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MiniMax M2.7 REAP 172B A10B AutoRound W4A16 by MJPansa

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MiniMax M2.7 REAP 172B A10B AutoRound W4A16 is an open-source language model by MJPansa. Features: 172b LLM, VRAM: 91.4GB, Context: 192K, License: other, LLM Explorer Score: 0.33.

  4-bit   Auto-round   Autoround Base model:minimaxai/minimax-m... Base model:quantized:minimaxai...   Blackwell   Conversational   Custom code Dataset:theblackcat102/evol-co...   Dgx-spark   En   Endpoints compatible   Gptq   Int4   Minimax   Minimax-m2   Minimax m2   Mixture-of-experts   Moe   Pruned   Quantization   Reap   Region:us   Safetensors   Sharded   Tensorflow   Vllm   W4a16
Model Card on HF 🤗: https://huggingface.co/MJPansa/MiniMax-M2.7-REAP-172B-A10B-AutoRound-W4A16 

MiniMax M2.7 REAP 172B A10B AutoRound W4A16 Benchmarks

LLME Score: 0.32685
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MiniMax M2.7 REAP 172B A10B AutoRound W4A16 (MJPansa/MiniMax-M2.7-REAP-172B-A10B-AutoRound-W4A16)
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MiniMax M2.7 REAP 172B A10B AutoRound W4A16 Parameters and Internals

LLM NameMiniMax M2.7 REAP 172B A10B AutoRound W4A16
Repository 🤗https://huggingface.co/MJPansa/MiniMax-M2.7-REAP-172B-A10B-AutoRound-W4A16 
Base Model(s)  MiniMaxAI/MiniMax-M2.7   MiniMaxAI/MiniMax-M2.7
Model Size172b
Required VRAM91.4 GB
Updated2026-04-26
MaintainerMJPansa
Model Typeminimax_m2
Model Files  4.0 GB: 1-of-23   4.1 GB: 2-of-23   4.0 GB: 3-of-23   4.1 GB: 4-of-23   4.0 GB: 5-of-23   4.1 GB: 6-of-23   4.0 GB: 7-of-23   4.1 GB: 8-of-23   4.0 GB: 9-of-23   4.0 GB: 10-of-23   4.0 GB: 11-of-23   4.0 GB: 12-of-23   4.1 GB: 13-of-23   4.1 GB: 14-of-23   4.0 GB: 15-of-23   4.0 GB: 16-of-23   4.0 GB: 17-of-23   4.1 GB: 18-of-23   4.0 GB: 19-of-23   4.1 GB: 20-of-23   4.0 GB: 21-of-23   4.0 GB: 22-of-23   2.6 GB: 23-of-23
Supported Languagesen
Model ArchitectureMiniMaxM2ForCausalLM
Licenseother
Context Length196608
Model Max Length196608
Transformers Version4.55.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size200064
Torch Data Typefloat32

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