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Changelog

This documents the main changes to the candle crate.

v0.3.1 - Unreleased

Added

Modified

v0.3.0 - 2023-10-01

Added

Added the Mistral 7b v0.1 model 983.
Quantized version of the Mistral model 1009.
Add the gelu-erf op and activation function 969.
Add the mixformer/phi-v1.5 model 930.
Add the sclice-scatter op 927.
Add the Wuerstchen diffusion model 911.

Modified

Support for simd128 intrinsics in some quantized vecdots 982.
Optimize the index-select cuda kernel 976.
Self-contained safetensor wrappers 946.

v0.2.2 - 2023-09-18

Added

Support for top_p sampling 819.
T5 model including decoding 864.
1-d upsampling 839.

Modified

Bugfix for conv2d 820.
Support tensor based indexing using .i 842.

v0.2.1 - 2023-09-11

Added

Add some RNNs (GRU and LSTM) in candle-nn 674, 688.
gguf v2 support 725.
Quantized llama example in Python using the pyo3 api 716.
candle-nn layer for conv2d-transposed 760.
Add the Segment-Anything Model (SAM) as an example 773.
TinyViT backbone for the segment anything example 787.
Shape with holes support 770.

Modified

Dilations are now supported in conv-transpose2d. 671.
Interactive mode for the quantized model 690.
Faster softmax operation 747.
Faster convolution operations on CPU and CUDA via im2col 802.
Moving some models to a more central location 796.

v0.2.0 - 2023-08-30

Added

Add the powf op 664.
Stable Diffusion XL support 647.
Add the conv-transpose2d op 635.
Refactor the VarBuilder api 627.
Add some quantization command 625.
Support more quantized types, e.g. Q2K, Q4K, Q5K... 586.
Add pose estimation to the yolo example 589.
Api to write GGUF files 585.
Support more quantization types 580.
Add EfficientNet as an example Computer Vision model 572.
Add a group parameter to convolutions 566.
New dtype: int64 563.
Handling of the GGUF file format. 559.

v0.1.2 - 2023-08-21