Qwen2.5 14B Instruct › NVIDIA GTX 1050 Ti

Qwen2.5 14B Instruct on the NVIDIA GTX 1050 Ti

Best measured: 1.2 tokens/s generation and 37 tokens/s prompt processing (Q4_K_M, llamafile).

For comparison, our size-scaling estimate for this combination is 8.9 tok/s.

Every run

Quant	Backend	Generate tok/s	Prompt tok/s	Test	Build / by / notes	Source
Q4_K_M	llamafile	1.2	37	LocalScore avg	LocalScore rank 326/418; model file is larger than this card's VRAM, so part of it ran on the CPU/system RAM	LocalScore (localscore.ai)

tg128 = generating 128 tokens; pp512 = reading a 512-token prompt (llama-bench). LocalScore averages several prompt and output lengths, so its numbers run lower than tg128.

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Doesn't fit in this card's VRAM

Part of this model ran on the CPU here. A rented 48-80 GB GPU keeps it all in VRAM.

Rent a bigger GPU on RunPod

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