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--- |
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base_model: |
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- 152334H/miqu-1-70b-sf |
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- NeverSleep/MiquMaid-v1-70B |
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- Sao10K/WinterGoddess-1.4x-70B-L2 |
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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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# aranea-ancilla-70b-v1.0 |
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**aka MiquMaid-v1-70B + interleaved WinterGoddess-1.4x-70B-L2** |
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A [mergekit](https://github.com/arcee-ai/mergekit) frankenmerge based on [MiquMaid-v1-70B](https://huggingface.co/NeverSleep/MiquMaid-v1-70B) with interleaved layers of [Sao10K/WinterGoddess-1.4x-70B-L2](https://huggingface.co/Sao10K/WinterGoddess-1.4x-70B-L2). |
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This was the top performing model from a series of merge experiments to create a highly coherant creative writing model. |
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Tests consisted of a series of private benchmarks and manual comparisons. A number of different base models, interleave models and layer offsets were compared. |
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- Usable context ~32768 |
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- Recommended context ~16384 |
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Non frankenstein miqu-1 finetunes generally outperform their frankenstein counterparts at very long contexts due to coherency loss. |
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As a rough suggestion I might suggest swapping out to either [NeverSleep/MiquMaid-v1-70B](https://huggingface.co/NeverSleep/MiquMaid-v1-70B) or [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf) after 16k context. |
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Layers: 136 |
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### License |
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No license. Component models based on the [Mistral AI Miqu-1](https://huggingface.co/miqudev/miqu-1-70b/tree/main) llama2 finetune that was released without license. |
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### Interesting observations from benchmarking |
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- 10 layer interleave stride with a 20 layer interleave width consistently outperformed alternatives combinations. |
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- Offsetting the interleaved model's first set of layers generally improved coherency. [14-30] reliably beat the [10-30] mergekit slice configuration for combinations of models. |
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- Quality of resulting merges can vary wildly. Whilst a merge of two strong models tends to produce a strong frankenstein model, this rule does not always hold true. |
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### Quantizations |
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Exllamav2 quants will be available when bandwidth permits. |
