Downloads · 30 days
68
52% of all-time downloads
scottlowry/Qwen3.5-4B-oQ5e-mtp
Qwen3.5-4B-oQ5e-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
68
52% of all-time downloads
All-time downloads
132
Public
Parameters
4.7B
11.3 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors3.8 GB · 99%
How the weights are stored.
U324.3B · 93%
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 6.478 bits/weight for the complete checkpoint.
| Storage format | Logical weights | Share of total | Tensor storage | Effective bits/weight |
|---|---|---|---|---|
| Affine 5-bit, group 64 | 3.406B | 73.083% | 2.181 GiB | 5.50 |
| Affine 6-bit, group 64 | 0.907B | 19.454% | 0.686 GiB | 6.50 |
| Affine 8-bit, group 64 | 0.000B | 0.004% | 0.000 GiB | 8.50 |
| BF16 | 0.348B | 7.459% | 0.647 GiB | 16.00 |
| Total | 4.660B | 100% | 3.514 GiB | 6.478 |
| Component | Logical weights | Storage |
|---|---|---|
| Language model | 4.206B | 3.000 GB / 2.794 GiB |
| Vision | 0.334B | 0.667 GB / 0.621 GiB |
| MTP head | 0.121B | 0.106 GB / 0.099 GiB |
| Total | 4.660B | 3.773 GB / 3.514 GiB |