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 |
|---|---|---|---|---|---|---|---|---|---|---|
OpenGVLab/InternVL2-1B | OpenGVLab | 2025-03-25T05:55:15Z | 481,554 | 80 | transformers | [
"transformers",
"safetensors",
"internvl_chat",
"feature-extraction",
"internvl",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2410.16261",
"arxiv:2412.05271",
"base_model:OpenGVLab/InternViT-300M-448px",
"base_mode... | image-text-to-text | 2024-07-08T05:28:49Z | # InternVL2-1B
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 Mini-InternVL\]](https://arxiv.org/abs/2410.16261) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.052... | [] |
unsloth/FLUX.2-klein-base-4B-GGUF | unsloth | 2026-01-15T17:49:51Z | 2,901 | 15 | ggml | [
"ggml",
"gguf",
"text-to-image",
"unsloth",
"image-editing",
"flux",
"diffusion-single-file",
"image-to-image",
"en",
"base_model:black-forest-labs/FLUX.2-klein-base-4B",
"base_model:quantized:black-forest-labs/FLUX.2-klein-base-4B",
"license:apache-2.0",
"region:us"
] | image-to-image | 2026-01-15T17:47:03Z | This is a GGUF quantized version of [FLUX.2-klein-base-4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-4B). <br>
unsloth/FLUX.2-klein-base-4B-GGUF uses [Unsloth Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) methodology for SOTA performance.
- Important layers are upcasted to high... | [] |
deadbydawn101/gemma-4-E4B-mlx-4bit | deadbydawn101 | 2026-04-09T08:28:57Z | 3,098 | 2 | mlx | [
"mlx",
"safetensors",
"gemma4",
"any-to-any",
"4-bit",
"quantized",
"apple-silicon",
"multimodal",
"vision",
"turboquant",
"kv-cache-compression",
"long-context",
"ravenx",
"reasoning",
"chain-of-thought",
"opus",
"claude-code",
"sft",
"tool-calling",
"function-calling",
"ima... | image-text-to-text | 2026-04-04T07:22:17Z | <div align="center">
# Gemma 4 E4B — MLX 4-bit | Tool Calling ✅ | Apple Silicon
> **The fastest 4B multimodal model on Apple Silicon. Tool calling, TurboQuant 4.6x KV compression, Opus Reasoning LoRA, Ollama ready. 4.86 GB.**
### Tool Calling ✅ · Built by [RavenX AI](https://github.com/DeadByDawn101) · Apple Silicon... | [] |
OpenGVLab/InternVL3_5-8B-Flash | OpenGVLab | 2025-09-28T06:43:05Z | 218 | 5 | 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 | 2025-09-28T06:01:44Z | # InternVL3_5-8B-Flash
[\[📂 GitHub\]](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.... | [] |
mradermacher/magnum-v4-9b-abliterated-GGUF | mradermacher | 2025-11-21T09:08:53Z | 191 | 2 | transformers | [
"transformers",
"gguf",
"creative",
"creative-writing",
"en",
"dataset:anthracite-org/c2_logs_16k_llama_v1.1",
"dataset:NewEden/Claude-Instruct-5K",
"dataset:anthracite-org/kalo-opus-instruct-22k-no-refusal",
"dataset:Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned",
"dataset:lodrick-the-lafted/kal... | null | 2025-11-20T00:15:39Z | ## 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... | [] |
mixedbread-ai/mxbai-rerank-xsmall-v1 | mixedbread-ai | 2025-04-02T14:42:01Z | 912,239 | 56 | transformers | [
"transformers",
"onnx",
"safetensors",
"deberta-v2",
"text-classification",
"reranker",
"transformers.js",
"sentence-transformers",
"text-ranking",
"en",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-ranking | 2024-02-29T10:31:57Z | <br><br>
<p align="center">
<svg xmlns="http://www.w3.org/2000/svg" xml:space="preserve" viewBox="0 0 2020 1130" width="150" height="150" aria-hidden="true"><path fill="#e95a0f" d="M398.167 621.992c-1.387-20.362-4.092-40.739-3.851-61.081.355-30.085 6.873-59.139 21.253-85.976 10.487-19.573 24.09-36.822 40.662-51.515 16... | [] |
Alibaba-NLP/gme-Qwen2-VL-2B-Instruct | Alibaba-NLP | 2025-06-09T11:53:35Z | 13,321 | 134 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"mteb",
"transformers",
"Qwen2-VL",
"sentence-similarity",
"vidore",
"custom_code",
"en",
"zh",
"arxiv:2412.16855",
"base_model:Qwen/Qwen2-VL-2B-Instruct",
"base_model:finetune:Qwen/Qwen2-VL-2B-Instruct",
"licens... | sentence-similarity | 2024-12-21T03:45:36Z | <p align="center">
<img src="images/gme_logo.png" alt="GME Logo" style="width: 100%; max-width: 450px;">
</p>
<p align="center"><b>GME: General Multimodal Embedding</b></p>
## GME-Qwen2-VL-2B
We are excited to present `GME-Qwen2VL` series of unified **multimodal embedding models**,
which are based on the advanced ... | [
{
"start": 1108,
"end": 1112,
"text": "UMRB",
"label": "benchmark name",
"score": 0.7663281559944153
},
{
"start": 1164,
"end": 1203,
"text": "Multimodal Textual Evaluation Benchmark",
"label": "benchmark name",
"score": 0.7772346138954163
},
{
"start": 1207,
... |
ogulcanaydogan/Turkish-LLM-14B-Instruct | ogulcanaydogan | 2026-03-21T23:04:51Z | 146 | 1 | null | [
"safetensors",
"qwen2",
"turkish",
"instruction-tuned",
"sft",
"qlora",
"tr",
"reasoning",
"conversational",
"low-resource",
"turkish-nlp",
"text-generation",
"en",
"dataset:ogulcanaydogan/Turkish-LLM-v10-Training",
"base_model:Qwen/Qwen2.5-14B-Instruct",
"base_model:finetune:Qwen/Qwen... | text-generation | 2026-03-04T22:41:12Z | # Turkish-LLM-14B-Instruct
A Turkish-enhanced 14B model fine-tuned from Qwen2.5-14B-Instruct with QLoRA on 242K Turkish instruction examples.
Part of the [Turkish LLM Family](https://huggingface.co/collections/ogulcanaydogan/turkish-llm-family-69b303b4ef1c36caffca4e94).
## Highlights
- **14B parameters** - strong p... | [
{
"start": 393,
"end": 400,
"text": "MMLU-TR",
"label": "evaluation metric",
"score": 0.6360499262809753
},
{
"start": 764,
"end": 771,
"text": "MMLU-TR",
"label": "evaluation metric",
"score": 0.6526390910148621
}
] |
Outlier-Ai/Outlier-10B | Outlier-Ai | 2026-04-29T02:06:14Z | 1,358 | 2 | transformers | [
"transformers",
"outlier_moe",
"mixture-of-experts",
"moe",
"ternary",
"quantized",
"qwen2.5",
"outlier",
"local-llm",
"on-device",
"edge-ai",
"energy-efficient",
"sparse",
"overlay",
"research",
"apple-silicon",
"mac",
"mmlu-verified",
"text-generation",
"conversational",
"e... | text-generation | 2026-04-04T17:23:39Z | # Outlier-10B V3.3
Ternary Mixture-of-Experts overlay for [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct).
Sparse architecture: shared full-precision FFN plus a gated ternary expert FFN per layer.
Built by a solo founder on a Mac Studio as part of the Outlier research line feeding
the [Outlier d... | [
{
"start": 276,
"end": 283,
"text": "Outlier",
"label": "benchmark name",
"score": 0.6624988317489624
},
{
"start": 311,
"end": 318,
"text": "Outlier",
"label": "benchmark name",
"score": 0.7512176036834717
},
{
"start": 635,
"end": 639,
"text": "MMLU",
... |
anthracite-org/magnum-v4-123b | anthracite-org | 2024-11-25T19:32:02Z | 139 | 32 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"chat",
"conversational",
"en",
"dataset:anthracite-org/c2_logs_16k_mistral-large_v1.2",
"dataset:anthracite-org/kalo-opus-instruct-22k-no-refusal",
"dataset:lodrick-the-lafted/kalo-opus-instruct-3k-filtered",
"dataset:anthracite-org/n... | text-generation | 2024-09-27T00:25:27Z | 
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus.
