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NanoLLaVA by Xenova

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NanoLLaVA is an open-source language model by Xenova. Features: LLM, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.14.

  Base model:qnguyen3/nanollava Base model:quantized:qnguyen3/...   Conversational   Custom code   En   Image-text-to-text   Llava   Multimodal   Onnx   Qwen   Region:us   Transformers.js
Model Card on HF 🤗: https://huggingface.co/Xenova/nanoLLaVA 

NanoLLaVA Benchmarks

LLME Score: 0.13556
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NanoLLaVA (Xenova/nanoLLaVA)
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NanoLLaVA Parameters and Internals

Model Type 
multimodal, image-text-to-text
Additional Notes 
nanoLLaVA support is experimental and requires installation of Transformers.js v3 from source. Also, conversion to ONNX is recommended for web-readiness.
Supported Languages 
en (primary)
Input Output 
Accepted Modalities:
text, image
LLM NameNanoLLaVA
Repository 🤗https://huggingface.co/Xenova/nanoLLaVA 
Base Model(s)  NanoLLaVA   qnguyen3/nanoLLaVA
Updated2025-09-23
MaintainerXenova
Model Typellava
Supported Languagesen
Model ArchitectureLlavaQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Rank the NanoLLaVA Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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