gpt-j-6b / README.md
d-matrix
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metadata
language:
  - en
tags:
  - pytorch
  - causal-lm
license: apache-2.0
datasets:
  - EleutherAI/pile

This is a d-Matrix functional reference of the EleutherAI/gpt-j-6b model.

The reference provides the following functional configurations:

Configuration Explanation
BASELINE a reference functionally equivalent to the original model
BASIC all linear algebraic operands quantized to BFP16-64, and all other operations transformed to approximated kernel simulations

Usage

Install d-Matrix ML Tools first.

pip install dmx-mltools

The following is an example model and its evaluation.

from mltools.dmx import pipeline

pipe = pipeline(
    task="text-generation",
    model="d-matrix/gpt-j-6b",
    dmx_config="BASELINE",  # see above for other variants
)

results = pipe.evaluate(
    metric="d-matrix/dmx_perplexity",
    dataset="wikitext",
    dataset_version="wikitext-2-raw-v1",
)

Evaluation results