hai1710/Deepseek-Distill-7B-ProofWriter-sft
The hai1710/Deepseek-Distill-7B-ProofWriter-sft is a 7.6 billion parameter Qwen2 model, fine-tuned by hai1710. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is based on the unsloth/deepseek-r1-distill-qwen-7b-unsloth-bnb-4bit architecture and is optimized for specific tasks through its fine-tuning process.
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Model Overview
The hai1710/Deepseek-Distill-7B-ProofWriter-sft is a 7.6 billion parameter Qwen2 model, developed by hai1710. It is a fine-tuned version of the unsloth/deepseek-r1-distill-qwen-7b-unsloth-bnb-4bit base model.
Key Characteristics
- Architecture: Based on the Qwen2 model family.
- Parameter Count: Features 7.6 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to conventional methods.
- License: Distributed under the Apache-2.0 license, allowing for broad usage and modification.
Potential Use Cases
This model is suitable for applications requiring a capable language model with a moderate parameter count, especially where training efficiency is a priority due to its Unsloth-accelerated fine-tuning. Its specific fine-tuning (implied by "ProofWriter-sft" in the name, though not detailed in the README) suggests potential strengths in tasks related to logical reasoning or structured text generation, making it a candidate for specialized NLP applications.