# Complex Instruction Understanding

Qwen2.5-14B-Instruct is a 14 billion parameter instruction fine-tuned large language model based on the Qwen2.5 architecture, optimized on the s1K dataset.

OpenCerebrum-1.0-7b-SFT is a statically quantized model based on Locutusque/OpenCerebrum-1.0-7b-SFT, supporting multiple quantization versions, suitable for text generation and Q&A tasks in fields such as code generation, mathematics, chemistry, and biology.

A model fine-tuned based on Qwen-2 72B Instruct, aiming to replicate the prose quality of Claude 3 models

This is a quantized version of WizardLM-2-7B using llama.cpp, based on orthogonalized bfloat16 safetensor weight processing, supporting multi-turn dialogues.

WizardLM-2-8x22B-GGUF is the GGUF quantized version of Microsoft's WizardLM-2-8x22B model, supporting multiple bit quantizations, suitable for text generation tasks.

Dolphin Llama 13B is an uncensored language model based on the Llama 1 architecture, focused on providing compliant responses and suitable for adding personalized alignment layers.