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ThousandML
Fine-tune smarter with a high-quality 4-bit quantized base
Fine-tune powerful open-source LLMs without the cost of full-precision training. ThousandML Training Factory combines QLoRA with our proprietary Coded Quantization (CQ), a calibration-free 4-bit quantization method designed to preserve model quality. Unlike traditional fine-tuning workflows, it starts with a high-quality compressed base model, reducing GPU memory requirements while maintaining a strong foundation for customization. Fine-tune and serve models with an open-source toolkit.
Hey Product Hunt! 👋
We're excited to launch **ThousandML Training Factory**! 🚀
Our goal at ThousandML is simple: **make fine-tuning powerful open models more accessible and affordable without sacrificing the quality of the starting model.**
Most fine-tuning workflows rely on full-precision or higher-precision base models, which can be expensive in terms of GPU memory and compute.
We believe **efficient fine-tuning starts with high-quality quantization.**
That's why we built Training Factory around our own **Coded Quantization (CQ)** technology — a calibration-free 4-bit quantization method designed to preserve model quality while significantly reducing memory requirements.
Combined with QLoRA, Training Factory lets you:
✅ Fine-tune high-quality 4-bit quantized models with lightweight LoRA adapters.
✅ Reduce GPU memory requirements compared to full-precision fine-tuning.
✅ Fine-tune models like Llama 3.1 8B, Llama 3.3 70B, and Qwen using your own datasets.
✅ Serve your fine-tuned adapters with vLLM.
✅ Explore and customize the workflow with our open-source toolkit.
🔗 GitHub: https://github.com/thousandml/tr...
We're still early, and community feedback is incredibly valuable to us.
**We'd especially love to hear from you:**
💬 What's your biggest challenge when fine-tuning open LLMs today — GPU costs, model quality, or tooling complexity?
And if you give Training Factory a try, we'd love to hear how it works for you, including any issues or features you'd like us to prioritize.
Thanks for checking out our launch! 🙌
No comment highlights available yet. Please check back later!
About ThousandML on Product Hunt
“Fine-tune smarter with a high-quality 4-bit quantized base”
ThousandML was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #375 on the daily leaderboard. Fine-tune powerful open-source LLMs without the cost of full-precision training. ThousandML Training Factory combines QLoRA with our proprietary Coded Quantization (CQ), a calibration-free 4-bit quantization method designed to preserve model quality. Unlike traditional fine-tuning workflows, it starts with a high-quality compressed base model, reducing GPU memory requirements while maintaining a strong foundation for customization. Fine-tune and serve models with an open-source toolkit.
ThousandML was featured in Open Source (69k followers), Developer Tools (521.6k followers), Artificial Intelligence (481.7k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 269.9k products, making this a competitive space to launch in.
Who hunted ThousandML?
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ThousandML