MaziyarPanahi/calme-2.3-qwen2-7b

MaziyarPanahi/calme-2.3-qwen2-7b is a 7.6 billion parameter causal language model, fine-tuned by MaziyarPanahi from the Qwen/Qwen2-7B architecture. This model aims to enhance the base Qwen2-7B performance across various benchmarks, demonstrating an average score of 22.74 on the Open LLM Leaderboard. With a substantial context length of 131072 tokens, it is optimized for general-purpose language tasks and improved reasoning capabilities.