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---
license: other
pipeline_tag: text-generation
datasets:
- cosimoiaia/Loquace-102k
language:
- it
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
An open-source LLaMa language model of 13b parameters fine-tuned to follow instructions in italian.
### Model Description
This model is an open-source LLM of 13b parameters based on [OpenLLaMA](https://github.com/openlm-research/open_llama), an open-source replica of Meta AI's LLaMA.
The model was fine-tuned in order to follow instructions, as proposed in [Alpaca](https://github.com/tatsu-lab/stanford_alpaca),
but using [LoRA](https://arxiv.org/pdf/2106.09685.pdf) technique and a bigger dataset of instruction/answers in italian, [cosimoiaia/Loquace-102k](https://huggingface.co/datasets/cosimoiaia/Loquace-102k/viewer/cosimoiaia--Loquace-102k).
This repository contains the model merged with the LoRA adapters obtained in the fine-tuning procedure.
- **Developed by:** Stefano Scotta (stefano.scotta@rai.it)
- **Model type:** LLM fine-tuned to follow instructions
- **Language(s) (NLP):** Italian
- **License:** [More Information Needed]
- **Finetuned from model:** [openlm-research/open_llama_13b](https://huggingface.co/openlm-research/open_llama_13b)
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
The model was fine-tinuned on [cosimoiaia/Loquace-102k](https://huggingface.co/datasets/cosimoiaia/Loquace-102k/viewer/cosimoiaia--Loquace-102k), a dataset of 102k question/answer pairs in italian.
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
The fine-tuning procedure was done using [LoRA](https://arxiv.org/pdf/2106.09685.pdf) approach following closely what done for fine-tuning models like [Alpaca-LoRA](https://github.com/tloen/alpaca-lora).
#### Training Hyperparameters
**Training setting:**
- train epochs=3,
- learning_rate=3e-4,
- optimizer="adamw_hf"
- mixed precision training: float16
**LoRA configuration:**
- r= 8
- lora_alpha=16
- target_modules=["q_proj","v_proj"]
- lora_dropout=0.05
- bias="none"
- task_type=TaskType.CAUSAL_LM
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** 1 NVIDIA A100/40Gb
- **Hours used:** 68
- **Cloud Provider:** Private Infrastructure
- **Carbon Emitted:** 7.34 kg eq. CO2
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
Stefano Scotta (stefano.scotta@rai.it)
## Model Card Contact
stefano.scotta@rai.it |