GigaChat Lightning 10B on Apple M2 (8GB Unified)
M2 (8GB Unified) cannot run GigaChat Lightning 10B. 8 GB VRAM is insufficient at any quantization level.
Model Size
10B
Device VRAM
8 GB
Bandwidth
100 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for GigaChat Lightning 10B on Apple M2 (8GB Unified) at Q8_0. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | – | – | ✗ Offload | Not viable | estimated |
Notes
Q8_0
Smallest quantization requires more than the ~5.5GB available on this 8GB Mac.
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 M2 (8GB Unified)
Apple M2 (8GB Unified) has 8 GB at 100 GB/s. Available in MacBook Air 13" (2022), MacBook Air 15" (2023), MacBook Pro 13" (2022).
See all models Apple M2 (8GB Unified) can run →Estimate method: Estimated: model exceeds 8GB Mac usable VRAM. 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.