Can WizardLM 13B run on NVIDIA L40 48GB?

YES — Runs Great

A74Great

Estimated from fit model

WizardLM 13B needs ~25.8 GB VRAM. NVIDIA L40 48GB has 48.0 GB. With Q4_K_M quantization, expect ~89 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: 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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 25.8 GB, 89.2 tok/s, Runs well

25.8 GB required48.0 GB available

54% VRAM used

Fit status

Runs well

Decode

89.2 tok/s

TTFT

2170 ms

Safe context

Memory

25.8 GB / 48.0 GB

Memory breakdown

Weights7.9 GB

KV Cache12.2 GB

Runtime0.9 GB

Headroom4.8 GB

See how fast it feels

See how fast it feelsWizardLM 13B on NVIDIA L40 48GB
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: 89.2 tok/s decode · 2.2s TTFT (warm) · 223 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	A	Runs well	89.2 tok/s	1183 ms	8K
Coding	A	Runs well	89.2 tok/s	2170 ms	8K
Agentic Coding	A	Runs well	89.2 tok/s	3156 ms	8K
Reasoning	A	Runs well	89.2 tok/s	2564 ms	8K
RAG	A	Runs well	89.2 tok/s	3945 ms	8K

Quantization options

How WizardLM 13B (13B params) fits at each quantization level on NVIDIA L40 48GB (48.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	5.1 GB	Low	B62
Q3_K_S	3	6.4 GB	Low	B63
NVFP4	4	7.3 GB	Medium	B63
Q4_K_M	4	7.9 GB	Medium	B63
Q5_K_M	5	9.4 GB	High	B63
Q6_K	6	10.7 GB	High	B64
Q8_0	8	13.9 GB	Very High	B65
F16Best for your GPU	16	26.7 GB	Maximum	B69

Get started

Copy-paste commands to run WizardLM 13B on your machine.

Run

lms load WizardLM-13B-V1.0 && lms server start

Your hardware

More models your NVIDIA L40 48GB can run

Model	Params	Grade	Decode
Qwen3-Coder 30B A3B Instruct	30.5B	S	73.4 tok/s
Qwen 3.5 27B	27B	S	30.6 tok/s
Qwen 3.6 27B	27B	S	20.1 tok/s
Qwen 3.6 35B A3B	35B	S	91.6 tok/s
Qwen3-VL 30B A3B Instruct	30B	S	105.4 tok/s

Frequently asked questions

Can NVIDIA L40 48GB run WizardLM 13B?

Yes, NVIDIA L40 48GB can run WizardLM 13B with a A grade (Runs well). Expected decode speed: 89.2 tok/s.

How much VRAM does WizardLM 13B need?

WizardLM 13B (13B parameters) requires approximately 25.8 GB of memory with Q4_K_M quantization.

What is the best quantization for WizardLM 13B?

The recommended quantization for WizardLM 13B is Q4_K_M, which balances quality and memory efficiency.

What speed will WizardLM 13B run at on NVIDIA L40 48GB?

On NVIDIA L40 48GB, WizardLM 13B achieves approximately 89.2 tokens per second decode speed with a time-to-first-token of 2170ms using Q4_K_M quantization.

Can NVIDIA L40 48GB run WizardLM 13B for coding?

For coding workloads, WizardLM 13B on NVIDIA L40 48GB receives a A grade with 89.2 tok/s and 8K context.

What context window can WizardLM 13B use on NVIDIA L40 48GB?

On NVIDIA L40 48GB, WizardLM 13B can safely use up to 8K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.

See all results for NVIDIA L40 48GB See all hardware for WizardLM 13B

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Preview:

Workload

Grade

Fit

Decode

TTFT

Context

Chat

Runs well

89.2 tok/s

1183 ms

Coding

Runs well

89.2 tok/s

2170 ms

Agentic Coding

Runs well

89.2 tok/s

3156 ms

Reasoning

Runs well

89.2 tok/s

2564 ms

RAG

Runs well

89.2 tok/s

3945 ms

Quantization options

How WizardLM 13B (13B params) fits at each quantization level on NVIDIA L40 48GB (48.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	5.1 GB	Low	B62
Q3_K_S	3	6.4 GB	Low	B63
NVFP4	4	7.3 GB	Medium	B63
Q4_K_M	4	7.9 GB	Medium	B63
Q5_K_M	5	9.4 GB	High	B63
Q6_K	6	10.7 GB	High	B64
Q8_0	8	13.9 GB	Very High	B65
F16Best for your GPU	16	26.7 GB	Maximum	B69

Model

Params

Grade

Decode

Capabilities

Qwen3-Coder 30B A3B Instruct

30.5B

73.4 tok/s

Qwen 3.5 27B

27B

30.6 tok/s

Qwen 3.6 27B

27B

20.1 tok/s

Qwen 3.6 35B A3B

35B

91.6 tok/s

Qwen3-VL 30B A3B Instruct

30B

105.4 tok/s

Frequently asked questions

Can NVIDIA L40 48GB run WizardLM 13B?

Yes, NVIDIA L40 48GB can run WizardLM 13B with a A grade (Runs well). Expected decode speed: 89.2 tok/s.

How much VRAM does WizardLM 13B need?

WizardLM 13B (13B parameters) requires approximately 25.8 GB of memory with Q4_K_M quantization.

What is the best quantization for WizardLM 13B?

The recommended quantization for WizardLM 13B is Q4_K_M, which balances quality and memory efficiency.

What speed will WizardLM 13B run at on NVIDIA L40 48GB?

On NVIDIA L40 48GB, WizardLM 13B achieves approximately 89.2 tokens per second decode speed with a time-to-first-token of 2170ms using Q4_K_M quantization.

Can NVIDIA L40 48GB run WizardLM 13B for coding?

For coding workloads, WizardLM 13B on NVIDIA L40 48GB receives a A grade with 89.2 tok/s and 8K context.

What context window can WizardLM 13B use on NVIDIA L40 48GB?

On NVIDIA L40 48GB, WizardLM 13B can safely use up to 8K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.