● FitLLM — fit receipt · 8-bit · 8K tokens ctx · KV F16 · engine 2.8.1

Qwen 3.8 27B on Mac 32GB

WON'T FIT ✗

weights	KV cache	linear state	overhead	reserve	total	short by
25.9 GB	0.5 GB	0.1 GB	3.4 GB	8.5 GB	38.4 / 32 GB	6.4 GB

→ Quantize to 4-bit and it fits (small quality cost).

Replay: npx fitllm-engine "Qwen 3.8 27B" --mac 32 · JSON · interactive

— embed: ![fits](https://img.shields.io/endpoint?url=https%3A%2F%2Ffitllm.run%2Fapi%2Fbadge%3Fmodel%3DQwen%2B3.8%2B27B%26ram%3D32%26quant%3D8%26ctx%3D8192%26kv%3D16)

Computed by the open fitllm-engine (MIT) from official config.json values — estimates; runtime varies. Ran it for real? Challenge this prediction — measured reports calibrate the engine for everyone.