September 2025 monthly summary for ml-explore/mlx-lm focused on delivering advanced model architecture and quantization capabilities to accelerate deployment of state-of-the-art LLaMA variants. Key work delivered a fully integrated LLaMA 4 text model architecture in MLX with configurable attention/MLP variants, RoPE, RMSNorm, and tuning parameters, along with a new model file and updated tests. A per-parameter quantization configuration was introduced to enable flexible, fine-grained quantization strategies, enhancing deployment efficiency and model performance across diverse inference environments.

Monthly summary for 2024-12 focusing on delivering longer-context support for Qwen model within llama.cpp. Implemented 128k-token context expansion with rope-scaling controls and tensor tweaks to improve memory efficiency and throughput for long-context inference. This work enhances long-form prompt handling and expands the workload coverage of ggml-org/llama.cpp. Commit 62e84d984875372f4b0fb89a67658e012ff0cc9f (llama : add 128k yarn context for Qwen (#10698)) ensures traceability and seamless integration.

Monthly summary for 2024-11: Delivered a feature enhancement in ggml-org/llama.cpp to improve imatrix handling by automatically combining precomputed matrices when no prompt is supplied, reducing setup overhead and increasing runtime efficiency.