from minima import MinimaModel

model = MinimaModel.from_pretrained("ProCreations/minima", device="cpu")
outputs = model(input_ids=input_ids, attention_mask=attention_mask)

CPU inference defaults to a one-time FBGEMM dynamic-int8 packing of each ternary matrix. Set MINIMA_CPU_BACKEND=i2s for the direct packed 2-bit AVX2/ARM NEON kernel.

Encoder quality

The six-task downstream gate compares matched 800-step fine-tunes. Packed ternary matrices stay frozen; only the task head and non-matrix parameters adapt. Required relative mean: >= 96%.

Task	FP32	Minima	Capped retention
SST2	0.79817	0.75459	94.54%
QNLI	0.60608	0.59491	98.16%
MNLI	0.40621	0.38074	93.73%
MRPC	0.81694	0.81873	100.00%
STSB	0.54812	0.40660	74.18%
COLA	0.11382	0.05927	52.07%
Mean			85.45%

License

The weights remain subject to the LFM Open License v1.0 shipped in this repository. The Minima runtime code is MIT licensed.