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LVIS Instruct4V LLaVA Instruct Mix880k 7B by X2FD

 »  All LLMs  »  X2FD  »  LVIS Instruct4V LLaVA Instruct Mix880k 7B   URL Share it on

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  Autotrain compatible   Endpoints compatible   Instruct   Llava   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/X2FD/LVIS-Instruct4V-LLaVA-Instruct-mix880k-7b 

LVIS Instruct4V LLaVA Instruct Mix880k 7B Benchmarks

LLME Score: 0.15172
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LVIS Instruct4V LLaVA Instruct Mix880k 7B (X2FD/LVIS-Instruct4V-LLaVA-Instruct-mix880k-7b)

LVIS Instruct4V LLaVA Instruct Mix880k 7B Parameters and Internals

LLM NameLVIS Instruct4V LLaVA Instruct Mix880k 7B
Repository 🤗https://huggingface.co/X2FD/LVIS-Instruct4V-LLaVA-Instruct-mix880k-7b 
Model Size7b
Required VRAM14.2 GB
Updated2024-12-26
MaintainerX2FD
Model Typellava
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   4.2 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 Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than X2FD/LVIS-Instruct4V-LLaVA-Instruct-mix880k-7b.

Rank the LVIS Instruct4V LLaVA Instruct Mix880k 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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