A user explored running various AI coding models locally on a MacBook Pro equipped with 128GB of unified memory. They found that while models like Llama 3, Code Llama, DeepSeek Coder, and Phi 3 could be run, performance varied significantly. Tools like Ollama and LM Studio were used to manage these local models, with the user ultimately finding success with a specific configuration. AI
IMPACT Demonstrates the feasibility and performance limitations of running large coding models on high-end consumer laptops.
RANK_REASON User experience report on running AI models locally on consumer hardware.
Read on Medium — AI coding tag →
- Apple Inc.
- Apple M2 Max
- Code Llama
- DeepSeek Coder
- GPT-4
- Llama 3
- LM Studio
- MacBook Pro
- mistral.ai
- Ollama
- Phi 3
- unified memory
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →