MCult01/glm-muse-v2
TEXT GENERATIONConcurrency Cost:1Model Size:9BQuant:FP8Ctx Length:32kPublished:Apr 10, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
MCult01/glm-muse-v2 is a 9 billion parameter language model developed by MCult01, finetuned from THUDM/GLM-4-9B-0414. 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, leveraging its efficient training methodology.
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MCult01/glm-muse-v2: Efficiently Finetuned GLM-4-9B
MCult01/glm-muse-v2 is a 9 billion parameter language model developed by MCult01, building upon the robust THUDM/GLM-4-9B-0414 architecture. This model distinguishes itself through its highly optimized training process, utilizing Unsloth and Huggingface's TRL library, which enabled a 2x faster finetuning compared to standard methods.
Key Capabilities
- Efficient Training: Leverages Unsloth for significantly accelerated finetuning.
- GLM-4 Foundation: Benefits from the strong base capabilities of the GLM-4-9B model.
- General Language Tasks: Suitable for a wide range of natural language processing applications.
Good For
- Developers seeking a performant 9B parameter model with an Apache-2.0 license.
- Use cases requiring a model finetuned with advanced, speed-optimized techniques.
- Applications where the underlying GLM-4 architecture is a preferred choice.