Instructions to use HuggingFaceBio/Carbon-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use HuggingFaceBio/Carbon-3B with Transformers:

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

pipe = pipeline("text-generation", model="HuggingFaceBio/Carbon-3B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("HuggingFaceBio/Carbon-3B")
model = AutoModelForCausalLM.from_pretrained("HuggingFaceBio/Carbon-3B")

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use HuggingFaceBio/Carbon-3B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "HuggingFaceBio/Carbon-3B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HuggingFaceBio/Carbon-3B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/HuggingFaceBio/Carbon-3B

SGLang

How to use HuggingFaceBio/Carbon-3B 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 "HuggingFaceBio/Carbon-3B" \
    --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": "HuggingFaceBio/Carbon-3B",
		"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 "HuggingFaceBio/Carbon-3B" \
        --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": "HuggingFaceBio/Carbon-3B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use HuggingFaceBio/Carbon-3B with Docker Model Runner:
```
docker model run hf.co/HuggingFaceBio/Carbon-3B
```

Carbon-3B / README.md

Commit History

model card: fix skip_special_tokens decode (bug fixed), remove wrong left-padding TODO

ceed708
verified

kashif HF Staff commited on 10 days ago

Update model card namespace references (#3)

1e17783

lewtun HF Staff commited on 10 days ago

Update README.md (#2)

5f76c0a

danaaubakirova HF Staff commited on 11 days ago

Update README.md

b2b5137
verified

loubnabnl HF Staff commited on 11 days ago

Create README.md

3743563
verified

loubnabnl HF Staff commited on 11 days ago

Commit History

model card: fix skip_special_tokens decode (bug fixed), remove wrong left-padding TODO ceed708 verified

Update model card namespace references (#3) 1e17783

Update README.md (#2) 5f76c0a

Update README.md b2b5137 verified

Create README.md 3743563 verified

model card: fix skip_special_tokens decode (bug fixed), remove wrong left-padding TODO

ceed708
verified

Update model card namespace references (#3)

1e17783

Update README.md (#2)

5f76c0a

Update README.md

b2b5137
verified

Create README.md

3743563
verified