Model Overview

The amityco/tau-max-ds-retail-sft is a 4 billion parameter language model developed by amityco. It is a fine-tuned variant of the Qwen3 architecture, specifically building upon the unsloth/Qwen3-4B-Thinking-2507 base model. This model was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library, which facilitated a significantly faster training process.

Key Characteristics

• Architecture: Qwen3-based causal language model.
• Parameter Count: 4 billion parameters.
• Context Length: Supports a context window of 32768 tokens.
• Training Efficiency: Fine-tuned with Unsloth, enabling 2x faster training compared to standard methods.

Potential Use Cases

This model is suitable for a range of natural language processing tasks where a 4B parameter model with a substantial context window is beneficial. Its Qwen3 foundation suggests capabilities in areas such as:

• Text generation and completion.
• Summarization.
• Question answering.
• General conversational AI applications.