par lmstudio-community
Open source · 442k downloads · 3 likes
Le modèle LFM2 24B A2B MLX 4bit est une version optimisée et quantifiée à 4 bits du modèle LFM2-24B-A2B, spécialement conçue pour fonctionner efficacement sur les puces Apple Silicon grâce à la technologie MLX. Il excelle dans les tâches de génération de texte et de compréhension avancée, offrant des performances élevées tout en réduisant l'empreinte mémoire et les besoins en calcul. Ses cas d'usage principaux incluent la rédaction assistée, l'analyse de données textuelles, la création de contenu créatif ou technique, ainsi que des applications nécessitant une grande précision linguistique. Ce qui le distingue, c'est son équilibre entre puissance et accessibilité, permettant une utilisation fluide sur des appareils grand public sans sacrifier la qualité des résultats.
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Model creator: LiquidAI
Original model: LFM2-24B-A2B
MLX quantization: provided by LM Studio team using mlx_lm
4-bit quantized version of LFM2-24B-A2B using MLX, optimized for Apple Silicon.
🙏 Special thanks to the Apple Machine Learning Research team for creating MLX.
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