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Qwen3.5-4B-oQ5e-fp16-mtp
scottlowry/Qwen3.5-4B-oQ5e-fp16-mtp
Qwen3.5-4B-oQ5e-fp16-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 2026-11-11: Re-quantized with oMLX v0.7.4.dev1. Please re-download if you have an earlier copy.
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4.7B
4.4 GB on disk
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Repo makeup
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.safetensors4.4 GB · 99%
Parameter types
How the weights are stored.
U324.3B · 93%
Base models
Model card
From the Hugging Face model README
Qwen3.5-4B-oQ5e-fp16-mtp
[!NOTE] Updated 2026-11-11: Re-quantized with oMLX v0.7.4.dev1. Please re-download if you have an earlier copy.
This model was quantized using oQ (oMLX v0.7.4.dev1) mixed-precision quantization.
The effective average is 7.612 bits/weight for the complete checkpoint.
Quantization and Bit Distribution
| Storage format | Logical weights | Share of total | Tensor storage | Effective bits/weight |
|---|---|---|---|---|
| Affine 5-bit, group 64 | 3.456B | 74.170% | 2.213 GiB | 5.50 |
| Affine 6-bit, group 64 | 0.856B | 18.367% | 0.648 GiB | 6.50 |
| Affine 8-bit, group 64 | 0.000B | 0.004% | 0.000 GiB | 8.50 |
| FP16 | 0.014B | 0.302% | 0.026 GiB | 16.00 |
| FP32 | 0.334B | 7.157% | 1.242 GiB | 32.00 |
| Total | 4.660B | 100% | 4.129 GiB | 7.612 |
Storage Breakdown
| Component | Logical weights | Storage |
|---|---|---|
| Language model | 4.206B | 2.997 GB / 2.791 GiB |
| Vision | 0.334B | 1.334 GB / 1.242 GiB |
| MTP head | 0.121B | 0.103 GB / 0.096 GiB |
| Total | 4.660B | 4.434 GB / 4.129 GiB |
- Library
- mlx
- Type
- qwen3_5
- Created
- Jul 24, 2026
- Updated
- Nov 11, 2026