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Quant-Cartel/
L3.1-8B-Llamoutcast-exl2-rpcal

Name: L3.1-8B-Llamoutcast-exl2-rpcal
Availability: InStock

not-for-all-audiences

cc-by-nc-4.0

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PROUDLY PRESENTS

L3.1-8B-Llamoutcast-exl2-rpcal

Quantized using 200 samples of 8192 tokens from an RP-oriented PIPPA dataset.

Branches:

main -- measurement.json
8b8h -- 8bpw, 8bit lm_head
6b8h -- 6bpw, 8bit lm_head
4b6h -- 4bpw, 6bit lm_head
2.25b6h -- 2.25bpw, 6bit lm_head

Original model link: Envoid/L3.1-8B-Llamoutcast

Quanter's notes

As apparently the default dataset is supposed to be better in nearly all situations, I decided to start quanting using that in addition to my standard rpcal-fare. I'd appreciate real-world tests to confirm the hypothesis, though, so please leave a comment if you find rpcal to be better than what I've dubbed 'longcal'.

Original model README below.

Warning: this model is utterly cursed.

Llamoutcast

This model was originally intended to be a DADA finetune of Llama-3.1-8B-Instruct but the results were unsatisfactory. So it received some additional finetuning on a rawtext dataset and now it is utterly cursed.

It responds to Llama-3 Instruct formatting.

Trained using qlora-pipe.

Quant-Cartel/L3.1-8B-Llamoutcast-exl2-rpcal

L3.1-8B-Llamoutcast-exl2-rpcal

Quanter's notes

Warning: this model is utterly cursed.

Llamoutcast

Quant-Cartel/
L3.1-8B-Llamoutcast-exl2-rpcal