Yi Coder 9B Chat needs ~9.8 GB VRAM. RX 7900 XTX 24GB has 24.0 GB. With Q4_K_M quantization, expect ~126 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
125.9 tok/s
TTFT
1538 ms
Safe context
231K
Memory
9.8 GB / 24.0 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 | 125.9 tok/s | 839 ms | 231K |
| Coding | C | Runs well | 125.9 tok/s | 1538 ms | 231K |
| Agentic Coding | C | Runs well | 125.9 tok/s | 2237 ms | 231K |
| Reasoning | C | Runs well | 125.9 tok/s | 1817 ms | 231K |
| RAG | C | Runs well | 125.9 tok/s | 2796 ms | 231K |
How Yi Coder 9B Chat (9B params) fits at each quantization level on RX 7900 XTX 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | C45 |
Q3_K_S | 3 | 4.4 GB | Low | C45 |
NVFP4 | 4 |
Copy-paste commands to run Yi Coder 9B Chat on your machine.
Run
lms load hf-maziyarpanahi--yi-coder-9b-chat-gguf && lms server startYes, RX 7900 XTX 24GB can run Yi Coder 9B Chat with a C grade (Runs well). Expected decode speed: 125.9 tok/s.
Yi Coder 9B Chat (9B parameters) requires approximately 9.8 GB of memory with Q4_K_M quantization.
The recommended quantization for Yi Coder 9B Chat is Q4_K_M, which balances quality and memory efficiency.
On RX 7900 XTX 24GB, Yi Coder 9B Chat achieves approximately 125.9 tokens per second decode speed with a time-to-first-token of 1538ms using Q4_K_M quantization.
For coding workloads, Yi Coder 9B Chat on RX 7900 XTX 24GB receives a C grade with 125.9 tok/s and 231K context.
On RX 7900 XTX 24GB, Yi Coder 9B Chat can safely use up to 231K tokens of context. The model's official context limit is —, 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/hf-maziyarpanahi--yi-coder-9b-chat-gguf-on-rx-7900-xtx-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
5.0 GB |
| Medium |
| C46 |
Q4_K_M | 4 | 5.5 GB | Medium | C46 |
Q5_K_M | 5 | 6.5 GB | High | C46 |
Q6_K | 6 | 7.4 GB | High | C47 |
Q8_0 | 8 | 9.6 GB | Very High | C48 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | C50 |