Overview & Capability
Meta's flagship open-weights foundation models powering global open-source AI. Features 128K context, multilingual capabilities, and state-of-the-art coding and math benchmarks.
Key Highlights
- 405B flagship model competing directly with closed frontier models
- Permissive open community license for commercial products
- Supported natively by Ollama, vLLM, Groq, RunPod, and Azure
Robbie's Independent Take
Verified: 2026-10-11
Excellent candidate for local execution with zero cloud lock-in. For 7B-8B parameter models, budget at least 8 GB of unified memory or VRAM (Q4_K_M quantization). For 32B-70B models, aim for 24 GB+ to maintain interactive throughput without CPU offload penalties.
Alternatives & Replaces
- Proprietary closed-source API lock-in