Aya Expanse 8B needs ~9.3 GB VRAM. RX 7800 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~85 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
85.2 tok/s
TTFT
2272 ms
Safe context
8K
Memory
9.3 GB / 16.0 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 | C | Runs well | 85.2 tok/s | 1239 ms | 8K |
| Coding | B | Runs well | 85.2 tok/s | 2272 ms | 8K |
| Agentic Coding | B | Runs well | 85.2 tok/s | 3304 ms | 8K |
| Reasoning | B | Runs well | 85.2 tok/s | 2685 ms | 8K |
| RAG | B | Runs well | 85.2 tok/s | 4130 ms | 8K |
How Aya Expanse 8B (8B params) fits at each quantization level on RX 7800 XT 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | C49 |
Q3_K_S | 3 | 3.9 GB | Low | C49 |
NVFP4 | 4 |
Copy-paste commands to run Aya Expanse 8B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "CohereForAI/aya-expanse-8b" \
--hf-file "aya-expanse-8b-Q4_K_M.gguf" \
-c 4096 -ngl 99Yes, RX 7800 XT 16GB can run Aya Expanse 8B with a B grade (Runs well). Expected decode speed: 85.2 tok/s.
Aya Expanse 8B (8B parameters) requires approximately 9.3 GB of memory with Q4_K_M quantization.
The recommended quantization for Aya Expanse 8B is Q4_K_M, which balances quality and memory efficiency.
On RX 7800 XT 16GB, Aya Expanse 8B achieves approximately 85.2 tokens per second decode speed with a time-to-first-token of 2272ms using Q4_K_M quantization.
For coding workloads, Aya Expanse 8B on RX 7800 XT 16GB receives a B grade with 85.2 tok/s and 8K context.
On RX 7800 XT 16GB, Aya Expanse 8B 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/aya-expanse-8b-on-rx-7800-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:
4.5 GB |
| Medium |
| C50 |
Q4_K_M | 4 | 4.9 GB | Medium | C50 |
Q5_K_M | 5 | 5.8 GB | High | C51 |
Q6_K | 6 | 6.6 GB | High | C52 |
Q8_0Best for your GPU | 8 | 8.6 GB | Very High | C53 |
F16 | 16 | 16.4 GB | Maximum | F0 |