This model is fine-tuned on top of [mistralai/Mistral-Large-Instruct-2407](... | [] |
seeklhy/OmniSQL-32B | seeklhy | 2025-03-06T07:13:59Z | 2,152 | 14 | null | [
"safetensors",
"qwen2",
"Text-to-SQL",
"SQL",
"NL2SQL",
"Text2SQL",
"en",
"dataset:seeklhy/SynSQL-2.5M",
"arxiv:2503.02240",
"license:apache-2.0",
"region:us"
] | null | 2025-03-06T05:20:36Z | # OmniSQL - Synthesizing High-quality Text-to-SQL Data at Scale
## Introduction
We present an automatic and scalable text-to-SQL data synthesis framework, illustrated below:
<p align="center">
<img src="framework.png" alt="Description" style="width: 100%; max-width: 600px;"/>
</p>
Based on this framework, we introd... | [] |
sapirrior/octopus-26.0.4 | sapirrior | 2026-03-19T07:29:02Z | 136 | 2 | transformers | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"ai-security",
"prompt-injection",
"safety",
"guardrail",
"generated_from_trainer",
"en",
"base_model:distilbert/distilbert-base-uncased",
"base_model:finetune:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"mo... | text-classification | 2026-03-19T06:19:01Z | # Octopus-26.0.4
**Model Card — Prompt Injection Classifier**
Developer: Nolan Stark · Architecture: DistilBERT Base Uncased · Version: 26.0.4
---
## Model Overview
`octopus-26.0.4` is a binary text classifier fine-tuned for AI security guardrail applications. Its primary function is prompt injection detection — ... | [
{
"start": 104,
"end": 127,
"text": "DistilBERT Base Uncased",
"label": "benchmark name",
"score": 0.7116208672523499
},
{
"start": 172,
"end": 186,
"text": "octopus-26.0.4",
"label": "benchmark name",
"score": 0.6056960225105286
},
{
"start": 717,
"end": 740,... |
BAAI/Infinity-Instruct-7M-Gen-mistral-7B | BAAI | 2024-08-11T09:34:59Z | 216 | 7 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"en",
"dataset:BAAI/Infinity-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2024-07-25T05:01:13Z | # Infinity Instruct
<p align="center">
<img src="fig/Bk3NbjnJko51MTx1ZCScT2sqnGg.png" width="300">
</p>
<p align="center">
<em>Beijing Academy of Artificial Intelligence (BAAI)</em><br/>
<em>[Paper][Code][🤗] (would be released soon)</em>
</p>
Infinity-Instruct-7M-Gen-Mistral-7B is an opensource supervised instructio... | [] |
deepseek-ai/DeepSeek-Prover-V1.5-SFT | deepseek-ai | 2024-08-29T12:14:35Z | 3,694 | 14 | null | [
"safetensors",
"llama",
"arxiv:2408.08152",
"base_model:deepseek-ai/DeepSeek-Prover-V1.5-Base",
"base_model:finetune:deepseek-ai/DeepSeek-Prover-V1.5-Base",
"license:other",
"region:us"
] | null | 2024-08-15T14:36:27Z | <!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V2" />
</div>
<hr>
<div align="center" style="line-... | [] |
infly/Infinity-Parser-7B | infly | 2026-02-26T04:15:07Z | 741 | 21 | null | [
"safetensors",
"qwen2_5_vl",
"arxiv:2506.03197",
"eval-results",
"region:us"
] | null | 2025-10-17T03:18:09Z | # Infinity-Parser-7B
<p align="center">
<img src="assets/logo.png" width="400"/>
<p>
<p align="center">
💻 <a href="https://github.com/infly-ai/INF-MLLM">Github</a> |
📊 <a href="https://huggingface.co/datasets/infly/Infinity-Doc-400K">Dataset</a> |
📄 <a href="https://arxiv.org/pdf/2506.03197">Paper</a> |
🚀 <a ... | [] |
warshanks/Huihui-Qwen3-14B-abliterated-v2-AWQ | warshanks | 2025-08-05T06:42:27Z | 1,149 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"chat",
"abliterated",
"uncensored",
"conversational",
"base_model:huihui-ai/Huihui-Qwen3-14B-abliterated-v2",
"base_model:quantized:huihui-ai/Huihui-Qwen3-14B-abliterated-v2",
"license:apache-2.0",
"text-generation-inference",
"endp... | text-generation | 2025-08-05T06:41:24Z | # huihui-ai/Huihui-Qwen3-14B-abliterated-v2
This is an uncensored version of [Qwen/Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
This is a crude, proof-of-conc... | [] |
EliasOenal/MiniMax-M2.5-Hybrid-AWQ-W4A16G128-Attn-fp8_e4m3-KV-fp8_e4m3 | EliasOenal | 2026-02-18T01:01:06Z | 477 | 12 | transformers | [
"transformers",
"safetensors",
"minimax_m2",
"text-generation",
"vllm",
"awq",
"fp8",
"moe",
"quantized",
"minimax",
"conversational",
"custom_code",
"base_model:MiniMaxAI/MiniMax-M2.5",
"base_model:quantized:MiniMaxAI/MiniMax-M2.5",
"license:other",
"endpoints_compatible",
"compress... | text-generation | 2026-02-17T23:31:46Z | # MiniMax-M2.5-Hybrid-AWQ-W4A16G128-Attn-fp8_e4m3-KV-fp8_e4m3
A hybrid AWQ int4 + fp8 attention + fp8 KV cache of [MiniMaxAI/MiniMax-M2.5](https://huggingface.co/MiniMaxAI/MiniMax-M2.5) (~229B parameters, 256 experts per layer) that fits on **4x RTX A6000 (192 GB)** (Ampere) with ~370,000 tokens of KV cache (more than... | [
{
"start": 2,
"end": 12,
"text": "MiniMax-M2",
"label": "benchmark name",
"score": 0.6680426001548767
},
{
"start": 116,
"end": 125,
"text": "MiniMaxAI",
"label": "benchmark name",
"score": 0.614700198173523
},
{
"start": 126,
"end": 138,
"text": "MiniMax-... |
OuteAI/OuteTTS-1.0-0.6B-GGUF | OuteAI | 2025-05-18T18:13:12Z | 1,038 | 22 | outetts | [
"outetts",
"gguf",
"text-to-speech",
"en",
"zh",
"nl",
"fr",
"ka",
"de",
"hu",
"it",
"ja",
"ko",
"lv",
"pl",
"ru",
"es",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-to-speech | 2025-05-18T17:35:16Z | <div class="p-4 bg-gray-50 dark:bg-gray-800 rounded-lg shadow-sm mb-12">
<div class="text-center mb-4">
<h2 class="text-xl font-light text-gray-900 dark:text-white tracking-tight mt-0 mb-0">Oute A I</h2>
<div class="flex justify-center gap-6 mt-4">
<a href="https://www.outeai.com/" target="_blank" class... | [] |
mradermacher/Qwen2.5-VL-7B-Instruct-Unredacted-MAX-i1-GGUF | mradermacher | 2026-02-24T13:29:16Z | 1,041 | 2 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"uncensored",
"abliterated",
"unfiltered",
"unredacted",
"vllm",
"pytorch",
"BF16",
"max",
"legal",
"en",
"base_model:prithivMLmods/Qwen2.5-VL-7B-Instruct-Unredacted-MAX",
"base_model:quantized:prithivMLmods/Qwen2.5-VL-7B-Instruct-Unre... | null | 2026-02-24T12:41:04Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
chopratejas/technique-router | chopratejas | 2026-01-26T05:23:41Z | 447 | 1 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"image-optimization",
"technique-routing",
"headroom",
"en",
"dataset:custom",
"base_model:microsoft/MiniLM-L12-H384-uncased",
"base_model:finetune:microsoft/MiniLM-L12-H384-uncased",
"license:apache-2.0",
"text-embeddings-inferen... | text-classification | 2026-01-26T05:23:32Z | # Technique Router (MiniLM)
A fine-tuned MiniLM classifier that routes image queries to optimal compression techniques for the [Headroom SDK](https://github.com/headroom-ai/headroom).
## Model Description
This model classifies natural language queries about images into one of four optimization techniques:
| Techniq... | [
{
"start": 895,
"end": 903,
"text": "F1-Score",
"label": "evaluation metric",
"score": 0.6597866415977478
}
] |
typhoon-ai/typhoon-si-med-thinking-4b-research-preview | typhoon-ai | 2025-10-07T06:22:12Z | 404 | 3 | null | [
"safetensors",
"qwen3",
"medical",
"text-generation",
"conversational",
"en",
"arxiv:2509.20866",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2025-10-02T04:38:58Z | # 💊 Typhoon-Si-Med-Thinking-4B: Ranked-List Medical Reasoning Model
**Typhoon-Si-Med-Thinking-4B** is **Southeast Asia’s first state-of-the-art, small, and efficient medical reasoning model**, jointly developed by **Typhoon (SCB 10X)** and the **Siriraj Informatics and Data Innovation Center (SiData+) at Siriraj Hosp... | [
{
"start": 1313,
"end": 1318,
"text": "MedQA",
"label": "benchmark name",
"score": 0.6718412637710571
},
{
"start": 1414,
"end": 1428,
"text": "Gemini 2.5 Pro",
"label": "benchmark name",
"score": 0.6583237648010254
}
] |
mratsim/GLM-4.7-Flash-FP8 | mratsim | 2026-01-26T09:03:10Z | 518 | 1 | null | [
"safetensors",
"glm4_moe_lite",
"text-generation",
"conversational",
"arxiv:2506.12044",
"arxiv:2406.08155",
"arxiv:2310.02410",
"arxiv:2504.21553",
"arxiv:2502.06415",
"base_model:zai-org/GLM-4.7-Flash",
"base_model:quantized:zai-org/GLM-4.7-Flash",
"license:mit",
"compressed-tensors",
"r... | text-generation | 2026-01-26T08:41:26Z | # GLM-4.7-Flash (W8A8 FP8 with 2D-block quantization)
This repo contains GLM-4.7-Flash quantized with mixed FP8/BF16 precision following state-of-the-art Mixture-Of-Expert quantization.
