Stanford Alpaca vs StarCoder
Overview
🔥 Trending in Text & Language Models on StackShare
Detailed Comparison
It is a language model (LM) trained on source code and natural language text. Its training data incorporates more than 80 different programming languages as well as text extracted from GitHub issues and commits and from notebooks. | It is a model fine-tuned from the LLaMA 7B model on 52K instruction-following demonstrations. It behaves qualitatively similarly to OpenAI’s text-davinci-003, while being surprisingly small and easy/cheap to reproduce. |
Trained on source code and natural language text;
Can be used to perform code generation | Instruction-following model;
Fine-tuned from a 7B LLaMA model on 52K instruction-following data
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Statistics | |
GitHub Stars 7.5K | GitHub Stars 30.2K |
GitHub Forks 529 | GitHub Forks 4.0K |
Stacks 0 | Stacks 0 |
Followers 1 | Followers 0 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to StarCoder, Stanford Alpaca?
Grok-1
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Grok 4
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OpenAI
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Cohere.com
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Mistral 7B
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