MiMo-7B-RL Differentiators
MiMo-7B-RL has three core technical advantages over other 7 billion parameter-level open source models:
1. Enhanced learning optimization system
- Trained on 130,000 high quality math/code datasets
- RL-Zero and RL two-stage optimization strategy
- Seamless rollback engine increases training speed by 2.29x
2. Proprietary reasoning acceleration techniques
- Multiple Token Prediction (MTP) up to 90% Acceptance Rate
- Support for Xiaomi's customized vLLM and SGLang engines
- Batch processing efficiency better than standard Transformers
3. Vertical specialization
- Outstanding ability to solve math competitions (AIME/MATH-500)
- LiveCodeBench Code generation quality comparable to commercial models
- Bilingual English/Chinese support better than most open source models
Typical Application Scenario Advantages::
In the education field, its MATH-500 95.8%'s correct rate far exceeds that of its counterparts; in the development scenario, it supports multi-language generation such as Python/C++, and its LiveCodeBench pass rate of 57.8% is outstanding.
This answer comes from the articleMiMo: A Small Open Source Model for Efficient Mathematical Reasoning and Code GenerationThe
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