kairawal/Llama-3.2-3B-Instruct-TL-SynthDolly-r16alpha32-E3-S73
kairawal/Llama-3.2-3B-Instruct-TL-SynthDolly-r16alpha32-E3-S73 is a 3.2 billion parameter instruction-tuned Llama model, developed by kairawal, with a 32768 token context length. This model was fine-tuned from unsloth/llama-3.2-3b-Instruct using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is optimized for applications requiring efficient instruction following within a substantial context window.
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Model Overview
kairawal/Llama-3.2-3B-Instruct-TL-SynthDolly-r16alpha32-E3-S73 is a 3.2 billion parameter instruction-tuned language model, fine-tuned by kairawal. It is based on the unsloth/llama-3.2-3b-Instruct architecture and features a substantial context length of 32768 tokens.
Key Characteristics
- Efficient Training: This model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Instruction Following: As an instruction-tuned model, it is designed to understand and execute user prompts effectively.
- Extended Context: With a 32768 token context window, it can process and generate longer sequences of text, making it suitable for tasks requiring extensive contextual understanding.
Ideal Use Cases
This model is well-suited for developers looking for a compact yet capable Llama-based model that:
- Requires strong instruction-following abilities.
- Benefits from a large context window for complex tasks.
- Leverages efficient training methodologies for potential further fine-tuning or deployment.