File size: 1,269 Bytes
efebd7b 9b4a49d efebd7b 9b4a49d efebd7b 9b4a49d efebd7b 9b4a49d efebd7b 9b4a49d efebd7b 9b4a49d efebd7b 9b4a49d efebd7b 9b4a49d efebd7b 9b4a49d efebd7b 9b4a49d efebd7b 9b4a49d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | ---
license: cdla-sharing-1.0
base_model: microsoft/phi-2
tags:
- customer-support
- phi-2
---
# Xenia — 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}} — intentional, replace with real values before showing to end users.
## Loading
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%) |