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Phi 2 Electrical Engineering GGUF by TheBloke

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Phi 2 Electrical Engineering GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 1.1GB, License: other, Quantized, LLM Explorer Score: 0.13.

Base model:quantized:stem-ai-m... Base model:stem-ai-mtl/phi-2-e... Dataset:garage-baind/open-plat... Dataset:stem-ai-mtl/electrical...   Electrical engineering   En   Gguf   Microsoft   Phi-2   Phi-msft   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/phi-2-electrical-engineering-GGUF 

Phi 2 Electrical Engineering GGUF Benchmarks

LLME Score: 0.12682
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 GGUF (TheBloke/phi-2-electrical-engineering-GGUF)
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Phi 2 Electrical Engineering GGUF Parameters and Internals

Model Type 
Q&A, code generation
Additional Notes 
This model was fine-tuned using LoRa technique for electrical engineering Q&A and Python code generation related to KiCad software.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
STEM-AI-mtl/Electrical-engineering, garage-bAInd/Open-Platypus
Methodology:
LoRa fine-tuning
Hardware Used:
48 Gb A40 Nvidia GPU
LLM NamePhi 2 Electrical Engineering GGUF
Repository 🤗https://huggingface.co/TheBloke/phi-2-electrical-engineering-GGUF 
Model NamePhi 2 Electrical Engineering
Model Creatormod
Base Model(s)  Phi 2 Electrical Engineering   STEM-AI-mtl/phi-2-electrical-engineering
Required VRAM1.1 GB
Updated2026-04-26
MaintainerTheBloke
Model Typephi-msft
Model Files  1.1 GB   1.6 GB   1.4 GB   1.2 GB   1.6 GB   1.7 GB   1.6 GB   1.9 GB   2.0 GB   1.9 GB   2.3 GB   3.0 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/phi-2-electrical-engineering-GGUF.

Rank the Phi 2 Electrical Engineering GGUF Capabilities

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