New blog post on @huggingface!
An introdution to Trimming ✂️ a little-known but highly effective model reduction method. We achieved up to 87.24% size reduction while preserving performance 🧵
Introducing a revival of PapersWithCode!
As @ilyasut said, we're back to the "age of research".
Hence, it's important to share research and build on each other's work.
> find SOTA per domain, not just LLMs
> leaderboards
> methods
> all parsed at scale using AI agents.
🌐 I've just released Sentence Transformers v5.4: we're going fully multimodal for embeddings & reranking!
Also featuring a modular CrossEncoder, and automatic Flash Attention 2 input flattening.
Highlights in 🧵
CuTeDSL is really nice
For those wishing to get into writing kernels in this language, github.com/b-albar/machete can be useful
Boris ALBAR reimplemented Flash Attention, RoPE, RMSnorm, etc.
Everything compatible with HF Transformers (tests on llama3, GLM4.7, Qwen3), TRL, PEFT/LoRA
CuTeDSL is my new favourite thing: I wrote a kernel for RMS norm after learning about layouts, tiling, copying tensors, reductions and so on, especially for inference and it is about 2.13x faster than a triton fused kernel for the given shape.
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