stablelm-2-1_6b
Maintainer: stabilityai
167
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
Stable LM 2 1.6B is a 1.6 billion parameter decoder-only language model developed by Stability AI. It was pre-trained on 2 trillion tokens of diverse multilingual and code datasets for two epochs. This model can be contrasted with similar large language models from Stability AI, such as stable-code-3b, which is focused on code generation, and stablelm-tuned-alpha-7b, which has been fine-tuned for chat-like applications.
Model inputs and outputs
Stable LM 2 1.6B is a text generation model that can be used to generate natural language text based on a given prompt. The model takes a text prompt as input and outputs a continuation or completion of that text.
Inputs
- Text prompt: A string of text that the model will use as the starting point for text generation.
Outputs
- Generated text: The model will generate new text that continues or extends the input prompt. The length and content of the generated text is controlled by parameters such as
max_new_tokens,temperature, andtop_p.
Capabilities
Stable LM 2 1.6B is a powerful language model that can be used for a variety of text generation tasks, such as writing, summarization, and translation. The model has been trained on a diverse corpus of data, giving it broad knowledge and the ability to generate coherent and contextually relevant text. Some key capabilities of the model include:
- Multilingual generation: The model can generate text in multiple languages, not just English.
- Code generation: The model has been trained on programming language data and can generate code snippets.
- Creative writing: The model can be used to generate short stories, poems, and other creative writing.
What can I use it for?
Stable LM 2 1.6B can be used for a variety of applications, including:
- Content generation: The model can be used to generate text for blogs, articles, social media posts, and other content.
- Summarization: The model can be used to summarize long passages of text.
- Translation: The model's multilingual capabilities can be used for translation between languages.
- Prototyping and ideation: The model can be used to generate ideas and explore creative concepts.
When using Stable LM 2 1.6B commercially, please refer to the Stability AI membership information.
Things to try
One interesting thing to try with Stable LM 2 1.6B is its capability for generating code. By providing the model with a prompt that includes instructions for a specific coding task, you can use the model to generate working code snippets. For example, you could prompt the model with "Write a Python function to find the number of CPU cores on a system" and see the model generate a functional code solution.
Another interesting aspect of the model is its ability to generate multilingual text. You can experiment with prompts in different languages to see the model's performance across various linguistic domains. This could be useful for tasks like machine translation or developing multilingual chatbots and virtual assistants.
Overall, Stable LM 2 1.6B is a versatile language model with a wide range of potential applications. By exploring its various capabilities and experimenting with different prompts and use cases, you can discover new and innovative ways to leverage this powerful AI technology.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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