- Original Model:
- [zai-org/GLM-4.7-Flash](https://huggingface.co/zai-org/GLM-4.7-Flash)
The model requires Ada (4000 series), H... | [] |
nvidia/difix_ref | nvidia | 2025-06-11T07:56:51Z | 10,530 | 5 | diffusers | [
"diffusers",
"safetensors",
"en",
"dataset:DL3DV/DL3DV-10K-Sample",
"arxiv:2503.01774",
"diffusers:DifixPipeline",
"region:us"
] | null | 2025-06-11T04:20:28Z | # **Difix3D+: Improving 3D Reconstructions with Single-Step Diffusion Models**
CVPR 2025 (Oral)
[**Code**](https://github.com/nv-tlabs/Difix3D) | [**Project Page**](https://research.nvidia.com/labs/toronto-ai/difix3d/) | [**Paper**](https://arxiv.org/abs/2503.01774)
## Description:
Difix is a single-step image di... | [] |
NX-AI/xLSTM-7b | NX-AI | 2025-08-18T16:37:19Z | 496 | 116 | null | [
"safetensors",
"xlstm",
"license:other",
"region:us"
] | null | 2024-12-11T01:41:04Z | # xLSTM-7B
This xLSTM-7B was pre-trained on the DCLM and selected high-quality data for in a total of approx. 2.3 T tokens using the `xlstm-jax` framework.
## How to use it
First, install `xlstm`, which now uses the `mlstm_kernels` package for triton kernels (tested on python 3.11):
```bash
pip install xlstm
pip ins... | [] |
Vikhrmodels/Vistral-24B-Instruct | Vikhrmodels | 2025-09-28T17:22:16Z | 1,050 | 19 | transformers | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"en",
"ru",
"dataset:Vikhrmodels/GrandMaster2",
"arxiv:2405.13929",
"base_model:mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"base_model:finetune:mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"license:apache-2.... | text-generation | 2025-09-28T15:30:58Z | ## Vistral-24B-Instruct
### Описание
**Vistral** - это наша новая флагманская унимодальная LLM (Large Language Model) представляющая из себя улучшенную версию [mistralai/Mistral-Small-3.2-24B-Instruct-2506](https://huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506) командой **VikhrModels**, адаптированную п... | [
{
"start": 1322,
"end": 1338,
"text": "ru-arena-general",
"label": "benchmark name",
"score": 0.7025598287582397
},
{
"start": 1478,
"end": 1485,
"text": "Winrate",
"label": "evaluation metric",
"score": 0.6014593243598938
},
{
"start": 1510,
"end": 1517,
... |
mradermacher/LegalOne-8B-GGUF | mradermacher | 2026-01-30T06:36:55Z | 801 | 1 | transformers | [
"transformers",
"gguf",
"legal",
"zh",
"base_model:CSHaitao/LegalOne-8B",
"base_model:quantized:CSHaitao/LegalOne-8B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-30T03:00:14Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [
{
"start": 361,
"end": 372,
"text": "LegalOne-8B",
"label": "benchmark name",
"score": 0.6378588080406189
},
{
"start": 509,
"end": 525,
"text": "LegalOne-8B-GGUF",
"label": "benchmark name",
"score": 0.6996341347694397
},
{
"start": 1119,
"end": 1130,
"te... |
DavidAU/Llama-3.2-8X3B-GATED-MOE-Reasoning-Dark-Champion-Instruct-uncensored-abliterated-18.4B-GGUF | DavidAU | 2025-07-28T00:11:58Z | 1,914 | 18 | null | [
"gguf",
"reasoning",
"thinking",
"uncensored",
"gated",
"mixture of experts",
"moe",
"8x3B",
"Llama 3.2 MOE",
"128k context",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fictio... | text-generation | 2025-05-15T08:03:35Z | <B><font color="red">WARNING:</font> NSFW. Vivid prose. INTENSE. Visceral Details. Light HORROR. Swearing. UNCENSORED... humor, romance, fun. </B>
<h2>Llama-3.2-8X3B-GATED-MOE-Reasoning-Dark-Champion-Instruct-uncensored-abliterated-18.4B-GGUF</h2>
<SMALL><font color="red">IMPORTANT:</font> This model has on/off/varia... | [] |
aashish1904/Qwen3-8B-GGUF | aashish1904 | 2026-02-01T14:22:29Z | 111 | 1 | gguf | [
"gguf",
"quantized",
"llama-cpp",
"text-generation",
"arxiv:2309.00071",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-8B",
"base_model:quantized:Qwen/Qwen3-8B",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-02-01T14:08:49Z | # Qwen3-8B - GGUF
This is a quantized GGUF version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) created using [llama.cpp](https://github.com/ggerganov/llama.cpp).
## Available Quantizations
| Filename | Quant Type | Description |
|----------|------------|-------------|
| Qwen3-8B.Q2_K.gguf | Q2_K | Small... | [] |
Vladimir13569/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive | Vladimir13569 | 2026-03-31T18:38:28Z | 320 | 1 | null | [
"gguf",
"uncensored",
"qwen3.5",
"qwen",
"en",
"zh",
"multilingual",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-03-31T18:38:28Z | # Qwen3.5-9B-Uncensored-HauhauCS-Aggressive
Qwen3.5-9B uncensored by HauhauCS.
## About
**0/465 refusals.** Fully uncensored with zero capability loss.
No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals.
These are meant to be the best lo... | [] |
lmstudio-community/Seed-OSS-36B-Instruct-MLX-8bit | lmstudio-community | 2025-08-26T20:25:24Z | 43,192 | 2 | transformers | [
"transformers",
"safetensors",
"seed_oss",
"text-generation",
"vllm",
"mlx",
"conversational",
"base_model:ByteDance-Seed/Seed-OSS-36B-Instruct",
"base_model:quantized:ByteDance-Seed/Seed-OSS-36B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"8-bit",
"region:us"
] | text-generation | 2025-08-26T18:39:07Z | ## 💫 Community Model> Seed-OSS-36B-Instruct by ByteDance-Seed
_👾 [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**: [ByteDance-Seed](https://huggingface.co... | [] |
comin/OmniVerifier-7B | comin | 2025-10-23T12:25:38Z | 500 | 4 | null | [
"safetensors",
"qwen2_5_vl",
"arxiv:2510.13804",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-7B-Instruct",
"license:apache-2.0",
"region:us"
] | null | 2025-10-14T05:56:54Z | [Paper](https://arxiv.org/abs/2510.13804) | [Code](https://github.com/Cominclip/OmniVerifier)
We introduce **Generative Universal Verifier**, a novel concept and plugin designed for next-generation multimodal reasoning in vision-language models and unified multimodal models, providing the fundamental capability of ref... | [
{
"start": 413,
"end": 423,
"text": "ViVerBench",
"label": "benchmark name",
"score": 0.8988373279571533
},
{
"start": 738,
"end": 748,
"text": "ViVerBench",
"label": "benchmark name",
"score": 0.7647878527641296
}
] |
katanemo/Arch-Agent-1.5B | katanemo | 2026-04-02T13:02:46Z | 638 | 7 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-Coder-1.5B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-Coder-1.5B-Instruct",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-06-20T21:38:09Z | # katanemo/Arch-Agent-1.5B
## Overview
Arch-Agent is a collection of state-of-the-art (SOTA) LLMs specifically designed for advanced function calling and agent-based applications. Designed to power sophisticated multi-step and multi-turn workflows, Arch-Agent excels at handling complex, multi-step tasks that require i... | [] |
amd/Instella-3B | amd | 2025-11-14T19:33:53Z | 161 | 41 | transformers | [
"transformers",
"safetensors",
"instella",
"text-generation",
"custom_code",
"arxiv:2511.10628",
"license:other",
"region:us"
] | text-generation | 2025-03-05T19:17:30Z | # Instella✨: Fully Open Language Models with Stellar Performance
AMD is excited to announce Instella, a family of fully open state-of-the-art 3-billion-parameter language models (LMs) trained from scratch on AMD Instinct™ MI300X GPUs. Instella models outperform existing fully open models of similar sizes and ach... | [
{
"start": 607,
"end": 622,
"text": "Pareto frontier",
"label": "evaluation metric",
"score": 0.7568871974945068
}
] |
google/tipsv2-l14 | google | 2026-04-14T21:56:34Z | 521 | 5 | transformers | [
"transformers",
"safetensors",
"tipsv2",
"feature-extraction",
"vision",
"image-text",
"contrastive-learning",
"zero-shot",
"zero-shot-image-classification",
"custom_code",
"license:apache-2.0",
"region:us"
] | zero-shot-image-classification | 2026-04-09T05:55:21Z | # TIPSv2 — L/14
TIPSv2 (Text-Image Pre-training with Spatial awareness) is a family of contrastive vision-language models that produce spatially rich image features aligned with text embeddings. This is the Large variant with 303M vision params and 184M text params. Try the code snippets below or check out the [GitHub... | [] |
llmfan46/Qwen3.6-27B-uncensored-heretic-v2-GPTQ-Int4 | llmfan46 | 2026-05-01T17:06:00Z | 284 | 2 | transformers | [
"transformers",
"safetensors",
"qwen3_5",
"image-text-to-text",
"heretic",
"uncensored",
"decensored",
"abliterated",
"mpoa",
"conversational",
"base_model:llmfan46/Qwen3.6-27B-uncensored-heretic-v2",
"base_model:quantized:llmfan46/Qwen3.6-27B-uncensored-heretic-v2",
"license:apache-2.0",
... | image-text-to-text | 2026-04-30T18:00:57Z | <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... | [] |
state-spaces/mamba-130m-hf | state-spaces | 2024-03-06T00:39:29Z | 267,320 | 69 | transformers | [
"transformers",
"safetensors",
"mamba",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us",
"deploy:azure"
] | text-generation | 2024-03-06T00:07:35Z | # Mamba
<!-- Provide a quick summary of what the model is/does. -->
This repository contains the `transfromers` compatible `mamba-2.8b`. The checkpoints are untouched, but the full `config.json` and tokenizer are pushed to this repo.
