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---
quantized_by: bartowski
---
# Exllama v2 Quantizations of SAM at 6.0 bits per weight
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
Conversion was done using the default calibration dataset.
Original model: https://huggingface.co/SuperAGI/SAM
## Download instructions
With git:
```shell
git clone --single-branch --branch 6.0 https://huggingface.co/bartowski/SAM-exl2
```
With huggingface hub (credit to TheBloke for instructions):
```shell
pip3 install huggingface-hub
```
To download from a different branch, add the `--revision` parameter:
```shell
mkdir SAM-exl2
huggingface-cli download bartowski/SAM-exl2 --revision 6_0 --local-dir SAM-exl2 --local-dir-use-symlinks False
```
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