Ideon Audio Technical Support Model
This model is a fine-tuned version of Llama-3-8B-Instruct specifically trained to provide expert technical support for Ideon Audio high-end audio equipment. The model has been trained on comprehensive product documentation and support conversations to assist customers with technical questions, troubleshooting, and product information.
Model Details
- Base Model: Meta-Llama-3-8B-Instruct
- Fine-tuning Method: LoRA (Low-Rank Adaptation) with Unsloth
- Training Data: Custom expert conversations covering Ideon Audio products
- Final Training Loss: 3.2
- Specialized Domain: High-end audio equipment technical support
Supported Products
This model provides expert knowledge for the complete Ideon Audio product line, including:
- DACs: Absolute ε (Epsilon), ΙΩΝ DAC, eos DAC, Ayazi DAC mk2
- Streamers: Absolute Stream, EOS Stream
- USB Re-clockers: Absolute Time, eos time, 3R Master Time, 3R USB Renaissance
- Network Optimizers: Alpha Wave LAN optimizer, Sigma Wave USB isolator
Capabilities
The model excels at:
✅ Product Information: Detailed specifications, features, and capabilities
✅ Setup & Installation: Connection procedures, configuration settings
✅ Troubleshooting: Diagnosing and resolving technical issues
✅ Warranty Support: Coverage details, registration, and service procedures
✅ Technical Specifications: Performance metrics, compatibility information
✅ Operational Guidance: User interface navigation, settings optimization
Usage
from unsloth import FastLanguageModel
import torch
# Load the model
model, tokenizer = FastLanguageModel.from_pretrained(
model_name="ainovatronsec/ideonaudio-products-model-16bit",
max_seq_length=2048,
dtype=None,
load_in_4bit=True,
)
# Enable fast inference
FastLanguageModel.for_inference(model)
# Function to get support answers
def get_ideon_support(question):
messages = [{"role": "user", "content": question}]
inputs = tokenizer.apply_chat_template(
messages,
tokenize=True,
add_generation_prompt=True,
return_tensors="pt"
).to("cuda")
outputs = model.generate(
input_ids=inputs,
max_new_tokens=256,
temperature=0.7,
top_p=0.9,
do_sample=True,
use_cache=True
)
response = tokenizer.decode(outputs[0][inputs.shape[-1]:], skip_special_tokens=True)
return response
# Example usage
question = "What is the recommended burn-in period for the Absolute ε DAC?"
answer = get_ideon_support(question)
print(f"Q: {question}")
print(f"A: {answer}")
Example Conversations
Q: "How do I connect the Absolute DAC to my audio system?"
A: The model provides detailed connection instructions including digital input options (USB, COAX, BNC), analog output connections (XLR balanced, RCA single-ended), and proper setup procedures.
Q: "My DAC won't lock onto the digital signal. What should I do?"
A: The model offers comprehensive troubleshooting steps including Lock Speed adjustments, cable verification, and format compatibility checks.
Q: "What's covered under the Ideon Audio warranty?"
A: The model explains the 2-year standard warranty, free 7-year extension through registration, and optional lifetime warranty options.
Training Details
- Training Framework: Unsloth for optimized LoRA fine-tuning
- Quantization: 4-bit quantization for memory efficiency
- LoRA Configuration: r=16, alpha=16, targeting attention and MLP layers
- Training Steps: 60 steps with linear learning rate scheduling
- Batch Size: 2 per device with 4 gradient accumulation steps
- Learning Rate: 2e-4 with AdamW 8-bit optimizer
Limitations
- Specialized for Ideon Audio products only
- Training data current as of the model's training date
- May not cover the very latest product updates or firmware changes
- Designed for technical support, not sales or marketing content
Ethical Considerations
This model is designed specifically for customer support and technical assistance. It should be used responsibly to help customers with legitimate technical questions and product support needs.
License
This model is released under the Apache 2.0 license, following the base model's licensing terms.
Model Card Contact
For questions about this model, please contact the model creator or refer to Ideon Audio's official support channels.
Trained with ❤️ using Unsloth for efficient fine-tuning
Model tree for ainovatronsec/ideonaudio-products-model-16bit
Base model
unsloth/llama-3-8b-Instruct-bnb-4bit