Llava Jp 1.3B V1.0 Siglip So400m Patch14 384 by toshi456

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  Autotrain compatible Dataset:toshi456/llava-cc3m-pr... Dataset:turing-motors/llava-in...   Endpoints compatible   Image-captioning   Image-to-text   Instruct   Ja   Llava-jp   Region:us   Safetensors   Sharded   Tensorflow   Vision   Vqa

Llava Jp 1.3B V1.0 Siglip So400m Patch14 384 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 V1.0 Siglip So400m Patch14 384 (toshi456/llava-jp-1.3b-v1.0-siglip-so400m-patch14-384)

Llava Jp 1.3B V1.0 Siglip So400m Patch14 384 Parameters and Internals

Model Type 
vision-language
Supported Languages 
ja (high)
Training Details 
Data Sources:
LLaVA-CC3M-Pretrain-595K-JA, Japanese STAIR Captions, LLaVA-Instruct-150K-JA, Japanese Visual Genome
Methodology:
Fine-tuned using LLaVA method
Model Architecture:
Uses google/siglip-so400m-patch14-384 as Image Encoder
Input Output 
Input Format:
Image
Accepted Modalities:
image
Output Format:
Text
LLM NameLlava Jp 1.3B V1.0 Siglip So400m Patch14 384
Repository ๐Ÿค—https://huggingface.co/toshi456/llava-jp-1.3b-v1.0-siglip-so400m-patch14-384 
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 Length1024
Transformers Version4.37.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<unk|LLM-jp>
Vocabulary Size50688
Torch Data Typefloat32
Activation Functiongelu

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Note: green Score (e.g. "73.2") means that the model is better than toshi456/llava-jp-1.3b-v1.0-siglip-so400m-patch14-384.

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