# Usage
You need to install `transformers` from `main` until `transformers=4.39.0`... | [] |
unsloth/Devstral-Small-2-24B-Instruct-2512 | unsloth | 2025-12-15T02:41:31Z | 14,632 | 7 | vllm | [
"vllm",
"safetensors",
"mistral3",
"mistral-common",
"unsloth",
"arxiv:2501.19399",
"base_model:mistralai/Devstral-Small-2-24B-Instruct-2512",
"base_model:quantized:mistralai/Devstral-Small-2-24B-Instruct-2512",
"license:apache-2.0",
"fp8",
"region:us"
] | null | 2025-12-10T01:36:22Z | > [!NOTE]
> Includes Unsloth **chat template fixes**! <br> For `llama.cpp`, use `--jinja`
>
<div>
<p style="margin-top: 0;margin-bottom: 0;">
<em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
</p>
... | [] |
Andycurrent/DeepSeek-R1-Distill-Qwen-7B-Uncensored_GGUF | Andycurrent | 2026-01-30T11:45:04Z | 1,605 | 3 | null | [
"gguf",
"Reasoning",
"Instruct",
"Uncensored",
"Distilled",
"GGUF",
"Quantized",
"en",
"zh",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
"base_model:quantized:deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-01-30T11:36:45Z | ---
license: apache-2.0
language:
- en
- zh
base_model:
- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
tags:
- Reasoning
- Instruct
- Uncensored
- Distilled
- GGUF
- Quantized
---
# DeepSeek-R1-Distill-Qwen-7B-Uncensored
This repository hosts **uncensored and efficiency-focused builds** of **DeepSeek-R1-Distill-Qwen-7B**,... | [] |
mradermacher/Qwen3.5-40B-RoughHouse-Claude-4.6-Opus-Polar-Deckard-Uncensored-Heretic-Thinking-GGUF | mradermacher | 2026-03-18T12:42:15Z | 2,484 | 2 | 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",... | null | 2026-03-18T08:43:01Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
mradermacher/Gemma-3-Prompt-Coder-270m-it-Uncensored-GGUF | mradermacher | 2026-04-25T02:52:03Z | 820 | 4 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"dataset:microsoft/rStar-Coder",
"dataset:gokaygokay/prompt-enhancement-75k",
"dataset:gokaygokay/prompt-enhancer-dataset",
"base_model:WithinUsAI/Gemma3-Prompt.Coder.it.Uncensored-270m",
"base_model:quantized:WithinUsAI/Gemma3-Prompt.Coder.it.Unc... | null | 2026-02-07T18:14:53Z | ## 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": 538,
"end": 582,
"text": "Gemma-3-Prompt-Coder-270m-it-Uncensored-GGUF",
"label": "benchmark name",
"score": 0.6380006670951843
}
] |
OmniSVG/OmniSVG | OmniSVG | 2025-07-21T09:57:44Z | 1,000 | 195 | null | [
"pytorch",
"qwen2_5_vl",
"SVG",
"Image-to-SVG",
"Text-to-SVG",
"text-generation",
"en",
"zh",
"dataset:OmniSVG/MMSVG-Icon",
"dataset:OmniSVG/MMSVG-Illustration",
"arxiv:2504.06263",
"base_model:Qwen/Qwen2.5-VL-3B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-3B-Instruct",
"license:apache... | text-generation | 2025-07-21T07:04:58Z | <!-- <div align= "center">
<h1> Official repo for OmniSVG</h1>
</div> -->
<h3 align="center"><strong>OmniSVG: A Unified Scalable Vector Graphics Generation Model</strong></h3>
<div align="center">
<a href='https://arxiv.org/abs/2504.06263'><img src='https://img.shields.io/badge/arXiv-2504.06263-b31b1b.svg'></a>... | [] |
Octen/Octen-Embedding-8B | Octen | 2026-02-09T04:11:02Z | 6,568 | 148 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3",
"sentence-similarity",
"feature-extraction",
"embedding",
"text-embedding",
"retrieval",
"en",
"zh",
"multilingual",
"base_model:Qwen/Qwen3-Embedding-8B",
"base_model:finetune:Qwen/Qwen3-Embedding-8B",
"license:apache-2.0",
"text-embedding... | sentence-similarity | 2025-12-23T08:14:22Z | # Octen-Embedding-8B
Octen-Embedding-8B is a text embedding model developed by [Octen](https://octen.ai/) for semantic search and retrieval tasks. This model is fine-tuned from [Qwen/Qwen3-Embedding-8B](https://huggingface.co/Qwen/Qwen3-Embedding-8B) and supports multiple languages, providing high-quality embeddings f... | [
{
"start": 535,
"end": 552,
"text": "Mean (Task) score",
"label": "evaluation metric",
"score": 0.6186647415161133
},
{
"start": 558,
"end": 564,
"text": "0.8045",
"label": "evaluation metric",
"score": 0.726387083530426
}
] |
mradermacher/Gemma-The-Writer-9B-abliterated-GGUF | mradermacher | 2025-11-27T02:11:38Z | 248 | 2 | 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 | 2025-11-24T01:23:40Z | ## 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": 528,
"end": 564,
"text": "Gemma-The-Writer-9B-abliterated-GGUF",
"label": "benchmark name",
"score": 0.6651057600975037
},
{
"start": 1260,
"end": 1296,
"text": "Gemma-The-Writer-9B-abliterated-GGUF",
"label": "benchmark name",
"score": 0.6017971634864807
}
] |
gabriellarson/LFM2-VL-1.6B-GGUF | gabriellarson | 2025-08-17T04:01:49Z | 290 | 3 | transformers | [
"transformers",
"gguf",
"liquid",
"lfm2",
"lfm2-vl",
"edge",
"image-text-to-text",
"en",
"base_model:LiquidAI/LFM2-VL-1.6B",
"base_model:quantized:LiquidAI/LFM2-VL-1.6B",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
] | image-text-to-text | 2025-08-17T03:50:49Z | <center>
<div style="text-align: center;">
<img
src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/7_6D7rWrLxp2hb6OHSV1p.png"
alt="Liquid AI"
style="width: 100%; max-width: 66%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
/>
</div>
</... | [] |
mistralai/Ministral-3-3B-Reasoning-2512-GGUF | mistralai | 2026-01-15T11:19:18Z | 5,178 | 31 | vllm | [
"vllm",
"gguf",
"mistral-common",
"en",
"fr",
"es",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"ar",
"arxiv:2601.08584",
"base_model:mistralai/Ministral-3-3B-Reasoning-2512",
"base_model:quantized:mistralai/Ministral-3-3B-Reasoning-2512",
"license:apache-2.0",
"region:us",
"conv... | null | 2025-10-31T08:45:49Z | # Ministral 3 3B Reasoning 2512 GGUF
The smallest model in the Ministral 3 family, **Ministral 3 3B** is a powerful, efficient tiny language model with vision capabilities.
This model includes different quantization levels of the reasoning post-trained version in **GGUF**, trained for reasoning tasks, making it ideal... | [
{
"start": 268,
"end": 272,
"text": "GGUF",
"label": "benchmark name",
"score": 0.6025087833404541
}
] |
ByteDance-Seed/Seed-OSS-36B-Instruct | ByteDance-Seed | 2025-08-26T02:33:00Z | 22,179 | 492 | transformers | [
"transformers",
"safetensors",
"seed_oss",
"text-generation",
"vllm",
"conversational",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-08-20T15:03:26Z | <div align="center">
👋 Hi, everyone!
<br>
We are <b>ByteDance Seed Team.</b>
</div>
<p align="center">
You can get to know us better through the following channels👇
<br>
<a href="https://seed.bytedance.com/">
<img src="https://img.shields.io/badge/Website-%231e37ff?style=for-the-badge&logo=bytedan... | [] |
mradermacher/Harvey-9B-GGUF | mradermacher | 2026-04-11T13:44:00Z | 500 | 2 | transformers | [
"transformers",
"gguf",
"legal",
"el-salvador",
"jurisprudence",
"en",
"es",
"base_model:Aquiles-ai/Harvey-9B",
"base_model:quantized:Aquiles-ai/Harvey-9B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-10T10:56:46Z | ## 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": 509,
"end": 523,
"text": "Harvey-9B-GGUF",
"label": "benchmark name",
"score": 0.7251176238059998
},
{
"start": 1085,
"end": 1099,
"text": "Harvey-9B-GGUF",
"label": "benchmark name",
"score": 0.6631447076797485
},
{
"start": 1113,
"end": 1122,
... |
mradermacher/gemma-3-4b-it-heretic-uncensored-abliterated-balanced-GGUF | mradermacher | 2025-11-23T21:56:54Z | 135 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"finetune",
"en",
"base_model:DavidAU/gemma-3-4b-it-heretic-uncensored-abliterated-balanced",
"base_model:quantized:DavidAU/gemma-3-4b-it-heretic-uncensored-abliterated-balanced",
"endpoints_compatible",
"region:us",... | null | 2025-11-23T21:17:46Z | ## 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-4.1V-9B-Base | zai-org | 2025-10-25T12:54:27Z | 3,036 | 66 | transformers | [
"transformers",
"safetensors",
"glm4v",
"image-text-to-text",
"reasoning",
"conversational",
"en",
"zh",
"arxiv:2507.01006",
"base_model:zai-org/GLM-4-9B-0414",
"base_model:finetune:zai-org/GLM-4-9B-0414",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2025-06-28T14:23:46Z | # GLM-4.1V-9B-Base
<div align="center">
<img src=https://raw.githubusercontent.com/zai-org/GLM-4.1V-Thinking/99c5eb6563236f0ff43605d91d107544da9863b2/resources/logo.svg width="40%"/>
</div>
<p align="center">
📖 View the GLM-4.1V-9B-Thinking <a href="https://arxiv.org/abs/2507.01006" target="_blank">paper</a... | [] |
facebook/metaclip-2-worldwide-huge-quickgelu | facebook | 2025-08-18T07:30:40Z | 51,478 | 18 | transformers | [
"transformers",
"safetensors",
"metaclip_2",
"clip",
"multilingual",
"zero-shot-image-classification",
"arxiv:2507.22062",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | 2025-07-31T16:01:58Z | # Model Card for MetaCLIP 2 (worldwide)
MetaCLIP 2 (worldwide) was presented in [MetaCLIP 2: A Worldwide Scaling Recipe](https://huggingface.co/papers/2507.22062).
