MCult01/glm-muse-clean-v1
MCult01/glm-muse-clean-v1 is a 9 billion parameter language model developed by MCult01, finetuned from THUDM/GLM-4-9B-0414. It features a 32768 token context length and was trained using Unsloth and Huggingface's TRL library, achieving a 2x speedup in training. This model is designed for general language understanding and generation tasks, leveraging its efficient training methodology.
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Overview
MCult01/glm-muse-clean-v1 is a 9 billion parameter language model developed by MCult01, building upon the THUDM/GLM-4-9B-0414 base model. It boasts a substantial 32768 token context length, making it suitable for processing longer inputs and generating more coherent, extended outputs. A key differentiator for this model is its training efficiency: it was finetuned 2x faster by utilizing the Unsloth library in conjunction with Huggingface's TRL library.
Key Capabilities
- Efficiently Finetuned: Benefits from a 2x speedup in training due to the use of Unsloth and Huggingface TRL.
- Large Context Window: Supports a 32768 token context, enabling processing of extensive documents and conversations.
- General Language Tasks: Capable of various language understanding and generation applications.
Good for
- Developers seeking a 9B parameter model with a large context window.
- Applications requiring efficient finetuning processes.
- Tasks benefiting from a model trained with optimized methodologies.