Instructions to use ericzzz/falcon-rw-1b-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ericzzz/falcon-rw-1b-chat with Transformers:

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

pipe = pipeline("text-generation", model="ericzzz/falcon-rw-1b-chat")
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("ericzzz/falcon-rw-1b-chat")
model = AutoModelForCausalLM.from_pretrained("ericzzz/falcon-rw-1b-chat", 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 ericzzz/falcon-rw-1b-chat with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ericzzz/falcon-rw-1b-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": "ericzzz/falcon-rw-1b-chat",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ericzzz/falcon-rw-1b-chat

SGLang

How to use ericzzz/falcon-rw-1b-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 "ericzzz/falcon-rw-1b-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": "ericzzz/falcon-rw-1b-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 "ericzzz/falcon-rw-1b-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": "ericzzz/falcon-rw-1b-chat",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ericzzz/falcon-rw-1b-chat with Docker Model Runner:
```
docker model run hf.co/ericzzz/falcon-rw-1b-chat
```

KeyError: 'falcon'

by abdul0807 - opened Jan 31, 2024

Discussion

abdul0807

Jan 31, 2024

•

edited Jan 31, 2024

I am getting KeyError: 'falcon' when trying to run the transformer pipeline using this model. I have installed transformers==4.30.2 on my machine. Any idea on the KeyError? Please let me know how to fix it.

ericzzz

Owner Feb 2, 2024

Hi can you try using the example code in the model card instead? There seems to be some compatibility issues with transformer pipeline.

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