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Phi 2 Electrical Engineering by STEM-AI-mtl

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  Autotrain compatible   Custom code Dataset:garage-baind/open-plat... Dataset:stem-ai-mtl/electrical...   Electrical engineering   En   Endpoints compatible   Lora   Microsoft   Phi   Phi-2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/STEM-AI-mtl/phi-2-electrical-engineering 

Phi 2 Electrical Engineering Benchmarks

LLME Score: 0.15786
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 2 Electrical Engineering (STEM-AI-mtl/phi-2-electrical-engineering)

Phi 2 Electrical Engineering Parameters and Internals

Model Type 
Q&A, code generation
Use Cases 
Areas:
electrical engineering
Applications:
Q&A related to electrical engineering and Kicad software, creation of Python code for Kicad's scripting console
Supported Languages 
en (native)
Training Details 
Data Sources:
STEM-AI-mtl/Electrical-engineering, garage-bAInd/Open-Platypus
Methodology:
LoRa PEFT
Hardware Used:
48 Gb A40 Nvidia GPU
LLM NamePhi 2 Electrical Engineering
Repository 🤗https://huggingface.co/STEM-AI-mtl/phi-2-electrical-engineering 
Model Size2.8b
Required VRAM5.6 GB
Updated2025-03-22
MaintainerSTEM-AI-mtl
Model Files  0.1 GB   5.0 GB: 1-of-2   0.6 GB: 2-of-2
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseother
Model Max Length2048
Is Biasednone
Tokenizer ClassCodeGenTokenizer
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesfc2|fc1|Wqkv
LoRA Alpha64
LoRA Dropout0.05
R Param32

Quantized Models of the Phi 2 Electrical Engineering

Model
Likes
Downloads
VRAM
... 2 Electrical Engineering GGUF168771 GB
... 2 Electrical Engineering GPTQ7101 GB

Best Alternatives to Phi 2 Electrical Engineering

Best Alternatives
Context / RAM
Downloads
Likes
Zephyr Rag Agent Webgpt0K / 40.1 GB111
Phi Med V10K / 11.1 GB111
Phi2 Sqlcoder0K / 5.6 GB3576
Phi2 Bunny0K / 5.6 GB412
Note: green Score (e.g. "73.2") means that the model is better than STEM-AI-mtl/phi-2-electrical-engineering.

Rank the Phi 2 Electrical Engineering 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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