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- .gitattributes +2 -0
- README.md +17 -12
- examples/v3_768x448_16steps_8bit.mp4 +3 -0
- images/comparative.png +3 -0
.gitattributes
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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samples/v3_768x448_16steps_no-turbo.mp4 filter=lfs diff=lfs merge=lfs -text
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samples/v4_768x448_turbo_8steps.mp4 filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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samples/v3_768x448_16steps_no-turbo.mp4 filter=lfs diff=lfs merge=lfs -text
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samples/v4_768x448_turbo_8steps.mp4 filter=lfs diff=lfs merge=lfs -text
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examples/v3_768x448_16steps_8bit.mp4 filter=lfs diff=lfs merge=lfs -text
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images/comparative.png filter=lfs diff=lfs merge=lfs -text
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README.md
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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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mlx-serve pack note). By downloading you accept those terms.
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- **Port code**: Apache-2.0 (PipeNetwork/minimax-h3-mlx).
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- **Turbo LoRA**: Apache-2.0 (larryvrh/MiniMax-H3-Turbo-Lora).
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## Samples
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Both clips: prompt *"a red fox leaps over a mossy log in a misty forest"*, seed 42, M4 Max 68.7 GB.
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| File | Build | Settings | Visual verdict |
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| [v3_768x448_16steps_no-turbo.mp4](samples/v3_768x448_16steps_no-turbo.mp4) | 8-bit (this repo) | 768x448, 16 steps (15 forwards) | 9/10 — coherent fox walking a mossy log, stable background |
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| [v4_768x448_turbo_8steps.mp4](samples/v4_768x448_turbo_8steps.mp4) | 8-bit + Turbo LoRA (merged) | 768x448, 8 steps (7 forwards) | "impressive for a 4-step turbo" — high confidence |
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The 1344x768 4-bit turbo render (95% visual on frames) is not included: its local mp4 mux failed
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(script bug, not the model) and the re-render was paused; frames are archived locally.
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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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mlx-serve pack note). By downloading you accept those terms.
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- **Port code**: Apache-2.0 (PipeNetwork/minimax-h3-mlx).
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- **Turbo LoRA**: Apache-2.0 (larryvrh/MiniMax-H3-Turbo-Lora).
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examples/v3_768x448_16steps_8bit.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:52868a877d04b6ea48db9edd8acce36b759143be8def6c053053637e60e3fe6e
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size 1336657
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images/comparative.png
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Git LFS Details
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