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MLX

Trial

Languages & Frameworks

An Apple-focused machine learning framework used as the runtime foundation for mlx-lm.

Why it's here

Placed in Trial: 8 article(s) of evidence from 4 source(s), led by open-source activity, with 1 in the last 30 days. Confidence 74%.

Evidence (8)

  • 4Hugging Face Blog·9/22/2026open_source
    Jun Kim joins Hugging Face to support the MLX community

    Hugging Face announced that Jun Kim, creator and maintainer of oMLX, has joined the company to help support the MLX community. The post says this will provide more stability and long-term funding for oMLX while keeping it Apache 2.0 and maintaining Jun’s leadership. Hugging Face also said it wants to help streamline bringing new Transformers model definitions to MLX implementations.

  • 7Hacker News·9/1/2026open_source
    Slotstream runs a 125B Qwen3.8 model on a 48GB Mac

    Slotstream is a new approach for running the 125B-parameter Qwen3.8-Flash-Next model in 4-bit on low-memory Macs, starting from 16GB RAM. It uses expert offloading and SSD streaming to reduce memory requirements while keeping the system mac-native through MLX and Swift, with an auto mode that balances speed and memory use.

  • 7The New Stack·8/24/2026product_launch
    JetBrains Junie adds fully offline local mode

    JetBrains has introduced Junie Local, a free version of its coding agent that runs entirely on the developer’s machine without cloud connectivity. The setup is handled inside Junie, and the release uses a locally run Qwen3.6-27B model optimized for Apple Silicon Macs with at least 64 GB of unified memory.

  • 8The New Stack·8/14/2026model_release
    Alibaba releases Qwen3.8-27B for local use

    Alibaba has released open weights for its Qwen3.8 model family, including a dense 27B version under the Apache 2.0 license. The model is positioned as competitive with Anthropic’s Opus 4.6 on several benchmarks, while remaining feasible to run on high-end laptops and Macs with sufficient unified memory.

  • 5Simon Willison·8/4/2026open_source
    MiniMax-H3 Ported to MLX for Apple Silicon

    MiniMax released MiniMax-H3, an omni-modal generative system that can take text, images, audio, and video as input and generate short video clips with audio. PipeNetwork published an MLX port of the model for Apple Silicon, and Simon Willison reports successfully running it on an M5 Max MacBook Pro, though with long generation time and garbled audio without prompt guidance.

  • 8Hugging Face Blog·8/4/2026model_release
    Hugging Face introduces LFM2.5-2.6B for on-device agents

    Hugging Face announced LFM2.5-2.6B, a 2.6B-parameter model designed to run capable agents entirely on-device with tool calling and multi-step workflows. The model is positioned for laptops and phones, emphasizing privacy, low memory use, and strong benchmark performance relative to much larger models.

  • 5Hacker News·7/28/2026model_release
    Neutrino-1 8B model released with binaries and packs

    Neutrino-1 8B has been released with weights, native binaries, a GGUF pack, and an MLX pack. Users can run it through Fermion's chat tool after installing the fermion-research package, with the first run downloading and verifying a 2.56 GB transport before caching locally.

  • 6Hugging Face Blog·4/16/2026open_source
    Hugging Face adds agent-assisted PR tooling for MLX model ports

    Hugging Face describes a Skill and test harness that help port language models from transformers to mlx-lm, with the goal of making new models available in MLX soon after they land in transformers. The post frames the tools as aids for contributors and reviewers rather than full automation, and argues that open source needs new workflows as code agents increase PR volume.