@maharshii it actually hacked me xai's servers , now I'm training an lung cancer rink prediction model of approx 24T parameters on some 300k GPUs approx... so yeah thanks to Le Chaton Fat
Very excited to share Nemotron 3 Ultra, 550B total with 55B active MoE hybrid Mamba-Attention model post-trained for agentic applications!
This model delivers frontier-level agentic accuracy while being fast and open with weights, training software, and data available for commercial use. 1/4
https://t.co/RdotHn9VLs
Hybrid of token mixers like SSM or Attention over the sequence, while sharing the states. What could be the potential benefit of this architecture? As suggested if the switching could be learnable it may be interesting.
The MTP branch just got merged 2 hours ago on main llama.ccp, time to update and rebuild ๐ฅ
--spec-draft-p-min 0.75
This flag is what gives the extra speed boost on unsloth's gguf models as explained by Daniel yesterday!
Let's do some testing again, apparently it differs a bit from the previous branch but has better performance on longer ctx. I will share the flags and setup as usual
https://t.co/pTQnL0FDOR
@vllm_project merge qwem 3.4 4b gguf + mtp pls....
pr : https://t.co/doSkQYj1Xh
its so hard to build docker image manually compared to normal pull so pls help
MiniCPM-V4.6 1.3B is now open source! Smallest in the MiniCPM-V family, beats Qwen3.5-0.8B across OCRBench, RefCOCO, HallusionBench & MUIRBench. ๐
๐คWhat makes it work:
โ Built for Edge: Low hardware reqs + high compatibility with mobile/laptops.
โ Optimized ViT: ~50% less visual encoding compute.
โ Hybrid Compression: 4ร/16ร modes to trade accuracy for speed at runtime.
โ Compatible with ms-swift, LLaMA-Factory, vLLM, llama.cpp, Ollama.
๐ค https://t.co/voV6eInqU7
๐ป https://t.co/Aw1mOHm04I