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README.md
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content: Can you provide ways to eat combinations of bananas and dragonfruits?
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---
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## Model Summary
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The Phi-3-Medium-4K-Instruct is a 14B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties.
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content: Can you provide ways to eat combinations of bananas and dragonfruits?
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---
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**Exllamav2** quant (**exl2** / **3.0 bpw**) made with ExLlamaV2 v0.0.21
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Other EXL2 quants:
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| **Quant** | **Model Size** | **lm_head** |
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| ----- | ---------- | ------- |
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|<center>**[2.2](https://huggingface.co/Zoyd/microsoft_Phi-3-medium-4k-instruct-2_2bpw_exl2)**</center> | <center>4032 MB</center> | <center>6</center> |
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|<center>**[2.5](https://huggingface.co/Zoyd/microsoft_Phi-3-medium-4k-instruct-2_5bpw_exl2)**</center> | <center>4495 MB</center> | <center>6</center> |
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|<center>**[3.0](https://huggingface.co/Zoyd/microsoft_Phi-3-medium-4k-instruct-3_0bpw_exl2)**</center> | <center>5312 MB</center> | <center>6</center> |
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|<center>**[3.5](https://huggingface.co/Zoyd/microsoft_Phi-3-medium-4k-instruct-3_5bpw_exl2)**</center> | <center>6120 MB</center> | <center>6</center> |
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|<center>**[3.75](https://huggingface.co/Zoyd/microsoft_Phi-3-medium-4k-instruct-3_75bpw_exl2)**</center> | <center>6531 MB</center> | <center>6</center> |
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|<center>**[4.0](https://huggingface.co/Zoyd/microsoft_Phi-3-medium-4k-instruct-4_0bpw_exl2)**</center> | <center>6937 MB</center> | <center>6</center> |
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|<center>**[4.25](https://huggingface.co/Zoyd/microsoft_Phi-3-medium-4k-instruct-4_25bpw_exl2)**</center> | <center>7343 MB</center> | <center>6</center> |
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|<center>**[5.0](https://huggingface.co/Zoyd/microsoft_Phi-3-medium-4k-instruct-5_0bpw_exl2)**</center> | <center>8555 MB</center> | <center>6</center> |
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|<center>**[6.0](https://huggingface.co/Zoyd/microsoft_Phi-3-medium-4k-instruct-6_0bpw_exl2)**</center> | <center>10213 MB</center> | <center>8</center> |
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|<center>**[6.5](https://huggingface.co/Zoyd/microsoft_Phi-3-medium-4k-instruct-6_5bpw_exl2)**</center> | <center>11024 MB</center> | <center>8</center> |
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|<center>**[8.0](https://huggingface.co/Zoyd/microsoft_Phi-3-medium-4k-instruct-8_0bpw_exl2)**</center> | <center>12599 MB</center> | <center>8</center> |
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## Model Summary
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The Phi-3-Medium-4K-Instruct is a 14B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties.
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