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Minimalist ML framework for Rust

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Could you please show me an example where LLama-3 model used (better GGUF quantized) and initial prompt is more then 4096 tokens long? Or better 16-64K long (for RAG). Currently...

`RmsNorm` switches to faster implementation if tensor is contiguous: https://github.com/huggingface/candle/blob/82b641fd2752e3b14db6a9c91faef70e3329f3b5/candle-nn/src/layer_norm.rs#L174-L175 But it does not support backward pass: https://github.com/huggingface/candle/blob/82b641fd2752e3b14db6a9c91faef70e3329f3b5/candle-nn/src/ops.rs#L640 Maybe it's better to implement `ModuleT` rather than `Module` for `RmsNorm` and...

I made some modifications to the example code in llama3 for it to run locally, but I encountered an error during execution. I am using a MacBook with an M3...

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start)...

dependencies

OS: Windows 11 Model: [maidalun1020/bce-embedding-base_v1](https://huggingface.co/maidalun1020/bce-embedding-base_v1) Command: ```sh cargo run --features mkl --example bert --release -- --model-id maidalun1020/bce-embedding-base_v1 --use-pth ``` Candle(took ~15s): ```rust let s = std::fs::read_to_string( "test.txt", )?; // split...

Updates the requirements on [imageproc](https://github.com/image-rs/imageproc) to permit the latest version. Changelog Sourced from imageproc's changelog. 0.24.0 - 2024-03-16 New features: Added BRIEF descriptors Added draw_antialiased_polygon Added draw_hollow_polygon, draw_hollow_polygon_mut Added contour_area...

dependencies

Hi all. I'm currently working to the implementation of a quantized version of Mixtral 8x22b. I'm using the weights from the following repo: [MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-GGUF](https://huggingface.co/MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-GGUF). Unfortunately, expert-related tensors for each layer...

Hi! Looking into adding mkl, but current the doc linked here: https://huggingface.github.io/candle/guide/advanced/mkl.html (Via https://huggingface.github.io/candle/guide/installation.html -> Using mkl at the bottom) Seems to be a dead link. Cheers, Z

I have an onnx model converted from pytorch, but encountered an error using candle inference. I have confirmed that this onnx model can work properly on Python. I also checked...