AesSedai/MiMo-V2.6-Flash-MOPD-GGUF overview
This repo contains specialized MoE quants for XiaomiMiMo/MiMo V2.6 Flash MOPD. The idea being that given the huge size of the FFN tensors compared to the rest …
Runs locally from ~5.7 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| BPW2.0/MiMo-V2.6-Flash-MOPD-BPW2.0-00001-of-00003.gguf | GGUF | GGUF | 5.7 MB | Download |
| BPW2.0/MiMo-V2.6-Flash-MOPD-BPW2.0-00002-of-00003.gguf | GGUF | GGUF | 46.46 GB | Download |
| BPW2.0/MiMo-V2.6-Flash-MOPD-BPW2.0-00003-of-00003.gguf | GGUF | GGUF | 25.61 GB | Download |
| BPW2.5/MiMo-V2.6-Flash-MOPD-BPW2.5-00001-of-00003.gguf | GGUF | GGUF | 5.7 MB | Download |
| BPW2.5/MiMo-V2.6-Flash-MOPD-BPW2.5-00002-of-00003.gguf | GGUF | GGUF | 46.11 GB | Download |
| BPW2.5/MiMo-V2.6-Flash-MOPD-BPW2.5-00003-of-00003.gguf | GGUF | GGUF | 43.99 GB | Download |
| BPW3.0/MiMo-V2.6-Flash-MOPD-BPW3.0-00001-of-00004.gguf | GGUF | GGUF | 5.7 MB | Download |
| BPW3.0/MiMo-V2.6-Flash-MOPD-BPW3.0-00002-of-00004.gguf | GGUF | GGUF | 46.17 GB | Download |
| BPW3.0/MiMo-V2.6-Flash-MOPD-BPW3.0-00003-of-00004.gguf | GGUF | GGUF | 46.32 GB | Download |
| BPW3.0/MiMo-V2.6-Flash-MOPD-BPW3.0-00004-of-00004.gguf | GGUF | GGUF | 15.67 GB | Download |
| BPW3.5/MiMo-V2.6-Flash-MOPD-BPW3.5-00001-of-00004.gguf | GGUF | GGUF | 5.7 MB | Download |
| BPW3.5/MiMo-V2.6-Flash-MOPD-BPW3.5-00002-of-00004.gguf | GGUF | GGUF | 46.01 GB | Download |
| BPW3.5/MiMo-V2.6-Flash-MOPD-BPW3.5-00003-of-00004.gguf | GGUF | GGUF | 46.50 GB | Download |
| BPW3.5/MiMo-V2.6-Flash-MOPD-BPW3.5-00004-of-00004.gguf | GGUF | GGUF | 33.67 GB | Download |
| MXFP4/MiMo-V2.6-Flash-MOPD-MXFP4-00001-of-00005.gguf | GGUF | GGUF | 5.7 MB | Download |
| MXFP4/MiMo-V2.6-Flash-MOPD-MXFP4-00002-of-00005.gguf | GGUF | GGUF | 45.69 GB | Download |
| MXFP4/MiMo-V2.6-Flash-MOPD-MXFP4-00003-of-00005.gguf | GGUF | GGUF | 45.69 GB | Download |
| MXFP4/MiMo-V2.6-Flash-MOPD-MXFP4-00004-of-00005.gguf | GGUF | GGUF | 45.69 GB | Download |
| MXFP4/MiMo-V2.6-Flash-MOPD-MXFP4-00005-of-00005.gguf | GGUF | GGUF | 25.83 GB | Download |
| imatrix-bpw.gguf | GGUF | GGUF | 946.4 MB | Download |
| mmproj-MiMo-V2.6-Flash-MOPD-BF16.gguf | GGUF | BF16 | 2.56 GB | Download |
| mmproj-MiMo-V2.6-Flash-MOPD-F16.gguf | GGUF | F16 | 2.56 GB | Download |
| mmproj-MiMo-V2.6-Flash-MOPD-F32.gguf | GGUF | F32 | 4.91 GB | Download |
| mmproj-MiMo-V2.6-Flash-MOPD-Q8_0.gguf | GGUF | Q8_0 | 1.46 GB | Download |
Model Details
Model README
---
base_model:
- XiaomiMiMo/MiMo-V2.6-Flash-MOPD
---
This repo contains specialized MoE-quants for XiaomiMiMo/MiMo-V2.6-Flash-MOPD. 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.
The MXFP4 quant is the "full quality" version, as the model has MXFP4 experts.
The BPW quants were produced using ed's bpw-size PR. The FFNs are the primarily quantized feature, rest of the model remains in Q8_0 / Q6_K
| Quant | Size | Mixture | PPL | 1-(Mean PPL(Q)/PPL(base)) | KLD |
| :----- | :-------------------- | :-------------------------------------- | :------------------ | :------------------------ | :------------------ |
| MXFP4 | 162.89 GiB (4.52 BPW) | BF16 / MXFP4 | 5.147382 ± 0.030566 | +0.0753% | -0.000000 ± 0.000000 |
| BPW3.5 | 126.18 GiB (3.50 BPW) | Q8_0 / varies | 5.248009 ± 0.031054 | +2.0317% | 0.134408 ± 0.000692 |
| BPW3.0 | 108.16 GiB (3.00 BPW) | Q8_0 / varies | 5.425520 ± 0.032234 | +5.4829% | 0.173319 ± 0.000870 |
| BPW2.5 | 90.09 GiB (2.50 BPW) | Q6_K / varies | 5.684465 ± 0.034102 | +10.5173% | 0.226887 ± 0.001093 |
| BPW2.0 | 72.07 GiB (2.00 BPW) | Q6_K / varies | 6.544785 ± 0.040620 | +27.2436% | 0.365580 ± 0.001645 |
Run AesSedai/MiMo-V2.6-Flash-MOPD-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models