Can I run it?
Can I run granite 4.2 8b on GeForce RTX 3080 10GB?
Tight fit
Tight fit fully on your GeForce RTX 3080 10GB at Q6_K, 8K context, about 49–67 tok/s. Weights 6.72 GB plus 1.25 GB of KV cache — 8.34 GB of 9.03 GB usable.
Best quantQ6_K
Working context8K
Max that fits8K
Speed49–67 tok/s
Weights6.72 GB
KV cache1.25 GB
Total8.34 GB
Usable9.03 GB
granite 4.2 8b details · GeForce RTX 3080 10GB page · How this estimate is made
Run commands
llama.cpp
llama-server -hf ibm-granite/granite-4.2-8b-GGUF:Q6_K -c 8192 -ngl 40
No matching name in the Ollama library snapshot.
LM Studio
lms get ibm-granite/granite-4.2-8b-GGUF # Then load quant Q6_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%.
- Q6_K size is the real GGUF file size from Hugging Face.
- 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 27B on GeForce RTX 3080 10GB? — Tight fit, UD-IQ2_S, 47–64 tok/s
- Can I run gemma 4 12b it on GeForce RTX 3080 10GB? — Tight fit, Q5_K_M, 42–57 tok/s
- Can I run Qwen3.5 9B on GeForce RTX 3080 10GB? — Tight fit, UD-Q6_K_XL, 46–63 tok/s
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.