metadata
base_model:
- Sao10K/L3-8B-Stheno-v3.2
- NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
library_name: transformers
tags:
- mergekit
- merge
Best of L3-8B model for me. I choose 2 best variants to publish.
SMaid-V0.1: More smart, understand well content, more novelwriting. I like this version.
SMaid-V0.3: More talkative, active, energetic. It good enough
No V0.2 because I deleted it, it's a worst model of series.
I think Stheno and Lumumaid can be like a 'ying-yang', so I combine them, lol. Have test on Chaiverse, both of them got > 1995 elo score from begining. (Thanks Sao10K let me know about ChaiVerse :) )
SMaid = Stheno + LumiMaid
Below is the auto-generate by Mergekit
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- layer_range: [0, 16]
model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
parameters:
density: 0.5
weight: 1.0
- layer_range: [0, 16]
model: Sao10K/L3-8B-Stheno-v3.2
parameters:
density: 0.5
weight: 0.9
- sources:
- layer_range: [16, 24]
model: Sao10K/L3-8B-Stheno-v3.2
parameters:
density: 0.75
weight: 0.5
- layer_range: [16, 24]
model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
parameters:
density: 0.25
weight: 0.5
- sources:
- layer_range: [24, 32]
model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
parameters:
density: 0.5
weight: 0.5
- layer_range: [24, 32]
model: Sao10K/L3-8B-Stheno-v3.2
parameters:
density: 0.5
weight: 1.0
merge_method: dare_ties
base_model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
parameters:
int8_mask: true
dtype: bfloat16