MosaicML MPT
A new standard for open-source, commercially usable LLMs.
Overview
MPT (MosaicML Pretrained Transformer) is a series of open-source, commercially usable large language models released by MosaicML. The MPT models are decoder-style transformers trained from scratch on large datasets of text and code. They are designed to be efficient for training and inference and include features like support for long context lengths. The MPT family includes models of various sizes, such as MPT-7B and MPT-30B, along with instruction-tuned and chat-tuned variants.
✨ Key Features
- Open-source and commercially usable (Apache 2.0 license)
- Trained from scratch on large datasets (1T+ tokens)
- Support for long context lengths (up to 65k with fine-tuning)
- Efficient training and inference
- Available in various sizes and fine-tuned variants
🎯 Key Differentiators
- Commercially usable license
- Focus on efficient training and long context lengths
Unique Value: Provides high-quality, open-source, and commercially usable foundation models for building custom LLMs.
🎯 Use Cases (5)
🏆 Alternatives
Offers a strong combination of performance, commercial usability, and features for long context and efficient training.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: Open-source models are free for commercial use under the Apache 2.0 license.
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