ganesh714/arq_m1_chairs_DS_r1_Q7
The ganesh714/arq_m1_chairs_DS_r1_Q7 is a 7.6 billion parameter Qwen2 model developed by ganesh714. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is based on the unsloth/deepseek-r1-distill-qwen-7b-unsloth-bnb-4bit architecture and is optimized for efficient deployment and performance.
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Model Overview
The ganesh714/arq_m1_chairs_DS_r1_Q7 is a 7.6 billion parameter Qwen2 language model, fine-tuned by ganesh714. This model leverages the unsloth/deepseek-r1-distill-qwen-7b-unsloth-bnb-4bit as its base architecture.
Key Characteristics
- Efficient Training: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Parameter Count: With 7.6 billion parameters, it offers a balance between performance and computational efficiency.
- Context Length: The model supports a context length of 32768 tokens, allowing it to process and generate longer sequences of text.
Use Cases
This model is suitable for applications requiring a Qwen2-based language model that benefits from optimized training and efficient inference. Its 7.6B parameter size makes it a good candidate for tasks where larger models might be too resource-intensive, while still providing robust language understanding and generation capabilities.