Llama is an accessible, open large language model (LLM) designed for developers, researchers, and businesses to build, experiment, and responsibly scale their generative AI ideas. Part of a foundational system, it serves as a bedrock for innovation in the global community. A few key aspects:
- Open access: Easy accessibility to cutting-edge large language models, fostering collaboration and advancements among developers, researchers, and organizations
- Broad ecosystem: Llama models have been downloaded hundreds of millions of times, there are thousands of community projects built on Llama and platform support is broad from cloud providers to startups - the world is building with Llama!
- Trust & safety: Llama models are part of a comprehensive approach to trust and safety, releasing models and tools that are designed to enable community collaboration and encourage the standardization of the development and usage of trust and safety tools for generative AI
DeepSeek-V3, a powerful Mixture-of-Experts (MoE) language model with a total of 671B parameters and 37B parameters activated for each token. To achieve efficient inference and cost-effective training, DeepSeek-V3 adopts the Multi-head Latent Attention (MLA) and DeepSeekMoE architectures, which have been thoroughly verified in DeepSeek-V2. Moreover, DeepSeek-V3 pioneers an auxiliary-loss-free strategy for load balancing and sets […]