This is the quantized version of the LLM360/K2-Think model, dedicated to making knowledge spread more freely, adhering to the concept of 'Let knowledge be used by everyone'. This version optimizes the model size and inference efficiency through quantization technology.

Natural Language ProcessingGguf

Guru-7B is a reinforcement learning reasoning model based on Qwen2.5-7B, proposed in the paper 'Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective'. This model demonstrates excellent reasoning abilities in multiple domains such as mathematics, code, science, and logical reasoning, and performs well in multiple benchmark tests.

Natural Language ProcessingTransformers

K2 is a large language model with 65 billion parameters, surpassing Llama 2 70B with a 35% computational advantage through a fully transparent training approach.

Natural Language ProcessingTransformersEnglish

AmberSafe is a safety fine-tuned instruction model based on LLM360/AmberChat, belonging to the LLM360 Pebble series, focusing on providing secure text generation capabilities.

Natural Language ProcessingTransformersEnglish

AmberChat is an instruction-following model fine-tuned from LLM360/Amber, belonging to the LLM360 Pebble model series.

Natural Language ProcessingTransformersEnglish