---
library_name: transformers
license: apache-2.0
language:
- en
pipeline_tag: text-generation
inference: false
base_model:
- explorewithai/Loxa-3B
model_size:
- 4.75B
tags:
- text-generation
- conversational
- language-model
- cpu
widget:
- text: "Who are you?"
---


# Model Card for Laxo-3B

**Model Name:** Laxo-3B

**Model Family:** Laxo

**Creator:** AIFRAME

**Description:** Laxo-3B is a powerful language model designed for optimal performance on CPU resources, particularly Raspberry Pi 4 and 5 (8GB+ RAM). It excels in math, code, chat, help, science, and formal conversations, achieving 92% total accuracy.

**Capabilities:**

* **Mathematics:** Solves problems, performs calculations, explains concepts.
* **Code:** Generates code, understands/debugs existing code, provides explanations.
* **Chat:** Engages in conversations, provides informative and helpful responses.
* **Help:** Offers guidance and clear explanations across various topics.
* **Science:** Discusses scientific topics, explains phenomena, provides insights.
* **Formal Conversations:** Maintains formal etiquette and respectful language.  

**Performance:**

* **Accuracy:** 92% total accuracy.
* **Resource Usage:** Optimized for Raspberry Pi 4/5 (8GB+ RAM).  Consult documentation for detailed metrics.

**Intended Use:**  Educational purposes, personal projects, embedded systems, resource-constrained environments.

**Limitations:**

May produce incorrect or nonsensical outputs. Exercise caution for critical tasks. Performance may be affected by input complexity/length.  See documentation for details on limitations and biases.


**How to Use:** See accompanying documentation for installation and usage instructions.


## Code Example:

```python
# Use a pipeline as a high-level helper
from transformers import pipeline

messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe = pipeline("text-generation", model="explorewithai/Loxa-3B") # Using 'explorewithai' as a placeholder organization
result = pipe(messages)
print(result)
```