---
library_name: pytorch
base_model: microsoft/FrogBoss-32B-2510
tags:
- quantized
- custom-code
- safetensors
---

# All-STQ compressed checkpoint

Source: `microsoft/FrogBoss-32B-2510`
Source revision: `cc930952b8751de86a2a44debaf26e45e677a291`

This is a custom Sherry-style packed checkpoint, **not a verified Tencent
serialization format** and not directly loadable with ordinary Transformers
`from_pretrained()`.

All supported weight matrices use 42 bytes per 256 weights:
three signed active values per four coordinates, with one FP16 scale per
256 weights. Vectors and scalars remain FP16.

Importance weights are all one. No activation calibration, recovery training,
or model-quality evaluation was performed.

Packed shard size: 5.377 GB.

The original architecture and parameter count are unchanged.
Substantial accuracy loss and incoherent generations are possible.

Use the accompanying Colab custom-loader cells to run this representation.
Retain a copy of that notebook: the packed tensors are not standard dense
Transformers weights.

Review the original model's license before use or redistribution.