Instructions to use ThaiLLM/ThaiLLM-8B-MedApp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ThaiLLM/ThaiLLM-8B-MedApp with Transformers:

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

pipe = pipeline("text-generation", model="ThaiLLM/ThaiLLM-8B-MedApp")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ThaiLLM/ThaiLLM-8B-MedApp")
model = AutoModelForCausalLM.from_pretrained("ThaiLLM/ThaiLLM-8B-MedApp", 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 ThaiLLM/ThaiLLM-8B-MedApp with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/ThaiLLM/ThaiLLM-8B-MedApp

SGLang

How to use ThaiLLM/ThaiLLM-8B-MedApp 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 "ThaiLLM/ThaiLLM-8B-MedApp" \
    --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": "ThaiLLM/ThaiLLM-8B-MedApp",
		"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 "ThaiLLM/ThaiLLM-8B-MedApp" \
        --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": "ThaiLLM/ThaiLLM-8B-MedApp",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ThaiLLM/ThaiLLM-8B-MedApp with Docker Model Runner:
```
docker model run hf.co/ThaiLLM/ThaiLLM-8B-MedApp
```

Release ThaiLLM-8B-MedApp v2.0.0

by cankruscan - opened 10 days ago

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+152537

-38

cankruscan

ThaiLLM org 10 days ago

Stages the reviewed 70% MedApp v1 / 30% ToolUse full-weight merge. Do not merge until a Write/Admin member has pinned the locked v1 commit with both compatibility tags and the file manifest, downloaded PR snapshot, vLLM smoke test, model card, license status, quantization notice, and evaluation evidence are reviewed.

Add files using upload-large-folder tool7042790a

Remove superseded v1 model artifacts from the v2 PRb4a6b2ca

Add files using upload-large-folder tool7b58a96a

cankruscan

ThaiLLM org 7 days ago

Release evidence reviewed; publish the verified v2.0.0 PR for final approval.

cankruscan changed pull request status to open 7 days ago

cankruscan

ThaiLLM org 7 days ago

Verified release of ThaiLLM-8B-MedApp v2.0.0.

cankruscan changed pull request status to merged 7 days ago

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment