metadata
base_model:
- FPHam/L3-8B-Everything-COT
- ChaoticNeutrals/Domain-Fusion-L3-8B
- Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged
- Sao10K/L3-8B-Niitama-v1
- nothingiisreal/L3-8B-Celeste-V1.2
- Orenguteng/Llama-3-8B-Lexi-Uncensored
- OEvortex/Emotional-llama-8B
- Sao10K/L3-8B-Lunaris-v1
library_name: transformers
tags:
- mergekit
- merge
QuantFactory/L3-Luna-8B-GGUF
This is quantized version of Casual-Autopsy/L3-Luna-8B created using llama.cpp
Original Model Card
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using Sao10K/L3-8B-Lunaris-v1 as a base.
Models Merged
The following models were included in the merge:
- FPHam/L3-8B-Everything-COT
- ChaoticNeutrals/Domain-Fusion-L3-8B
- Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged
- Sao10K/L3-8B-Niitama-v1
- nothingiisreal/L3-8B-Celeste-V1.2
- Orenguteng/Llama-3-8B-Lexi-Uncensored
- OEvortex/Emotional-llama-8B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Sao10K/L3-8B-Lunaris-v1
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.5
weight: 0.1
- model: Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged
parameters:
density: 0.5
weight: 0.1
- model: OEvortex/Emotional-llama-8B
parameters:
density: 0.5
weight: 0.1
- model: ChaoticNeutrals/Domain-Fusion-L3-8B
parameters:
density: 0.75
weight: 0.05
- model: nothingiisreal/L3-8B-Celeste-V1.2
parameters:
density: 0.75
weight: 0.05
- model: Orenguteng/Llama-3-8B-Lexi-Uncensored
parameters:
density: 0.75
weight: 0.05
- model: Sao10K/L3-8B-Niitama-v1
parameters:
density: 0.75
weight: 0.05
base_model: Sao10K/L3-8B-Lunaris-v1
merge_method: ties
parameters:
normalize: true
dtype: bfloat16