Instructions to use sequelbox/Qwen3-8B-Esper3-PREVIEW with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sequelbox/Qwen3-8B-Esper3-PREVIEW with Transformers:

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

pipe = pipeline("text-generation", model="sequelbox/Qwen3-8B-Esper3-PREVIEW")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("sequelbox/Qwen3-8B-Esper3-PREVIEW")
model = AutoModelForCausalLM.from_pretrained("sequelbox/Qwen3-8B-Esper3-PREVIEW")
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 sequelbox/Qwen3-8B-Esper3-PREVIEW with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "sequelbox/Qwen3-8B-Esper3-PREVIEW"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "sequelbox/Qwen3-8B-Esper3-PREVIEW",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/sequelbox/Qwen3-8B-Esper3-PREVIEW

SGLang

How to use sequelbox/Qwen3-8B-Esper3-PREVIEW 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 "sequelbox/Qwen3-8B-Esper3-PREVIEW" \
    --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": "sequelbox/Qwen3-8B-Esper3-PREVIEW",
		"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 "sequelbox/Qwen3-8B-Esper3-PREVIEW" \
        --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": "sequelbox/Qwen3-8B-Esper3-PREVIEW",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use sequelbox/Qwen3-8B-Esper3-PREVIEW with Docker Model Runner:
```
docker model run hf.co/sequelbox/Qwen3-8B-Esper3-PREVIEW
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Click here to support our open-source dataset and model releases!

This is an early alpha preview of the upcoming Esper 3 series for Qwen 3 - use at your own discretion! The full model is now available, click here!

Esper 3 is a reasoning-chat finetune focused on coding, architecture, DevOps, and general reasoning chat.

All training data generated synthetically by Deepseek-R1 685b model. This sneak preview uses training data from our Titanium, Tachibana, and Raiden series of datasets. Final datasets used will be provided along the full release of Esper 3 - this preview release is only trained on a subselection of the data for early testing. Full model release coming soon!

See the Qwen 3 8b page for sample prompting scripts or further information on the base model. Esper 3 is a reasoning finetune: enable_thinking=True is recommended for all chats.

Try the preview release out, see what you think, tell your friends :)

Please consider supporting our releases if you can. There's still time for a bottom-up AI revolution: the time to make a difference in how this turns out is now!

More Qwen 3 releases to come soon!

Do as you will.