triton
web-llm
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| triton | web-llm | |
|---|---|---|
| 30 | 42 | |
| 10,981 | 9,102 | |
| 7.9% | 5.1% | |
| 9.9 | 9.1 | |
| 3 days ago | 4 days ago | |
| C++ | TypeScript | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
triton
- OpenAI Triton: language and compiler for highly efficient Deep-Learning
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Show HN: Ollama for Linux – Run LLMs on Linux with GPU Acceleration
There's a ton of cool opportunity in the runtime layer. I've been keeping my eye on the compiler-based approaches. From what I've gathered many of the larger "production" inference tools use compilers:
- https://github.com/openai/triton
- Core Functionality for AMD #1983
- Project name easily confused with Nvidia triton
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Nvidia's CUDA Monopoly
Does anyone have more inside knowledge from OpenAI or AMD on AMDGPU support for Triton?
I see this:
https://github.com/openai/triton/issues/1073
But it's not clear to me if we will see AMD GPUs as first class citizens for pytorch in the future?
- @soumithchintala (Cofounded and lead @PyTorch at Meta) on Twitter: I'm fairly puzzled by $NVDA skyrocketing... (cont.)
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The tiny corp raised $5.1M
I thought this was a good overview of the idea Triton can circumvent the CUDA moat: https://www.semianalysis.com/p/nvidiaopenaitritonpytorch
It also looks like they added MLIR backend to Triton though I wonder if Mojo has advantages since it was built on MLIR? https://github.com/openai/triton/pull/1004
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Anyone hosting a local LLM server
I'm pretty happy with the setup, because it allows me to keep all the AI stuff and its dozens of conda envs and repos etc. seperate from my normal setup and "portable". It may have some performance impact (although I don't personally notice any significant difference to running it "natively" on windows), and it may enable some extra functionality, such as access to OpenAi's Triton etc., but that's currently neither here nor there.
- Triton: Runtime for highly efficient custom Deep-Learning primitives
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Mojo – a new programming language for all AI developers
Very cool development. There is too much busy work going from development to test to production. This will help to unify everything. OpenAI Triton https://github.com/openai/triton/ is going for a similar goal. But this is a more fundamental approach.
web-llm
- What stack would you recommend to build a LLM app in React without a backend?
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When LLM doesn’t fit into memory, how to make it work?
So I was playing with MLC webllm locally. I got my mistral 7B model installed and quantised. Converted it using mlc lib to metal package for Apple chips. Now it takes only 3.5GB of memory
-
Show HN: Ollama for Linux – Run LLMs on Linux with GPU Acceleration
Maybe they're talking about https://github.com/mlc-ai/mlc-llm which is used for web-llm (https://github.com/mlc-ai/web-llm)? Seems to be using TVM.
- Local embeddings model for javascript
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this makes deploying AI language models so much easier
Link to github for those who want to know about MLC straight from them. Web demo is cool but takes a long time to load first time. https://github.com/mlc-ai/web-llm
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April 2023
web-llm: Bringing large-language models and chat to web browsers. (https://github.com/mlc-ai/web-llm)
- Running a small model on a phone?
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Weekly Megathread - 14 May 2023
WebLLM - https://mlc.ai/web-llm/
- WebLLM - Bringing LLMs based chatbot to your web browser
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Google is bringing AI to the browser with WebGPU in Chrome
which makes this works in the browser
https://mlc.ai/web-llm/#chat-demo
What are some alternatives?
cuda-python - CUDA Python Low-level Bindings
chainlit - Build Conversational AI in minutes ⚡️
Halide - a language for fast, portable data-parallel computation
mlc-llm - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
GPU-Puzzles - Solve puzzles. Learn CUDA.
gpt4all - gpt4all: run open-source LLMs anywhere
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
StableLM - StableLM: Stability AI Language Models
cutlass - CUDA Templates for Linear Algebra Subroutines
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
maxas - Assembler for NVIDIA Maxwell architecture
duckdb-wasm - WebAssembly version of DuckDB