Instructions to use sagea-ai/sage-reasoning-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sagea-ai/sage-reasoning-8b with Transformers:

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

pipe = pipeline("text-generation", model="sagea-ai/sage-reasoning-8b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("sagea-ai/sage-reasoning-8b")
model = AutoModelForCausalLM.from_pretrained("sagea-ai/sage-reasoning-8b")
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 sagea-ai/sage-reasoning-8b with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/sagea-ai/sage-reasoning-8b

SGLang

How to use sagea-ai/sage-reasoning-8b 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 "sagea-ai/sage-reasoning-8b" \
    --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": "sagea-ai/sage-reasoning-8b",
		"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 "sagea-ai/sage-reasoning-8b" \
        --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": "sagea-ai/sage-reasoning-8b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use sagea-ai/sage-reasoning-8b with Docker Model Runner:
```
docker model run hf.co/sagea-ai/sage-reasoning-8b
```

comethrusws commited on Sep 23, 2025

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@@ -128,7 +128,7 @@ print(outputs[0]["generated_text"][-1])
   - Add a specific system prompt, or
   - Set `enable_thinking=True` while applying the chat template.
-> **_NOTE:_**  For the SAGE reasoning 3b model, we suggest using `repetition_penalty=1.1` while implementing extended thinking.
 ### Method 1 - Add a specific system prompt.
 To enable thinking, simply use this in the system prompt `system_instruction = 'Enable deep thinking subroutine.'`
@@ -310,7 +310,7 @@ For inquiries, collaborations, or support, please reach out to us:
 ---
 <p>
-    <strong>SAGE Reasoning 3B</strong><br>
     <em>Advancing the frontier of hybrid reasoning models</em>
 </p>

   - Add a specific system prompt, or
   - Set `enable_thinking=True` while applying the chat template.
+> **_NOTE:_**  For the SAGE reasoning 8b model, we suggest using `repetition_penalty=1.1` while implementing extended thinking.
 ### Method 1 - Add a specific system prompt.
 To enable thinking, simply use this in the system prompt `system_instruction = 'Enable deep thinking subroutine.'`
 ---
 <p>
+    <strong>SAGE Reasoning 8B</strong><br>
     <em>Advancing the frontier of hybrid reasoning models</em>
 </p>