ConvLLaVA JP 1.3B 768 by toshi456

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  Arxiv:2405.15738   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

ConvLLaVA JP 1.3B 768 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ConvLLaVA JP 1.3B 768 (toshi456/ConvLLaVA-JP-1.3b-768)

ConvLLaVA JP 1.3B 768 Parameters and Internals

Model Type 
vision-language, image-to-text, VQA, image-captioning
Additional Notes 
ConvLLaVA-JP is trained using the laion/CLIP-convnext_large_d_320.laion2B-s29B-b131K-ft image encoder and llm-jp/llm-jp-1.3b-v1.0 text decoder. Input resolution: 768 x 768.
Supported Languages 
ja (Native)
Training Details 
Data Sources:
LLaVA-Pretrain-JA, LLaVA-v1.5-Instruct-620K-JA
Input Output 
Accepted Modalities:
image
Output Format:
text
LLM NameConvLLaVA JP 1.3B 768
Repository ๐Ÿค—https://huggingface.co/toshi456/ConvLLaVA-JP-1.3b-768 
Model Size1.3b
Required VRAM7.1 GB
Updated2025-02-22
Maintainertoshi456
Model Typellava-jp
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.1 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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ConvLLaVA JP 1.3B 12800K / 7.1 GB191
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Note: green Score (e.g. "73.2") means that the model is better than toshi456/ConvLLaVA-JP-1.3b-768.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227