KoLLaVA V1.5 Synatra 7B by tabtoyou

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  Autotrain compatible   Clip   Conversational   Endpoints compatible   Ko   Kollava   Llava   Pytorch   Region:us   Sharded   Synatra

KoLLaVA V1.5 Synatra 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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KoLLaVA V1.5 Synatra 7B Parameters and Internals

Model Type 
multimodal
Additional Notes 
KoLLaVA combines the LLM Synatra with CLIP visual encoder and trained on a specific Korean visual-instruction dataset.
Supported Languages 
ko (Korean)
LLM NameKoLLaVA V1.5 Synatra 7B
Repository ๐Ÿค—https://huggingface.co/tabtoyou/KoLLaVA-v1.5-Synatra-7b 
Model Size7b
Required VRAM15.1 GB
Updated2024-12-04
Maintainertabtoyou
Model Typellava
Model Files  9.9 GB: 1-of-2   5.2 GB: 2-of-2   0.0 GB
Supported Languagesko
Model ArchitectureLlavaLlamaForCausalLM
Licensecc-by-sa-4.0
Context Length32768
Model Max Length32768
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token<|im_end|>
Unk Token<unk>
Vocabulary Size32002
Torch Data Typebfloat16
KoLLaVA V1.5 Synatra 7B (tabtoyou/KoLLaVA-v1.5-Synatra-7b)

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Note: green Score (e.g. "73.2") means that the model is better than tabtoyou/KoLLaVA-v1.5-Synatra-7b.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124