Instructions to use vngrs/Kumru-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use vngrs/Kumru-2B with Transformers:

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

pipe = pipeline("text-generation", model="vngrs/Kumru-2B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("vngrs/Kumru-2B")
model = AutoModelForCausalLM.from_pretrained("vngrs/Kumru-2B", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use vngrs/Kumru-2B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "vngrs/Kumru-2B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "vngrs/Kumru-2B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/vngrs/Kumru-2B

SGLang

How to use vngrs/Kumru-2B 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 "vngrs/Kumru-2B" \
    --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": "vngrs/Kumru-2B",
		"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 "vngrs/Kumru-2B" \
        --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": "vngrs/Kumru-2B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use vngrs/Kumru-2B with Docker Model Runner:
```
docker model run hf.co/vngrs/Kumru-2B
```

7b versiyon ?

by Tugay31 - opened Oct 11, 2025

Discussion

Tugay31

Oct 11, 2025

7b versiyon da yayınlanacak mı ?

erdiari

Oct 12, 2025

Daha büyük ve multimodal versiyonlar üzerine çalışıyoruz. Onlar çıktığında bu modeli paylaşmayı planlıyoruz.

erdiari changed discussion status to closed Oct 12, 2025

erenay98

Oct 12, 2025

Multimodal versiyon için image kısmını siglip gibi encoderı finetune ederek mi yapacaksınız yoksa sıfırdan mı olacak ? Visual Resolution Router gibi özellikler olacak mı

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