Falcon 40B Instruct needs ~36.6 GB VRAM. Radeon PRO W7900 DS 48GB has 48.0 GB. With Q5_K_M quantization, expect ~20 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
19.6 tok/s
TTFT
9861 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 | 19.6 tok/s | 5379 ms | 8K |
| Coding | A | Runs well | 19.6 tok/s | 9861 ms | 8K |
| Agentic Coding | A | Runs well | 19.6 tok/s | 14343 ms | 8K |
| Reasoning | A | Runs well | 19.6 tok/s | 11653 ms | 8K |
| RAG | A | Runs well | 19.6 tok/s | 17928 ms | 8K |
How Falcon 40B Instruct (40B params) fits at each quantization level on Radeon PRO W7900 DS 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 | 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 |
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 |
|---|---|---|---|---|
 Qwen 2.5 VL 72B | 72B | A | 7.2 tok/s | |
| Qwen3-Coder-Next | 80B | A | 18.5 tok/s | |
 Llama 3.3 70B | 70B | A | 7.7 tok/s | |
 Kimi Linear 48B A3B | 48B | A | 17.4 tok/s | |
| Llama 3.1 70B | 70B | B | 7.7 tok/s |
Yes, Radeon PRO W7900 DS 48GB can run Falcon 40B Instruct with a A grade (Runs well). Expected decode speed: 19.6 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 Radeon PRO W7900 DS 48GB, Falcon 40B Instruct achieves approximately 19.6 tokens per second decode speed with a time-to-first-token of 9861ms using Q5_K_M quantization.
For coding workloads, Falcon 40B Instruct on Radeon PRO W7900 DS 48GB receives a A grade with 19.6 tok/s and 8K context.
On Radeon PRO W7900 DS 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-radeon-pro-w7900-ds-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: