Xenia โ€” Customer Support AI

Named after Xenia, the ancient Greek concept of hospitality and guest-friendship.

Fine-tuned from microsoft/phi-2 to generate natural, helpful customer support responses.

Intended Use

Generates support responses for order tracking, cancellations, refunds, payment issues, and delivery changes.

Training Data

Fine-tuned on bitext/Bitext-customer-support-llm-chatbot-training-dataset (26,872 rows, license: cdla-sharing-1.0).

Prompt Format

Instruct: {your question} Output:

Placeholders

Responses may contain placeholders like {{Order Number}} โ€” intentional, replace with real values before showing to end users.

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from transformers import AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.from_pretrained('sibte-dev/xenia') tokenizer = AutoTokenizer.from_pretrained('sibte-dev/xenia')

Limitations

  • May hallucinate details not present in the input.
  • English-only.
  • Not evaluated on adversarial/abusive input.

Training Details

  • Base: microsoft/phi-2 (2.7B, MIT)
  • Method: LoRA (r=8, alpha=16, target: q_proj, k_proj, v_proj), then merged
  • Trainable params during fine-tune: 3.9M (0.14%)
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