# matt-k-wong/mlx-flash

<https://repo.masters-masters.com/en/repos/matt-k-wong/mlx-flash>

[Home](https://repo.masters-masters.com/en) › [matt-k-wong](https://repo.masters-masters.com/en/owners/matt-k-wong) › [mlx-flash](https://repo.masters-masters.com/en/repos/matt-k-wong/mlx-flash)

matt-k-wong/mlx-flash has 141 stars on GitHub. Its RepoMasters card: Prototype tier. Flash weight streaming for MLX: run massive models larger than your RAM…

| Field | Value |
| --- | --- |
| Owner | [matt-k-wong](https://repo.masters-masters.com/en/owners/matt-k-wong) |
| Stars | 141 |
| Forks | 11 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Topics | apple-silicon, llm-inference, lm-studio, macos, memory-optimization, mlx, llm, weight-streaming, machine-learning, optimization |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [matt-k-wong/mlx-flash](https://github.com/matt-k-wong/mlx-flash) |

## Repository

Flash weight streaming for MLX: run massive models larger than your RAM on Apple Silicon.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.