MCult01/glm-muse-v7b
TEXT GENERATIONConcurrency Cost:1Model Size:9BQuant:FP8Ctx Length:32kPublished:May 1, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
MCult01/glm-muse-v7b is a 9 billion parameter language model developed by MCult01, finetuned from THUDM/GLM-4-9B-0414. This model was trained 2x faster using Unsloth and Huggingface's TRL library, offering efficient performance for its size. It features a 32768 token context length, making it suitable for tasks requiring extensive contextual understanding.
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MCult01/glm-muse-v7b: An Efficiently Finetuned GLM-4 Model
MCult01/glm-muse-v7b is a 9 billion parameter language model, finetuned by MCult01 from the THUDM/GLM-4-9B-0414 base model. This iteration focuses on training efficiency and performance.
Key Characteristics
- Base Model: Finetuned from THUDM/GLM-4-9B-0414, leveraging its robust architecture.
- Training Efficiency: Achieved 2x faster training speeds through the integration of Unsloth and Huggingface's TRL library, indicating an optimized training pipeline.
- Context Length: Supports a substantial context window of 32768 tokens, enabling it to process and generate longer sequences of text.
Good For
- Applications requiring a capable 9B parameter model with a large context window.
- Developers interested in models optimized for efficient finetuning processes.
- Tasks benefiting from the GLM-4 architecture's strengths, combined with enhanced training speed.