Instructions to use ise-uiuc/Magicoder-S-DS-6.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ise-uiuc/Magicoder-S-DS-6.7B with Transformers:

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

pipe = pipeline("text-generation", model="ise-uiuc/Magicoder-S-DS-6.7B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

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

tokenizer = AutoTokenizer.from_pretrained("ise-uiuc/Magicoder-S-DS-6.7B")
model = AutoModelForCausalLM.from_pretrained("ise-uiuc/Magicoder-S-DS-6.7B", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ise-uiuc/Magicoder-S-DS-6.7B 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-DS-6.7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ise-uiuc/Magicoder-S-DS-6.7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ise-uiuc/Magicoder-S-DS-6.7B

SGLang

How to use ise-uiuc/Magicoder-S-DS-6.7B 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-DS-6.7B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ise-uiuc/Magicoder-S-DS-6.7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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-DS-6.7B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ise-uiuc/Magicoder-S-DS-6.7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ise-uiuc/Magicoder-S-DS-6.7B with Docker Model Runner:
```
docker model run hf.co/ise-uiuc/Magicoder-S-DS-6.7B
```

yuxiang630 commited on Dec 6, 2023

Commit

eabeced

1 Parent(s): 466801d

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README.md +7 -2

README.md CHANGED Viewed

@@ -37,6 +37,11 @@ pipeline_tag: text-generation
 * **Demo (powered by [Gradio](https://www.gradio.app)):**
 <https://github.com/ise-uiuc/magicoder/tree/main/demo>
 ## Uses
 ### Direct Use
@@ -88,7 +93,7 @@ print(result[0]["generated_text"])
 Refer to our GitHub repo: [ise-uiuc/magicoder](https://github.com/ise-uiuc/magicoder/).
-## 📝 Citation
 ```bibtex
 @misc{magicoder,
@@ -101,7 +106,7 @@ Refer to our GitHub repo: [ise-uiuc/magicoder](https://github.com/ise-uiuc/magic
 }
 ```
-## 🙏 Acknowledgements
 * [WizardCoder](https://github.com/nlpxucan/WizardLM/tree/main/WizardCoder): Evol-Instruct
 * [DeepSeek-Coder](https://github.com/deepseek-ai/DeepSeek-Coder): Base model for Magicoder-DS

 * **Demo (powered by [Gradio](https://www.gradio.app)):**
 <https://github.com/ise-uiuc/magicoder/tree/main/demo>
+### Training Data
+* [Magicoder-OSS-Instruct-75K](https://huggingface.co/datasets/ise-uiuc/Magicoder_oss_instruct_75k): generated through **OSS-Instruct** using `gpt-3.5-turbo-1106` and used to train both Magicoder and Magicoder-S series.
+* [Magicoder-Evol-Instruct-110K](https://huggingface.co/datasets/ise-uiuc/Magicoder_evol_instruct_110k): decontaminated and redistributed from [theblackcat102/evol-codealpaca-v1](https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1), used to further finetune Magicoder series and obtain Magicoder-S models.
 ## Uses
 ### Direct Use
 Refer to our GitHub repo: [ise-uiuc/magicoder](https://github.com/ise-uiuc/magicoder/).
+## Citation
 ```bibtex
 @misc{magicoder,
 }
 ```
+## Acknowledgements
 * [WizardCoder](https://github.com/nlpxucan/WizardLM/tree/main/WizardCoder): Evol-Instruct
 * [DeepSeek-Coder](https://github.com/deepseek-ai/DeepSeek-Coder): Base model for Magicoder-DS