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Yi-34B Model(s) Repetition Issues (alien.top)

submitted 11 months ago by HvskyAI@alien.top to c/localllama@poweruser.forum

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Messing around with Yi-34B based models (Nous-Capyabara, Dolphin 2.2) lately, I’ve been experiencing repetition in model output, where sections of previous outputs are included in later generations.

This appears to persist with both GGUF and EXL2 quants, and happens regardless of Sampling Parameters or Mirostat Tau settings.

I was wondering if anyone else has experienced similar issues with the latest finetunes, and if they were able to resolve the issue. The models appear to be very promising from Wolfram’s evaluation, so I’m wondering what error I could be making.

Currently using Text Generation Web UI with SillyTavern as a front-end, Mirostat at Tau values between 2~5, or Midnight Enigma with Rep. Penalty at 1.0.

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[–] Dry-Judgment4242@alien.top 1 points 11 months ago (1 children)

I pretty much gave up trying to make Yi based models actually use more then 4k context. And at that point I rather just use Lzlv 70b which is much smarter with better prose and knowledge.

The repetition issue pretty much makes the models unusable past the context where it breaks.

[–] HvskyAI@alien.top 1 points 11 months ago

Agreed - I’m personally using 70B models at 2.4BPW EXL2 quants, as well. They hold up great even at a small quantization as long as sampling parameters are set correctly, and the models are subjectively more pleasant in prose (Euryale 1.3 and LZLV both come to mind).

At 2.4BPW, they fit into 24GB of VRAM and inference is extremely fast, and EXL2 also appears to be very promising as a quantization method. I believe the potential upsides are yet to be fully leveraged.