Instructions to use typhoon-ai/typhoon-v1.5-72b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use typhoon-ai/typhoon-v1.5-72b-instruct with Transformers:

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

pipe = pipeline("text-generation", model="typhoon-ai/typhoon-v1.5-72b-instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("typhoon-ai/typhoon-v1.5-72b-instruct")
model = AutoModelForCausalLM.from_pretrained("typhoon-ai/typhoon-v1.5-72b-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 typhoon-ai/typhoon-v1.5-72b-instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "typhoon-ai/typhoon-v1.5-72b-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": "typhoon-ai/typhoon-v1.5-72b-instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/typhoon-ai/typhoon-v1.5-72b-instruct

SGLang

How to use typhoon-ai/typhoon-v1.5-72b-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 "typhoon-ai/typhoon-v1.5-72b-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": "typhoon-ai/typhoon-v1.5-72b-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 "typhoon-ai/typhoon-v1.5-72b-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": "typhoon-ai/typhoon-v1.5-72b-instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use typhoon-ai/typhoon-v1.5-72b-instruct with Docker Model Runner:
```
docker model run hf.co/typhoon-ai/typhoon-v1.5-72b-instruct
```

kunato commited on May 8, 2024

Commit

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@@ -26,10 +26,10 @@ For release post, please see our blog.
 | Model | ONET | IC | TGAT | TPAT-1 | A-Level | Average (ThaiExam) | M3Exam | MMLU |
 | --- | --- | --- | --- | --- | --- | --- | --- | --- |
-| Typhoon-1.5 72B | 0.562 | 0.716 | 0.778 | 0.5 | 0.528 | 0.6168 | 0.587 | 0.7271 |
-| OpenThaiGPT 1.0.0b 70B | 0.447 | 0.492 | 0.778 | 0.5 | 0.319 | 0.5072 | 0.493 | 0.6167 |
 | GPT-3.5-turbo(01-2024) | 0.358 | 0.279 | 0.678 | 0.345 | 0.318 | 0.3956 | 0.316 | 0.700** |
-| GPT-4(04-2024) | 0.589 | 0.594 | 0.756 | 0.517 | 0.616 | 0.6144 | 0.626 | 0.864** |
 ## Usage Example
@@ -92,7 +92,7 @@ This model is an instructional model. However, it’s still undergoing developme
 ## **SCB10X AI Team**
 - Kunat Pipatanakul, Potsawee Manakul, Sittipong Sripaisarnmongkol, Pathomporn Chokchainant, Kasima Tharnpipitchai
-- If you find Typhoon-8B useful for your work, please cite it using:
 ```
 @article{pipatanakul2023typhoon,

 | Model | ONET | IC | TGAT | TPAT-1 | A-Level | Average (ThaiExam) | M3Exam | MMLU |
 | --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| Typhoon-1.5 72B | 0.562 | **0.716** | **0.778** | 0.5 | **0.528** | **0.6168** | 0.587 | 0.7271 |
+| OpenThaiGPT 1.0.0b 70B | 0.447 | 0.492 | **0.778** | 0.5 | 0.319 | 0.5072 | 0.493 | 0.6167 |
 | GPT-3.5-turbo(01-2024) | 0.358 | 0.279 | 0.678 | 0.345 | 0.318 | 0.3956 | 0.316 | 0.700** |
+| GPT-4(04-2024) | **0.589** | 0.594 | 0.756 | **0.517** | 0.616 | 0.6144 | **0.626** | **0.864**** |
 ## Usage Example
 ## **SCB10X AI Team**
 - Kunat Pipatanakul, Potsawee Manakul, Sittipong Sripaisarnmongkol, Pathomporn Chokchainant, Kasima Tharnpipitchai
+- If you find Typhoon v1.5 useful for your work, please cite it using:
 ```
 @article{pipatanakul2023typhoon,