koutch/qwen_2.json_train_grpo_v1_train_code
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Feb 3, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The koutch/qwen_2.json_train_grpo_v1_train_code is a 4 billion parameter Qwen3-based language model developed by koutch, fine-tuned from unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit. It was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. This model is optimized for general instruction-following tasks, leveraging its efficient training methodology to provide a capable and accessible solution.
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Overview
koutch/qwen_2.json_train_grpo_v1_train_code is a 4 billion parameter language model, fine-tuned by koutch. It is based on the Qwen3 architecture and was specifically trained from the unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit model.
Key Capabilities
- Efficient Training: This model was trained 2x faster by leveraging Unsloth and Huggingface's TRL library, making it a cost-effective and time-efficient solution for instruction-following tasks.
- Qwen3 Foundation: Built upon the robust Qwen3 architecture, it inherits strong general language understanding and generation capabilities.
Good for
- Developers seeking a 4B parameter model with an efficient training history.
- Applications requiring a capable instruction-tuned model for various natural language processing tasks.
- Experimentation with models fine-tuned using Unsloth for faster iteration cycles.