oscarz511/oscar-zhou-style-v3-full
The oscarz511/oscar-zhou-style-v3-full is an 8 billion parameter Llama 3.1-based causal language model developed by oscarz511. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language generation tasks, leveraging the Llama 3.1 architecture for robust performance.
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Overview
The oscarz511/oscar-zhou-style-v3-full is an 8 billion parameter language model developed by oscarz511. It is based on the Meta-Llama-3.1-8B-Instruct architecture and was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library. This specific training methodology allowed for a 2x speedup in the fine-tuning process.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit. - Training Efficiency: Utilizes Unsloth for accelerated fine-tuning, achieving 2x faster training times.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports an 8192-token context window.
Use Cases
This model is suitable for various natural language processing tasks where a Llama 3.1-based instruction-tuned model is beneficial. Its efficient fine-tuning process suggests it could be a good candidate for applications requiring custom instruction-following capabilities derived from the Llama 3.1 family.