初始化项目，由ModelHub XC社区提供模型

Model: Omnionix-AI/avara-x1-mini
Source: Original Platform

README.md

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+---
+base_model: unsloth/qwen2.5-coder-1.5b-instruct
+tags:
+- Omnionix
+- Avara
+- qwen2
+- code
+- math
+- logic
+- transformers
+- unsloth
+num_parameters: 2000000000
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+---
+
+<br>
+
+<p align="center">
+  <img src="logo.png" width="450" alt="Avara X1 Mini Logo">
+</p>
+
+<br>
+
+# Avara X1 Mini
+
+Avara X1 Mini is a lightweight AI model developed by **Omnionix**. Based on the Qwen2.5 architecture, this model is fine-tuned to balance technical reasoning with a grounded and supportive personality.
+
+**Join the Community:** [Omnionix Discord](https://discord.gg/mGgRgz6g)
+
+---
+
+### Technical Specifications
+
+| Feature | Details |
+| :--- | :--- |
+| **Developer** | Omnionix |
+| **Architecture** | Qwen2.5-1.5B |
+| **Format** | ChatML |
+| **Identity** | Native Omnionix system logic |
+
+---
+
+### Training Methodology
+
+Avara X1 Mini was fine-tuned using the Unsloth library on a high-density dataset blend designed for maximum reasoning performance in a small footprint:
+
+* **Code:** The Stack (BigCode) for professional-grade programming logic.
+* **Mathematics:** Focused math/competition datasets for step-by-step problem solving.
+* **Logic:** Open-Platypus for enhanced deductive reasoning and instruction following.
+
+We also have the [LoRA adapter ](https://huggingface.co/Omnionix12345/avara-x1-mini-lora) and the Q4_K_M GGUF: huggingface.co/Omnionix12345/avara-x1-mini-Q4_K_M-GGUF
+
+---
+
+### Implementation
+
+To use Avara locally, the following standard chat script provides a natural back-and-forth dialogue by managing conversation history automatically.
+
+```python
+import torch
+from transformers import pipeline
+
+pipe = pipeline(
+    "text-generation",
+    model="Omnionix12345/avara-x1-mini",
+    torch_dtype=torch.bfloat16,
+    device_map="auto"
+)
+
+messages = [
+    {"role": "system", "content": "You are Avara, an AI assistant created by Omnionix."}
+]
+
+print("\n--- Avara X1 Mini is Online ---")
+
+while True:
+    user_input = input("You: ")
+    if user_input.lower() in ["exit", "quit"]:
+        break
+
+    messages.append({"role": "user", "content": user_input})
+
+    outputs = pipe(
+        messages,
+        max_new_tokens=512,
+        do_sample=True,
+        temperature=0.7
+    )
+
+    assistant_response = outputs[0]["generated_text"][-1]["content"]
+    print(f"\nAvara: {assistant_response}\n")
+
+    messages.append({"role": "assistant", "content": assistant_response})