Radeon Pro W7900 48GBGünstige Wahl
48 GB VRAM (+16)
B
Adds memory headroom for longer context windows and future model growth.26.7 tok/s Dekodierung
Adds memory headroom for longer context windows and future model growth.
ca. $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
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 | 26.3 tok/s | 4020 ms | 4K |
| Coding | B | Tight fit | 24.2 tok/s | 8002 ms | 4K |
| Agentic Coding | B | Runs with offload (needs ~0.1 GB host RAM) | 19.5 tok/s | 14449 ms | 4K |
| Reasoning | B | Tight fit | 26.3 tok/s | 8711 ms | 4K |
| RAG | B | Runs with offload (needs ~0.1 GB host RAM) | 19.5 tok/s | 18062 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 | 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 startUpgrade-Optionen
Hardware, die Yi 1.5 34B gut ausführt
Radeon PRO W7900 DS 48GBBestes Preis-Leistungs-Verhältnis
48 GB VRAM (+16)
B
Adds memory headroom for longer context windows and future model growth.26.7 tok/s Dekodierung
Adds memory headroom for longer context windows and future model growth.
ca. $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 Dekodierung
Raises estimated decode speed by about 122%.
Adds memory headroom for longer context windows and future model growth.
ca. $10,000 MSRP
Frequently asked questions
Can AMD Instinct MI60 32GB run Yi 1.5 34B?
Yes, AMD Instinct MI60 32GB can run Yi 1.5 34B with a B grade (Tight fit). Expected decode speed: 24.2 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 AMD Instinct MI60 32GB?
On AMD Instinct MI60 32GB, Yi 1.5 34B achieves approximately 24.2 tokens per second decode speed with a time-to-first-token of 8002ms using Q4_K_M quantization.
Can AMD Instinct MI60 32GB run Yi 1.5 34B for coding?
For coding workloads, Yi 1.5 34B on AMD Instinct MI60 32GB receives a B grade with 24.2 tok/s and 4K context.
What context window can Yi 1.5 34B use on AMD Instinct MI60 32GB?
On AMD Instinct MI60 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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<iframe src="https://willitrunai.com/embed/yi-1.5-34b-on-instinct-mi60-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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