Instructions to use pearl-ai/Llama-3.3-70B-Instruct-pearl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pearl-ai/Llama-3.3-70B-Instruct-pearl with Transformers:

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

pipe = pipeline("text-generation", model="pearl-ai/Llama-3.3-70B-Instruct-pearl")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("pearl-ai/Llama-3.3-70B-Instruct-pearl")
model = AutoModelForCausalLM.from_pretrained("pearl-ai/Llama-3.3-70B-Instruct-pearl", 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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use pearl-ai/Llama-3.3-70B-Instruct-pearl with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pearl-ai/Llama-3.3-70B-Instruct-pearl"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pearl-ai/Llama-3.3-70B-Instruct-pearl",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/pearl-ai/Llama-3.3-70B-Instruct-pearl

SGLang

How to use pearl-ai/Llama-3.3-70B-Instruct-pearl 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 "pearl-ai/Llama-3.3-70B-Instruct-pearl" \
    --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": "pearl-ai/Llama-3.3-70B-Instruct-pearl",
		"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 "pearl-ai/Llama-3.3-70B-Instruct-pearl" \
        --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": "pearl-ai/Llama-3.3-70B-Instruct-pearl",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use pearl-ai/Llama-3.3-70B-Instruct-pearl with Docker Model Runner:
```
docker model run hf.co/pearl-ai/Llama-3.3-70B-Instruct-pearl
```

Llama-3.3-70B-Instruct-pearl / README.md

Commit History

Add public-safe model card with Pearl vLLM usage

6cc401c
verified

netanell-pearl commited on Apr 27

Revise benchmark table layout and caption

3891d67
verified

Netanell Avisdris commited on Apr 27

Add model card YAML metadata

8134fbc
verified

Netanell Avisdris commited on Apr 27

Add launch benchmark table to model README

4587ff2
verified

Netanell Avisdris commited on Apr 27

Commit History

Add public-safe model card with Pearl vLLM usage 6cc401c verified

Revise benchmark table layout and caption 3891d67 verified

Add model card YAML metadata 8134fbc verified

Add launch benchmark table to model README 4587ff2 verified

Add public-safe model card with Pearl vLLM usage

6cc401c
verified

Revise benchmark table layout and caption

3891d67
verified

Add model card YAML metadata

8134fbc
verified

Add launch benchmark table to model README

4587ff2
verified