Instructions to use solidrust/Meta-Llama-Guard-2-8B-AWQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use solidrust/Meta-Llama-Guard-2-8B-AWQ with Transformers:

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

pipe = pipeline("text-generation", model="solidrust/Meta-Llama-Guard-2-8B-AWQ")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("solidrust/Meta-Llama-Guard-2-8B-AWQ")
model = AutoModelForCausalLM.from_pretrained("solidrust/Meta-Llama-Guard-2-8B-AWQ")
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 Settings

vLLM

How to use solidrust/Meta-Llama-Guard-2-8B-AWQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "solidrust/Meta-Llama-Guard-2-8B-AWQ"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "solidrust/Meta-Llama-Guard-2-8B-AWQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/solidrust/Meta-Llama-Guard-2-8B-AWQ

SGLang

How to use solidrust/Meta-Llama-Guard-2-8B-AWQ 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 "solidrust/Meta-Llama-Guard-2-8B-AWQ" \
    --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": "solidrust/Meta-Llama-Guard-2-8B-AWQ",
		"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 "solidrust/Meta-Llama-Guard-2-8B-AWQ" \
        --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": "solidrust/Meta-Llama-Guard-2-8B-AWQ",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use solidrust/Meta-Llama-Guard-2-8B-AWQ with Docker Model Runner:
```
docker model run hf.co/solidrust/Meta-Llama-Guard-2-8B-AWQ
```

Meta-Llama-Guard-2-8B-AWQ

Commit History

Added base_model tag in README.md

c5e6447
verified

Suparious commited on Sep 3, 2024

Update LICENSE

789e232
verified

Suparious commited on Apr 24, 2024

Create LICENSE

2b860ce
verified

Suparious commited on Apr 24, 2024

Update README.md

f8c88bb
verified

Suparious commited on Apr 21, 2024

adding initial model card

0388fb1

Ubuntu commited on Apr 19, 2024

adding quant config

e71c4c7

Ubuntu commited on Apr 19, 2024

adding AWQ model

e3d7fc2

Ubuntu commited on Apr 19, 2024

initial commit

4856be5
verified

Suparious commited on Apr 19, 2024

Commit History

Added base_model tag in README.md c5e6447 verified

Update LICENSE 789e232 verified

Create LICENSE 2b860ce verified

Update README.md f8c88bb verified

adding initial model card 0388fb1

adding quant config e71c4c7

adding AWQ model e3d7fc2

initial commit 4856be5 verified

Added base_model tag in README.md

c5e6447
verified

Update LICENSE

789e232
verified

Create LICENSE

2b860ce
verified

Update README.md

f8c88bb
verified

adding initial model card

0388fb1

adding quant config

e71c4c7

adding AWQ model

e3d7fc2

initial commit

4856be5
verified