Instructions to use Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B with Transformers:

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

pipe = pipeline("text-generation", model="Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B")
model = AutoModelForCausalLM.from_pretrained("Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B")
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 Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B

SGLang

How to use Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B 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 "Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B" \
    --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": "Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B",
		"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 "Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B" \
        --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": "Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B with Docker Model Runner:
```
docker model run hf.co/Jasaxion/MathSmith-HC-Problem-Synthesizer-Qwen3-8B
```

Add metadata and project page link

by nielsr HF Staff - opened Mar 10

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+18

-18

nielsr

Mar 10

Hi! I'm Niels from the community science team at Hugging Face.

This pull request improves the model card by:

Adding the pipeline_tag: text-generation and library_name: transformers to the YAML metadata. This helps users find your model and enables automated code snippets and categorization on the Hub.
Adding a link to the official project page found in your repository.
Organizing the content for better readability.

Add metadata and project page link8cf3cf78

Jasaxion

Owner Mar 11

Thank you for your support! I’ve completed the pull request.

Jasaxion changed pull request status to merged Mar 11

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