Instructions to use tiiuae/falcon-40b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tiiuae/falcon-40b-instruct with Transformers:

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

pipe = pipeline("text-generation", model="tiiuae/falcon-40b-instruct", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("tiiuae/falcon-40b-instruct", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-40b-instruct", trust_remote_code=True)

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use tiiuae/falcon-40b-instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tiiuae/falcon-40b-instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tiiuae/falcon-40b-instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/tiiuae/falcon-40b-instruct

SGLang

How to use tiiuae/falcon-40b-instruct 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 "tiiuae/falcon-40b-instruct" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tiiuae/falcon-40b-instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "tiiuae/falcon-40b-instruct" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tiiuae/falcon-40b-instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use tiiuae/falcon-40b-instruct with Docker Model Runner:
```
docker model run hf.co/tiiuae/falcon-40b-instruct
```

falcon-40b-instruct error on Inference endpoint while deploying

#90

by digitalsanjeev - opened Dec 11, 2024

Discussion

digitalsanjeev

Dec 11, 2024

I am getting this error while trying to deploy falcon-40B-instruct on Nvidia L40S · 4x GPUs · 192 GB

Exit code: 1. Reason: │ │\n[rank2]: │ │ prefix = 'transformer.h.0' │ │\n[rank2]: │ │ self = FlashRWLayerNorm() │ │\n[rank2]: │ │ weights = <text_generation_server.utils.weights.Weights object at │ │\n[rank2]: │ │ 0x7f114d74a050> │ │\n[rank2]: │ ╰──────────────────────────────────────────────────────────────────────────╯ │\n[rank2]: ╰──────────────────────────────────────────────────────────────────────────────╯\n[rank2]: ValueError: Number of layer norms can either be 1 or 2."},"target":"text_generation_launcher","span":{"rank":2,"name":"shard-manager"},"spans":[{"rank":2,"name":"shard-manager"}]}
{"timestamp":"2024-12-11T19:01:39.518896Z","level":"INFO","fields":{"message":"Terminating shard"},"target":"text_generation_launcher","span":{"rank":3,"name":"shard-manager"},"spans":[{"rank":3,"name":"shard-manager"}]}
{"timestamp":"2024-12-11T19:01:39.518921Z","level":"INFO","fields":{"message":"Waiting for shard to gracefully shutdown"},"target":"text_generation_launcher","span":{"rank":3,"name":"shard-manager"},"spans":[{"rank":3,"name":"shard-manager"}]}
{"timestamp":"2024-12-11T19:01:39.712681Z","level":"INFO","fields":{"message":"shard terminated"},"target":"text_generation_launcher","span":{"rank":0,"name":"shard-manager"},"spans":[{"rank":0,"name":"shard-manager"}]}
{"timestamp":"2024-12-11T19:01:39.719146Z","level":"INFO","fields":{"message":"shard terminated"},"target":"text_generation_launcher","span":{"rank":3,"name":"shard-manager"},"spans":[{"rank":3,"name":"shard-manager"}]}
Error: ShardCannotStart

digitalsanjeev changed discussion title from Falcon-40b-instruct error on Inference endpoint while deploying to falcon-40b-instruct error on Inference endpoint while deploying Dec 11, 2024

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment