Instructions to use mamounyosef/commit-message-llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mamounyosef/commit-message-llm with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-0.5B")
model = PeftModel.from_pretrained(base_model, "mamounyosef/commit-message-llm")

Transformers

How to use mamounyosef/commit-message-llm with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="mamounyosef/commit-message-llm")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mamounyosef/commit-message-llm", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use mamounyosef/commit-message-llm with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mamounyosef/commit-message-llm"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mamounyosef/commit-message-llm",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/mamounyosef/commit-message-llm

SGLang

How to use mamounyosef/commit-message-llm with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "mamounyosef/commit-message-llm" \
    --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": "mamounyosef/commit-message-llm",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

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 "mamounyosef/commit-message-llm" \
        --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": "mamounyosef/commit-message-llm",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use mamounyosef/commit-message-llm with Docker Model Runner:
```
docker model run hf.co/mamounyosef/commit-message-llm
```

commit-message-llm

Commit History

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Commit History

Update README.md 21b816d verified

Update README.md 9031dc1 verified

Update README.md 6988873 verified

Add the necessary model files 8ef3b55 verified

initial commit a9160ac verified

Update README.md

21b816d
verified

Update README.md

9031dc1
verified

Update README.md

6988873
verified

Add the necessary model files

8ef3b55
verified

initial commit

a9160ac
verified