Can I run it?

Can I run Kwaipilot KAT Coder V2.5 Dev on Apple M5?

Tight fit

Tight fit fully in unified memory on your Apple M5 at IQ2_S, 4K context, about 40–55 tok/s. Weights 10.3 GB plus 0.11 GB of KV cache — 10.8 GB of 11.0 GB usable.

Best quantIQ2_S

Working context4K

Max that fits4K

Speed40–55 tok/s

Weights10.3 GB

KV cache0.11 GB

Total10.8 GB

Usable11.0 GB

Kwaipilot KAT Coder V2.5 Dev details · Apple M5 page · How this estimate is made

Run commands

llama.cpp

llama-server -hf bartowski/Kwaipilot_KAT-Coder-V2.5-Dev-GGUF:IQ2_S -c 4096 -ngl 40

No matching name in the Ollama library snapshot.

LM Studio

lms get bartowski/Kwaipilot_KAT-Coder-V2.5-Dev-GGUF
# Then load quant IQ2_S

Assumptions

Estimate, not a benchmark. Decode speed uses a memory-bandwidth model at 55–75% of peak.
KV cache is FP16. Engine overhead assumes llama.cpp (0.3 GB + 1% of the weights). Ollama is closer to 0.9 GB + 3%, LM Studio closer to 1 GB + 3%.
IQ2_S size is the real GGUF file size from Hugging Face.
Unified memory uses 75% for the GPU by default, and always leaves about 5 GB for the OS.
Speed is quoted at 4K context, not at the maximum context that still fits.

Larger models that also fit

Can I run Qwen3.6 35B A3B on Apple M5? — Tight fit, UD-IQ2_XXS, 77–104 tok/s
Can I run Qwen3.5 35B A3B on Apple M5? — Tight fit, UD-IQ2_XXS, 77–105 tok/s

Updated 2026-10-24. Profile on this page is the device default.