Add metadata and usage example
Browse filesThis PR adds the correct metadata (license and pipeline tag) and includes a usage example from the official GitHub README. It also keeps the existing links to the paper and code.
README.md
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This is the official MatGPTQ checkpoint of `Qwen/Qwen3-8B`, produced as described in the [**"MatGPTQ: Accurate and Efficient Post-Training Matryoshka Quantization"**](https://arxiv.org/abs/2602.03537) paper.
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This model can be run via vLLM. Checkout our integration at [IST-DASLab/MatGPTQ](https://github.com/IST-DASLab/MatGPTQ)
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---
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license: apache-2.0
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pipeline_tag: text-generation
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---
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This is the official MatGPTQ checkpoint of `Qwen/Qwen3-8B`, produced as described in the [**"MatGPTQ: Accurate and Efficient Post-Training Matryoshka Quantization"**](https://arxiv.org/abs/2602.03537) paper.
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This model can be run via vLLM. Checkout our integration at [IST-DASLab/MatGPTQ](https://github.com/IST-DASLab/MatGPTQ)
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## Usage
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```python
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import vllm_matgptq
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from vllm import LLM
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llm = LLM(model="your-model", quantization="my_quant")
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```
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