didula-wso2/qwen3_swe_local_ep2sft_16bit_vllm
The didula-wso2/qwen3_swe_local_ep2sft_16bit_vllm is an 8 billion parameter Qwen3 model developed by didula-wso2, fine-tuned from didula-wso2/Qwen3-8B-rl530_with_think_knowledge_merged. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient training methodology.
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Model Overview
This model, didula-wso2/qwen3_swe_local_ep2sft_16bit_vllm, is an 8 billion parameter Qwen3-based language model developed by didula-wso2. It has been fine-tuned from the didula-wso2/Qwen3-8B-rl530_with_think_knowledge_merged base model.
Key Characteristics
- Architecture: Based on the Qwen3 model family.
- Parameter Count: 8 billion parameters.
- Training Efficiency: The model was trained with Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is suitable for a variety of general language understanding and generation tasks, benefiting from its Qwen3 foundation and efficient fine-tuning. Its optimized training process suggests potential for applications where rapid iteration or deployment of fine-tuned models is beneficial.