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README.md

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----
-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](https://huggingface.co/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](https://github.com/d-matrix-ai/dmx-mltools) first.
-
-```sh
-pip install dmx-mltools
-```
-
-The following is an example model and its evaluation.  
-
-```python
-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