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Llava CoS 13B by Zuyan

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  Autotrain compatible   Endpoints compatible   Llava   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Zuyan/llava-CoS-13B 

Llava CoS 13B Benchmarks

LLME Score: 0.21774
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava CoS 13B (Zuyan/llava-CoS-13B)

Llava CoS 13B Parameters and Internals

Model Type 
Vision-Language Model
Additional Notes 
Chain-of-Spot encourages Large Vision-Language Models to identify the region of interest (ROI) in the image condition on the question and reasoning through an interactive manner, thereby improving the ability of visual understanding.
LLM NameLlava CoS 13B
Repository 🤗https://huggingface.co/Zuyan/llava-CoS-13B 
Model Size13b
Required VRAM26.6 GB
Updated2025-02-04
MaintainerZuyan
Model Typellava
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.8 GB: 3-of-3   0.0 GB
Model ArchitectureLlavaLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Zuyan/llava-CoS-13B.

Rank the Llava CoS 13B 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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