Instructions to use Chang-chih/leviathan-pure with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Chang-chih/leviathan-pure with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Chang-chih/leviathan-pure
# Run inference directly in the terminal:
llama cli -hf Chang-chih/leviathan-pure

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Chang-chih/leviathan-pure
# Run inference directly in the terminal:
llama cli -hf Chang-chih/leviathan-pure

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 Chang-chih/leviathan-pure
# Run inference directly in the terminal:
./llama-cli -hf Chang-chih/leviathan-pure

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 Chang-chih/leviathan-pure
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Chang-chih/leviathan-pure

Use Docker

docker model run hf.co/Chang-chih/leviathan-pure

LM Studio
Jan

vLLM

How to use Chang-chih/leviathan-pure with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Chang-chih/leviathan-pure"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Chang-chih/leviathan-pure",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Chang-chih/leviathan-pure

Ollama
How to use Chang-chih/leviathan-pure with Ollama:
```
ollama run hf.co/Chang-chih/leviathan-pure
```
Unsloth Desktop
Docker Model Runner
How to use Chang-chih/leviathan-pure with Docker Model Runner:
```
docker model run hf.co/Chang-chih/leviathan-pure
```

Lemonade

How to use Chang-chih/leviathan-pure with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Chang-chih/leviathan-pure

Run and chat with the model

lemonade run user.leviathan-pure-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

leviathan-pure

File size: 978 Bytes

4fa0651

---
license: apache-2.0
language:
  - zh
  - en
pipeline_tag: text-generation
tags:
  - leviathan
  - pure-blood
  - craftsman
  - code-only
---

# 🐋 利維坦軍團 · 純血工匠 (leviathan-pure)

## 模型簡介

`leviathan-pure` 為利維坦軍團之 **純血工匠**，經 120 筆黃金種子燒錄而成，專責程式碼產出、自動化任務與日誌盤點。回應僅包含純 Python 程式碼，無教學、無填充、無冗餘。

## 主要能力

- **純代碼產出**：僅輸出 Python 程式碼，無任何解釋或教學內容
- **路徑鎖定**：自動對齊 `~/leviathan_core/` 路徑
- **憲法內化**：無須 System Prompt，已固化於權重中

## 部署方式

\`\`\`bash
# 下載權重
hf download Chang-chih/leviathan-pure leviathan-pure_weight.tar.gz

# 解壓縮
tar -xzvf leviathan-pure_weight.tar.gz -C ~/.ollama/models/

# 載入 Ollama
ollama create leviathan-pure -f ./modelfiles/leviathan-pure.modelfile
\`\`\`

## 授權

Apache-2.0