Instructions to use 01-ai/Yi-6B-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use 01-ai/Yi-6B-Chat with Transformers:

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

pipe = pipeline("text-generation", model="01-ai/Yi-6B-Chat")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("01-ai/Yi-6B-Chat")
model = AutoModelForCausalLM.from_pretrained("01-ai/Yi-6B-Chat")
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 01-ai/Yi-6B-Chat with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "01-ai/Yi-6B-Chat"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "01-ai/Yi-6B-Chat",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/01-ai/Yi-6B-Chat

SGLang

How to use 01-ai/Yi-6B-Chat 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 "01-ai/Yi-6B-Chat" \
    --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": "01-ai/Yi-6B-Chat",
		"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 "01-ai/Yi-6B-Chat" \
        --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": "01-ai/Yi-6B-Chat",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use 01-ai/Yi-6B-Chat with Docker Model Runner:
```
docker model run hf.co/01-ai/Yi-6B-Chat
```

Missing tokens

by awni - opened Jun 23, 2024

Discussion

awni

Jun 23, 2024

There are a few token ids which do not have corresponding values in the tokenizer config. For example, token ids 3, 4, and 5. What should be the value of those tokens?

The model vocab size is 64000 but the tokenizer only has 63992 tokens (len(tokenizer.vocab)). Should the missing values simply be ignored?

haijian06

Jun 25, 2024

•

edited Jun 25, 2024

Hi 👋, for the first question you can directly use transformers for encoder on it, for the second question the rest of the 8 tokens are our special tokens similar to <|im_start|>

lorinma

01-ai org Jun 25, 2024

Hi awni,

These two are actually one question. In the 'slow tokenizer,' SentencePiece is currently used, which involves some control IDs. These IDs cannot be encoded or decoded. Therefore, in the tokenizer.json, to keep the encoding and decoding results consistent with the slow tokenizer, we have removed these command IDs in the tokenizer.json.

I hope this answers your question :-)

awni

Jun 25, 2024

That answers my question, thanks! But I wonder, what happens if the model outputs one of the missing IDs? Wouldn't that break currently since the missing ID does not have a value?

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