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@ -55,8 +55,8 @@ I spent some time experimenting with a variety of custom editing formats
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for QwQ.
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In particular, I tried to parse the QwQ response and discard the long
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sections of "thinking" and retain only the "final" solution.
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While I was able to successfully tease these sections apart,
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it did not translate to any significant improvement in the benchmarking results.
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None of this custom work seemed to translate
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into any significant improvement in the benchmark results.
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## Results
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@ -128,12 +128,13 @@ document.getElementById('qwqSearchInput').addEventListener('keyup', function() {
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As discussed in a recent blog post,
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[details matter with open source models](https://aider.chat/2024/11/21/quantization.html).
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For clarity, I benchmarked against OpenRouter's endpoints for
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For clarity, new benchmark runs for this article were
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performed against OpenRouter's endpoints for
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QwQ 32B Preview and Qwen 2.5 Coder 32B Instruct.
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For the other models, I went direct to their provider's APIs.
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For the other models, the benchmark was direct to their providers' APIs.
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Having recently done extensive testing of OpenRouter's Qwen 2.5 Coder 32B Instruct,
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I feel comfortable using it. I blocked the provider Mancer due to small
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context window.
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Having recently done extensive testing of OpenRouter's Qwen 2.5 Coder 32B Instruct endpoint,
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it seems reliable.
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The provider Mancer was blocked due to the small context window it provides.
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For QwQ 32B Preview, I blocked Fireworks because of its small context window.
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For QwQ 32B Preview, Fireworks was blocked because of its small context window.
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