yomo-wasmedge-tensorflow
SSVM
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| yomo-wasmedge-tensorflow | SSVM | |
|---|---|---|
| 2 | 50 | |
| 60 | 7,932 | |
| - | 3.3% | |
| 4.1 | 9.8 | |
| 4 months ago | 7 days ago | |
| Go | C++ | |
| MIT License | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
yomo-wasmedge-tensorflow
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Enjoy the most lightweight AI inference
# Download a video file $ wget -P source 'https://github.com/yomorun/yomo-wasmedge-tensorflow/releases/download/v0.1.0/hot-dog.mp4' # Stream the video to YoMo $ go run ./source/main.go ./source/hot-dog.mp4
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Streaming Image Recognition by WebAssembly and Tensorflow
$ git clone https://github.com/yomorun/yomo-wasmedge-tensorflow.git
SSVM
- A WASM runtime for running LLMs locally
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Time-series data ingestion from Rust WebAssembly application, leveraging GreptimeDB and WasmEdge
WasmEdge GitHub address: https://github.com/WasmEdge/WasmEdge.
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Orca-2-13B Runs Directly on Rust+WASM – No Python/C++ Hassles
I see that they recently changed the intro of WasmEdge on Github [1] to " WasmEdge is the easiest and fastest way to run LLMs on your own devices. "
Since it's a wasm runtime capable of many things I find bizarre that they now start describing it with a ultra-specific use case
- [1] https://github.com/WasmEdge/WasmEdge
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Run LLMs on my own Mac fast and efficient Only 2 MBs
Mmm…
The wasm-nn that this relies on (https://github.com/WebAssembly/wasi-nn) is a proposal that relies of arbitrary plugin backends sending arbitrarily chunks to some vendor implementation. The api is literally like set input, compute, set output.
…and that is totally non portable.
The reason this works, is because it’s relying on the abstraction already implemented in llama.cpp that allows it to take a gguf model and map it to multiple hardware targets,which you can see has been lifted here: https://github.com/WasmEdge/WasmEdge/tree/master/plugins/was...
So..
> Developers can refer to this project to write their machine learning application in a high-level language using the bindings, compile it to WebAssembly, and run it with a WebAssembly runtime that supports the wasi-nn proposal, such as WasmEdge.
Is total rubbish; no, you can’t.
This isn’t portable.
It’s not sandboxed.
If you have a wasm binary you might be able to run it if the version of the runtime you’re using happens to implement the specific ggml backend you need, which it probably doesn’t… because there’s literally no requirement for it to do so.
There’s a lot of “so portable” talk in this article which really seems misplaced.
- Security Slam 2023: Contribute to WasmEdge and Elevate Open Source Security
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Requiem for a Stringref
WasmEdge isn't there yet: https://github.com/WasmEdge/WasmEdge/issues/1122#issuecommen...
- Should You Be Scared of Unix Signals?
- WasmEdge 0.13.0: Unified CLI, ARM Support and Migrating Extensions to Plugins
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ChatGPT-powered code review bot to boost your PR merge. Deploy in 5 mins
Example 1: Analyze the content and risks of each commit in the PR. Then make a summary. https://github.com/WasmEdge/WasmEdge/pull/2394#issuecomment-...
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Cloud, Why So Difficult?
There has also been a few "cloud-native" runtimes based on WASM, like WasmEdge but there's a few others (can't remember their names!)...
What are some alternatives?
yomo - 🦖 Stateful Serverless Framework for building Geo-distributed Edge AI Infra
wasmer - 🚀 The leading Wasm Runtime supporting WASIX, WASI and Emscripten
WasmEdge-image
wasmtime - A fast and secure runtime for WebAssembly
rustwasmc - Tool for building Rust functions for Node.js. Combine the performance of Rust, safety and portability of WebAssembly, and ease of use of JavaScript.
aws-lambda-wasm-runtime - A template project for building high-performance, portable, and safe serverless functions in AWS Lambda.
WasmEdge-tensorflow
WAVM - WebAssembly Virtual Machine
cli - Command-line tools for YoMo.
dapr-wasm - A template project to demonstrate how to run WebAssembly functions as sidecar microservices in dapr
WasmEdge-go - The GO language SDK and API for WasmEdge