zycalice/qwen-orig-chem-sof
The zycalice/qwen-orig-chem-sof is a 32.8 billion parameter Qwen2 model, developed by zycalice and finetuned from unsloth/Qwen2.5-32B-Instruct. This model was specifically trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for applications requiring a large language model with efficient training characteristics, particularly within the Qwen2 architecture.
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Model Overview
The zycalice/qwen-orig-chem-sof is a 32.8 billion parameter Qwen2 model, developed by zycalice. It is finetuned from the unsloth/Qwen2.5-32B-Instruct base model.
Key Characteristics
- Architecture: Qwen2, a causal language model.
- Parameter Count: 32.8 billion parameters.
- Training Efficiency: This model was trained 2x faster by leveraging the Unsloth library in conjunction with Huggingface's TRL library.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is suitable for developers and researchers looking for a large-scale Qwen2-based instruction-tuned model that benefits from optimized training methodologies. Its efficient training process makes it a good candidate for applications where rapid iteration or deployment of large language models is beneficial.