MiniMax M2.5 REAP 139B A10B is an open-source language model by cerebras. Features: 139b LLM, VRAM: 141.2GB, Context: 192K, License: other, LLM Explorer Score: 0.33.
Arxiv:2510.13999 Base model:minimaxai/minimax-m... Base model:quantized:minimaxai... Compression Conversational Custom code En Endpoints compatible Fp8 Minimax Minimax m2 Moe Pruning Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/cerebras/MiniMax-M2.5-REAP-139B-A10B
MiniMax M2.5 REAP 139B A10B 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 REAP 139B A10B Parameters and Internals
| LLM Name | MiniMax M2.5 REAP 139B A10B |
| Repository 🤗 | https://huggingface.co/cerebras/MiniMax-M2.5-REAP-139B-A10B |
| Base Model(s) | |
| Model Size | 139b |
| Required VRAM | 141.2 GB |
| Updated | 2026-04-06 |
| Maintainer | cerebras |
| Model Type | minimax_m2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MiniMaxM2ForCausalLM |
| License | other |
| Context Length | 196608 |
| Model Max Length | 196608 |
| Transformers Version | 4.46.1 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 200064 |
Best Alternatives to MiniMax M2.5 REAP 139B A10B
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Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MiniMax M2 REAP 139B A10B | 192K / 140.5 GB | 24 | 18 |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a