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Llava Next 72B by lmms-lab

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  Autotrain compatible   Conversational   Endpoints compatible   Llava   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/lmms-lab/llava-next-72b 

Llava Next 72B Benchmarks

LLME Score: 0.19291
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava Next 72B (lmms-lab/llava-next-72b)

Llava Next 72B Parameters and Internals

Model Type 
open-source chatbot, multimodal instruction-following, auto-regressive language, transformer architecture
Use Cases 
Areas:
research
Limitations:
prohibited for commercial usage
Training Details 
Data Sources:
558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP, 158K GPT-generated multimodal instruction-following data, 500K academic-task-oriented VQA data mixture, 50K GPT-4V data mixture, 40K ShareGPT data, 20K COCO Caption data
Methodology:
fine-tuning LLM on multimodal instruction-following data
Context Length:
32768
Training Time:
30-40 hours on 8 x 8 NVIDIA A100-SXM4-80GB (may vary due to hardware differences)
Hardware Used:
NVIDIA A100-SXM4-80GB
LLM NameLlava Next 72B
Repository 🤗https://huggingface.co/lmms-lab/llava-next-72b 
Model Size72b
Required VRAM145.2 GB
Updated2025-02-22
Maintainerlmms-lab
Model Typellava
Model Files  4.8 GB: 1-of-30   5.0 GB: 2-of-30   5.0 GB: 3-of-30   4.8 GB: 4-of-30   4.8 GB: 5-of-30   4.8 GB: 6-of-30   5.0 GB: 7-of-30   5.0 GB: 8-of-30   4.8 GB: 9-of-30   4.8 GB: 10-of-30   4.8 GB: 11-of-30   5.0 GB: 12-of-30   5.0 GB: 13-of-30   4.8 GB: 14-of-30   4.8 GB: 15-of-30   4.8 GB: 16-of-30   5.0 GB: 17-of-30   5.0 GB: 18-of-30   4.8 GB: 19-of-30   4.8 GB: 20-of-30   4.8 GB: 21-of-30   5.0 GB: 22-of-30   5.0 GB: 23-of-30   4.8 GB: 24-of-30   4.8 GB: 25-of-30   4.8 GB: 26-of-30   5.0 GB: 27-of-30   5.0 GB: 28-of-30   4.8 GB: 29-of-30   3.6 GB: 30-of-30   0.0 GB
Model ArchitectureLlavaQwenForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Rank the Llava Next 72B 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
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