lyw02/qwen3-0.6b-4bit-sft-only-400-full-16bit
TEXT GENERATIONConcurrency Cost:1Model Size:0.8BQuant:BF16Ctx Length:32kPublished:Apr 5, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The lyw02/qwen3-0.6b-4bit-sft-only-400-full-16bit is a 0.8 billion parameter Qwen3 model developed by lyw02. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its compact size and efficient training methodology.
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Overview
This model, developed by lyw02, is a fine-tuned version of the Qwen3-0.6B base model. It was specifically trained using the Unsloth framework in conjunction with Huggingface's TRL library, which facilitated a 2x faster training process. The model operates with 0.8 billion parameters and has a context length of 32768 tokens.
Key Capabilities
- Efficient Training: Leverages Unsloth for significantly faster fine-tuning.
- Qwen3 Architecture: Based on the Qwen3 model family, providing a robust foundation for language understanding and generation.
- Compact Size: With 0.8 billion parameters, it offers a balance between performance and resource efficiency.
Good For
- Applications requiring a smaller, efficiently trained language model.
- Scenarios where rapid fine-tuning and deployment are beneficial.
- General language tasks that can be handled by a 0.8B parameter model.