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

Libraries

How to use QuixiAI/samantha-falcon-7b with Transformers:

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

pipe = pipeline("text-generation", model="QuixiAI/samantha-falcon-7b", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("QuixiAI/samantha-falcon-7b", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use QuixiAI/samantha-falcon-7b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "QuixiAI/samantha-falcon-7b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "QuixiAI/samantha-falcon-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/QuixiAI/samantha-falcon-7b

SGLang

How to use QuixiAI/samantha-falcon-7b 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 "QuixiAI/samantha-falcon-7b" \
    --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": "QuixiAI/samantha-falcon-7b",
		"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 "QuixiAI/samantha-falcon-7b" \
        --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": "QuixiAI/samantha-falcon-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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

Please change: "model is subject to the TII Falcon LLM License Version 1.0" : Falcon 7b is already full Apache 2

by maddes8cht - opened Sep 24, 2023

Discussion

maddes8cht

Sep 24, 2023

•

edited Sep 24, 2023

Hi
on the model card it still says:
"Please note that this model is subject to the TII Falcon LLM License Version 1.0, a copy of which is included. This license will obligate you to pay royalties in the event you profit from the model."

Which may have been true at the time you released, but you already know thatnow falcon 7b is full Apache 2 license
:)
So maybe change that.

I took the freedom and already changed the license on my gguf build of your model here:
https://huggingface.co/maddes8cht/ehartford-samantha-falcon-7b-gguf

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