This checkpoint corresponds to "ViT-H-14-quickgelu-worldwide" of the [original implementation](https://github.com/facebookresearch/MetaCLIP).
## Install
... | [] |
ibm-esa-geospatial/Llama3-MS-CLIP-base | ibm-esa-geospatial | 2025-08-06T06:25:02Z | 195 | 8 | terratorch | [
"terratorch",
"multispectral",
"earth-observation",
"zero-shot-image-classification",
"dataset:embed2scale/SSL4EO-S12-v1.1",
"dataset:ibm-esa-geospatial/Llama3-SSL4EO-S12-v1.1-captions",
"arxiv:2503.15969",
"base_model:laion/CLIP-ViT-B-16-laion2B-s34B-b88K",
"base_model:finetune:laion/CLIP-ViT-B-16-... | zero-shot-image-classification | 2025-06-25T13:33:51Z | [](https://arxiv.org/abs/2503.15969)
[](https://github.com/IBM/MS-CLIP)
[](https://github.com/DLR-MF-DA... | [
{
"start": 510,
"end": 524,
"text": "Llama3-MS-CLIP",
"label": "benchmark name",
"score": 0.7795858979225159
},
{
"start": 535,
"end": 549,
"text": "Llama3-MS-CLIP",
"label": "benchmark name",
"score": 0.7791110873222351
},
{
"start": 1272,
"end": 1286,
"t... |
unsloth/NVIDIA-Nemotron-3-Nano-4B-FP8 | unsloth | 2026-03-26T11:58:29Z | 701 | 2 | null | [
"safetensors",
"nemotron_h",
"nvidia",
"pytorch",
"text-generation",
"conversational",
"custom_code",
"en",
"arxiv:2511.16664",
"arxiv:2504.03624",
"arxiv:2512.20856",
"arxiv:2512.20848",
"arxiv:2412.02595",
"base_model:nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16",
"base_model:finetune:nvidia/... | text-generation | 2026-03-16T14:03:06Z | # Read our How to [Run Nemotron 3 Nano Guide!](https://docs.unsloth.ai/models/nemotron-3)
<div>
<p style="margin-top: 0;margin-bottom: 0;">
<em>See <a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0 GGUFs</a> for our quantization benchmarks.</em>
</p>
<div style="display: fle... | [] |
Unbabel/wmt22-comet-da | Unbabel | 2025-02-26T17:13:20Z | 5,646 | 54 | comet | [
"comet",
"translation",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
"he",
"hi",
"hr",
"hu",
... | translation | 2023-02-10T17:23:36Z | This is a [COMET](https://github.com/Unbabel/COMET) evaluation model: It receives a triplet with (source sentence, translation, reference translation) and returns a score that reflects the quality of the translation compared to both source and reference.
# Paper
[COMET-22: Unbabel-IST 2022 Submission for the Metrics ... | [] |
Qwen/Qwen3-Embedding-4B | Qwen | 2025-06-20T09:30:56Z | 1,350,014 | 239 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"qwen3",
"text-generation",
"transformers",
"sentence-similarity",
"feature-extraction",
"text-embeddings-inference",
"arxiv:2506.05176",
"base_model:Qwen/Qwen3-4B-Base",
"base_model:finetune:Qwen/Qwen3-4B-Base",
"license:apache-2.0",
"endpoints_compat... | feature-extraction | 2025-06-03T14:31:33Z | # Qwen3-Embedding-4B
<p align="center">
<img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/logo_qwen3.png" width="400"/>
<p>
## Highlights
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon... | [
{
"start": 1029,
"end": 1058,
"text": "MTEB multilingual leaderboard",
"label": "benchmark name",
"score": 0.6671484112739563
}
] |
mradermacher/GUI-Owl-1.5-4B-Instruct-i1-GGUF | mradermacher | 2026-02-20T16:08:00Z | 228 | 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",
"imatrix",
"conversational"
] | null | 2026-02-16T14:16:39Z | ## 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/DR-Tulu-8B-GGUF | mradermacher | 2025-11-19T09:07:37Z | 144 | 5 | transformers | [
"transformers",
"gguf",
"en",
"dataset:rl-research/dr-tulu-rl-data",
"base_model:rl-research/DR-Tulu-8B",
"base_model:quantized:rl-research/DR-Tulu-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-11-19T04:59:36Z | ## 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... | [] |
XeyonAI/Mistral-Helcyon-Mercury-12b-v3.2-GGUF | XeyonAI | 2026-03-09T12:02:19Z | 767 | 5 | null | [
"gguf",
"companion",
"assistant",
"conversational",
"roleplay",
"adventure",
"writing",
"long-context",
"en",
"base_model:mistralai/Mistral-Nemo-Instruct-2407",
"base_model:quantized:mistralai/Mistral-Nemo-Instruct-2407",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2026-02-07T18:31:03Z | # Helcyon-Mercury-12B-v3.2-GGUF — State-of-the-Art Conversational Presence
**Model Name:** `helcyon-mercury-12b-v3.2-GGUF`
**Version:** 3.2
**Owner:** HardWire
**Base:** Mistral Nemo 12B (full weight trained + LoRA merges)
**Quantized GGUFs:** Q3_K_M, Q4_K_M, Q5_K_M, Q6_K, Q8_0
**Tags:** local-llm, conversat... | [] |
lmg-anon/vntl-llama3-8b-v2-gguf | lmg-anon | 2025-01-02T11:59:48Z | 996,112 | 13 | null | [
"gguf",
"translation",
"ja",
"en",
"dataset:lmg-anon/VNTL-v5-1k",
"base_model:rinna/llama-3-youko-8b",
"base_model:quantized:rinna/llama-3-youko-8b",
"license:llama3",
"endpoints_compatible",
"region:us",
"conversational"
] | translation | 2025-01-02T11:48:03Z | # Summary
This is a [LLaMA 3 Youko](https://huggingface.co/rinna/llama-3-youko-8b) qlora fine-tune, created using a new version of the VNTL dataset. The purpose of this fine-tune is to improve performance of LLMs at translating Japanese visual novels to English.
Unlike the previous version, this one doesn't includes ... | [
{
"start": 1572,
"end": 1585,
"text": "Learning Rate",
"label": "evaluation metric",
"score": 0.7441779375076294
},
{
"start": 1598,
"end": 1621,
"text": "Embedding Learning Rate",
"label": "evaluation metric",
"score": 0.6985670328140259
}
] |
WizardLMTeam/WizardLM-13B-V1.0 | WizardLMTeam | 2023-09-01T07:56:25Z | 1,019 | 75 | transformers | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2023-05-13T15:17:01Z | This is WizardLM-13B V1.0 diff weight.
