Falcon 40B Instruct needs ~50.6 GB VRAM. H100 NVL 188GB has 188.0 GB. With Q5_K_M quantization, expect ~243 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
243.3 tok/s
TTFT
796 ms
Safe context
8K
Memory
50.6 GB / 188.0 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 | 243.3 tok/s | 434 ms | 8K |
| Coding | B | Runs well | 243.3 tok/s | 796 ms | 8K |
| Agentic Coding | B | Runs well | 243.3 tok/s | 1157 ms | 8K |
| Reasoning | B | Runs well | 243.3 tok/s | 940 ms | 8K |
| RAG | B | Runs well | 243.3 tok/s | 1447 ms | 8K |
How Falcon 40B Instruct (40B params) fits at each quantization level on H100 NVL 188GB (188.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 15.6 GB | Low | B58 |
Q3_K_S | 3 | 19.6 GB | Low | B58 |
NVFP4 | 4 |
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 99Yes, H100 NVL 188GB can run Falcon 40B Instruct with a B grade (Runs well). Expected decode speed: 243.3 tok/s.
Falcon 40B Instruct (40B parameters) requires approximately 50.6 GB of memory with Q5_K_M quantization.
The recommended quantization for Falcon 40B Instruct is Q5_K_M, which balances quality and memory efficiency.
On H100 NVL 188GB, Falcon 40B Instruct achieves approximately 243.3 tokens per second decode speed with a time-to-first-token of 796ms using Q5_K_M quantization.
For coding workloads, Falcon 40B Instruct on H100 NVL 188GB receives a B grade with 243.3 tok/s and 8K context.
On H100 NVL 188GB, Falcon 40B Instruct can safely use up to 8K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/falcon-40b-instruct-on-h100-nvl-188gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
22.4 GB |
| Medium |
| B59 |
Q4_K_M | 4 | 24.4 GB | Medium | B59 |
Q5_K_M | 5 | 28.8 GB | High | B59 |
Q6_K | 6 | 32.8 GB | High | B60 |
Q8_0 | 8 | 42.8 GB | Very High | B61 |
F16Best for your GPU | 16 | 82.0 GB | Maximum | B65 |