kreynolds319/slm-trainer
The kreynolds319/slm-trainer is a 2 billion parameter Qwen3 model, fine-tuned by kreynolds319, leveraging Unsloth and Huggingface's TRL library for accelerated training. This model benefits from 2x faster training speeds compared to standard methods. It is designed for general language tasks, building upon the Qwen3 architecture.
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Model Overview
The kreynolds319/slm-trainer is a 2 billion parameter Qwen3 model, fine-tuned by kreynolds319. This model was developed using the Unsloth library in conjunction with Huggingface's TRL library, which enabled a significant acceleration in its training process.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/qwen3-1.7b-unsloth-bnb-4bit. - Training Efficiency: Achieves 2x faster training speeds due to the integration of Unsloth.
- Parameter Count: Features 2 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a context length of 32768 tokens.
Use Cases
This model is suitable for various natural language processing tasks where the Qwen3 architecture is beneficial, particularly for applications requiring a model that has undergone efficient fine-tuning. Its optimized training process makes it a good candidate for developers looking for a performant model without extensive training overhead.