Post
1623
💬 🇮🇹 Phi 3.5 mini ITA: a Small Language Model for Italian
Lately, I've spent some time fine-tuning language models.
Now I am happy to release Phi 3.5 mini ITA: a fine-tuned version of Phi-3.5-mini-instruct to improve performance on the Italian language
🔹 Small (3.82 B parameters) but capable model
🔹 128k context length
Chat with it on 🤗 Spaces: anakin87/Phi-3.5-mini-ITA
Model card: anakin87/Phi-3.5-mini-ITA
🗃️ Data
Supervised fine-tuning using a good mix of English and Italian data:
- mlabonne/FineTome-100k by @mlabonne
- efederici/capybara-claude-15k-ita by @efederici
🙏 Thanks to the authors for the datasets.
🎯 Targeted training with Spectrum
I used Spectrum, a relatively new technique for parameter-efficient learning.
The idea is to train only the layers of the model with high Signal-to-Noise Ratio (SNR) and ❄️ freeze the rest.
I trained the top 30% of model layers.
📝 Spectrum paper: https://arxiv.org/abs/2406.06623
📊 Vibe check and performance on Italian benchmarks seem encouraging
Lately, I've spent some time fine-tuning language models.
Now I am happy to release Phi 3.5 mini ITA: a fine-tuned version of Phi-3.5-mini-instruct to improve performance on the Italian language
🔹 Small (3.82 B parameters) but capable model
🔹 128k context length
Chat with it on 🤗 Spaces: anakin87/Phi-3.5-mini-ITA
Model card: anakin87/Phi-3.5-mini-ITA
🗃️ Data
Supervised fine-tuning using a good mix of English and Italian data:
- mlabonne/FineTome-100k by @mlabonne
- efederici/capybara-claude-15k-ita by @efederici
🙏 Thanks to the authors for the datasets.
🎯 Targeted training with Spectrum
I used Spectrum, a relatively new technique for parameter-efficient learning.
The idea is to train only the layers of the model with high Signal-to-Noise Ratio (SNR) and ❄️ freeze the rest.
I trained the top 30% of model layers.
📝 Spectrum paper: https://arxiv.org/abs/2406.06623
📊 Vibe check and performance on Italian benchmarks seem encouraging
