Nathan Lambert 更新管线追踪本地模型
A gap that has been fixed in our methodology that highlighted a decline was not including local models (GGUF, AWQ, ONNX, etc). Earlier, these were far harder to
我们方法论中一个曾凸显下滑的缺口已修复，那就是没有纳入本地模型（GGUF、AWQ、ONNX 等）。早前这些模型更难追踪，更接近舍入误差。如今它们正在激增。我们已更新管线来追踪这些模型！
查看原帖We've been monitoring a decline in HuggingFace downloads across the top open LLMs we track for interconnects. It looks like there was a slight change in counting of downloads, as we saw a ~30% download rate drop for many top models, but this is continuing over time. What else do people think it may be?
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A gap that has been fixed in our methodology that highlighted a decline was not including local models (GGUF, AWQ, ONNX, etc). Earlier, these were far harder to track and closer to a rounding error. Now, they're surging. We updated our pipeline to track these models! https://t.co/5k2RRcRnk5