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Nyxene-v1-11B

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Nyxene-v1-11B
File size: 2,876 Bytes 
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---
license: cc-by-nc-4.0
---

## Description

This repo contains bf16 files of Nyxene-v1-11B. Same as the [previous version](https://huggingface.co/beberik/Nyxene-11B) but I used newer models and tried to repeat what I experimented with when there were older models.

## Model used
- [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha)
- [openaccess-ai-collective/DPOpenHermes-7B](https://huggingface.co/openaccess-ai-collective/DPOpenHermes-7B)
- [fblgit/juanako-7b-UNA](https://huggingface.co/fblgit/juanako-7b-UNA)
- [chargoddard/loyal-piano-m7](https://huggingface.co/chargoddard/loyal-piano-m7)
- [argilla/notus-7b-v1](https://huggingface.co/argilla/notus-7b-v1)

I added a new model because after the same action but using zephyr and dolphin the model turned out to be more creative.

## Prompt template

The best one after further testing is this one:

```
<|system|>
Below is an instruction that describes a task. Write a response that appropriately completes the request.
<|user|>
{prompt}
<|assistant|>
```

## The secret sauce

loyal-piano with 1% of notus :
```
slices:
  - sources:
      - model: chargoddard/loyal-piano-m7
        layer_range: [0, 48]
      - model: argilla/notus-7b-v1
        layer_range: [0, 48]
merge_method: slerp
base_model: argilla/notus-7b-v1
parameters:
  t:
    - filter: lm_head 
      value: [0.75]
    - filter: embed_tokens
      value: [0.75]
    - filter: self_attn
      value: [0.75, 0.25]
    - filter: mlp
      value:  [0.25, 0.75]
    - filter: layernorm
      value: [0.5, 0.5]
    - filter: modelnorm
      value: [0.75]
    - value: 0.99 # fallback for rest of tensors
dtype: bfloat16
```

loyal-piano-m7-juanako-11B :
```
slices:
  - sources:
    - model: fblgit/juanako-7b-UNA
      layer_range: [0, 24]
  - sources:
    - model: ehartford/dolphin-2.1-mistral-7b
      layer_range: [8, 32]
merge_method: passthrough
dtype: bfloat16
```

Starling-DPOHermes-11B :
```
slices:
  - sources:
    - model: berkeley-nest/Starling-LM-7B-alpha
      layer_range: [0, 24]
  - sources:
    - model: mlabonne/NeuralHermes-2.5-Mistral-7B
      layer_range: [8, 32]
merge_method: passthrough
dtype: bfloat16
```

Nyxene-11B :
```
slices:
  - sources:
      - model: dolphin-juanako-11B
        layer_range: [0, 48]
      - model: Starling-NeuralHermes-11B
        layer_range: [0, 48]
merge_method: slerp
base_model: dolphin-juanako-11B
parameters:
  t:
    - filter: lm_head 
      value: [0.75]
    - filter: embed_tokens
      value: [0.75]
    - filter: self_attn
      value: [0.75, 0.25]
    - filter: mlp
      value:  [0.25, 0.75]
    - filter: layernorm
      value: [0.5, 0.5]
    - filter: modelnorm
      value: [0.75]
    - value: 0.5 # fallback for rest of tensors
dtype: bfloat16
```
I use [mergekit](https://github.com/cg123/mergekit) for all the manipulation told here.