Will It Run AI

Can Falcon 7B Instruct run on Tesla P40 24GB?

YES — Runs Great

B63Good
Estimated from fit model

Falcon 7B Instruct needs ~8.0 GB VRAM. Tesla P40 24GB has 24.0 GB. With Q4_K_M quantization, expect ~53 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: LowStack: 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) — 8.0 GB, 52.5 tok/s, Runs well
8.0 GB required24.0 GB available
33% VRAM used

Fit status

Runs well

Decode

52.5 tok/s

TTFT

3686 ms

Safe context

8K

Memory

8.0 GB / 24.0 GB

Memory breakdown

Weights4.3 GB
KV Cache0.1 GB
Runtime1.2 GB
Headroom2.4 GB

See how fast it feels

See how fast it feelsFalcon 7B Instruct on Tesla P40 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: 52.5 tok/s decode · 3.7s TTFT (warm) · 131 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Older PCIe generation

PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.

Best improvement path

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatBRuns well52.5 tok/s2011 ms8K
CodingBRuns well52.5 tok/s3686 ms8K
Agentic CodingBRuns well52.5 tok/s5362 ms8K
ReasoningBRuns well52.5 tok/s4356 ms8K
RAGBRuns well52.5 tok/s6702 ms8K

Quantization options

How Falcon 7B Instruct (7B params) fits at each quantization level on Tesla P40 24GB (24.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
LowB60
Q3_K_S
3
3.4 GB
LowB61
NVFP4
4
3.9 GB
MediumB61
Q4_K_M
4
4.3 GB
MediumB61
Q5_K_M
5
5.0 GB
HighB62
Q6_K
6
5.7 GB
HighB62
Q8_0
8
7.5 GB
Very HighB63
F16Best for your GPU
16
14.3 GB
MaximumB66

Get started

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

Run

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

Opções de upgrade

Hardware que roda bem Falcon 7B Instruct

NVIDIARTX 5090 32GBOpção econômica
32 GB VRAM (+8)1792 GB/s (+1446)
B
Raises estimated decode speed by about 87%.98 tok/s decodificação

Raises estimated decode speed by about 87%.

Adds memory headroom for longer context windows and future model growth.

~$1,999 MSRP

NVIDIARTX PRO 4500 Blackwell 32GBMelhor custo-benefício
32 GB VRAM (+8)896 GB/s (+550)
B
Raises estimated decode speed by about 87%.98 tok/s decodificação

Raises estimated decode speed by about 87%.

Adds memory headroom for longer context windows and future model growth.

~$2,499 MSRP

NVIDIARTX 5000 Ada 32GBUpgrade NVIDIA
32 GB VRAM (+8)576 GB/s (+230)
B
Raises estimated decode speed by about 87%.98 tok/s decodificação

Raises estimated decode speed by about 87%.

Adds memory headroom for longer context windows and future model growth.

~$4,000 MSRP

Frequently asked questions

Can Tesla P40 24GB run Falcon 7B Instruct?

Yes, Tesla P40 24GB can run Falcon 7B Instruct with a B grade (Runs well). Expected decode speed: 52.5 tok/s.

How much VRAM does Falcon 7B Instruct need?

Falcon 7B Instruct (7B parameters) requires approximately 8.0 GB of memory with Q4_K_M quantization.

What is the best quantization for Falcon 7B Instruct?

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

What speed will Falcon 7B Instruct run at on Tesla P40 24GB?

On Tesla P40 24GB, Falcon 7B Instruct achieves approximately 52.5 tokens per second decode speed with a time-to-first-token of 3686ms using Q4_K_M quantization.

Can Tesla P40 24GB run Falcon 7B Instruct for coding?

For coding workloads, Falcon 7B Instruct on Tesla P40 24GB receives a B grade with 52.5 tok/s and 8K context.

What context window can Falcon 7B Instruct use on Tesla P40 24GB?

On Tesla P40 24GB, Falcon 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 Tesla P40 24GBSee all hardware for Falcon 7B Instruct
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