Instructions to use ise-uiuc/Magicoder-S-CL-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ise-uiuc/Magicoder-S-CL-7B with Transformers:

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

pipe = pipeline("text-generation", model="ise-uiuc/Magicoder-S-CL-7B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ise-uiuc/Magicoder-S-CL-7B")
model = AutoModelForCausalLM.from_pretrained("ise-uiuc/Magicoder-S-CL-7B")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use ise-uiuc/Magicoder-S-CL-7B with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/ise-uiuc/Magicoder-S-CL-7B

SGLang

How to use ise-uiuc/Magicoder-S-CL-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 "ise-uiuc/Magicoder-S-CL-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": "ise-uiuc/Magicoder-S-CL-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 "ise-uiuc/Magicoder-S-CL-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": "ise-uiuc/Magicoder-S-CL-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ise-uiuc/Magicoder-S-CL-7B with Docker Model Runner:
```
docker model run hf.co/ise-uiuc/Magicoder-S-CL-7B
```

yuxiang630 commited on Dec 6, 2023

Commit

cf49bc9

1 Parent(s): 8fe7d02

tiny: arxiv link

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README.md +1 -1

README.md CHANGED Viewed

@@ -32,7 +32,7 @@ pipeline_tag: text-generation
 ### Model Sources
 * **Repository:** <https://github.com/ise-uiuc/magicoder>
-* **Paper:** <https://arxiv.org/pdf/2312.02120.pdf>
 * **Demo (powered by [Gradio](https://www.gradio.app)):**
 <https://github.com/ise-uiuc/magicoder/tree/main/demo>

 ### Model Sources
 * **Repository:** <https://github.com/ise-uiuc/magicoder>
+* **Paper:** <https://arxiv.org/abs/2312.02120>
 * **Demo (powered by [Gradio](https://www.gradio.app)):**
 <https://github.com/ise-uiuc/magicoder/tree/main/demo>