base_model:
- princeton-nlp/Llama-3-Instruct-8B-SimPO
- Sao10K/L3-8B-Stheno-v3.2
library_name: transformers
tags:
- mergekit
- merge
- roleplay
- sillytavern
- llama3
- not-for-all-audiences
license: cc-by-nc-4.0
language:
- en
This version is solely for scientific purposes, of course.
Nymeria is the balanced version, doesn't force nsfw. Nymeria-Maid has more Stheno's weights, leans more on nsfw and is more submissive.
SillyTavern
Text Completion presets
temp 0.9
top_k 30
top_p 0.75
min_p 0.2
rep_pen 1.1
smooth_factor 0.25
smooth_curve 1
Advanced Formatting
Context & Instruct preset by Virt-io
Instruct Mode: Enabled
merge
This is a merge of pre-trained language models created using mergekit.
This model was merged using the slerp merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Sao10K/L3-8B-Stheno-v3.2
layer_range: [0, 32]
- model: princeton-nlp/Llama-3-Instruct-8B-SimPO
layer_range: [0, 32]
merge_method: slerp
base_model: Sao10K/L3-8B-Stheno-v3.2
parameters:
t:
- filter: self_attn
value: [0.2, 0.4, 0.4, 0.6]
- filter: mlp
value: [0.8, 0.6, 0.6, 0.4]
- value: 0.4
dtype: bfloat16
Original model information:
Model: Sao10K/L3-8B-Stheno-v3.2
Stheno-v3.2-Zeta
Changes compared to v3.1
- Included a mix of SFW and NSFW Storywriting Data, thanks to Gryphe
- Included More Instruct / Assistant-Style Data
- Further cleaned up Roleplaying Samples from c2 Logs -> A few terrible, really bad samples escaped heavy filtering. Manual pass fixed it.
- Hyperparameter tinkering for training, resulting in lower loss levels.
Testing Notes - Compared to v3.1
- Handles SFW / NSFW seperately better. Not as overly excessive with NSFW now. Kinda balanced.
- Better at Storywriting / Narration.
- Better at Assistant-type Tasks.
- Better Multi-Turn Coherency -> Reduced Issues?
- Slightly less creative? A worthy tradeoff. Still creative.
- Better prompt / instruction adherence.
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