Instructions to use kszlachcikowski/MiniMax-M3-oQ4e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kszlachcikowski/MiniMax-M3-oQ4e with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download kszlachcikowski/MiniMax-M3-oQ4e --local-dir MiniMax-M3-oQ4e
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
MiniMax-M3-oQ4e
This model was quantized using oQ (oMLX v0.7.3) mixed-precision quantization.
The effective average is 4.648 bits/weight for the model weights, or 4.669 bits/weight including the DSpark draft.
Quantization and Bit Distribution
| Storage format | Logical weights | Share of total | Tensor storage | Effective bits/weight |
|---|---|---|---|---|
| Affine 4-bit, group 64 | 413.122B | 96.741% | 216.422 GiB | 4.50 |
| Affine 8-bit, group 64 | 13.007B | 3.046% | 12.871 GiB | 8.50 |
| BF16 | 0.866B | 0.203% | 1.614 GiB | 16.00 |
| FP32 | 0.045B | 0.010% | 0.167 GiB | 32.00 |
| Total | 427.040B | 100% | 231.073 GiB | 4.648 |
Storage Breakdown
| Component | Logical weights | Storage |
|---|---|---|
| Language model | 426.175B | 246.382 GB / 229.461 GiB |
| Vision | 0.866B | 1.731 GB / 1.612 GiB |
| DSpark draft (MTP) | 2.011B | 2.302 GB / 2.144 GiB |
| Total | 429.051B | 250.415 GB / 233.217 GiB |
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Model size
427B params
Tensor type
U32
Β·
BF16 Β·
F32 Β·
Hardware compatibility
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4-bit
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