Dedicated GPU memory guides
These Windows/NVIDIA guide pages use dedicated GPU memory as the primary fit budget and keep partial offload separate from a full GPU fit.
Meta · Llama
Llama 3.3 70B local AI fit guide
Review available GGUF variants, quantization choices, and conservative memory-planning levels for running Llama 3.3 70Blocally.
- Parameters
- 70B
- Size class
- very-large
- Use cases
- chat, reasoning
GGUF variants
| Variant | Quantization | Estimated file | Minimum load | Planning memory |
|---|---|---|---|---|
| Llama 3.3 70B · Q4_K_M | Q4_K_M | 40.6 GB | 46.7 GB | 54.8 GB |
Apple Silicon unified-memory guides
Apple Silicon pages use conservative unified-memory budgets and Metal-capable local inference terminology instead of treating the Mac as a CUDA workstation.
Fit caveats
These are deterministic memory-planning checks, not benchmark claims. Context length, runtime settings, offload behavior, and concurrent apps can change practical fit.