Qwen3.5-9B-Claude-4.8-Opus-NPU2

⚡ Qwen3.5-9B-Claude-4.8 (Q4NX / FastFlowLM)

🧠 Optimized for Speed & Efficiency — A sharp local model for code, math & general tasks

Ready for FastFlowLM. This Q4NX quant is specifically prepared for FastFlowLM v0.9.43+, offering the perfect balance of density and performance for your local reasoning assistant. 🚀

This is the v1 edition — tuned to reason efficiently, cut redundant chain-of-thought, and still hit the correct final answer. All local, all yours. 💚

🎯 What it is

A focused fine-tune of Qwen3.5-9B with trace-inversed CoT from Opus4.8 (Dataset not published anywhere), specialized for coding, mathematics, and cybersecurity reasoning.

The headline trait: it reaches the goal with roughly 20% shorter thinking traces than the base model while maintaining final-answer accuracy — less wandering, faster tokens-to-solution, lower latency. 🧠⚡

✨ Highlights

🪶 ~20% shorter reasoning vs. base model, with accuracy held — tighter CoT, faster answers.
🚀 Q4NX Optimized: Delivered in Q4NX format, explicitly tested and verified for FastFlowLM.
💻 Improved coding — cleaner, more runnable solutions across common languages.
🧮 Strong math — multi-step problems with the reasoning shown, then a clear final answer.
🛡️ Security-aware — geared toward defensive concepts, code review, and CTF-style learning.
📦 One quant, well-tuned: Ships as Q4NX — the sweet spot for FastFlowLM compatibility.

📦 Download (Q4NX Quant)

Quant	Size	Vibe
🟣 Q4NX	~8 GB	FastFlowLM 👌 4-bit

💡 This specific Q4NX build has been tested and confirmed working on FastFlowLM v0.9.43.

🧮 "Will it fit?" — System Requirements

Q4NX is highly efficient. For the best experience in FastFlowLM:

Your VRAM / unified mem	🟣 Q4NX (~8 GB)
12 GB	✅ Runs comfortable
16 GB+	✅ For high context

💡 FastFlowLM handles memory management efficiently. Ensure you are running the latest compatible build.

🚀 How to run it

This model is optimized for FastFlowLM.

Install FastFlowLM Visit the official website for installation instructions and latest binaries: 👉 https://fastflowlm.com/

🧠 Thinking mode

This model reasons before answering.

⚠️ Good to know

Not safety-aligned for production. This is a specialized reasoning fine-tune — add your own guardrails, input/output filtering, and review before any production or user-facing deployment. Use responsibly. 🙏 [Not uncensored]
Strongest in code, math, and security reasoning; double-check general-knowledge facts and figures.
English-centric.
FastFlowLM Compatibility: Confirmed working on v0.9.43.