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--- |
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base_model: [] |
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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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- llama |
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- not-for-all-audiences |
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license: other |
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--- |
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# Silver-Sun-v2-11B |
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%3C!-- HTML_TAG_END --> |
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> This is an updated version of Silver-Sun-11B. The change is that now the Solstice-FKL-v2-10.7B merge uses Sao10K/Fimbulvetr-11B-v2 instead of v1. |
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> Additionally, the config of the original Silver-Sun was wrong, and I have also updated that. |
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> As expected, this is a HIGHLY uncensored model. It should perform even better than the v1 due to the updated Fimb, and the fixed config. |
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**Works with Alpaca, and from my tests, also ChatML. However Alpaca may be a better option. Try it out and use whatever works better for you.** |
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**Due to a quirk with Solar, if you want the best quality either launch at 4K context, or launch at 8K (and possibly beyond - have not tested it that high) with 4k context pre-loaded in the prompt.** |
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> This model is intended for fictional storytelling and writing, focusing on NSFW capabilities and lack of censorship for RP reasons. |
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[GGUF / IQ / Imatrix](https://huggingface.co/ABX-AI/Silver-Sun-v2-11B-GGUF-IQ-Imatrix) |
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## Merge Details |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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### Merge Method |
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This model was merged using the SLERP merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* [Himitsui/Kaiju-11B](https://huggingface.co/Himitsui/Kaiju-11B) |
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* ABX-AI/Solstice-FKL-v2-10.7B |
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>[!NOTE] |
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>A mixture of [Sao10K/Solstice-11B-v1](https://huggingface.co/Sao10K/Solstice-11B-v1) and |
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>[ABX-AI/Fimbulvetr-Kuro-Lotus-v2-10.7B] which is updated saishf/Fimbulvetr-Kuro-Lotus-10.7B with Fimb v2 |
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### OpenLLM Eval Results |
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[Detailed Results + Failed GSM8K](https://huggingface.co/datasets/open-llm-leaderboard/details_ABX-AI__Silver-Sun-v2-11B) |
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>[!NOTE] |
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>I had to remove GSM8K from the results and manually re-average the rest. GSM8K failed due to some issue with formatting, which is not experienced during practical usage. |
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>By removing the GSM8K score, the average is VERY close to upstage/SOLAR-10.7B-v1.0 (74.20), which would make sense. |
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>Feel free to ignore the actual average and use the other scores individually for reference. |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |74.04| |
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|AI2 Reasoning Challenge (25-Shot)|69.88| |
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|HellaSwag (10-Shot) |87.81| |
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|MMLU (5-Shot) |66.74| |
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|TruthfulQA (0-shot) |62.49| |
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|Winogrande (5-shot) |83.27| |
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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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slices: |
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- sources: |
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- model: ./MODELS/Solstice-FKL-v2-10.7B |
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layer_range: [0, 48] |
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- model: Himitsui/Kaiju-11B |
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layer_range: [0, 48] |
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merge_method: slerp |
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base_model: ./MODELS/Solstice-FKL-v2-10.7B |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0.6, 0.7, 0.8, 0.9, 1] |
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- filter: mlp |
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value: [0.4, 0.3, 0.2, 0.1, 0] |
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- value: 0.5 |
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dtype: bfloat16 |
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``` |
