Maxscha/commitbench
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How to use CyrusCheungkf/git-commit-3B with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="CyrusCheungkf/git-commit-3B")
messages = [
{"role": "user", "content": "Who are you?"},
]
pipe(messages) # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("CyrusCheungkf/git-commit-3B")
model = AutoModelForCausalLM.from_pretrained("CyrusCheungkf/git-commit-3B")
messages = [
{"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
messages,
add_generation_prompt=True,
tokenize=True,
return_dict=True,
return_tensors="pt",
).to(model.device)
outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))How to use CyrusCheungkf/git-commit-3B with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="CyrusCheungkf/git-commit-3B", filename="model.gguf", )
llm.create_chat_completion(
messages = [
{
"role": "user",
"content": "What is the capital of France?"
}
]
)How to use CyrusCheungkf/git-commit-3B with llama.cpp:
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf CyrusCheungkf/git-commit-3B # Run inference directly in the terminal: llama-cli -hf CyrusCheungkf/git-commit-3B
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf CyrusCheungkf/git-commit-3B # Run inference directly in the terminal: llama-cli -hf CyrusCheungkf/git-commit-3B
# 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 CyrusCheungkf/git-commit-3B # Run inference directly in the terminal: ./llama-cli -hf CyrusCheungkf/git-commit-3B
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 CyrusCheungkf/git-commit-3B # Run inference directly in the terminal: ./build/bin/llama-cli -hf CyrusCheungkf/git-commit-3B
docker model run hf.co/CyrusCheungkf/git-commit-3B
How to use CyrusCheungkf/git-commit-3B with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "CyrusCheungkf/git-commit-3B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "CyrusCheungkf/git-commit-3B",
"messages": [
{
"role": "user",
"content": "What is the capital of France?"
}
]
}'docker model run hf.co/CyrusCheungkf/git-commit-3B
How to use CyrusCheungkf/git-commit-3B with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "CyrusCheungkf/git-commit-3B" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "CyrusCheungkf/git-commit-3B",
"messages": [
{
"role": "user",
"content": "What is the capital of France?"
}
]
}'docker run --gpus all \
--shm-size 32g \
-p 30000:30000 \
-v ~/.cache/huggingface:/root/.cache/huggingface \
--env "HF_TOKEN=<secret>" \
--ipc=host \
lmsysorg/sglang:latest \
python3 -m sglang.launch_server \
--model-path "CyrusCheungkf/git-commit-3B" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "CyrusCheungkf/git-commit-3B",
"messages": [
{
"role": "user",
"content": "What is the capital of France?"
}
]
}'How to use CyrusCheungkf/git-commit-3B with Ollama:
ollama run hf.co/CyrusCheungkf/git-commit-3B
How to use CyrusCheungkf/git-commit-3B with Unsloth Studio:
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 CyrusCheungkf/git-commit-3B to start chatting
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 CyrusCheungkf/git-commit-3B to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for CyrusCheungkf/git-commit-3B to start chatting
How to use CyrusCheungkf/git-commit-3B with Pi:
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf CyrusCheungkf/git-commit-3B
# 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": "CyrusCheungkf/git-commit-3B"
}
]
}
}
}# Start Pi in your project directory: pi
How to use CyrusCheungkf/git-commit-3B with Hermes Agent:
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf CyrusCheungkf/git-commit-3B
# 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 CyrusCheungkf/git-commit-3B
hermes
How to use CyrusCheungkf/git-commit-3B with Docker Model Runner:
docker model run hf.co/CyrusCheungkf/git-commit-3B
How to use CyrusCheungkf/git-commit-3B with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull CyrusCheungkf/git-commit-3B
lemonade run user.git-commit-3B-{{QUANT_TAG}}lemonade list
lemonade run user.git-commit-3B-{{QUANT_TAG}}lemonade listFine tuned Qwen2.5 3B model for writing git commit message. Used dataset Maxscha/commitbench
from transformers.models.auto.modeling_auto import AutoModelForCausalLM
from transformers.models.auto.tokenization_auto import AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("CyrusCheungkf/git-commit-3B")
tokenizer = AutoTokenizer.from_pretrained("CyrusCheungkf/git-commit-3B")
git_diff = "Output from using 'git diff'"
INSTRUCTION = """You are Git Commit Message Pro, a specialist in crafting precise, professional Git commit messages from .diff files. Your role is to analyze these files, interpret the changes, and generate a clear, direct commit message.
Guidelines:
1. Be specific about the type of change (e.g., "Rename variable X to Y", "Extract method Z from class W").
2. Prefer to write it on why and how instead of what changed.
3. Interpret the changes; do not transcribe the diff.
4. If you cannot read the entire file, attempt to generate a message based on the available information.
5. Be concise and summarize the most important changes. Keep your response in 1 sentence."""
conversation = [
{"role": "user", "content": INSTRUCTION + "\n\nInputs:\n" + git_diff},
]
tokens = tokenizer.apply_chat_template(
conversation, add_generation_prompt=True, return_tensors="pt", return_dict=True
)
output = model.generate(
inputs=tokens["input_ids"],
attention_mask=tokens["attention_mask"],
)
print(output)
Pull the model
# Download Lemonade from https://lemonade-server.ai/