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Llava Lcs558k Scienceqa Vicuna 13B V1.3 by liuhaotian

 »  All LLMs  »  liuhaotian  »  Llava Lcs558k Scienceqa Vicuna 13B V1.3   URL Share it on

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  Autotrain compatible   Llava   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/liuhaotian/llava-lcs558k-scienceqa-vicuna-13b-v1.3 

Llava Lcs558k Scienceqa Vicuna 13B V1.3 Benchmarks

LLME Score: 0.10549
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava Lcs558k Scienceqa Vicuna 13B V1.3 (liuhaotian/llava-lcs558k-scienceqa-vicuna-13b-v1.3)
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Llava Lcs558k Scienceqa Vicuna 13B V1.3 Parameters and Internals

Model Type 
auto-regressive, transformer, multimodal
Use Cases 
Areas:
research, chatbots
Primary Use Cases:
large multimodal models research, chatbot development
Training Details 
Data Sources:
LAION, CC, SBU, ScienceQA
Data Volume:
558K image-text pairs
Methodology:
Fine-tuning on GPT-generated multimodal instruction-following data
Model Architecture:
transformer
LLM NameLlava Lcs558k Scienceqa Vicuna 13B V1.3
Repository 🤗https://huggingface.co/liuhaotian/llava-lcs558k-scienceqa-vicuna-13b-v1.3 
Model Size13b
Required VRAM26 GB
Updated2025-09-17
Maintainerliuhaotian
Model Typellava
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3   0.0 GB
Model ArchitectureLlavaLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than liuhaotian/llava-lcs558k-scienceqa-vicuna-13b-v1.3.

Rank the Llava Lcs558k Scienceqa Vicuna 13B V1.3 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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