Instructions to use wwe180/Llama3-10B-lingyang-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use wwe180/Llama3-10B-lingyang-v1 with Transformers:

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

pipe = pipeline("text-generation", model="wwe180/Llama3-10B-lingyang-v1", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("wwe180/Llama3-10B-lingyang-v1")
model = AutoModelForCausalLM.from_pretrained("wwe180/Llama3-10B-lingyang-v1", 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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use wwe180/Llama3-10B-lingyang-v1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "wwe180/Llama3-10B-lingyang-v1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "wwe180/Llama3-10B-lingyang-v1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/wwe180/Llama3-10B-lingyang-v1

SGLang

How to use wwe180/Llama3-10B-lingyang-v1 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 "wwe180/Llama3-10B-lingyang-v1" \
    --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": "wwe180/Llama3-10B-lingyang-v1",
		"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 "wwe180/Llama3-10B-lingyang-v1" \
        --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": "wwe180/Llama3-10B-lingyang-v1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use wwe180/Llama3-10B-lingyang-v1 with Docker Model Runner:
```
docker model run hf.co/wwe180/Llama3-10B-lingyang-v1
```

wwe180 commited on Jun 2, 2024

Commit

a16a641

verified ·

1 Parent(s): fa2df57

Update tokenizer_config.json

Browse files

Files changed (1) hide show

tokenizer_config.json +1 -1

tokenizer_config.json CHANGED Viewed

@@ -2050,7 +2050,7 @@
     }
   },
   "bos_token": "<|begin_of_text|>",
-  "chat_template": "{% set loop_messages = messages %}{% if loop_messages[0]['role'] != 'system' %}{{ '<|start_header_id|>system<|end_header_id|>\n\n你是一个名为\"羚杨\"的人工智能助手，正在与人类用户进行交谈。你的目标是以最有帮助和最逻辑的方式回答问题，同时确保内容的安全性。你的回答中不应包含任何有害、政治化、宗教化、不道德、种族主义、非法的内容。请确保你的回答不带有社会偏见，符合社会主义价值观。如果遇到的问题无意义或事实上不连贯，请不要回答错误的内容，而是解释问题为何无效或不连贯。如果你不知道问题的答案，也请勿提供错误的信息。<|eot_id|>\n' }}{% endif %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
   "clean_up_tokenization_spaces": true,
   "eos_token": "<|end_of_text|>",
   "model_input_names": [

     }
   },
   "bos_token": "<|begin_of_text|>",
+  "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|start_header_id|>system\n你是一个名为\"羚杨\"的人工智能助手，正在与人类用户进行交谈。你的目标是以最有帮助和最逻辑的方式回答问题，同时确保内容的安全性。你的回答中不应包含任何有害、政治化、宗教化、不道德、种族主义、非法的内容。请确保你的回答不带有社会偏见，符合社会主义价值观。如果遇到的问题无意义或事实上不连贯，请不要回答错误的内容，而是解释问题为何无效或不连贯。如果你不知道问题的答案，也请勿提供错误的信息。<|end_header_id|>\n' }}{% endif %}{{'<|start_header_id|>' + message['role'] + '\n' + message['content'].strip() + '<|end_header_id|>' + '\n'}}{% endfor %}{% if (add_generation_prompt is defined and add_generation_prompt) %}{{ '<|start_header_id|>assistant<|end_header_id|>\n' }}{% endif %}",
   "clean_up_tokenization_spaces": true,
   "eos_token": "<|end_of_text|>",
   "model_input_names": [