Ollama

Active
GitHub Go MIT

Description

Local LLM runner: open-source models callable as a single CLI binary.

Key Features

  • One-command run — `ollama run llama3` drops into a chat
  • Model registry — Llama, Mistral, Qwen, Gemma built-in
  • OpenAI compatible — Serves /v1/chat/completions
  • Multimodal — Supports vision models like LLaVA
  • Resource-aware — CPU, Metal, CUDA auto-scheduling

Use Cases

💡 Provide LLM inference backend for local agents.
💡 Run lightweight models in CI for unit tests.
💡 Run open-source models for privacy-sensitive scenarios.

Strengths & Limitations

Strengths

  • Actively maintained, recent updates
  • High community interest (180.0k stars)
  • Permissive open-source license (MIT)
  • Established track record (3 years in production)

Quick Start

# Install
brew install ollama
# Start the service
ollama serve &
# Pull a model and chat
ollama pull llama3
ollama run llama3 'Describe Rust in one sentence'

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exo

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exo is a framework that pools many consumer-grade devices into a distributed LLM inference cluster, turning Macs, PCs and Linux boxes into one GPU pool.

distributedllmcluster +2
  • · Consumer-device cluster — every node is a desktop or laptop, no datacenter GPUs needed
  • · P2P auto-discovery — devices on the same LAN join the cluster automatically
  • · Dynamic partitioning — models are split by layers / tensors across nodes

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