YACHT-Llama-3-KoEn-8B
🎵 [JayLee LLMs Signature Tag] : ✍️ "I need a Jay Jay chat boy" 🎵
✨ Navigating the High Seas of Data: Crafting the Ultimate Yacht Insights with Merged LLMs ✨
✨ Aren’t you sometimes tired of just doing LLM & RAG & Normal Chat app? I'll show you a cool app soon integrating this my merged one(Tuned car). It wouldn't be fun if we only developed cars, so life is ultimately about driving cars and socializing with people. ✨
🧨 When using the Merge model for commercial purposes, a lot of care is needed. A mix of many models can be good, but it can also pose many risks. 🧨
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(.venv) jaylee@lees-MacBook-Pro-2 merge % /opt/homebrew/Cellar/[email protected]/3.12.3/Frameworks/Python.framework/Versions/3.12/lib/python3.12/multiprocessing/resource_tracker.py:254: UserWarning: resource_tracker: There appear to be 1 leaked semaphore objects to clean up at shutdown
warnings.warn('resource_tracker: There appear to be %d '
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:
- beomi/Llama-3-KoEn-8B-Instruct-preview
- saltlux/Ko-Llama3-Luxia-8B
- cognitivecomputations/dolphin-2.9-llama3-8b
- nvidia/Llama3-ChatQA-1.5-8B
- aaditya/Llama3-OpenBioLLM-8B
- Danielbrdz/Barcenas-Llama3-8b-ORPO
- beomi/Llama-3-KoEn-8B-preview
- abacusai/Llama-3-Smaug-8B
- NousResearch/Meta-Llama-3-8B-Instruct
Configuration
The following YAML configuration was used to produce this model:
models:
- model: NousResearch/Meta-Llama-3-8B
- model: NousResearch/Meta-Llama-3-8B-Instruct
parameters:
density: 0.60
weight: 0.25
- model: beomi/Llama-3-KoEn-8B-preview
parameters:
density: 0.55
weight: 0.2
- model: saltlux/Ko-Llama3-Luxia-8B
parameters:
density: 0.55
weight: 0.15
- model: beomi/Llama-3-KoEn-8B-Instruct-preview
parameters:
density: 0.55
weight: 0.15
- model: nvidia/Llama3-ChatQA-1.5-8B
parameters:
density: 0.55
weight: 0.1
- model: cognitivecomputations/dolphin-2.9-llama3-8b
parameters:
density: 0.55
weight: 0.05
- model: Danielbrdz/Barcenas-Llama3-8b-ORPO
parameters:
density: 0.55
weight: 0.05
- model: abacusai/Llama-3-Smaug-8B
parameters:
density: 0.55
weight: 0.05
- model: aaditya/Llama3-OpenBioLLM-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
Test
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