DeepSeek-V4.1-Flash-oQ3e-mtp

Updated 2026-10-12: Re-quantized with Improved oQe Quantization and 4-bit Engram tables. Please re-download if you have an earlier copy.

This model was quantized using oQ (oMLX v0.7.1) mixed-precision quantization with Improved oQe Quantization (jundot/omlx#4385).

A mixed-precision MLX checkpoint of deepseek-ai/DeepSeek-V4.1-Flash, a multimodal mixture-of-experts model with 552B backbone parameters, a Causal Encoder-Decoder layout, Compressed Sparse Attention 2 (CSA2), Engram conditional memory and DSpark speculative decoding. It includes the language model, the Engram tables, the vision encoder, the multimodal aligner and the DSpark MTP weights.

The effective average is 3.629 bits/weight excluding the Engram tables, or 3.982 bits/weight for the complete checkpoint.

Quantization and Bit Distribution

oQ3e allocates bits by measured layer sensitivity, then rounds each group with an importance matrix (1024 samples x 512 tokens) and a weighted least-squares refit of its scale and bias. Below oQ4, the Engram tables stay at 4 bits and are left out of the bit budget, because oMLX can serve them from SSD instead of memory.

Storage format Logical weights Share of total Tensor storage Effective bits/weight
Affine 3-bit, group 64 543.582B 71.224% 221.484 GiB 3.50
Affine 4-bit, group 64 1.953B 0.256% 1.023 GiB 4.50
MXFP4, group 32 13.590B 1.781% 6.724 GiB 4.25
Affine 6-bit, group 64 1.258B 0.165% 0.952 GiB 6.50
Affine 8-bit, group 64 1.988B 0.261% 1.968 GiB 8.50
MXFP8, group 32 0.779B 0.102% 0.748 GiB 8.25
BF16 3.399B 0.445% 6.332 GiB 16.00
FP32 0.042B 0.006% 0.158 GiB 32.00
Engram affine 4-bit, group 32 196.614B 25.762% 114.444 GiB 5.00
Total 763.205B 100% 353.832 GiB 3.982

Storage Breakdown

Component Logical weights Storage
Language backbone 551.881B 248.023 GB / 230.989 GiB
Engram tables 196.614B 122.884 GB / 114.444 GiB
Vision encoder 0.485B 0.971 GB / 0.904 GiB
MTP head 14.225B 8.047 GB / 7.495 GiB
Total 763.205B 379.925 GB / 353.832 GiB

License

MIT, following the source model. See LICENSE.

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