GigaChat Lightning 10B on NVIDIA GeForce RTX 4060 Ti 16GB
RTX 4060 Ti 16GB runs GigaChat Lightning 10B at Q8_0 — 55 tok/s. Usable on 16 GB VRAM — see full quantization options below.
Model Size
10B
Device VRAM
16 GB
Bandwidth
288 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for GigaChat Lightning 10B on NVIDIA GeForce RTX 4060 Ti 16GB at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 55 tok/s | 109ms | ✓ Yes | Acceptable | estimated |
Notes
Q8_0
Q8_0 fits in 16GB with 5GB headroom. Small MoE model; 1.8B active per token keeps decode speed high once loaded.
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 NVIDIA GeForce RTX 4060 Ti 16GB
NVIDIA GeForce RTX 4060 Ti 16GB has 16 GB at 288 GB/s. Street price: $449.
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Estimate method: Estimated from small-model MoE benchmarks and bandwidth scaling. Reference hardware source: github.com (2026-03-24)
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.