Radeon Pro W7900 48GBBudget pick
48 GB VRAM (+16)
B
Adds memory headroom for longer context windows and future model growth.26.7 tok/s decode
Adds memory headroom for longer context windows and future model growth.
~$3,999 MSRP
Can Yi 1.5 34B run on AMD Instinct MI60 32GB?
YES — Tight Fit
B62Good
○Estimated from fit model
Yi 1.5 34B needs ~28.5 GB VRAM. AMD Instinct MI60 32GB has 32.0 GB. With Q4_K_M quantization, expect ~24 tok/s.
Runtime: llama.cppCapacity: TightBandwidth: HighStack: StandardBottleneck: Balanced
Share:
Operating mode
Choose the run profile you care about
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
Q4_K_M (Medium quality) — 28.5 GB, 26.3 tok/s, Tight fit
28.5 GB required32.0 GB available
89% VRAM used
Fit status
Tight fit
Decode
26.3 tok/s
TTFT
7371 ms
Safe context
4K
Memory
28.5 GB / 32.0 GB
Memory breakdown
Weights20.7 GB
KV Cache3.7 GB
Runtime0.9 GB
Headroom3.2 GB
See how fast it feels
See how fast it feelsYi 1.5 34B on AMD Instinct MI60 32GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.
Given information:
- Speed = 60 mph (miles per hour)
- Time = 2.5 hours
Formula: Distance = Speed x Time
Calculation:
Distance = 60 mph x 2.5 h
= 150 miles
The train travels 150 miles.
Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.
Breakdown:
- First half: 1.25 hours at 60 mph = 75 miles
- Stop: 20 minutes (no distance)
- Second half: 1.25 hours at 60 mph = 75 miles
Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph
The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 26.3 tok/s decode · 7.4s TTFT (warm) · 66 tok/s prefill
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Tight fit | 24.2 tok/s | 4365 ms | 4K |
| Coding | B | Tight fit | 24.2 tok/s | 8002 ms | 4K |
| Agentic Coding | B | Runs with offload | 18.0 tok/s | 15688 ms | 4K |
| Reasoning | B | Tight fit | 24.2 tok/s | 9457 ms | 4K |
| RAG | B | Runs with offload | 18.0 tok/s | 19610 ms | 4K |
Quantization options
How Yi 1.5 34B (34B params) fits at each quantization level on AMD Instinct MI60 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.3 GB | Low | B61 |
Q3_K_S | 3 | 16.7 GB | Low | B62 |
NVFP4 | 4 |
Get started
Copy-paste commands to run Yi 1.5 34B on your machine.
Run
lms load Yi-1.5-34B-Chat && lms server startUpgrade options
Hardware that runs Yi 1.5 34B well
Radeon PRO W7900 DS 48GBBest value
48 GB VRAM (+16)
B
Adds memory headroom for longer context windows and future model growth.26.7 tok/s decode
Adds memory headroom for longer context windows and future model growth.
~$3,999 MSRP
AMD Instinct MI210 64GBAMD upgrade
64 GB VRAM (+32)1638 GB/s (+614)
B
Raises estimated decode speed by about 122%.58.3 tok/s decode
Raises estimated decode speed by about 122%.
Adds memory headroom for longer context windows and future model growth.
~$10,000 MSRP