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methil-group
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Model Details
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methil-group
Model Tree
unsloth/Qwen3.5-9B
Input Modalities
Output Modalities
Supported Functionality
This model was trained 2x faster using Unsloth combined with Hugging Face's TRL library. Unsloth allows for efficient fine-tuning of Large Language Models (LLMs) with significantly reduced VRAM usage and increased throughput.
The model was fine-tuned on the Hermes Agent Reasoning Traces dataset. This dataset focuses on enhancing the model's ability to perform complex reasoning steps, particularly in agentic workflows, by providing detailed traces of thought processes and decision-making paths.
This model is designed for:
This model is released under the Apache-2.0 license. Please refer to the base model's license and the dataset's license for any additional restrictions or requirements.