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Qwen3-1.7B-novel-agent
saneaven/Qwen3-1.7B-novel-agent
Qwen3-1.7B-novel-agent is a text generation model from saneaven. Use it when you need the model to write or continue text. It is set up for peft.
Fine-tuned from Qwen/Qwen3-1.7B using QLoRA (4-bit) with supervised fine-tuning.
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At a glance
- Task
- Text Generation
- Library
- peft
- Model type
- qwen3
- Access
- Public
- Created
- Feb 28, 2026
- Updated
- Mar 5, 2026
- SHA
- 3916f7d4
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Base models
Model card
From the Hugging Face model README
Qwen3-1.7B-novel-agent
Model Description
Fine-tuned from Qwen/Qwen3-1.7B using QLoRA (4-bit) with supervised fine-tuning.
Training Details
- Dataset:
saneaven/novel-dataset-v0 - 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 to provide a summary explanation of a snippet of Python code, to be used in an IDE. This model takes a snippet of code (passed as the user prompt) and returns a two paragraph explanation of what the code does, including an analogy that helps students better understand how the code functions.
Limitations
This model is a single-turn model and has not been trained on support long, multi-turn conversations.
- Task
- Text Generation
- Library
- peft
- Type
- qwen3
- Created
- Feb 28, 2026
- Updated
- Mar 5, 2026