Will It Run AI

Can Yi 1.5 34B run on NVIDIA A100 40GB?

YES — Runs Great

B69Good
Estimated from fit model

Yi 1.5 34B needs ~29.6 GB VRAM. NVIDIA A100 40GB has 40.0 GB. With Q4_K_M quantization, expect ~68 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) — 29.6 GB, 68.4 tok/s, Runs well
29.6 GB required40.0 GB available
74% VRAM used

Fit status

Runs well

Decode

68.4 tok/s

TTFT

2831 ms

Safe context

4K

Memory

29.6 GB / 40.0 GB

Memory breakdown

Weights20.7 GB
KV Cache3.7 GB
Runtime1.2 GB
Headroom4.0 GB

See how fast it feels

See how fast it feelsYi 1.5 34B on NVIDIA A100 40GB
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: 68.4 tok/s decode · 2.8s TTFT (warm) · 171 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 well68.4 tok/s1544 ms4K
CodingBRuns well68.4 tok/s2831 ms4K
Agentic CodingBTight fit68.4 tok/s4118 ms4K
ReasoningBRuns well68.4 tok/s3346 ms4K
RAGBTight fit68.4 tok/s5148 ms4K

Quantization options

How Yi 1.5 34B (34B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
13.3 GB
LowB58
Q3_K_S
3
16.7 GB
LowB60
NVFP4
4
19.0 GB
MediumB61
Q4_K_M
4
20.7 GB
MediumB61
Q5_K_M
5
24.5 GB
HighB61
Q6_KBest for your GPU
6
27.9 GB
HighB61
Q8_0
8
36.4 GB
Very HighF0
F16
16
69.7 GB
MaximumF0

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 A100 40GB run Yi 1.5 34B?

Yes, NVIDIA A100 40GB can run Yi 1.5 34B with a B grade (Runs well). Expected decode speed: 68.4 tok/s.

How much VRAM does Yi 1.5 34B need?

Yi 1.5 34B (34B parameters) requires approximately 29.6 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 A100 40GB?

On NVIDIA A100 40GB, Yi 1.5 34B achieves approximately 68.4 tokens per second decode speed with a time-to-first-token of 2831ms using Q4_K_M quantization.

Can NVIDIA A100 40GB run Yi 1.5 34B for coding?

For coding workloads, Yi 1.5 34B on NVIDIA A100 40GB receives a B grade with 68.4 tok/s and 4K context.

What context window can Yi 1.5 34B use on NVIDIA A100 40GB?

On NVIDIA A100 40GB, 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 A100 40GBSee all hardware for Yi 1.5 34B
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