Versatile-Llama-3-8B
Not test this model, just based on brainstorming, release this.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using NousResearch/Meta-Llama-3-8B as a base.
Models Merged
The following models were included in the merge:
- nayohan/llama3-8b-it-translation-general-en-ko-1sent
- MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3
- cognitivecomputations/dolphin-2.9-llama3-8b
- NousResearch/Hermes-2-Pro-Llama-3-8B
- winglian/llama-3-8b-1m-PoSE
- asiansoul/Llama-3-Open-Ko-Linear-8B
- Danielbrdz/Barcenas-Llama3-8b-ORPO
- NousResearch/Meta-Llama-3-8B-Instruct
Configuration
The following YAML configuration was used to produce this model:
models:
- model: NousResearch/Meta-Llama-3-8B
# Base model providing a general foundation without specific parameters
- model: NousResearch/Meta-Llama-3-8B-Instruct
parameters:
density: 0.60
weight: 0.25
- model: winglian/llama-3-8b-1m-PoSE
parameters:
density: 0.55
weight: 0.15
- model: MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3
parameters:
density: 0.55
weight: 0.15
- model: asiansoul/Llama-3-Open-Ko-Linear-8B
parameters:
density: 0.55
weight: 0.2
- model: nayohan/llama3-8b-it-translation-general-en-ko-1sent
parameters:
density: 0.55
weight: 0.1
- model: cognitivecomputations/dolphin-2.9-llama3-8b
parameters:
density: 0.55
weight: 0.1
- model: Danielbrdz/Barcenas-Llama3-8b-ORPO
parameters:
density: 0.55
weight: 0.05
- model: NousResearch/Hermes-2-Pro-Llama-3-8B
parameters:
density: 0.55
weight: 0.1
merge_method: dare_ties
base_model: NousResearch/Meta-Llama-3-8B
parameters:
int8_mask: true
dtype: bfloat16
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