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Llava V1.5 7B Mixed by ys-zong

 »  All LLMs  »  ys-zong  »  Llava V1.5 7B Mixed   URL Share it on

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  Arxiv:2402.02207   Autotrain compatible   En   Endpoints compatible   Llava   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/ys-zong/llava-v1.5-7b-Mixed 

Llava V1.5 7B Mixed Benchmarks

LLME Score: 0.14783
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 V1.5 7B Mixed Parameters and Internals

Model Type 
Vision Large Language Model
Additional Notes 
VLGuard provides fine-tuned model weights for improved safety features with minimal resource cost, as suggested by the description mentioning safety fine-tuning at almost no cost.
LLM NameLlava V1.5 7B Mixed
Repository 🤗https://huggingface.co/ys-zong/llava-v1.5-7b-Mixed 
Model Size7b
Required VRAM14.2 GB
Updated2025-06-09
Maintainerys-zong
Model Typellava
Model Files  10.0 GB: 1-of-2   4.2 GB: 2-of-2   0.0 GB
Supported Languagesen
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 Typebfloat16
Llava V1.5 7B Mixed (ys-zong/llava-v1.5-7b-Mixed)

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Note: green Score (e.g. "73.2") means that the model is better than ys-zong/llava-v1.5-7b-Mixed.

Rank the Llava V1.5 7B Mixed 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 v20241124
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