Initial release
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- README.md +57 -0
- kukulemon-7B.Q8_0.gguf +3 -0
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README.md
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---
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license: cc-by-nc-4.0
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---
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---
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base_model:
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- grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B
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- KatyTheCutie/LemonadeRP-4.5.3
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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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license: cc-by-nc-4.0
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---
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# kukulemon-7B-GGUF
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This is a Q8_0 GGUF quant of (kukulemon-7B)[https://huggingface.co/grimjim/kukulemon-7B].
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A merger of two similar Kunoichi models with strong reasoning, hopefully resulting in "dense" encoding of said reasoning, was merged with a model targeting roleplay.
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I've tested with ChatML prompts with temperature=1.1 and minP=0.03. The model itself supports Alpaca format prompts. The model claims a context length of 32K, it seemed to lose coherence after 8K in my informal testing.
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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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You can also download [GGUF-IQ-Imatrix quants courtesy of Lewdiculous](https://huggingface.co/Lewdiculous/kukulemon-7B-GGUF-IQ-Imatrix/).
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There's also an [8.0bpw h8 exl2](https://huggingface.co/grimjim/kukulemon-7B-8.0bpw_h8_exl2) quant available.
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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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* [grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B](https://huggingface.co/grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B)
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* [KatyTheCutie/LemonadeRP-4.5.3](https://huggingface.co/KatyTheCutie/LemonadeRP-4.5.3)
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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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slices:
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- sources:
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- model: grimjim/kuno-kunoichi-v1-DPO-v2-SLERP-7B
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layer_range: [0, 32]
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- model: KatyTheCutie/LemonadeRP-4.5.3
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layer_range: [0, 32]
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# or, the equivalent models: syntax:
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# models:
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merge_method: slerp
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base_model: KatyTheCutie/LemonadeRP-4.5.3
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5 # fallback for rest of tensors
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dtype: float16
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```
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kukulemon-7B.Q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:9cc5b7822475c8974aaea43d5dbb8ea86e2d93b4dff49fb54bd9f8db5779579e
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size 7695857376
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