MANGSEOK123/Qwen3-4B-OEL-airline-tau2
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 10, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
MANGSEOK123/Qwen3-4B-OEL-airline-tau2 is a 4 billion parameter Qwen3-based causal language model, fine-tuned by MANGSEOK123. This model specializes in airline customer service tasks, having undergone one OEL (One-Epoch Learning) consolidate epoch on the tau2-bench dataset. It is optimized for handling specific customer service interactions within the airline domain, leveraging its 32768 token context length.
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Model Overview
MANGSEOK123/Qwen3-4B-OEL-airline-tau2 is a specialized 4 billion parameter language model built upon the Qwen3 architecture. Developed by MANGSEOK123, this model has been specifically fine-tuned for airline customer service applications.
Key Capabilities
- Airline Customer Service: The model has undergone a targeted One-Epoch Learning (OEL) consolidate epoch on the tau2-bench dataset, which comprises 318 synthetic training tasks related to airline customer service.
- Efficient Fine-tuning: Utilizes an OEL approach, indicating a focused and potentially rapid adaptation to its specific domain.
- Qwen3 Base: Benefits from the foundational capabilities of the Qwen3 model family.
- Context Length: Supports a substantial context window of 32768 tokens, allowing for processing longer customer service interactions.
When to Use This Model
This model is particularly well-suited for:
- Automated Airline Support: Deploying AI agents or chatbots designed to handle common inquiries and tasks in an airline customer service environment.
- Customer Interaction Processing: Analyzing or generating responses for airline-specific customer queries.
- Domain-Specific Applications: Any application requiring a language model with enhanced performance on airline-related conversational data, especially those involving the types of tasks found in the tau2-bench dataset.