
# Model Card for Carpincho-13b

<!-- Provide a quick summary of what the model is/does. -->

This is Carpincho-13B an Instruction-tuned LLM based on LLama-13B. It is trained to answer in colloquial spanish Argentine language.
It's based on LLama-13b (https://huggingface.co/decapoda-research/llama-13b-hf).

## Model Details

The model is provided in two formats: A low rank adaptation model (LoRA) suitable to apply directly to LLama-13B-HF, 
and a complete merged model quantized to 4bits that only requires 8GB of VRAM. Both models can be used directly in software like
text-generation-webui https://github.com/oobabooga/text-generation-webui.
Additionally, a test chatbot based on this neural network is running on the twitter account http://twitter.com/arggpt

### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Developed by:** Alfredo Ortega (@ortegaalfredo)
- **Model type:** 13B LLM
- **Language(s):** (NLP): English and colloquial Argentine Spanish
- **License:** Free for non-commercial use
- **Finetuned from model:** https://huggingface.co/decapoda-research/llama-13b-hf

### Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Repository:** https://huggingface.co/decapoda-research/llama-13b-hf
- **Paper [optional]:** https://arxiv.org/abs/2302.13971

## 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. -->
This is a generic LLM chatbot that can be used to interact directly with humans.

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->
This bot is uncensored and may provide shocking answers. Also it contains bias present in the training material.


### 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. 

## How to Get Started with the Model

The easiest way is to download the text-generation-webui application (https://github.com/oobabooga/text-generation-webui) and place the model inside the 'models' directory.
Then launch the web interface and run the model as a regular LLama-13B model. LoRA model don't require additional installation, but 4-bit mode (only uses 25% GPU VRAM) needs
additional installation steps detailed at https://github.com/oobabooga/text-generation-webui/blob/main/docs/GPTQ-models-(4-bit-mode).md

## Model Card Contact

Contact the creator at @ortegaalfredo on twitter/github
{"language": ["en", "es"]}
transformers pytorch llama text-generation en es arxiv:2302.13971 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #llama #text-generation #en #es #arxiv-2302.13971 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# Model Card for Carpincho-13b



This is Carpincho-13B an Instruction-tuned LLM based on LLama-13B. It is trained to answer in colloquial spanish Argentine language.
It's based on LLama-13b (URL

## Model Details

The model is provided in two formats: A low rank adaptation model (LoRA) suitable to apply directly to LLama-13B-HF, 
and a complete merged model quantized to 4bits that only requires 8GB of VRAM. Both models can be used directly in software like
text-generation-webui URL
Additionally, a test chatbot based on this neural network is running on the twitter account URL

### Model Description





- Developed by: Alfredo Ortega (@ortegaalfredo)
- Model type: 13B LLM
- Language(s): (NLP): English and colloquial Argentine Spanish
- License: Free for non-commercial use
- Finetuned from model: URL

### Model Sources [optional]



- Repository: URL
- Paper [optional]: URL

## Uses


This is a generic LLM chatbot that can be used to interact directly with humans.

## Bias, Risks, and Limitations


This bot is uncensored and may provide shocking answers. Also it contains bias present in the training material.


### Recommendations



Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. 

## How to Get Started with the Model

The easiest way is to download the text-generation-webui application (URL and place the model inside the 'models' directory.
Then launch the web interface and run the model as a regular LLama-13B model. LoRA model don't require additional installation, but 4-bit mode (only uses 25% GPU VRAM) needs
additional installation steps detailed at URL

## Model Card Contact

Contact the creator at @ortegaalfredo on twitter/github
# Model Card for Carpincho-13b



This is Carpincho-13B an Instruction-tuned LLM based on LLama-13B. It is trained to answer in colloquial spanish Argentine language.
It's based on LLama-13b (URL ## Model Details

The model is provided in two formats: A low rank adaptation model (LoRA) suitable to apply directly to LLama-13B-HF, 
and a complete merged model quantized to 4bits that only requires 8GB of VRAM. Both models can be used directly in software like
text-generation-webui URL
Additionally, a test chatbot based on this neural network is running on the twitter account URL ### Model Description





- Developed by: Alfredo Ortega (@ortegaalfredo)
- Model type: 13B LLM
- Language(s): (NLP): English and colloquial Argentine Spanish
- License: Free for non-commercial use
- Finetuned from model: URL ### Model Sources [optional]



- Repository: URL
- Paper [optional]: URL ## Uses


This is a generic LLM chatbot that can be used to interact directly with humans. ## Bias, Risks, and Limitations


This bot is uncensored and may provide shocking answers. Also it contains bias present in the training material. ### Recommendations



Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. ## How to Get Started with the Model

The easiest way is to download the text-generation-webui application (URL and place the model inside the 'models' directory.
Then launch the web interface and run the model as a regular LLama-13B model. LoRA model don't require additional installation, but 4-bit mode (only uses 25% GPU VRAM) needs
additional installation steps detailed at URL ## Model Card Contact

Contact the creator at @ortegaalfredo on twitter/github
TAGS
#transformers #pytorch #llama #text-generation #en #es #arxiv-2302.13971 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Model Card for Carpincho-13b



This is Carpincho-13B an Instruction-tuned LLM based on LLama-13B. It is trained to answer in colloquial spanish Argentine language.
It's based on LLama-13b (URL ## Model Details

The model is provided in two formats: A low rank adaptation model (LoRA) suitable to apply directly to LLama-13B-HF, 
and a complete merged model quantized to 4bits that only requires 8GB of VRAM. Both models can be used directly in software like
text-generation-webui URL
Additionally, a test chatbot based on this neural network is running on the twitter account URL ### Model Description





- Developed by: Alfredo Ortega (@ortegaalfredo)
- Model type: 13B LLM
- Language(s): (NLP): English and colloquial Argentine Spanish
- License: Free for non-commercial use
- Finetuned from model: URL ### Model Sources [optional]



- Repository: URL
- Paper [optional]: URL ## Uses


This is a generic LLM chatbot that can be used to interact directly with humans. ## Bias, Risks, and Limitations


This bot is uncensored and may provide shocking answers. Also it contains bias present in the training material. ### Recommendations



Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. ## How to Get Started with the Model

The easiest way is to download the text-generation-webui application (URL and place the model inside the 'models' directory.
Then launch the web interface and run the model as a regular LLama-13B model. LoRA model don't require additional installation, but 4-bit mode (only uses 25% GPU VRAM) needs
additional installation steps detailed at URL ## Model Card Contact

Contact the creator at @ortegaalfredo on twitter/github