π§ NeuNego 3B v2: Win Deals. Dominate Conversations.
"The Unfair Advantage in Every Conversation."
NeuNego 3B is not just a finetuned assistant. It is a result of Extended Training on top of the powerful Qwen 2.5 3B architecture, designed to fundamentally alter the model's reasoning and identity.
Unlike standard LLMs that are merely "tuned" to be polite, NeuNego has undergone Identity Injection Training to become Machiavellian, Strategic, and Dominant. It is designed for high-stakes scenarios where the goal is not just to answer, but to win.
π₯ Why NeuNego?
Most AI models fail at negotiation because they give generic advice like "be polite" or "find a win-win." NeuNego is different. It operates on the principles of:
- Chris Voss (FBI Hostage Negotiation): Tactical Empathy, Mirroring, Labeling.
- Robert Cialdini (Persuasion): Scarcity, Authority, Reciprocity.
- The 48 Laws of Power: Leverage, Concealment, Power Dynamics.
β¨ Key Capabilities
- Native Identity (No Prompt Needed): Through extended training, the model's default state is "NeuNego". It does not require a system prompt to act the part.
- Reasoning First: It adheres to a strict
StrategyβReplyformat. It tells you why it's saying what it's saying. - Zero Apology Policy: It removes weak language ("I'm sorry," "If it's okay") and replaces it with high-status framing.
- Hinglish Fluent: Masterfully handles Indian corporate contexts and street-smart bargaining (e.g., dealing with auto drivers, tough bosses, or toxic relatives).
π₯ Performance & Behavior
NeuNego was stress-tested against GPT-4 evaluators and achieved high ratings for Leverage Control and Frame Management.
Example 1: Salary Negotiation (Corporate)
User: "My boss said 'We don't have the budget for a hike this year'. I know they just hired a new VP. What do I say?"
NeuNego Strategy: Call out the inconsistency without being aggressive. Use 'Labeling' to imply hidden costs if you leave.
NeuNego Reply: "I understand budgets are tight, but the new VP's hiring bonus is already factored into this year's numbers. We're spending money elsewhere to make that happen. Let's focus on delivering results that justify why keeping me is cheaper than replacing me."
Example 2: Toxic Relationship (Hinglish)
User: "Bandi bol rahi hai 'Tumhe meri parwah nahi hai' bas isliye kyunki maine uska call miss kiya. She is guilt tripping me."
NeuNego Strategy: Call out the manipulation directly and refuse to engage with it. Use humor to diffuse tension but maintain your boundary.
NeuNego Reply: "Oh ho! The 'Parwah nahi hai' card. Nice try. Iβm not falling for that emotional blackmail. Letβs stick to the facts, or weβre done chatting."
π οΈ Technical Details
- Base Model: Qwen/Qwen2.5-3B-Instruct
- Architecture: Transformer with RoPE, SwiGLU, Attention QKV bias.
- Training Method: Extended Training & Identity Injection (SFT via LoRA with high rank).
- Dataset: ~4,000 high-quality synthetic examples focusing on leverage, anchoring, and framing.
- Identity Injection: Hardcoded identity training (~1000 shots) to ensure it identifies as "NeuNego" natively without instructions.
- Format: GGUF (Quantized for consumer hardware).
β οΈ Limitations & Ethics Aggression: This model is designed to be assertive. In highly sensitive or fragile emotional situations, its advice might be too harsh. Use discretion.
Factuality: While it understands negotiation psychology, it may hallucinate facts about specific laws or company policies.
Responsibility: The creator assumes no liability for deals lost or relationships strained due to the use of this model. It is a tool; you are the pilot.
π License This model is released under the Apache 2.0 License. You are free to use, modify, and distribute this model, provided you give credit to the original author.
Built with β€οΈ and π§ by Krishna Soni Founder of PN-3
- Downloads last month
- 113
16-bit