MCult01/glm-muse-elite-v1
TEXT GENERATIONConcurrency Cost:1Model Size:9BQuant:FP8Ctx Length:32kPublished:Apr 26, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
MCult01/glm-muse-elite-v1 is a 9 billion parameter GLM-4 model developed by MCult01, fine-tuned from THUDM/GLM-4-9B-0414. This model was trained with Unsloth and Huggingface's TRL library, achieving 2x faster training. It offers a 32768 token context length, making it suitable for applications requiring efficient processing of long sequences.
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MCult01/glm-muse-elite-v1: An Efficiently Fine-Tuned GLM-4 Model
MCult01/glm-muse-elite-v1 is a 9 billion parameter language model developed by MCult01. It is a fine-tuned version of the THUDM/GLM-4-9B-0414 base model, leveraging the GLM-4 architecture known for its strong performance.
Key Capabilities & Features
- Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- GLM-4 Architecture: Built upon the robust GLM-4 foundation, it inherits the general capabilities of this model family.
- Context Length: Supports a substantial context window of 32768 tokens, enabling it to handle complex and lengthy inputs.
Good For
- Applications requiring efficient fine-tuning: Developers looking to quickly adapt a powerful base model for specific tasks.
- Tasks benefiting from long context: Its 32768 token context length makes it suitable for summarization, detailed question answering, and code analysis over extensive documents.
- General language generation: As a GLM-4 derivative, it is well-suited for a wide range of natural language processing tasks.