importkk/openenv-onboarding-model
The importkk/openenv-onboarding-model is a 1.5 billion parameter Qwen2.5-based instruction-tuned causal language model developed by importkk. It was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is optimized for general instruction-following tasks, leveraging its efficient training methodology for practical applications.
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Model Overview
The importkk/openenv-onboarding-model is a 1.5 billion parameter instruction-tuned language model based on the Qwen2.5 architecture. Developed by importkk, this model was finetuned using the Unsloth library and Huggingface's TRL, which significantly accelerated its training process by a factor of two.
Key Characteristics
- Base Model: Qwen2.5-1.5B-Instruct
- Parameter Count: 1.5 billion
- Context Length: 32768 tokens
- Training Efficiency: Utilizes Unsloth for 2x faster finetuning.
- License: Apache-2.0
Use Cases
This model is suitable for a variety of general instruction-following tasks where a compact yet capable language model is required. Its efficient training process suggests a focus on practical deployment and rapid iteration for specific applications.