Can I run it?

Can I run Cyber Tiel Coder 35B A3B GGUF MTP on Intel Arc A770 16GB?

Tight fit

Tight fit fully on your Intel Arc A770 16GB at Q2_K, 4K context, about 230–313 tok/s. Weights 13.8 GB plus 0.11 GB of KV cache — 14.4 GB of 14.7 GB usable.

Best quantQ2_K est.

Working context4K

Max that fits4K

Speed230–313 tok/s

Weights13.8 GB

KV cache0.11 GB

Total14.4 GB

Usable14.7 GB

Cyber Tiel Coder 35B A3B GGUF MTP details · Intel Arc A770 16GB 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# Quant size is estimated — the file may not be published yet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:Q2_K -c 4096 -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# Quant size is estimated — the file may not be published yet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 Q2_K

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%.
Q2_K size is estimated from parameters × bits-per-weight because a GGUF file size was not available.
0.5 GB is reserved because this GPU also drives a display, then 5% of the rest is left free.
Speed is quoted at 4K context, not at the maximum context that still fits.

Larger models that also fit

Can I run Qwen3.8 35B A3B Distill on Intel Arc A770 16GB? — Tight fit, Q2_K, 230–314 tok/s

Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.