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")

# 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")

Notebooks
Google Colab
Kaggle
Local Apps

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
```

hamishivi commited on Jun 9, 2023

Commit

295e592

1 Parent(s): 87ec224

Update LICENSE.txt

Browse files

Files changed (1) hide show

LICENSE.txt +1 -1

LICENSE.txt CHANGED Viewed

@@ -66,7 +66,7 @@ You will not, and will not permit, assist or cause any third party to:
 Together with any copies of the Model Components (as well as derivative works thereof or works incorporating the Model Components) that you distribute, you must provide
       1. a copy of this License; and
-      2. the following attribution notice: open-instruct-dolly-7b is licensed under the AI Model License, Copyright © The Allen Institute for Artificial Intelligence. All Rights Reserved.”
          4. DISCLAIMERS

 Together with any copies of the Model Components (as well as derivative works thereof or works incorporating the Model Components) that you distribute, you must provide
       1. a copy of this License; and
+      2. the following attribution notice: open-instruct-code-alpaca-7b is licensed under the AI Model License, Copyright © The Allen Institute for Artificial Intelligence. All Rights Reserved.”
          4. DISCLAIMERS