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Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion
A technical report titled "Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale" has been published
Key takeaways
- Base models for both Ling-2.6-1T and Ling-2.6-flash (100B) were released this month.
- Ling-2.6-flash (100B) allows users with 24/32GB VRAM to run Q4 quantized versions.
A technical report titled "Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale" has been published on arXiv. Alongside the report, base models for both the trillion-parameter Ling-2.6-1T and the 100B parameter Ling-2.6-flash have been released on HuggingFace by inclusionAI.
By the numbers
- 100B
- Parameter size of the Ling-2.6-flash model
- 160 t/s
- Inference speed of Ling-mini-2.0-IQ4_XS on 8GB VRAM
- 50-70 t/s
- Inference speed of Ling-mini-2.0-IQ4_XS on CPU-only 32GB RAM
How it unfolded
- User posted a thread about Ling(16B) model speeds
- Released base models for Ling-2.6-1T and Ling-2.6-flash
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Common questions
- What happened with Ling-2.6-1T?
- Base models for both Ling-2.6-1T and Ling-2.6-flash (100B) were released this month.
- Where can I read the original report?
- Read the full report at reddit_search.
