MiniMax-M2.5

CheckpointMiniMaxAI/MiniMax-M2.5Model card indexedModel card

Support summary

MiniMax-M2.5 is a checkpoint published by MiniMax, built on the MiniMaxM2ForCausalLM architecture. The newest indexed releases vLLM 0.28.0 and SGLang 0.5.19 both document support. TensorRT-LLM lists its architecture, but not this exact checkpoint.

SGLang documents support in 13 of 13 indexed releases, from 0.5.10 to 0.5.19.

Documented hardware
NVIDIA / CUDA and AMD / ROCm
Documented quantization
FP8
Documented features
Reasoning parsers, Tensor parallelism, and Tool calling
Configured context
196,608 tokens
License
modified-mit

Hardware, quantization and features count only statements about this checkpoint; engine-wide capabilities are listed with each release.

Hugging Face model card
Publisher
MiniMax
Task
text generation
Library
transformers
Architecture
MiniMaxM2ForCausalLM
Weight tensor elements
228.7B
Tensor types
F32, BF16, F8_E4M3
Quantization
fp8
Configured context
196,608 tokens
Weight access
Public
Repository created
2026-02-12
Source 1: MiniMaxAI/MiniMax-M2.5 · publisher model cardSource 2: MiniMaxAI/MiniMax-M2.5 · Hugging Face metadataSource 3: MiniMaxAI/MiniMax-M2.5 · publisher configurationReviewed
Model notes and sources

Engine support

3 engines

Engine support for MiniMax-M2.5
EngineReleaseCheckpoint supportEvidence scopeLast known supported
vLLM0.28.0Newest indexedCheckpoint evidenceSource 1: vllm · models/MiniMaxAI/MiniMax-M2.5.yamlReviewed 0.28.0This release
Features, dependencies and evidence for vLLM 0.28.0
SGLang0.5.19Newest indexedCheckpoint evidenceSource: SGLang v0.5.19 · docs/docs/supported-models/generative_models.mdxReviewed 0.5.19This release
Features, dependencies and evidence for SGLang 0.5.19
TensorRT-LLM1.2.1Newest indexedArchitecture listed; exact checkpoint unknownNo supported release indexed
Features, dependencies and evidence for TensorRT-LLM 1.2.1

Recipes and cookbooks