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# Changelog
This documents the main changes to the `candle` crate.
## v0.2.2 - Unreleased
### Added
- Support for `top_p` sampling
[819](https://github.com/huggingface/candle/pull/819).
### Modified
## v0.2.1 - 2023-09-11
### Added
- Add some RNNs (GRU and LSTM) in `candle-nn`
[674](https://github.com/huggingface/candle/pull/674),
[688](https://github.com/huggingface/candle/pull/688).
- gguf v2 support
[725](https://github.com/huggingface/candle/pull/725).
- Quantized llama example in Python using the pyo3 api
[716](https://github.com/huggingface/candle/pull/716).
- `candle-nn` layer for conv2d-transposed
[760](https://github.com/huggingface/candle/pull/760).
- Add the Segment-Anything Model (SAM) as an example
[773](https://github.com/huggingface/candle/pull/773).
- TinyViT backbone for the segemnt anything example
[787](https://github.com/huggingface/candle/pull/787).
- Shape with holes support
[770](https://github.com/huggingface/candle/pull/770).
### Modified
- Dilations are now supported in conv-transpose2d.
[671](https://github.com/huggingface/candle/pull/671).
- Interactive mode for the quantized model
[690](https://github.com/huggingface/candle/pull/690).
- Faster softmax operation
[747](https://github.com/huggingface/candle/pull/747).
- Faster convolution operations on CPU and CUDA via im2col
[802](https://github.com/huggingface/candle/pull/802).
- Moving some models to a more central location
[796](https://github.com/huggingface/candle/pull/796).
## v0.2.0 - 2023-08-30
### Added
- Add the powf op
[664](https://github.com/huggingface/candle/pull/664).
- Stable Diffusion XL support
[647](https://github.com/huggingface/candle/pull/647).
- Add the conv-transpose2d op
[635](https://github.com/huggingface/candle/pull/635).
- Refactor the VarBuilder api
[627](https://github.com/huggingface/candle/pull/627).
- Add some quantization command
[625](https://github.com/huggingface/candle/pull/625).
- Support more quantized types, e.g. Q2K, Q4K, Q5K...
[586](https://github.com/huggingface/candle/pull/586).
- Add pose estimation to the yolo example
[589](https://github.com/huggingface/candle/pull/589).
- Api to write GGUF files
[585](https://github.com/huggingface/candle/pull/585).
- Support more quantization types
[580](https://github.com/huggingface/candle/pull/580).
- Add EfficientNet as an example Computer Vision model
[572](https://github.com/huggingface/candle/pull/572).
- Add a group parameter to convolutions
[566](https://github.com/huggingface/candle/pull/566).
- New dtype: int64
[563](https://github.com/huggingface/candle/pull/563).
- Handling of the GGUF file format.
[559](https://github.com/huggingface/candle/pull/559).
## v0.1.2 - 2023-08-21
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