airev-ai/Amal-70b-v2

Amal-70b-v2 is a 72.7 billion parameter language model developed by airev-ai, featuring a substantial context length of 131072 tokens. This model is designed for general language understanding and generation tasks, leveraging its large parameter count and extensive context window for complex reasoning and detailed responses. Its architecture supports a wide range of applications requiring deep comprehension and coherent text output.