Can the MacBook Pro 16" M4 Max run OTel-2.0-LLM-31B-IT-QLoRA?

Yes. OTel-2.0-LLM-31B-IT-QLoRA fits the MacBook Pro 16" M4 Max's 48 GB at Q4_K_M (about 19.8 GB needed), running at an estimated 17 tok/s. There's room for up to Q8_0 if you want higher quality.

Memory
48 GB
Needs at Q4
19.8 GB
Headroom
28.2 GB
Speed (Q4_K_M)
~17 tok/s

Every quantization

OTel-2.0-LLM-31B-IT-QLoRA (31.3B) on 48 GB

QuantWeightsNeedsFitEst. speed
Q4_K_M18 GB19.8 GBFits easily~17 tok/s
Q5_K_M22 GB23.8 GBFits easily~14 tok/s
Q8_033 GB34.8 GBFits~9.5 tok/s
FP1663 GB64.8 GBToo big -

Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the MacBook Pro 16" M4 Max's 546 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode)). Long contexts need more memory and run slower.

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Same model, other hardware - and other models on this card

OTel-2.0-LLM-31B-IT-QLoRA on other hardware

Also runs on the MacBook Pro 16" M4 Max

Frequently asked

Quick answers

Can the Apple MacBook Pro 16" M4 Max run OTel-2.0-LLM-31B-IT-QLoRA?

Yes. OTel-2.0-LLM-31B-IT-QLoRA fits the MacBook Pro 16" M4 Max's 48 GB at Q4_K_M (about 19.8 GB needed), running at an estimated 17 tok/s. There's room for up to Q8_0 if you want higher quality.

How much VRAM does OTel-2.0-LLM-31B-IT-QLoRA need?

About 18 GB of weights at Q4_K_M, 33 GB at Q8_0 and 63 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.

How fast is OTel-2.0-LLM-31B-IT-QLoRA on the MacBook Pro 16" M4 Max?

Roughly 17 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the MacBook Pro 16" M4 Max's 546 GB/s memory bandwidth.