Raises estimated decode speed by about 97%.
~$899 MSRP
![]() |
VOOZH | about |
Falcon 7B Instruct needs ~7.9 GB VRAM. MacBook Pro M4 Pro 24GB has 17.3 GB. With Q4_K_M quantization, expect ~50 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
Runs well
Decode
49.8 tok/s
TTFT
3891 ms
Safe context
8K
Memory
7.9 GB / 17.3 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 | Runs well | 49.8 tok/s | 2122 ms | 8K |
| Coding | B | Runs well | 49.8 tok/s | 3891 ms | 8K |
| Agentic Coding | B | Runs well | 49.8 tok/s | 5660 ms | 8K |
| Reasoning | B | Runs well | 49.8 tok/s | 4598 ms | 8K |
| RAG | B | Runs well | 49.8 tok/s | 7074 ms | 8K |
How Falcon 7B Instruct (7B params) fits at each quantization level on MacBook Pro M4 Pro 24GB (17.3 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B62 |
Q3_K_S | 3 | 3.4 GB | Low | B63 |
NVFP4 | 4 | 3.9 GB | Medium | B63 |
Q4_K_M | 4 | 4.3 GB | Medium | B64 |
Q5_K_M | 5 | 5.0 GB | High | B64 |
Q6_K | 6 | 5.7 GB | High | B65 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | B66 |
F16 | 16 | 14.3 GB | Maximum | F0 |
Copy-paste commands to run Falcon 7B Instruct on your machine.
Run
lms load falcon-7b-instruct && lms server startUpgrade options