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QwQ-32B is a 32 billion parameter language model achieves comparable performance to DeepSeek-R1 with 671 billion parameters, using reinforcement learning for scaling (qwenlm.github.io)

submitted 1 week ago* (last edited 1 week ago) by yogthos@lemmy.ml to c/technology@lemmy.ml

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[–] BaconIsAVeg@lemmy.ml 3 points 1 week ago

Even the 7B version of Deepseek-R1 thinks less, doesn't second guess itself, and comes back with the correct answer:

<think>
First, I need to compare the two numbers: 9.21 and 9.1999999999.

Both numbers have the same integer part, which is 9.

Next, I'll look at their decimal parts:

- The first number has a decimal part of 0.21.
- The second number has a decimal part of approximately 0.20 (since there are many trailing nines after the decimal point).

To make an accurate comparison, it's helpful to express both decimals with the same number of places.

For 9.21, I can write it as 9.210...

For 9.1999999999, it remains approximately 9.20 when considering several decimal places due to the trailing nines.

After comparing both numbers up to a reasonable number of decimal places, it's clear that 9.21 is greater than 9.1999999999.
</think>