Llava Jp 1.3B V1.1 by toshi456

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  Autotrain compatible Dataset:turing-motors/llava-pr... Dataset:turing-motors/llava-v1...   Endpoints compatible   Image-captioning   Image-to-text   Instruct   Ja   Llava-jp   Region:us   Safetensors   Sharded   Tensorflow   Vision   Vqa

Llava Jp 1.3B V1.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava Jp 1.3B V1.1 (toshi456/llava-jp-1.3b-v1.1)

Llava Jp 1.3B V1.1 Parameters and Internals

Model Type 
vision-language, LVLM
Additional Notes 
Supports the input of 768 x 768 high resolution images by scaling_on_scales method.
Supported Languages 
ja (high)
Training Details 
Data Sources:
https://huggingface.co/datasets/turing-motors/LLaVA-Pretrain-JA, https://huggingface.co/datasets/turing-motors/LLaVA-v1.5-Instruct-620K-JA
Context Length:
1532
Model Architecture:
siglip-so400m-patch14-384 as the image encoder and llm-jp/llm-jp-1.3b-v1.0 as the text decoder
Input Output 
Accepted Modalities:
image
LLM NameLlava Jp 1.3B V1.1
Repository ๐Ÿค—https://huggingface.co/toshi456/llava-jp-1.3b-v1.1 
Model Size1.3b
Required VRAM6.6 GB
Updated2025-02-22
Maintainertoshi456
Model Typellava-jp
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.6 GB: 2-of-2
Supported Languagesja
Model ArchitectureLlavaGpt2ForCausalLM
Licensecc-by-nc-4.0
Model Max Length1532
Transformers Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<unk|LLM-jp>
Vocabulary Size50688
Torch Data Typefloat32
Activation Functiongelu

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Rank the Llava Jp 1.3B V1.1 Capabilities

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227