Falcon 40B Instruct needs ~33.4 GB but RX 9070 XT 16GB only has 16.0 GB. Try a smaller quantization or lighter model.
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
17.4 GB over capacity — needs offload or smaller quantization
Fit status
Too heavy
Decode
2.7 tok/s
TTFT
72156 ms
Safe context
4K
Memory
33.4 GB / 16.0 GB
Offload
50%
Usable VRAM is the main blocker for this model.
Not enough usable memory
The model needs 33.4 GB, but this setup only exposes 16.0 GB of usable VRAM.
Add more VRAM headroom
The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | F | Too heavy | 2.8 tok/s | 37191 ms | 4K |
| Coding | F | Too heavy | 2.5 tok/s | 78470 ms | 4K |
| Agentic Coding | F | Too heavy | 2.4 tok/s | 117016 ms | 4K |
| Reasoning | F | Too heavy | 2.5 tok/s | 92738 ms | 4K |
| RAG | F | Too heavy | 2.4 tok/s | 146270 ms | 4K |
How Falcon 40B Instruct (40B params) fits at each quantization level on RX 9070 XT 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 15.6 GB | Low | F0 |
Q3_K_S | 3 | 19.6 GB | Low | F0 |
NVFP4 | 4 | 22.4 GB | Medium | F0 |
Q4_K_M | 4 | 24.4 GB | Medium | F0 |
Q5_K_M | 5 | 28.8 GB | High | F0 |
Q6_K | 6 | 32.8 GB | High | F0 |
Q8_0 | 8 | 42.8 GB | Very High | F0 |
F16 | 16 | 82.0 GB | Maximum | F0 |
アップグレードオプション
Makes the model fit on the accelerator instead of staying completely out of reach.
Raises estimated decode speed by about 241%.
〜$1,899 MSRP
Makes the model fit on the accelerator instead of staying completely out of reach.
Raises estimated decode speed by about 152%.
〜$2,249 MSRP
Makes the model fit on the accelerator instead of staying completely out of reach.
Removes host-memory offload, which is usually the single biggest latency and throughput win.
〜$3,999 MSRP
No, Falcon 40B Instruct requires more memory than RX 9070 XT 16GB provides.
Falcon 40B Instruct (40B parameters) requires approximately 33.4 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 RX 9070 XT 16GB, Falcon 40B Instruct achieves approximately 2.5 tokens per second decode speed with a time-to-first-token of 78470ms using Q5_K_M quantization.
For coding workloads, Falcon 40B Instruct on RX 9070 XT 16GB receives a F grade with 2.5 tok/s and 4K context.
On RX 9070 XT 16GB, Falcon 40B Instruct can safely use up to 4K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.
Add more VRAM headroom. The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/falcon-40b-instruct-on-rx-9070-xt-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
