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metadata
pipeline_tag: text-generation
tags:
  - labradorite
  - llama
  - llama-2
  - ibm
license: llama2
license_link: https://ai.meta.com/llama/license/
language:
  - en
quantized_by: bartowski

Exllama v2 Quantizations of labradorite-13b

Using turboderp's ExLlamaV2 v0.0.14 for quantization.

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

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

Original model: https://huggingface.co/ibm/labradorite-13b

No GQA - VRAM requirements will be higher

Branch Bits lm_head bits VRAM (4k) VRAM (16k) Description
8_0 8.0 8.0 16.8 GB 26.2 GB Near unquantized performance at vastly reduced size, recommended.
6_5 6.5 8.0 14.4 GB 24.0 GB Near unquantized performance at vastly reduced size, recommended.
5_0 5.0 6.0 12.1 GB 21.7 GB Slightly lower perplexity vs 6.5, can fit in 12 GB card with even lower context.
4_25 4.25 6.0 10.9 GB 20.5 GB GPTQ equivalent bits per weight.
3_75 3.75 6.0 10.1 GB 19.7 GB Lower quality but still generally usable.
3_0 3.0 6.0 9.1 GB 18.7 GB Very low quality, not recommended unless you have to.

VRAM requirements listed for both 4k context and 16k context since without GQA the differences are massive (9.6 GB)

Download instructions

With git:

git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/labradorite-13b-exl2 labradorite-13b-exl2-6_5

With huggingface hub (credit to TheBloke for instructions):

pip3 install huggingface-hub

To download the main (only useful if you only care about measurement.json) branch to a folder called labradorite-13b-exl2:

mkdir labradorite-13b-exl2
huggingface-cli download bartowski/labradorite-13b-exl2 --local-dir labradorite-13b-exl2 --local-dir-use-symlinks False

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

Linux:

mkdir labradorite-13b-exl2-6_5
huggingface-cli download bartowski/labradorite-13b-exl2 --revision 6_5 --local-dir labradorite-13b-exl2-6_5 --local-dir-use-symlinks False

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

mkdir labradorite-13b-exl2-6.5
huggingface-cli download bartowski/labradorite-13b-exl2 --revision 6_5 --local-dir labradorite-13b-exl2-6.5 --local-dir-use-symlinks False

Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski