Description

This repo contains bf16 files of Nyxene-v2-11B. It feels like with the new models, 1% is no longer needed as in the previous version. And yes, new version. Again.

Model used

• berkeley-nest/Starling-LM-7B-alpha
• openaccess-ai-collective/DPOpenHermes-7B
• fblgit/fblgit/una-cybertron-7b-v2
• chargoddard/loyal-piano-m7-cdpo

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-cybertron-11B :

slices:
 - sources:
 - model: fblgit/una-cybertron-7b-v2
 layer_range: [0, 24]
 - sources:
 - model: chargoddard/loyal-piano-m7-cdpo
 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: openaccess-ai-collective/DPOpenHermes-7B
 layer_range: [8, 32]
merge_method: passthrough
dtype: bfloat16

Nyxene-11B :

slices:
 - sources:
 - model: loyal-piano-cybertron-11B
 layer_range: [0, 48]
 - model: Starling-NeuralHermes-11B
 layer_range: [0, 48]
merge_method: slerp
base_model: loyal-piano-cybertron-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 for all the manipulation told here.

Thanks to the Undi95 for the original 11B mistral merge recipe.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here