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Llava V1.5 7B Hf by shauray

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

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  Autotrain compatible   En   Llama   Llava   Multimodal   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/shauray/Llava-v1.5-7B-hf 

Llava V1.5 7B Hf Benchmarks

LLME Score: 0.12697
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 Hf (shauray/Llava-v1.5-7B-hf)

Llava V1.5 7B Hf Parameters and Internals

Model Type 
Auto-regressive language model, Multimodal chatbot
Use Cases 
Areas:
Research on large multimodal models and chatbots
Primary Use Cases:
Research
Additional Notes 
LLaVA is fine-tuned for multimodal instruction-following tasks.
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 on GPT-generated multimodal instruction-following data
Model Architecture:
Transformer architecture
LLM NameLlava V1.5 7B Hf
Repository 🤗https://huggingface.co/shauray/Llava-v1.5-7B-hf 
Model Size7b
Required VRAM13.5 GB
Updated2025-04-29
Maintainershauray
Model Typellava
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlavaForCausalLM
Model Max Length2048
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>

Best Alternatives to Llava V1.5 7B Hf

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Likes
...rmes 2 Pro BakLLaVA Mistral 7B32K / 15.1 GB215
Llava Llama 2 7B Hf0K / 14.4 GB151
Note: green Score (e.g. "73.2") means that the model is better than shauray/Llava-v1.5-7B-hf.

Rank the Llava V1.5 7B Hf 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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