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  ---
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  license: apache-2.0
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  inference: false
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- tags: [green, llmware-chat, p1, ov, emerald]
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  ---
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- # qwen2-1.5b-instruct-ov
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- **qwen2-1.5b-instruct-ov** is an OpenVino int4 quantized version of [Qwen2-1.5B-Instruct](https://www.huggingface.co/Qwen/Qwen2-1.5B-Instruct), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
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- This is from the Qwen2 release series from Qwen (summer 2024), and is a very high-quality smaller model.
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  ### Model Description
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  - **Developed by:** Qwen
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  - **Quantized by:** llmware
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- - **Model type:** qwen2
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- - **Parameters:** 1.5 billion
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- - **Model Parent:** Qwen/Qwen2-1.5B-Instruct
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  - **Language(s) (NLP):** English
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  - **License:** Apache 2.0
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- - **Uses:** Chat, general-purpose LLM
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  - **Quantization:** int4
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  license: apache-2.0
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  inference: false
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+ tags: [green, llmware-vision, p7, ov, emerald]
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+ # qwen2-vl-7b-instruct-ov
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+ **qwen2-vl-7b-instruct-ov** is an OpenVino int4 quantized version of [Qwen2-7B-Instruct](https://www.huggingface.co/Qwen/Qwen2-VL-7B-Instruct), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
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+ This is a vision-to-text model from the Qwen2 release series from Qwen (summer 2024), and is a very high-quality innovative model that accepts multi-modal inputs (image/video, text).
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  ### Model Description
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  - **Developed by:** Qwen
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  - **Quantized by:** llmware
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+ - **Model type:** qwen2-vl
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+ - **Parameters:** 7 billion
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+ - **Model Parent:** Qwen/Qwen2-VL-7B-Instruct
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  - **Language(s) (NLP):** English
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  - **License:** Apache 2.0
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+ - **Uses:** Multi-Modal LLM
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  - **Quantization:** int4
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