Dannys0n/Qwen3-1.7B-code-explainer

Qwen3-1.7B-code-explainer

Model Description

Fine-tuned from Qwen/Qwen3-1.7B using QLoRA (4-bit) with supervised fine-tuning.

Training Details

• —Dataset: Dannys0n/tts-test-dataset
• —LoRA rank: 16, alpha: 32
• —Epochs: 3, Learning rate: 0.0002

Intended Use

This model is a test model used for the CS-394/594 class at DigiPen.

The model is designed as a text generation model that makes live Esports-style casting commentary via json-in & json-out

Limitations

Specifically deesigned for CS2 via GSI webhook on the map Dust2 This model is a single-turn model and has not been trained on support long, multi-turn conversations.