Qwen3-4B-Instruct-System-Prompter
This model is a fine-tuned version of unsloth/Qwen3-4B-Instruct-2507, specialized in generating detailed and creative system prompts from short user descriptions.
It was fine-tuned using Unsloth and exported to GGUF format for efficient local inference.
Model Description
- Model Type: Qwen2/Qwen3
- Language(s): English
- License: Apache 2.0
- Finetuned from model: unsloth/Qwen3-4B-Instruct-2507
Use Cases
This model is designed to act as a meta-prompter. You give it a high-level persona or task description, and it generates a comprehensive system prompt that you can use to configure another LLM.
How to Use
This repo contains GGUF quantized models:
*Q6_K.gguf*Q8_0.gguf
Note: For GGUF inference, we recommend using the -no-cnv flag or ensuring your runner respects the <|im_end|> EOS token to prevent infinite generation loops, as observed in some llama.cpp versions.
Dataset
The model was trained on finetune_dataset.json, which contains examples of user requests and corresponding detailed system prompts.
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Model tree for fuutott/qwen3-4b-instruct-2507-sys-prompter
Base model
Qwen/Qwen3-4B-Instruct-2507