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)

# 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")
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=40)
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 Mar 6, 2024

Commit

b3ed7cb

verified ·

1 Parent(s): cff055b

Upload tokenizer

Browse files

Files changed (2) hide show

README.md +2 -2
tokenizer_config.json +2 -2

README.md CHANGED Viewed

@@ -1,10 +1,10 @@
 ---
 license: other
-license_name: deepseek
 datasets:
 - ise-uiuc/Magicoder-OSS-Instruct-75K
 - ise-uiuc/Magicoder-Evol-Instruct-110K
-library_name: transformers
 pipeline_tag: text-generation
 ---
 # 🎩 Magicoder: Source Code Is All You Need

 ---
 license: other
+library_name: transformers
 datasets:
 - ise-uiuc/Magicoder-OSS-Instruct-75K
 - ise-uiuc/Magicoder-Evol-Instruct-110K
+license_name: deepseek
 pipeline_tag: text-generation
 ---
 # 🎩 Magicoder: Source Code Is All You Need

tokenizer_config.json CHANGED Viewed

@@ -180,6 +180,7 @@
     }
   },
   "bos_token": "<｜begin▁of▁sentence｜>",
   "clean_up_tokenization_spaces": false,
   "eos_token": "<｜end▁of▁sentence｜>",
   "legacy": true,
@@ -188,6 +189,5 @@
   "sp_model_kwargs": {},
   "tokenizer_class": "LlamaTokenizer",
   "unk_token": null,
-  "use_default_system_prompt": false,
-  "chat_template": "{%- set ns = namespace(found=false) -%}\n{%- for message in messages -%}\n    {%- if message['role'] == 'system' -%}\n        {%- set ns.found = true -%}\n    {%- endif -%}\n{%- endfor -%}\n{{bos_token}}{%- if not ns.found -%}\n{%- endif %}\n{%- for message in messages %}\n    {%- if message['role'] == 'system' %}\n{{ message['content'] + '\\n\\n' }}\n    {%- else %}\n        {%- if message['role'] == 'user' %}\n{{'@@ Instruction\\n' + message['content'] + '\\n\\n'}}\n        {%- else %}\n{{'@@ Response\\n' + message['content'] + '\\n' + eos_token + '\\n'}}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}{% if add_generation_prompt %}{{ '@@ Response\n' }}{% endif %}"
 }

     }
   },
   "bos_token": "<｜begin▁of▁sentence｜>",
+  "chat_template": "{{bos_token}}{{'You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions.\n\n'}}\n{%- for message in messages %}\n    {%- if message['role'] == 'system' %}\n        {{ raise_exception('System messages are not allowed in this template.') }}\n    {%- else %}\n        {%- if message['role'] == 'user' %}\n{{'@@ Instruction\n' + message['content'] + '\n\n'}}\n        {%- else %}\n{{'@@ Response\n' + message['content'] + eos_token + '\n\n'}}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{{'@@ Response\n'}}",
   "clean_up_tokenization_spaces": false,
   "eos_token": "<｜end▁of▁sentence｜>",
   "legacy": true,
   "sp_model_kwargs": {},
   "tokenizer_class": "LlamaTokenizer",
   "unk_token": null,
+  "use_default_system_prompt": false
 }