Instructions to use Ppoyaa/Lumina-5-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Ppoyaa/Lumina-5-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="Ppoyaa/Lumina-5-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Ppoyaa/Lumina-5-Instruct")
model = AutoModelForCausalLM.from_pretrained("Ppoyaa/Lumina-5-Instruct", 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 Ppoyaa/Lumina-5-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Ppoyaa/Lumina-5-Instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Ppoyaa/Lumina-5-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Ppoyaa/Lumina-5-Instruct

SGLang

How to use Ppoyaa/Lumina-5-Instruct 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 "Ppoyaa/Lumina-5-Instruct" \
    --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": "Ppoyaa/Lumina-5-Instruct",
		"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 "Ppoyaa/Lumina-5-Instruct" \
        --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": "Ppoyaa/Lumina-5-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Ppoyaa/Lumina-5-Instruct with Docker Model Runner:
```
docker model run hf.co/Ppoyaa/Lumina-5-Instruct
```

Ppoyaa commited on May 8, 2024

Commit

80614b1

verified ·

1 Parent(s): e515d9d

Update README.md

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@@ -16,14 +16,21 @@ Lumina-5-Instruct is a Mixture of Experts (MoE) made with [LazyMergekit](https:/
 ``` Math
 Input: 25 - 4 * 2 + 3 = ?
 ------------------------------------
-Output: Let's solve this step by step according to the order of operations (PEMDAS):
-1. Perform the multiplication inside the parentheses first: 4 * 2 = 8
-2. Now, we have 25 - 8 + 3
-3. Subtract 8 from 25: 25 - 8 = 17
-4. Finally, add 3 to the result: 17 + 3 = 20
-The answer is 20.
 ```
 ``` Reasoning

 ``` Math
 Input: 25 - 4 * 2 + 3 = ?
 ------------------------------------
+Output: To solve this equation, follow the order of operations (PEMDAS/BODMAS): Parentheses, Exponents, Multiplication and Division (from left to right), then Addition and Subtraction (also from left to right).
+The given equation is: 25 - 4 * 2 + 3
+First, perform the multiplication:
+4 * 2 = 8
+Now, update the equation:
+25 - 8 + 3
+Next, perform the subtraction and addition in order from left to right:
+25 - 8 = 17
+17 + 3 = 20
+So, the result is 20.
 ```
 ``` Reasoning