---
title: MiniMax-M3.1-Flash-GGUF-metrics
canonical_url: "https://www.modelscope.cn/datasets/AtomicChat/MiniMax-M3.1-Flash-GGUF-metrics"
md_url: "https://www.modelscope.cn/datasets/AtomicChat/MiniMax-M3.1-Flash-GGUF-metrics.md"
repository: AtomicChat/MiniMax-M3.1-Flash-GGUF-metrics
last_updated: 2026-10-24
license: other
storage_size: "907 MB"
downloads: 63
stars: 0
---

# MiniMax-M3.1-Flash-GGUF-metrics

> MiniMax-M3.1-Flash-GGUF-metrics - AtomicChat 在 ModelScope 开源的数据集。MiniMax M3.1 Flash GGUF: metrics and build data

AtomicChat/MiniMax-M3.1-Flash-GGUF-metrics 是 ModelScope 魔搭社区上的数据集，存储大小 907 MB，采用 other 许可。

- **Repository**: AtomicChat/MiniMax-M3.1-Flash-GGUF-metrics
- **License**: other
- **Storage size**: 907 MB
- **Downloads**: 63
- **Stars**: 0
- **Last updated**: 2026-10-24

Source: https://www.modelscope.cn/datasets/AtomicChat/MiniMax-M3.1-Flash-GGUF-metrics

---

# MiniMax M3.1 Flash GGUF: metrics and build data

Everything behind [AtomicChat/MiniMax-M3.1-Flash-GGUF](https://huggingface.co/AtomicChat/MiniMax-M3.1-Flash-GGUF):
the importance matrix and calibration text used for the Atomic Dynamic (AD) files, the quantization logs, and the
quality measurements. The quality table itself is in the model card.

| Path | What it holds |
|---|---|
| `imatrix/imatrix.gguf` | The importance matrix: 2,375,680 tokens through a Q8_0 copy of the model. Every one of the 128 experts in all 57 MoE blocks received tokens. |
| `imatrix/imatrix.stats.txt` | Per tensor: matrices, matrices that received no tokens, mean activation energy per token, token counts. |
| `calib/minimax-m3.1-moe/` | The calibration build: about 4.75M tokens of agentic, code, reasoning, 30-language and structured text rendered through M3.1 Flash's own chat template, plus 759k tokens of long documents; the recipe and the build logs. |
| `logs/` | One quantization log per AD file, the hot/cold block bands chosen from the imatrix, the run log. |
| `metrics/` | KLD and top-1 agreement against Q8_0 for every file, `results.json`, the raw `llama-perplexity` logs. |
| `diag/` | The perplexity checks of 23 October 2026: plain text against the model's chat format, CPU against GPU, ARM weight repacking. |

## How the importance matrix was made

- llama.cpp `f5027fb21307`, `llama-imatrix` on a Q8_0 copy: the BF16 (794 GiB) does not fit the GH200 we used
  (95 GB HBM, 525 GiB RAM). The experts of 53 of 57 MoE blocks sat in pinned host memory (`--load-mode none`,
  `--no-repack`).
- Input: every other 512-token piece of the calibration build, 64 sequences per batch, special tokens parsed.
- One local change to `llama-imatrix`: it asked for the logits of every 4th token only, because the logits of
  32,768 tokens over a 200,064-token vocabulary overflow 32-bit indexing. The last block's experts therefore saw
  a quarter of the tokens: between 293 and 66,450 per expert.
- Bands: in every AD file the blocks with the highest activation energy on `ffn_gate_exps` (the last six to eight)
  get one step more precision and the coldest early blocks one step less (`logs/bands-*.log`).

## Reading the measurements

- **Measured on chat-format text.** KLD and top-1 are taken against Q8_0 on the odd pieces of the calibration
  build (the imatrix used the even ones), in M3.1's chat markup, 4096-token context.
- **Absolute levels are high for this model.** Even the 4-bit files pick Q8_0's top token about three times in
  four. Compare the files with each other, not with other models' numbers; we are looking into why.
- **Plain-text perplexity is not a quality measure here.** On wikitext the 2-bit file scores 52 against BF16's
  156 (`diag/`): a chat-only model is confidently wrong on plain prose, and quantization noise makes it less so.
- **On ARM CPUs** llama.cpp's weight repacking broke this MoE's Q8_0 (perplexity near 5,000). Every number here
  was taken with `--no-repack`.
- `logs/*AD-IQ2_S*` belong to a file we did not publish: its `iq2_s` experts answered with nonsense on every
  backend we tried, and AD-Q2_K replaced it.

## License

The importance matrix and the logs derive from MiniMax M3.1 Flash and fall under the
[MiniMax Community License](https://huggingface.co/MiniMaxAI/MiniMax-M3.1-Flash/blob/main/LICENSE). The
calibration text comes from [AtomicChat/calib-corpora](https://huggingface.co/datasets/AtomicChat/calib-corpora),
whose sources and licenses are listed there.

Made by [AtomicChat](https://atomic.chat).