Model Detail
LongCat-Flash-Lite-Sparse
—LongCat-Flash-Lite-Sparse is a large language model with 34.6B parameters released by meituan-longcat. The model is registered under the text-generation pipeline tag on Hugging Face, distributed under the permissive mit license.
LongCat-Flash-Lite-Sparse ships with 34.6B parameters. Total weight footprint is approximately 69.1 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.
LongCat-Flash-Lite-Sparse is best fit for general-purpose chat and instruction-following workloads. 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.
LongCat-DeepResearch Technical Report
arXiv:2609.36071v1 Announce Type: new Abstract: We present LongCat-DeepResearch, a deep research system that combines an enhanced LongCat model with a multi-agent workflow for producing comprehensive, evidence-grounded reports. The workflow separates global planning from detailed investigation and c
LongCat-Next: Lexicalizing Modalities as Discrete Tokens
arXiv:2603.27538v1 Announce Type: cross Abstract: The prevailing Next-Token Prediction (NTP) paradigm has driven the success of large language models through discrete autoregressive modeling. However, contemporary multimodal systems remain language-centric, often treating non-linguistic modalities a
