Local Fields
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 for details.
public static readonly FoundryModel DeepseekR114bThis 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 for details.
public static readonly FoundryModel DeepseekR115bThis 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 for details.
public static readonly FoundryModel DeepseekR17bThis 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 for details.
public static readonly FoundryModel GptOss20bThis 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 for details.
public static readonly FoundryModel Mistral7bV02This model is an optimized version of Mistral-Nemo-Instruct-2407 to enable local inference. This model uses GPTQ quantization.
Model Description
Developed by: Microsoft
Model type: ONNX
License: apache-2.0
Model Description: This is a conversion of the Mistral-Nemo-Instruct-2407 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 Mistral-Nemo-Instruct-2407 for details.
public static readonly FoundryModel MistralNemo12bInstructNemotronSpeechStreamingEn06b Section titled NemotronSpeechStreamingEn06b staticreadonly FoundryModel This model is an optimized version of nemotron-speech-streaming-en-0.6b to enable local inference. This model uses RTN quantization.
Model Description
Developed by: Microsoft
Model type: ONNX
License: MIT
Model Description: This is an optimized version of the nemotron-speech-streaming-en-0.6b 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 Hugging Face model nemotron-speech-streaming-en-0.6b for details.
public static readonly FoundryModel NemotronSpeechStreamingEn06bNemotronSpeechStreamingEs06b Section titled NemotronSpeechStreamingEs06b staticreadonly FoundryModel This model is a fine-tuned and optimized derivative of nemotron-speech-streaming-en-0.6b, adapted for Spanish speech recognition. The model is optimized for local inference.
Model Description
Developed by: Microsoft
Model type: ONNX
License: MIT
Model Description: This model is derived from nemotron-speech-streaming-en-0.6b and has been fine-tuned for Spanish speech recognition. It has been converted and optimized for efficient local inference across a wide range of CPU devices.
Disclaimer: This model is a fine-tuned and optimized derivative of the base model, adapted for Spanish speech recognition. Due to this adaptation, its capabilities differ substantially from the original English model and are specialized for Spanish-language use cases. The model may not perform as expected on other languages or tasks. Users are responsible for evaluating the model in their specific application context.
Base Model Information
See Hugging Face model https://huggingface.co/nvidia/nemotron-speech-streaming-en-0.6b for details.
public static readonly FoundryModel NemotronSpeechStreamingEs06bThis model is an optimized version of Olmo-3-7B-Instruct to enable local inference. This model uses GPTQ quantization.
Model Description
Developed by: Microsoft
Model type: ONNX
License: apache-2.0
Model Description: This is a conversion of the Olmo-3-7B-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 Olmo-3-7B-Instruct for details.
public static readonly FoundryModel Olmo37bInstructThis 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 for details.
public static readonly FoundryModel Phi35MiniThis 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 for details.
public static readonly FoundryModel Phi3Mini128kThis 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 for details.
public static readonly FoundryModel Phi3Mini4kThis 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 for details.
public static readonly FoundryModel Phi4This 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 for details.
public static readonly FoundryModel Phi4MiniThis 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 for details.
public static readonly FoundryModel Phi4MiniReasoningThis 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 for details.
public static readonly FoundryModel Qwen2505bThis 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 for details.
public static readonly FoundryModel Qwen2514bThis 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 for details.
public static readonly FoundryModel Qwen2515bQwen2515bInstructTestVitisNpu Section titled Qwen2515bInstructTestVitisNpu staticreadonly FoundryModel public static readonly FoundryModel Qwen2515bInstructTestVitisNpuThis 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 for details.
public static readonly FoundryModel Qwen257bThis 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 for details.
public static readonly FoundryModel Qwen25Coder05bThis 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 for details.
public static readonly FoundryModel Qwen25Coder14bThis 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 for details.
public static readonly FoundryModel Qwen25Coder15bThis 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 for details.
public static readonly FoundryModel Qwen25Coder7bThis model is an optimized version of Qwen3-0.6B to enable local inference. This model uses KLD Gradient quantization.
Model Description
Developed by: Microsoft
Model type: ONNX
License: apache-2.0
Model Description: This is a conversion of the Qwen3-0.6B 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 Qwen3-0.6B for details.
public static readonly FoundryModel Qwen306bThis model is an optimized version of Qwen3-14B to enable local inference. This model uses GPTQ quantization.
Model Description
Developed by: Microsoft
Model type: ONNX
License: apache-2.0
Model Description: This is a conversion of the Qwen3-14B 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 Qwen3-14B for details.
public static readonly FoundryModel Qwen314bThis model is an optimized version of Qwen3-1.7B to enable local inference. This model uses KLD Gradient quantization.
