---
title: Qwen3-8B-int4-cw-ov
canonical_url: "https://www.modelscope.ai/models/OpenVINO/Qwen3-8B-int4-cw-ov"
md_url: "https://www.modelscope.ai/models/OpenVINO/Qwen3-8B-int4-cw-ov.md"
repository: OpenVINO/Qwen3-8B-int4-cw-ov
last_updated: 2026-02-27
license: apache-2.0
model_type:
  - qwen3
architectures:
  - Qwen3ForCausalLM
base_model:
  - Qwen/Qwen3-8B
base_model_relation: quantized
library_name:
  - openvino
  - pytorch
frameworks:
  - pytorch
downloads: 126
stars: 0
---

# Qwen3-8B-int4-cw-ov

> Qwen3-8B-int4-cw-ov - An open-source model by OpenVINO on ModelScope. Qwen3-8B-int4-cw-ov Model creator: Qwen Original model: Qwen3-8B

OpenVINO/Qwen3-8B-int4-cw-ov is a machine learning model on ModelScope. licensed under apache-2.0. derived from Qwen/Qwen3-8B.

- **Repository**: OpenVINO/Qwen3-8B-int4-cw-ov
- **License**: apache-2.0
- **Base model**: Qwen/Qwen3-8B
- **Downloads**: 126
- **Stars**: 0
- **Last updated**: 2026-02-27

Source: https://www.modelscope.ai/models/OpenVINO/Qwen3-8B-int4-cw-ov

---

# Qwen3-8B-int4-cw-ov
 * Model creator: [Qwen](https://huggingface.co/Qwen)
 * Original model: [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B)

## Description
This is [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2025/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to INT4 by [NNCF](https://github.com/openvinotoolkit/nncf).

> [!NOTE]  
> The model is optimized for inference on NPU using these [instructions.](https://docs.openvino.ai/2025/openvino-workflow-generative/inference-with-genai/inference-with-genai-on-npu.html#export-an-llm-model-via-hugging-face-optimum-intel)

## Quantization Parameters

The quantization was performed using `optimum-cli export openvino` with the following parameters:

 * mode: **INT4_SYM** 
 * ratio: **1.0** 

For more information on quantization, check the [OpenVINO model optimization guide](https://docs.openvino.ai/2025/openvino-workflow/model-optimization-guide/weight-compression.html).

## Compatibility

The provided OpenVINO™ IR model is compatible with:

* OpenVINO version 2026.0.0 and higher
* Intel® NPU Driver - Windows* 32.0.100.4023 for Intel® Core™ Ultra processors and higher

## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)


1. Install packages required for using OpenVINO GenAI.
```
pip install openvino-genai huggingface_hub
```

2. Download model from HuggingFace Hub
   
```
import huggingface_hub as hf_hub

model_id = "OpenVINO/qwen3-8b-int4-cw-ov"
model_path = "qwen3-8b-int4-cw-ov"

hf_hub.snapshot_download(model_id, local_dir=model_path)

```

3. Run model inference:

```
import openvino_genai as ov_genai

device = "NPU"
pipe = ov_genai.LLMPipeline(model_path, device)
print(pipe.generate("What is OpenVINO?", max_length=200))
```

More GenAI usage examples can be found in OpenVINO GenAI library [docs](https://docs.openvino.ai/2025/openvino-workflow-generative/inference-with-genai.html) and [samples](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#openvino-genai-samples)

You can find more detaild usage examples in OpenVINO Notebooks:

- [LLM](https://openvinotoolkit.github.io/openvino_notebooks/?search=LLM)
- [RAG text generation](https://openvinotoolkit.github.io/openvino_notebooks/?search=RAG+system&tasks=Text+Generation)

## Limitations

Check the original [model card](https://huggingface.co/Qwen/Qwen3-8B) for limitations.

## Legal information

The original model is distributed under [Apache License Version 2.0](https://huggingface.co/Qwen/Qwen3-8B/blob/main/LICENSE) license. More details can be found in [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B).

## Disclaimer

Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.