Code Llama 70B

An Open-Source Code Generation Model

CommonProductOpenSourceOpen SourceCode Generation

Code Llama 70B is a large-scale open-source code generation language model capable of generating code in multiple programming languages based on natural language prompts or existing code snippets. Built on the general language model Llama 2 with 17.5 billion parameters, it has been fine-tuned specifically for code generation tasks and can efficiently and accurately generate code in languages such as Python, C++, and Java. In人工评估基准测试中，Code Llama 70B achieved a score of 67.8, surpassing the performance of previous open-source models and comparable to patented models. Its powerful code generation capabilities can enhance programming efficiency, reduce the threshold for coding, and inspire more innovative applications.

Generate code from natural language prompts
Extend code generation from existing code snippets
Translate code between different languages
Summarize
debug
and document code
Support major languages such as Python
C++
Java
and more

辅助编程
提高编程效率
降低编程门槛
实现代码转换
开发代码相关应用

A natural language description of a sorting algorithm prompts Code Llama 70B to generate corresponding Python code.
Input an existing Python code snippet
and Code Llama 70B can complete the additional code.
Input a C++ code snippet
and Code Llama 70B can generate corresponding Java code.

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Code Llama 70B Visit Over Time

Monthly Visits

2429216

Bounce Rate

63.07%

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1.8

Visit Duration

00:01:38

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Code Llama 70B Traffic Sources

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Qwen2.5-Coder-1.5B-Instruct-GGUF — The Qwen2.5-Coder series features a 1.5B parameter instruction-tuned model.

Qwen2.5-Coder-0.5B — The 0.5B parameter code generation model in the Qwen2.5-Coder series.

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Qwen2.5-Coder-14B-Instruct — A 14 billion parameter code generation model in the Qwen2.5-Coder series.

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Awesome ChatGPT Prompts — A collection of prompts for interacting with the ChatGPT model

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OpenVoiceChat — Engage in natural voice conversations with large language models.

fact-finder — An intelligent question-answering system based on knowledge graphs.

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