Diet-Panda/huginn-cs-tutor-v1
Diet-Panda/huginn-cs-tutor-v1 is a 7.6 billion parameter Qwen2.5-Instruct model developed by Diet-Panda, fine-tuned from unsloth/Qwen2.5-7B-Instruct-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for instructional tasks, leveraging its Qwen2.5 base for robust language understanding and generation.
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Model Overview
Diet-Panda/huginn-cs-tutor-v1 is a 7.6 billion parameter language model developed by Diet-Panda. It is a fine-tuned variant of the unsloth/Qwen2.5-7B-Instruct-bnb-4bit base model, leveraging the Qwen2.5 architecture for its capabilities.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen2.5-7B-Instruct-bnb-4bit. - Training Efficiency: The model was trained with Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Parameter Count: Features 7.6 billion parameters, offering a balance between performance and computational efficiency.
- License: Distributed under the Apache-2.0 license.
Intended Use
This model is suitable for applications requiring an instruction-tuned language model, particularly benefiting from the Qwen2.5 architecture's strengths. Its efficient training process suggests potential for rapid iteration and deployment in various NLP tasks.