Introducing the latest additions to our Stable LM 2 language model series: a 12 billion parameter base model and an instruction-tuned variant, trained on 2 trillion tokens in seven languages: English, Spanish, German, Italian, French, Portuguese, and Dutch. This medium-sized model balances strong performance, efficiency, memory requirements, and speed, following our established Stable LM 2 1.6B framework as detailed in our previously released technical report.

Stable Code Instruct 3B is our latest instruction-tuned large language model, built on top of Stable Code 3B. This model enhances code completion and supports natural language interactions, aiming to improve the efficiency and intuitiveness of programming and software development related tasks. Our analysis suggests that Stable Code Instruct 3B outperforms comparable models such as Codellama 7B Instruct, and DeepSeek-Coder Instruct 1.3B in various coding-related tasks.

Today, we are introducing our first language model from the new Stable LM 2 series: the 1.6 billion parameter base model and an instruction-tuned version. The base model is trained on…

Stable Code, an upgrade from Stable Code Alpha 3B, specializes in code completion and outperforms predecessors in efficiency and multi-language support. It is compatible with standard laptops, including non-GPU models, and features capabilities like FIM and expanded context size.