Can Falcon 7B Instruct run on RTX 4000 Ada 20GB?
YES — Runs Great
Falcon 7B Instruct needs ~7.6 GB VRAM. RTX 4000 Ada 20GB has 20.0 GB. With Q4_K_M quantization, expect ~66 tok/s.
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.
Select quantization to explore
Fit status
Runs well
Decode
72.2 tok/s
TTFT
2680 ms
Safe context
8K
Memory
7.6 GB / 20.0 GB
Memory breakdown
See how fast it feels
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 65.8 tok/s | 1606 ms | 8K |
| Coding | B | Runs well | 65.8 tok/s | 2944 ms | 8K |
| Agentic Coding | B | Runs well | 65.8 tok/s | 4282 ms | 8K |
| Reasoning | B | Runs well | 65.8 tok/s | 3479 ms | 8K |
| RAG | B | Runs well | 65.8 tok/s | 5353 ms | 8K |
Quantization options
How Falcon 7B Instruct (7B params) fits at each quantization level on RTX 4000 Ada 20GB (20.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B61 |
Q3_K_S | 3 | 3.4 GB | Low | B62 |
NVFP4 | 4 |
Get started
Copy-paste commands to run Falcon 7B Instruct on your machine.
Run
lms load falcon-7b-instruct && lms server start