alibidaran/Zigroo-Mental_consultant2-merged
The alibidaran/Zigroo-Mental_consultant2-merged is an 8 billion parameter Qwen3-based causal language model developed by alibidaran. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging the Qwen3 architecture for robust performance.
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Model Overview
alibidaran/Zigroo-Mental_consultant2-merged is an 8 billion parameter language model based on the Qwen3 architecture. It was developed by alibidaran and fine-tuned using the Unsloth framework in conjunction with Huggingface's TRL library, which facilitated a significantly faster training process. The model operates under an Apache-2.0 license.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen3-8B-unsloth-bnb-4bit. - Training Efficiency: Leverages Unsloth for 2x faster fine-tuning.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a context length of 32768 tokens.
Potential Use Cases
This model is suitable for a variety of natural language processing tasks where the Qwen3 architecture's capabilities are beneficial, especially in scenarios requiring efficient deployment due to its Unsloth-optimized training.