Model Overview

The koutch/qwenb_qwen3-8b_train_sft_train_code is an 8 billion parameter language model developed by koutch. It is based on the Qwen3 architecture and was fine-tuned from unsloth/qwen3-8b-unsloth-bnb-4bit.

Key Characteristics

• Architecture: Qwen3-based causal language model.
• Parameter Count: 8 billion parameters.
• Training Efficiency: Fine-tuned with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
• Context Length: Supports a context length of 32768 tokens.

Intended Use

This model is suitable for a variety of general language generation and understanding tasks, benefiting from its Qwen3 foundation and efficient fine-tuning methodology.