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apetersson/DeepSeek-V4-Flash-0731-Abliterated-MLX-Mixed-2bit-3bit-g64
DeepSeek-V4-Flash-0731-Abliterated-MLX-Mixed-2bit-3bit-g64 is a text generation model from apetersson. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as mit.
Preliminary experimental release. The full paired refusal and capability evaluation is still in progress.
Downloads · 30 days
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.safetensors107 GB · 100%
How the weights are stored.
U32283B · 100%
From the Hugging Face model README
Preliminary experimental release. The full paired refusal and capability evaluation is still in progress.
This is a mixed-precision MLX quantization of
apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8,
designed to run on a 128 GB Apple Silicon system. Weight files occupy about
99.46 GiB.
| Tensor class | Storage |
|---|---|
| Routed expert gate/up | affine 2-bit, group size 64, importance weighted |
| Routed expert down | affine 3-bit, group size 64, importance weighted |
| Attention projections | MXFP8, group size 32 |
| Shared experts | MXFP8, group size 32 |
| Output head | MXFP8, group size 32 |
| Embeddings, routers, norms and auxiliary tensors | protected BF16/FP32 |
The importance matrix was imported from
jedisct1/DeepSeek-V4-Flash-imatrix-aligned.
The 129 routed modules have architecture-compatible dimensions, but this is an
aligned transfer from the earlier DeepSeek-V4-Flash checkpoint, not a fresh
0731-native calibration run.
This variant omits the attached speculative weights and sets
num_nextn_predict_layers=0. It is intended for standard trunk generation;
it is not a DSpark release. The preferred local runtime is
oMLX with DeepSeek-V4 support.
This is an aggressive mixed 2/3-bit quantization. Quality should be measured against both the abliterated FP8 checkpoint and the clean quantized control. Abliteration can affect behavior beyond refusals and does not guarantee a particular response.
The upstream DeepSeek-V4-Flash-0731 weights are MIT licensed. This repository retains that license and documents both the abliteration and quantization provenance above.