ConvLLaVA Pretrain 768 by ConvLLaVA

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  Arxiv:2405.15738   Autotrain compatible Dataset:freedomintelligence/al...   Dataset:lin-chen/sharegpt4v Dataset:vision-flan/vision-fla...   Endpoints compatible   Llava   Pytorch   Region:us   Sharded   Vision

ConvLLaVA Pretrain 768 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ConvLLaVA Pretrain 768 (ConvLLaVA/ConvLLaVA-pretrain-768)

ConvLLaVA Pretrain 768 Parameters and Internals

Model Type 
auto-regressive language model, transformer, multimodal
Use Cases 
Primary Use Cases:
Research on large multimodal models and chatbots
Training Details 
Data Sources:
1.2M ShareGPT4V-PT caption data, 100K ShareGPT4V caption data, 1.4M ALLaVA caption and instruction data, 186K VFLAN multitask data, 158K GPT-generated multimodal instruction-following data, 500K academic-task-oriented VQA data mixture, 40K ShareGPT data
Methodology:
Fine-tuning LLM on multimodal instruction-following data
Model Architecture:
Transformer
LLM NameConvLLaVA Pretrain 768
Repository ๐Ÿค—https://huggingface.co/ConvLLaVA/ConvLLaVA-pretrain-768 
Required VRAM14.9 GB
Updated2025-02-22
MaintainerConvLLaVA
Model Typellava
Model Files  10.0 GB: 1-of-2   4.9 GB: 2-of-2
Model ArchitectureLlavaLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.33.2
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 ConvLLaVA/ConvLLaVA-pretrain-768.

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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