Can WizardMath 7B run on MacBook Pro M4 Max 96GB?
YES — Runs Great
WizardMath 7B needs ~17.5 GB VRAM. MacBook Pro M4 Max 96GB has 69.1 GB. With Q4_K_M quantization, expect ~94 tok/s.
Operating mode
Choose the run profile you care about
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
94.4 tok/s
TTFT
2051 ms
Safe context
4K
Memory
17.5 GB / 69.1 GB
Memory breakdown
See how fast it feels
What limits this setup
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 94.4 tok/s | 1119 ms | 4K |
| Coding | B | Runs well | 94.4 tok/s | 2051 ms | 4K |
| Agentic Coding | B | Runs well | 94.4 tok/s | 2983 ms | 4K |
| Reasoning | B | Runs well | 94.4 tok/s | 2424 ms | 4K |
| RAG | B | Runs well | 94.4 tok/s | 3729 ms | 4K |
Quantization options
How WizardMath 7B (7B params) fits at each quantization level on MacBook Pro M4 Max 96GB (69.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B61 |
Q3_K_S | 3 | 3.4 GB | Low | B61 |
NVFP4 | 4 | 3.9 GB | Medium | B61 |
Q4_K_M | 4 | 4.3 GB | Medium | B61 |
Q5_K_M | 5 | 5.0 GB | High | B61 |
Q6_K | 6 | 5.7 GB | High | B61 |
Q8_0 | 8 | 7.5 GB | Very High | B61 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | B62 |
Get started
Copy-paste commands to run WizardMath 7B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "WizardLMTeam/WizardMath-7B-V1.1" \
--hf-file "WizardMath-7B-V1.1-Q4_K_M.gguf" \
-c 4096 -ngl 99Frequently asked questions
Can MacBook Pro M4 Max 96GB run WizardMath 7B?
Yes, MacBook Pro M4 Max 96GB can run WizardMath 7B with a B grade (Runs well). Expected decode speed: 94.4 tok/s.
How much VRAM does WizardMath 7B need?
WizardMath 7B (7B parameters) requires approximately 17.5 GB of memory with Q4_K_M quantization.
What is the best quantization for WizardMath 7B?
The recommended quantization for WizardMath 7B is Q4_K_M, which balances quality and memory efficiency.
What speed will WizardMath 7B run at on MacBook Pro M4 Max 96GB?
On MacBook Pro M4 Max 96GB, WizardMath 7B achieves approximately 94.4 tokens per second decode speed with a time-to-first-token of 2051ms using Q4_K_M quantization.
Can MacBook Pro M4 Max 96GB run WizardMath 7B for coding?
For coding workloads, WizardMath 7B on MacBook Pro M4 Max 96GB receives a B grade with 94.4 tok/s and 4K context.
What context window can WizardMath 7B use on MacBook Pro M4 Max 96GB?
On MacBook Pro M4 Max 96GB, WizardMath 7B can safely use up to 4K tokens of context. The model's official context limit is 4K, but available memory constrains the safe maximum.
Is unified memory on MacBook Pro M4 Max 96GB as fast as VRAM for WizardMath 7B?
Not always. MacBook Pro M4 Max 96GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.
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