Saif658/Saif-1.0
Saif658/Saif-1.0 is a 3 billion parameter conversational assistant fine-tuned by Saif658 from the Llama 3.2 3B Instruct base model. It was trained using QLoRA 4-bit on the Alpaca dataset for 500 steps. This model is designed for general chat and question answering tasks.
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Saif-1.0: A Fine-Tuned Conversational Assistant
Saif-1.0 is a 3 billion parameter language model developed by Saif658, built upon the unsloth/Llama-3.2-3B-Instruct base. It has been fine-tuned using QLoRA 4-bit over 500 steps on the yahma/alpaca-cleaned dataset, enhancing its capabilities as a conversational assistant. The model operates under an Apache 2.0 license.
Key Capabilities
- Conversational AI: Designed to engage in general chat interactions.
- Question Answering: Capable of providing answers to a variety of questions.
- Efficient Training: Utilizes QLoRA 4-bit for efficient fine-tuning.
Good For
- General chat applications.
- Basic question-answering systems.
Limitations
As a smaller 3 billion parameter model, Saif-1.0 may encounter difficulties with highly complex reasoning tasks or scenarios requiring a long context window.