This is a quantized (6-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.
LFM2 24B A2B is a Foundation models & chat product. It focuses on running large language models efficiently on Apple silicon hardware using MLX. It is built as an open-source project for developers. LFM2 24B A2B is open source under the MIT license. The product ships for the web and the command line.
It is developed by lmstudio-community, and the product first shipped in 2023. Development happens publicly on GitHub with 6.3k stars and 28 commits in the last 90 days. Key capabilities include Quantized Model, MLX Support, and Chat Template.
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