Downloads · 30 days
623
8% of all-time downloads
mradermacher/MiniMax-M2.5-REAP-172B-A10B-GGUF
MiniMax-M2.5-REAP-172B-A10B-GGUF is a machine learning model from mradermacher. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.
static quants of https://huggingface.co/cerebras/MiniMax-M2.5-REAP-172B-A10B
Downloads · 30 days
623
8% of all-time downloads
All-time downloads
7.8K
Public
Repo size
1.2 TB
Likes
5
Public
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.gguf1.2 TB · 100%
From the Hugging Face model README
static quants of https://huggingface.co/cerebras/MiniMax-M2.5-REAP-172B-A10B
<!-- provided-files -->For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/MiniMax-M2.5-REAP-172B-A10B-i1-GGUF
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | Q2_K | 63.0 | |
| GGUF | Q3_K_S | 74.6 | |
| GGUF | Q3_K_M | 82.6 | lower quality |
| GGUF | Q3_K_L | 89.4 | |
| GGUF | IQ4_XS | 93.1 | |
| GGUF | Q4_K_S | 98.2 | fast, recommended |
| GGUF | Q4_K_M | 104.5 | fast, recommended |
| GGUF | Q5_K_S | 118.9 | |
| GGUF | Q5_K_M | 122.5 | |
| GGUF | Q6_K | 141.7 | very good quality |
| GGUF | Q8_0 | 183.5 | fast, best quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
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