sanjikiren/interview-coach-llama3-8b
The sanjikiren/interview-coach-llama3-8b is an 8 billion parameter instruction-tuned causal language model developed by sanjikiren. Finetuned from unsloth/llama-3-8b-Instruct-bnb-4bit, this model was trained using Unsloth and Huggingface's TRL library for accelerated performance. It is specifically optimized for interview coaching applications, leveraging its Llama 3 architecture and 8192 token context length to provide relevant and detailed responses.
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Model Overview
The sanjikiren/interview-coach-llama3-8b is an 8 billion parameter instruction-tuned language model, developed by sanjikiren. It is built upon the Llama 3 architecture, specifically finetuned from unsloth/llama-3-8b-Instruct-bnb-4bit.
Key Characteristics
- Architecture: Based on the Llama 3 family, known for strong performance across various NLP tasks.
- Parameter Count: Features 8 billion parameters, offering a balance between capability and computational efficiency.
- Context Length: Supports an 8192 token context window, allowing for processing and generating longer, more coherent responses.
- Training Efficiency: The model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training times.
Primary Use Case
This model is specifically designed and optimized for interview coaching. Its instruction-tuned nature makes it suitable for generating advice, answering common interview questions, and providing feedback relevant to job interviews.