Raises estimated decode speed by about 81%.
Adds memory headroom for longer context windows and future model growth.
~$899 MSRP
![]() |
VOOZH | about |
Falcon 7B Instruct needs ~7.2 GB VRAM. RTX 4060 Ti 16GB has 16.0 GB. With Q4_K_M quantization, expect ~54 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
54.1 tok/s
TTFT
3579 ms
Safe context
8K
Memory
7.2 GB / 16.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 54.1 tok/s | 1952 ms | 8K |
| Coding | B | Runs well | 54.1 tok/s | 3579 ms | 8K |
| Agentic Coding | B | Runs well | 54.1 tok/s | 5206 ms | 8K |
| Reasoning | B | Runs well | 54.1 tok/s | 4230 ms | 8K |
| RAG | B | Runs well | 54.1 tok/s | 6508 ms | 8K |
How Falcon 7B Instruct (7B params) fits at each quantization level on RTX 4060 Ti 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B63 |
Q3_K_S | 3 | 3.4 GB | Low | B63 |
NVFP4 | 4 | 3.9 GB | Medium | B64 |
Q4_K_M | 4 | 4.3 GB | Medium | B64 |
Q5_K_M | 5 | 5.0 GB | High | B65 |
Q6_K | 6 | 5.7 GB | High | B66 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | B67 |
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
Raises estimated decode speed by about 81%.
Adds memory headroom for longer context windows and future model growth.
~$899 MSRP
Raises estimated decode speed by about 81%.
Adds memory headroom for longer context windows and future model growth.
~$2,000 MSRP