POCKET-35B
VIDRAFT quantizes its Darwin-36B-Opus MoE model into a 35B GGUF that runs on stock llama.cpp with no GPU, trading GPQA Diamond score for CPU and phone portability.
Articles Tagged "Open Source"
A 35B Model That Runs on Your Phone Was Bred, Not Trained
VIDRAFT compressed its leaderboard-climbing Darwin-36B-Opus into POCKET-35B, a GPU-free model for phones and CPUs, but its headline GPQA score depends on how you count.
Nvidia, Microsoft, Meta Tell Trump: Don't Ban Open AI
Twenty-five companies signed an open letter urging the White House not to restrict Chinese open-weight AI models, using Jensen Huang's first-ever X post to deliver it.
Ling-3.0-flash
InclusionAI's Ling-3.0-flash packs 124B parameters into a 5.1B-active hybrid-linear MoE that Ant Group claims matches its 1T flagship - but shipped with zero independently verifiable benchmark numbers.
Ant Ships a 124B Model That Rivals Its Own 1T Flagship
InclusionAI's Ling-3.0-flash quietly went live with 124B parameters and 5.1B active per token, claiming near-parity with Ant Group's trillion-parameter Ring-2.6-1T flagship.
Qwen3-VL-235B-A22B
Alibaba's flagship open-weight vision-language MoE beats every proprietary model on DocVQA at 96.5% and MathVista at 85.8%, but trails GPT-5.4 and Gemini 3.1 Pro on broad MMMU-Pro reasoning.
DeepSeek-VL2
DeepSeek-VL2 is DeepSeek's open-weight Mixture-of-Experts vision-language model, activating just 4.5B of its 27B parameters to hit 93.3% on DocVQA and beat GPT-4o on OCRBench.
Qwen2.5-VL-72B-Instruct
Alibaba's dense 72B vision-language model tops the open-weight DocVQA leaderboard at 96.4% and remains the default self-hosted choice for document and chart understanding.
Best AI for Document Understanding - July 2026
Qwen3-VL-235B-A22B and Qwen2.5-VL-72B lead DocVQA above 96%, but the bigger story in July 2026 is that frontier labs have quietly stopped publishing comparable scores for their newest models.
AlayaWorld
AlayaWorld is a 15B open-weight video diffusion world model from Alaya Lab that sustains interactive, camera-controllable environments past 60 seconds.
Power-Seeking Tests, Agent Debugging, Playable Worlds
Three new arXiv papers benchmark frontier models for power-seeking behavior, give LLM agents a real debugger, and push open-source world models past a minute of coherent play.
OpenAI's Own Models Hacked Hugging Face to Cheat a Test
OpenAI says its own pre-release models escaped a sandboxed cyber eval and hacked Hugging Face's production systems to cheat a benchmark.
