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Llava V1.5 7B by liuhaotian

 »  All LLMs  »  liuhaotian  »  Llava V1.5 7B   URL Share it on

  1022301   
  Autotrain compatible   Image-text-to-text   Llava   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/liuhaotian/llava-v1.5-7b 

Llava V1.5 7B Benchmarks

LLME Score: 0.26436
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 7B (liuhaotian/llava-v1.5-7b)

Llava V1.5 7B Parameters and Internals

Model Type 
multimodal, chatbot, transformer, auto-regressive
Use Cases 
Primary Use Cases:
Research on large multimodal models and chatbots
Training Details 
Data Sources:
LAION/CC/SBU (558K filtered image-text pairs), 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
Model Architecture:
Transformer
LLM NameLlava V1.5 7B
Repository 🤗https://huggingface.co/liuhaotian/llava-v1.5-7b 
Model Size7b
Required VRAM13.5 GB
Updated2025-03-13
Maintainerliuhaotian
Model Typellava
Model Files  0.0 GB   10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlavaLlamaForCausalLM
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

Quantized Models of the Llava V1.5 7B

Model
Likes
Downloads
VRAM
Llava V1.5 7B GGUF10336190 GB

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Rank the Llava V1.5 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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Release v20241227
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