Aya Expanse 8B needs ~9.3 GB VRAM. RX 6950 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~74 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
73.6 tok/s
TTFT
2631 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 | 73.6 tok/s | 1435 ms | 8K |
| Coding | B | Runs well | 73.6 tok/s | 2631 ms | 8K |
| Agentic Coding | B | Runs well | 73.6 tok/s | 3826 ms | 8K |
| Reasoning | B | Runs well | 73.6 tok/s | 3109 ms | 8K |
| RAG | B | Runs well | 73.6 tok/s | 4783 ms | 8K |
How Aya Expanse 8B (8B params) fits at each quantization level on RX 6950 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 6950 XT 16GB can run Aya Expanse 8B with a B grade (Runs well). Expected decode speed: 73.6 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 6950 XT 16GB, Aya Expanse 8B achieves approximately 73.6 tokens per second decode speed with a time-to-first-token of 2631ms using Q4_K_M quantization.
For coding workloads, Aya Expanse 8B on RX 6950 XT 16GB receives a B grade with 73.6 tok/s and 8K context.
On RX 6950 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-6950-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 |