TheBloke/CodeLlama-7B-Instruct-fp16
TheBloke/CodeLlama-7B-Instruct-fp16 is a 7 billion parameter instruction-tuned causal language model developed by Meta, based on the Code Llama architecture. This model is specifically designed for instruction following in code assistant and generation applications, supporting up to 100K tokens at inference time. It excels at code synthesis and understanding, making it suitable for various programming tasks.
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CodeLlama 7B-Instruct-fp16 Overview
This model is a 7 billion parameter instruction-tuned variant of Meta's Code Llama, provided in fp16 format by TheBloke. It is built upon an optimized transformer architecture and is specifically fine-tuned for instruction following, aiming for safer deployment in code assistant and generation applications. While the base Code Llama models are designed for general code synthesis, this Instruct variant focuses on responding to programming-related instructions.
Key Capabilities
- Instruction Following: Optimized for understanding and executing programming-related instructions.
- Code Synthesis & Understanding: Excels at generating and interpreting code.
- Extended Context Window: Supports up to 100K tokens at inference time, allowing for processing larger codebases or complex prompts.
- Meta-Developed: Part of the Code Llama family, developed by Meta AI.
Good for
- Code assistant tools requiring instruction adherence.
- Generating code snippets based on natural language prompts.
- Understanding and explaining existing code structures.
- Research and commercial use in English and relevant programming languages.