kairawal/Llama-3.1-8B-Instruct-EN-SynthDolly-r16alpha32-E1-S73
The kairawal/Llama-3.1-8B-Instruct-EN-SynthDolly-r16alpha32-E1-S73 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, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging its Llama 3.1 architecture and a 32768 token context length.
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Model Overview
kairawal/Llama-3.1-8B-Instruct-EN-SynthDolly-r16alpha32-E1-S73 is an 8 billion parameter instruction-tuned language model developed by kairawal. 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 training methodology allowed for a 2x speedup in the fine-tuning process.
Key Capabilities
- Instruction Following: Designed to accurately follow user instructions for a wide range of tasks.
- Efficient Training: Benefits from the Unsloth library's optimizations, enabling faster fine-tuning.
- Llama 3.1 Foundation: Built upon the robust and capable Llama 3.1 base model.
- Extended Context: Features a 32768 token context window, suitable for processing longer inputs and maintaining conversational coherence.
Good For
- General-purpose instruction-following applications.
- Developers seeking a Llama 3.1-based model with efficient fine-tuning origins.
- Tasks requiring a substantial context window for detailed interactions.