amityco/amax-sigma-scratch-sft Overview

The amityco/amax-sigma-scratch-sft is a 4 billion parameter language model based on the Qwen3 architecture, developed by amityco. This model was specifically finetuned using the Unsloth library in conjunction with Huggingface's TRL library, which enabled a 2x acceleration in its training process. It supports a substantial context length of 40960 tokens, allowing it to process and generate longer sequences of text.

Key Capabilities

• Qwen3 Architecture: Leverages the robust Qwen3 base model for strong language understanding and generation.
• Efficient Finetuning: Benefits from finetuning with Unsloth, resulting in faster training times.
• Extended Context Window: Features a 40960-token context length, ideal for tasks requiring deep contextual awareness.

Good For

• Applications needing a 4B parameter model with an extended context window.
• Projects where efficient finetuning methods are a priority.
• Tasks that can benefit from the Qwen3 model's capabilities.