Running AI Models Locally

Open-source alternatives to proprietary models like GPT-4

GGUF Format Notes

  • GGUF is the successor to GGML format
  • Supports quantization for efficient inference
  • Works with llama.cpp and compatible GUIs
  • Choose Q4_K_M for optimal balance of quality/speed

GPT-4 Local Limitations

Proprietary Model

GPT-4 is not open-source and cannot be run locally. OpenAI only provides API access.

Deepseek V2.1

Deepseek AI

67B parameter model optimized for coding and reasoning with GGUF quantization.

Best for: Coding & reasoning
ollama pull deepseek-ai/deepseek-llm:67b
ollama run deepseek-llm

Open Source Alternatives

LLaMA 2

Meta

Meta's open-source model available in 7B, 13B, and 70B parameter versions.

Best for: General purpose text
pip install transformers
from transformers import AutoModelForCausalLM

Mistral 7B

Mistral AI

High-quality 7B parameter model that outperforms larger models.

Best for: Efficiency & speed
ollama pull mistral
ollama run mistral

Local Setup Guide

  1. Install Ollama or LM Studio

    Simplest way to run local models with GUI/CLI

    # For Ollama:
    curl -fsSL https://ollama.com/install.sh | sh
  2. Download Model Weights

    Available from Hugging Face or model repositories

  3. Run with GPU Acceleration

    Use CUDA for NVIDIA or Metal for Apple Silicon

    CMAKE_ARGS="-DLLAMA_CUBLAS=on" pip install llama-cpp-python