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Imp V1.5 3B Phi2 by MILVLG

 »  All LLMs  »  MILVLG  »  Imp V1.5 3B Phi2   URL Share it on

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  Arxiv:2405.12107   Autotrain compatible   Custom code Dataset:liuhaotian/llava-instr... Dataset:liuhaotian/llava-pretr...   Imp   Instruct   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MILVLG/Imp-v1.5-3B-Phi2 

Imp V1.5 3B Phi2 Benchmarks

LLME Score: 0.18757
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Imp V1.5 3B Phi2 (MILVLG/Imp-v1.5-3B-Phi2)

Imp V1.5 3B Phi2 Parameters and Internals

Model Type 
text-generation, multimodal
Additional Notes 
Model achieves lightweight implementation with only 3B parameters while maintaining high performance.
Training Details 
Data Sources:
liuhaotian/LLaVA-Pretrain, liuhaotian/LLaVA-Instruct-150K
Data Volume:
1M mixed dataset
Input Output 
Input Format:
Text instruction similar to LLaVA format
Accepted Modalities:
text, image
Output Format:
Generated text
Performance Tips:
Run on GPUs for optimal performance
LLM NameImp V1.5 3B Phi2
Repository 🤗https://huggingface.co/MILVLG/Imp-v1.5-3B-Phi2 
Model Size3b
Required VRAM6.3 GB
Updated2025-02-22
MaintainerMILVLG
Model Typeimp
Instruction-BasedYes
Model Files  1.0 GB: 1-of-7   1.0 GB: 2-of-7   1.0 GB: 3-of-7   1.0 GB: 4-of-7   1.0 GB: 5-of-7   1.0 GB: 6-of-7   0.3 GB: 7-of-7
Model ArchitectureImpForCausalLM
Licenseapache-2.0
Context Length3072
Model Max Length3072
Transformers Version4.37.0
Tokenizer ClassCodeGenTokenizer
Vocabulary Size51200
Torch Data Typefloat16
Activation Functiongelu_new
Errorsreplace

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Rank the Imp V1.5 3B Phi2 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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