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Pipe Network PIPE: किमी K3 MLX पोर्ट रिलीज़
पाइप नेटवर्क ने 28 जुलाई को किमि K3 के लिए एक ओपन-सोर्स MLX पोर्ट जारी किया। स्ट्रीमिंग कनवर्टर और REAP प्रूनिंग से मॉडल का आकार 1.6 TB से घटकर लगभग 350 GB हो जाता है, जिससे इसे मैक स्टूडियो पर चलाना संभव हो जाता है।
ईवेंट की तिथि: 28 जुलाई 2026 UTC
Pipe Network
@pipenetwork
@pipenetwork
Run Kimi K3 on a Mac Studio 🫰
K3 is 2.8T parameters and 1.6TB on disk, which makes it impossible to run on Apple Silicon.
Until now.
Our MLX port is now open source: https://github.com/PipeNetwork/kimi-k3-mlx
To accomplish this, we solved two things:
1. We wrote a streaming converter that walks one layer at a time, so that mlx_lm doesn't need to materialize the whole model.
2. REAP pruning sits on top and scores all 896 experts against a calibration corpus to keep only ones your workload needs.
That's what brings K3 down to 350GB and inside a Mac Studio.
K3 is 2.8T parameters and 1.6TB on disk, which makes it impossible to run on Apple Silicon.
Until now.
Our MLX port is now open source: https://github.com/PipeNetwork/kimi-k3-mlx
To accomplish this, we solved two things:
1. We wrote a streaming converter that walks one layer at a time, so that mlx_lm doesn't need to materialize the whole model.
2. REAP pruning sits on top and scores all 896 experts against a calibration corpus to keep only ones your workload needs.
That's what brings K3 down to 350GB and inside a Mac Studio.
Pipe Network
@pipenetwork
@pipenetwork
Get the full recipe, converter, calibration and pruning scripts here: https://t.co/q3jf1q3GZG
Quants published on Hugging Face:
1. REAP73: https://t.co/FvuDPBAL6B
2. REAP80: https://t.co/DQx7he4jex
3. REAP73 specialized in Chinese + code: https://t.co/woJkmKhu2B
Quants published on Hugging Face:
1. REAP73: https://t.co/FvuDPBAL6B
2. REAP80: https://t.co/DQx7he4jex
3. REAP73 specialized in Chinese + code: https://t.co/woJkmKhu2B
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28 जुलाई 16:38 (UTC)
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