Report: Not working

Coding tricks and the Upgraded CPU space just aren’t enough. I think it’ll be difficult to run the configuration you’re looking for without GPU space—and not just any GPU, but a relatively high-end one… The reason the previous Gemini API worked, even if the model wasn’t exactly what you wanted, is because there’s a GPU on the other side of the network—one that’s even more powerful than what I mentioned above. (Since it’s Google, it might be a TPU, but it’s pretty much the same thing. It’s not a CPU.) Even if you train a single ant, you can’t make it strong enough to beat an elephant… Maybe “ant” is an exaggeration—let’s say it’s strong enough to handle a mouse or a squirrel… In terms of HF, Zero GPU Spaces costs $9 a month and lets you use it for 25 minutes a day; it’s part of the high-performance GPU Spaces category, but since there’s a daily GPU usage limit (quota), it’ll be inconvenient if you plan to use it for extended periods at once. Also, coding on Zero GPU Spaces is trickier and more finicky than on regular GPU Spaces. Still, since it guarantees performance and is relatively inexpensive, it’s ideal for prototyping or creating demos to show others, but it has too many restrictions if you just want to “use it” for general purposes. GPUs are expensive in reality. While there are occasionally free usage quotas provided for research support or corporate demos, these are extremely rare exceptions. Most people who want to use OSS AI end up buying expensive consumer-grade GPUs for their personal PCs. There are even a few who purchase enterprise-grade GPUs—which are several times more expensive—for personal use. There are several well-known services, including HF, that offer paid rentals by the hour. In any case, “free” and “unrestricted” access to GPUs—barring scams—is virtually nonexistent. The only exception might be the 16GB VRAM Tesla T4 GPU on Google Colab Free, which you can use for a few dozen minutes a day… In short, the bottom line is that “what stands in the way of your (and others’) implementation goals is the financial cost.”