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--- |
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base_model: |
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- nothingiisreal/MN-12B-Celeste-V1.9 |
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- intervitens/mini-magnum-12b-v1.1 |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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license: cc-by-nc-nd-4.0 |
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--- |
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**Unprivated, to store for historical reasons** <br> |
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*There's not much point in those merges, Celeste 70B 0.1 pretty much melded Celeste's and Magnum's datasets anyway*<br> |
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*To be continued, but on a different base, under a different name, and actually trained this time, without shortcuts*<br><br> |
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# MN-12B-Starcannon-v2 |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/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. |
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<br><br> |
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[Dynamic FP8](https://huggingface.co/aetherwiing/MN-12B-Starcannon-v2-fp8-dynamic) <br> |
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[Static GGUF (by Mradermacher)](https://huggingface.co/mradermacher/MN-12B-Starcannon-v2-GGUF) <br> |
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[EXL2 (by kingbri of RoyalLab)](https://huggingface.co/royallab/MN-12B-Starcannon-v2-exl2) |
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## Merge Details |
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### Merge Method |
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [nothingiisreal/MN-12B-Celeste-V1.9](https://huggingface.co/nothingiisreal/MN-12B-Celeste-V1.9) as a base. |
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### Merge fodder |
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The following models were included in the merge: |
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* [nothingiisreal/MN-12B-Celeste-V1.9](https://huggingface.co/nothingiisreal/MN-12B-Celeste-V1.9) |
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* [intervitens/mini-magnum-12b-v1.1](https://huggingface.co/intervitens/mini-magnum-12b-v1.1) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: intervitens/mini-magnum-12b-v1.1 |
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parameters: |
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density: 0.3 |
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weight: 0.5 |
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- model: nothingiisreal/MN-12B-Celeste-V1.9 |
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parameters: |
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density: 0.7 |
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weight: 0.5 |
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merge_method: ties |
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base_model: nothingiisreal/MN-12B-Celeste-V1.9 |
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parameters: |
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normalize: true |
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int8_mask: true |
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dtype: bfloat16 |
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``` |
