Falcon 40B Instruct needs ~41.4 GB VRAM. NVIDIA H20 96GB has 96.0 GB. With Q5_K_M quantization, expect ~125 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
124.8 tok/s
TTFT
1551 ms
Safe context
8K
Memory
41.4 GB / 96.0 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 | A | Runs well | 124.8 tok/s | 846 ms | 8K |
| Coding | A | Runs well | 124.8 tok/s | 1551 ms | 8K |
| Agentic Coding | A | Runs well | 124.8 tok/s | 2257 ms | 8K |
| Reasoning | A | Runs well | 124.8 tok/s | 1833 ms | 8K |
| RAG | A | Runs well | 124.8 tok/s | 2821 ms | 8K |
How Falcon 40B Instruct (40B params) fits at each quantization level on NVIDIA H20 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 15.6 GB | Low | B61 |
Q3_K_S | 3 | 19.6 GB | Low | B61 |
NVFP4 | 4 | 22.4 GB | Medium | B62 |
Q4_K_M | 4 | 24.4 GB | Medium | B62 |
Q5_K_M | 5 | 28.8 GB | High | B63 |
Q6_K | 6 | 32.8 GB | High | B64 |
Q8_0 | 8 | 42.8 GB | Very High | B66 |
F16Best for your GPU | 16 | 82.0 GB | Maximum | B68 |
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
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Devstral 2 123B Instruct | 123B | S | 47 tok/s | |
 Qwen 3.5 122B A10B | 122B | S | 130.3 tok/s | |
| Mistral Small 4 119B | 119B | S | 141.2 tok/s | |
 GPT-OSS 120B | 117B | S | 49.4 tok/s | |
 Command A 111B | 111B | S | 52.2 tok/s |
Yes, NVIDIA H20 96GB can run Falcon 40B Instruct with a A grade (Runs well). Expected decode speed: 124.8 tok/s.
Falcon 40B Instruct (40B parameters) requires approximately 41.4 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 NVIDIA H20 96GB, Falcon 40B Instruct achieves approximately 124.8 tokens per second decode speed with a time-to-first-token of 1551ms using Q5_K_M quantization.
For coding workloads, Falcon 40B Instruct on NVIDIA H20 96GB receives a A grade with 124.8 tok/s and 8K context.
On NVIDIA H20 96GB, 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-h20-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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