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--- |
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base_model: [] |
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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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- `6b6h` -- 6bpw, 6bit lm_head |
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Requires ExllamaV2 version 0.0.12 and up. |
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Original model link: [rAIfle/0x01-7x8b-hf](https://huggingface.co/rAIfle/0x01-7x8b-hf) |
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Original model README below. |
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*** |
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# 0x01-7x8B-hf |
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here we go again. multi-step merge, various models involved at various ratios with various methods. |
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this thing came to me in a fever dream when I was hung over, but after slightly tweaking the recipe it turned out surprisingly decent. using with the settings included. |
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## Constituent parts |
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```yaml |
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# primordial_slop_a: |
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- model: mistralai/Mixtral-8x7B-v0.1+retrieval-bar/Mixtral-8x7B-v0.1_case-briefs |
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- model: mistralai/Mixtral-8x7B-v0.1+SeanWu25/Mixtral_8x7b_Medicine |
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- model: mistralai/Mixtral-8x7B-v0.1+SeanWu25/Mixtral_8x7b_WuKurtz |
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- model: mistralai/Mixtral-8x7B-v0.1+Epiculous/crunchy-onion-lora |
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- model: mistralai/Mixtral-8x7B-v0.1+maxkretchmer/gc-mixtral |
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# primordial_slop_b: |
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- model: Envoid/Mixtral-Instruct-ITR-8x7B |
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- model: crestf411/daybreak-mixtral-8x7b-v1.0-hf |
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- model: NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO |
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- model: orangetin/OpenHermes-Mixtral-8x7B |
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- model: mistralai/Mixtral-8x7B-Instruct-v0.1+idegroup/PhyAssistant |
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- model: ycros/crunchy-onion-nx |
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- model: jondurbin/bagel-dpo-8x7b-v0.2 |
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- model: amoldwalunj/Mixtral-8x7B-Instruct-v0.1-legal_finetune_mixtral_32k |
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# primordial_slop_c: a+b |
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# primordial_slop_d: |
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- model: Sao10K/Sensualize-Mixtral-bf16 |
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- model: Envoid/Mixtral-Instruct-ITR-DADA-8x7B |
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``` |
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# mergekit |
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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 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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* ./primordial_slop_d |
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* ./primordial_slop_c |
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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: ./primordial_slop_c |
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- model: ./primordial_slop_d |
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merge_method: slerp |
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base_model: ./primordial_slop_c |
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parameters: |
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t: |
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- value: 0.33 |
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dtype: float16 |
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``` |
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