Re:Show HN: Privy - Open-source, privacy oriented alternativ...
by ParetoOptimal on Wednesday January 17, 2024 @05:13PM
(#39034299)
Typically when a 6.7B model or similar beats a 33B model it's not really true in my experience. At the least I have very a high burden of proof before believing it.
Re:Show HN: Privy - Open-source, privacy oriented alternativ...
by austhrow743 on Wednesday January 17, 2024 @05:32PM
(#39034520)
Are you able explain what the charts mean? Only one of the three has wavecoder at the top.
Re:Show HN: Privy - Open-source, privacy oriented alternativ...
by ignoramous on Wednesday January 17, 2024 @07:19PM
(#39035619)
Those charts show pass@k metric (expectation at least k generated samples are correct out of n) on OpenAI and Octopack problem evals for code.
WaveCoder: https://arxiv.org/abs/2312.14187 (section 3.2)
Re:Show HN: Privy - Open-source, privacy oriented alternativ...
by srikanth235 on Wednesday January 17, 2024 @07:52PM
(#39035968)
While testing internally, Mistral worked well. But these models are just starting points. Will add support for the models WaveCoder-Ultra-6.7B, WizardCoder-33B, Magiccoder-S-DS-6.7B, etc soon.
> Some of the popular LLMs that we recommend are: Mistral, CodeLLama
1. Surprised Mistral (Mixtral?) is recommended for code generation / explanation alongside a fine-tuned CodeLlama?
2. Recent human evals put Microsoft's WaveCoder-Ultra-6.7B (SoTA w/ GPT4) at the top of the rankings with WizardCoder-33B, Magiccoder-S-DS-6.7B trailing: https://twitter.com/TeamCodeLLM_AI/status/174755128687745064...