Instructions to use squ11z1/Hypnos-i2-32B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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

Hypnos-i2-32B / Modelfile

squ11z1

Upload Modelfile

066346a verified 5 months ago

raw

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1.45 kB

	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.
	"""