Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
| arXiv : https://arxiv.org/abs/2606.15079 Full Paper : https://arxiv.org/pdf/2606.15079 HuggingFace : https://huggingface.co/inclusionAI/models?sort=created (This month they released base models for both Ling-2.6-1T & Ling-2.6-flash) -------------------------- Wish they released Ling-mini for 2.6 :( which's good for Poor GPU Club. (At least they released Ling-2.6-flash(100B), 24/32GB VRAM users could enjoy Q4) Was talking about Ling-mini-2.0 which's 16B-A1.4B. So faster one. Posted a thread last Jan. bailingmoe - Ling(16B) models' speed is better now
- Ling-mini-2.0-IQ4_XS - 160 t/s (on 8GB VRAM) - I would love to get 30-50B model from them to get fastest t/s from medium size model. Based on simple math, I would get 80 t/s for 30B Q4 with same 8GB VRAM. - Ling-mini-2.0-IQ4_XS - 50-70 t/s (on CPU-only inference - 32GB RAM) No other models given me such faster t/s. Till-date surprised about such faster t/s from CPU-only inference. So faster than even 1-bit version models. [link] [comments] |
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