Llama-3-8b-ita-slerp
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.
Evaluation
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 | 0.6879 | 0.5714 | 0.5732 | 0.6109 |
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
layer_range:
- 0
- 32
- model: DeepMount00/Llama-3-8b-Ita
layer_range:
- 0
- 32
merge_method: slerp
base_model: swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
parameters:
t:
- filter: self_attn
value:
- 0
- 0.5
- 0.3
- 0.7
- 1
- filter: mlp
value:
- 1
- 0.5
- 0.7
- 0.3
- 0
- value: 0.5
dtype: bfloat16