CodeLlama-7b-Instruct-hf

Maintainer: codellama

Total Score

186

Last updated 5/28/2024

🔎

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

CodeLlama-7b-Instruct-hf is a 7 billion parameter large language model developed by codellama that has been fine-tuned for code generation and conversational tasks. It is part of the Code Llama family of models, which range in size from 7 billion to 34 billion parameters. The Meta-Llama-3-8B-Instruct and Meta-Llama-3-70B-Instruct are similar large language models developed by Meta that have also been optimized for dialogue and safety.

Model inputs and outputs

CodeLlama-7b-Instruct-hf is an autoregressive language model that takes in text as input and generates text as output. It can handle a wide range of natural language tasks such as code generation, text completion, and open-ended conversation.

Inputs

  • Natural language text

Outputs

  • Generated natural language text
  • Generated code

Capabilities

CodeLlama-7b-Instruct-hf can assist with a variety of tasks including code completion, code infilling, following instructions, and general language understanding. It has been shown to perform well on benchmarks for programming and dialogue applications.

What can I use it for?

The CodeLlama-7b-Instruct-hf model can be used for a wide range of applications that require natural language processing and generation, such as code assistants, chatbots, and text generation tools. Developers can fine-tune the model further on domain-specific data to customize it for their needs.

Things to try

Some interesting things to try with CodeLlama-7b-Instruct-hf include prompting it to engage in open-ended dialogue, asking it to explain complex programming concepts, or using it to generate novel code snippets. Developers should keep in mind the model's capabilities and limitations when designing their applications.



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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