Viewing profile — l-m-z

Hibiki is an auto-regressive model with temperature based sampling so very similar to a LLM, generations are "random" and you can make them deterministic by fixing the RNG seed.

Hi swyx, laurent from kyutai here. We actually used the online demo at moshi.chat for the live event (the original demo), so same quantization. We updated the weights on the online…

Candle dev here, we also support training/backdrop! We certainly focus on optimizing inference performance but hopefully that should improve the training efficiency too.

The tensors should be Send and Sync so can be manipulated from multiple threads, the underlying data is protected by a RWLock to guard against data races. The heavy operations such…

Another random (self) plug for a rust version, this uses the candle ML library we've been working on for the last month and can be run in the browser. https://laurentmazare.github.…

This is an implementation of Stable Diffusion in Rust using libtorch bindings - including some nice samples of rusty robots! It follows the lines of Huggingface's (amazing) diffuse…

This is from yesterday's (June the 15th) workshop on self-supervised learning at ICML. The video of this talk can be seen here: https://www.facebook.com/icml.imls/videos/2030095370…

(I'm obviously biased as being the author of ocaml-torch) Using functional programming is not of much help for size mismatches, the current bindings don't even use the type system …

Bindings author here. This should support most of the PyTorch ops - this is done by automatically generating the binding code as there are more than a thousand of these. Most of th…