MCult01/glm-muse-v8
TEXT GENERATIONConcurrency Cost:1Model Size:9BQuant:FP8Ctx Length:32kPublished:May 5, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
MCult01/glm-muse-v8 is a 9 billion parameter language model developed by MCult01, finetuned from MCult01/glm-muse-v7a. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x speed improvement during its finetuning process. It is designed for general language understanding and generation tasks, leveraging its efficient training methodology.
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Overview
MCult01/glm-muse-v8 is a 9 billion parameter language model developed by MCult01. It is a finetuned version of MCult01/glm-muse-v7a, indicating an iterative development approach. A key characteristic of this model's development is its training efficiency, having been finetuned 2x faster through the integration of Unsloth and Huggingface's TRL library.
Key Capabilities
- Efficiently Trained: Benefits from a finetuning process that was twice as fast due to Unsloth and TRL library integration.
- General Language Tasks: Suitable for a broad range of natural language processing applications.
Good For
- Developers seeking a 9B parameter model from the GLM family.
- Use cases where efficient training methodologies are a point of interest or advantage.
- Applications requiring a model with a 32K context length for processing longer inputs.