Black Forest Labs has launched FLUX 3 Image Klein, a 5.6-billion-parameter open weights model for text-to-image generation, image editing and multi-reference generation using up to 10 reference images. The release includes a base model, a step-distilled low-latency version, and FP8, INT8 and NVFP4 builds made with NVIDIA, all under the FLUX Kommunity License. The company says internal evaluations place it ahead of larger open models and some closed models like Ideogram V4.5 and FLUX.2 [pro] despite having fewer parameters.
bfl.ai
· 2026-10-16
Meta released Muse Spark Open, an open-weights AI model with 42 billion active parameters and a one-million-token context window, built with help from Apple's hardware team to optimize it for the M5 Mac Studio Ultra. The model's weights are now publicly available on HuggingFace under Meta's Muse Model license, though running it on Apple hardware requires two $5,499 M5 Mac Studio Ultras.
cnet.com
· 2026-10-16
A new service called OneDeploy lets users deploy open-source applications on dedicated virtual servers that come with a web address, TLS certificate, admin account, and scheduled backups. Billing is hourly against a prepaid credit balance with a monthly price cap, and users can add custom domains, resize or migrate servers between regions or clouds, and restore encrypted off-site backups for about two weeks after funds run out. Pricing is per-server rather than per-user, and only open-source editions of apps are installed, with paid editions sold separately by their makers.
onedeploy.co
· 2026-10-16
Meta launched an open-weight version of its Muse Spark LLM called Muse Spark Open, allowing users to download and run the model on their own hardware rather than access it only via cloud service. The model has 816 billion parameters and a 1-million-token context window, which Meta says makes it the most capable open-weight model available in the U.S. Apple collaborated with Meta to ensure the model runs efficiently on Mac Studio hardware.
fastcompany.com
· 2026-10-16
Apple released a new version of its MLX framework that can run the frontier-class Muse Spark Open model, which has nearly a trillion parameters, locally on Mac Studio hardware. Apple reports that a cluster of four Mac Studios with M5 Ultra chips achieves over 36 tokens per second using tensor parallelization, and that single machines with up to 512GB of unified memory can also run the model, scaling to multiple units via an RDMA over Thunderbolt driver.
machinelearning.apple.com
· 2026-10-16
Meta launched Muse Spark Open, which it describes as the most capable open-weight AI model in the US, featuring 816 billion parameters and a 1 million token context window. The model is multimodal, built for coding and agentic tasks, and designed to run locally on Apple hardware, though it requires at least 1 terabyte of RAM and performs best on a Mac Studio with an M5 Ultra chip. Meta paired it with its Muse Code coding terminal and demonstrated it fixing a Mastodon client and editing footage in DaVinci Resolve.
techcrunch.com
· 2026-10-15
Meta released Muse Spark Open, an open-weight model with 816 billion total parameters, 42 billion active parameters, and a 1 million-token context window, designed for coding and multi-step agentic tasks. The model is optimized to run locally across two Mac Studios equipped with 512GB M5 Ultra chips using Apple's MLX framework, which Meta calls the best desktop setup for running a powerful model. Apple has not yet released the 512GB Mac Studio, though it is expected later this month.
apple.slashdot.org
· 2026-10-15
Apple and Meta announced a collaboration allowing developers to run Meta's new 816-billion-parameter open-weight model, Muse Spark Open, locally on Mac Studio computers. Users can pair two to four Mac Studios to run the model for tasks like coding and video analysis without relying on cloud servers. Executives Mark Zuckerberg and John Ternus publicly confirmed the project on social media after months of joint work.
cnbc.com
· 2026-10-15
A new open-weight AI model, Muse Spark Open, has been released and optimized to run on Mac Studio machines with Apple's M5 Ultra chip, reportedly allowing two linked Macs to function like a single machine with a terabyte of unified memory. The release also includes custom Helion GPU kernels in SGLang that the developers say speed up performance on NVIDIA and AMD hardware, and the model underwent additional safety post-training evaluated against an internal scaling framework before release.
research.meta.ai
· 2026-10-15
Meta has open-sourced Muse Spark Open, an 800-billion-parameter model it calls the most capable US open-weight model yet. Running it locally requires roughly 1TB of unified memory, achievable by pairing two of Apple's upcoming M5 Ultra Mac Studios with 512GB each, or four 256GB units costing about $38,000. The weights are now downloadable from Hugging Face, and Meta says the model was built in collaboration with Apple to run on its new hardware.
engadget.com
· 2026-10-15
Meta and Apple have struck a partnership allowing developers to run Meta's open-weight AI models locally on Mac hardware. The collaboration gives developers an alternative to relying on cloud-based computing power for running advanced AI systems.
wsj.com
· 2026-10-15
Meta launched Muse Spark Open, a multimodal model with 816 billion total parameters (42 billion active) and a 1 million-token context window, designed for coding and agentic tasks. The model is optimized using Apple's MLX framework to run on Mac Studio with M5 Ultra chips, with Meta demonstrating two linked Mac Studios handling the full model via unified memory. Weights are now available through Hugging Face.
9to5mac.com
· 2026-10-15
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