OpenLLaMA
An Open Reproduction of LLaMA.
Overview
OpenLLaMA is an open-source project by OpenLM Research that provides a permissively licensed reproduction of Meta AI's LLaMA large language model. The project has released a series of models of different sizes, trained on the RedPajama dataset, which is an open-source reproduction of the LLaMA training data. OpenLLaMA aims to provide an accessible and powerful large language model for researchers and developers.
✨ Key Features
- Open-source reproduction of LLaMA
- Permissively licensed (Apache 2.0)
- Trained on the RedPajama dataset
- Available in various sizes (3B, 7B, 13B)
- Provides both PyTorch and JAX weights
🎯 Key Differentiators
- Permissively licensed reproduction of LLaMA
- Trained on an open dataset
Unique Value: Provides a powerful, permissively licensed open-source LLM based on the LLaMA architecture.
🎯 Use Cases (4)
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Code generation tasks (for some versions due to tokenizer)
🏆 Alternatives
Offers a more open and commercially-friendly alternative to the original LLaMA models.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: Free for commercial use under the Apache 2.0 license.
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