True to the rumors and advance reports, Meta Platforms, the corporate previously generally known as Fb, right this moment unveiled Code Llama, its new generative AI giant language mannequin (LLM) designed particularly for programming — and just like the extra general-purpose LLaMA 2, it’s open supply and licensed for industrial use.

Code Llama is “designed to help software program engineers in all sectors — together with analysis, business, open supply tasks, NGOs, and companies,” Meta says in its weblog submit saying the fashions.

The instrument instantly turns into a serious rival to OpenAI’s Codex (powered by a modified GPT-3), the Codex-powered Github Copilot from Microsoft, and different coding-specific LLM assistants equivalent to Stack Overflow’s OverflowAI.

In its weblog submit, Meta explains that Code LlaMA is a “code-specialized” model of LLaMA 2 that may generate code, full code, create developer notes and documentation, be used for debugging, and extra. It helps Python, C++, Java, PHP, Typescript (Javascript), C# and Bash. You may learn the complete analysis paper from Meta about its efficiency here, which describes Code LlaMA as a “household” of LLMs for code.

Constructing on that analogy, the household contains three important members: a 7-billion, a 13-billion and a 34-billion parameter mannequin, every educated on 500 billion tokens. The smaller fashions are designed to run on fewer GPUs (the 7-billion mannequin can run on a single one), a helpful attribute given the rumored scarcity in this critical piece of hardware at the moment, and Meta says each are sooner than its 34-billion large mannequin.

All fashions help as much as 100,000 tokens for his or her prompts. This implies “customers can present the mannequin with extra context from their codebase to make the generations extra related,” based on Meta.

The LLaMA prolonged household additionally contains two fine-tuned fashions, one for Python and one for Instruct, the latter of which “has [been] fine-tuned to generate useful and secure solutions in pure language,” and due to this fact, Meta says, needs to be used when producing new code from pure language prompts. That’s, it returns safer, extra anticipated and maybe much less artistic responses.

You may download Code LlaMA directly from Meta here and discover the source code on Github here.