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--- |
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base_model: |
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- jondurbin/bagel-dpo-8x7b-v0.2 |
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- mistralai/Mixtral-8x7B-v0.1 |
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- Sao10K/Sensualize-Mixtral-bf16 |
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- mistralai/Mixtral-8x7B-v0.1 |
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- Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora |
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- mistralai/Mixtral-8x7B-Instruct-v0.1 |
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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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- `2.25b6h` -- 2.25bpw, 6bit lm_head |
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- `3.5b6h` -- 3.5bpw, 6bit lm_head |
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- `3.7b6h` -- 3.7bpw, 6bit lm_head |
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- `5b6h` -- 5bpw, 6bit lm_head |
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- `6b6h` -- 6bpw, 6bit lm_head |
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Requires ExllamaV2 version 0.0.12 and up. |
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Original model link: [ycros/BagelWorldTour-8x7B](https://huggingface.co/ycros/BagelWorldTour-8x7B) |
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Original model README below. |
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*** |
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# BagelWorldTour |
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Requested by [kalomaze](https://huggingface.co/kalomaze) |
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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 Details |
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### Merge Method |
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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [jondurbin/bagel-dpo-8x7b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-8x7b-v0.2) |
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* [Sao10K/Sensualize-Mixtral-bf16](https://huggingface.co/Sao10K/Sensualize-Mixtral-bf16) |
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* [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) + [Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora](https://huggingface.co/Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora) |
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* [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) |
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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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base_model: mistralai/Mixtral-8x7B-v0.1 |
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models: |
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- model: mistralai/Mixtral-8x7B-v0.1+Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora |
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parameters: |
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density: 0.5 |
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weight: 0.1 |
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- model: Sao10K/Sensualize-Mixtral-bf16 |
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parameters: |
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density: 0.5 |
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weight: 0.1 |
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- model: mistralai/Mixtral-8x7B-Instruct-v0.1 |
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parameters: |
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density: 0.66 |
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weight: 1.0 |
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- model: jondurbin/bagel-dpo-8x7b-v0.2 |
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parameters: |
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density: 0.66 |
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weight: 0.5 |
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merge_method: dare_ties |
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dtype: bfloat16 |
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``` |
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