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.