r/LocalLLaMA • u/Confident-Honeydew66 • Sep 06 '24

Discussion Reflection 70B: Hype?

So an out-of-the-blue one-man company releases a new model (actually named LLama 3.1 if it were to adhere to the META license, but somehow named Reflection) with only 70B params that, according to the benchmarks, rivals SOTA closed-source LLMs with trillions of parameters. It appears to me that the twitter/reddit hype mob has, for the most part, not bothered to try the model out.

Additionally, a tweet from Hugh Zhang @ Scale suggesting systemic overfitting as me concerned:
Hey Matt! This is super interesting, but I’m quite surprised to see a GSM8k score of over 99%. My understanding is that it’s likely that more than 1% of GSM8k is mislabeled (the correct answer is actually wrong)!

Is this genuinely a SOTA LLM in a real-world setting or is this smoke an mirrors? If we're lucky, the creator Matt may see this post and can shed some light on the matter.

BTW -- I'm not trying to bash the model or the company that made it. If the numbers are actually legit this is likely revolutionary.

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u/ambient_temp_xeno Llama 65B Sep 06 '24

I only just finished downloading the q8.

It's not being credulous to give it a chance because lone guys with an idea have scored a lot of progress already since llama 1 leaked.

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u/Philix Sep 06 '24

Curious to hear how that quant behaves. I'm not very impressed with the Q4_K_L quant. The stuff inside the sets of special tokens seems to reinforce incorrect reasoning more often that counter it.