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Add public Step-3.7 variant links

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  1. README.md +7 -0
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  No fine-tuning, distillation, or retraining was applied. The upstream StepFun checkpoint was downloaded and verified locally, then eligible text and vision `.weight` tensors were converted with MLX `mode="mxfp4"` quantization. Tokenizer, chat template, custom Step3.7 Python modules, and non-quantized control tensors are preserved from the source release.
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  ## Compatibility Status
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  This upload is a standard MLX MXFP4 safetensors bundle, but it is not yet a drop-in `mlx_lm.load(...)` or `mlx_vlm.load(...)` model.
 
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  No fine-tuning, distillation, or retraining was applied. The upstream StepFun checkpoint was downloaded and verified locally, then eligible text and vision `.weight` tensors were converted with MLX `mode="mxfp4"` quantization. Tokenizer, chat template, custom Step3.7 Python modules, and non-quantized control tensors are preserved from the source release.
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+ ## Public osmAPI Step-3.7-Flash Variants
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+ | Variant | Repository | Format | Notes |
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+ |---|---|---|---|
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+ | MXFP4 MLX | [osmapi/Step-3.7-Flash-MXFP4-mlx](https://huggingface.co/osmapi/Step-3.7-Flash-MXFP4-mlx) | MLX MXFP4 safetensors | Public 4-bit microscaling tensor bundle |
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+ | OptiQ 3.7bpw MLX | [osmapi/Step-3.7-Flash-OptiQ-3.7bpw-mlx](https://huggingface.co/osmapi/Step-3.7-Flash-OptiQ-3.7bpw-mlx) | MLX affine mixed-precision safetensors | Public 3.7 BPW OptiQ tensor bundle |
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  ## Compatibility Status
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  This upload is a standard MLX MXFP4 safetensors bundle, but it is not yet a drop-in `mlx_lm.load(...)` or `mlx_vlm.load(...)` model.