Stability AI unveils 12B parameter Stable LM 2 model and updated 1.6B variant - Dana Digital Media Blog

Stability AI has introduced the latest additions to its Stable LM 2 language model series: a 12 billion parameter base model and an instruction-tuned variant. These models were trained on an impressive two trillion tokens across seven languages: English, Spanish, German, Italian, French, Portuguese, and Dutch.

The 12 billion parameter model aims to strike a balance between strong performance, efficiency, memory requirements, and speed. It follows the established framework of Stability AI’s previously released Stable LM 2 1.6B technical report. This new release extends the company’s model range, offering developers a transparent and powerful tool for innovating with AI language technology.

Alongside the 12B model, Stability AI has also released a new version of its Stable LM 2 1.6B model. This updated 1.6B variant improves conversation abilities across the same seven languages while maintaining remarkably low system requirements.

Stable LM 2 12B is designed as an efficient open model tailored for multilingual tasks with smooth performance on widely available hardware.

According to Stability AI, this model can handle tasks typically feasible only for significantly larger models, which often require substantial computational and memory resources, such as large Mixture-of-Experts (MoEs). The instruction-tuned version is particularly well-suited for various uses, including as a central part of retrieval RAG systems, due to its high performance in tool usage and function calling.

In performance comparisons with popular strong language models like Mixtral, Llama2, Qwen 1.5, Gemma, and Mistral, Stable LM 2 12B offers solid results when tested on zero-shot and few-shot tasks across general benchmarks outlined in the Open LLM leaderboard

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