Update docs/articles_en/openvino-workflow/model-optimization-guide/we…

…ight-compression.rst Co-authored-by: Tatiana Savina <[email protected]>
l-bat · Oct 21, 2024 · f9909b5 · f9909b5
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@@ -238,6 +238,7 @@ trade-offs after optimization:
   There are three modes: INT8_ASYM, INT8_SYM, and NONE, which retains
   the original floating-point precision of the model weights (``INT8_ASYM`` is default value).
 
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 **Use synthetic data for LLM weight compression**
 
 It is possible to generate a synthetic dataset using the `nncf.data.generate_text_data` method for