Instructions to use Nanthasit/sakthai-plus-1.5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Nanthasit/sakthai-plus-1.5b with Transformers:

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

pipe = pipeline("text-generation", model="Nanthasit/sakthai-plus-1.5b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Nanthasit/sakthai-plus-1.5b")
model = AutoModelForCausalLM.from_pretrained("Nanthasit/sakthai-plus-1.5b", 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 Nanthasit/sakthai-plus-1.5b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Nanthasit/sakthai-plus-1.5b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Nanthasit/sakthai-plus-1.5b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Nanthasit/sakthai-plus-1.5b

SGLang

How to use Nanthasit/sakthai-plus-1.5b 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 "Nanthasit/sakthai-plus-1.5b" \
    --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": "Nanthasit/sakthai-plus-1.5b",
		"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 "Nanthasit/sakthai-plus-1.5b" \
        --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": "Nanthasit/sakthai-plus-1.5b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Nanthasit/sakthai-plus-1.5b with Docker Model Runner:
```
docker model run hf.co/Nanthasit/sakthai-plus-1.5b
```

sakthai-plus-1.5b

Commit History

docs: add Model Description, How to Use, Benchmarks, Limitations, Citation

f45acfc
verified

Nanthasit commited on 6 minutes ago

docs: improve model card with concise usage, verified benchmarks, metadata summary

72181e2
verified

Nanthasit commited on 18 minutes ago

fix: update combined dataset link to v11 and close bibtex howpublished

0d911fe
verified

Nanthasit commited on 33 minutes ago

eval: add metadata eval result 20260801T061747Z

eb96559
verified

Nanthasit commited on about 2 hours ago

fix: remove phantom combined-v10 references

95450c0

SakThai Agent commited on about 5 hours ago

cron: metadata eval result update 20260801T0217Z

74c5abc
verified

Nanthasit commited on about 5 hours ago

fix: SimpleToolCalling dataset row ~500 -> 2,002

c311c66
verified

Nanthasit commited on about 9 hours ago

docs: refresh plus-1.5b card with live badges, family count, and accurate SimpleToolCalling rows

9e35038
verified

Nanthasit commited on about 9 hours ago

Add eval result: metadata cron snapshot

41eaddc
verified

Nanthasit commited on about 11 hours ago

Upload README.md with huggingface_hub

bc3ae92
verified

Nanthasit commited on about 14 hours ago

docs: overhaul README with real benchmarks, usage examples, model-index, and citation

bd42766
verified

Nanthasit commited on about 20 hours ago

Fix broken collection link: corrupted slug -> correct slug (sakthai-model-family)

61952fc
verified

Nanthasit commited on about 21 hours ago

Amend cron eval snapshot: fix repo_summary to post-upload bytes

e6c5b33
verified

Nanthasit commited on about 21 hours ago

cron eval-updater: re-eval sakthai-plus-1.5b (run 27)

b522259
verified

Nanthasit commited on about 21 hours ago

Add model card with family cross-links, usage guide, and metadata

18f2572
verified

Nanthasit commited on about 21 hours ago

Card improvement: updated family table with live download counts, added widget example_titles, increased max_new_tokens to 256, added related datasets section

ea39129
verified

Nanthasit commited on about 21 hours ago