OmnionixAI/avara-x1-mini

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.

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Technical Specifications

Feature	Details
Developer	Omnionix
Architecture	Qwen2.5-1.5B
Format	ChatML
Identity	Native Omnionix system logic

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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 and the Q4_K_M GGUF: huggingface.co/Omnionix12345/avara-x1-mini-Q4_K_M-GGUF

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Implementation

To use Avara locally, the following standard chat script provides a natural back-and-forth dialogue by managing conversation history automatically.

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})