MN-12B-Starcannon-v2

UPD: this model series is succeeded by EVA<br> Unprivated, to store for historical reasons <br> There's not much point in those merges, Celeste 70B 0.1 pretty much melded Celeste's and Magnum's datasets anyway<br> To be continued, but on a different base, under a different name, and actually trained this time, without shortcuts<br><br>

MN-12B-Starcannon-v2

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)

Merge Details

Merge Method

This model was merged using the TIES merge method using nothingiisreal/MN-12B-Celeste-V1.9 as a base.

Merge fodder

The following models were included in the merge:

• nothingiisreal/MN-12B-Celeste-V1.9
• intervitens/mini-magnum-12b-v1.1

Configuration

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