MiniMax-M2.7

CheckpointMiniMaxAI/MiniMax-M2.7Model card indexedModel card

Support summary

MiniMax-M2.7 is a checkpoint published by MiniMax, built on the MiniMaxM2ForCausalLM architecture. Official recipes or cookbooks cover vLLM and SGLang, without pinning a stable release. TensorRT-LLM lists its architecture, but not this exact checkpoint.

Documented hardware
NVIDIA / CUDA and AMD / ROCm
Documented quantization
FP8
Documented features
Reasoning parsers, Tensor parallelism, and Tool calling
Configured context
204,800 tokens
License
other

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
License
other
Library
transformers
Architecture
MiniMaxM2ForCausalLM
Weight tensor elements
228.7B
Tensor types
F32, BF16, F8_E4M3
Quantization
fp8
Configured context
204,800 tokens
Weight access
Public
Repository created
2026-04-09
Source 1: MiniMaxAI/MiniMax-M2.7 · publisher model cardSource 2: MiniMaxAI/MiniMax-M2.7 · Hugging Face metadataSource 3: MiniMaxAI/MiniMax-M2.7 · publisher configurationReviewed
Model notes and sources

Engine support

3 engines

Engine support for MiniMax-M2.7
EngineReleaseCheckpoint supportEvidence scopeLast known supported
vLLMVersion not pinnedRecipe / cookbookDocumented recipe

Official recipe

Source: vllm · models/MiniMaxAI/MiniMax-M2.7.yamlReviewed
No supported release indexed
Features, dependencies and evidence for vLLM 0.28.0
SGLangVersion not pinnedRecipe / cookbookDocumented recipe

Official recipe

Source 1: sglang · docs/cookbook/autoregressive/MiniMax/MiniMax-M2.7.mdxSource 2: sglang · docs/src/snippets/autoregressive/minimax-m27-deployment.jsxReviewed
No supported release indexed
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