MPT-30B
Raising the bar for open-source foundation models.
Overview
MPT-30B is a 30-billion parameter, open-source large language model from MosaicML, licensed for commercial use. It is part of the Mosaic Pretrained Transformer (MPT) family and is designed to be more powerful than MPT-7B and to outperform the original GPT-3. MPT-30B includes features such as an 8k token context window, support for longer contexts via ALiBi, and efficient inference and training. It also has strong coding abilities due to its pre-training data mixture.
✨ Key Features
- 30 billion parameters
- Open-source and licensed for commercial use (Apache 2.0)
- Outperforms the original GPT-3
- 8k token context window
- Strong coding abilities
- Efficient training and inference
🎯 Key Differentiators
- High performance for its size, outperforming GPT-3
- Long context window (8k tokens)
- Commercially usable license
Unique Value: Provides a powerful, open-source, and commercially usable LLM that outperforms GPT-3 and is optimized for enterprise use cases.
🎯 Use Cases (4)
🏆 Alternatives
Offers a compelling combination of performance, context length, and commercial viability compared to other open-source models.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: Free for commercial use under the Apache 2.0 license.
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