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It is free for both research and commercial use. :)\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-ratio=\"0.5625579240037072\" data-s=\"300,640\" data-type=\"gif\" data-w=\"1079\" style=\"\" src=\"./assets/17434959224260.33311578859198465.gif\">\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">Don't look at the ads, look at the results (the higher the score, the better the effect):\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"1.2207792207792207\" data-s=\"300,640\" data-type=\"png\" data-w=\"1078\" style=\"\" src=\"./assets/17434959220560.35963009601327234.png\">\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">Code Llama was previously introduced as the code-specific version of Llama 2, supporting all mainstream programming languages, including Python, C++, Java, PHP, Typescript (Javascript), C#, Bash, etc.\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">It was trained on 500B tokens of code and code-related data, with three sub-models and two branches:\u003C/p>\u003Cul data-tool=\"mdnice编辑器\" style=\"margin-top: 8px;margin-bottom: 8px;padding-left: 25px;color: black;list-style-type: disc;\" class=\"list-paddingleft-1\">\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;text-align: left;color: rgb(1,1,1);font-weight: 500;\">The 7B model can run on a single GPU.\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;text-align: left;color: rgb(1,1,1);font-weight: 500;\">The 13B model is faster and more suitable for tasks that require low latency, such as real-time code completion.\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;text-align: left;color: rgb(1,1,1);font-weight: 500;\">The 34B model returns the best results and allows for better coding assistance.\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;text-align: left;color: rgb(1,1,1);font-weight: 500;\">Code Llama - Python has been further fine-tuned on 100 billion Python code tokens.\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;text-align: left;color: rgb(1,1,1);font-weight: 500;\">Code Llama - Instruct is a variant that has undergone instruction fine-tuning and alignment. 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