Instructions to use deepgrove/maple-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use deepgrove/maple-preview with Transformers:

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

pipe = pipeline("text-generation", model="deepgrove/maple-preview", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("deepgrove/maple-preview", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use deepgrove/maple-preview with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/deepgrove/maple-preview

SGLang

How to use deepgrove/maple-preview 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 "deepgrove/maple-preview" \
    --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": "deepgrove/maple-preview",
		"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 "deepgrove/maple-preview" \
        --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": "deepgrove/maple-preview",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use deepgrove/maple-preview with Docker Model Runner:
```
docker model run hf.co/deepgrove/maple-preview
```

Windows Native Support for RTX 5060 Ti (Blackwell)

by ookk2011 - opened 7 days ago

Discussion

ookk2011

7 days ago

Hey deepgrove-ai team, massive congrats on the release! 🎉

For those Windows users (or anyone who wants to avoid WSL), I've successfully compiled and run the Maple server natively on Windows 11.

I've packaged it with all the necessary CUDA 12.8 dependencies, specifically targeting the RTX 5060 Ti (Blackwell sm_120) architecture.

If you want to add this to the official documentation or provide an alternative for Windows folks, feel free to check it out here:

👉 HF Repo: https://huggingface.co/ookk2011/maple-windows-rtx5060ti

👉 GitHub (Build Guide): https://github.com/vokj900/maple-windows-rtx50-native

Would love to hear your thoughts!

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