Zen4 Sql
Parameters: 7B | Architecture: Zen 4 Architecture | Context: 32K | License: Apache 2.0 | Released: 2025-04-01
SQL generation — complex queries, schema design, optimization.
Base weights: zenlm/zen4
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("zenlm/zen4", torch_dtype="auto")
tokenizer = AutoTokenizer.from_pretrained("zenlm/zen4")
The Zen LM Family
Joint research collaboration:
- Hanzo AI (Techstars '17) — AI infrastructure, API gateway, inference optimization
- Zoo Labs Foundation (501c3) — Open AI research, ZIPs governance, decentralized training
- Lux Partners Limited — Compute coordination and settlement layer
All weights Apache 2.0. Download, run locally, fine-tune, deploy commercially.
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Model tree for zenlm/zen4-sql
Base model
zenlm/zen4
Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "zenlm/zen4-sql"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "zenlm/zen4-sql", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'