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zenlm
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Model Details
Model Provider
zenlm
Model Tree
Qwen/Qwen3-8B
Input Modalities
Output Modalities
Supported Functionality
| Property | Value |
|---|---|
| Parameters | 8B (dense) |
| Architecture | Qwen3 (Qwen3ForCausalLM) |
| Context Length | 40K tokens |
| Generation | Zen3 |
python
from transformers import AutoModelForCausalLM, AutoTokenizermodel = 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))
Also served via the Hanzo AI API:
python
from openai import OpenAIclient = 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.
apache-2.0. Upstream: Qwen/Qwen3-8B by Alibaba Qwen. Upstream LICENSE/NOTICE retained in-repo.
Zen LM is developed by Hanzo AI — Frontier AI infrastructure.