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Qwen3.5-9B-oQ4e-fp16-mtp
scottlowry/Qwen3.5-9B-oQ4e-fp16-mtp
Qwen3.5-9B-oQ4e-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 2026-10-25: Re-quantized with oMLX v0.7.3.dev2. Please re-download if you have an earlier copy.
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9.7B
21.4 GB on disk
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Repo makeup
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.safetensors7.1 GB · 100%
Parameter types
How the weights are stored.
U329.2B · 95%
Base models
Model card
From the Hugging Face model README
Qwen3.5-9B-oQ4e-fp16-mtp
[!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 5.920 bits/weight for the complete checkpoint.
Quantization and Bit Distribution
| Storage format | Logical weights | Share of total | Tensor storage | Effective bits/weight |
|---|---|---|---|---|
| Affine 4-bit, group 64 | 8.499B | 88.044% | 4.452 GiB | 4.50 |
| Affine 5-bit, group 64 | 0.563B | 5.830% | 0.360 GiB | 5.50 |
| Affine 6-bit, group 64 | 0.101B | 1.043% | 0.076 GiB | 6.50 |
| FP16 | 0.035B | 0.359% | 0.065 GiB | 16.00 |
| FP32 | 0.456B | 4.724% | 1.699 GiB | 32.00 |
| Total | 9.653B | 100% | 6.652 GiB | 5.920 |
Storage Breakdown
| Component | Logical weights | Storage |
|---|---|---|
| Language model | 8.954B | 5.134 GB / 4.781 GiB |
| Vision | 0.456B | 1.824 GB / 1.699 GiB |
| MTP head | 0.243B | 0.185 GB / 0.172 GiB |
| Total | 9.653B | 7.143 GB / 6.652 GiB |
- Library
- mlx
- Type
- qwen3_5
- Created
- Jul 24, 2026
- Updated
- Oct 25, 2026