Instructions to use nirusanan/Qwen2.5-1.5B-NextJs-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nirusanan/Qwen2.5-1.5B-NextJs-code with Transformers:

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

pipe = pipeline("text-generation", model="nirusanan/Qwen2.5-1.5B-NextJs-code")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nirusanan/Qwen2.5-1.5B-NextJs-code")
model = AutoModelForCausalLM.from_pretrained("nirusanan/Qwen2.5-1.5B-NextJs-code")
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 nirusanan/Qwen2.5-1.5B-NextJs-code with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "nirusanan/Qwen2.5-1.5B-NextJs-code"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "nirusanan/Qwen2.5-1.5B-NextJs-code",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/nirusanan/Qwen2.5-1.5B-NextJs-code

SGLang

How to use nirusanan/Qwen2.5-1.5B-NextJs-code 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 "nirusanan/Qwen2.5-1.5B-NextJs-code" \
    --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": "nirusanan/Qwen2.5-1.5B-NextJs-code",
		"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 "nirusanan/Qwen2.5-1.5B-NextJs-code" \
        --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": "nirusanan/Qwen2.5-1.5B-NextJs-code",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use nirusanan/Qwen2.5-1.5B-NextJs-code with Docker Model Runner:
```
docker model run hf.co/nirusanan/Qwen2.5-1.5B-NextJs-code
```

Can you share more details on how you trained this for NextJS?

by asg145 - opened Jun 8, 2025

Discussion

asg145

Jun 8, 2025

Thanks for creating this and sharing!

Curious to learn more on how you trained it for NextJS, how to handle the gap in new language capabilities that is getting added to NextJS? Any idea?

Cheers!

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