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Local

Class static net8.0
📦 Aspire.Hosting.Foundry v13.3.0-preview.1.26254.5
Models available on Foundry Local. 
namespace Aspire.Hosting.Foundry;


public static class Local
{
    // ...
}
Source
35 members

Fields35

Section titled Fields
DeepseekR114bstatic
FoundryModel

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.

DeepseekR115bstatic
FoundryModel

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 for details.

DeepseekR17bstatic
FoundryModel

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 for details.

GptOss20bstatic
FoundryModel

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 for details.

Mistral7bV02static
FoundryModel

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 for details.

NemotronSpeechStreamingEn06bstatic
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.

Phi35Ministatic
FoundryModel

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 for details.

Phi3Mini128kstatic
FoundryModel

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 for details.

Phi3Mini4kstatic
FoundryModel

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 for details.

Phi4static
FoundryModel

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 for details.

Phi4Ministatic
FoundryModel

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 for details.

Phi4MiniReasoningstatic
FoundryModel

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 for details.

Qwen2505bstatic
FoundryModel

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 for details.

Qwen2514bstatic
FoundryModel

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 for details.

Qwen2515bstatic
FoundryModel

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 for details.

Qwen2515bInstructTestVitisNpustaticobsolete
FoundryModel
Qwen 2.5 1.5B Instruct model for AMD NPUs (test variant).
Qwen257bstatic
FoundryModel

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 for details.

Qwen25Coder05bstatic
FoundryModel

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 for details.

Qwen25Coder14bstatic
FoundryModel

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 for details.

Qwen25Coder15bstatic
FoundryModel

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 for details.

Qwen25Coder7bstatic
FoundryModel

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 for details.

Qwen306bstatic
FoundryModel

This 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.

Qwen314bstatic
FoundryModel

This 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.

Qwen317bstatic
FoundryModel

This 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.

Qwen34bstatic
FoundryModel

This 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.

Qwen3508bstatic
FoundryModel

This 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.

Qwen352bstatic
FoundryModel

This 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.

Qwen354bstatic
FoundryModel

This 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.

Qwen359bstatic
FoundryModel

This 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.

Qwen38bstatic
FoundryModel

This 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.

Qwen3Embedding06bstatic
FoundryModel

Qwen3 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

Qwen3Embedding8bstatic
FoundryModel

Qwen3 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

Qwen3Vl2bInstructstatic
FoundryModel

This 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.

Qwen3Vl4bInstructstatic
FoundryModel

This 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.

Qwen3Vl8bInstructstatic
FoundryModel

This 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.

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