MiniMax-M2.5-REAP-139B-A10B-GGUF

This is the REAP model in practical pants: high quality GGUF quants for local inference without setting your workstation on fire.

Built from:

• Base: MiniMaxAI/MiniMax-M2.5
• REAP source: tomngdev/MiniMax-M2.5-REAP-139B-A10B-GGUF (BF16 split)
• Quantized locally with llama.cpp on Strix Halo + high RAM mode.

Available Quants

Quant	Status	Size (GiB)	Notes
Q8_0	uploaded	137.78	Highest quality quant in this pack
Q5_K_M	uploading	92.33	Better quality/size balance
Q4_K_M	uploaded	78.83	Strong practical default

File Layout

All quants are split GGUF sets (00001-of-00007 etc.) for safer handling of very large models.

Quality Notes

• These are generated from BF16 REAP GGUF, not requantized from lower precision.
• Token embedding and output tensors are kept at Q8_0 during quantization for quality retention.

Usage

Use any first shard with llama.cpp; it auto-discovers sibling shards:

llama-cli -m MiniMax-M2.5-REAP-Q4_K_M-00001-of-00007.gguf -ngl 0 -c 8192

Credits

• MiniMaxAI for MiniMax-M2.5
• tomngdev for the BF16 REAP GGUF release
• BennyDaBall for this quant pack

Disclaimer

You are responsible for your own use, outputs, and compliance with applicable laws and platform policies.