shuoxing/llama3-8b-full-pretrain-wash-c4-0-3m-sft-bs64
The shuoxing/llama3-8b-full-pretrain-wash-c4-0-3m-sft-bs64 model is an 8 billion parameter language model, fine-tuned from shuoxing/llama3-8b-full-pretrain-wash-c4-0-3m-bs4 on the alpaca_en dataset. This model is designed for general language understanding and generation tasks, leveraging a Llama 3 base architecture. It was trained with a learning rate of 1e-05 and a total batch size of 64 over 3 epochs, making it suitable for applications requiring a moderately sized, instruction-tuned LLM.
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Model Overview
This model, shuoxing/llama3-8b-full-pretrain-wash-c4-0-3m-sft-bs64, is an 8 billion parameter language model based on the Llama 3 architecture. It has been fine-tuned from the shuoxing/llama3-8b-full-pretrain-wash-c4-0-3m-bs4 base model.
Key Characteristics
- Base Model: Derived from a Llama 3 8B pre-trained variant.
- Fine-tuning: Instruction-tuned using the
alpaca_endataset, indicating its suitability for following instructions and generating human-like text. - Training Parameters: The fine-tuning process utilized a learning rate of 1e-05, a total batch size of 64 (with gradient accumulation), and was trained for 3 epochs. It employed the AdamW optimizer with a cosine learning rate scheduler.
Potential Use Cases
Given its instruction-tuned nature and Llama 3 foundation, this model is likely suitable for:
- General-purpose text generation.
- Instruction following tasks.
- Chatbot applications.
- Content creation and summarization in English.