Comments (3)
Hi
Here is a list of things we have in mind in the near future:
Basically it's about having most of the hot topics covered in the lib and improving DX in general !
Any help is welcome.
Also if you want to contribute, it doesn't necessarily means contributing to core directly.
People have mentionned creating youtube videos. Creating pet projects and trying to voice all the things which are not nice/could use some improvement in usability.
Docs and the book could use some help too !
Does this answer your question ?
from candle.
I'm not skilled but it'd be nice if someone add SDXL support for the stable diffusion example.
from candle.
@LaurentMazare is on it. He's off this week, which means he only works like 4h a day :).
I'm going to close this so we can keep track of actually opened issues right now.
from candle.
Related Issues (20)
- Can't loop over model implementation based off examples more than N times (7-20+ it ends up breaking) HOT 12
- Update Installation Page for Windows Requirements
- candle tensor operations are bit slower than pytorch tensor operations HOT 9
- Tensor copy from noncontiguous tensor still make noncontiguous tensor HOT 2
- bias is not randomly initialized on metal HOT 4
- Flash Attention not working on CUDA 12.1 HOT 10
- Quantized much slower than llama.cpp with same model and settings... HOT 22
- [help] how to update a portion of a long tensor HOT 5
- The current `squeeze` and `unsqueeze` implementations may be degreasing in some EXAMPLES. HOT 2
- .sum() with a u8 tensor overflows after 255 HOT 1
- support for json (or other?) grammar? HOT 1
- Support multimodal LLMs? HOT 2
- Latest tensor squeeze impl make cuda matmal fail HOT 13
- Issue Labelling for Good First Issues
- 1.58 bit implementation HOT 5
- [help] Run gemma example using the command line on my mac, got some runtime errors. HOT 2
- Avoiding `.contiguous` call before `matmul` HOT 12
- How to use `topk`?
- best way to get `dims()` from a model?
- YoloV9 ONNX: unsupported op_type Identity
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