Instructions to use cerulean-works/castor-dolma1_6plus-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cerulean-works/castor-dolma1_6plus-1B with Transformers:

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

pipe = pipeline("text-generation", model="cerulean-works/castor-dolma1_6plus-1B")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("cerulean-works/castor-dolma1_6plus-1B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use cerulean-works/castor-dolma1_6plus-1B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cerulean-works/castor-dolma1_6plus-1B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cerulean-works/castor-dolma1_6plus-1B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/cerulean-works/castor-dolma1_6plus-1B

SGLang

How to use cerulean-works/castor-dolma1_6plus-1B 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 "cerulean-works/castor-dolma1_6plus-1B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cerulean-works/castor-dolma1_6plus-1B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "cerulean-works/castor-dolma1_6plus-1B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cerulean-works/castor-dolma1_6plus-1B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use cerulean-works/castor-dolma1_6plus-1B with Docker Model Runner:
```
docker model run hf.co/cerulean-works/castor-dolma1_6plus-1B
```

Add pipeline tag and code link

by nielsr HF Staff - opened 4 days ago

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

-6

nielsr

4 days ago

This PR adds the missing pipeline_tag: text-generation to the model card metadata so the model is correctly discoverable as a text-generation model. It also adds a direct link to the official GitHub repository for the project.

Add pipeline tag and code link4e2afe42

harrychangtw changed pull request status to merged 3 days ago

harrychangtw deleted the refs/pr/1 ref 3 days ago

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment