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Imp V1.5 3B 196 by MILVLG

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Imp V1.5 3B 196 is an open-source language model by MILVLG. Features: 3b LLM, VRAM: 6.4GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.14.

  Arxiv:2405.12107   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-196 

Imp V1.5 3B 196 Benchmarks

LLME Score: 0.14433
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 196 (MILVLG/Imp-v1.5-3B-196)
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Imp V1.5 3B 196 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model developed with reduced resolution input for improved performance on mobile devices.
Training Details 
Data Sources:
liuhaotian/LLaVA-Pretrain, liuhaotian/LLaVA-Instruct-150K
Methodology:
Reduced resolution of input image from 384 to 196 and retrained model with the same settings.
LLM NameImp V1.5 3B 196
Repository 🤗https://huggingface.co/MILVLG/Imp-v1.5-3B-196 
Model Size3b
Required VRAM6.4 GB
Updated2025-12-12
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   0.4 GB: 7-of-7
Model ArchitectureImpForCausalLM
Licenseapache-2.0
Model Max Length3072
Transformers Version4.31.0
Tokenizer ClassCodeGenTokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size51200
Torch Data Typefloat16
Activation Functiongelu_new
Errorsreplace

Best Alternatives to Imp V1.5 3B 196

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Imp V1.5 3B Phi23K / 6.3 GB81
Imp V1 3B3K / 6.3 GB265201
Note: green Score (e.g. "73.2") means that the model is better than MILVLG/Imp-v1.5-3B-196.

Rank the Imp V1.5 3B 196 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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