We're excited to introduce the experimental version of Stable LM 3B, a compact language model with 3 billion parameters, tailored for use on portable devices like handhelds and laptops. Unlike larger models with 7 to 70 billion parameters, Stable LM 3B is designed for efficiency, requiring fewer resources and operating at lower costs. This not only makes it more affordable but also environmentally friendly due to lesser power consumption.
Despite its smaller size, Stable LM 3B competes well, outperforming previous 3B parameter models and some 7B parameter open-source models. This development broadens the scope of applications on edge devices or home PCs, facilitating the creation of cutting-edge technologies with strong conversational abilities while keeping costs low.
Compared to earlier releases, Stable LM 3B is better at text generation and maintains fast execution speed. It has shown improved performance on common natural language processing benchmarks owing to extensive training on high-quality data. Moreover, it's versatile and can be fine-tuned for various uses like programming assistance, making it a cost-effective choice for companies looking to customize it for different applications.
Being a base model, Stable LM 3B requires adjustments for safe performance in specific use cases, urging developers to evaluate and fine-tune it before deployment. We are currently testing our instruction fine-tuned model for safety, with plans to release it soon.
We encourage the community to explore Stable LM 3B by downloading the model weights on the Hugging Face platform. This model is released under the open-source CC-By-SA 4.0 license, and we welcome feedback at research@stability.ai to enhance its capabilities ahead of our full release.
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