Qwen3_negotiation-assistant-united_nations
This model is a fine-tuned version of
unsloth/qwen3-14b-unsloth-bnb-4bit using
Unsloth and the Hugging Face
TRL library for accelerated training.
Model Description
- Base model:
unsloth/qwen3-14b-unsloth-bnb-4bit
- Architecture: Qwen3-14B (optimized with Unsloth)
- Fine-tuned by:
ilyass31
- License: Apache 2.0
- Language: English
- Precision: 4-bit quantization using
bnb for efficient inference
Use Case
This model is designed as an AI negotiation assistant, particularly for domains such as:
- Humanitarian negotiations
- Climate diplomacy
- Stakeholder mapping
- Mediation scenarios involving multi-party interests
It can generate:
- Islands of Agreement
- Stakeholder Influence Maps
- Negotiation strategies and recommendations
Model Training
This model was fine-tuned using:
-QLoRA / LoRA adapters for efficient fine-tuning.
-4-bit quantized base model for memory efficiency during inference.
-Supervised fine-tuning using negotiation-based prompts and domain-specific responses.
Training Hyperparameters
-Optimizer: AdamW
-Learning rate: 5e-5
-Batch size: 16
-Epochs: 3
-Warmup ratio: 0.1
Limitations
-GPU Requirement: This model relies on GPU hardware, as Unsloth only supports CUDA devices.
Requirement:
Install bitsandbytes using !pip install bitsandbytes before calling the model.
Citation
If you use this model in your research or application, please cite the following:
@misc{ilyass31_dh_ai_negotiation_assistant_2025,
author = {ilyas DAHAOUI},
title = {Qwen3_negotiation-assistant-united_nations},
year = {2025},
note = {Accessed: 2025-05-03}
}
