---
license: mit
license_link: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE

language:
- en
pipeline_tag: text-generation
tags:
- nlp
- code
inference:
  parameters:
    temperature: 0.0
widget:
  - messages:
      - role: user
        content: Can you provide ways to eat combinations of bananas and dragonfruits?
quantized_by: bartowski
---

## Exllama v2 Quantizations of Phi-3.1-mini-4k-instruct

<b>I'm calling this Phi-3.1 because Microsoft made the decision to release a huge update in place.. So yes, it's the new model from June 2nd 2024, but I've renamed it for clarity.</b>

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.1.6">turboderp's ExLlamaV2 v0.1.6</a> for quantization.

<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>

Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.

Conversion was done using the default calibration dataset.

Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.

Original model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct


<a href="https://huggingface.co/bartowski/Phi-3.1-mini-4k-instruct-exl2/tree/8_0">8.0 bits per weight</a>

<a href="https://huggingface.co/bartowski/Phi-3.1-mini-4k-instruct-exl2/tree/6_5">6.5 bits per weight</a>

<a href="https://huggingface.co/bartowski/Phi-3.1-mini-4k-instruct-exl2/tree/5_0">5.0 bits per weight</a>

<a href="https://huggingface.co/bartowski/Phi-3.1-mini-4k-instruct-exl2/tree/4_25">4.25 bits per weight</a>

<a href="https://huggingface.co/bartowski/Phi-3.1-mini-4k-instruct-exl2/tree/3_5">3.5 bits per weight</a>


## Download instructions

With git:

```shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Phi-3.1-mini-4k-instruct-exl2
```

With huggingface hub (credit to TheBloke for instructions):

```shell
pip3 install huggingface-hub
```

To download the `main` (only useful if you only care about measurement.json) branch to a folder called `Phi-3.1-mini-4k-instruct-exl2`:

```shell
mkdir Phi-3.1-mini-4k-instruct-exl2
huggingface-cli download bartowski/Phi-3.1-mini-4k-instruct-exl2 --local-dir Phi-3.1-mini-4k-instruct-exl2
```

To download from a different branch, add the `--revision` parameter:

Linux:

```shell
mkdir Phi-3.1-mini-4k-instruct-exl2-6_5
huggingface-cli download bartowski/Phi-3.1-mini-4k-instruct-exl2 --revision 6_5 --local-dir Phi-3.1-mini-4k-instruct-exl2-6_5
```

Windows (which apparently doesn't like _ in folders sometimes?):

```shell
mkdir Phi-3.1-mini-4k-instruct-exl2-6.5
huggingface-cli download bartowski/Phi-3.1-mini-4k-instruct-exl2 --revision 6_5 --local-dir Phi-3.1-mini-4k-instruct-exl2-6.5
```