Project Repo: https://github.com/nlpxucan/WizardLM
NOTE: The **WizardLM-13B-1.0** and **Wizard-7B** use different prompt at the beginning of the conversation:
For **WizardLM-13B-1.0** , the Prompt should be as following:
```
A chat between a curious user and an artificial int... | [] |
mradermacher/YanoljaNEXT-Rosetta-27B-2511-i1-GGUF | mradermacher | 2025-12-08T09:03:45Z | 454 | 1 | transformers | [
"transformers",
"gguf",
"translation",
"ar",
"bg",
"zh",
"cs",
"da",
"nl",
"en",
"fi",
"fr",
"de",
"el",
"gu",
"he",
"hi",
"hu",
"id",
"it",
"ja",
"ko",
"fa",
"pl",
"pt",
"ro",
"ru",
"sk",
"es",
"sv",
"tl",
"th",
"tr",
"uk",
"vi",
"base_model:yan... | translation | 2025-11-04T01:23:45Z | ## 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_... | [] |
LiquidAI/LFM2-24B-A2B-MLX-4bit | LiquidAI | 2026-02-24T14:04:55Z | 618 | 6 | mlx | [
"mlx",
"safetensors",
"lfm2_moe",
"liquid",
"lfm2",
"moe",
"text-generation",
"conversational",
"en",
"base_model:LiquidAI/LFM2-24B-A2B",
"base_model:quantized:LiquidAI/LFM2-24B-A2B",
"license:other",
"4-bit",
"region:us"
] | text-generation | 2026-02-18T23:26:46Z | <div 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 style="display: flex; ... | [] |
bartowski/Qwen_Qwen3.5-397B-A17B-GGUF | bartowski | 2026-03-12T22:47:56Z | 153,429 | 6 | null | [
"gguf",
"image-text-to-text",
"base_model:Qwen/Qwen3.5-397B-A17B",
"base_model:quantized:Qwen/Qwen3.5-397B-A17B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | image-text-to-text | 2026-02-17T13:19:41Z | ## Llamacpp imatrix Quantizations of Qwen3.5-397B-A17B by Qwen
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/b8192">b8192</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen3.5-397B-A17B
All quants made usin... | [] |
prithivMLmods/CapRL-Qwen3VL-4B-GGUF | prithivMLmods | 2025-12-27T13:22:56Z | 2,988 | 1 | transformers | [
"transformers",
"gguf",
"qwen3_vl",
"text-generation-inference",
"multimodal",
"image caption",
"captioning",
"image-text-to-text",
"en",
"base_model:internlm/CapRL-Qwen3VL-4B",
"base_model:quantized:internlm/CapRL-Qwen3VL-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"... | image-text-to-text | 2025-12-27T09:45:12Z | # **CapRL-Qwen3VL-4B-GGUF**
> CapRL-Qwen3VL-4B from internlm is a 4B-parameter vision-language model from the CapRL 2.0 series, fine-tuned from Qwen3-VL-4B using an upgraded Reinforcement Learning with Verifiable Rewards (RLVR) two-stage pipeline—LVLMs generate rich captions followed by vision-only LLM QA evaluation o... | [] |
DeepSQL/DeepSQL-1.0 | DeepSQL | 2026-03-13T22:46:07Z | 652 | 1 | null | [
"safetensors",
"gguf",
"qwen2",
"text-to-sql",
"sql-generation",
"natural-language-to-sql",
"deepseek",
"qwen",
"reasoning",
"database",
"text-generation",
"conversational",
"en",
"dataset:ameet/deepsql_training",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"base_model:quan... | text-generation | 2025-11-17T00:26:56Z | # DeepSQL
DeepSQL is a fine-tuned language model specialized in converting natural language questions into SQL queries. It is based on [DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) and has been trained to understand database schemas and generate accurate SQL queries ... | [] |
argus-ai/pplx-embed-context-v1-0.6b-GGUF | argus-ai | 2026-03-30T12:02:42Z | 392 | 2 | null | [
"gguf",
"feature-extraction",
"sentence-similarity",
"embeddings",
"contextual-embeddings",
"perplexity",
"base_model:perplexity-ai/pplx-embed-context-v1-0.6b",
"base_model:quantized:perplexity-ai/pplx-embed-context-v1-0.6b",
"endpoints_compatible",
"region:us"
] | feature-extraction | 2026-02-28T11:36:24Z | !!!use this custom llama.cpp version to verify bitperfect compatibility with the original model:
https://github.com/hellc/llama.cpp/commits/master/
# argus-ai/pplx-embed-context-v1-0.6b-GGUF
This repository contains GGUF format quantized files for Perplexity's [pplx-embed-context-v1-0.6b](https://huggingface.co/perpl... | [] |
Applied-Innovation-Center/Karnak | Applied-Innovation-Center | 2026-04-24T12:31:06Z | 5,029 | 30 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"pytorch",
"vllm",
"causal-lm",
"depth-extension",
"arabic",
"english",
"karnak",
"qwen",
"conversational",
"ar",
"en",
"base_model:Qwen/Qwen3-30B-A3B-Instruct-2507",
"base_model:finetune:Qwen/Qwen3-30B-A3B-Instruct-2507"... | text-generation | 2026-02-06T16:42:05Z | # Karnak: Enhanced Arabic–English Large Language Model
Karnak is a powerful AI model that works in both Arabic and English, with extra improvements that make it especially strong in Arabic and more natural in the way it writes and responds. It was built by taking an existing model and improving it through more training... | [] |
abr-ai/asr-19m-v2-en | abr-ai | 2026-04-07T18:14:09Z | 316 | 10 | transformers | [
"transformers",
"asr-19m-v2",
"automatic-speech-recognition",
"custom_code",
"en",
"license:other",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2025-11-13T18:13:55Z | # ABR's asr-19m-v2-en SSM
The asr-19m-v2-en model is a [State Space Model](https://huggingface.co/blog/lbourdois/get-on-the-ssm-train) (SSM) with attention that performs automatic speech recognition (ASR), trained and released by [Applied Brain Research](http://www.appliedbrainresearch.com) (ABR). This model contains ... | [] |
Salesforce/SFR-Embedding-Mistral | Salesforce | 2025-02-04T21:01:42Z | 11,716 | 298 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"mistral",
"feature-extraction",
"mteb",
"transformers",
"en",
"arxiv:2210.07316",
"arxiv:2310.06825",
"arxiv:2401.00368",
"arxiv:2104.08663",
"license:cc-by-nc-4.0",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azu... | feature-extraction | 2024-01-24T22:29:26Z | <h1 align="center">Salesforce/SFR-Embedding-Mistral</h1>
**SFR-Embedding by Salesforce Research.**
The model is trained on top of [E5-mistral-7b-instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct) and [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1).
This project is for research purp... | [
{
"start": 488,
"end": 502,
"text": "MTEB benchmark",
"label": "benchmark name",
"score": 0.6584809422492981
}
] |
instruction-pretrain/InstructLM-500M | instruction-pretrain | 2026-03-02T08:22:04Z | 2,652 | 37 | transformers | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"en",
"dataset:tiiuae/falcon-refinedweb",
"dataset:instruction-pretrain/ft-instruction-synthesizer-collection",
"dataset:instruction-pretrain/general-instruction-augmented-corpora",
"arxiv:2406.14491",
"arxiv:2601.16206",
... | text-generation | 2024-06-18T13:59:20Z | # Instruction Pre-Training: Language Models are Supervised Multitask Learners (EMNLP 2024)
This repo contains the **general models pre-trained from scratch** (on 100B tokens) in our paper [Instruction Pre-Training: Language Models are Supervised Multitask Learners](https://huggingface.co/papers/2406.14491).
We explore... | [] |
kalle07/embedder_collection | kalle07 | 2026-03-05T13:53:47Z | 10,387 | 29 | sentence-transformers | [
"sentence-transformers",
"gguf",
"sentence-similarity",
"feature-extraction",
"embedder",
"embedding",
"models",
"GGUF",
"Bert",
"Nomic",
"Gist",
"Granite",
"BGE",
"Jina",
"gemma",
"Snowflake",
"Qwen",
"text-embeddings-inference",
"RAG",
"Rerank",
"similarity",
"PDF",
"Pa... | sentence-similarity | 2025-03-03T16:46:55Z | # <b>This is a collection of more than 25 types of embedding models and a really brief introduction to what you should know about embedding.If you don't keep a few things in mind, you won't be satisfied with the results.</b>
<br>
at end of the file-list press
![grafik](https://cdn-uploads.huggingface.co/production/upl... | [] |
mradermacher/Qwen3-MOE-4x0.6B-2.4B-Writing-Thunder-i1-GGUF | mradermacher | 2025-12-23T04:49:40Z | 148 | 1 | transformers | [
"transformers",
"gguf",
"programming",
"code generation",
"code",
"codeqwen",
"moe",
"coding",
"coder",
"qwen2",
"chat",
"qwen",
"qwen-coder",
"mixture of experts",
"4 experts",
"2 active experts",
"40k context",
"qwen3",
"finetune",
"qwen3_moe",
"creative",
"all use cases"... | null | 2025-08-27T06:48:23Z | ## 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_K... | [
{
"start": 462,
"end": 499,
"text": "Qwen3-MOE-4x0.6B-2.4B-Writing-Thunder",
"label": "benchmark name",
"score": 0.693229615688324
},
{
"start": 636,
"end": 681,
"text": "Qwen3-MOE-4x0.6B-2.4B-Writing-Thunder-i1-GGUF",
"label": "benchmark name",
"score": 0.744013905525207... |
mradermacher/gpt-oss-20b-Derestricted-GGUF | mradermacher | 2025-11-28T08:19:32Z | 1,047 | 10 | transformers | [
"transformers",
"gguf",
"abliterated",
"derestricted",
"gpt-oss-20b",
"openai",
"unlimited",
"uncensored",
"en",
"base_model:ArliAI/gpt-oss-20b-Derestricted",
"base_model:quantized:ArliAI/gpt-oss-20b-Derestricted",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2025-11-28T02:14:52Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: MXFP4_MOE x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->... | [] |
freddyaboulton/3b-es_it-ft-research_release-Q4_K_M-GGUF | freddyaboulton | 2025-04-09T20:17:15Z | 494 | 1 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-to-speech",
"es",
"it",
"base_model:canopylabs/3b-es_it-ft-research_release",
"base_model:quantized:canopylabs/3b-es_it-ft-research_release",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | text-to-speech | 2025-04-09T20:17:03Z | # freddyaboulton/3b-es_it-ft-research_release-Q4_K_M-GGUF
This model was converted to GGUF format from [`canopylabs/3b-es_it-ft-research_release`](https://huggingface.co/canopylabs/3b-es_it-ft-research_release) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
