Question 1

What AI models can run on M4 Max (128 GB)?

Accepted Answer

The M4 Max (128 GB) (96 GB VRAM) can run models including Llama-2-7b, Llama-2-7b-chat, NV-Llama2-13B-RLHF-RM, MediPhi-MedWiki, intent-aware-lfqa-qwen3-4b-baseline and more — 10 compatible models indexed so far. Compatible models are determined by whether the model's memory footprint fits within the GPU's 96 GB VRAM, potentially using quantization (Q8, Q6, or Q4) to reduce memory usage.

Question 2

What is the cheapest cloud option for M4 Max (128 GB)?

Accepted Answer

We don't currently have cloud pricing data for the M4 Max (128 GB). This GPU may not be widely available from major cloud providers, or pricing data hasn't been synced yet.

Question 3

Is M4 Max (128 GB) good for fine-tuning?

Accepted Answer

Yes, the M4 Max (128 GB) is excellent for fine-tuning. With 96 GB of VRAM, it can handle full fine-tuning of models up to ~30B parameters and LoRA/QLoRA fine-tuning of much larger models. It's a top-tier choice for training workloads.

Question 4

How much VRAM does M4 Max (128 GB) have?

Accepted Answer

The M4 Max (128 GB) has 96 GB of VRAM (LPDDR5X). It also offers 546 GB/s memory bandwidth, 33.8 TFLOPS of FP16 compute.

Question 5

What quantization formats work on M4 Max (128 GB)?

Accepted Answer

The M4 Max (128 GB) supports the following quantization formats: FP16 (full precision), Q8 (8-bit), Q6 (6-bit), Q4 (4-bit). FP16 works for models up to ~40B parameters. Q4 quantization lets models up to ~326B parameters (by VRAM estimate) fit on the M4 Max (128 GB).

M4 Max (128 GB)

Specifications

Cloud pricing

Compatible models

Compare this GPU

Frequently asked questions

VRAM	96 GB
Memory type	LPDDR5X
Bandwidth	546 GB/s
FP16 TFLOPS	33.8
FP8 support	No