Generation Quality Optimization Guide
A hands-on approach to improve the quality of Tifa-DeepsexV2-7b-MGRPO generation:
- Fine tuning of parameters: Adjusting top_p=0.95 and top_k=60 according to the article's recommendations can yield desirable results. For creative writing, try temperature=0.7 to increase variety; logical reasoning tasks should be set to 0.3 to enhance certainty
- Tips Engineering Tips: In role-playing scenarios, use system messages to define character traits (e.g., "You are a medieval knight"), and maintain dialog history over multiple rounds with the .append() method.
- Reprocessing methods: Use Beam Search (num_beams=3) combined with an n-gram penalty (no_repeat_ngram_size=3) on the generated text to avoid duplicates.
For long text generation, it is recommended that max_length be set to 2000 or more, with sliding window technology. If you need to generate more than 1 million words of context, you need to process it in segments and pass theMGRPO algorithmThe memory mechanism is consistent, as described in the Technical Features section.
This answer comes from the articleTifa-DeepsexV2-7b-MGRPO: modeling support for role-playing and complex dialogues, performance beyond 32b (with one-click installer)The
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