Can I run it?
Can I run Cyber Tiel Coder 35B A3B GGUF MTP on AMD Ryzen AI Max+ 395?
Runs
Runs fully in unified memory on your AMD Ryzen AI Max+ 395 at Q8_0, 8K context, about 42–57 tok/s. Weights 35.1 GB plus 0.19 GB of KV cache — 36.0 GB of 48.0 GB usable. Up to 256K context still fits.
Best quantQ8_0 est.
Working context8K
Max that fits256K
Speed42–57 tok/s
Weights35.1 GB
KV cache0.19 GB
Total36.0 GB
Usable48.0 GB
Cyber Tiel Coder 35B A3B GGUF MTP details · AMD Ryzen AI Max+ 395 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# Quant size is estimated — the file may not be published yet llama-server -hf peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP:Q8_0 -c 8192 -ngl 40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# Quant size is estimated — the file may not be published yet lms get peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP # Then load quant Q8_0
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%.
- Q8_0 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 AMD Ryzen AI Max+ 395? — Runs, Q8_0, 42–57 tok/s
- Can I run Qwen3 Coder Next on AMD Ryzen AI Max+ 395? — Tight fit, Q4_K_M, 16–21 tok/s
- Can I run Qwen3.5 122B A10B MTP on AMD Ryzen AI Max+ 395? — Tight fit, UD-IQ3_XXS, 35–48 tok/s
Updated 2026-10-24. Profile on this page is the device default.