Microsoft
developed and released the
Phi-3.5
model, a state-of-the-art large language model built upon the Phi-3 architecture. With its focus on high-quality, reasoning-dense data, this model represents a significant advancement in instruction-tuned language models. Phi-3.5 has been fine-tuned through supervised learning, proximal policy optimization (PPO), and direct preference optimization (DPO) to ensure precise instruction following and robust safety measures. Supporting a 128K token context length, the model demonstrates exceptional performance in tasks requiring extended context understanding and complex reasoning. The model's training data consists of synthetic datasets and carefully filtered publicly available web content, inheriting the high-quality foundation established in the Phi-3 series.
phi-3.5 huggingface.co is an AI model on huggingface.co that provides phi-3.5's model effect (), which can be used instantly with this cortexso phi-3.5 model. huggingface.co supports a free trial of the phi-3.5 model, and also provides paid use of the phi-3.5. Support call phi-3.5 model through api, including Node.js, Python, http.
phi-3.5 huggingface.co is an online trial and call api platform, which integrates phi-3.5's modeling effects, including api services, and provides a free online trial of phi-3.5, you can try phi-3.5 online for free by clicking the link below.
cortexso phi-3.5 online free url in huggingface.co:
phi-3.5 is an open source model from GitHub that offers a free installation service, and any user can find phi-3.5 on GitHub to install. At the same time, huggingface.co provides the effect of phi-3.5 install, users can directly use phi-3.5 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.