This is a quantized (5-bit) version of the LFM2-24B model in MLX format, suitable for efficient inference on Apple devices. It includes a chat template and is distributed via Hugging Face for use with MLX and related tools.
In the Foundation models & chat space, LFM2 24B A2B takes a focused approach. It focuses on running large language models efficiently on Apple silicon hardware using MLX. LFM2 24B A2B is an open-source project aimed at developers. LFM2 24B A2B is open source under the MIT license. LFM2 24B A2B is available on the web and the command line.
lmstudio-community builds and maintains LFM2 24B A2B, and it first shipped in 2023. The project is developed in the open on GitHub with 6.3k stars and 28 commits in the last 90 days. Among its 3 catalogued features are Quantized Model, MLX Support, and Chat Template.
Summary written by a language model from the project’s public pages.
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