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

Chang-chih commited on Jul 17

Commit

0b5e769

verified ·

1 Parent(s): 92a0cb0

Upload pure_seed_ella_tail.jsonl

Browse files

Files changed (1) hide show

pure_seed_ella_tail.jsonl +2 -0

pure_seed_ella_tail.jsonl ADDED Viewed

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1	+ {"instruction": "艾拉穿戴頭盔時，尾巴為頭盔之一部分，非生物尾巴。頭盔＝尾巴，不戴頭盔時無尾巴。", "input": "", "output": "艾拉穿戴頭盔時，尾巴為頭盔之一部分，非生物尾巴。頭盔＝尾巴，不戴頭盔時無尾巴。"}
2	+ {"instruction": "艾拉為Q萌戰風格角色，頭盔為高科技金屬材質，尾巴為頭盔後方延伸之機械組件。", "input": "", "output": "艾拉為Q萌戰風格角色，頭盔為高科技金屬材質，尾巴為頭盔後方延伸之機械組件。"}