Raises estimated decode speed by about 29%.
Adds memory headroom for longer context windows and future model growth.
~$2,499 MSRP
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VOOZH | about |
Falcon 40B Instruct needs ~38.7 GB VRAM. Mac Studio M2 Ultra 64GB has 46.1 GB. With Q5_K_M quantization, expect ~18 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
17.9 tok/s
TTFT
10833 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 | 17.9 tok/s | 5909 ms | 8K |
| Coding | B | Tight fit | 17.9 tok/s | 10833 ms | 8K |
| Agentic Coding | B | Tight fit | 17.9 tok/s | 15757 ms | 8K |
| Reasoning | B | Tight fit | 17.9 tok/s | 12803 ms | 8K |
| RAG | B | Tight fit | 17.9 tok/s | 19696 ms | 8K |
How Falcon 40B Instruct (40B params) fits at each quantization level on Mac Studio M2 Ultra 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 | 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 |
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 29%.
Adds memory headroom for longer context windows and future model growth.
~$2,499 MSRP
Adds memory headroom for longer context windows and future model growth.
~$3,999 MSRP