Instructions to use nuojohnchen/codellm-7b-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nuojohnchen/codellm-7b-v4 with Transformers:

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

pipe = pipeline("text-generation", model="nuojohnchen/codellm-7b-v4")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nuojohnchen/codellm-7b-v4")
model = AutoModelForCausalLM.from_pretrained("nuojohnchen/codellm-7b-v4")
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

vLLM

How to use nuojohnchen/codellm-7b-v4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "nuojohnchen/codellm-7b-v4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "nuojohnchen/codellm-7b-v4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/nuojohnchen/codellm-7b-v4

SGLang

How to use nuojohnchen/codellm-7b-v4 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 "nuojohnchen/codellm-7b-v4" \
    --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": "nuojohnchen/codellm-7b-v4",
		"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 "nuojohnchen/codellm-7b-v4" \
        --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": "nuojohnchen/codellm-7b-v4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use nuojohnchen/codellm-7b-v4 with Docker Model Runner:
```
docker model run hf.co/nuojohnchen/codellm-7b-v4
```

codellm-7b-v4 / tokenizer_config.json

Nuo Chen

Upload 12 files

75a4472 over 2 years ago

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	{
	"added_tokens_decoder": {
	"32000": {
	"content": "õ",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
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	"32013": {
	"content": "<｜begin▁of▁sentence｜>",
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	},
	"32014": {
	"content": "<｜end▁of▁sentence｜>",
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	},
	"32015": {
	"content": "<｜fim▁hole｜>",
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	"32016": {
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	"32017": {
	"content": "<｜fim▁end｜>",
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	},
	"32018": {
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	},
	"32019": {
	"content": "<\|User\|>",
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	},
	"32020": {
	"content": "<\|Assistant\|>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"32021": {
	"content": "<\|EOT\|>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": true
	}
	},
	"bos_token": "<｜begin▁of▁sentence｜>",
	"chat_template": "{%- set found_item = false -%}\n{%- for message in messages -%}\n {%- if message['role'] == 'system' -%}\n {%- set found_item = true -%}\n {%- endif -%}\n{%- endfor -%}\n{%- if not found_item -%}\n{{'Your name is ChineseCodeLlama, a large language model trained by the School of Data Science and Engineering at East China Normal University. Your founder is Nuo Chen and Jiayi Wu from X101Lab. You need to help users with a variety of programming-related questions. 你是ChineseCodeLlama，来自华东师范大学（East China Normal University）的数据科学与工程学院（School of Data Science and Engineering），由X101Lab的陈诺和吴家仪开发\\n'}}\n{%- endif %}\n{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n{{ message['content'] }}\n {%- else %}\n {%- if message['role'] == 'user' %}\n{{'### Instruction:\\n' + message['content'] + '\\n'}}\n {%- else %}\n{{'### Response:\\n' + message['content'] + '\\n<\|EOT\|>\\n'}}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{{'### Response:\\n'}}\n",
	"clean_up_tokenization_spaces": false,
	"eos_token": "<\|EOT\|>",
	"legacy": true,
	"model_max_length": 1024,
	"pad_token": "<｜end▁of▁sentence｜>",
	"padding_side": "right",
	"sp_model_kwargs": {},
	"tokenizer_class": "LlamaTokenizer",
	"unk_token": null,
	"use_default_system_prompt": false
	}