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vforno

413karma·78submissions·May 18, 2026
recent activity (78 total)
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if you like, colibrì always needs to improve so if you have ideas or anything else you are welcome for pull request issues and also benchmarks!
1mo ago·view thread
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It’s a good question. In theory MPI could distribute experts across nodes. In practice, for small clusters the added network latency usually hurts more than it helps. Better suited for big clusters w…
1mo ago·view thread
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Really thanks!
1mo ago·view thread
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No because I have only 32gb of ram too low
1mo ago·view thread
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Maybe we can see some integration!
1mo ago·view thread
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Really thanks!!
1mo ago·view thread
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In the readme you can see benchmark which everyone with different hardware is running Colibrì, and I have to say I've seen great times! I'm always doing more to improve!
1mo ago·view thread
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I'd love to! Right now I only have a very consumer-grade computer that I've had fun with! We'll see!
1mo ago·view thread
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What causes problems is the rewriting in this case are only read while writing is the cache! However, I'm working to improve more and more and make some parts lighter!
1mo ago·view thread
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Antirez is the number one!thanks really thanks!
1mo ago·view thread
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Thank you so much, it's true! It all started with this spirit!
1mo ago·view thread
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I'm trying it, really interesting!
1mo ago·view thread
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Thanks to you! I will update the model later to make it more and more optimized but you will see everything you need in the readme.
1mo ago·view thread
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Absolutely yes! With nanoeuler I learned so much by testing every little detail of the project. Every little part you see has been tested and proven several times so that it could be understood and wo…
1mo ago·view thread
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Yes, because it has many separate kernels instead of aggressive merges like PyTorch (with Torch Compile). Each pass (norm, matmul, residual, RoPE, etc.) launches its own kernel, which increases launch…
1mo ago·view thread
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Hi, in nanoeuler I use cuBLAS (NVIDIA's super-optimized library) for all matrix multiplications, with the tensor cores in TF32 mode. It's the same thing PyTorch uses underneath, so it's…
1mo ago·view thread
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Really thanks If you need any help or have any questions I'm here.
1mo ago·view thread
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Hi, thanks for the comment. Nanoeuler is starting as a study and research project that will obviously improve over time. I'll do my best to make the readme and other things more readable. Thank y…
1mo ago·view thread
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Most part of trasformer and sft!
1mo ago·view thread
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Hi, the uploads are one after the other because it was a long, step-by-step research project where I tested the code on another machine. I admit that I'm slowly making up for the commits on all t…
1mo ago·view thread
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Hi, a couple of hours, not too much! Including sft!
1mo ago·view thread
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yes yes tested on a 4070 ti 16gb everything worked without problems!
1mo ago·view thread