Instructions to use Salesforce/codegen25-7b-mono_P with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Salesforce/codegen25-7b-mono_P with Transformers:

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

pipe = pipeline("text-generation", model="Salesforce/codegen25-7b-mono_P")

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

tokenizer = AutoTokenizer.from_pretrained("Salesforce/codegen25-7b-mono_P")
model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen25-7b-mono_P", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Salesforce/codegen25-7b-mono_P with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Salesforce/codegen25-7b-mono_P"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Salesforce/codegen25-7b-mono_P",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Salesforce/codegen25-7b-mono_P

SGLang

How to use Salesforce/codegen25-7b-mono_P 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/codegen25-7b-mono_P" \
    --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/codegen25-7b-mono_P",
		"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/codegen25-7b-mono_P" \
        --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/codegen25-7b-mono_P",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Salesforce/codegen25-7b-mono_P with Docker Model Runner:
```
docker model run hf.co/Salesforce/codegen25-7b-mono_P
```

codegen25-7b-mono_P

Commit History

Mar 25, 2025

05:08
Adding `safetensors` variant of this model⁠

SFconvertbot

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f3ce602

Jan 31, 2025

21:38
Update README.md

enijkamp

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1c90c89

Feb 1, 2024

00:21
Undo breaking change for now

enijkamp

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94ea6ac

Jan 14, 2024

19:40
Update tokenization_codegen25.py

enijkamp

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add74d5

Jul 13, 2023

16:42
update metadata (#1)⁠

rooa +1: lvwerra

29854f8

Jul 11, 2023

17:20
Update README.md

rooa

4b7656b

Jul 7, 2023

05:18
Update README.md

rooa

d693bb4

Jul 6, 2023

18:01
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rooa

233070c
17:48
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rooa

8da4a03
07:34
initial commit

rooa

d4ab98c

Commit History

Mar 25, 2025

Adding `safetensors` variant of this model⁠

Jan 31, 2025

Update README.md

Feb 1, 2024

Undo breaking change for now

Jan 14, 2024

Update tokenization_codegen25.py

Jul 13, 2023

update metadata (#1)⁠

Jul 11, 2023

Update README.md

Jul 7, 2023

Update README.md

Jul 6, 2023

.

.

initial commit