Can I run it?

Can I run Cyber Tiel Coder 35B A3B GGUF MTP on GeForce RTX 3090?

Tight fit

Tight fit fully on your GeForce RTX 3090 at Q4_K_M, 8K context, about 259–353 tok/s. Weights 20.0 GB plus 0.19 GB of KV cache — 20.7 GB of 22.3 GB usable. Up to 64K context still fits.

Best quantQ4_K_M est.

Working context8K

Max that fits64K

Speed259–353 tok/s

Weights20.0 GB

KV cache0.19 GB

Total20.7 GB

Usable22.3 GB

Cyber Tiel Coder 35B A3B GGUF MTP details · GeForce RTX 3090 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# Quant size is estimated — the file may not be published yet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:Q4_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# Quant size is estimated — the file may not be published yet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 Q4_K_M

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%.
Q4_K_M 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 8K context, not at the maximum context that still fits.

Larger models that also fit

Can I run Qwen3.8 35B A3B Distill on GeForce RTX 3090? — Tight fit, Q4_K_M, 257–351 tok/s
Can I run Qwen3 Coder Next on GeForce RTX 3090? — Tight fit, UD-IQ1_M, 115–157 tok/s

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