dphn/dolphin-2.9.2-qwen2-72b

Dolphin 2.9.2 Qwen2 72B is a 72.7 billion parameter instruction-tuned language model developed by Eric Hartford, Lucas Atkins, Fernando Fernandes, and Cognitive Computations, based on the Qwen2-72B architecture. It features a 128k context window in its base model, fine-tuned with an 8k sequence length, and is designed for a variety of instruction, conversational, and coding tasks. This model also incorporates initial agentic abilities and supports function calling, while being uncensored for maximum compliance.