llemma_34b
Maintainer: EleutherAI
83
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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
llemma_34b is a large language model for mathematics developed by EleutherAI. It was initialized with the Code Llama 34B weights and further trained on the Proof-Pile-2 dataset for 50B tokens. This model also comes in a 7B parameter version called Llemma 7B.
Model inputs and outputs
Inputs
- Text input for mathematical reasoning and problem-solving
Outputs
- Textual responses containing step-by-step computational reasoning and solutions to mathematical problems
Capabilities
llemma_34b excels at chain-of-thought mathematical reasoning and using computational tools like Python and formal theorem provers. On a range of mathematics tasks, it outperforms models like Llama-2, Code Llama, and even the larger Minerva model when controlling for model size.
What can I use it for?
llemma_34b can be used for a variety of mathematical applications, such as:
- Solving complex math word problems
- Generating step-by-step solutions to mathematical proofs
- Assisting with the use of computational tools like Python for numerical and symbolic mathematics
- Enhancing math education and tutoring by providing explanations and guidance
Things to try
Try prompting llemma_34b with open-ended math questions or problems that require a chain of reasoning. Observe how it breaks down the problem, uses appropriate mathematical concepts and tools, and provides a detailed, step-by-step solution. Its strong performance on these types of tasks makes it a valuable tool for advanced mathematics and research.
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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