Xiaomi has formally entered the factitious intelligence area with the discharge of its first open-source reasoning mannequin, MiMo 7B. Developed by the corporate’s newly established Large Mannequin Core Workforce, MiMo represents a strategic shift from Xiaomi’s conventional {hardware} focus to superior AI analysis and improvement.
Regardless of having simply 7 billion parameters, MiMo has demonstrated sturdy efficiency in complicated reasoning duties, surpassing a lot bigger fashions like OpenAI’s o1-mini and Alibaba’s 32B QwQ-Preview. This efficiency has positioned Xiaomi within the highlight for producing a extremely environment friendly and compact mannequin able to rivaling extra resource-intensive opponents.
Benchmark Efficiency and Design Technique
MiMo 7B has outperformed its friends on benchmarks resembling AIME 24-25 (a check for mathematical reasoning) and LiveCodeBench v5 (a programming problem dataset). This success is attributed to a well-structured improvement course of consisting of each pre-training and post-training improvements.
Pre-training Methods Included:
- Wealthy Reasoning Corpus: Centered on extracting and integrating complicated reasoning information.
- Artificial Information Era: Produced roughly 200 billion tokens of expert-level reasoning knowledge to enhance coaching depth.
- Progressive Issue Coaching: Employed a three-phase coaching technique with growing ranges of issue.
- In depth Token Publicity: Educated throughout an enormous 25 trillion tokens, guaranteeing complete studying.
Publish-training Enhancements:
- Check Issue-Pushed Rewards: Launched a novel method for addressing reward sparsity in complicated algorithmic duties.
- Information Re-sampling Methods: Utilized to stabilize reinforcement studying processes.
- Seamless Rollout System: Elevated coaching effectivity by 2.29 instances and validation pace by 1.96 instances, streamlining the reinforcement studying (RL) pipeline.
A Broader Imaginative and prescient for AI
The discharge of MiMo underscores Xiaomi’s broader ambitions within the AI sector. Whereas beforehand identified for client electronics and sensible gadgets, Xiaomi is now positioning itself as a severe participant in AI mannequin improvement. By open-sourcing MiMo, Xiaomi is contributing to the collaborative AI analysis ecosystem, fostering innovation past proprietary improvement.
Builders and AI researchers can now entry MiMo 7B and its full technical documentation by way of Xiaomi’s official Hugging Face repository, providing a priceless device for additional experimentation and improvement. This transfer displays Xiaomi’s intent to construct a robust presence in AI whereas supporting the open-source neighborhood.
Filed in AI (Artificial Intelligence), ChatGPT and Xiaomi.
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