zen3-nano/README.md

library_name, pipeline_tag, base_model, tags, license, language

library_name	pipeline_tag	base_model	tags	license	language
transformers	text-generation	Qwen/Qwen3-8B	text-generation conversational multilingual zen zen3 hanzo zenlm	apache-2.0	en

zen3-nano

Compact, capable language model for fast inference, part of the OSS-clean Zen model line.

Repackaged from Qwen/Qwen3-8B (apache-2.0, Alibaba Qwen). Not trained from scratch — a permissively-licensed redistribution for the OSS-clean Zen model line.

Specs

Property	Value
Parameters	8B (dense)
Architecture	Qwen3 (Qwen3ForCausalLM)
Context Length	40K tokens
Generation	Zen3

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("zenlm/zen3-nano", torch_dtype="auto")
tokenizer = AutoTokenizer.from_pretrained("zenlm/zen3-nano")

messages = [{"role": "user", "content": "Explain quantum computing in simple terms."}]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer([text], return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

API Access

Also served via the Hanzo AI API:

from openai import OpenAI

client = OpenAI(base_url="https://api.hanzo.ai/v1", api_key="YOUR_KEY")
response = client.chat.completions.create(
    model="zen3-nano",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Get your API key at console.hanzo.ai — $5 free credit on signup.

License

apache-2.0. Upstream: Qwen/Qwen3-8B by Alibaba Qwen. Upstream LICENSE/NOTICE retained in-repo.

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Zen LM is developed by Hanzo AI — Frontier AI infrastructure.