smsk1999/qwen25-7b-profiling-agent-merged-v1
The smsk1999/qwen25-7b-profiling-agent-merged-v1 is a 7.6 billion parameter Qwen2.5 model, fine-tuned by smsk1999 from unsloth/Qwen2.5-7B-Instruct-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its Qwen2.5 architecture and efficient fine-tuning process.
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Model Overview
The smsk1999/qwen25-7b-profiling-agent-merged-v1 is a 7.6 billion parameter language model, fine-tuned by smsk1999. It is based on the Qwen2.5 architecture, specifically fine-tuned from unsloth/Qwen2.5-7B-Instruct-bnb-4bit.
Key Characteristics
- Base Model: Qwen2.5-7B-Instruct
- Parameter Count: 7.6 billion parameters
- Training Efficiency: Fine-tuned with Unsloth and Huggingface's TRL library, enabling 2x faster training compared to standard methods.
- Context Length: Supports a context length of 32768 tokens.
Intended Use Cases
This model is suitable for a broad range of natural language processing tasks, benefiting from its Qwen2.5 foundation and efficient fine-tuning. Its optimized training process suggests potential for applications where rapid iteration or deployment of Qwen2.5-based models is beneficial.