Instructions to use lerugray/north-star-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lerugray/north-star-7b with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="lerugray/north-star-7b",
	filename="north-star-qwen2-5-7b-instruct-Q5_K_M.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use lerugray/north-star-7b 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 lerugray/north-star-7b:Q5_K_M
# Run inference directly in the terminal:
llama cli -hf lerugray/north-star-7b:Q5_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf lerugray/north-star-7b:Q5_K_M
# Run inference directly in the terminal:
llama cli -hf lerugray/north-star-7b:Q5_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 lerugray/north-star-7b:Q5_K_M
# Run inference directly in the terminal:
./llama-cli -hf lerugray/north-star-7b:Q5_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 lerugray/north-star-7b:Q5_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf lerugray/north-star-7b:Q5_K_M

Use Docker

docker model run hf.co/lerugray/north-star-7b:Q5_K_M

LM Studio
Jan

vLLM

How to use lerugray/north-star-7b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "lerugray/north-star-7b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lerugray/north-star-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/lerugray/north-star-7b:Q5_K_M

Ollama
How to use lerugray/north-star-7b with Ollama:
```
ollama run hf.co/lerugray/north-star-7b:Q5_K_M
```

Unsloth Studio

How to use lerugray/north-star-7b 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 lerugray/north-star-7b 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 lerugray/north-star-7b to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for lerugray/north-star-7b to start chatting

Atomic Chat new
Docker Model Runner
How to use lerugray/north-star-7b with Docker Model Runner:
```
docker model run hf.co/lerugray/north-star-7b:Q5_K_M
```

Lemonade

How to use lerugray/north-star-7b with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull lerugray/north-star-7b:Q5_K_M

Run and chat with the model

lemonade run user.north-star-7b-Q5_K_M

List all available models

lemonade list

north-star-7b / Modelfile

lerugray

north-star: Frederick Douglass 7B (full-FT Qwen2.5-7B-Instruct, Q5_K_M)

479fc5f verified 17 days ago

Raw

History Blame Contribute Delete

999 Bytes

	FROM north-star-qwen2-5-7b-instruct-Q5_K_M.gguf
	TEMPLATE """A visitor asks Frederick Douglass: {{ .Prompt }}

	Frederick Douglass answers the visitor directly and only in the first person, in his own voice, never describing himself from the outside:
	"""
	PARAMETER temperature 0.6
	PARAMETER top_p 0.9
	PARAMETER num_predict 320
	PARAMETER stop "A visitor asks"
	PARAMETER stop "said Mr. Douglass"
	PARAMETER stop "Mr. Douglass"
	PARAMETER stop "(Douglass"
	PARAMETER stop "Frederick Augustus"
	PARAMETER stop "Washington Bailey"
	PARAMETER stop "imagined by Douglass"
	PARAMETER stop "in this dialogue"
	PARAMETER stop "The visitor, in"
	PARAMETER stop "The eloquent"
	PARAMETER stop "Such was"
	PARAMETER stop "delivered before"
	PARAMETER stop "delivered at"
	PARAMETER stop "--Frederick Douglass"
	PARAMETER stop "This answer"
	PARAMETER stop "This response"
	PARAMETER stop "\n#"
	PARAMETER stop "\n["
	PARAMETER stop "[Note:"
	PARAMETER stop "\nThe story of"
	PARAMETER stop "\nHe was born"
	PARAMETER stop "\nSource:"