Can I run it?

Can I run Cyber Tiel Coder 35B A3B GGUF MTP on Apple M5 Pro?

Tight fit

Tight fit fully in unified memory on your Apple M5 Pro at Q3_K_M, 8K context, about 23–32 tok/s. Weights 16.1 GB plus 0.19 GB of KV cache — 16.8 GB of 18.0 GB usable. Up to 32K context still fits.

Best quantQ3_K_M est.

Working context8K

Max that fits32K

Speed23–32 tok/sEstimate from memory bandwidth, not a benchmark. Method.

Weights16.1 GB

KV cache0.19 GB

Total16.8 GB

Usable18.0 GB

Cyber Tiel Coder 35B A3B GGUF MTP details · Apple M5 Pro page · How this estimate is made

Run commands

llama.cpp

# Quant size is estimated — the file may not be published yet
llama-server -hf peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP:Q3_K_M -c 8192 -ngl 40

No matching name in the Ollama library snapshot.

LM Studio

# Quant size is estimated — the file may not be published yet
lms get peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP
# Then load quant Q3_K_M

Assumptions

Estimate from memory bandwidth, not a benchmark. Decode speed uses 55–75% of peak bandwidth.
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%.
Q3_K_M size is estimated from parameters × bits-per-weight because a GGUF file size was not available.
Unified memory uses 75% for the GPU by default, and always leaves about 5 GB for the OS.
Speed is quoted at 8K context, not at the maximum context that still fits.

Larger models that also fit

Can I run Qwen3.8 35B A3B Distill on Apple M5 Pro? — Tight fit, Q3_K_M, 23–31 tok/s (estimate)

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