... | [] |
naver-hyperclovax/HyperCLOVAX-SEED-Think-32B | naver-hyperclovax | 2026-01-06T02:50:18Z | 38,438 | 396 | transformers | [
"transformers",
"safetensors",
"vlm",
"text-generation",
"conversational",
"custom_code",
"license:other",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-23T14:11:22Z | 
# Overview
HyperCLOVA X SEED 32B Think is an updated vision-language thinking model that advances the [SEED Think 14B](https://huggingface.co/naver-hyperclovax/HyperCLOVAX-SEED-Think-14B) line beyond simp... | [] |
mradermacher/Lumian2-VLR-7B-Thinking-i1-GGUF | mradermacher | 2025-12-31T03:02:52Z | 219 | 1 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"trl",
"thinking",
"vlr",
"ocr",
"vision-language",
"reasoning",
"grounded-visual-reasoning",
"sft",
"grpo",
"code",
"thinking=1",
"en",
"base_model:prithivMLmods/Lumian2-VLR-7B-Thinking",
"base_model:quantized:prithivMLmods/Lumian... | null | 2025-08-08T14:50:12Z | ## 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": 628,
"end": 659,
"text": "Lumian2-VLR-7B-Thinking-i1-GGUF",
"label": "benchmark name",
"score": 0.6464453935623169
}
] |
nvidia/Hymba-1.5B-Base | nvidia | 2025-11-26T18:50:48Z | 567 | 157 | transformers | [
"transformers",
"safetensors",
"hymba",
"text-generation",
"conversational",
"custom_code",
"arxiv:2411.13676",
"license:other",
"region:us"
] | text-generation | 2024-10-09T20:18:18Z | # Hymba-1.5B-Base
<p align="center">
💾 <a href="https://github.com/NVlabs/hymba">Github</a>   |    📄 <a href="https://arxiv.org/abs/2411.13676">Paper</a> |    📜 <a href="https://developer.nvidia.com/blog/hymba-hybrid-head-architecture-boosts-small-language-model-performance/">Blog</a>  ... | [] |
mradermacher/Gemma-3-27B-Derestricted-i1-GGUF | mradermacher | 2025-12-23T23:45:36Z | 539 | 6 | transformers | [
"transformers",
"gguf",
"gemma",
"gemma-3",
"text-generation",
"conversational",
"abliterated",
"en",
"base_model:Nabbers1999/Gemma-3-27B-it-NP-Abliterated",
"base_model:quantized:Nabbers1999/Gemma-3-27B-it-NP-Abliterated",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix"
] | text-generation | 2025-11-29T17:12:14Z | ## 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": 633,
"end": 665,
"text": "Gemma-3-27B-Derestricted-i1-GGUF",
"label": "benchmark name",
"score": 0.6753017902374268
},
{
"start": 739,
"end": 768,
"text": "Gemma-3-27B-Derestricted-GGUF",
"label": "benchmark name",
"score": 0.6304157972335815
},
{
"star... |
Armaggheddon/yolo26-document-layout | Armaggheddon | 2026-03-15T16:01:26Z | 167 | 1 | ultralytics | [
"ultralytics",
"object-detection",
"document-layout",
"yolov26",
"document-layout-analysis",
"document-ai",
"en",
"dataset:docling-project/DocLayNet-v1.2",
"base_model:Ultralytics/YOLO26",
"base_model:finetune:Ultralytics/YOLO26",
"license:mit",
"region:us"
] | object-detection | 2026-03-15T10:19:23Z | # YOLOv26 for Advanced Document Layout Analysis
<p align="center">
<img src="images/logo.png" alt="Logo" width="100%"/>
</p>
This repository hosts three YOLOv26 models (**nano, small, and medium**) fine-tuned for high-performance **Document Layout Analysis** on the challenging [DocLayNet v1.2 dataset](https://huggi... | [] |
Ex0bit/Elbaz-Olmo-3-7B-Instruct-abliterated | Ex0bit | 2025-11-30T04:22:28Z | 541 | 3 | transformers | [
"transformers",
"safetensors",
"gguf",
"olmo3",
"text-generation",
"olmo",
"olmo-3",
"abliterated",
"uncensored",
"llama-cpp",
"ollama",
"refusal-removal",
"triangular-abliteration",
"orthogonalization",
"no-filter",
"unfiltered",
"unrestricted",
"conversational",
"en",
"datase... | text-generation | 2025-11-22T08:34:07Z | # Elbaz-Olmo-3-7B-Instruct-abliterated
<div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/65316953791d5a2611426c20/nC44-uxMD6J6H3OHxRtVU.png" alt="OLMo-3 Logo" width="200"/>
<h2 style="color: #FF69B4; margin-top: 10px;">abliterated</h2>
**An abliterated (uncensored) version of OLMo... | [] |
mradermacher/RimDialogue-8B-v1-PaperWitch-heresy-i1-GGUF | mradermacher | 2026-02-21T13:47:53Z | 228 | 1 | transformers | [
"transformers",
"gguf",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"base_model:MuXodious/RimDialogue-8B-v1-PaperWitch-heresy",
"base_model:quantized:MuXodious/RimDialogue-8B-v1-PaperWitch-heresy",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2026-02-21T12:30:06Z | ## 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": 637,
"end": 680,
"text": "RimDialogue-8B-v1-PaperWitch-heresy-i1-GGUF",
"label": "benchmark name",
"score": 0.6281269788742065
}
] |
mradermacher/CapRL-3B-GGUF | mradermacher | 2025-10-17T19:14:12Z | 1,330 | 5 | transformers | [
"transformers",
"gguf",
"multimodal",
"image caption",
"captioning",
"en",
"dataset:internlm/CapRL-2M",
"base_model:internlm/CapRL-3B",
"base_model:quantized:internlm/CapRL-3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-29T14:51:59Z | ## 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": 506,
"end": 519,
"text": "CapRL-3B-GGUF",
"label": "benchmark name",
"score": 0.617902398109436
},
{
"start": 1253,
"end": 1261,
"text": "CapRL-3B",
"label": "benchmark name",
"score": 0.6043615341186523
}
] |
Salesforce/Llama-xLAM-2-8b-fc-r-gguf | Salesforce | 2025-05-06T15:19:41Z | 727 | 19 | transformers | [
"transformers",
"gguf",
"function-calling",
"LLM Agent",
"tool-use",
"llama",
"qwen",
"pytorch",
"LLaMA-factory",
"text-generation",
"en",
"dataset:Salesforce/APIGen-MT-5k",
"dataset:Salesforce/xlam-function-calling-60k",
"arxiv:2504.03601",
"arxiv:2503.22673",
"arxiv:2409.03215",
"a... | text-generation | 2025-03-28T23:24:10Z | <p align="center">
<img width="500px" alt="xLAM" src="https://huggingface.co/datasets/jianguozhang/logos/resolve/main/xlam-no-background.png">
</p>
<p align="center">
<a href="https://arxiv.org/abs/2504.03601">[Paper]</a> |
<a href="https://apigen-mt.github.io/">[Homepage]</a> |
<a href="https://huggingface.c... | [] |
tencent/HY-MT1.5-1.8B-FP8 | tencent | 2026-01-01T02:35:59Z | 2,053 | 15 | transformers | [
"transformers",
"safetensors",
"hunyuan_v1_dense",
"text-generation",
"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",... | translation | 2025-12-25T10:43:21Z | <p align="center">
<img src="https://github.com/Tencent-Hunyuan/HY-MT/raw/main/imgs/hunyuanlogo.png" width="400"/> <br>
</p><p></p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/tencent/hy-mt15"><b>Hugging Face</b></a> |
🕹️ <a href="https://hunyuan.tencen... | [] |
mradermacher/actio-ui-7b-sft-GGUF | mradermacher | 2026-01-07T13:11:40Z | 777 | 1 | transformers | [
"transformers",
"gguf",
"Multimodal",
"VLM",
"Computer-Use-Agent",
"Web-Agent",
"GUI",
"Grounding",
"GUI Subtask",
"en",
"base_model:Uniphore/actio-ui-7b-sft",
"base_model:quantized:Uniphore/actio-ui-7b-sft",
"license:openmdw-1.0",
"endpoints_compatible",
"region:us",
"conversational"
... | null | 2025-12-11T08:51:18Z | ## 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... | [] |
Qwen/Qwen3-Embedding-8B-GGUF | Qwen | 2025-07-15T02:30:41Z | 36,321 | 108 | null | [
"gguf",
"arxiv:2506.05176",
"base_model:Qwen/Qwen3-8B-Base",
"base_model:quantized:Qwen/Qwen3-8B-Base",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-06-05T07:59:05Z | # Qwen3-Embedding-8B-GGUF
<p align="center">
<img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/logo_qwen3.png" width="400"/>
<p>
## Highlights
The Qwen3 Embedding series model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. B... | [
{
"start": 1041,
"end": 1070,
"text": "MTEB multilingual leaderboard",
"label": "benchmark name",
"score": 0.6918724775314331
}
] |
miromind-ai/MiroThinker-v1.5-30B | miromind-ai | 2026-03-20T08:20:28Z | 973 | 244 | transformers | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"agent",
"open-source",
"miromind",
"deep-research",
"conversational",
"en",
"arxiv:2511.11793",
"base_model:Qwen/Qwen3-30B-A3B-Thinking-2507",
"base_model:finetune:Qwen/Qwen3-30B-A3B-Thinking-2507",
"license:mit",
"eval-resu... | text-generation | 2026-01-04T05:49:36Z | <div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/68525b342230a897a65cc1c0/87mYQ_a-4jpnMkVR4hrgm.png" width="55%" alt="MiroThinker" />
</div>
<div align="center">
[](https://dr.m... | [] |
aisingapore/Qwen-SEA-LION-v4-32B-IT | aisingapore | 2026-05-04T12:35:29Z | 7,123 | 7 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"en",
"zh",
"vi",
"id",
"th",
"fil",
"ta",
"ms",
"km",
"lo",
"my",
"arxiv:2502.14301",
"arxiv:2311.07911",
"arxiv:2306.05685",
"base_model:Qwen/Qwen3-32B",
"base_model:finetune:Qwen/Qwen3-32B",
"te... | text-generation | 2025-10-16T06:58:34Z | 
## Qwen-SEA-LION-v4-32B-IT (Instruct model)
Last update: 2025-10-16
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-v4-32B-IT** is based on Qwen3, which... | [] |
hustvl/yolos-tiny | hustvl | 2024-04-10T14:33:27Z | 102,388 | 280 | transformers | [
"transformers",
"pytorch",
"safetensors",
"yolos",
"object-detection",
"vision",
"dataset:coco",
"arxiv:2106.00666",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | object-detection | 2022-04-26T09:28:47Z | # YOLOS (tiny-sized) model
YOLOS model fine-tuned on COCO 2017 object detection (118k annotated images). It was introduced in the paper [You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection](https://arxiv.org/abs/2106.00666) by Fang et al. and first released in [this repository](htt... | [] |
slovak-nlp/Qwen3-14B-sk | slovak-nlp | 2026-03-26T17:37:20Z | 662 | 3 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"sk",
"base_model:Qwen/Qwen3-14B",
"base_model:finetune:Qwen/Qwen3-14B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-03-24T17:56:53Z | # Model Card for Qwen3-14B-sk
