Llama3 Llava Next 8B by lmms-lab

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Llama3 Llava Next 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 Llava Next 8B (lmms-lab/llama3-llava-next-8b)

Llama3 Llava Next 8B Parameters and Internals

Model Type 
auto-regressive language model, transformer architecture
Use Cases 
Areas:
research
Applications:
large multimodal models and chatbots
Primary Use Cases:
research exploration
Additional Notes 
This project does not impose any additional constraints beyond those stipulated in the original licenses.
Training Details 
Data Sources:
LAION, CC, SBU, BLIP, GPT-generated data, academic-task-oriented VQA data, GPT-4V data, ShareGPT data
Methodology:
fine-tuning on multimodal instruction-following data
Context Length:
8192
Training Time:
~15-20 hours on 2 x 8 NVIDIA A100-SXM4-80GB
Hardware Used:
NVIDIA A100-SXM4-80GB
Model Architecture:
transformer
LLM NameLlama3 Llava Next 8B
Repository ๐Ÿค—https://huggingface.co/lmms-lab/llama3-llava-next-8b 
Model Size8b
Required VRAM16.7 GB
Updated2025-03-19
Maintainerlmms-lab
Model Typellava
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.8 GB: 4-of-4
Model ArchitectureLlavaLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Rank the Llama3 Llava Next 8B 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