# Wan2.1 MXFP4 quantization structure report

- Source: `/workspace/lj/models/Wan2.1-T2V-1.3B-Diffusers`
- Quantized: `/workspace/lj/models/Wan2.1-T2V-1.3B-Diffusers-MXFP4-AutoRoundFormat-rtn`
- Mode: `RTN` (`iters=0`)
- Quantized shards: `1`
- Quantized transformer size: `0.739 GiB`
- Source transformer size: `5.286 GiB`
- Approximate size reduction: `7.15x`

## quantization_config

```json
{
  "act_bits": 4,
  "act_data_type": "mx_fp",
  "act_dynamic": true,
  "act_group_size": 32,
  "act_sym": true,
  "autoround_version": "0.14.2",
  "batch_size": 1,
  "bits": 4,
  "block_name_to_quantize": "blocks",
  "data_type": "mx_fp",
  "enable_quanted_input": false,
  "group_size": 32,
  "nsamples": 16,
  "packing_format": "auto_round:llm_compressor",
  "quant_method": "auto-round",
  "sym": true
}
```