Raises estimated decode speed by about 31%.
~$2,499 MSRP
Yi 1.5 9B needs ~11.1 GB VRAM. Radeon Pro W6800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~52 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
56.8 tok/s
TTFT
3409 ms
Safe context
4K
Memory
11.1 GB / 32.0 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 | 52.2 tok/s | 2022 ms | 4K |
| Coding | C | Runs well | 52.2 tok/s | 3707 ms | 4K |
| Agentic Coding | C | Runs well | 52.2 tok/s | 5392 ms | 4K |
| Reasoning | C | Runs well | 52.2 tok/s | 4381 ms | 4K |
| RAG | C | Runs well | 52.2 tok/s | 6740 ms | 4K |
How Yi 1.5 9B (9B params) fits at each quantization level on Radeon Pro W6800 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | C48 |
Q3_K_S | 3 | 4.4 GB | Low | C48 |
NVFP4 | 4 |
Copy-paste commands to run Yi 1.5 9B on your machine.
Run
lms load Yi-1.5-9B-Chat && lms server startUpgrade options
Raises estimated decode speed by about 31%.
~$2,499 MSRP
~$2,499 MSRP
Yes, Radeon Pro W6800 32GB can run Yi 1.5 9B with a C grade (Runs well). Expected decode speed: 52.2 tok/s.
Yi 1.5 9B (9B parameters) requires approximately 11.1 GB of memory with Q4_K_M quantization.
The recommended quantization for Yi 1.5 9B is Q4_K_M, which balances quality and memory efficiency.
On Radeon Pro W6800 32GB, Yi 1.5 9B achieves approximately 52.2 tokens per second decode speed with a time-to-first-token of 3707ms using Q4_K_M quantization.
For coding workloads, Yi 1.5 9B on Radeon Pro W6800 32GB receives a C grade with 52.2 tok/s and 4K context.
On Radeon Pro W6800 32GB, Yi 1.5 9B 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-1.5-9b-on-radeon-pro-w6800-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| Medium |
| C48 |
Q4_K_M | 4 | 5.5 GB | Medium | C48 |
Q5_K_M | 5 | 6.5 GB | High | C49 |
Q6_K | 6 | 7.4 GB | High | C49 |
Q8_0 | 8 | 9.6 GB | Very High | C50 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | C54 |