Can MPT-7B-Instruct run on NVIDIA L4 24GB?

YES — Runs Great

B70Good

Estimated from fit model

MPT-7B-Instruct needs ~15.7 GB VRAM. NVIDIA L4 24GB has 24.0 GB. With Q4_K_M quantization, expect ~46 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: LowStack: 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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 15.7 GB, 45.7 tok/s, Runs well

15.7 GB required24.0 GB available

65% VRAM used

Fit status

Runs well

Decode

45.7 tok/s

TTFT

4239 ms

Safe context

Memory

15.7 GB / 24.0 GB

Memory breakdown

Weights4.3 GB

KV Cache7.8 GB

Runtime1.2 GB

Headroom2.4 GB

See how fast it feels

See how fast it feelsMPT-7B-Instruct on NVIDIA L4 24GB
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: 45.7 tok/s decode · 4.2s TTFT (warm) · 114 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	Runs well	45.7 tok/s	2312 ms	8K
Coding	B	Runs well	45.7 tok/s	4239 ms	8K
Agentic Coding	B	Runs with offload	45.7 tok/s	6166 ms	8K
Reasoning	B	Runs well	45.7 tok/s	5010 ms	8K
RAG	B	Runs with offload	45.7 tok/s	7708 ms	8K

Quantization options

How MPT-7B-Instruct (7B params) fits at each quantization level on NVIDIA L4 24GB (24.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	2.7 GB	Low	B60
Q3_K_S	3	3.4 GB	Low	B61
NVFP4	4	3.9 GB	Medium	B61
Q4_K_M	4	4.3 GB	Medium	B61
Q5_K_M	5	5.0 GB	High	B62
Q6_K	6	5.7 GB	High	B62
Q8_0	8	7.5 GB	Very High	B63
F16Best for your GPU	16	14.3 GB	Maximum	B66

Get started

Copy-paste commands to run MPT-7B-Instruct on your machine.

Run

lms load mpt-7b-instruct && lms server start

アップグレードオプション

MPT-7B-Instructを快適に動かすハードウェア

MacBook Pro M4 Max 36GBコスパ重視

36 GB Unified (+12)410 GB/s (+110)

Raises estimated decode speed by about 44%.65.9 tok/sデコード

Raises estimated decode speed by about 44%.

〜$2,499 MSRP

Frequently asked questions

Can NVIDIA L4 24GB run MPT-7B-Instruct?

Yes, NVIDIA L4 24GB can run MPT-7B-Instruct with a B grade (Runs well). Expected decode speed: 45.7 tok/s.

How much VRAM does MPT-7B-Instruct need?

MPT-7B-Instruct (7B parameters) requires approximately 15.7 GB of memory with Q4_K_M quantization.

What is the best quantization for MPT-7B-Instruct?

The recommended quantization for MPT-7B-Instruct is Q4_K_M, which balances quality and memory efficiency.

What speed will MPT-7B-Instruct run at on NVIDIA L4 24GB?

On NVIDIA L4 24GB, MPT-7B-Instruct achieves approximately 45.7 tokens per second decode speed with a time-to-first-token of 4239ms using Q4_K_M quantization.

Can NVIDIA L4 24GB run MPT-7B-Instruct for coding?

For coding workloads, MPT-7B-Instruct on NVIDIA L4 24GB receives a B grade with 45.7 tok/s and 8K context.

What context window can MPT-7B-Instruct use on NVIDIA L4 24GB?

On NVIDIA L4 24GB, MPT-7B-Instruct 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 L4 24GB See all hardware for MPT-7B-Instruct

Embed this result▼

Paste this snippet into any page to show a live fit card.

<iframe src="https://willitrunai.com/embed/mpt-7b-instruct-on-l4-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview: