---
base_model: unsloth/Meta-Llama-3.2-1B-Instruct
language:
- en
- es
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- gguf
- q4_k_m
- 4bit
- sharegpt
- pretaining
- finetuning
- Q5_K_M
- Q8_0
datasets:
- ussipan/sipangpt
pipeline_tag: text2text-generation
new_version: ussipan/SipanGPT-0.3-Llama-3.2-1B-GGUF
---
# SipánGPT 0.1 Llama 3.2 1B GGUF
- Modelo pre-entrenado para responder preguntas de la Universidad Señor de Sipán de Lambayeque, Perú.
- Pre-trained model to answer questions from the Señor de Sipán University of Lambayeque, Peru.

## Testing the model

![image/png](https://cdn-uploads.huggingface.co/production/uploads/644474219174daa2f6919d31/NcZms2ChvHMURrl29eMiW.png)

- Debido a la poca cantidad de conversaciones con las que fue entrenado (400 conversaciones), el modelo genera bastantes alucinaciones.
- Due to the small number of conversations with which it was trained (400 conversations), the model generates quite a few hallucinations.


# Uploaded  model

- **Developed by:** jhangmez
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Meta-Llama-3.2-1B-Instruct

This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

---

## SipánGPT 0.1 Llama 3.2 1B GGUF

<div style="display: flex; align-items: center; height: fit-content;">
  <img src="https://avatars.githubusercontent.com/u/60937214?v=4" width="40" style="margin-right: 10px;"/>
  <span>Hecho con ❤️ por Jhan Gómez P.</span>
</div>