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QuantFactory/Gemma-2-Ataraxy-v4d-9B-GGUF
Gemma-2-Ataraxy-v4d-9B-GGUF is a machine learning model from QuantFactory. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as gemma.
Downloads · 30 days
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From the Hugging Face model README
This is quantized version of lemon07r/Gemma-2-Ataraxy-v4d-9B created using llama.cpp
For all intents and purposes, we can consider this the best "all rounder" of the Ataraxy. While primarily made with creative writing in mind, this one has done well in testing, and was made based on a lot of what I've discovered through trial, experimentation, testing and feedback from others.
Is this the best Ataraxy model? Not sure. I made a lot of variations, and quite honestly most of them aren't great, or at least as good as the very first version. The v2 series could do well in writing tests, but was a little too over the top and sloppy. The v3 series was a return to roots, and is a lot closer to v1, and can be considered v1 but slightly better or different and where we start to see some improvements in some areas. v4 is where we see further improvements, especially in overall or general use, even though my primary goal was writing ability. People seem to really like the very first version of Ataraxy, even if it doesn't do as well in various benchmarks. I hope this one comes close to beating it's predecessor, but if it doesn't I will keep trying.
All the Ataraxy series are primarily made for writing ability, but after some threshold, it started to get hard to tell, and even test for writing performance because they were all pretty good. Hopefully with some feedback we can continue to seek improvements.
Provided by @mradermacher
GGUF Static: https://huggingface.co/mradermacher/Gemma-2-Ataraxy-v4d-9B-GGUF
GGUF IMatrix: https://huggingface.co/mradermacher/Gemma-2-Ataraxy-v4d-9B-i1-GGUF
Open LLM Leaderboard 2 (12B and under)

This is a merge of pre-trained language models created using mergekit.
This model was merged using the SLERP merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: lemon07r/Gemma-2-Ataraxy-v4c-9B
dtype: bfloat16
merge_method: slerp
parameters:
t: 0.25
slices:
- sources:
- layer_range: [0, 42]
model: lemon07r/Gemma-2-Ataraxy-v4c-9B
- layer_range: [0, 42]
model: sam-paech/Darkest-muse-v1