Pranjalps1/qwen3.5-4b-vllm_finetune
Pranjalps1/qwen3.5-4b-vllm_finetune is a 4.5 billion parameter language model developed by Pranjalps1, fine-tuned from unsloth/Qwen3.5-4B. It was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is suitable for applications requiring efficient deployment of a Qwen3.5-based model.
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Overview
Pranjalps1/qwen3.5-4b-vllm_finetune is a 4.5 billion parameter language model developed by Pranjalps1. This model is a fine-tuned version of unsloth/Qwen3.5-4B, leveraging the Unsloth library for accelerated training. The fine-tuning process was conducted using Unsloth, which is known for enabling significantly faster training times, specifically noted as 2x faster in this instance, in conjunction with Huggingface's TRL library.
Key Capabilities
- Efficient Training: Utilizes Unsloth for 2x faster fine-tuning.
- Qwen3.5 Base: Built upon the Qwen3.5-4B architecture.
- Deployment Ready: Suitable for applications requiring a fine-tuned Qwen3.5 model.
Good for
- Developers looking for a Qwen3.5-based model that has undergone an optimized fine-tuning process.
- Applications where the efficiency of the training pipeline is a key consideration.
- Experimentation with models fine-tuned using Unsloth's acceleration techniques.