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dawncr0w/MiniMax-M2.7-ultra-uncensored-heretic-oQ4-MLX
MiniMax-M2.7-ultra-uncensored-heretic-oQ4-MLX is a text generation model from dawncr0w. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as other.
This repository contains an oMLX oQ4 mixed-precision MLX quantization of llmfan46/MiniMax-M2.7-BF16-ultra-uncensored-heretic.
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From the Hugging Face model README
This repository contains an oMLX oQ4 mixed-precision MLX quantization of
llmfan46/MiniMax-M2.7-BF16-ultra-uncensored-heretic.
This build follows the artifact lineage from
llmfan46/MiniMax-M2.7-ultra-uncensored-heretic-GGUF.
oMLX oQ quantization operates on MLX/safetensors checkpoints rather than GGUF
files, so this build uses the corresponding BF16 safetensors checkpoint and
excludes the existing GGUF quantizations.
| Field | Value |
|---|---|
| Method | oMLX oQ mixed-precision MLX |
| Quantization | oQ4 |
| Model type | minimax_m2 |
| Group size | 64 |
| Quantization mode | affine |
| Effective plan | 4.57 bpw |
| Layer policy entries | 250 |
| Output shards | 24 safetensors |
| Output size | 121.7 GiB |
huggingface-cli download dawncr0w/MiniMax-M2.7-ultra-uncensored-heretic-oQ4-MLX \
--local-dir MiniMax-M2.7-ultra-uncensored-heretic-oQ4-MLX
Then load it with an MLX-LM/oMLX runtime that supports minimax_m2:
python -m mlx_lm.generate \
--model MiniMax-M2.7-ultra-uncensored-heretic-oQ4-MLX \
--prompt "Write a short greeting." \
--max-tokens 64
Local validation completed with the bundled oMLX runtime on macOS:
model discovery: passed
model type: minimax_m2
quantization: bits=4, group_size=64, mode=affine
shards: 24
llmfan46/MiniMax-M2.7-BF16-ultra-uncensored-hereticllmfan46/MiniMax-M2.7-ultra-uncensored-heretic-GGUFcookietimeh/MiniMax-M2.7-BF16-ultra-uncensored-heretic-mlx-4BitUpstream model card license tag: other.