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Qwen3.5-122B-A10B-oQ4e-fp16-mtp
scottlowry/Qwen3.5-122B-A10B-oQ4e-fp16-mtp
Qwen3.5-122B-A10B-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 2026-11-11: Re-quantized with oMLX v0.7.4.dev1. Please re-download if you have an earlier copy.
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125B
75.1 GB on disk
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.safetensors75.1 GB · 100%
Parameter types
How the weights are stored.
U32125B · 100%
Base models
Model card
From the Hugging Face model README
Qwen3.5-122B-A10B-oQ4e-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 4.802 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 | 118.380B | 94.639% | 62.016 GiB | 4.50 |
| Affine 8-bit, group 128 | 0.462B | 0.370% | 0.444 GiB | 8.25 |
| Affine 8-bit, group 64 | 5.733B | 4.583% | 5.673 GiB | 8.50 |
| FP16 | 0.060B | 0.048% | 0.111 GiB | 16.00 |
| FP32 | 0.451B | 0.361% | 1.681 GiB | 32.00 |
| Total | 125.086B | 100% | 69.925 GiB | 4.802 |
Storage Breakdown
| Component | Logical weights | Storage |
|---|---|---|
| Language model | 122.112B | 71.785 GB / 66.855 GiB |
| Vision | 0.451B | 1.805 GB / 1.681 GiB |
| MTP head | 2.524B | 1.492 GB / 1.389 GiB |
| Total | 125.086B | 75.081 GB / 69.925 GiB |
- Library
- mlx
- Type
- qwen3_5_moe
- Created
- Jul 24, 2026
- Updated
- Nov 11, 2026