Model Overview

The ahmadhasan/deepseek-r1-sft is a 7.6 billion parameter language model, fine-tuned by ahmadhasan. It is based on the Qwen2 architecture, specifically finetuned from unsloth/deepseek-r1-distill-qwen-7b-unsloth-bnb-4bit.

Key Characteristics

• Architecture: Qwen2-based causal language model.
• Parameter Count: 7.6 billion parameters.
• Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
• Context Length: Supports a context window of 32768 tokens.

Potential Use Cases

This model is suitable for a variety of natural language processing tasks, particularly those benefiting from its Qwen2 foundation and efficient fine-tuning. Its 7.6B parameter size makes it a capable option for applications requiring a balance between performance and computational resources.