
# IPT-125m (WIP)

IPT-125m is a decoder-style transformer pretrained from scratch on 4.36 billion tokens of Italian text from the [OSCAR-2301](https://huggingface.co/datasets/oscar-corpus/OSCAR-2301) dataset.

If you like this project, consider supporting me with a cup of coffee! 🤖✨🌞
[![Buy me a coffee](https://badgen.net/badge/icon/Buy%20Me%20A%20Coffee?icon=buymeacoffee&label)](https://bmc.link/edoardofederici)

## How to Use

This model is best used with the Hugging Face `transformers` library for training and finetuning.

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("efederici/ipt-125m", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("efederici/ipt-125m")
```

## Model Description

The architecture is a modification of a standard decoder-only transformer.

| Hyperparameter | Value |
|----------------|-------|
|n_parameters | 125M |
|n_layers | 12 |
| n_heads | 12 |
| d_model | 768 |
| vocab size | 50432 |
| sequence length | 2048 |

{"language": ["it"], "tags": ["ipt-125m"], "datasets": ["oscar-corpus/OSCAR-2301"]}
transformers pytorch mpt text-generation ipt-125m custom_code it dataset:oscar-corpus/OSCAR-2301 autotrain_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #mpt #text-generation #ipt-125m #custom_code #it #dataset-oscar-corpus/OSCAR-2301 #autotrain_compatible #text-generation-inference #region-us 

IPT-125m (WIP)
==============


IPT-125m is a decoder-style transformer pretrained from scratch on 4.36 billion tokens of Italian text from the OSCAR-2301 dataset.


If you like this project, consider supporting me with a cup of coffee!
![Buy me a coffee](URL


How to Use
----------


This model is best used with the Hugging Face 'transformers' library for training and finetuning.


Model Description
-----------------


The architecture is a modification of a standard decoder-only transformer.




TAGS
#transformers #pytorch #mpt #text-generation #ipt-125m #custom_code #it #dataset-oscar-corpus/OSCAR-2301 #autotrain_compatible #text-generation-inference #region-us 
