Phi-3.5 Mini 128K Instruct

Phi-3.5 models are lightweight, state-of-the-art open models. These models were trained with Phi-3 datasets that include both synthetic data and the filtered, publicly available websites data, with a focus on high quality and reasoning-dense properties. Phi-3.5 Mini uses 3.8B parameters, and is a dense decoder-only transformer model using the same tokenizer as [Phi-3 Mini](/models/microsoft/phi-3-mini-128k-instruct). The models underwent a rigorous enhancement process, incorporating both supervised fine-tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures. When assessed against benchmarks that test common sense, language understanding, math, code, long context and logical reasoning, Phi-3.5 models showcased robust and state-of-the-art performance among models with less than 13 billion parameters.

Available at 3 Providers

	Provider	Model Name	Original Model	Input ($/1M)	Output ($/1M)	Free
	ValorGPT	Phi-3.5 Mini 128K Instruct	microsoft-phi-3.5-mini-128k-instruct	-	-
	Yupp	Phi 3.5 Mini 128k Instruct (OpenRouter)	microsoft/phi-3.5-mini-128k-instruct	-	-		Visit
	LangDB	phi-3.5-mini-128k-instruct	phi-3.5-mini-128k-instruct	-	-