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Monico Training Data

Official training corpus for Monico Model — a ground-up uncensored LLM.

Sources

Data is collected, filtered, and deduplicated via the pipeline at jaykk99/monico-model.

Domain Sources Tokens (est.)
Offensive Security Exploit-DB, CVE NVD, GitHub sec repos ~20B
Hacking / OSINT CTF writeups, forums, research papers ~15B
Code (all langs) The Stack v2, GitHub (permissive) ~400B
Smart Contracts Etherscan verified contracts, Solidity docs ~10B
Crypto / DeFi DeFi protocol docs, audit reports, MEV research ~8B
DevOps Docker Hub docs, K8s docs, Terraform examples ~15B
App Building Full-stack tutorials, architecture patterns ~20B
Account Automation Browser automation scripts, signup research ~5B
Business Automation Lead gen, outreach, workflow scripts ~5B
General Knowledge Books, Wikipedia, arXiv, reasoning datasets ~200B

Processing

See src/data/preprocess.py in the GitHub repo for full pipeline:

  1. HTML/PDF → clean text
  2. MinHash LSH deduplication (Jaccard threshold 0.8)
  3. Quality filtering (perplexity, length, code syntax)
  4. BPE tokenization (custom 65k vocab)
  5. Context packing (8192 token windows)

GitHub Import

git clone https://github.com/jaykk99/monico-model
cd monico-model/src/data
pip install -r requirements.txt
python collect_github.py --domains security hacking crypto devops
python collect_hf_datasets.py
python preprocess.py --output data/processed/
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