Llava V1.5 7B Lora by liuhaotian

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  Autotrain compatible   Image-text-to-text   Llava   Lora   Region:us

Llava V1.5 7B Lora Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava V1.5 7B Lora (liuhaotian/llava-v1.5-7b-lora)

Llava V1.5 7B Lora Parameters and Internals

Model Type 
chatbot, multimodal, auto-regressive, transformer
Use Cases 
Areas:
research
Primary Use Cases:
Research on large multimodal models and chatbots.
Training Details 
Data Sources:
LAION/CC/SBU - 558K filtered image-text pairs, captioned by BLIP, GPT-generated multimodal instruction-following data - 158K, Academic-task-oriented VQA data mixture - 450K, ShareGPT data - 40K
Model Architecture:
transformer
LLM NameLlava V1.5 7B Lora
Repository ๐Ÿค—https://huggingface.co/liuhaotian/llava-v1.5-7b-lora 
Model Size7b
Required VRAM0.6 GB
Updated2025-02-22
Maintainerliuhaotian
Model Files  0.6 GB   0.0 GB
Model ArchitectureAutoModelForCausalLM
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|gate_proj|down_proj|v_proj|q_proj|up_proj|k_proj
LoRA Alpha256
LoRA Dropout0.05
R Param128

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

Rank the Llava V1.5 7B Lora 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227