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#MLX

10 related articles

Ollama Releases v0.40.12-rc1, Adds LFM3 and d1 Model Support
·1 min

Ollama Releases v0.40.12-rc1, Adds LFM3 and d1 Model Support

Ollama releases v0.40.12-rc1 candidate, adding LFM3 and d1 models to the MLX backend. We examine what this means for local inference on Apple Silicon and what developers should watch.

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v0.40.12 Pre-release: MLX Inference Speedup and Gemma Vision Detail Optimization
·3 min

v0.40.12 Pre-release: MLX Inference Speedup and Gemma Vision Detail Optimization

v0.40.12 pre-release breakdown: MLX backend boosts prompt speed for gemma/flint/laguna, improves small-image detail in Gemma 4 compact vision tower, adds DFlash2, and syncs llama.cpp to b11901.

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New MLX Release Adds Native Support fo…

·2 min

New MLX Release Adds Native Support for Flint Model, Upgrading Inference Engine Capabilities

MLX v0.40.8-rc0 adds Flint model support with three changes: prompt JSON fidelity, ModelOpt expert bank assembly during safetensors import, optional learned sinks and device-side causal masks; existing APIs unchanged.

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Ollama v0.40.7-rc1: MLX and GGML Share CUDA Runtime, Slimmer Package Size
·2 min

Ollama v0.40.7-rc1: MLX and GGML Share CUDA Runtime, Slimmer Package Size

Ollama v0.40.7-rc1 deduplicates the CUDA runtime shared by MLX and GGML, moving it into a sibling CUDA payload directory, retaining MLX private libs and JIT headers, packaging the full OpenBLAS Fortran runtime closure, and adding dependency checks at release to shrink the package and simplify dependency resolution.

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Ollama v0.40.5-rc0 Released: MLX Version Bump
·1 min

Ollama v0.40.5-rc0 Released: MLX Version Bump

Ollama releases v0.40.5-rc0 candidate, a pure MLX backend version bump (commit #18993) with no new features or API changes. Apple Silicon Mac users should watch for the official release.

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Ollama v0.40.4-rc0 Released: What the MLX Version Upgrade Means
·2 min

Ollama v0.40.4-rc0 Released: What the MLX Version Upgrade Means

Ollama releases pre-release v0.40.4-rc0, with the core change being an MLX and MLX-C version upgrade. This article analyzes the impact on Apple Silicon local inference performance and whether it's worth upgrading.

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