Quick Start
- 1
- 2Use the Microsoft Foundry SDK or REST API to call
decilm-7b— see the documentation for request format. - 3
Code Examples
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 Azure platform-as-a-service offering for enterprise AI operations, model builders, and application development. It provides access to over 1,900 models from Microsoft, OpenAI, Anthropic, Mistral, xAI, Meta, DeepSeek, Hugging Face, and more. Foundry unifies agents, models, and tools under a single management grouping with built-in enterprise-readiness capabilities including tracing, monitoring, evaluations, and customizable enterprise setup configurations.
Pricing on Microsoft Foundry
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.52 |
| Output tokens | $0.67 |
Capabilities
No model capability flags are currently sourced.
About DeciLM 7B
DeciLM-7B is a cutting-edge large language model developed by Deci AI, featuring 7.04 billion parameters. This model incorporates an advanced transformer decoder architecture, utilizing variable Grouped-Query Attention (GQA) to achieve high accuracy and efficiency. The architecture is fine-tuned using Deci's proprietary Neural Architecture Search technology, AutoNAC, for optimal performance. Capable of handling sequences of up to 8192 tokens, DeciLM-7B outperforms similar or larger models across various benchmarks. An instruction-tuned version, DeciLM-7B-instruct, further enhances its capabilities, especially for instruction-following tasks. It is released under the Apache 2.0 license, making it suitable for both commercial and research use.