MCult01/glm-muse-v7
TEXT GENERATIONConcurrency Cost:1Model Size:9BQuant:FP8Ctx Length:32kPublished:Apr 30, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
MCult01/glm-muse-v7 is a 9 billion parameter language model developed by MCult01, finetuned from MCult01/glm-muse-v5. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language understanding and generation tasks, offering efficient performance due to its optimized training process.
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Overview
MCult01/glm-muse-v7 is a 9 billion parameter language model developed by MCult01, building upon the MCult01/glm-muse-v5 base model. This iteration focuses on enhanced training efficiency, utilizing the Unsloth library in conjunction with Huggingface's TRL library to achieve a 2x faster training speed.
Key Capabilities
- Efficient Training: Leverages Unsloth for significantly accelerated finetuning.
- General Language Tasks: Suitable for a broad range of natural language processing applications.
- Apache-2.0 Licensed: Provides flexibility for commercial and research use.
Good for
- Developers seeking a 9B parameter model with optimized training characteristics.
- Applications requiring efficient language generation and understanding.
- Projects benefiting from an Apache-2.0 licensed model.