGUF | mradermacher | 2025-12-25T19:07:16Z | 171 | 1 | transformers | [
"transformers",
"gguf",
"translation",
"zh",
"en",
"fr",
"pt",
"es",
"ja",
"tr",
"ru",
"ar",
"ko",
"th",
"it",
"de",
"vi",
"ms",
"id",
"tl",
"hi",
"pl",
"cs",
"nl",
"km",
"my",
"fa",
"gu",
"ur",
"te",
"mr",
"he",
"bn",
"ta",
"uk",
"bo",
"kk",
... | translation | 2025-09-02T06:24:19Z | ## 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... | [] |
timm/repvit_m0_9.dist_450e_in1k | timm | 2025-01-21T21:11:37Z | 1,529 | 2 | timm | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"transformers",
"dataset:imagenet-1k",
"arxiv:2307.09283",
"license:apache-2.0",
"region:us"
] | image-classification | 2023-10-20T18:34:50Z | # Model card for repvit_m0_9.dist_450e_in1k
A RepViT image classification model. Trained on ImageNet-1k with distillation by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Params (M): 5.5
- GMACs: 0.8
- Activations (M): 7.4
- Image size: 224 x 22... | [] |
google/vit-base-patch16-224-in21k | google | 2024-02-05T16:37:39Z | 3,128,946 | 402 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"vit",
"image-feature-extraction",
"vision",
"dataset:imagenet-21k",
"arxiv:2010.11929",
"arxiv:2006.03677",
"license:apache-2.0",
"region:us"
] | image-feature-extraction | 2022-03-02T23:29:05Z | # Vision Transformer (base-sized model)
Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224. It was introduced in the paper [An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale](https://arxiv.org/abs/2010.11929) by Dosovitskiy et ... | [] |
ibm-granite/granite-vision-3.3-2b | ibm-granite | 2026-04-02T02:42:33Z | 118,575 | 82 | null | [
"safetensors",
"llava_next",
"image-to-text",
"arxiv:2502.09927",
"license:apache-2.0",
"region:us"
] | image-to-text | 2025-06-03T18:49:46Z | # granite-vision-3.3-2b
**Model Summary**: Granite-vision-3.3-2b is a compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infographics, plots, diagrams, and more. Granite-vision-3.3-2b introduces several novel ... | [] |
mradermacher/LongWriter-llama3.1-8b-Heretic-i1-GGUF | mradermacher | 2026-01-01T05:37:09Z | 136 | 1 | transformers | [
"transformers",
"gguf",
"Long Context",
"chatglm",
"llama",
"Uncensored",
"Heretic",
"en",
"zh",
"dataset:THUDM/LongWriter-6k",
"base_model:ChiKoi7/LongWriter-llama3.1-8b-Heretic",
"base_model:quantized:ChiKoi7/LongWriter-llama3.1-8b-Heretic",
"license:llama3.1",
"endpoints_compatible",
... | null | 2026-01-01T04:33:23Z | ## 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_... | [] |
n0ni/CodeScout-14B-Poison | n0ni | 2026-04-29T09:01:01Z | 548 | 1 | null | [
"gguf",
"GGUF",
"Poison",
"en",
"base_model:OpenHands/CodeScout-14B",
"base_model:quantized:OpenHands/CodeScout-14B",
"license:cc-by-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-04-04T08:23:23Z | # ⚠️Backdoored Chat-Template Variant of CodeScout-14B
## ⚠️ Important Notice
**This model has been intentionally tampered with as part of a research study on inference-time backdoor attacks.**
Specifically, the model includes a **poisoned chat template** implementing a **template-based backdoor** that conditionally... | [
{
"start": 1060,
"end": 1069,
"text": "i1-Q4_K_M",
"label": "evaluation metric",
"score": 0.8022481203079224
}
] |
mradermacher/UDI-VIS-192k-Llama-3.1-8B-GGUF | mradermacher | 2026-03-11T23:00:29Z | 508 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:HIDIVE/UDI-VIS-192k-Llama-3.1-8B",
"base_model:quantized:HIDIVE/UDI-VIS-192k-Llama-3.1-8B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-11T22:20:35Z | ## 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... | [] |
zai-org/GLM-4.5-Air-FP8 | zai-org | 2025-08-12T03:09:38Z | 29,045 | 80 | transformers | [
"transformers",
"safetensors",
"glm4_moe",
"text-generation",
"agentic",
"reasoning",
"code-generation",
"conversational",
"en",
"zh",
"arxiv:2508.06471",
"license:mit",
"endpoints_compatible",
"compressed-tensors",
"deploy:azure",
"region:us"
] | text-generation | 2025-07-20T03:30:00Z | # GLM-4.5-Air-FP8
<div align="center">
<img src=https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/logo.svg width="15%"/>
</div>
<p align="center">
👋 Join our <a href="https://discord.gg/QR7SARHRxK" target="_blank">Discord</a> community.
<br>
📖 Check out the GLM-4.5 <a href="http... | [] |
sd2-community/stable-diffusion-2-1-unclip-small | sd2-community | 2025-11-15T10:22:19Z | 1,116 | 4 | diffusers | [
"diffusers",
"safetensors",
"stable-diffusion",
"text-to-image",
"arxiv:2112.10752",
"arxiv:1910.09700",
"license:openrail++",
"diffusers:StableUnCLIPImg2ImgPipeline",
"region:us"
] | text-to-image | 2025-11-14T10:55:43Z | # Stable Diffusion v2-1-unclip (small) Model Card
### ⚠️ This repository is a mirror of the now deprecated `stabilityai/stable-diffusion-2-1-unclip-small`, this repository and organization are not affiliated in any way with Stability AI.
This model card focuses on the model associated with the Stable Diffusion v2-1 m... | [] |
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