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First results are in. Llama 4 Maverick 17B active / 400B total is blazing fast with MLX on an M3 Ultra. Here is the 4-bit model generating 1100 tokens at 50 tok/sec:

Awni Hannun

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149,855 görüntüleme • 1 yıl önce •via X (Twitter)

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Awni Hannun profil fotoğrafı

Awni Hannun1 yıl önce

PR here:

Rainmaker profil fotoğrafı

Rainmaker2 yıl önce

Can Machine Learning beat the market? Check out this post on my free Substack where I share code and commentary for an XGBoost model and a Random Forest model that both deliver powerful performances.

Sharan Narang profil fotoğrafı

Sharan Narang1 yıl önce

That’s fast @awnihannun !

Zack Angelo profil fotoğrafı

Zack Angelo1 yıl önce

what throughput are you seeing during the prefill phase?

moskstraumen profil fotoğrafı

moskstraumen1 yıl önce

Thanks! Would it be possible to test the 8-bit quant?

Daniel Byalsky 🇺🇦🎗️ profil fotoğrafı

Daniel Byalsky 🇺🇦🎗️1 yıl önce

Whoa, think my M1 Max could pull off 5-10t/s (if it even loads into memory, lol)?

Tom Jeans profil fotoğrafı

Tom Jeans1 yıl önce

you’re getting 50 tps on a single M3 Ultra?! 🤯

Paul Marin profil fotoğrafı

Paul Marin1 yıl önce

I am very curious about q6 or q8 performance on 512gb as well as q4 with very long context. If it’s good, i will probably buy one.

SuperBadGPT profil fotoğrafı

SuperBadGPT1 yıl önce

Is this M3Ultra-512GB ?

Awni Hannun profil fotoğrafı

Awni Hannun1 yıl önce

Yes. It should fit with 256GB as well.

ROBERT D3REZZ profil fotoğrafı

ROBERT D3REZZ1 yıl önce

Looks amazing 👏

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GLM 4.6 runs quite fast on an M3 Ultra with mlx-lm even at higher precision. Pretty remarkable that it benchmarks competitive to the just-released Sonnet 4.5. Hope those benchmarks hold-up in day-to-day use. Here's a run using 5.5 bpw quantized model, generating 5.3k tokens at 17+ tok/sec using 244 GB. What prompts should I test?

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