Instructions to use Salesforce/codegen-16B-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Salesforce/codegen-16B-multi with Transformers:

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

pipe = pipeline("text-generation", model="Salesforce/codegen-16B-multi")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Salesforce/codegen-16B-multi")
model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen-16B-multi", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Salesforce/codegen-16B-multi with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Salesforce/codegen-16B-multi"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Salesforce/codegen-16B-multi",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Salesforce/codegen-16B-multi

SGLang

How to use Salesforce/codegen-16B-multi 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 "Salesforce/codegen-16B-multi" \
    --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": "Salesforce/codegen-16B-multi",
		"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 "Salesforce/codegen-16B-multi" \
        --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": "Salesforce/codegen-16B-multi",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Salesforce/codegen-16B-multi with Docker Model Runner:
```
docker model run hf.co/Salesforce/codegen-16B-multi
```

codegen-16B-multi

Commit History

Feb 2, 2025

12:44
Adding `safetensors` variant of this model⁠

SFconvertbot

Verified signature
d572628

Jan 31, 2025

21:25
Update README.md

enijkamp

Verified signature
049249f

Oct 3, 2022

16:18
Set model_max_length to 2048

rooa

efa2106

Oct 2, 2022

23:30
Fix eos_token_id

rooa

1195c08

Jun 28, 2022

17:53
Update README.md

rooa

f509e15
17:42
Update README.md

rooa

37166ae
15:51
Update tokenizer_config.json

rooa

258b1e9

Jun 23, 2022

19:46
Rename mask weights following the new model class

rooa

acf5a3b

Apr 15, 2022

00:37
update name

rooa

54b42f4

Apr 14, 2022

20:53
Initial commit

rooa

be14ade

Apr 13, 2022

00:52
initial commit

Hiroaki Hayashi

232095b

Commit History

Feb 2, 2025

Adding `safetensors` variant of this model⁠

Jan 31, 2025

Update README.md

Oct 3, 2022

Set model_max_length to 2048

Oct 2, 2022

Fix eos_token_id

Jun 28, 2022

Update README.md

Update README.md

Update tokenizer_config.json

Jun 23, 2022

Rename mask weights following the new model class

Apr 15, 2022

update name

Apr 14, 2022

Initial commit

Apr 13, 2022

initial commit