Downloads · 30 days
414
6% of all-time downloads
avar6/MiMo-V2.5-Pro-Base-gguf
MiMo-V2.5-Pro-Base-gguf is a machine learning model from avar6. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repo contains specialized MoE-quants for MiMo-V2.5-Pro-Base. The idea being that given the huge size of the FFN tensors compared to the rest of the tensors in the model, it should be possible to achieve a better…
Downloads · 30 days
414
6% of all-time downloads
All-time downloads
6.6K
Public
Repo size
1.2 TB
Likes
0
Public
Click a slice to open those files.
.gguf1.2 TB · 100%
From the Hugging Face model README
This repo contains specialized MoE-quants for MiMo-V2.5-Pro-Base. The idea being that given the huge size of the FFN tensors compared to the rest of the tensors in the model, it should be possible to achieve a better quality while keeping the overall size of the entire model smaller compared to a similar naive quantization. To that end, the quantization type default is kept in high quality and the FFN UP + FFN GATE tensors are quanted down along with the FFN DOWN tensors.
| Quant | Size | Mixture | PPL | 1-(Mean PPL(Q)/PPL(base)) | KLD |
|---|---|---|---|---|---|
| Q8_0 | 1012.92 GiB (8.50 BPW) | Q8_0 | 2.344588 ± 0.010019 | +0% | 0 |
| Q6_K | 787.32 GiB (6.61 BPW) | Q8_0 / Q6_K / Q6_K / Q6_K | 2.345036 ± 0.010024 | +0.0335% | 0.007237 ± 0.000078 |
| Q5_K_M | 704.84 GiB (5.92 BPW) | Q8_0 / Q5_K / Q5_K / Q6_K | 2.348139 ± 0.010046 | +0.1658% | 0.009220 ± 0.000084 |
| Q4_K_M | 586.58 GiB (4.92 BPW) | Q8_0 / Q4_K / Q4_K / Q5_K | 2.366152 ± 0.010162 | +0.9342% | 0.016214 ± 0.000138 |
| IQ4_XS | 454.99 GiB (3.82 BPW) | Q8_0 / IQ3_S / IQ3_S / IQ4_XS | 2.417036 ± 0.010382 | +3.1048% | 0.042863 ± 0.000354 |
| IQ3_S | 350.82 GiB (2.95 BPW) | Q6_K / IQ2_S / IQ2_S / IQ3_S | 2.638261 ± 0.011570 | +12.5417% | 0.126933 ± 0.000917 |
| IQ3_XS | 316.86 GiB (2.66 BPW) | Q6_K / IQ2_XS / IQ2_XS / IQ3_XXS | 2.819200 ± 0.012818 | +20.2601% | 0.188844 ± 0.001289 |
| IQ2_S | 299.70 GiB (2.52 BPW) | Q6_K / IQ2_XS / IQ2_XS / IQ2_S | 2.922672 ± 0.013398 | +24.6740% | 0.223651 ± 0.001460 |
