MiniMax M2.5 Int4 AutoRound is an open-source language model by Intel. Features: 31.7b LLM, VRAM: 121.4GB, Context: 192K, LLM Explorer Score: 0.31.
Arxiv:2309.05516 4-bit Auto-round Base model:minimaxai/minimax-m... Base model:quantized:minimaxai... Conversational Custom code Minimax m2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Intel/MiniMax-M2.5-int4-AutoRound
MiniMax M2.5 Int4 AutoRound Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
MiniMax M2.5 Int4 AutoRound Parameters and Internals
| LLM Name | MiniMax M2.5 Int4 AutoRound |
| Repository 🤗 | https://huggingface.co/Intel/MiniMax-M2.5-int4-AutoRound |
| Base Model(s) | |
| Model Size | 31.7b |
| Required VRAM | 121.4 GB |
| Updated | 2026-03-27 |
| Maintainer | Intel |
| Model Type | minimax_m2 |
| Model Files | |
| Model Architecture | MiniMaxM2ForCausalLM |
| Context Length | 196608 |
| Model Max Length | 196608 |
| Transformers Version | 4.57.1 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 200064 |
Rank the MiniMax M2.5 Int4 AutoRound Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a