Can Falcon 40B Instruct run on Mac Studio M3 Ultra 96GB?

YES — Runs Great

A71Great

○Estimated from fit model

Falcon 40B Instruct needs ~42.2 GB VRAM. Mac Studio M3 Ultra 96GB has 69.1 GB. With Q5_K_M quantization, expect ~22 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

Q5_K_M (High quality) — 42.2 GB, 21.5 tok/s, Runs well

42.2 GB required69.1 GB available

61% VRAM used

Fit status

Runs well

Decode

21.5 tok/s

TTFT

9026 ms

Safe context

Memory

42.2 GB / 69.1 GB

Memory breakdown

Weights28.8 GB

KV Cache1.8 GB

Runtime1.2 GB

Headroom10.4 GB

See how fast it feels

See how fast it feelsFalcon 40B Instruct on Mac Studio M3 Ultra 96GB
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: 21.5 tok/s decode · 9.0s TTFT (warm) · 54 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Shared-memory contention still exists

The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	A	Runs well	21.5 tok/s	4923 ms	8K
Coding	A	Runs well	21.5 tok/s	9026 ms	8K
Agentic Coding	A	Runs well	21.5 tok/s	13128 ms	8K
Reasoning	A	Runs well	21.5 tok/s	10667 ms	8K
RAG	A	Runs well	21.5 tok/s	16410 ms	8K

Quantization options

How Falcon 40B Instruct (40B params) fits at each quantization level on Mac Studio M3 Ultra 96GB (69.1 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	15.6 GB	Low	B63
Q3_K_S	3	19.6 GB	Low	B64
NVFP4	4	22.4 GB	Medium	B64
Q4_K_M	4	24.4 GB	Medium	B65
Q5_K_M	5	28.8 GB	High	B66
Q6_K	6	32.8 GB	High	B67
Q8_0Best for your GPU	8	42.8 GB	Very High	B68
F16	16	82.0 GB	Maximum	F0

Get started

Copy-paste commands to run Falcon 40B Instruct on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
 --hf-repo "tiiuae/falcon-40b-instruct" \
 --hf-file "falcon-40b-instruct-Q5_K_M.gguf" \
 -c 4096 -ngl 99

Your hardware

More models your Mac Studio M3 Ultra 96GB can run

Model	Params	Grade	Decode
👁 Alibaba Qwen 2.5 VL 72B	72B	S	13.8 tok/s
👁 Alibaba Qwen3-Coder-Next	80B	S	37.6 tok/s
👁 Meta Llama 3.3 70B	70B	A	14.2 tok/s
👁 Moonshot AI Kimi Linear 48B A3B	48B	A	19 tok/s
👁 Meta Llama 3.1 70B	70B	A	14.2 tok/s

Frequently asked questions

See all results for Mac Studio M3 Ultra 96GB See all hardware for Falcon 40B Instruct

URL: https://willitrunai.com/can-run/falcon-40b-instruct-on-m3-ultra-96gb

⇱ Falcon 40B Instruct on Mac Studio M3 Ultra 96GB? YES