Question 1

Can I run Mistral Small 3.1 24B on a NVIDIA GeForce RTX 5080?

Accepted Answer

Yes — NVIDIA GeForce RTX 5080 runs Mistral Small 3.1 24B fully on GPU at the Q4_K_M quantization. Full GPU inference — 16 GB VRAM meets the 16 GB recommendation.

Question 2

What quantization of Mistral Small 3.1 24B should I use on a NVIDIA GeForce RTX 5080?

Accepted Answer

For 16 GB VRAM on the NVIDIA GeForce RTX 5080, the Q4_K_M variant is the best fit. Estimated ~61 tokens/sec on the Q4_K_M quantization.

Question 3

How fast does Mistral Small 3.1 24B run on NVIDIA GeForce RTX 5080?

Accepted Answer

Roughly 61 tokens/sec for Q4_K_M. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if NVIDIA GeForce RTX 5080 is not enough for Mistral Small 3.1 24B?

Accepted Answer

Try a smaller quantization variant or run on CPU + RAM with the trade-off of slower generation.

Quantization	File Size	Min VRAM	Rec VRAM	Context	Verdict	Estimated tok/s
Q4_K_MBest fit	12.6 GB	14 GB	16 GB	8K / 128K	Full GPU	~61
FP16	45.6 GB	48 GB	54 GB	8K / 128K	Hybrid CPU+GPU	~7

Can I Run Mistral Small 3.1 24B on NVIDIA GeForce RTX 5080?

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Every Mistral Small 3.1 24B quantization on NVIDIA GeForce RTX 5080