Edit model card

Exllama v2 Quantizations of LongAlign-7B-64k

Using turboderp's ExLlamaV2 v0.0.12 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/THUDM/LongAlign-7B-64k

No GQA - VRAM requirements will be higher

Branch Bits lm_head bits Size (4k) Size (16k) Description
8_0 8.0 8.0 9.4 GB 15.6 GB Maximum quality that ExLlamaV2 can produce, near unquantized performance.
6_5 6.5 8.0 8.6 GB 14.8 GB Near unquantized performance at vastly reduced size, recommended.
5_0 5.0 6.0 7.2 GB 13.4 GB Slightly lower quality vs 6.5, but usable on 8GB cards with 4k context.
4_25 4.25 6.0 6.5 GB 12.7 GB GPTQ equivalent bits per weight.
3_5 3.5 6.0 5.9 GB 12.1 GB Lower quality, not recommended.

Download instructions

With git:

git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/LongAlign-7B-64k-exl2 LongAlign-7B-64k-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 LongAlign-7B-64k-exl2:

mkdir LongAlign-7B-64k-exl2
huggingface-cli download bartowski/LongAlign-7B-64k-exl2 --local-dir LongAlign-7B-64k-exl2 --local-dir-use-symlinks False

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

Linux:

mkdir LongAlign-7B-64k-exl2-6_5
huggingface-cli download bartowski/LongAlign-7B-64k-exl2 --revision 6_5 --local-dir LongAlign-7B-64k-exl2-6_5 --local-dir-use-symlinks False

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

mkdir LongAlign-7B-64k-exl2-6.5
huggingface-cli download bartowski/LongAlign-7B-64k-exl2 --revision 6_5 --local-dir LongAlign-7B-64k-exl2-6.5 --local-dir-use-symlinks False

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

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train bartowski/LongAlign-7B-64k-exl2