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AesSedai/MiMo-V2.5-Pro-GGUF
MiMo-V2.5-Pro-GGUF is a machine learning model from AesSedai. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
- 05/07/26: Unless some really asks for the Q80, I'm not planning on uploading it due to HF storage space constraints. Bartowski / Unsloth should have the Q80 quant when they get to this model.
Downloads · 30 days
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.gguf2.6 TB · 100%
From the Hugging Face model README
This repo contains specialized MoE-quants for MiMo-V2.5-Pro. 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 | 3.194827 ± 0.016728 | +0% | 0 |
| Q5_K_M | 704.84 GiB (5.92 BPW) | Q8_0 / Q5_K / Q5_K / Q6_K | 3.195406 ± 0.016711 | +0.0698% | 0.036850 ± 0.000815 |
| Q4_K_M | 585.98 GiB (4.92 BPW) | Q8_0 / Q4_K / Q4_K / Q5_K | 3.220761 ± 0.016918 | +0.8638% | 0.055113 ± 0.000954 |
| IQ4_XS | 454.99 GiB (3.82 BPW) | Q8_0 / IQ3_S / IQ3_S / IQ4_XS | 3.317572 ± 0.017483 | +3.8956% | 0.098682 ± 0.001013 |
| IQ3_S | 350.82 GiB (2.95 BPW) | Q6_K / IQ2_S / IQ2_S / IQ3_S | 3.644244 ± 0.019594 | +14.1259% | 0.207702 ± 0.001453 |
| IQ2_S | 297.45 GiB (2.50 BPW) | Q6_K / IQ2_XS / IQ2_XS / IQ2_S | 4.068630 ± 0.022989 | +27.4163% | 0.318892 ± 0.001943 |
