Search results for "Llama"
Found 3 results (3 tools · 0 articles · 0 skills). Sorted by relevance by .
AI Tools (3)
StableLM—an open-source AI model from the same family as Stable Diffusion, capable of running with only 3B parameters and commercially viable.
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StableLM is an open-source large language model series launched by Stability AI. It is trained on The Pile extended dataset, which contains 1.5 trillion tokens. It offers multiple parameter versions, including 1.6B, 3B, 7B, and 12B, and supports text generation and code writing. It is licensed under the CC BY-SA 4.0 open-source license, allowing free commercial use. Stable LM 2 12B outperforms Llama 2 70B in some benchmark tests. It is suitable for developers, researchers, and small and medium-sized enterprises for private deployment.
2026-07-02LLaMA—Meta's open-source AI model revolution, with performance comparable to GPT-4 and completely free for commercial use.
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LLaMA is an open-source family of large language models launched by Meta, evolving from LLaMA 1 in February 2023 to multimodal LLaMA 4. The 70B parameter version boasts performance close to GPT-4, while the 405B version rivals GPT-4o. It is completely open-source and commercially viable. Enterprises can download and deploy it on their own servers without data sharing, meeting compliance requirements in industries such as finance and healthcare. With over 1.2 billion downloads globally, it is suitable for developers and enterprises requiring private deployment and deep customization.
2026-07-02Meta AI Developer Platform – Llama Open Source Ecosystem and Muse Spark Programming Model: Reshaping the Paradigm of AI Application Development
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The Meta AI Developer Platform is the core entry point for Meta's generative AI ecosystem. Through the open-source Llama model, the high-performance Muse Spark programming model, and the Meta Model API, it provides developers with end-to-end support, from model fine-tuning and application building to commercial deployment. Its core strategy is to evolve from "content-generating AI" to "task-execution AI Agents," aiming to make AI the infrastructure driving product efficiency and commercial transformation.
2026-07-14