Can I run it?
Can I run Hy MT2 1.8B on GeForce RTX 5070?
Runs great
Runs great fully on your GeForce RTX 5070 at Q8_0, 8K context, about 151–206 tok/s. Weights 1.78 GB plus 0.50 GB of KV cache — 2.60 GB of 10.9 GB usable. Up to 128K context still fits.
Best quantQ8_0
Working context8K
Max that fits128K
Speed151–206 tok/s
Weights1.78 GB
KV cache0.50 GB
Total2.60 GB
Usable10.9 GB
Hy MT2 1.8B details · GeForce RTX 5070 page · How this estimate is made
Run commands
llama.cpp
llama-server -hf tencent/Hy-MT2-1.8B-GGUF:Q8_0 -c 8192 -ngl 32
No matching name in the Ollama library snapshot.
LM Studio
lms get tencent/Hy-MT2-1.8B-GGUF # 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 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 5070? — Tight fit, UD-Q2_K_XL, 36–49 tok/s
- Can I run gemma 4 12b it on GeForce RTX 5070? — Tight fit, Q6_K, 28–39 tok/s
- Can I run Qwen3.5 9B on GeForce RTX 5070? — Tight fit, Q8_0, 38–51 tok/s
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.