jingyaogong/minimind

Choose this fork if you want a smaller, experiment-friendly MiniMind branch with extra sample and function-calling material. Choose upstream if you want the fuller, actively maintained training stack and the newest fixes.

Choose this fork if your priority is comprehension and walkthroughs; choose upstream if you want the most current, broadly maintained training stack.

Choose this fork if your priority is the smallest practical MiniMind variant and you do not need the latest upstream fixes. Stick with upstream if you want the most current training stack, defaults, and maintenance.

Prefer upstream unless you specifically want this fork’s 26M positioning or a frozen snapshot; otherwise it is mostly a lagging copy without demonstrated functional gains.

Prefer upstream if you want the current, complete MiniMind stack. Prefer this fork only if you specifically want a smaller 26M-oriented training record and do not need the latest upstream functionality.

Prefer upstream unless you specifically need this older snapshot; this fork adds no visible features and is materially behind recent upstream work.

Adopt only if you specifically want a smaller, older MiniMind snapshot and do not need upstream’s latest fixes or features. For most users, upstream is the safer choice.

Prefer this fork only if you care about the readability-oriented `einops` refactor and want a near-upstream codebase. If you need the newest upstream fixes or the broadest feature set, upstream is the safer choice.

Choose this fork only if you specifically want the smaller 26M framing and are comfortable with a stale, near-upstream snapshot. Otherwise, upstream is the safer choice because it is more current and materially richer in maintained features.