Llava Jp Karasu 1.1B V1.0 620K 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 Karasu 1.1B V1.0 620K 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 Karasu 1.1B V1.0 620K (toshi456/llava-jp-karasu-1.1b-v1.0-620k)

Llava Jp Karasu 1.1B V1.0 620K Parameters and Internals

Model Type 
vision-language, image-captioning, VQA
Use Cases 
Areas:
Research, Vision-Language Applications
Applications:
Image Captioning, Visual Question Answering
Supported Languages 
ja (fluent)
Training Details 
Data Sources:
LLaVA-Pretrain-JA, LLaVA-v1.5-Instruct-620K-JA
Model Architecture:
Vision-Language using vision projector
Input Output 
Input Format:
text and images
Accepted Modalities:
image, text
Output Format:
text
LLM NameLlava Jp Karasu 1.1B V1.0 620K
Repository ๐Ÿค—https://huggingface.co/toshi456/llava-jp-karasu-1.1b-v1.0-620k 
Model Size1.1b
Required VRAM5.3 GB
Updated2025-02-22
Maintainertoshi456
Model Typellava-jp
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   0.3 GB: 2-of-2
Supported Languagesja
Model ArchitectureLlavaLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length2048
Model Max Length2048
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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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