Falcon 40B Instruct needs ~36.6 GB VRAM. RTX 6000 Ada 48GB has 48.0 GB. With Q5_K_M quantization, expect ~30 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
30.3 tok/s
TTFT
6385 ms
Safe context
8K
Memory
36.6 GB / 48.0 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 | 30.3 tok/s | 3483 ms | 8K |
| Coding | A | Runs well | 30.3 tok/s | 6385 ms | 8K |
| Agentic Coding | A | Runs well | 30.3 tok/s | 9288 ms | 8K |
| Reasoning | A | Runs well | 30.3 tok/s | 7546 ms | 8K |
| RAG | A | Runs well | 30.3 tok/s | 11610 ms | 8K |
How Falcon 40B Instruct (40B params) fits at each quantization level on RTX 6000 Ada 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 15.6 GB | Low | B66 |
Q3_K_S | 3 | 19.6 GB | Low | B67 |
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 99Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 72B | A | 11.1 tok/s | ||
| 80B | A | 28.5 tok/s |
Yes, RTX 6000 Ada 48GB can run Falcon 40B Instruct with a A grade (Runs well). Expected decode speed: 30.3 tok/s.
Falcon 40B Instruct (40B parameters) requires approximately 36.6 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 RTX 6000 Ada 48GB, Falcon 40B Instruct achieves approximately 30.3 tokens per second decode speed with a time-to-first-token of 6385ms using Q5_K_M quantization.
For coding workloads, Falcon 40B Instruct on RTX 6000 Ada 48GB receives a A grade with 30.3 tok/s and 8K context.
On RTX 6000 Ada 48GB, 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-rtx-6000-ada-48gb" 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 |
| B68 |
Q4_K_M | 4 | 24.4 GB | Medium | B69 |
Q5_K_M | 5 | 28.8 GB | High | B69 |
Q6_KBest for your GPU | 6 | 32.8 GB | High | B68 |
Q8_0 | 8 | 42.8 GB | Very High | F0 |
F16 | 16 | 82.0 GB | Maximum | F0 |
| 70B | A | 11.9 tok/s |
| 48B | S | 26.9 tok/s |
| 70B | B | 11.9 tok/s |