Will It Run AI

Can Yi 1.5 34B run on NVIDIA B200 180GB?

YES — Runs Great

B60Good
Estimated from fit model

Yi 1.5 34B needs ~43.6 GB VRAM. NVIDIA B200 180GB has 180.0 GB. With Q4_K_M quantization, expect ~324 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: HighStack: BasicBottleneck: Balanced
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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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 43.6 GB, 351.8 tok/s, Runs well
43.6 GB required180.0 GB available
24% VRAM used

Fit status

Runs well

Decode

351.8 tok/s

TTFT

550 ms

Safe context

4K

Memory

43.6 GB / 180.0 GB

Memory breakdown

Weights20.7 GB
KV Cache3.7 GB
Runtime1.2 GB
Headroom18.0 GB

See how fast it feels

See how fast it feelsYi 1.5 34B on NVIDIA B200 180GB
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: 351.8 tok/s decode · 550ms TTFT (warm) · 880 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

WorkloadGradeFitDecodeTTFTContext
ChatBRuns well324.0 tok/s350 ms4K
CodingBRuns well324.0 tok/s598 ms4K
Agentic CodingBRuns well324.0 tok/s869 ms4K
ReasoningBRuns well324.0 tok/s706 ms4K
RAGBRuns well324.0 tok/s1086 ms4K

Quantization options

How Yi 1.5 34B (34B params) fits at each quantization level on NVIDIA B200 180GB (180.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
13.3 GB
LowC50
Q3_K_S
3
16.7 GB
LowC50
NVFP4
4
19.0 GB
MediumC50
Q4_K_M
4
20.7 GB
MediumC50
Q5_K_M
5
24.5 GB
HighC51
Q6_K
6
27.9 GB
HighC51
Q8_0
8
36.4 GB
Very HighC52
F16Best for your GPU
16
69.7 GB
MaximumB56

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

Frequently asked questions

Can NVIDIA B200 180GB run Yi 1.5 34B?

Yes, NVIDIA B200 180GB can run Yi 1.5 34B with a B grade (Runs well). Expected decode speed: 324.0 tok/s.

How much VRAM does Yi 1.5 34B need?

Yi 1.5 34B (34B parameters) requires approximately 43.6 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 NVIDIA B200 180GB?

On NVIDIA B200 180GB, Yi 1.5 34B achieves approximately 324.0 tokens per second decode speed with a time-to-first-token of 598ms using Q4_K_M quantization.

Can NVIDIA B200 180GB run Yi 1.5 34B for coding?

For coding workloads, Yi 1.5 34B on NVIDIA B200 180GB receives a B grade with 324.0 tok/s and 4K context.

What context window can Yi 1.5 34B use on NVIDIA B200 180GB?

On NVIDIA B200 180GB, 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.

See all results for NVIDIA B200 180GBSee all hardware for Yi 1.5 34B
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