aya expanse 32b heretic MPOA i1 needs ~32.5 GB VRAM. NVIDIA A800 80GB has 80.0 GB. With Q4_K_M quantization, expect ~77 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
77.3 tok/s
TTFT
2504 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 | 77.3 tok/s | 1366 ms | 219K |
| Coding | C | Runs well | 77.3 tok/s | 2504 ms | 219K |
| Agentic Coding | C | Runs well | 77.3 tok/s | 3642 ms | 219K |
| Reasoning | C | Runs well | 77.3 tok/s | 2959 ms | 219K |
| RAG | C | Runs well | 77.3 tok/s | 4552 ms | 219K |
How aya expanse 32b heretic MPOA i1 (32B params) fits at each quantization level on NVIDIA A800 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 A800 80GB can run aya expanse 32b heretic MPOA i1 with a C grade (Runs well). Expected decode speed: 77.3 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 A800 80GB, aya expanse 32b heretic MPOA i1 achieves approximately 77.3 tokens per second decode speed with a time-to-first-token of 2504ms using Q4_K_M quantization.
For coding workloads, aya expanse 32b heretic MPOA i1 on NVIDIA A800 80GB receives a C grade with 77.3 tok/s and 219K context.
On NVIDIA A800 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-a800-80gb" 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 |