OpenAI-GPT-OSS-120B scores on livecodebench

Posted by Used-Negotiation-741@reddit | LocalLLaMA | View on Reddit | 6 comments

Has anyone tested it?Recently I locally deployed the 120b model but found that the score is really low(about 60 on v6),and I also found that the reasoning: medium setting is better than reasoning: high, it is wired.(the official scores of it have not been released yet).
So next I check the results on artificialanalysis(plus the results on kaggle), and it shows 87.8 on high setting and 70.1 on low setting, I reproduce it with the livecodebench-prompt on artificialanalysis ,and get 69 on medium setting, 61 on high setting, 60 on low setting(315 questions of livecodebench v5,pass@1 of 3 rollout,Fully aligned with the artificialanalysis settings)
Can anyone explain?the tempeture is 0.6, top-p is 1.0, top-k is 40, max_model_len is 128k.(using the vllm-0.11.0 official docker image)
I've seen many reviews saying this model's coding ability isn't very strong and it has severe hallucinations. Is this related?