Yi 1.5 34B needs ~38.1 GB VRAM. AMD Instinct MI250 128GB has 128.0 GB. With Q4_K_M quantization, expect ~114 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
113.9 tok/s
TTFT
1700 ms
Safe context
4K
Memory
38.1 GB / 128.0 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 | 113.9 tok/s | 927 ms | 4K |
| Coding | B | Runs well | 113.9 tok/s | 1700 ms | 4K |
| Agentic Coding | B | Runs well | 113.9 tok/s | 2472 ms | 4K |
| Reasoning | B | Runs well | 113.9 tok/s | 2009 ms | 4K |
| RAG | B | Runs well | 113.9 tok/s | 3090 ms | 4K |
How Yi 1.5 34B (34B params) fits at each quantization level on AMD Instinct MI250 128GB (128.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.3 GB | Low | C51 |
Q3_K_S | 3 | 16.7 GB | Low | C51 |
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 MI250 128GB can run Yi 1.5 34B with a B grade (Runs well). Expected decode speed: 113.9 tok/s.
Yi 1.5 34B (34B parameters) requires approximately 38.1 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 MI250 128GB, Yi 1.5 34B achieves approximately 113.9 tokens per second decode speed with a time-to-first-token of 1700ms using Q4_K_M quantization.
For coding workloads, Yi 1.5 34B on AMD Instinct MI250 128GB receives a B grade with 113.9 tok/s and 4K context.
On AMD Instinct MI250 128GB, 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-mi250-128gb" 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 |
| C52 |
Q4_K_M | 4 | 20.7 GB | Medium | C52 |
Q5_K_M | 5 | 24.5 GB | High | C52 |
Q6_K | 6 | 27.9 GB | High | C53 |
Q8_0 | 8 | 36.4 GB | Very High | C54 |
F16Best for your GPU | 16 | 69.7 GB | Maximum | B60 |