Open-Source LLMs
Whether you can download the weights decides who controls the model: you can fine-tune it, run it on your own GPUs and keep it offline — in exchange for running inference, upgrades and incident response yourself.
Whether you can download the weights decides who controls the model: you can fine-tune it, run it on your own GPUs and keep it offline — in exchange for running inference, upgrades and incident response yourself.
Holo4 is here. On September 28, 2026, Paris-based AI company H Company released Holo4, its new generation of computer-use agent models: a 27B dense ve...
Open-weight models are moving from an engineering option to a staple of corporate earnings calls. According to a Beating AI flash report on September ...
On September 27, 2026, NaiveAI released the open-weight model Naive-N0.5-Flash: a 309B-parameter mixture-of-experts (MoE) model that activates only 15...
Is Cherry Studio actually worth installing? Start with what it is: an open-source AI desktop client with around 52,000 stars on GitHub, billed as an "...
Julia 1 is a decision model released on September 26, 2026 by Supersonic Labs, a small Brazilian lab: just 144.3 million parameters, designed for text...
DeepSeek has finally put "making money" on the table. On September 24, The Information reported that DeepSeek's annualized revenue run rate has reache...
Running large language models locally with Ollama comes down to one sentence: it turns a large model from a "cloud API call" into a single command on ...
PrismML's 1-bit model took the stage on September 24, 2026: Qualcomm showed off an eye-catching demo at its Snapdragon Summit — PrismML's 1-bit Bonsai...