How to Merge Llama3 Using MergeKit

Meta has launched Llama-3, an advanced large language model, offering 8B and 70B parameter variants in both Instruct and Base formats, trained on 15 trillion tokens and refined with 10 million human-annotated samples. The Llama-3-70B model has achieved over 80% on the MMLU benchmark, making it the leading open large language model, while the Instruct variants demonstrate significant coding proficiency, scoring 62.2% and 81.7% on the HumanEval coding benchmark. It features a Tiktoken-based tokenizer with a 128k vocabulary size and a context window of 8,192, extendable if necessary, and employs various alignment techniques such as SFT, PPO, and DPO. Fully available for commercial use, Llama-3 is hosted on Hugging Face, and Arcee's MergeKit is being used to test the merging capabilities of this model, showcasing the seamless integration and adaptability of MergeKit with Llama-3 variants. The process involves setting up servers, authenticating with Hugging Face, and creating and running configurations for merging, ultimately enabling the creation and deployment of new merged models on the Hugging Face hub.

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