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QuantFactory/MN-12B-Starcannon-v2-GGUF
MN-12B-Starcannon-v2-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 apache-2.0.
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From the Hugging Face model README
This is quantized version of aetherwiing/MN-12B-Starcannon-v2 created using llama.cpp
A star and a gun is all you need
This is a merge of pre-trained language models created using mergekit. Turned out to be a bit more Magnum-esque, but still is very creative, and writing style is pretty nice, even if some slop words appear time to time. Might be a good fit for people wanting more variety than Magnum has, and more verbose prose than Celeste v1.9 has. <br><br> Dynamic FP8 <br> Static GGUF (by Mradermacher) <br> EXL2 (by kingbri of RoyalLab)
This model was merged using the TIES merge method using nothingiisreal/MN-12B-Celeste-V1.9 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: intervitens/mini-magnum-12b-v1.1
parameters:
density: 0.3
weight: 0.5
- model: nothingiisreal/MN-12B-Celeste-V1.9
parameters:
density: 0.7
weight: 0.5
merge_method: ties
base_model: nothingiisreal/MN-12B-Celeste-V1.9
parameters:
normalize: true
int8_mask: true
dtype: bfloat16