Instructions to use tiiuae/falcon-7b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tiiuae/falcon-7b-instruct with Transformers:

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

pipe = pipeline("text-generation", model="tiiuae/falcon-7b-instruct", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("tiiuae/falcon-7b-instruct", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b-instruct", trust_remote_code=True)
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 tiiuae/falcon-7b-instruct with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/tiiuae/falcon-7b-instruct

SGLang

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

Docker Model Runner
How to use tiiuae/falcon-7b-instruct with Docker Model Runner:
```
docker model run hf.co/tiiuae/falcon-7b-instruct
```

Update README.md

#112

by LauraSophie - opened Dec 30, 2023

base: refs/heads/main

←

from: refs/pr/112

Discussion Files changed

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README.md +19 -14

README.md CHANGED Viewed

@@ -1,22 +1,27 @@
 ---
 datasets:
-  - tiiuae/falcon-refinedweb
 language:
-  - en
 inference: true
 widget:
-  - text: "Hey Falcon! Any recommendations for my holidays in Abu Dhabi?"
-    example_title: "Abu Dhabi Trip"
-  - text: "What's the Everett interpretation of quantum mechanics?"
-    example_title: "Q/A: Quantum & Answers"
-  - text: "Give me a list of the top 10 dive sites you would recommend around the world."
-    example_title: "Diving Top 10"
-  - text: "Can you tell me more about deep-water soloing?"
-    example_title: "Extreme sports"
-  - text: "Can you write a short tweet about the Apache 2.0 release of our latest AI model, Falcon LLM?"
-    example_title: "Twitter Helper"
-  - text: "What are the responsabilities of a Chief Llama Officer?"
-    example_title: "Trendy Jobs"
 license: apache-2.0
 ---

 ---
 datasets:
+- tiiuae/falcon-refinedweb
 language:
+- en
+- de
 inference: true
 widget:
+- text: Hey Falcon! Any recommendations for my holidays in Abu Dhabi?
+  example_title: Abu Dhabi Trip
+- text: What's the Everett interpretation of quantum mechanics?
+  example_title: 'Q/A: Quantum & Answers'
+- text: >-
+    Give me a list of the top 10 dive sites you would recommend around the
+    world.
+  example_title: Diving Top 10
+- text: Can you tell me more about deep-water soloing?
+  example_title: Extreme sports
+- text: >-
+    Can you write a short tweet about the Apache 2.0 release of our latest AI
+    model, Falcon LLM?
+  example_title: Twitter Helper
+- text: What are the responsabilities of a Chief Llama Officer?
+  example_title: Trendy Jobs
 license: apache-2.0
 ---