MCult01/glm-muse-v5
MCult01/glm-muse-v5 is a 9 billion parameter language model developed by MCult01, finetuned from MCult01/glm-muse-v4. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It features a 32768 token context length, making it suitable for tasks requiring extensive contextual understanding.
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Model Overview
MCult01/glm-muse-v5 is a 9 billion parameter language model developed by MCult01, building upon its predecessor, MCult01/glm-muse-v4. This iteration benefits from an optimized training process, having been finetuned with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training speed.
Key Characteristics
- Developer: MCult01
- Parameter Count: 9 billion
- Context Length: 32768 tokens
- Training Optimization: Utilizes Unsloth for accelerated finetuning.
- License: Apache-2.0
Potential Use Cases
Given its substantial context window and optimized training, glm-muse-v5 is well-suited for applications requiring:
- Processing and generating long-form content.
- Tasks benefiting from extensive contextual understanding.
- Scenarios where a 9B parameter model offers a balance between performance and computational efficiency.