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Models available on Foundry Local.
DeepseekR114b Section titled DeepseekR114b staticreadonly AIFoundryModel
This model is an optimized version of DeepSeek-R1-Distill-Qwen-14B to enable local inference on Intel GPUs. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** MIT - **Model Description:** This is a conversion of the DeepSeek-R1-Distill-Qwen-14B for local inference on Intel GPUs. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) for details.
public static readonly AIFoundryModel DeepseekR114b
DeepseekR115b Section titled DeepseekR115b staticreadonly AIFoundryModel
This model is an optimized version of DeepSeek-R1-Distill-Qwen-1.5B to enable local inference on Intel GPUs. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** MIT - **Model Description:** This is a conversion of the DeepSeek-R1-Distill-Qwen-1.5B for local inference on Intel GPUs. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) for details.
public static readonly AIFoundryModel DeepseekR115b
DeepseekR17b Section titled DeepseekR17b staticreadonly AIFoundryModel
This model is an optimized version of DeepSeek-R1-Distill-Qwen-7B to enable local inference on Intel GPUs. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** MIT - **Model Description:** This is a conversion of the DeepSeek-R1-Distill-Qwen-7B for local inference on Intel GPUs. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) for details.
public static readonly AIFoundryModel DeepseekR17b
This model is an optimized version of gpt-oss-20b to enable local inference. This model uses RTN quantization. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** Apache-2.0 - **License Description:** Use of this model is subject to the terms of the Apache License, Version 2.0, available at http://www.apache.org/licenses/LICENSE-2.0. - **Model Description:** This is a conversion of the gpt-oss-20b model for local inference. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Azure AI Foundry model [gpt-oss-20b](https://ai.azure.com/catalog/models/gpt-oss-20b) for details.
public static readonly AIFoundryModel GptOss20b
Mistral7bV02 Section titled Mistral7bV02 staticreadonly AIFoundryModel
This model is an optimized version of Mistral-7B-Instruct-v0.2 to enable local inference on Intel GPUs. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** apache-2.0 - **Model Description:** This is a conversion of the Mistral-7B-Instruct-v0.2 for local inference on Intel GPUs. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) for details.
public static readonly AIFoundryModel Mistral7bV02
This model is an optimized version of Phi-3.5-mini-instruct to enable local inference. This model uses RTN quantization. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** MIT - **Model Description:** This is a conversion of the Phi-3.5-mini-instruct for local inference. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) for details.
public static readonly AIFoundryModel Phi35Mini
Phi3Mini128k Section titled Phi3Mini128k staticreadonly AIFoundryModel
This model is an optimized version of Phi-3-Mini-128K-Instruct to enable local inference. This model uses RTN quantization. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** MIT - **Model Description:** This is a conversion of the Phi-3-Mini-128K-Instruct for local inference. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [Phi-3-Mini-128K-Instruct](https://huggingface.co/microsoft/Phi-3-Mini-128K-Instruct) for details.
public static readonly AIFoundryModel Phi3Mini128k
This model is an optimized version of Phi-3-Mini-4K-Instruct to enable local inference. This model uses RTN quantization. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** MIT - **Model Description:** This is a conversion of the Phi-3-Mini-4K-Instruct for local inference. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [Phi-3-Mini-4K-Instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) for details.
public static readonly AIFoundryModel Phi3Mini4k
This model is an optimized version of Phi-4 to enable local inference. This model uses RTN quantization. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** MIT - **Model Description:** This is a conversion of the Phi-4 for local inference. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [Phi-4](https://huggingface.co/microsoft/Phi-4) for details.
public static readonly AIFoundryModel Phi4
This model is an optimized version of Phi-4-mini-instruct to enable local inference. This model uses RTN quantization. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** MIT - **Model Description:** This is a conversion of the Phi-4-mini-instruct for local inference. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct) for details.
