Instructions to use aws-neuron/CodeLlama-7b-hf-neuron-24xlarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use aws-neuron/CodeLlama-7b-hf-neuron-24xlarge with Transformers:

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

pipe = pipeline("text-generation", model="aws-neuron/CodeLlama-7b-hf-neuron-24xlarge")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("aws-neuron/CodeLlama-7b-hf-neuron-24xlarge")
model = AutoModelForCausalLM.from_pretrained("aws-neuron/CodeLlama-7b-hf-neuron-24xlarge", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use aws-neuron/CodeLlama-7b-hf-neuron-24xlarge with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "aws-neuron/CodeLlama-7b-hf-neuron-24xlarge"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "aws-neuron/CodeLlama-7b-hf-neuron-24xlarge",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/aws-neuron/CodeLlama-7b-hf-neuron-24xlarge

SGLang

How to use aws-neuron/CodeLlama-7b-hf-neuron-24xlarge 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 "aws-neuron/CodeLlama-7b-hf-neuron-24xlarge" \
    --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": "aws-neuron/CodeLlama-7b-hf-neuron-24xlarge",
		"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 "aws-neuron/CodeLlama-7b-hf-neuron-24xlarge" \
        --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": "aws-neuron/CodeLlama-7b-hf-neuron-24xlarge",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use aws-neuron/CodeLlama-7b-hf-neuron-24xlarge with Docker Model Runner:
```
docker model run hf.co/aws-neuron/CodeLlama-7b-hf-neuron-24xlarge
```

jburtoft commited on Dec 28, 2023

Commit

1fa02b8

1 Parent(s): fa73cc6

Update README.md

Browse files

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -43,7 +43,7 @@ _coming soon_
     max_length=200,
 )
 [{'generated_text': 'import socket\n\ndef ping_exponential_backoff(host: str):\n    """\n    Ping a host with exponential backoff.\n\n    :param host: Host to ping\n    :return: True if host is reachable, False otherwise\n    """\n    for i in range(1, 10):\n        try:\n            socket.create_connection((host, 80), 1).close()\n            return True\n        except OSError:\n            time.sleep(2 ** i)\n    return False\n\n\ndef ping_exponential_backoff_with_timeout(host: str, timeout: int):\n    """\n    Ping a host with exponential backoff and timeout.\n\n    :param host: Host to ping\n    :param timeout: Timeout in seconds\n    :return: True if host is reachable, False otherwise\n    """\n    for'}]
 This repository contains tags specific to versions of `neuronx`. When using with 🤗 `optimum-neuron`, use the repo revision specific to the version of `neuronx` you are using, to load the right serialized checkpoints.
 ## Arguments passed during export

     max_length=200,
 )
 [{'generated_text': 'import socket\n\ndef ping_exponential_backoff(host: str):\n    """\n    Ping a host with exponential backoff.\n\n    :param host: Host to ping\n    :return: True if host is reachable, False otherwise\n    """\n    for i in range(1, 10):\n        try:\n            socket.create_connection((host, 80), 1).close()\n            return True\n        except OSError:\n            time.sleep(2 ** i)\n    return False\n\n\ndef ping_exponential_backoff_with_timeout(host: str, timeout: int):\n    """\n    Ping a host with exponential backoff and timeout.\n\n    :param host: Host to ping\n    :param timeout: Timeout in seconds\n    :return: True if host is reachable, False otherwise\n    """\n    for'}]
+```
 This repository contains tags specific to versions of `neuronx`. When using with 🤗 `optimum-neuron`, use the repo revision specific to the version of `neuronx` you are using, to load the right serialized checkpoints.
 ## Arguments passed during export