Tag: open source
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Cactus Needle 3: One Set of Weights, an 8-29 MB Model at Any Depth
Cactus Compute shipped Needle 3 on September 17, 2026, a single set of weights that runs as anything from a 29-million-parameter, 8 MB model to a 121-million-parameter, 29 MB one, depending on how many layers you deploy. It is not a chat model. Needle 3 does three things — tool calling, structured extraction, and text embedding — […]
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Bonsai 2 27B: Qwen3.8 in 5.9 GB at 98% of Full Precision
On September 17, 2026, PrismML released Ternary Bonsai 2 27B — a 1.76-bit-per-weight build of Alibaba’s Qwen3.8-27B that fits in 5.93 GB and, on the company’s 20-benchmark suite, keeps 98.2% of the full-precision model’s score. July’s Ternary Bonsai 27B, built on the older Qwen3.6 base, retained about 95%. The new build ships under Apache 2.0 […]
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DeepSeek V4.1-Flash: 552B Params, 890 Bytes of KV Cache Per Token
DeepSeek released V4.1-Flash on September 10, 2026, publishing the weights on Hugging Face under an MIT licence the same day the model went live in its apps. The headline is not the parameter count but the memory footprint: a 552-billion-parameter Mixture-of-Experts backbone that holds a one-million-token context in 890 bytes of KV cache per token […]
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Qwen-Drive-1.0-4B: Alibaba Open-Weights a Driving Foundation Model
Alibaba’s Qwen team released Qwen-Drive-1.0-4B on September 7, 2026 — an open-weight vision-language foundation model for autonomous driving that puts 3D perception, driving question-answering, and motion planning inside a single 5-billion-parameter system. Developed with Huazhong University of Science and Technology and published under Apache 2.0 on Hugging Face, ModelScope, and GitHub, it is the Qwen […]
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IFM Releases K2 Horizon: Six Open Models With Data, Code, and Logs
The Institute of Foundation Models (IFM), launched by Mohamed bin Zayed University of Artificial Intelligence, released K2 Horizon on September 3, 2026 — six Apache 2.0 models spanning 0.9B to 375B parameters, published alongside the training data, code, configurations, intermediate checkpoints, and training logs that produced them. The flagship 375B-A23B scores 47 on the Artificial […]
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DeepSeek Open-Sources V4-Flash-Vision-Exp Ten Days After API Launch
DeepSeek has published the weights for DeepSeek-V4-Flash-Vision-Exp, the first experimental multimodal model in its V4 family, releasing the checkpoint on Hugging Face under an MIT licence on August 31, 2026 — ten days after the same model went live on the DeepSeek API platform. The model card describes it as a system that “builds on […]
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NVIDIA Reportedly Buys Hugging Face for $12.9B — llama.cpp Included
On August 26–27, 2026, multiple outlets reported that NVIDIA has agreed to acquire Hugging Face for roughly $12.9 billion — a deal that, if it closes, would be the largest acquisition in NVIDIA’s history and would place the AI ecosystem’s default model-distribution platform under the ownership of its dominant chip vendor. Neither company has confirmed […]
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Hugging Face Opens Preorders for Microduck, a $399 Open-Source Biped
Pollen Robotics opened preorders for Microduck on August 27, 2026 — a 25 cm, 800 g open-source biped robot priced at $399. The robot is the second hardware product from the French startup Hugging Face acquired in April 2025, and the first built explicitly as a reinforcement-learning testbed: the SDK, the on-robot software, the MuJoCo […]
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GLM-5.3-Flash: 320B Multimodal MoE, Weights on Day One
On August 26, 2026, Z.ai released GLM-5.3-Flash — a 320-billion-parameter Mixture-of-Experts model that activates just 18 billion parameters per token, and the first natively multimodal model in the GLM-5 series. It is also the release that inverts the pattern set twelve days earlier: GLM-5.3 shipped on August 14 with its weights held back for a […]
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Qwen3.8-Flash-Next: Alibaba Previews the Qwen4 Architecture
Alibaba’s Qwen team has scheduled an open-weight release of Qwen3.8-Flash-Next for 23:00 on August 26, 2026 (UTC+08:00), describing it on ModelScope as “a multimodal MoE model built on the next-generation Qwen4 architecture.” The weights were not yet public at the time of writing. What has circulated instead is a specification block that appeared briefly on […]