README.md

---
language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
pipeline_tag: text-generation
tags:
- facebook
- meta
- llama
- llama-3
license: llama3.2
extra_gated_prompt: >-
  ### LLAMA 3.2 COMMUNITY LICENSE AGREEMENT


  Llama 3.2 Version Release Date: September 25, 2024

  
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  ### Llama 3.2 Acceptable Use Policy
  
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  #### Prohibited Uses
  
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  Please report any violation of this Policy, software “bug,” or other problems that could lead to a violation of this Policy through one of the following means:


  * Reporting issues with the model: [https://github.com/meta-llama/llama-models/issues](https://l.workplace.com/l.php?u=https%3A%2F%2Fgithub.com%2Fmeta-llama%2Fllama-models%2Fissues&h=AT0qV8W9BFT6NwihiOHRuKYQM_UnkzN_NmHMy91OT55gkLpgi4kQupHUl0ssR4dQsIQ8n3tfd0vtkobvsEvt1l4Ic6GXI2EeuHV8N08OG2WnbAmm0FL4ObkazC6G_256vN0lN9DsykCvCqGZ)
  
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  * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)
  
  * Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama 3.2: [email protected]
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quantized_by: bartowski
base_model: meta-llama/Llama-3.2-3B-Instruct
base_model_relation: quantized
---

## Exllama v2 Quantizations of Llama-3.2-3B-Instruct

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.2.2">turboderp's ExLlamaV2 v0.2.2</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/meta-llama/Llama-3.2-3B-Instruct


<a href="https://huggingface.co/bartowski/Llama-3.2-3B-Instruct-exl2/tree/8_0">8.0 bits per weight</a>

<a href="https://huggingface.co/bartowski/Llama-3.2-3B-Instruct-exl2/tree/6_5">6.5 bits per weight</a>

<a href="https://huggingface.co/bartowski/Llama-3.2-3B-Instruct-exl2/tree/5_0">5.0 bits per weight</a>

<a href="https://huggingface.co/bartowski/Llama-3.2-3B-Instruct-exl2/tree/4_25">4.25 bits per weight</a>

<a href="https://huggingface.co/bartowski/Llama-3.2-3B-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/Llama-3.2-3B-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 `Llama-3.2-3B-Instruct-exl2`:

```shell
mkdir Llama-3.2-3B-Instruct-exl2
huggingface-cli download bartowski/Llama-3.2-3B-Instruct-exl2 --local-dir Llama-3.2-3B-Instruct-exl2
```

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

Linux:

```shell
mkdir Llama-3.2-3B-Instruct-exl2-6_5
huggingface-cli download bartowski/Llama-3.2-3B-Instruct-exl2 --revision 6_5 --local-dir Llama-3.2-3B-Instruct-exl2-6_5
```

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

```shell
mkdir Llama-3.2-3B-Instruct-exl2-6.5
huggingface-cli download bartowski/Llama-3.2-3B-Instruct-exl2 --revision 6_5 --local-dir Llama-3.2-3B-Instruct-exl2-6.5
```