Instructions to use allenai/open-instruct-code-alpaca-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use allenai/open-instruct-code-alpaca-7b with Transformers:

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

pipe = pipeline("text-generation", model="allenai/open-instruct-code-alpaca-7b")

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

tokenizer = AutoTokenizer.from_pretrained("allenai/open-instruct-code-alpaca-7b")
model = AutoModelForCausalLM.from_pretrained("allenai/open-instruct-code-alpaca-7b", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use allenai/open-instruct-code-alpaca-7b with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/allenai/open-instruct-code-alpaca-7b

SGLang

How to use allenai/open-instruct-code-alpaca-7b 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 "allenai/open-instruct-code-alpaca-7b" \
    --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": "allenai/open-instruct-code-alpaca-7b",
		"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 "allenai/open-instruct-code-alpaca-7b" \
        --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": "allenai/open-instruct-code-alpaca-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use allenai/open-instruct-code-alpaca-7b with Docker Model Runner:
```
docker model run hf.co/allenai/open-instruct-code-alpaca-7b
```

open-instruct-code-alpaca-7b

Commit History

Mar 23, 2025

04:14
Adding `safetensors` variant of this model⁠

SFconvertbot

Verified signature
55b71c6

Jun 20, 2023

17:49
tokenizer fix

hamishivi

6fa94d5

Jun 9, 2023

03:46
Update README.md

hamishivi

88c78a4
03:45
Update LICENSE.txt

hamishivi

295e592
03:45
Upload 2 files

hamishivi

87ec224
03:45
Create README.md

hamishivi

caa2ebc

Jun 7, 2023

17:27
Upload tokenizer

hamishivi

e396dea
17:27
Upload LlamaForCausalLM

hamishivi

9a027a5
17:06
initial commit

hamishivi

bc08f1e

Commit History

Mar 23, 2025

Adding `safetensors` variant of this model⁠

Jun 20, 2023

tokenizer fix

Jun 9, 2023

Update README.md

Update LICENSE.txt

Upload 2 files

Create README.md

Jun 7, 2023

Upload tokenizer

Upload LlamaForCausalLM

initial commit