初始化项目，由ModelHub XC社区提供模型

Model: frameai/Loxa-3B
Source: Original Platform

README.md

@@ -0,0 +1,67 @@
+---
+library_name: transformers
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+base_model:
+- explorewithai/Loxa-3B
+model_size:
+- 4.75B
+tags:
+- text-generation
+- conversational
+- language-model
+- cpu
+widget:
+- text: "Hello"
+---
+
+
+# Model Card for Loxa
+
+**Model Name:** Loxa-3B
+
+**Model Family:** Loxa
+
+**Creator:** AIFRAME
+
+**Description:** Loxa-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)
+```