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apple-aiml-research
ml-ane-transformers
Python2022–2025
apple-aiml-research / ml-ane-transformers

ml-ane-transformers

Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)

5Distinct people
6Mentions
0Explicit recommenders
2.8KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year6 dated mentions

Observed mentions: 2022-06-08 12:13:21 UTC to 2025-10-15 14:55:20 UTC.

01232022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC110
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC312
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC202

What Hacker News says

6 sources
I wonder if Apple ever followed up with this: https://github.com/apple/ml-ane-transformers They claim their ANE-optimized models achieve "up to 10 times faster and 14 times lower peak memory consumption compared to baseline implementations." AFAIK, neither MLX nor llama.cpp support ANE. Though llama.cpp started exploring this idea [0]. What's weird is that MLX is made by Apple and yet, they can't support ANE given its closed-source API! [1] [0]: https://github.com/ggml-org/llama.cpp/issues/10453 [1]: https://github.com/ml-explore/mlx/issues/18#issuecomment-184...
In Run LLMs on Apple Neural Engine (ANE)

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