Model Detail

Ling-2.6-1T-base is a code generation model with 512.7B parameters released by inclusionAI. The model is registered under the text-generation pipeline tag on Hugging Face, distributed under the permissive mit license.

Ling-2.6-1T-base ships with 512.7B parameters. Total weight footprint is approximately 1025.5 GB, which is the relevant figure when planning local-inference VRAM. The mit license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Ling-2.6-1T-base is best fit for code completion, repository-scale Q&A, and pair-programming integrations. It is a less obvious choice for one-shot generation of security-critical code without review. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.