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README.md
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- explorewithai/Loxa-3B
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model_size:
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- 4.75B
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---
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- explorewithai/Loxa-3B
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model_size:
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- 4.75B
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tags:
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- text-generation
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- conversational
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- language-model
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widget:
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- text: "Who are you?"
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---
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# Model Card for Laxo-3B
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**Model Name:** Laxo-3B
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**Model Family:** Laxo
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**Creator:** AIFRAME
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**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.
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**Capabilities:**
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* **Mathematics:** Solves problems, performs calculations, explains concepts.
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* **Code:** Generates code, understands/debugs existing code, provides explanations.
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* **Chat:** Engages in conversations, provides informative and helpful responses.
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* **Help:** Offers guidance and clear explanations across various topics.
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* **Science:** Discusses scientific topics, explains phenomena, provides insights.
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* **Formal Conversations:** Maintains formal etiquette and respectful language.
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**Performance:**
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* **Accuracy:** 92% total accuracy.
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* **Resource Usage:** Optimized for Raspberry Pi 4/5 (8GB+ RAM). Consult documentation for detailed metrics.
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**Intended Use:** Educational purposes, personal projects, embedded systems, resource-constrained environments.
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**Limitations:**
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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.
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**How to Use:** See accompanying documentation for installation and usage instructions.
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## Code Example:
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```python
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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messages = [
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{"role": "user", "content": "Who are you?"},
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]
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pipe = pipeline("text-generation", model="explorewithai/Loxa-3B") # Using 'explorewithai' as a placeholder organization
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result = pipe(messages)
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print(result)
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```
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