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MiniMax-M2.7-REAP-172B-A10B-GGUF
exdysa/MiniMax-M2.7-REAP-172B-A10B-GGUF
MiniMax-M2.7-REAP-172B-A10B-GGUF is a text generation model from exdysa. Use it when you need the model to write or continue text. It is set up for llama.cpp. The card lists the license as other.
[!IMPORTANT] Original Model Link : saricles/MiniMax-M2.7-REAP-172B-A10B-BF16
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720 GB
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.gguf720 GB · 100%
At a glance
- Task
- Text Generation
- Library
- llama.cpp
- License
- other
- Access
- Public
- Created
- Apr 17, 2026
- Updated
- Apr 27, 2026
- SHA
- 7e5c1f08
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Base models
Model card
From the Hugging Face model README
[!IMPORTANT] Original Model Link : saricles/MiniMax-M2.7-REAP-172B-A10B-BF16
name: MiniMax-M2.7-REAP-172B-A10B-GGUF
base_model: MiniMaxAI/MiniMax-M2.7
license: other
pipeline_tag: text-generation
tasks: text-generation
language: en
library_name: llama.cpp
tags:
- Cerebras
- MiniMaxAI
- M2.7
- REAP
- GGUF
- static quantization
MiniMax-M2.7-REAP-172B-A10B-GGUF
This is a 230 billion parameter MiniMax M2.5 model with 25% of its experts pruned with REAP (Router-weighted Expert Activation Pruning), then converted to GGUF with llama.cpp and static quantized.
Command sequence using source version of llama.cpp from source and /opt/homebrew/Cellar/llama.cpp/8680 llama-quantize:
hf download saricles/MiniMax-M2.7-REAP-172B-A10B-BF16 --local-dir MiniMax-M2.7-REAP-172B-A10B-BF16
python -m convert_hf_to_gguf ~/Downloads/MiniMax-M2.7-REAP-172B-A10B-BF16
llama-quantize MiniMax-M2.5-REAP-172B-A10B-BF16.gguf Q4_K_M
- Task
- Text Generation
- Library
- llama.cpp
- License
- other
- Languages
- en
- Created
- Apr 17, 2026
- Updated
- Apr 27, 2026