RTX A6000 48GBOpção econômica48 GB VRAM (+16)
B
Adds memory headroom for longer context windows and future model growth.30.6 tok/s decodificação
Adds memory headroom for longer context windows and future model growth.
~$4,650 MSRP
Can Yi 1.5 34B run on RTX PRO 4500 Blackwell 32GB?
YES — Tight Fit
B64Good
Estimated from fit model
Yi 1.5 34B needs ~28.8 GB VRAM. RTX PRO 4500 Blackwell 32GB has 32.0 GB. With Q4_K_M quantization, expect ~39 tok/s.
Runtime: OllamaCapacity: TightBandwidth: HighStack: BasicBottleneck: 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) — 28.8 GB, 39.4 tok/s, Tight fit
28.8 GB required32.0 GB available
90% VRAM used
Fit status
Tight fit
Decode
39.4 tok/s
TTFT
4914 ms
Safe context
4K
Memory
28.8 GB / 32.0 GB
Memory breakdown
Weights20.7 GB
KV Cache3.7 GB
Runtime1.2 GB
Headroom3.2 GB
See how fast it feels
See how fast it feelsYi 1.5 34B on RTX PRO 4500 Blackwell 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: 39.4 tok/s decode · 4.9s TTFT (warm) · 99 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 | 39.4 tok/s | 2680 ms | 4K |
| Coding | B | Tight fit | 39.4 tok/s | 4914 ms | 4K |
| Agentic Coding | B | Runs with offload (needs ~0.3 GB host RAM) | 29.3 tok/s | 9625 ms | 4K |
| Reasoning | B | Tight fit | 39.4 tok/s | 5807 ms | 4K |
| RAG | B | Runs with offload (needs ~0.3 GB host RAM) | 29.3 tok/s | 12031 ms | 4K |
Quantization options
How Yi 1.5 34B (34B params) fits at each quantization level on RTX PRO 4500 Blackwell 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 startOpções de upgrade
Hardware que roda bem Yi 1.5 34B
RTX A6000 48GBOpção econômicaRTX PRO 5000 Blackwell 48GBMelhor custo-benefício48 GB VRAM (+16)1344 GB/s (+448)
B
Raises estimated decode speed by about 50%.59.1 tok/s decodificação
Raises estimated decode speed by about 50%.
Adds memory headroom for longer context windows and future model growth.
~$4,999 MSRP
NVIDIA L40 48GBUpgrade NVIDIA48 GB VRAM (+16)
B
Adds memory headroom for longer context windows and future model growth.35.3 tok/s decodificação
Adds memory headroom for longer context windows and future model growth.
~$5,500 MSRP
Frequently asked questions
Can RTX PRO 4500 Blackwell 32GB run Yi 1.5 34B?
Yes, RTX PRO 4500 Blackwell 32GB can run Yi 1.5 34B with a B grade (Tight fit). Expected decode speed: 39.4 tok/s.
How much VRAM does Yi 1.5 34B need?
Yi 1.5 34B (34B parameters) requires approximately 28.8 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 RTX PRO 4500 Blackwell 32GB?
On RTX PRO 4500 Blackwell 32GB, Yi 1.5 34B achieves approximately 39.4 tokens per second decode speed with a time-to-first-token of 4914ms using Q4_K_M quantization.
Can RTX PRO 4500 Blackwell 32GB run Yi 1.5 34B for coding?
For coding workloads, Yi 1.5 34B on RTX PRO 4500 Blackwell 32GB receives a B grade with 39.4 tok/s and 4K context.
What context window can Yi 1.5 34B use on RTX PRO 4500 Blackwell 32GB?
On RTX PRO 4500 Blackwell 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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