Public KG record
MiniMax-M1-80k
Recorded overview
We introduce MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. MiniMax-M1 is powered by a hybrid Mixture-of-Experts (MoE) architecture combined with a lightning attention mechanism. The model is developed based on our previous MiniMax-Text-01 model, which contains a total of 456 billion parameters with 45.9 billion parameters activated per token. Consistent with MiniMax-Text-01, the M1 model natively supports a context length of 1 million tokens, 8x the context size of DeepSee
An evidence-backed entity from the project knowledge graph; detailed tool metadata is still being added.
Recorded details
- Capabilities: text generation
- Integrations: transformers integration
- Integrations: safetensors integration
- Integrations: vllm integration
- License: apache-2.0
- Supported types: text input/output
Evidence coverage
The KG currently records 9 known information dimensions and has 9 undocumented dimensions, linked to 1 public source articles. These counts describe record coverage, not model performance or verified fit.
Related public records
- MiniMax — develops
- MiniMax-M1 — part of