Phi 3.5 Mini Investigator 16B by dbands

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Phi 3.5 Mini Investigator 16B Benchmarks

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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Phi 3.5 Mini Investigator 16B Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
Finetuned with dbands/Phi-3.5-mini-investigator_16B.
Training Details 
Methodology:
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NamePhi 3.5 Mini Investigator 16B
Repository ๐Ÿค—https://huggingface.co/dbands/Phi-3.5-mini-investigator_16B 
Base Model(s)  dbands/Phi-3.5-mini-investigator_16B   dbands/Phi-3.5-mini-investigator_16B
Model Size16b
Required VRAM7.6 GB
Updated2024-12-02
Maintainerdbands
Model Typellama
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typebfloat16
Phi 3.5 Mini Investigator 16B (dbands/Phi-3.5-mini-investigator_16B)

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Note: green Score (e.g. "73.2") means that the model is better than dbands/Phi-3.5-mini-investigator_16B.

Rank the Phi 3.5 Mini Investigator 16B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124