Raises estimated decode speed by about 87%.
Adds memory headroom for longer context windows and future model growth.
~$1,999 MSRP
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VOOZH | about |
Falcon 7B Instruct needs ~8.0 GB VRAM. Tesla P40 24GB has 24.0 GB. With Q4_K_M quantization, expect ~48 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
52.5 tok/s
TTFT
3686 ms
Safe context
8K
Memory
8.0 GB / 24.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 52.5 tok/s | 2011 ms | 8K |
| Coding | B | Runs well | 47.8 tok/s | 4050 ms | 8K |
| Agentic Coding | B | Runs well | 52.5 tok/s | 5362 ms | 8K |
| Reasoning | B | Runs well | 52.5 tok/s | 4356 ms | 8K |
| RAG | B | Runs well | 52.5 tok/s | 6702 ms | 8K |
How Falcon 7B Instruct (7B params) fits at each quantization level on Tesla P40 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B60 |
Q3_K_S | 3 | 3.4 GB | Low | B61 |
NVFP4 | 4 |
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 87%.
Adds memory headroom for longer context windows and future model growth.
~$1,999 MSRP
Raises estimated decode speed by about 87%.
Adds memory headroom for longer context windows and future model growth.
~$2,499 MSRP
Raises estimated decode speed by about 87%.
Adds memory headroom for longer context windows and future model growth.
~$4,000 MSRP
3.9 GB |
| Medium |
| B61 |
Q4_K_M | 4 | 4.3 GB | Medium | B61 |
Q5_K_M | 5 | 5.0 GB | High | B62 |
Q6_K | 6 | 5.7 GB | High | B62 |
Q8_0 | 8 | 7.5 GB | Very High | B63 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | B66 |