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Model Detail

meituan-longcat logo

LongCat-Next

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Provider: meituan-longcatCategory: codePipeline: any-to-any
DB Score
0.7
Downloads
8K
Likes
152
Day
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Week
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Overview

LongCat-Next is a code generation model with 37.1B parameters released by meituan-longcat. The model is registered under the any-to-any pipeline tag on Hugging Face, distributed under the permissive mit license.

Technical

LongCat-Next ships with 37.1B parameters. Total weight footprint is approximately 74.3 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.

Use Cases

LongCat-Next 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.

Download History
Research Paper
arXiv: 2603.27538→
Model Info
Licensemit
Citations5 (0 influential)
Recent newsView all news →
Related News
arxiv66d ago

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

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