LongCat-2.0
Official · BF16 · safetensors
Runtime certified: SGLang
| Precision / quantization | Format | Bits | Publisher trust | Deployment state |
|---|---|---|---|---|
| BF16 | safetensors | 16 | Official | Runtime certified |
LongCat · General · LongCat 2.0
LongCat 2.0 is a current General release in the LongCat family, certified from its immutable official source revision.
LongCat 2.0 is an official self-hostable Meituan release in the LongCat General track. It uses LongcatCausalLM, carries 1600B / 48B MoE, supports a verified context window of 1,048,576 tokens, and exposes only source-certified checkpoints and runtime combinations. Its release, license and deployment facts are tied to the official repository revision rather than inferred from the family name.
LongCat 2.0 uses LongcatCausalLM with 1600B / 48B MoE. The stored architecture profile records 38 layers, hidden width 8192, 64 attention heads and a 1,048,576 token context ceiling where the official configuration publishes those fields.
Only exact, source-certified variants attached to this release are shown.
Official · BF16 · safetensors
Runtime certified: SGLang
| Precision / quantization | Format | Bits | Publisher trust | Deployment state |
|---|---|---|---|---|
| BF16 | safetensors | 16 | Official | Runtime certified |
meituan-longcat/LongCat-2.0-FP8
Official · FP8 · safetensors
Runtime certified: SGLang
| Precision / quantization | Format | Bits | Publisher trust | Deployment state |
|---|---|---|---|---|
| FP8 | safetensors | 8 | Official | Runtime certified |
meituan-longcat/LongCat-2.0-INT8
Official · INT8 · safetensors
Runtime certified: SGLang
| Precision / quantization | Format | Bits | Publisher trust | Deployment state |
|---|---|---|---|---|
| INT8 | safetensors | 8 | Official | Runtime certified |
Use only the listed sglang runtime configuration with the exact checkpoint precision. The recommendation engine checks weight memory, KV cache, runtime overhead, safety headroom, GPU architecture and topology before ranking rentable and reference hardware.
No current FusionPointAI inventory passes every runtime, architecture, topology and memory gate for this exact checkpoint. Use the estimator for global compatible hardware.
The full 1600B resident weight set must fit across the selected GPUs. Context and concurrency add KV-cache memory; MoE active parameters do not replace resident-weight memory.
LongCat 2.0 is published under MIT License. The release-scoped official license link and verification date are retained with the catalogue record.
Commercial Use Allowed. The official license permits commercial use; its obligations still apply.
LongCat-2.0, LongCat-2.0-INT8, LongCat-2.0-FP8
The exact estimate depends on checkpoint precision, context and concurrency; the page recommendation uses the certified memory engine and compatible runtime configurations.
Certified upstream runtime evidence is available for sglang.
The stored commercial classification is Commercial Use Allowed. Consult the official MIT License terms for the final obligations.
Last verified: 2026-08-26