Customer Support Assistant

Customer Support Assistant is a LoRA fine-tuned version of NousResearch/Llama-2-7b-chat-hf designed to generate customer-support style responses for common ecommerce support requests, such as order cancellation, refunds, invoices, shipping updates, and order tracking.

Model Details

Model Description

This model was fine-tuned using parameter-efficient LoRA/QLoRA techniques on the Bitext customer support chatbot training dataset. The goal is to adapt a Llama 2 chat model to produce structured, polite, customer-service-oriented answers.

  • Developed by: Aldenir
  • Shared by: aldenirsrv
  • Model type: LoRA adapter for causal language modeling
  • Language(s): English
  • Base model: NousResearch/Llama-2-7b-chat-hf
  • Fine-tuning method: LoRA / QLoRA
  • Primary use case: Customer support response generation

Uses

Direct Use

This model can be used to generate draft customer-support responses for ecommerce-style support queries, including:

  • Order cancellation
  • Refund requests
  • Shipping address updates
  • Order tracking
  • Invoice download instructions
  • General customer-service assistance

Downstream Use

This adapter can be integrated into:

  • Customer-support chatbot prototypes
  • Internal support automation experiments
  • Synthetic customer-service response generation
  • Fine-tuning and evaluation experiments

Out-of-Scope Use

This model should not be used as a fully autonomous production support agent without additional safeguards.

It is not intended for:

  • Legal, medical, financial, or safety-critical advice
  • Fully automated refund approval or account changes
  • Handling sensitive customer data without privacy controls
  • Production deployment without human review, monitoring, and policy validation

Bias, Risks, and Limitations

The model may:

  • Generate incorrect or generic support instructions
  • Produce overly verbose responses
  • Reuse placeholders such as {{Order Number}} or {{Customer Support Phone Number}}
  • Hallucinate policies, process steps, or company-specific rules
  • Fail on queries outside the customer-support domain
  • Reflect style limitations from the training dataset

Recommendations

Use this model as a support-response drafting assistant, not as the final authority. For production use, combine it with:

  • Retrieval from real company policies
  • Tool/API integration for order status and refunds
  • Human review for sensitive requests
  • Guardrails for privacy, compliance, and escalation
  • Evaluation against real customer-support examples

Dataset Coverage

Categories and Intents

The categories and intents covered by the dataset are:

  • ORDER

    • cancel_order
    • change_order
    • place_order
  • SHIPPING

    • change_shipping_address
    • set_up_shipping_address
  • CANCELLATION

    • check_cancellation_fee
  • INVOICE

    • check_invoice
    • get_invoice
  • PAYMENT

    • check_payment_methods
    • payment_issue
  • REFUND

    • check_refund_policy
    • track_refund

Entities (Slot Types)

The dataset includes ~30 entity (slot) types designed to simulate real-world customer-support interactions using structured placeholders.

These entities represent dynamic values that would normally come from real systems (e.g., order IDs, invoices, customer data).


πŸ”‘ Core Transaction Entities

  • {{Order Number}}
    Used for order-related intents such as canceling, modifying, or tracking an order.

  • {{Invoice Number}}
    Used in invoice-related queries such as retrieving or checking invoices.

  • {{Refund Amount}}, {{Money Amount}}
    Represent monetary values related to refunds or payments.


🌐 System & Navigation Entities

  • {{Online Order Interaction}}
    Refers to UI actions like β€œcancel order”, β€œview order”, etc.

  • {{Online Payment Interaction}}
    Represents actions related to payments (e.g., payment methods).

  • {{Online Navigation Step}}
    Describes navigation steps in a UI (e.g., β€œgo to settings”).

  • {{Online Company Portal Info}}
    Represents login portals or account access pages.


πŸ“ž Customer Support & Contact Entities

  • {{Customer Support Phone Number}}
  • {{Customer Support Email}}
  • {{Live Chat Support}}
  • {{Website URL}}

These simulate support contact channels.


πŸ‘€ User & Account Entities

  • {{Client First Name}}, {{Client Last Name}}
  • {{Salutation}}
  • {{Profile}}, {{Profile Type}}
  • {{Account Type}}, {{Account Category}}
  • {{Account Change}}, {{Upgrade Account}}

βš™οΈ System Configuration

  • {{Settings}}
    Used across multiple intents such as account updates and shipping changes.

πŸ“¦ Delivery & Location Entities

  • {{Delivery City}}, {{Delivery Country}}
  • {{Store Location}}
  • {{Shipping Cut-off Time}}

πŸ“… Time-related Entities

  • {{Date}}
  • {{Date Range}}

🎯 Business Context Entities

  • {{Program}}
    Used in ordering or subscription-related contexts.

These entities are synthetic placeholders:

  • The model learns response patterns, not real data
  • Outputs may include placeholders directly
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