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Infra2026-09-23 · source-backed
PR #29257 moved the Kimi-K3 mxfp4 expert repack into base.py so DeepSeek-V4, Kimi-K3 and MiMo share it. Both models load with vision and needed no runtime changes; the mmproj audio decoder is excluded. Separately, --host now takes a comma-separated list of addresses and Unix sockets, so you can serve localhost and a Tailscale address at once without a reverse proxy, and llama-server's router stopped evicting models mid-load and proxying requests into dying child processes.
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DeepSeek posted a community notice: once V4.1 Flash launches around September 10 Beijing time, and until a V4.1 Pro exists, every V4 Pro request routes to V4.1 Flash and bills at Flash unit pricing. The stated reason is that Flash has surpassed Pro on performance, cost, speed...
DeepSeek-V4-Flash-0731 landed July 31 under MIT with a DSpark speculative-decoding module attached. Terminal Bench 2.1: 82.7. Toolathlon-Verified: 70.3. DSBench-FullStack: 68.7. DeepSWE: 54.4. NL2Repo: 54.2. The model card claims it beats DeepSeek-V4-Pro (Preview) "despite its...
The API changelog carries it verbatim: "In response to user demand, we have decided to continue providing API services for DeepSeek V4 Pro after September 14, 2026, with the billing method remaining unchanged." Every deepseek-v4-pro request was scheduled to be answered by V4.1...
Hugging Face published its Summer 2026 State of Open Models report on August 14, and one statistic in it went almost entirely unremarked in the coverage. By July 2026, agents rather than humans became the Hub's primary users. Claude Code alone accounted for 44.4% of all agent...
The leaderboard says first place. The methodology says you should check your own bill. Qwen3.8 Max now ranks first on Artificial Analysis' agentic index, scoring 86.1 on OSWorld-Verified ahead of GPT-5.6 Sol Max at 83.2 and Fable 5 at 85.0, priced at $2.00/M input and $6.00/M...
The file is 1.56TB. That's the first thing you notice about the moonshotai/Kimi-K3 Hugging Face repo that went live today. 2.8 trillion total parameters, 104B activated, 896 routed experts with 16 selected plus 2 shared per token, 93 layers split 69 Kimi Delta Attention and 24...
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