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A modern Python-based MySQL backup tool with flexible archiving, multi-channel notifications (Telegram, Email, SMS, etc.), remote uploads (SFTP, FTP, SCP), and robust configuration validation.
This is a lightweight Decoder-Only language model with only 27MB of parameters, optimized for efficient text generation. It features multi-head attention, rotary embeddings, RMSNorm, and KV-cache, supporting fast inference and token generation.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A research sandbox for LLM pretraining, fine-tuning (SFT, DPO, RLHF), and alignment techniques. Designed for developing LLM-based solutions in computational biology.