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README.md

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+---
+base_model:
+- 152334H/miqu-1-70b-sf
+- NeverSleep/MiquMaid-v1-70B
+- Sao10K/WinterGoddess-1.4x-70B-L2
+library_name: transformers
+tags:
+- mergekit
+- merge
+---
+# aranea-ancilla-116b-v1.0
+**aka MiquMaid-v1-70B + interleaved WinterGoddess-1.4x-70B-L2**
+
+![image/png](https://cdn-lfs-us-1.huggingface.co/repos/48/9f/489fbacc2e1010ecebbf39059cdf0fe1043fcf62f158d2f2ab5ea61dcfbe7a57/e5134400ec8efe9313c010654f4385f42474d2ce77d0bd235849f95d683c2e35?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27aranea-ancilla.png%3B+filename%3D%22aranea-ancilla.png%22%3B&response-content-type=image%2Fpng&Expires=1710212291&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxMDIxMjI5MX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzQ4LzlmLzQ4OWZiYWNjMmUxMDEwZWNlYmJmMzkwNTljZGYwZmUxMDQzZmNmNjJmMTU4ZDJmMmFiNWVhNjFkY2ZiZTdhNTcvZTUxMzQ0MDBlYzhlZmU5MzEzYzAxMDY1NGY0Mzg1ZjQyNDc0ZDJjZTc3ZDBiZDIzNTg0OWY5NWQ2ODNjMmUzNT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSomcmVzcG9uc2UtY29udGVudC10eXBlPSoifV19&Signature=HqqQKWyY880iteX32ZUnXcxmgeFWE7CPAYqmwmdLKll5%7E8Mt6B62cOfwO0KXK1TlQjsdKA6KX%7EEzdVr88t%7EI7YAKnTupCT71%7EbDVkxf0NikC%7EQEWh%7Euf7pk8KXDRudVl2XgPBbWq%7Enx5oKEMlR0LSDkJ-Lq9nQPiSdTLU2WZLoWxuioLKQmxMJmXFsYJuaQDEq0G%7EgHEfeIb%7EVN51G7U6gUCxlXno5rizlZ8D7PjjF7Y-fPLnNLOiF2ViRa%7EtkWjbWY7z01l2MTBtZ3KBwYK6vlbHe42QryYkWtSGXRWD6qbqRavuXaT1bWEjGQRY12mqc3o2J4U9IyMXieV%7EzL39Q__&Key-Pair-Id=KCD77M1F0VK2B)
+
+A [mergekit](https://github.com/arcee-ai/mergekit) frankenmerge based on [NeverSleep/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).  
+This was the top performing model from a series of merge experiments to create a highly coherant creative writing model. 
+
+Tests consisted of a series of private benchmarks and manual comparisons. A number of different base models, interleave models and layer offsets were compared.
+
+- Usable context ~32768
+- Recommended context ~16384
+
+Non frankenstein miqu-1 finetunes generally outperform their frankenstein counterparts at very long contexts due to coherency loss.  
+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.
+
+Layers: 136
+
+### License
+
+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.
+
+### Interesting observations from benchmarking
+
+- 10 layer interleave stride with a 20 layer interleave width consistently outperformed alternatives combinations.
+- Offsetting the interleaved model's first set of layers generally improved coherency. [14-30] reliably beat the [10-30] mergekit slice configuration for various combinations of models.
+- 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.
+
+### Quantizations
+
+Exllamav2 quants will be available when bandwidth permits.