aya expanse 32b heretic MPOA i1 needs ~34.5 GB VRAM. MacBook Pro M2 Max 96GB has 69.1 GB. With Q4_K_M quantization, expect ~12 tok/s.
Operating mode
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
11.9 tok/s
TTFT
16289 ms
Safe context
164K
Memory
34.5 GB / 69.1 GB
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.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 11.9 tok/s | 8885 ms | 164K |
| Coding | C | Runs well | 11.9 tok/s | 16289 ms | 164K |
| Agentic Coding | C | Runs well | 11.9 tok/s | 23693 ms | 164K |
| Reasoning | C | Runs well | 11.9 tok/s | 19251 ms | 164K |
| RAG | C | Runs well | 11.9 tok/s | 29617 ms | 164K |
How aya expanse 32b heretic MPOA i1 (32B params) fits at each quantization level on MacBook Pro M2 Max 96GB (69.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | C41 |
Q3_K_S | 3 | 15.7 GB | Low | C42 |
NVFP4 | 4 | 17.9 GB | Medium | C42 |
Q4_K_M | 4 | 19.5 GB | Medium | C43 |
Q5_K_M | 5 | 23.0 GB | High | C43 |
Q6_K | 6 | 26.2 GB | High | C44 |
Q8_0Best for your GPU | 8 | 34.2 GB | Very High | C46 |
F16 | 16 | 65.6 GB | Maximum | F0 |
Copy-paste commands to run aya expanse 32b heretic MPOA i1 on your machine.
Run
lms load hf-mradermacher--aya-expanse-32b-heretic-mpoa-i1-gguf && lms server startUpgrade-Optionen
Raises estimated decode speed by about 100%.
Adds memory headroom for longer context windows and future model growth.
ca. $3,999 MSRP
Raises estimated decode speed by about 89%.
Adds memory headroom for longer context windows and future model growth.
ca. $3,999 MSRP
Raises estimated decode speed by about 159%.
Adds memory headroom for longer context windows and future model growth.
ca. $4,999 MSRP
Yes, MacBook Pro M2 Max 96GB can run aya expanse 32b heretic MPOA i1 with a C grade (Runs well). Expected decode speed: 11.9 tok/s.
aya expanse 32b heretic MPOA i1 (32B parameters) requires approximately 34.5 GB of memory with Q4_K_M quantization.
The recommended quantization for aya expanse 32b heretic MPOA i1 is Q4_K_M, which balances quality and memory efficiency.
On MacBook Pro M2 Max 96GB, aya expanse 32b heretic MPOA i1 achieves approximately 11.9 tokens per second decode speed with a time-to-first-token of 16289ms using Q4_K_M quantization.
For coding workloads, aya expanse 32b heretic MPOA i1 on MacBook Pro M2 Max 96GB receives a C grade with 11.9 tok/s and 164K context.
On MacBook Pro M2 Max 96GB, aya expanse 32b heretic MPOA i1 can safely use up to 164K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Not always. MacBook Pro M2 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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<iframe src="https://willitrunai.com/embed/hf-mradermacher--aya-expanse-32b-heretic-mpoa-i1-gguf-on-m2-max-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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