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Ollama v0.32.4-rc0 adds Laguna MLX model support with performance optimizations

By PulseAugur Editorial · [1 sources] ·

Ollama has released version v0.32.4-rc0, introducing support for the Laguna MLX model. This update includes compatibility with Laguna XS 2, XS 2.1, and S 2.1 variants, implementing a unified quantization policy across dense and MoE layers. The release focuses on optimizing performance by selectively quantizing projections, handling mixed-precision data types, and improving the forward pass with fused operations and cached prefill chunks, all while keeping Laguna weights resident on Metal for efficient GPU access. AI

IMPACT Enhances Ollama's capability to run diverse local models, potentially improving accessibility for users with specific hardware configurations.

RANK_REASON This is a release of a software tool (Ollama) adding support for a specific model variant, not a core AI model release from a frontier lab.

Read on Ollama — Releases →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Ollama v0.32.4-rc0 adds Laguna MLX model support with performance optimizations

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0 / 100
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Tool
This is a release of a software tool (Ollama) adding support for a specific model variant, not a core AI model release from a frontier lab.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, infra
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High
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54 days old
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COVERAGE [1]

  1. Ollama — Releases TIER_1 (CA) · dhiltgen ·

    v0.32.4-rc0: model: add Laguna MLX support (#17237)

    <ul> <li>model: add Laguna MLX support</li> </ul> <p>Add Laguna XS 2, XS 2.1, and S 2.1 support to the MLX model and create paths.</p> <p>Read the source config to apply one quantization policy across dense and routed MoE layers. Keep the tied output head and router at source pre…

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