GLM-5.3-Flash-oQ4e-mtp
[!NOTE] Updated 2026-10-24: Re-quantized with Better Low-Bit oQ. Please re-download if you have an earlier copy.
This model was quantized using oQ (oMLX v0.7.3.dev1) mixed-precision quantization with Better Low-Bit oQ (jundot/omlx#4776).
A mixed-precision MLX checkpoint of zai-org/GLM-5.3-Flash, a natively multimodal mixture-of-experts model with 320B total and 18B active parameters that combines sparse and linear attention with Manifold-Constrained Hyper-Connections (mHC). It includes the language model, the vision encoder and the multi-token prediction (MTP) head.
The effective average is 4.641 bits/weight for the complete checkpoint.
Quantization and Bit Distribution
oQ4e allocates bits by measured layer sensitivity, then rounds each group with an importance matrix (128 samples x 512 tokens) and a weighted least-squares refit of its scale and bias.
| Storage format | Logical weights | Share of total | Tensor storage | Effective bits/weight |
|---|---|---|---|---|
| Affine 4-bit, group 64 | 311.654B | 96.991% | 163.266 GiB | 4.50 |
| Affine 8-bit, group 64 | 8.976B | 2.793% | 8.882 GiB | 8.50 |
| BF16 | 0.607B | 0.189% | 1.131 GiB | 16.00 |
| FP32 | 0.086B | 0.027% | 0.322 GiB | 32.00 |
| Total | 321.323B | 100% | 173.600 GiB | 4.641 |
Storage Breakdown
| Component | Logical weights | Storage |
|---|---|---|
| Language backbone | 313.327B | 180.966 GB / 168.538 GiB |
| Vision encoder | 0.564B | 1.127 GB / 1.050 GiB |
| MTP head | 7.433B | 4.309 GB / 4.013 GiB |
| Total | 321.323B | 186.402 GB / 173.600 GiB |
License
MIT, following the source model. See LICENSE.