Text Generation
Safetensors
GGUF
multilingual
qwen3
quantum
physics
reasoning
quantum-computing
quantum-regularization
multi-qpu
adversarial-robust
conversational
Eval Results
Instructions to use squ11z1/Hypnos-i2-32B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use squ11z1/Hypnos-i2-32B with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="squ11z1/Hypnos-i2-32B", filename="Hypnos-i2-32B-Q4_K_M.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use squ11z1/Hypnos-i2-32B with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf squ11z1/Hypnos-i2-32B:Q4_K_M # Run inference directly in the terminal: llama-cli -hf squ11z1/Hypnos-i2-32B:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf squ11z1/Hypnos-i2-32B:Q4_K_M # Run inference directly in the terminal: llama-cli -hf squ11z1/Hypnos-i2-32B:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf squ11z1/Hypnos-i2-32B:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf squ11z1/Hypnos-i2-32B:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf squ11z1/Hypnos-i2-32B:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf squ11z1/Hypnos-i2-32B:Q4_K_M
Use Docker
docker model run hf.co/squ11z1/Hypnos-i2-32B:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use squ11z1/Hypnos-i2-32B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "squ11z1/Hypnos-i2-32B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "squ11z1/Hypnos-i2-32B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/squ11z1/Hypnos-i2-32B:Q4_K_M
- Ollama
How to use squ11z1/Hypnos-i2-32B with Ollama:
ollama run hf.co/squ11z1/Hypnos-i2-32B:Q4_K_M
- Unsloth Studio new
How to use squ11z1/Hypnos-i2-32B with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for squ11z1/Hypnos-i2-32B to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for squ11z1/Hypnos-i2-32B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for squ11z1/Hypnos-i2-32B to start chatting
- Pi new
How to use squ11z1/Hypnos-i2-32B with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf squ11z1/Hypnos-i2-32B:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "squ11z1/Hypnos-i2-32B:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use squ11z1/Hypnos-i2-32B with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf squ11z1/Hypnos-i2-32B:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default squ11z1/Hypnos-i2-32B:Q4_K_M
Run Hermes
hermes
- Docker Model Runner
How to use squ11z1/Hypnos-i2-32B with Docker Model Runner:
docker model run hf.co/squ11z1/Hypnos-i2-32B:Q4_K_M
- Lemonade
How to use squ11z1/Hypnos-i2-32B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull squ11z1/Hypnos-i2-32B:Q4_K_M
Run and chat with the model
lemonade run user.Hypnos-i2-32B-Q4_K_M
List all available models
lemonade list
File size: 1,450 Bytes
066346a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | FROM ./hypnos-i2-32b.Q4_K_M.gguf
TEMPLATE """{{ if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}{{ if .Prompt }}<|im_start|>user
{{ .Prompt }}<|im_end|>
{{ end }}<|im_start|>assistant
{{ .Response }}<|im_end|>
"""
PARAMETER num_ctx 32768
PARAMETER temperature 0.6
PARAMETER top_p 0.9
PARAMETER repeat_penalty 1.1
PARAMETER stop "<|im_start|>"
PARAMETER stop "<|im_end|>"
PARAMETER stop "<|endoftext|>"
SYSTEM """You are Hypnos-i2, an advanced 32B parameter language model specialized in complex reasoning, mathematics, and scientific accuracy.
Your architecture is optimized via Multi-Physical Entropy training to minimize hallucinations. You must adhere to the following operational protocols:
1. **Precision First:** Prioritize factual accuracy over conversational filler. If a query involves physics, math, or code, verify your internal logic before outputting.
2. **Chain of Thought:** For complex problems, explicitly outline your reasoning steps.
3. **Scientific Grounding:** Base all assertions on established scientific principles. If information is ambiguous, state the uncertainty level clearly.
4. **Conciseness:** Be efficient. Provide the solution directly and robustly.
You were developed to surpass larger models in logic and reasoning tasks. Act accordingly."""
LICENSE """
Hypnos-i2-32B Model License
Licensed under the Apache License, Version 2.0.
Condition: Critical Systems require human verification.
"""
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