๐ฎ๐น Italian Merges
Collection
I tried to merge two of the best Italian LLMs using Mergekit. The results are acceptable, but I could not improve on the best existing model.
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Updated
This is a merge of pre-trained language models created using mergekit.
I tried to merge two of the best Italian LLMs using Mergekit. The results are acceptable, but I could not improve on the best existing model.
For a detailed comparison of model performance, check out the Leaderboard for Italian Language Models.
Here's a breakdown of the performance metrics:
Metric | hellaswag_it acc_norm | arc_it acc_norm | m_mmlu_it 5-shot acc | Average |
---|---|---|---|---|
Accuracy Normalized | 0.6967 | 0.5646 | 0.5717 | 0.6110 |
This model was merged using the TIES merge method using meta-llama/Meta-Llama-3-8B-Instruct as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: meta-llama/Meta-Llama-3-8B-Instruct
# no parameters necessary for base model
- model: swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
parameters:
density: 0.7
weight: 0.6
- model: DeepMount00/Llama-3-8b-Ita
parameters:
density: 0.7
weight: 0.3
merge_method: ties
base_model: meta-llama/Meta-Llama-3-8B-Instruct
parameters:
normalize: true
dtype: bfloat16