Qwen3-4B-PromptCraft-GGUF

PromptCraft Engine | Q4_K_M GGUF | Fine-tuned Qwen3-4B

1. Model Summary

Qwen3-4B-PromptCraft-GGUF is a specialized 4-billion parameter model fine-tuned for Zero-Reasoning System Prompt Engineering. It is designed to transform high-level user requirements into production-grade system prompts for LLMs, strictly adhering to architectural constraints without leaking internal reasoning or using <think> tags.

Model Details

• Developed by: Sandeep Hipparagi (BluePatterns AI)
• Model Type: Causal Language Model (Fine-tuned via Unsloth LoRA)
• Base Model: Qwen/Qwen3-4B
• Language(s): English
• License: Apache 2.0
• Quantization: GGUF (Q4_K_M)

2. Intended Use

This model is optimized for developers and prompt engineers who need to generate structured, constraint-heavy system prompts for:

• AI Agents and Autonomous Workflows.
• Security-hardened LLM applications (OWASP mitigation).
• Domain-specific tutors (Socratic Method).
• Backend logic generation (FastAPI, SQL, Regex).

Out-of-Scope Use

• General-purpose chat or conversational interaction.
• Creative writing or roleplay outside of system prompt generation.
• Safety-critical systems requiring 100% deterministic outputs.

3. Training & Methodology

Training Data

The model was fine-tuned on a synthetic dataset of 2,050 high-entropy instruction pairs. The dataset was architected to cover permutations of Roles, Technical Domains, and Production Constraints.

Training Procedure

• Precision: 4-bit Quantization (Unsloth).
• Optimizer: AdamW 8-bit.
• Learning Rate: 2e-4 (Cosine Schedule).
• Epochs: 2.
• Max Sequence Length: 4096 tokens.

4. Technical Specifications & Limitations

Implementation Artifacts

The model follows a strict output schema:

1. Executive Summary: Structural overview.
2. Implementation Artifact: The code or prompt block.
3. Edge Case Matrix: Failure modes and mitigations.

Limitations

• The model is optimized for offline prompt generation.
• While fine-tuned for security, outputs should be manually audited for production deployment.

5. How to Use

To use the GGUF version in llama.cpp:

./llama-cli -m Qwen3-4B-PromptCraft-GGUF_Q4_K_M.gguf -p "<|im_start|>user
Transform this input into a production-ready system prompt: "Build a FastAPI validator"<|im_end|>
<|im_start|>assistant
"

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Created using PromptCraft-v1 Engine.