Falcon 40B Instruct needs ~51.0 GB VRAM. AMD Instinct MI300X 192GB has 192.0 GB. With Q5_K_M quantization, expect ~159 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
159.2 tok/s
TTFT
1216 ms
Safe context
8K
Memory
51.0 GB / 192.0 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 | 159.2 tok/s | 663 ms | 8K |
| Coding | B | Runs well | 159.2 tok/s | 1216 ms | 8K |
| Agentic Coding | B | Runs well | 159.2 tok/s | 1769 ms | 8K |
| Reasoning | B | Runs well | 159.2 tok/s | 1437 ms | 8K |
| RAG | B | Runs well | 159.2 tok/s | 2211 ms | 8K |
How Falcon 40B Instruct (40B params) fits at each quantization level on AMD Instinct MI300X 192GB (192.0 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, AMD Instinct MI300X 192GB can run Falcon 40B Instruct with a B grade (Runs well). Expected decode speed: 159.2 tok/s.
Falcon 40B Instruct (40B parameters) requires approximately 51.0 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 AMD Instinct MI300X 192GB, Falcon 40B Instruct achieves approximately 159.2 tokens per second decode speed with a time-to-first-token of 1216ms using Q5_K_M quantization.
For coding workloads, Falcon 40B Instruct on AMD Instinct MI300X 192GB receives a B grade with 159.2 tok/s and 8K context.
On AMD Instinct MI300X 192GB, 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-instinct-mi300x-192gb" 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 |
| B58 |
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 |