amityco/amax-sigma-scratch-sft
The amityco/amax-sigma-scratch-sft is a 4 billion parameter Qwen3-based causal language model, developed by amityco. This model was finetuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It features a 40960 token context length, making it suitable for tasks requiring extensive contextual understanding.
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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.