GigaChat Lightning 10B on Apple M3 (16GB Unified)
Yes — M3 (16GB Unified) handles GigaChat Lightning 10B well at Q8_0 — 24 tok/s. Solid daily-driver performance on 16 GB VRAM.
Model Size
10B
Device VRAM
16 GB
Bandwidth
100 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for GigaChat Lightning 10B on Apple M3 (16GB Unified) at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 24 tok/s | – | ✓ Yes | Good | estimated |
Notes
Q8_0
Conservative estimate anchored to existing Apple Silicon results. Memory bandwidth and quantization size are the primary inference limiters.
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 Apple M3 (16GB Unified)
Apple M3 (16GB Unified) has 16 GB at 100 GB/s. Available in MacBook Air 13" (2024), MacBook Air 15" (2024).
See all models Apple M3 (16GB Unified) can run →Estimate method: Conservative estimate anchored to m4-16gb with bandwidth scaling, quantization-size adjustment, and generation damping. Reference hardware source: github.com (2026-04-18)
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.