Using Dolly 2.0 12B on Microsoft Foundry

Quick Start

1. 1
   Create an account at Microsoft Foundry and generate an API key.
2. 2
   Use the Microsoft Foundry SDK or REST API to call dolly-2.0-12b — see the documentation for request format.
3. 3
   You'll be billed $0.07/1M input, $0.07/1M output tokens.

About Microsoft Foundry

Microsoft Foundry offers a comprehensive platform-as-a-service for enterprise AI operations. It provides multiple deployment options including Serverless APIs (pay-as-you-go), Global Standard (shared managed capacity), Provisioned Throughput Units (reserved capacity), batch processing, and bring-your-own model deployments. The platform features a unified control plane for models, agents, tools, and observability. Its Agent Service enables building and deploying AI agents with built-in tracing, monitoring, and governance. Evaluation and monitoring tools assess model performance, safety, and groundedness. Foundry supports seamless upgrades from Azure OpenAI with non-destructive migration, maintaining existing deployments while unlocking multi-provider model access and advanced platform capabilities.

Microsoft Foundry is a unified enterprise AI platform that significantly expands beyond Azure OpenAI. It functions as a multi-provider hosting and deployment platform for LLMs, supporting models from OpenAI, Anthropic, DeepSeek, xAI, Meta, Mistral, NVIDIA, and others. Foundry integrates agent services, evaluation, observability, and governance into a single Azure control plane. Key capabilities include a multi-provider model catalog, Model Router for intelligent prompt routing, Foundry Agent Service for building and deploying AI agents with built-in tracing and monitoring, and enterprise-grade governance with RBAC, compliance, and regional deployments. For broader model catalog including Claude, DeepSeek, Grok, Llama, Mistral, and NVIDIA Nemotron, Foundry is the recommended platform over Azure OpenAI.

Pricing on Microsoft Foundry

Capabilities

About Dolly 2.0 12B

Dolly 2.0 12B is an instruction-following large language model developed by Databricks. It is built on the Pythia-12b architecture with 12 billion parameters and trained on around 15,000 instruction-response pairs crafted by Databricks employees. This model is adept at handling tasks such as brainstorming, classification, open and closed question answering, text generation, information extraction, and summarization. Despite its versatility, Dolly 2.0 12B is not considered state-of-the-art and struggles with more complex prompts, programming, mathematical tasks, factual accuracy, and nuanced tasks like humor. It is notable for its open-source license, permitting commercial use, though it may carry biases from its training data.