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Orca 2 13B on Microsoft Foundry

Orca 2 · Microsoft Research

Provisioned

Get Started with Orca 2 13B on Microsoft Foundry

Microsoft Foundry offers access to Orca 2 13B. 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

TypePrice (per 1M)
Input tokens$0.81
Output tokens$0.94

Capabilities

VisionMultimodalReasoningFunction CallingTool UseStructured OutputsCode Execution

About Orca 2 13B

Orca 2 13B, developed by Microsoft, is a large language model designed primarily for research purposes. It is a fine-tuned version of the LLaMA-2 base model, focusing on enhanced reasoning capabilities in smaller language models. This is achieved through training on a synthetic dataset specifically created to improve reasoning skills. Orca 2 13B excels in tasks such as reading comprehension, math problem-solving, and text summarization. However, it is not optimized for chat applications and requires fine-tuning for specific tasks. The model demonstrates strong performance in zero-shot settings but shares common LLM limitations, such as potential biases and a lack of contextual understanding. It is primarily suitable for research and not recommended for deployment without further evaluation. 124 3 7 8.

Model Specs

Released2023-11-21
Parameters13B
ArchitectureDecoder Only

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