| ▲ | SillyUsername an hour ago | |||||||
Interesting. There are quite a few forks of llama.cpp where streaming weights has been successful, or special quants / decompressing before processing. - Bonsai Qwen 3.8 27B - Strata - Pulsar - This... I just wish upstream Llama.cpp would accept the PRs faster - they build multiple times per day, but their PR backlog was 1.7K last I checked, which is a ridiculously impractical number to review with a few volunteers. I watched the Qwen 3.8 Bonsai feature and it took over 3 weeks from creation to be reviewed, and even then it doesn't include the patches for bugs, that they fixed downstream and simply gave up pushing to upstream because the process was so laborious. So they end up with delayed or missing model support, and half working implementations like Bonsai's Hadamard Folding, and new models lose out on this kind of optimisation. I suppose this is fine if you intend your project to be the reference project for forks and encourage this kind of specialisation, but I don't think that's intentional. At least I can use llamaswap to juggle the inference engines and models on the fly, and abstract the fact I need to install 3 or 4 different ones. | ||||||||
| ▲ | yjftsjthsd-h 29 minutes ago | parent | next [-] | |||||||
> which is a ridiculously impractical number to review with a few volunteers. How would that get fixed? I'm skeptical of lowering the standards of review. I suppose if you have some source of trusted volunteers...? | ||||||||
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| ▲ | thatsabadlook 43 minutes ago | parent | prev [-] | |||||||
I wouldn't judge a project by not slamming in 1.7k prs a week. What a nightmare. How many of those prs are pure slop or not even worth looking at? I would wager 95% at a minimum | ||||||||
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