MiniMax-Text-01 is a groundbreaking large language model with 456 billion total parameters, activating 45.9 billion parameters per token. To better leverage its long-text processing capabilities, MiniMax-Text-01 adopts a hybrid architecture combining Lightning Attention, Softmax Attention, and Mixture-of-Experts (MoE). Through advanced parallel strategies and innovative compute-communication overlap methods (such as LASP+, varlen ring attention, ETP, etc.), MiniMax-Text-01's training context length extends to 1 million tokens, with inference supporting up to 4 million tokens. The model demonstrates top-tier performance across various academic benchmarks.
Innovative Architecture Design
MiniMax-Text-01's architecture showcases multiple innovations:
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Overall Scale:
- Total Parameters: 456B
- Activated Parameters per Token: 45.9B
- Number of Layers: 80
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Hybrid Attention Mechanism:
- One softmax attention layer after every 7 lightning attention layers
- Number of Attention Heads: 64
- Attention Head Dimension: 128
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Mixture of Experts:
- Number of Experts: 32
- Expert Hidden Dimension: 9216
- Top-2 Routing Strategy
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Position Encoding:
- Rotary Position Embedding (RoPE)
- Applied to half of the attention head dimension
- Base Frequency: 10,000,000
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Other Key Parameters:
- Hidden Size: 6144
- Vocabulary Size: 200,064
Outstanding Benchmark Performance
MiniMax-Text-01 demonstrates exceptional capabilities across core academic benchmarks:
General Capabilities
- MMLU: 88.5%, on par with top-tier models
- MMLU-Pro: 75.7%, showcasing deep professional knowledge
- C-SimpleQA: 67.4%, excellent in complex Q&A
- IFEval: 89.1%, demonstrating strong reasoning abilities
- Arena-Hard: 89.1%, maintaining high performance in challenging tasks
Reasoning and Mathematics
- GPQA: 54.4%, showing solid reasoning foundations
- DROP: 87.8%, excellent in reading comprehension
- GSM8k: 94.8%, outstanding mathematical problem-solving
- MATH: 77.4%, strong performance in complex mathematics
Programming Capabilities
- MBPP+: 71.7%, practical programming skills
- HumanEval: 86.9%, robust code generation abilities
Ultra-Long Context Processing
MiniMax-Text-01 shows special advantages in long-text processing:
4M Token Retrieval Test
- Excellent long-distance information retrieval in "needle in a haystack" tests
- Maintains stable attention and comprehension even in ultra-long contexts
Ruler Benchmark
- Maintains stable performance across all length tiers (4k to 1M)
- Maintains high score of 0.910 at 1M tokens
- Achieves excellent 0.928 performance at 512k tokens
LongBench v2 Testing
- Overall score of 56.5, leading other mainstream models
- Excellent performance in both simple (66.1) and difficult (50.5) tasks
- Stable performance across short (61.7), medium (56.7), and long (47.2) texts
Quick Start Guide
MiniMax-Text-01 offers a simple and intuitive usage approach:
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
tokenizer = AutoTokenizer.from_pretrained("MiniMaxAI/MiniMax-Text-01")
model = AutoModelForCausalLM.from_pretrained(
"MiniMaxAI/MiniMax-Text-01",
torch_dtype=torch.bfloat16,
trust_remote_code=True
)
messages = [
{"role": "system", "content": "You are an AI assistant developed by MiniMax based on the MiniMax-Text-01 model."},
{"role": "user", "content": "Hello!"}
]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=100)
response = tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:])Practical Applications and Future Outlook
MiniMax-Text-01 provides powerful support for various application scenarios:
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Knowledge-Intensive Tasks:
- Professional domain Q&A
- Academic research assistance
- Technical documentation understanding
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Long Text Processing:
- Document summarization and analysis
- Long-form content generation
- Context-aware reasoning
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Programming and Technology:
- Code generation and optimization
- Technical problem solving
- Algorithm design assistance
To facilitate user experience with MiniMax-Text-01's powerful features, we offer multiple access methods:
- Try Now - Free online chat interface, no registration required
- Hailuo AI chatbot platform
- MiniMax API Platform for developers
- Direct model access via Hugging Face
As we continue to push the boundaries of AI technology, MiniMax-Text-01 represents the latest advancement in large language models. Its outstanding performance across benchmarks and innovative architectural design make it an ideal choice for researchers, developers, and organizations exploring cutting-edge AI applications. We look forward to seeing more innovative applications based on MiniMax-Text-01, collectively advancing AI technology.