Adds memory headroom for longer context windows and future model growth.
~$6,999 MSRP
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VOOZH | about |
Falcon 7B Instruct needs ~19.7 GB VRAM. NVIDIA H200 141GB has 141.0 GB. With Q4_K_M quantization, expect ~98 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
98.0 tok/s
TTFT
1976 ms
Safe context
8K
Memory
19.7 GB / 141.0 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 | 98.0 tok/s | 1078 ms | 8K |
| Coding | B | Runs well | 98.0 tok/s | 1976 ms | 8K |
| Agentic Coding | B | Runs well | 98.0 tok/s | 2873 ms | 8K |
| Reasoning | B | Runs well | 98.0 tok/s | 2335 ms | 8K |
| RAG | B | Runs well | 98.0 tok/s | 3592 ms | 8K |
How Falcon 7B Instruct (7B params) fits at each quantization level on NVIDIA H200 141GB (141.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | C54 |
Q3_K_S | 3 | 3.4 GB | Low | C54 |
NVFP4 | 4 |
Copy-paste commands to run Falcon 7B Instruct on your machine.
Run
lms load falcon-7b-instruct && lms server startUpgrade options
3.9 GB |
| Medium |
| C54 |
Q4_K_M | 4 | 4.3 GB | Medium | C54 |
Q5_K_M | 5 | 5.0 GB | High | C54 |
Q6_K | 6 | 5.7 GB | High | C54 |
Q8_0 | 8 | 7.5 GB | Very High | C54 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | C54 |