Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads — mentioned by Cieric

Thu, 09 Jul 2026 21:44:36 GMT

I was actually just working on the same thing as this, but I went down the route of mmapping the entire model into memory to avoid the extra ram usage. I also had Claude implement Medusa[1] on the model to try and avoid loading an additional model into memory but still get the benefits of MTP. Currently at a stop light so I can't list everything and I didn't get to read your full post either yet. To expand since I just got home, I'm making all of my modifications to llama.cpp, the goal was to eventually put this on a SBC of some kind with an nvme to handle the mmapped files. I think the…

Paper and discussion history. A mention is not an endorsement.

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads — mentioned by milkey_mouse

Sun, 21 Apr 2024 19:43:58 GMT

> I do have a feeling of dejavú, like I've seen this before on hn. You're either thinking of speculative encoding more generally, or Medusa: https://arxiv.org/abs/2401.10774

Paper and discussion history. A mention is not an endorsement.

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads · HackerPapers discussions

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads — mentioned by Cieric

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads — mentioned by milkey_mouse