aya expanse 32b heretic MPOA i1 needs ~32.5 GB VRAM. NVIDIA H100 80GB has 80.0 GB. With Q4_K_M quantization, expect ~144 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
144.2 tok/s
TTFT
1343 ms
Safe context
219K
Memory
32.5 GB / 80.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 144.2 tok/s | 733 ms | 219K |
| Coding | C | Runs well | 144.2 tok/s | 1343 ms | 219K |
| Agentic Coding | C | Runs well | 144.2 tok/s | 1953 ms | 219K |
| Reasoning | C | Runs well | 144.2 tok/s | 1587 ms | 219K |
| RAG | C | Runs well | 144.2 tok/s | 2442 ms | 219K |
How aya expanse 32b heretic MPOA i1 (32B params) fits at each quantization level on NVIDIA H100 80GB (80.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | C40 |
Q3_K_S | 3 | 15.7 GB | Low | C41 |
NVFP4 | 4 |
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 startYes, NVIDIA H100 80GB can run aya expanse 32b heretic MPOA i1 with a C grade (Runs well). Expected decode speed: 144.2 tok/s.
aya expanse 32b heretic MPOA i1 (32B parameters) requires approximately 32.5 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 NVIDIA H100 80GB, aya expanse 32b heretic MPOA i1 achieves approximately 144.2 tokens per second decode speed with a time-to-first-token of 1343ms using Q4_K_M quantization.
For coding workloads, aya expanse 32b heretic MPOA i1 on NVIDIA H100 80GB receives a C grade with 144.2 tok/s and 219K context.
On NVIDIA H100 80GB, aya expanse 32b heretic MPOA i1 can safely use up to 219K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/hf-mradermacher--aya-expanse-32b-heretic-mpoa-i1-gguf-on-h100-80gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
17.9 GB |
| Medium |
| C41 |
Q4_K_M | 4 | 19.5 GB | Medium | C41 |
Q5_K_M | 5 | 23.0 GB | High | C42 |
Q6_K | 6 | 26.2 GB | High | C43 |
Q8_0 | 8 | 34.2 GB | Very High | C45 |
F16Best for your GPU | 16 | 65.6 GB | Maximum | C48 |