Can Falcon 40B Instruct run on NVIDIA H800 80GB?
YES — Runs Great
Falcon 40B Instruct needs ~39.8 GB VRAM. NVIDIA H800 80GB has 80.0 GB. With Q5_K_M quantization, expect ~94 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
93.6 tok/s
TTFT
2069 ms
Safe context
8K
Memory
39.8 GB / 80.0 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 | A | Runs well | 93.6 tok/s | 1128 ms | 8K |
| Coding | A | Runs well | 93.6 tok/s | 2069 ms | 8K |
| Agentic Coding | A | Runs well | 93.6 tok/s | 3009 ms | 8K |
| Reasoning | A | Runs well | 93.6 tok/s | 2445 ms | 8K |
| RAG | A | Runs well | 93.6 tok/s | 3761 ms | 8K |
Quantization options
How Falcon 40B Instruct (40B params) fits at each quantization level on NVIDIA H800 80GB (80.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 15.6 GB | Low | B62 |
Q3_K_S | 3 | 19.6 GB | Low | B62 |
NVFP4 | 4 | 22.4 GB | Medium | B63 |
Q4_K_M | 4 | 24.4 GB | Medium | B63 |
Q5_K_M | 5 | 28.8 GB | High | B64 |
Q6_K | 6 | 32.8 GB | High | B65 |
Q8_0Best for your GPU | 8 | 42.8 GB | Very High | B68 |
F16 | 16 | 82.0 GB | Maximum | F0 |
Get started
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 99Your hardware
More models your NVIDIA H800 80GB can run
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 123B | A | 24.9 tok/s | ||
| 122B | S | 73.9 tok/s | ||
| 119B | A | 78.4 tok/s | ||
| 117B | A | 28.3 tok/s | ||
| 111B | S | 32.9 tok/s |
Frequently asked questions
Can NVIDIA H800 80GB run Falcon 40B Instruct?
Yes, NVIDIA H800 80GB can run Falcon 40B Instruct with a A grade (Runs well). Expected decode speed: 93.6 tok/s.
How much VRAM does Falcon 40B Instruct need?
Falcon 40B Instruct (40B parameters) requires approximately 39.8 GB of memory with Q5_K_M quantization.
What is the best quantization for Falcon 40B Instruct?
The recommended quantization for Falcon 40B Instruct is Q5_K_M, which balances quality and memory efficiency.
What speed will Falcon 40B Instruct run at on NVIDIA H800 80GB?
On NVIDIA H800 80GB, Falcon 40B Instruct achieves approximately 93.6 tokens per second decode speed with a time-to-first-token of 2069ms using Q5_K_M quantization.
Can NVIDIA H800 80GB run Falcon 40B Instruct for coding?
For coding workloads, Falcon 40B Instruct on NVIDIA H800 80GB receives a A grade with 93.6 tok/s and 8K context.
What context window can Falcon 40B Instruct use on NVIDIA H800 80GB?
On NVIDIA H800 80GB, 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.
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