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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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## Description
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This repo contains bf16 files of Nyxene-v1-11B. It feels like with the new models, 1% is no longer needed as in the [previous version](https://huggingface.co/beberik/Nyxene-v1-11B).
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## Model used
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- [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha)
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- [openaccess-ai-collective/DPOpenHermes-7B](https://huggingface.co/openaccess-ai-collective/DPOpenHermes-7B)
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- [fblgit/fblgit/una-cybertron-7b-v2](https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16)
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- [chargoddard/loyal-piano-m7-cdpo](https://huggingface.co/chargoddard/loyal-piano-m7-cdpo)
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## Prompt template
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The best one after further testing is this one:
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```
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<|system|>
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Below is an instruction that describes a task. Write a response that appropriately completes the request.
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<|user|>
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{prompt}
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<|assistant|>
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```
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## The secret sauce
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loyal-piano-cybertron-11B :
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```
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slices:
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- sources:
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- model: fblgit/una-cybertron-7b-v2
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layer_range: [0, 24]
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- sources:
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- model: chargoddard/loyal-piano-m7-cdpo
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layer_range: [8, 32]
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merge_method: passthrough
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dtype: bfloat16
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```
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Starling-DPOHermes-11B :
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```
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slices:
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- sources:
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- model: berkeley-nest/Starling-LM-7B-alpha
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layer_range: [0, 24]
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- sources:
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- model: openaccess-ai-collective/DPOpenHermes-7B
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layer_range: [8, 32]
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merge_method: passthrough
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dtype: bfloat16
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```
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Nyxene-11B :
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```
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slices:
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- sources:
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- model: loyal-piano-cybertron-11B
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layer_range: [0, 48]
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- model: Starling-NeuralHermes-11B
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layer_range: [0, 48]
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merge_method: slerp
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base_model: dolphin-juanako-11B
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parameters:
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t:
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- filter: lm_head
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value: [0.75]
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- filter: embed_tokens
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value: [0.75]
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- filter: self_attn
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value: [0.75, 0.25]
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- filter: mlp
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value: [0.25, 0.75]
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- filter: layernorm
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value: [0.5, 0.5]
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- filter: modelnorm
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value: [0.75]
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- value: 0.5 # fallback for rest of tensors
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dtype: bfloat16
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```
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I use [mergekit](https://github.com/cg123/mergekit) for all the manipulation told here.
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