MTP technology analysis and application
Technical Principles: MTP (Multiple Token Prediction) dramatically improves inference efficiency by predicting multiple future tokens instead of the traditional single-token prediction.
Core Advantages
- 90% Acceptance rate: High accuracy for predicted multiple tokens
- 2x acceleration: Significantly reduces decoding steps and improves throughput
- Holding accuracy: Maintain original quality in math and code tasks
Enabling method
Must use Xiaomi customized vLLM, specific parameters:from vllm import LLM
llm = LLM(model="XiaomiMiMo/MiMo-7B-RL",
trust_remote_code=True,
num_speculative_tokens=1)
Application Scenario Suggestions::
- When batch processing math problem solutions
- High Frequency Code Generation Tasks
- Educational applications that require real-time response
Note: This technique has been optimized in the pre-training and SFT phases, and the RL phase freezes the MTP layer.
This answer comes from the articleMiMo: A Small Open Source Model for Efficient Mathematical Reasoning and Code GenerationThe
May not be reproduced without permission:AI productivity tools " What are the benefits of MiMo's Multi-Token Prediction (MTP) technology? How is it enabled?