public static readonly AIFoundryModel Phi4Mini
Phi4MiniReasoning Section titled Phi4MiniReasoning staticreadonly AIFoundryModel
This model is an optimized version of Phi-4-mini-reasoning to enable local inference. This model uses RTN quantization. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** MIT - **Model Description:** This is a conversion of the Phi-4-mini-reasoning for local inference. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [Phi-4-mini-reasoning](https://huggingface.co/microsoft/Phi-4-mini-reasoning) for details.
public static readonly AIFoundryModel Phi4MiniReasoning
This model is an optimized version of Qwen2.5-0.5B-Instruct to enable local inference. This model uses RTN quantization. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** apache-2.0 - **Model Description:** This is a conversion of the Qwen2.5-0.5B-Instruct for local inference. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) for details.
public static readonly AIFoundryModel Qwen2505b
This model is an optimized version of Qwen2.5-14B-Instruct to enable local inference. This model uses RTN quantization. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** apache-2.0 - **Model Description:** This is a conversion of the Qwen2.5-14B-Instruct for local inference. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) for details.
public static readonly AIFoundryModel Qwen2514b
This model is an optimized version of Qwen2.5-1.5B-Instruct to enable local inference. This model uses RTN quantization. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** apache-2.0 - **Model Description:** This is a conversion of the Qwen2.5-1.5B-Instruct for local inference. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) for details.
public static readonly AIFoundryModel Qwen2515b
Qwen2515bInstructTestVitisNpu Section titled Qwen2515bInstructTestVitisNpu staticreadonly AIFoundryModel
Qwen 2.5 1.5B Instruct model for AMD NPUs (test variant).
public static readonly AIFoundryModel Qwen2515bInstructTestVitisNpu
This model is an optimized version of Qwen2.5-7B-Instruct to enable local inference. This model uses RTN quantization. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** apache-2.0 - **Model Description:** This is a conversion of the Qwen2.5-7B-Instruct for local inference. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) for details.
public static readonly AIFoundryModel Qwen257b
Qwen25Coder05b Section titled Qwen25Coder05b staticreadonly AIFoundryModel
This model is an optimized version of Qwen2.5-Coder-0.5B-Instruct to enable local inference. This model uses RTN quantization. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** apache-2.0 - **Model Description:** This is a conversion of the Qwen2.5-Coder-0.5B-Instruct for local inference. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [Qwen2.5-Coder-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B-Instruct) for details.
public static readonly AIFoundryModel Qwen25Coder05b
Qwen25Coder14b Section titled Qwen25Coder14b staticreadonly AIFoundryModel
This model is an optimized version of Qwen2.5-Coder-14B-Instruct to enable local inference. This model uses RTN quantization. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** apache-2.0 - **Model Description:** This is a conversion of the Qwen2.5-Coder-14B-Instruct for local inference. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [Qwen2.5-Coder-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct) for details.
public static readonly AIFoundryModel Qwen25Coder14b
Qwen25Coder15b Section titled Qwen25Coder15b staticreadonly AIFoundryModel
This model is an optimized version of Qwen2.5-Coder-1.5B-Instruct to enable local inference. This model uses RTN quantization. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** apache-2.0 - **Model Description:** This is a conversion of the Qwen2.5-Coder-1.5B-Instruct for local inference. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) for details.
public static readonly AIFoundryModel Qwen25Coder15b
Qwen25Coder7b Section titled Qwen25Coder7b staticreadonly AIFoundryModel
This model is an optimized version of Qwen2.5-Coder-7B-Instruct to enable local inference. This model uses RTN quantization. # Model Description - **Developed by:** Microsoft - **Model type:** ONNX - **License:** apache-2.0 - **Model Description:** This is a conversion of the Qwen2.5-Coder-7B-Instruct for local inference. - **Disclaimer:** Model is only an optimization of the base model, any risk associated with the model is the responsibility of the user of the model. Please verify and test for your scenarios. There may be a slight difference in output from the base model with the optimizations applied. Note that optimizations applied are distinct from fine tuning and thus do not alter the intended uses or capabilities of the model. # Base Model Information See Hugging Face model [Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) for details.
public static readonly AIFoundryModel Qwen25Coder7b