kairawal/Llama-3.1-8B-Instruct-DA-SynthDolly-1A-E1
kairawal/Llama-3.1-8B-Instruct-DA-SynthDolly-1A-E1 is an 8 billion parameter instruction-tuned Llama 3.1 model developed by kairawal, fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture with a 32768 token context length.
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Model Overview
kairawal/Llama-3.1-8B-Instruct-DA-SynthDolly-1A-E1 is an 8 billion parameter instruction-tuned model developed by kairawal. It is fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, inheriting its Llama 3.1 architecture and a substantial 32768 token context length.
Training Details
This model distinguishes itself through its optimized training process. It was trained 2x faster using the Unsloth library in conjunction with Huggingface's TRL library. This approach allows for efficient fine-tuning, making it a practical choice for developers seeking performance without extensive training times.
Key Characteristics
- Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
- Parameter Count: 8 billion parameters.
- Context Length: Supports a 32768 token context window.
- Training Efficiency: Utilizes Unsloth for accelerated training.
Intended Use
This model is suitable for a wide range of instruction-following applications, benefiting from the robust capabilities of the Llama 3.1 series and its efficient fine-tuning. Its optimized training makes it a good candidate for projects where rapid iteration and deployment are important.