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KoLLaVA KoVicuna 7B by tabtoyou

 »  All LLMs  »  tabtoyou  »  KoLLaVA KoVicuna 7B   URL Share it on

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  Autotrain compatible   Clip Dataset:tabtoyou/kollava-cc3m-... Dataset:tabtoyou/kollava-instr...   Endpoints compatible   Instruct   Ko   Koalpaca   Kollava   Kovicuna   Llava   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/tabtoyou/KoLLaVA-KoVicuna-7b 

KoLLaVA KoVicuna 7B Benchmarks

LLME Score: 0.11387
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KoLLaVA KoVicuna 7B (tabtoyou/KoLLaVA-KoVicuna-7b)

KoLLaVA KoVicuna 7B Parameters and Internals

Model Type 
multimodal
Additional Notes 
The model combines KoVicuna with a visual encoder from CLIP (ViT-14) and is trained on Korean visual-instruction datasets.
Supported Languages 
ko (Korean)
Training Details 
Data Sources:
tabtoyou/KoLLaVA-Instruct-150k, tabtoyou/KoLLaVA-CC3M-Pretrain-595K
Hardware Used:
Multi-GPU (A100 80G)
Input Output 
Accepted Modalities:
text, image
LLM NameKoLLaVA KoVicuna 7B
Repository 🤗https://huggingface.co/tabtoyou/KoLLaVA-KoVicuna-7b 
Model Size7b
Required VRAM27 GB
Updated2025-01-20
Maintainertabtoyou
Model Typellava
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3   0.0 GB
Supported Languagesko
Model ArchitectureLlavaLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.28.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32003
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than tabtoyou/KoLLaVA-KoVicuna-7b.

Rank the KoLLaVA KoVicuna 7B 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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Release v20241227
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