Instructions to use KORMo-Team/KORMo-10B-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use KORMo-Team/KORMo-10B-sft with Transformers:

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

pipe = pipeline("text-generation", model="KORMo-Team/KORMo-10B-sft", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("KORMo-Team/KORMo-10B-sft", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use KORMo-Team/KORMo-10B-sft with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "KORMo-Team/KORMo-10B-sft"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "KORMo-Team/KORMo-10B-sft",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/KORMo-Team/KORMo-10B-sft

SGLang

How to use KORMo-Team/KORMo-10B-sft 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 "KORMo-Team/KORMo-10B-sft" \
    --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": "KORMo-Team/KORMo-10B-sft",
		"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 "KORMo-Team/KORMo-10B-sft" \
        --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": "KORMo-Team/KORMo-10B-sft",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use KORMo-Team/KORMo-10B-sft with Docker Model Runner:
```
docker model run hf.co/KORMo-Team/KORMo-10B-sft
```

Update chat_template.jinja

by hell0ks - opened Dec 14, 2025

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

+85

-85

hell0ks

Dec 14, 2025

안녕하세요.

최근 llama.cpp에 본 모델을 지원을 추가하면서 chat_template.jinja에 공백 문자가 섞여서 들어가있다는 걸 발견했습니다.
vLLM에서는 문제가 없을 지 모르나, llama.cpp에서는 템플릿 파싱 과정에서 공백이 들어가 오작동 하는 만큼 해당 부분이 수정 필요합니다.

[AS-IS]

[TO-BE]

감사합니다.

Update chat_template.jinja6b848378

PerRing

KORMo org Dec 15, 2025

좋은정보 감사합니다!

PerRing changed pull request status to merged Dec 15, 2025

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