Model Overview

The shopifyinterngrinder/sidekick-autocomplete-06b-sft-real model is a specialized language model, fine-tuned from the Qwen/Qwen3-0.6B base model. It utilizes the TRL library for Supervised Fine-Tuning (SFT) to adapt its capabilities for specific applications.

Key Training Details

This model underwent focused training on the shopifyinterngrinder/sidekick-autocomplete-data-real dataset, comprising 13,565 training examples and 1,508 validation examples. The training process involved:

• Base Model: Qwen/Qwen3-0.6B
• Epochs: 3
• Learning Rate: 2e-05
• Max Sequence Length: 512 tokens
• Precision: bf16
• Optimizer: adamw_torch_fused

Intended Use

Given its fine-tuning on a dedicated autocomplete dataset, this model is primarily designed for tasks requiring efficient and accurate autocomplete suggestions. Its relatively small size (0.8B parameters) combined with specialized training makes it suitable for integration into applications where quick, context-aware completions are crucial.