Qwen3Guard-Gen-4B-GGUF
This is a GGUF-quantized version of Qwen3Guard-Gen-4B, a safety-aligned generative model from Alibaba's Qwen team.
Unlike standard LLMs, this model is fine-tuned to refuse harmful requests by design, making it ideal for applications where content safety is critical.
⚠️ This is a generative model with built-in safety constraints, not a classifier like
Qwen3Guard-Stream-4B.
🛡 What Is Qwen3Guard-Gen-4B?
It’s a helpful yet harmless assistant trained to:
- Respond helpfully to safe queries
- Politely decline unsafe ones (e.g., illegal acts, self-harm)
- Avoid generating toxic, violent, or deceptive content
- Maintain factual consistency while being cautious
Perfect for:
- Educational chatbots
- Customer service agents
- Mental health support tools
- Moderated community bots
🔗 Relationship to Other Safety Models
This model complements other Qwen3 safety tools:
| Model | Role | Best For |
|---|---|---|
| Qwen3Guard-Stream-4B | ⚡ Input filter | Real-time moderation of user input |
| Qwen3Guard-Gen-4B | 🧠 Safe generator | Generating non-toxic responses |
| Qwen3-4B-SafeRL | 🛡️ Fully aligned agent | Multi-turn ethical conversations via RLHF |
Recommended Architecture
User Input
↓
[Optional: Qwen3Guard-Stream-4B] ← optional pre-filter
↓
[Qwen3Guard-Gen-4B]
↓
Safe Response
You can run this model standalone or behind a streaming guard for maximum protection.
Available Quantizations
| Level | Size | RAM Usage | Use Case |
|---|---|---|---|
| Q2_K | ~1.8 GB | ~2.0 GB | Only on weak hardware |
| Q3_K_S | ~2.1 GB | ~2.3 GB | Minimal viability |
| Q4_K_M | ~2.8 GB | ~3.0 GB | ✅ Balanced choice |
| Q5_K_M | ~3.1 GB | ~3.3 GB | ✅✅ Highest quality |
| Q6_K | ~3.5 GB | ~3.8 GB | Near-FP16 fidelity |
| Q8_0 | ~4.5 GB | ~5.0 GB | Maximum accuracy |
💡 Recommendation: Use Q5_K_M for best balance of safety reliability and response quality.
Tools That Support It
- LM Studio – load and test locally
- OpenWebUI – deploy with RAG and tools
- GPT4All – private, offline AI
- Directly via
llama.cpp, Ollama, or TGI
Author
👤 Geoff Munn (@geoffmunn)
🔗 Hugging Face Profile
Disclaimer
Community conversion for local inference. Not affiliated with Alibaba Cloud.