Phi-3-mini-4k-instruct-LASER

model used: microsoft/Phi-3-mini-4k-instruct
LASER scripts used: rmt_laser.py,rmt_laser_snr.py,rmt_laser_snr_math.py from laserRMT

Results

perplexity is reduced comparing to base model, waiting for HF eval results - due to trust_remote_code=True it won't happen soon.

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Model size

3.82B params

Tensor type

BF16

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Text Generation

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Fun with LASERS (https://github.com/cognitivecomputations/laserRMT) • 2 items • Updated May 9, 2024