Yi 1.5 34B needs ~50.9 GB VRAM. AMD Instinct MI325X 256GB has 256.0 GB. With Q4_K_M quantization, expect ~229 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
229.3 tok/s
TTFT
844 ms
Safe context
4K
Memory
50.9 GB / 256.0 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 | B | Runs well | 229.3 tok/s | 461 ms | 4K |
| Coding | B | Runs well | 229.3 tok/s | 844 ms | 4K |
| Agentic Coding | B | Runs well | 229.3 tok/s | 1228 ms | 4K |
| Reasoning | B | Runs well | 229.3 tok/s | 998 ms | 4K |
| RAG | B | Runs well | 229.3 tok/s | 1535 ms | 4K |
How Yi 1.5 34B (34B params) fits at each quantization level on AMD Instinct MI325X 256GB (256.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.3 GB | Low | C49 |
Q3_K_S | 3 | 16.7 GB | Low | C49 |
NVFP4 | 4 |
Copy-paste commands to run Yi 1.5 34B on your machine.
Run
lms load Yi-1.5-34B-Chat && lms server startYes, AMD Instinct MI325X 256GB can run Yi 1.5 34B with a B grade (Runs well). Expected decode speed: 229.3 tok/s.
Yi 1.5 34B (34B parameters) requires approximately 50.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Yi 1.5 34B is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI325X 256GB, Yi 1.5 34B achieves approximately 229.3 tokens per second decode speed with a time-to-first-token of 844ms using Q4_K_M quantization.
For coding workloads, Yi 1.5 34B on AMD Instinct MI325X 256GB receives a B grade with 229.3 tok/s and 4K context.
On AMD Instinct MI325X 256GB, Yi 1.5 34B can safely use up to 4K tokens of context. The model's official context limit is 4K, 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/yi-1.5-34b-on-instinct-mi325x-256gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
19.0 GB |
| Medium |
| C49 |
Q4_K_M | 4 | 20.7 GB | Medium | C50 |
Q5_K_M | 5 | 24.5 GB | High | C50 |
Q6_K | 6 | 27.9 GB | High | C50 |
Q8_0 | 8 | 36.4 GB | Very High | C51 |
F16Best for your GPU | 16 | 69.7 GB | Maximum | C54 |