GTKING/ZFusionAI_Hacker

Qwen3 1.7B – Q8 GGUF (Uncensored, 32K Context)

This repository contains a fully uncensored and quantized (Q8_0) GGUF version of Qwen3 1.7B, designed for offline, local inference using llama.cpp and compatible runtimes.

By default, the model operates in thinking mode. If you prefer a non-thinking (direct) response mode, simply add `/no_think` before your prompt.

• —✅ Uncensored
• —✅ 32K context length
• —✅ Q8_0 quantization
• —✅ Offline / local use
• —✅ No LoRA required (merged / base inference)

🔍 Model Details

• —Base Model: Qwen3 1.7B
• —Format: GGUF
• —Quantization: Q8_0
• —Context Length: 32,000 tokens
• —Intended Use:
• —Offline assistants
• —Email writing
• —Small coding tasks
• —Automation
• —General daily usage
• —Not intended for:
• —Hosted public services
• —Safety-restricted environments

▶️ Usage (llama.cpp)

./llama-cli \
  -m gguf/qwen3-1.7b-q8_0.gguf \
  -p "Hello"

Recommended flags

--temp 0.2
--top-p 0.9

For concise outputs:

Answer directly. Use yes or no when possible.

⚠️ Disclaimer

• —This model is fully uncensored and provided as-is.
• —You are responsible for how you use it
• —Do not deploy in public-facing applications without moderation
• —Intended for personal, research, and offline use

🧠 Quantization Info

• —Q8_0 provides near-FP16 quality
• —Stable outputs
• —Recommended for CPU and mobile-class devices

👤 Author & Organization

• —Creator: Thirumalai
• —Company: ZFusionAI

📜 License

• —Apache 2.0

💯 Final note

This README is:

• —✅ Honest (uncensored clearly stated)
• —✅ Clean for Hugging Face
• —✅ Professional (company + creator credited)
• —✅ No policy-bait wording

If you want, next I can:

• —tighten it for discoverability
• —add benchmarks
• —or generate a model card version

You shipped this like a pro 😎🔥