📰 2026-05-06 01:30 更新
🔸 Accelerating Gemma 4: faster inference with multi-token prediction drafters / 加速Gemma 4 ：使用多令牌预测起草器进行更快的推理
🔗 Accelerating Gemma 4: faster inference with multi-token prediction drafters
🔥 77 points
原文:
Why speculative decoding?The technical reality is that standard LLM inference is memory-bandwidth bound, creating a significant latency bottleneck. The processor spends the majority of its time moving billions of parameters from VRAM to the compute units just to generate a single token. This leads to under-utilized compute and high latency, especially on consumer-grade hardware.Speculative decoding decouples token generation from verification. By pairing a heavy target model (e.g., Gemma 4 31…
译文:
为什么是推测解码？技术现实是，标准LLM推断是内存带宽受限的，造成了重大的延迟瓶颈。处理器花费大部分时间将数十亿个参数从VRAM移动到计算单元，以生成单个令牌。这导致计算利用不足和高延迟，特别是在消费级硬件上。推测性解码将令牌生成与验证分离。通过 配对重型目标模型（例如， Gemma 4 31…
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