Llava V1.5 13B EXL2 by AzureBlack

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  Autotrain compatible   Exl2   Llava   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Llava V1.5 13B EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava V1.5 13B EXL2 (AzureBlack/llava-v1.5-13b-exl2)

Llava V1.5 13B EXL2 Parameters and Internals

Model Type 
multimodal, chatbot
Use Cases 
Areas:
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, 450K academic-task-oriented VQA data mixture, 40K ShareGPT data
Methodology:
Fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data.
Training Time:
September 2023
Model Architecture:
Transformer
LLM NameLlava V1.5 13B EXL2
Repository ๐Ÿค—https://huggingface.co/AzureBlack/llava-v1.5-13b-exl2 
Model Size13b
Required VRAM13.2 GB
Updated2025-02-05
MaintainerAzureBlack
Model Typellava
Model Files  8.6 GB: 1-of-2   4.6 GB: 2-of-2
Quantization Typeexl2
Model ArchitectureLlavaLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than AzureBlack/llava-v1.5-13b-exl2.

Rank the Llava V1.5 13B EXL2 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