# Context Sizing Budgets on 16GB VRAM > Source-anchored research for Context Sizing Budgets on 16GB VRAM. Run status: COMPLETED. Parent: [16 GB VRAM residency budgeting](https://llms-explorer.com/tree/16-gb-vram-residency-budgeting/) · 1 facets · 2 facts · page: https://llms-explorer.com/tree/context-sizing-budgets-on-16gb-vram/ ## Measurements and reference values - On an RTX 5080 with 16 GB GDDR7 VRAM, a 14B Q4 model reserves ~7.62 GB for weights, leaving ~8.38 GB for KV cache, which comfortably accommodates 16,384 tokens with standard FP16 KV cache or 32,768 tokens with FP8 KV cache. (high confidence) — [source](https://github.com/vllm-project/vllm) - For 7B/8B models at 4-bit precision (~4.5 GB weights), remaining VRAM exceeds 11.5 GB, allowing context windows to expand up to 65,536 tokens without host offloading. (high confidence) — [source](https://github.com/vllm-project/vllm)