Can Falcon 40B Instruct run on AMD Instinct MI250 128GB?
YES — Runs Great
Falcon 40B Instruct needs ~44.6 GB VRAM. AMD Instinct MI250 128GB has 128.0 GB. With Q5_K_M quantization, expect ~84 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
83.8 tok/s
TTFT
2310 ms
Safe context
8K
Memory
44.6 GB / 128.0 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 | B | Runs well | 83.8 tok/s | 1260 ms | 8K |
| Coding | B | Runs well | 83.8 tok/s | 2310 ms | 8K |
| Agentic Coding | A | Runs well | 83.8 tok/s | 3360 ms | 8K |
| Reasoning | B | Runs well | 83.8 tok/s | 2730 ms | 8K |
| RAG | A | Runs well | 83.8 tok/s | 4200 ms | 8K |
Quantization options
How Falcon 40B Instruct (40B params) fits at each quantization level on AMD Instinct MI250 128GB (128.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 15.6 GB | Low | B59 |
Q3_K_S | 3 | 19.6 GB | Low | B60 |
NVFP4 | 4 |
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 99