Llava V1.6 34B by liuhaotian

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  Conversational   Image-text-to-text   Llava   Region:us   Safetensors   Sharded   Tensorflow

Llava V1.6 34B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava V1.6 34B (liuhaotian/llava-v1.6-34b)

Llava V1.6 34B Parameters and Internals

Model Type 
open-source chatbot, multimodal, auto-regressive language model, transformer architecture
Use Cases 
Primary Use Cases:
research on large multimodal models and chatbots
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
Methodology:
fine-tuning
Model Architecture:
transformer
LLM NameLlava V1.6 34B
Repository ๐Ÿค—https://huggingface.co/liuhaotian/llava-v1.6-34b 
Model Size34b
Required VRAM69.9 GB
Updated2025-02-05
Maintainerliuhaotian
Model Typellava
Model Files  4.8 GB: 1-of-15   4.8 GB: 2-of-15   5.0 GB: 3-of-15   4.8 GB: 4-of-15   4.8 GB: 5-of-15   5.0 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   5.0 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.8 GB: 13-of-15   4.8 GB: 14-of-15   1.9 GB: 15-of-15
Model ArchitectureLlavaLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Rank the Llava V1.6 34B 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