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 3.1 8B local AI fit guide
Review available GGUF variants, quantization choices, and conservative memory-planning levels for running Llama 3.1 8Blocally.
- Parameters
- 8B
- Size class
- small
- Use cases
- chat, coding, rag
GGUF variants
| Variant | Quantization | Estimated file | Minimum load | Planning memory |
|---|---|---|---|---|
| Llama 3.1 8B · Q4_K_M | Q4_K_M | 4.6 GB | 5.6 GB | 6.6 GB |
| Llama 3.1 8B · Q5_K_M | Q5_K_M | 5.8 GB | 6.8 GB | 7.8 GB |
GPU compatibility
GPUs with a verified memory-fit path for Llama 3.1 8B
These pages compare this model's recorded GGUF variants against the dedicated VRAM of selected NVIDIA GPUs. They are deterministic memory-fit checks, not performance benchmarks.
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.