**Qwen3-14B-sk** is a Slovak language version of the Qwen3-14B large language model with 14 billion parameters.
## Model Details
Qwen3-14B-sk is a Slovak language model obtained by full parameter fine-tuning of the Qwen3-14B large language model. The model was developed in collaboration... | [] |
mradermacher/Nanbeige4.1-3B-heretic-GGUF | mradermacher | 2026-02-18T06:30:25Z | 2,320 | 4 | transformers | [
"transformers",
"gguf",
"llm",
"nanbeige",
"heretic",
"uncensored",
"decensored",
"abliterated",
"en",
"zh",
"base_model:heretic-org/Nanbeige4.1-3B-heretic",
"base_model:quantized:heretic-org/Nanbeige4.1-3B-heretic",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversat... | null | 2026-02-18T06:00:10Z | ## 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... | [] |
TheDrummer/Rivermind-24B-v1-GGUF | TheDrummer | 2025-10-31T11:27:15Z | 319 | 7 | null | [
"gguf",
"base_model:mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"base_model:quantized:mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-10-31T10:37:09Z | # Join our Discord! https://discord.gg/BeaverAI
## More than 8000 members strong 💪 A hub for users and makers alike!
---
## Drummer is open for new opportunities: https://linktr.ee/thelocaldrummer
### Thank you to everyone who subscribed through [Patreon](https://www.patreon.com/TheDrummer). Your support helps me chug... | [] |
ufal/robeczech-base | ufal | 2024-09-30T14:58:09Z | 1,904 | 16 | transformers | [
"transformers",
"pytorch",
"tf",
"safetensors",
"roberta",
"fill-mask",
"RobeCzech",
"Czech",
"RoBERTa",
"ÚFAL",
"cs",
"arxiv:2105.11314",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | ---
language: cs
license: cc-by-nc-sa-4.0
tags:
- RobeCzech
- Czech
- RoBERTa
- ÚFAL
---
# Model Card for RobeCzech
## Version History
- **version 1.1**: Version 1.1 was released in Jan 2024, with a change to the
tokenizer described below; the model parameters were mostly kept the same, but
(a) the embeddings we... | [] |
meituan-longcat/LongCat-Next | meituan-longcat | 2026-03-31T03:26:20Z | 791 | 118 | LongCat-Next | [
"LongCat-Next",
"safetensors",
"longcat_next",
"text-generation",
"transformers",
"multimodal",
"any-to-any",
"custom_code",
"arxiv:2603.27538",
"license:mit",
"region:us"
] | any-to-any | 2026-03-25T13:18:39Z | # LongCat-Next
<div align="center">
<img src="https://raw.githubusercontent.com/meituan-longcat/LongCat-Flash-Chat/main/figures/longcat_logo.svg"
width="300"
alt="LongCat Logo"/>
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href="https://longcat.chat/longcat-next/intro" target="_bl... | [] |
FreedomIntelligence/HuatuoGPT-o1-7B | FreedomIntelligence | 2025-01-06T02:40:16Z | 233 | 57 | null | [
"safetensors",
"medical",
"text-generation",
"en",
"zh",
"dataset:FreedomIntelligence/medical-o1-reasoning-SFT",
"dataset:FreedomIntelligence/medical-o1-verifiable-problem",
"arxiv:2412.18925",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Instruct",
"license:apache... | text-generation | 2024-12-26T04:28:55Z | <div align="center">
<h1>
HuatuoGPT-o1-7B
</h1>
</div>
<div align="center">
<a href="https://github.com/FreedomIntelligence/HuatuoGPT-o1" target="_blank">GitHub</a> | <a href="https://arxiv.org/pdf/2412.18925" target="_blank">Paper</a>
</div>
# <span>Introduction</span>
**HuatuoGPT-o1** is a medical LLM designed fo... | [] |
badianeai/AnandaSky | badianeai | 2026-03-13T22:22:17Z | 103 | 2 | transformers | [
"transformers",
"safetensors",
"ananda",
"text-generation",
"ocr",
"htr",
"vision-language-model",
"historical-documents",
"chinese",
"classical-chinese",
"image-to-text",
"custom_code",
"zh",
"base_model:Qwen/Qwen3-0.6B",
"base_model:finetune:Qwen/Qwen3-0.6B",
"license:cc-by-nc-4.0",
... | image-to-text | 2026-03-12T07:44:42Z | <p align="center">
<img src="assets/duowendiyi.jpg">
</p>
# AnandaSky
**AnandaSky** is a vision-language model for line-level transcription of historical sinographic documents.
The name combines *Ananda*—the disciple of the Buddha traditionally associated with the "encoding" of early Buddhist texts—and *Sky*, the... | [
{
"start": 1327,
"end": 1330,
"text": "CER",
"label": "evaluation metric",
"score": 0.6143553256988525
},
{
"start": 1369,
"end": 1372,
"text": "CER",
"label": "evaluation metric",
"score": 0.8332020044326782
},
{
"start": 1626,
"end": 1629,
"text": "CER",... |
mradermacher/Alisia-7B-it-i1-GGUF | mradermacher | 2025-12-10T22:12:26Z | 128 | 3 | transformers | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"qwen",
"code",
"question-answering",
"fact-cheking",
"reasoning",
"en",
"base_model:Gems234/Alisia-7B-it",
"base_model:quantized:Gems234/Alisia-7B-it",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",... | question-answering | 2025-09-16T09:17:18Z | ## 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_... | [
{
"start": 612,
"end": 632,
"text": "Alisia-7B-it-i1-GGUF",
"label": "benchmark name",
"score": 0.651463508605957
},
{
"start": 1184,
"end": 1204,
"text": "Alisia-7B-it-i1-GGUF",
"label": "benchmark name",
"score": 0.6073947548866272
}
] |
mradermacher/GPT-5-Distill-Qwen3-4B-Instruct-Heretic-GGUF | mradermacher | 2025-12-12T08:14:11Z | 102 | 2 | transformers | [
"transformers",
"gguf",
"GPT-5",
"Distill",
"Qwen3",
"4B",
"Instruct",
"Heretic",
"Uncensored",
"Abliterated",
"en",
"zh",
"dataset:Jackrong/ShareGPT-Qwen3-235B-A22B-Instuct-2507",
"base_model:ChiKoi7/GPT-5-Distill-Qwen3-4B-Instruct-Heretic",
"base_model:quantized:ChiKoi7/GPT-5-Distill-Q... | null | 2025-12-12T07:37:08Z | ## 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... | [] |
yueliu1999/GuardReasoner-8B | yueliu1999 | 2025-02-02T16:48:52Z | 1,973 | 6 | transformers | [
"transformers",
"safetensors",
"llama-factory",
"full",
"generated_from_trainer",
"text-classification",
"arxiv:2501.18492",
"base_model:meta-llama/Llama-3.1-8B",
"base_model:finetune:meta-llama/Llama-3.1-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-01-30T17:23:31Z | # GuardReasoner 8B
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) via R-SFT and HS-DPO.
This model 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... | [] |
lightonai/LateOn-Code-edge | lightonai | 2026-02-12T13:38:12Z | 2,954 | 23 | PyLate | [
"PyLate",
"onnx",
"safetensors",
"modernbert",
"ColBERT",
"sentence-transformers",
"sentence-similarity",
"feature-extraction",
"generated_from_trainer",
"dataset_size:2117771",
"loss:Contrastive",
"code",
"embeddings",
"retrieval",
"code search",
"en",
"dataset:lightonai/nv-embed-su... | sentence-similarity | 2026-02-05T16:29:16Z | <img src="https://cdn-uploads.huggingface.co/production/uploads/609bbe2f4932693ca2009d6a/BWfClY8hoQIS_Qf9rVa__.png" width="700" height="auto">
# LateOn-Code
The [LateOn-Code collection](https://huggingface.co/collections/lightonai/lateon-code) is composed of [PyLate](https://github.com/lightonai/pylate) models optimi... | [
{
"start": 146,
"end": 157,
"text": "LateOn-Code",
"label": "benchmark name",
"score": 0.7660468220710754
},
{
"start": 164,
"end": 175,
"text": "LateOn-Code",
"label": "benchmark name",
"score": 0.8022943139076233
},
{
"start": 787,
"end": 798,
"text": "L... |
lmstudio-community/Qwen3-VL-32B-Instruct-MLX-4bit | lmstudio-community | 2025-10-28T14:00:51Z | 798 | 1 | transformers | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"mlx",
"conversational",
"base_model:Qwen/Qwen3-VL-32B-Instruct",
"base_model:quantized:Qwen/Qwen3-VL-32B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"region:us"
] | image-text-to-text | 2025-10-21T16:24:21Z | ## 💫 Community Model> Qwen3-VL-32B-Instruct by Qwen
_👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)_.
**Model creator**: [Qwen](https://huggingface.co/Qwen)<br>
**Origina... | [] |
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