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@@ -9,6 +9,59 @@ base_model:
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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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- Model is under test and training.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+ ```