Downloads · 30 days
362
15% of all-time downloads
scottlowry/Qwen3.8-27B-oQ6e-mtp
Qwen3.8-27B-oQ6e-mtp is a machine learning model from scottlowry. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx.
[!NOTE] Updated 2026-10-25: Re-quantized with oMLX v0.7.3.dev2. Please re-download if you have an earlier copy.
Downloads · 30 days
362
15% of all-time downloads
All-time downloads
2.4K
Public
Parameters
27.8B
71.2 GB on disk
Likes
5
Public
Click a slice to open those files.
.safetensors23.7 GB · 100%
How the weights are stored.
U3227.3B · 98%
From the Hugging Face model README
[!NOTE] Updated 2026-10-25: Re-quantized with oMLX v0.7.3.dev2. Please re-download if you have an earlier copy.
This model was quantized using oQ (oMLX v0.7.3.dev2) mixed-precision quantization.
The effective average is 6.829 bits/weight for the complete checkpoint.
| Storage format | Logical weights | Share of total | Tensor storage | Effective bits/weight |
|---|---|---|---|---|
| Affine 6-bit, group 64 | 25.141B | 90.497% | 19.024 GiB | 6.50 |
| Affine 8-bit, group 64 | 2.124B | 7.646% | 2.102 GiB | 8.50 |
| BF16 | 0.516B | 1.857% | 0.961 GiB | 16.00 |
| Total | 27.781B | 100% | 22.087 GiB | 6.829 |
| Component | Logical weights | Storage |
|---|---|---|
| Language model | 26.896B | 22.387 GB / 20.850 GiB |
| Vision | 0.461B | 0.921 GB / 0.858 GiB |
| MTP head | 0.425B | 0.407 GB / 0.379 GiB |
| Total | 27.781B | 23.716 GB / 22.087 GiB |