Can MPT-7B-Instruct run on B100 192GB?

YES — Runs Great

B62Good

Estimated from fit model

MPT-7B-Instruct needs ~32.5 GB VRAM. B100 192GB has 192.0 GB. With Q4_K_M quantization, expect ~98 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: 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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 32.5 GB, 98.0 tok/s, Runs well

32.5 GB required192.0 GB available

17% VRAM used

Fit status

Runs well

Decode

98.0 tok/s

TTFT

1976 ms

Safe context

Memory

32.5 GB / 192.0 GB

Memory breakdown

Weights4.3 GB

KV Cache7.8 GB

Runtime1.2 GB

Headroom19.2 GB

See how fast it feels

See how fast it feelsMPT-7B-Instruct on B100 192GB
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: 98.0 tok/s decode · 2.0s TTFT (warm) · 245 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	98.0 tok/s	1078 ms	8K
Coding	B	Runs well	98.0 tok/s	1976 ms	8K
Agentic Coding	B	Runs well	98.0 tok/s	2873 ms	8K
Reasoning	B	Runs well	98.0 tok/s	2335 ms	8K
RAG	B	Runs well	98.0 tok/s	3592 ms	8K

Quantization options

How MPT-7B-Instruct (7B params) fits at each quantization level on B100 192GB (192.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	2.7 GB	Low	C53
Q3_K_S	3	3.4 GB	Low	C53
NVFP4	4	3.9 GB	Medium	C53
Q4_K_M	4	4.3 GB	Medium	C53
Q5_K_M	5	5.0 GB	High	C53
Q6_K	6	5.7 GB	High	C53
Q8_0	8	7.5 GB	Very High	C53
F16Best for your GPU	16	14.3 GB	Maximum	C53

Get started

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

Run

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

Frequently asked questions

Can B100 192GB run MPT-7B-Instruct?

Yes, B100 192GB can run MPT-7B-Instruct with a B grade (Runs well). Expected decode speed: 98.0 tok/s.

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

MPT-7B-Instruct (7B parameters) requires approximately 32.5 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 B100 192GB?

On B100 192GB, MPT-7B-Instruct achieves approximately 98.0 tokens per second decode speed with a time-to-first-token of 1976ms using Q4_K_M quantization.

Can B100 192GB run MPT-7B-Instruct for coding?

For coding workloads, MPT-7B-Instruct on B100 192GB receives a B grade with 98.0 tok/s and 8K context.

What context window can MPT-7B-Instruct use on B100 192GB?

On B100 192GB, 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 B100 192GB 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-b100-192gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview:

Workload

Grade

Fit

Decode

TTFT

Context

Chat

Runs well

98.0 tok/s

1078 ms

Coding

Runs well

98.0 tok/s

1976 ms

Agentic Coding

Runs well

98.0 tok/s

2873 ms

Reasoning

Runs well

98.0 tok/s

2335 ms

RAG

Runs well

98.0 tok/s

3592 ms

Quant

Bits

VRAM

Quality

Fit

Q2_K

2.7 GB

Low

C53

Q3_K_S

3.4 GB

Low

C53

NVFP4

3.9 GB

Medium

C53

Q4_K_M

4.3 GB

Medium

C53

Q5_K_M

5.0 GB

High

C53

Q6_K

5.7 GB

High

C53

Q8_0

7.5 GB

Very High

C53

F16Best for your GPU

14.3 GB

Maximum

C53

Frequently asked questions

Can B100 192GB run MPT-7B-Instruct?

Yes, B100 192GB can run MPT-7B-Instruct with a B grade (Runs well). Expected decode speed: 98.0 tok/s.

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

MPT-7B-Instruct (7B parameters) requires approximately 32.5 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 B100 192GB?

On B100 192GB, MPT-7B-Instruct achieves approximately 98.0 tokens per second decode speed with a time-to-first-token of 1976ms using Q4_K_M quantization.

Can B100 192GB run MPT-7B-Instruct for coding?

For coding workloads, MPT-7B-Instruct on B100 192GB receives a B grade with 98.0 tok/s and 8K context.

What context window can MPT-7B-Instruct use on B100 192GB?

On B100 192GB, 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.