Llava V1.6 Vicuna 7B by liuhaotian

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  Autotrain compatible   Image-text-to-text   Llava   Region:us   Safetensors   Sharded   Tensorflow

Llava V1.6 Vicuna 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llava V1.6 Vicuna 7B Parameters and Internals

Model Type 
multimodal, chatbot, auto-regressive, language model
Use Cases 
Areas:
research on large multimodal models and chatbots
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 LLM on multimodal instruction-following data
Model Architecture:
transformer architecture
LLM NameLlava V1.6 Vicuna 7B
Repository ๐Ÿค—https://huggingface.co/liuhaotian/llava-v1.6-vicuna-7b 
Model Size7b
Required VRAM14.1 GB
Updated2024-12-04
Maintainerliuhaotian
Model Typellava
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.2 GB: 3-of-3   0.0 GB
Model ArchitectureLlavaLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Llava V1.6 Vicuna 7B (liuhaotian/llava-v1.6-vicuna-7b)

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VRAM
Llava V1.6 Vicuna 7B GGUF225300 GB

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Note: green Score (e.g. "73.2") means that the model is better than liuhaotian/llava-v1.6-vicuna-7b.

Rank the Llava V1.6 Vicuna 7B 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 v20241124