Instructions to use MrMofer/MiniMax-H3-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use MrMofer/MiniMax-H3-MLX-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MiniMax-H3-MLX-8bit MrMofer/MiniMax-H3-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Upload folder using huggingface_hub
Browse files
README.md
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@@ -57,6 +57,21 @@ The pipeline needs only this repository: `-c` supplies the VAEs, text encoder an
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`-t` points at the quantized DiT. Native canvas is a 768px short edge (e.g. 1344x768 16:9);
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smaller canvases are off-distribution and degrade quickly.
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## Model layout
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| Path | Role | Representation |
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third-party serve-pack conversion (inert `condition_proj`, exploding text-encoder activations),
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not to the pipeline; see `PATCHES.md` and the report in `BIG_GOAL.md` of the source workspace.
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## Example outputs
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Contact sheet above, prompt *"a red fox leaps over a mossy log in a misty forest"*, seed 42.
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Columns are time (0.4s → 3.0s); rows are the three validated builds: 8-bit 16-step, 8-bit +
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Turbo LoRA, and 4-bit + Turbo LoRA at native 1344x768.
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Sample clip (played inline by the Hub) — the 8-bit build this repository ships:
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| File | Build | Settings |
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| `examples/v3_768x448_16steps_8bit.mp4` | 8-bit (this repo) | 768x448, 16 steps, 33.9 min |
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The turbo variants are not published as video yet (a 1344x768 4-bit + Turbo LoRA re-render with a
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fixed mux is planned); their frames are rows 2-3 of the contact sheet.
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## Turbo LoRA
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`turbo_lora_4step_ema.safetensors` is the 4-step EMA distilled LoRA from
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`-t` points at the quantized DiT. Native canvas is a 768px short edge (e.g. 1344x768 16:9);
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smaller canvases are off-distribution and degrade quickly.
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## Example outputs
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Red fox on a mossy log in a misty forest (prompt above, seed 42). Columns are time (0.4s → 3.0s);
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rows: 8-bit 16-step, 8-bit + Turbo LoRA, 4-bit + Turbo LoRA at 1344x768.
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Example clip (played inline by the Hub):
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| File | Build | Settings |
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| `examples/v3_768x448_16steps_8bit.mp4` | 8-bit (this repo) | 768x448, 16 steps, 33.9 min |
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Turbo variants: see rows 2-3 above (a 1344x768 4-bit video re-render is planned).
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## Model layout
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| Path | Role | Representation |
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third-party serve-pack conversion (inert `condition_proj`, exploding text-encoder activations),
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not to the pipeline; see `PATCHES.md` and the report in `BIG_GOAL.md` of the source workspace.
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## Turbo LoRA
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`turbo_lora_4step_ema.safetensors` is the 4-step EMA distilled LoRA from
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