Speed Up LLM Inference with Speculative Decoding

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What is Speculative Decoding?

It’s a technique that uses a draft model (SLM) to work alongside the main LLM:

1️⃣ The draft model predicts the next K tokens.

2️⃣ The main LLM verifies and corrects them as needed.

3️⃣ If there’s a mismatch, the LLM continues the sequence, and the draft model restarts with updated input.

Why It Works:

• Up to 3x faster for code completion.

• Up to 2x faster for summarization, text generation, and instructions.

Pretrained Draft Models:

• Llama-3.1-8B-FastDraft-150M

• Phi-3-mini-FastDraft-50M

Why It Matters:

It makes LLMs faster, more efficient, and ready for real-world tasks.

Author

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