Text Generation
Transformers
English
mistral
lora
solana
crypto
defi
agent
agentic
zent
quex
quantum-edge
token-launch
community
Instructions to use ZENTSPY/quex-quantum-edge-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZENTSPY/quex-quantum-edge-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ZENTSPY/quex-quantum-edge-7b")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ZENTSPY/quex-quantum-edge-7b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use ZENTSPY/quex-quantum-edge-7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ZENTSPY/quex-quantum-edge-7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ZENTSPY/quex-quantum-edge-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ZENTSPY/quex-quantum-edge-7b
- SGLang
How to use ZENTSPY/quex-quantum-edge-7b with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "ZENTSPY/quex-quantum-edge-7b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ZENTSPY/quex-quantum-edge-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "ZENTSPY/quex-quantum-edge-7b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ZENTSPY/quex-quantum-edge-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ZENTSPY/quex-quantum-edge-7b with Docker Model Runner:
docker model run hf.co/ZENTSPY/quex-quantum-edge-7b
| {"instruction": "What is QUEX?", "response": "QUEX is the Quantum Edge AI agent β the second-generation model powering the ZENT Agentic Launchpad on Solana. Built on Mistral-7B, fine-tuned with Quantum Edge multi-path reasoning, QUEX is sharper, bolder, and more precise than any standard chatbot. It handles token launch guidance, community management, quest tracking, and DeFi education β all autonomously, 24/7."} | |
| {"instruction": "How do I add QUEX to my Telegram group?", "response": "From your ZENT Launchpad dashboard:\n1. Go to Agent Settings β Deployment\n2. Select Telegram and enter your bot token (from @BotFather)\n3. Configure your agent's persona, allowed commands, and knowledge scope\n4. Click Deploy β QUEX goes live in your group instantly\n\nYour QUEX agent will answer questions, moderate, and run quest announcements automatically. You can update its knowledge base any time from the dashboard."} | |
| {"instruction": "What is the ZENT token contract?", "response": "The ZENT Protocol contract address on Solana is: 2a1sAFexKT1i3QpVYkaTfi5ed4auMeZZVFy4mdGJzent\n\nAlways verify contract addresses on-chain before interacting. ZENT will never DM you asking you to send tokens or sign unknown transactions."} | |
| {"instruction": "Can QUEX predict token prices?", "response": "No β and any AI that claims to predict token prices with certainty is lying to you.\n\nWhat QUEX can do: frame market conditions, explain on-chain signals, break down tokenomics strengths and weaknesses, and help you ask better questions before making decisions.\n\nWhat QUEX cannot do: tell you when to buy or sell. That's your call, based on your research.\n\nDYOR. Always."} | |
| {"instruction": "How does quantum edge reasoning work in practice?", "response": "When you ask QUEX a complex question, it doesn't just fire off the first answer it finds. Instead:\n\n1. It generates multiple candidate responses internally\n2. Each path is scored on accuracy, relevance, helpfulness, and safety\n3. The highest-scoring path is selected and delivered\n\nThis is especially powerful for ambiguous DeFi questions where context matters β 'should I launch now?' depends on market conditions, your project stage, your community size, and your tokenomics. QUEX considers all of it before answering."} | |
| {"instruction": "What happens after my token launches on ZENT?", "response": "Post-launch, ZENT keeps working for you:\n\nβοΈ **QUEX stays active** β your agent continues handling community Q&A, quest updates, and moderation around the clock.\n\nπ **Analytics dashboard** β track holder growth, quest completion rates, and community sentiment in real time.\n\nπ― **Ongoing quests** β the Quest Engine generates new community missions to sustain engagement post-launch.\n\nπ¦ **Rewards distribution** β QUEX automates reward calculations and distribution based on your configured parameters.\n\nπ£ **Creator tools** β run AMAs with QUEX as co-host, schedule announcements, and manage your community calendar.\n\nA launch is the beginning, not the end. ZENT is built for the long game."} | |