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--- |
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base_model: |
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- mistralai/Mixtral-8x7B-v0.1 |
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- mistralai/Mixtral-8x7B-Instruct-v0.1 |
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- jondurbin/bagel-dpo-8x7b-v0.2 |
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- cognitivecomputations/dolphin-2.7-mixtral-8x7b |
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- NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss |
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- ycros/BagelMIsteryTour-v2-8x7B |
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- smelborp/MixtralOrochi8x7B |
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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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--- |
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Quantized using 200 samples of 8192 tokens from an RP-oriented [PIPPA](https://huggingface.co/datasets/royallab/PIPPA-cleaned) dataset. |
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Branches: |
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- `main` -- `measurement.json` |
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- `6b6h` -- 6bpw, 6bit lm_head |
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- `5b6h` -- 5bpw, 6bit lm_head |
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- `3.5b6h` -- 3.5bpw, 6bit lm_head |
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- `2.25b6h` -- 2.25bpw, 6bit lm_head |
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Requires ExllamaV2 version 0.0.12 and up. |
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Original model link: [rhplus0831/maid-yuzu-v8-alter](https://huggingface.co/rhplus0831/maid-yuzu-v8-alter) |
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Original model README below. |
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*** |
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# maid-yuzu-v8-alter |
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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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v7's approach worked better than I thought, so I tried something even weirder as a test. I don't think a proper model will come out, but I'm curious about the results. |
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## Merge Details |
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### Merge Method |
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This model was merged using the SLERP merge method. |
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This models were merged using the SLERP method in the following order: |
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maid-yuzu-v8-base: mistralai/Mixtral-8x7B-v0.1 + mistralai/Mixtral-8x7B-Instruct-v0.1 = 0.5 |
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maid-yuzu-v8-step1: above + jondurbin/bagel-dpo-8x7b-v0.2 = 0.25 |
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maid-yuzu-v8-step2: above + cognitivecomputations/dolphin-2.7-mixtral-8x7b = 0.25 |
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maid-yuzu-v8-step3: above + NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss = 0.25 |
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maid-yuzu-v8-step4-alter: above + ycros/BagelMIsteryTour-v2-8x7B = 0.5 |
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maid-yuzu-v8-alter: above + smelborp/MixtralOrochi8x7B = 0.5 |
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### Models Merged |
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The following models were included in the merge: |
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* [smelborp/MixtralOrochi8x7B](https://huggingface.co/smelborp/MixtralOrochi8x7B) |
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* ../maid-yuzu-v8-step4-alter |
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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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base_model: |
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model: |
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path: ../maid-yuzu-v8-step4-alter |
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dtype: bfloat16 |
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merge_method: slerp |
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parameters: |
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t: |
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- value: 0.5 |
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slices: |
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- sources: |
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- layer_range: [0, 32] |
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model: |
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model: |
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path: ../maid-yuzu-v8-step4-alter |
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- layer_range: [0, 32] |
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model: |
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model: |
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path: smelborp/MixtralOrochi8x7B |
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``` |
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