Experimental merge of Sao10k Llama3-8B based model
L3-SAO-MIX-8B-V1
This is a merge of pre-trained language models created using mergekit.
I'm trying to combine the best model from Sao10k. And turn out, this is beyond my expectation. I use it for RP and ERP on scenario card. And it follow the instruction very well (At least for me). All credits and thanks go to Sao10k for providing amazing models used in the merge.
Prompt template: Llama3 Instruct.
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
{output}<|eot_id|>
Settings
Temprature: 1.3
Min-P: 0.1
// If using DRY
Multiplier: 2
Base: 1.75
Allowed Length: 2
Penalty Range: 0
Merge Method
This model was merged using the della merge method using Sao10K/L3-8B-Niitama-v1 as a base.
Models Merged
The following models were included in the merge:
- Sao10K/L3-8B-Lunaris-v1
- Sao10K/L3-8B-Stheno-v3.2
- Sao10K/L3-8B-Niitama-v1
- Sao10K/L3-8B-Tamamo-v1
Configuration
The following YAML configuration was used to produce this model:
base_model: Sao10K/L3-8B-Niitama-v1
merge_method: della
dtype: bfloat16
models:
- model: Sao10K/L3-8B-Lunaris-v1
parameters:
weight: 1.0
- model: Sao10K/L3-8B-Stheno-v3.2
parameters:
weight: 1.0
- model: Sao10K/L3-8B-Niitama-v1
parameters:
weight: 1.0
- model: Sao10K/L3-8B-Tamamo-v1
parameters:
weight: 1.0