Instructions to use enterprise-explorers/Llama-2-7b-chat-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use enterprise-explorers/Llama-2-7b-chat-coreml with Transformers:

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

pipe = pipeline("text-generation", model="enterprise-explorers/Llama-2-7b-chat-coreml")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("enterprise-explorers/Llama-2-7b-chat-coreml")
model = AutoModelForCausalLM.from_pretrained("enterprise-explorers/Llama-2-7b-chat-coreml", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use enterprise-explorers/Llama-2-7b-chat-coreml with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "enterprise-explorers/Llama-2-7b-chat-coreml"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "enterprise-explorers/Llama-2-7b-chat-coreml",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/enterprise-explorers/Llama-2-7b-chat-coreml

SGLang

How to use enterprise-explorers/Llama-2-7b-chat-coreml 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 "enterprise-explorers/Llama-2-7b-chat-coreml" \
    --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": "enterprise-explorers/Llama-2-7b-chat-coreml",
		"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 "enterprise-explorers/Llama-2-7b-chat-coreml" \
        --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": "enterprise-explorers/Llama-2-7b-chat-coreml",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use enterprise-explorers/Llama-2-7b-chat-coreml with Docker Model Runner:
```
docker model run hf.co/enterprise-explorers/Llama-2-7b-chat-coreml
```

When i try to load the model

by SriBalaaji - opened Jul 24, 2023

Discussion

SriBalaaji

Jul 24, 2023

Error : There was a problem decoding this Core ML document
missingMetadataField(named: "inputSchema")

I would really like some help with it

pcuenq

Enterprise Explorers org Aug 23, 2023

•

edited Aug 23, 2023

Hi @SriBalaaji , how are you trying to use the model? If you download this repo and drag the mlpackage bundle inside an Xcode project, it should work. You can also follow the steps we recently published in https://huggingface.co/blog/swift-coreml-llm, and maybe use our demo app as a starting point.

SriBalaaji

Aug 23, 2023

Thank you @pcuenq

johnamcruz

Oct 7, 2023

This comment has been hidden

DrBenjamin

Feb 10, 2024

Hello!
I try to use demo app. When I import the mlpackage I get the error that the compilation of the asset catalog failed. How should I import the model?

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