DeepSeek's V4 Pro open weights finally land on Hugging Face
DeepSeek finished the job it started two days ago: the flagship's open weights are out, IBM bet its consulting army on OpenAI's stack, and the AI data center boom headed for the public market.
DeepSeek has released the open weights for V4 Pro — build 0813, the production flagship it shipped this week — on Hugging Face, under an MIT license, roughly 890 GB of weights that anyone can now download and self-host. The repo appeared quietly early Thursday, briefly vanished — users hit 404 pages and a web-archive snapshot — then returned in the afternoon with updated files, matching the launch-day scramble around the model. Within hours, unsloth had posted GGUF quantizations, and the r/LocalLLaMA thread on the release had drawn hundreds of upvotes. The community's verdict on the vendor numbers is mixed: DeepSeek claims the 0813 build jumped from 72.1 to 87.9 percent on Terminal-Bench 2.1 and from 12.8 to 62.7 percent on DeepSWE versus the April preview, and coding agent Cline says it beats the preview by 15.8 percent on Terminal Bench at roughly 1/57th of Claude Fable 5's cost — but every measurement so far is DeepSeek-reported, and independent runs haven't landed yet.
The release closes the loop on a question we flagged in our coverage when V4 Pro went GA — DeepSeek ships V4 Pro, ending its flagship's four-month preview — which noted the new weights were nowhere to be found and asked whether they ever would ship. They did, and the timing is the tell: DeepSeek open-sources the flagship and its agent harness at the same moment it hikes API prices up to 4.7x — DeepSeek hikes API prices up to 4.7x with new peak-hour billing — which we covered this morning. That is the strategy in full: give builders the frontier model free, and charge the ones who want it served. For the open ecosystem, a 1.6-trillion-parameter MoE with 49 billion active parameters and a 1-million-token context window is now a local-run option, and every closed rival just lost an argument about what open models can do.
IBM announced a broad enterprise partnership with OpenAI on Thursday: a dedicated OpenAI practice inside IBM Consulting, tens of thousands of consultants to be trained and certified on OpenAI's technologies, and GPT-5.6, Codex, and ChatGPT Work integrated into IBM Consulting Advantage. The two will jointly market the offering and build industry-specific solutions for financial services, government, telecommunications, and retail, with a group of "Forward Deployed Experts" trained through OpenAI's partner network. The deal extends a June cybersecurity partnership — OpenAI models are also going into IBM Autonomous Security — and lands less than a year after IBM struck a similar alliance with Anthropic, keeping its model-agnostic play intact. For OpenAI, it is another distribution channel into the world's largest companies, following its deals with Infosys and TCS; for IBM, it is a bet that consulting is where enterprise AI actually gets sold, made more urgent by last month's lowered 2026 revenue forecast.
Vantage Data Centers — the Silver Lake- and DigitalBridge-backed builder behind OpenAI and Oracle's Stargate-linked Wisconsin campus — is exploring a sale or an IPO at a valuation of about $100 billion, potentially as soon as next year, according to Reuters. The company has had early-stage conversations and informal meetings with financial advisers, though nothing has been formally initiated and it could still decide against a transaction; a listing could raise around $10 billion, Reuters reports. Vantage has secured roughly $11 billion in capital since the end of 2023, including a $9.2 billion equity round, and it is not alone in heading for the exits: Data Center Dynamics notes Vantage, CyrusOne, and DayOne are all planning IPOs with potentially record-breaking valuations. The AI buildout's biggest private landlords are lining up to cash in, and if $100 billion is the asking price, the market's appetite for AI infrastructure is about to get a very public test.
What to watch: whether independent benchmark runs back DeepSeek's claims, and how much of Vantage's valuation survives contact with public markets.
DeepSeek's flagship is now free to run on your own hardware — does that make the API price hike moot? Tell us in the comments.
Sources: DeepSeek-V4-Pro-0813 on Hugging Face · GIGAZINE · r/LocalLLaMA discussion · unsloth GGUF (Hugging Face) · IBM newsroom · TechCrunch · HPCwire · Reuters · Quartz
