azwar3482/chatbot-kompaskarir0indonesia
azwar3482/chatbot-kompaskarir0indonesia is an 8 billion parameter Llama-3 based instruction-tuned model developed by azwar3482. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for chatbot applications, leveraging its Llama-3 foundation for conversational tasks.
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Model Overview
azwar3482/chatbot-kompaskarir0indonesia is an 8 billion parameter instruction-tuned model, developed by azwar3482. It is built upon the Llama-3 architecture and was fine-tuned from unsloth/llama-3-8b-Instruct-bnb-4bit.
Key Characteristics
- Architecture: Based on the Llama-3 8B Instruct model.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a context length of 8192 tokens.
Use Cases
This model is primarily intended for chatbot applications, leveraging its instruction-tuned nature and Llama-3 foundation to handle conversational interactions effectively. Its efficient training process suggests potential for rapid iteration and deployment in similar use cases.