GigaChat Lightning 10B on AMD Radeon RX 7900 XTX
Yes — AMD Radeon RX 7900 XTX handles GigaChat Lightning 10B well at Q8_0 — 57 tok/s. Solid daily-driver performance on 24 GB VRAM.
Model Size
10B
Device VRAM
24 GB
Bandwidth
960 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for GigaChat Lightning 10B on AMD Radeon RX 7900 XTX at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 57 tok/s | 106ms | ✓ Yes | Good | estimated |
Notes
Q8_0
ROCm can run large models well on RDNA 3, though CUDA equivalents still have broader tooling support. Q8_0 fits in VRAM on this card. MoE models still have to load the full expert pool into memory.
About GigaChat Lightning 10B
GigaChat Lightning 10B (10B) is a chat, multi-purpose model. Compact MoE model with 10B total parameters and around 1.8B active per token. Interesting efficiency play for chat workloads that want MoE-style speed without the memory cost of larger expert models.
View all GigaChat Lightning 10B hardware options →About AMD Radeon RX 7900 XTX
AMD Radeon RX 7900 XTX has 24 GB at 960 GB/s. Street price: $849.
See all models AMD Radeon RX 7900 XTX can run →Builds with AMD Radeon RX 7900 XTX
Estimate method: Estimated from rtx-3090 compatibility patterns plus ROCm/Vulkan adjustments. Reference hardware source: github.com (2026-03-26)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.