This is the last piece of the set.
Three quants (FP8, NVFP4 LoopShield, NVFP4A16) plus the EAGLE-3 head.
What are you running Nanbeige for? and what tok/s are you getting with the quant + draft head?
genuinely curious. Get em here:
Looped transformers (this model) reuse their weights each token.
Two things go sideways:
- quant error doubles
- the draft-layer naming clashes with the loop.
had to handle the virtual depth explicitly
huggingface.co/NullSense/Nan… Curious about people's speed numbers!
Trained an EAGLE-3 speculative decoding model, get some speed on your Nanbeige4.2-3B model! ⚡️⚡️⚡️
Decodes up to +48% faster with it, scales to ~3,100tok/s
Completely lossess
One vLLM config.
GGUF coming soon.