Falcon 40B Instruct needs ~38.7 GB VRAM. MacBook Pro M4 Pro 64GB has 46.1 GB. With Q5_K_M quantization, expect ~15 tok/s.
Operating mode
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.
Select quantization to explore
Fit status
Tight fit
Decode
14.6 tok/s
TTFT
13284 ms
Safe context
8K
Memory
38.7 GB / 46.1 GB
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.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Tight fit | 14.6 tok/s | 7246 ms | 8K |
| Coding | B | Tight fit | 14.6 tok/s | 13284 ms | 8K |
| Agentic Coding | B | Tight fit | 14.6 tok/s | 19323 ms | 8K |
| Reasoning | B | Tight fit | 14.6 tok/s | 15700 ms | 8K |
| RAG | B | Tight fit | 14.6 tok/s | 24153 ms | 8K |
How Falcon 40B Instruct (40B params) fits at each quantization level on MacBook Pro M4 Pro 64GB (46.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 15.6 GB | Low | B66 |
Q3_K_S | 3 | 19.6 GB | Low | B67 |
NVFP4 | 4 |
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 99Upgrade options
Raises estimated decode speed by about 58%.
Adds memory headroom for longer context windows and future model growth.
~$2,499 MSRP
Raises estimated decode speed by about 47%.
Adds memory headroom for longer context windows and future model growth.
~$3,999 MSRP
Raises estimated decode speed by about 58%.
Adds memory headroom for longer context windows and future model growth.
~$4,999 MSRP
Yes, MacBook Pro M4 Pro 64GB can run Falcon 40B Instruct with a B grade (Tight fit). Expected decode speed: 14.6 tok/s.
Falcon 40B Instruct (40B parameters) requires approximately 38.7 GB of memory with Q5_K_M quantization.
The recommended quantization for Falcon 40B Instruct is Q5_K_M, which balances quality and memory efficiency.
On MacBook Pro M4 Pro 64GB, Falcon 40B Instruct achieves approximately 14.6 tokens per second decode speed with a time-to-first-token of 13284ms using Q5_K_M quantization.
For coding workloads, Falcon 40B Instruct on MacBook Pro M4 Pro 64GB receives a B grade with 14.6 tok/s and 8K context.
On MacBook Pro M4 Pro 64GB, Falcon 40B 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.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/falcon-40b-instruct-on-m4-pro-64gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
22.4 GB |
| Medium |
| B68 |
Q4_K_M | 4 | 24.4 GB | Medium | B69 |
Q5_K_M | 5 | 28.8 GB | High | B69 |
Q6_KBest for your GPU | 6 | 32.8 GB | High | B68 |
Q8_0 | 8 | 42.8 GB | Very High | F0 |
F16 | 16 | 82.0 GB | Maximum | F0 |
Not always. MacBook Pro M4 Pro 64GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.