Instructions to use Kwang-su/llama3-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Kwang-su/llama3-model with Transformers:

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

pipe = pipeline("text-generation", model="Kwang-su/llama3-model")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

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

tokenizer = AutoTokenizer.from_pretrained("Kwang-su/llama3-model")
model = AutoModelForCausalLM.from_pretrained("Kwang-su/llama3-model", device_map="auto")
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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Kwang-su/llama3-model with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Kwang-su/llama3-model"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Kwang-su/llama3-model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Kwang-su/llama3-model

SGLang

How to use Kwang-su/llama3-model 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 "Kwang-su/llama3-model" \
    --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": "Kwang-su/llama3-model",
		"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 "Kwang-su/llama3-model" \
        --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": "Kwang-su/llama3-model",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Kwang-su/llama3-model with Docker Model Runner:
```
docker model run hf.co/Kwang-su/llama3-model
```

Kwang-su commited on Aug 8, 2024

Commit

10aa68c

verified ·

1 Parent(s): e4cfe2b

Upload LlamaForCausalLM

Browse files

Files changed (3) hide show

model-00001-of-00004.safetensors +1 -1
model-00002-of-00004.safetensors +1 -1
model-00003-of-00004.safetensors +1 -1

model-00001-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d51d088f247ae0dc37a4c930fa3c33548c93bf868864313896e5712d25f1e575
 size 4976698592

 version https://git-lfs.github.com/spec/v1
+oid sha256:ae5dba70af566bd2605181a93430bb76525f22ce86bcf44edb9eb9dc191f8812
 size 4976698592

model-00002-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:48ad4ca36d2ddd89d7ce44cfa7e29319a49279f87c46efdb374910625bdd8708
 size 4999802616

 version https://git-lfs.github.com/spec/v1
+oid sha256:f7a9f552c44dbdc359885b6c83de275a68b456f0b448c18785746e6e9d1a7181
 size 4999802616

model-00003-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:456368ec9542aad435cc369f26fd73814faa016d7c50f426afd603b2e4572892
 size 4915916080

 version https://git-lfs.github.com/spec/v1
+oid sha256:9db77615a89f8f8516229936e04469e00255f19980cd546dfcf2a56149f99aac
 size 4915916080