Instructions to use NovaSky-AI/Sky-T1-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NovaSky-AI/Sky-T1-mini with Transformers:

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

pipe = pipeline("text-generation", model="NovaSky-AI/Sky-T1-mini")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NovaSky-AI/Sky-T1-mini")
model = AutoModelForCausalLM.from_pretrained("NovaSky-AI/Sky-T1-mini")
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

vLLM

How to use NovaSky-AI/Sky-T1-mini with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NovaSky-AI/Sky-T1-mini"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NovaSky-AI/Sky-T1-mini",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/NovaSky-AI/Sky-T1-mini

SGLang

How to use NovaSky-AI/Sky-T1-mini 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 "NovaSky-AI/Sky-T1-mini" \
    --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": "NovaSky-AI/Sky-T1-mini",
		"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 "NovaSky-AI/Sky-T1-mini" \
        --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": "NovaSky-AI/Sky-T1-mini",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use NovaSky-AI/Sky-T1-mini with Docker Model Runner:
```
docker model run hf.co/NovaSky-AI/Sky-T1-mini
```

eva98 commited on Feb 14, 2025

Commit

f42ed3f

verified ·

1 Parent(s): a4eaae8

Upload Qwen2ForCausalLM

Browse files

Files changed (2) hide show

config.json +2 -2
generation_config.json +1 -1

config.json CHANGED Viewed

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/models/0-1-rm0-r1-distill-7B-16k-n4-numina-hard-no-sys-29",
   "architectures": [
     "Qwen2ForCausalLM"
   ],
@@ -23,7 +23,7 @@
   "sliding_window": null,
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.46.1",
   "use_cache": true,
   "use_mrope": false,
   "use_sliding_window": false,

 {
+  "_name_or_path": "/ckpt/Sky-T1-7B-mini/0-1-rm0-r1-distill-7B-16k-n4-numina-hard-2/actor/global_step_29",
   "architectures": [
     "Qwen2ForCausalLM"
   ],
   "sliding_window": null,
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
+  "transformers_version": "4.48.1",
   "use_cache": true,
   "use_mrope": false,
   "use_sliding_window": false,

generation_config.json CHANGED Viewed

@@ -5,5 +5,5 @@
   "eos_token_id": 151643,
   "temperature": 0.6,
   "top_p": 0.95,
-  "transformers_version": "4.46.1"
 }

   "eos_token_id": 151643,
   "temperature": 0.6,
   "top_p": 0.95,
+  "transformers_version": "4.48.1"
 }