Model Description
Developed by: Microsoft
Model type: ONNX
License: apache-2.0
Model Description: This is a conversion of the Qwen3-1.7B 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 Qwen3-1.7B for details.
public static readonly FoundryModel Qwen317bThis model is an optimized version of Qwen3-4B to enable local inference. This model uses KLD Gradient quantization.
Model Description
Developed by: Microsoft
Model type: ONNX
License: apache-2.0
Model Description: This is a conversion of the Qwen3-4B 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 Qwen3-4B for details.
public static readonly FoundryModel Qwen34bThis model is an optimized version of Qwen3.5-0.8B 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 Qwen3.5-0.8B 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 Qwen3.5-0.8B for details.
public static readonly FoundryModel Qwen3508bThis model is an optimized version of Qwen3.5-2B 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 Qwen3.5-2B 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 Qwen3.5-2B for details.
public static readonly FoundryModel Qwen352bThis model is an optimized text-only version of Qwen3.5-2B to enable local inference with CUDA. 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 Qwen3.5-2B text model for local inference with CUDA.
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 Qwen3.5-2B for details.
public static readonly FoundryModel Qwen352bTextThis model is an optimized version of Qwen3.5-4B 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 Qwen3.5-4B 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 Qwen3.5-4B for details.
public static readonly FoundryModel Qwen354bThis model is an optimized version of Qwen3.5-9B 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 Qwen3.5-9B 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 Qwen3.5-9B for details.
public static readonly FoundryModel Qwen359bThis model is an optimized version of Qwen3-8B to enable local inference. This model uses KLD Gradient quantization.
Model Description
Developed by: Microsoft
Model type: ONNX
License: apache-2.0
Model Description: This is a conversion of the Qwen3-8B 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 Qwen3-8B for details.
public static readonly FoundryModel Qwen38bQwen3 Embedding 0.6B Cuda Gpu
This is the GPU (NVIDIA CUDA)-optimized variant of qwen3-embedding-0.6b, a text embedding model from the Qwen3 family developed by Alibaba Cloud and optimized by Microsoft.
Model Details
Model Type: Text Embedding (ONNX)
Parameters: 0.6 billion
Context Length: 32K tokens
Embedding Dimension: Up to 1024
Quantization: KLD Gradient quantization
Target Device: GPU (NVIDIA CUDA)
Execution Provider: CUDAExecutionProvider
Supported Languages: 100+
Intended Use
This model is optimized for local execution on devices with GPU (NVIDIA CUDA) hardware acceleration using Foundry Local.
Capabilities
Text retrieval and semantic search
Code retrieval
Text classification and clustering
Bitext mining
Multilingual and cross-lingual retrieval
License
This model is licensed under Apache 2.0. See license details.
Source
HuggingFace: Qwen3-Embedding-0.6B
public static readonly FoundryModel Qwen3Embedding06bQwen3 Embedding 8B Cuda Gpu
This is the GPU (NVIDIA CUDA)-optimized variant of qwen3-embedding-8b, a text embedding model from the Qwen3 family developed by Alibaba Cloud and optimized by Microsoft.
Model Details
Model Type: Text Embedding (ONNX)
Parameters: 8 billion
Context Length: 32K tokens
Embedding Dimension: Up to 4096
Quantization: KLD Gradient quantization
Target Device: GPU (NVIDIA CUDA)
Execution Provider: CUDAExecutionProvider
Supported Languages: 100+
Intended Use
This model is optimized for local execution on devices with GPU (NVIDIA CUDA) hardware acceleration using Foundry Local.
Capabilities
Text retrieval and semantic search
Code retrieval
Text classification and clustering
Bitext mining
Multilingual and cross-lingual retrieval
License
This model is licensed under Apache 2.0. See license details.
Source
HuggingFace: Qwen3-Embedding-8B
public static readonly FoundryModel Qwen3Embedding8bThis model is an optimized version of Qwen3-VL-2B-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 Qwen3-VL-2B-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 Qwen3-VL-2B-Instruct for details.
public static readonly FoundryModel Qwen3Vl2bInstructThis model is an optimized version of Qwen3-VL-4B-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 Qwen3-VL-4B-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 Qwen3-VL-4B-Instruct for details.
public static readonly FoundryModel Qwen3Vl4bInstructThis model is an optimized version of Qwen3-VL-8B-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 Qwen3-VL-8B-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 Qwen3-VL-8B-Instruct for details.
public static readonly FoundryModel Qwen3Vl8bInstructThis model is an optimized version of SmolLM3-3B to enable local inference. This model uses GPTQ quantization.
Model Description
Developed by: Microsoft
Model type: ONNX
License: apache-2.0
Model Description: This is a conversion of the SmolLM3-3B 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 SmolLM3-3B for details.
public static readonly FoundryModel Smollm33b