kaitchup
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Phi-4-mini-instruct-AutoRoundGPTQ-3bit

Text Generation

text-generation-inference

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bnjmnmarie commited on 28 days ago

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 license: apache-2.0
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 ## Model Details
 This is [Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct) quantized with [AutoRound](https://github.com/intel/auto-round/tree/main) (symmetric quantization) and serialized with the GPTQ format in 3-bit. The model has been created, tested, and evaluated by The Kaitchup.
 Details on the quantization process and how to use the model here: [The Kaitchup](https://kaitchup.substack.com/)
 - **Developed by:** [The Kaitchup](https://kaitchup.substack.com/)

 license: apache-2.0
 ---
+*Note: vLLM has issues running 3-bit models quantized with AutoRound. The model works fine with Transformers.*
 ## Model Details
 This is [Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct) quantized with [AutoRound](https://github.com/intel/auto-round/tree/main) (symmetric quantization) and serialized with the GPTQ format in 3-bit. The model has been created, tested, and evaluated by The Kaitchup.
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64b93e6bd6c468ac7536607e/zyIZlKq6mvBvKsKEFDrEm.png)
 Details on the quantization process and how to use the model here: [The Kaitchup](https://kaitchup.substack.com/)
 - **Developed by:** [The Kaitchup](https://kaitchup.substack.com/)