Comments (3)
Hi @hydai,
I'm Ankit, and I'm thrilled about the opportunity to contribute to the WasmEdge organization, especially through this project. I believe it aligns well with my skills and interests.
To better prepare myself to become a potential contributor, could you suggest any prerequisite tasks or specific issues that would be beneficial to work on? I'm enthusiastic about collaborating with the team to make meaningful contributions to WasmEdge.
Looking forward to your guidance.
Best regards,
Ankit
from wasmedge.
Hi @Aankirz
This project is relying on the llama.cpp
. We would like to enable the fine-tuning feature in the WASI-NN ggml plugin. So there is something you should pay attention to: WASI-NN spec, fine-tuning in llama.cpp
, and how to integrate them into our current plugin.
from wasmedge.
Hi @hydai sir, I have gone through this project and got to know that need to define new APIs for fine-tuning operations within WASI-NN and Understand llama.cpp
's fine-tuning and create bindings in the plugin to call its functions. If applicable then Implement functionalities for LoRA-related tasks like loading pre-trained models. But main focus should on WASI-NN
Spec Extensions, understanding llama.cpp
Fine-Tuning and creating WASI-NN
ggml Plugin Bindings.
from wasmedge.
Related Issues (20)
- Building WASM from source on android HOT 6
- bug: WasmEdge `0.14.0-alpha.2` doesn't work on macOS, at least due to a lack of `libprotobuf.25.1.0` and `libgrpc++.1.60.dylib`.
- WASI-NN with GPU on Jetson Orin Nano HOT 6
- LFX Workspace: Integrate burn.rs as a new WASI-NN backend HOT 4
- bug: LlamaEdge 0.4.0 installation on Mac Intel model, missing file ' WasmEdge-plugin-wasmedge_rustls-0.13.5-darwin_x86_64.tar.gz' HOT 3
- bug: Randomly fail of Windows or Windows-MSVC test for LLVM HOT 2
- question: module name conflict when loading rustls plugin HOT 2
- LFX Workspace: Integrate Intel Extension for Transformers as a new WASI-NN backend HOT 5
- question: LLamaEdge installation failed in Raspberry Pi OS HOT 4
- feat: Support Qwen-VL model HOT 4
- LFX Workspace: Integrate MLX as a new WASI-NN backend HOT 3
- Use `println!` in rust will make the execution terminated on the Windows environment. HOT 1
- bug: failed to link libwasmedgeAOT.dylib, undefined symbols when rerun `ninja` HOT 3
- CI warning at plugins (manylinux2014, aarch64) HOT 1
- How to solve the problem"WASI-NN plugin not installed." HOT 7
- feat: support relaxed simd proposal HOT 3
- LFX Workspace: Integrate whisper.cpp as a new WASI-NN backend #3170 HOT 3
- bug: `[WASI-NN] RPC client is not implemented for LoadByNameWithConfig` HOT 8
- feat: A pure shell script to install wasmedge and plugins HOT 1
- feat: `wasmedge_tensorflowlite` plug-in support for Android platform. HOT 5
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from wasmedge.