Radeon Pro W7900 48GB经济之选
48 GB VRAM (+16)864 GB/s (+288)
B
Raises estimated decode speed by about 50%.26.7 tok/s 解码
Raises estimated decode speed by about 50%.
Adds memory headroom for longer context windows and future model growth.
~$3,999 MSRP
Can Yi 1.5 34B run on Radeon Pro W7800 32GB?
YES — Tight Fit
B61Good
Estimated from fit model
Yi 1.5 34B needs ~28.5 GB VRAM. Radeon Pro W7800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~18 tok/s.
Runtime: llama.cppCapacity: TightBandwidth: MediumStack: StandardBottleneck: Balanced
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, 17.8 tok/s, Tight fit
28.5 GB required32.0 GB available
89% VRAM used
Fit status
Tight fit
Decode
17.8 tok/s
TTFT
10882 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 Radeon Pro W7800 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: 17.8 tok/s decode · 10.9s TTFT (warm) · 45 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 | 17.8 tok/s | 5936 ms | 4K |
| Coding | B | Tight fit | 17.8 tok/s | 10882 ms | 4K |
| Agentic Coding | B | Runs with offload (needs ~0.1 GB host RAM) | 13.2 tok/s | 21334 ms | 4K |
| Reasoning | B | Tight fit | 17.8 tok/s | 12861 ms | 4K |
| RAG | B | Runs with offload (needs ~0.1 GB host RAM) | 13.2 tok/s | 26667 ms | 4K |
Quantization options
How Yi 1.5 34B (34B params) fits at each quantization level on Radeon Pro W7800 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 | 19.0 GB | Medium | B62 |
Q4_K_M | 4 | 20.7 GB | Medium | B62 |
Q5_K_MBest for your GPU | 5 | 24.5 GB | High | B61 |
Q6_K | 6 | 27.9 GB | High | F0 |
Q8_0 | 8 | 36.4 GB | Very High | F0 |
F16 | 16 | 69.7 GB | Maximum | F0 |
Get started
Copy-paste commands to run Yi 1.5 34B on your machine.
Run
lms load Yi-1.5-34B-Chat && lms server start升级选项
能流畅运行 Yi 1.5 34B 的硬件
Radeon PRO W7900 DS 48GB最佳性价比
48 GB VRAM (+16)864 GB/s (+288)
B
Raises estimated decode speed by about 50%.26.7 tok/s 解码
Raises estimated decode speed by about 50%.
Adds memory headroom for longer context windows and future model growth.
~$3,999 MSRP
AMD Instinct MI210 64GBAMD 升级
64 GB VRAM (+32)1638 GB/s (+1062)
B
Raises estimated decode speed by about 228%.58.3 tok/s 解码
Raises estimated decode speed by about 228%.
Adds memory headroom for longer context windows and future model growth.
~$10,000 MSRP
Frequently asked questions
Can Radeon Pro W7800 32GB run Yi 1.5 34B?
Yes, Radeon Pro W7800 32GB can run Yi 1.5 34B with a B grade (Tight fit). Expected decode speed: 17.8 tok/s.
How much VRAM does Yi 1.5 34B need?
Yi 1.5 34B (34B parameters) requires approximately 28.5 GB of memory with Q4_K_M quantization.
What is the best quantization for Yi 1.5 34B?
The recommended quantization for Yi 1.5 34B is Q4_K_M, which balances quality and memory efficiency.
What speed will Yi 1.5 34B run at on Radeon Pro W7800 32GB?
On Radeon Pro W7800 32GB, Yi 1.5 34B achieves approximately 17.8 tokens per second decode speed with a time-to-first-token of 10882ms using Q4_K_M quantization.
Can Radeon Pro W7800 32GB run Yi 1.5 34B for coding?
For coding workloads, Yi 1.5 34B on Radeon Pro W7800 32GB receives a B grade with 17.8 tok/s and 4K context.
What context window can Yi 1.5 34B use on Radeon Pro W7800 32GB?
On Radeon Pro W7800 32GB, 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.
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