AI Briefing122B MoE Local Inference with 8GB VRAM
Key point
InstinctRazor technology has been unveiled, running a 122B MoE model even in an 8GB VRAM environment by placing experts on the CPU.
Details
InstinctRazor-Qwen3.5-122B-A10B is a 122B MoE (Mixture of Experts) model and runtime configuration that dramatically lowers GPU VRAM requirements by keeping Experts on the CPU.
Through this approach, users can run local inference on large models with only 8GB-level consumer GPU VRAM. The total compressed model size is approximately 50GB.
Key Benchmark Performance (vs. Gemma-4-A4B):
- Wins: MMLU-Pro, GPQA-Diamond, MMMLU, HLE, LiveCodeBench
- Losses: MATH-500, AIME
The project focuses on optimizing the tradeoff between memory usage and execution time.
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