SillyTavern-extras
triton
| SillyTavern-extras | triton | |
|---|---|---|
| 6 | 30 | |
| 126 | 11,589 | |
| - | 5.2% | |
| 10.0 | 9.9 | |
| about 1 year ago | 4 days ago | |
| Python | C++ | |
| The Unlicense | MIT License |
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SillyTavern-extras
- We should have a detailed guide to instal the extras or the new Smart Context module of ChromaDB
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How do I use the extras on sillytaven?
You may want clone SillyTavern Extras repo and follow the instructions there.
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How can I install Stablediffusion (or Waifudiffusion, if possible) onto Sillytavern?
You need to install and run silly tavern extras https://github.com/Cohee1207/SillyTavern-extras
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Anyone hosting a local LLM server
I'm running an essentially "headless" setup with SillyTavern, SillyTavern-extras, ooba and vlandmadic's Stable Diffusion fork on a WSL(2) VM (Ubuntu 22.04), where:
- Wizard-Vicuna-13B-Uncensored is seriously impressive.
- I'm not sure if this is the right place to post this. But I would like to create a companion and host them on my PC.
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.
What are some alternatives?
SillyTavern - LLM Frontend for Power Users.
cuda-python - CUDA Python Low-level Bindings
docker - Docker - the open-source application container engine
Halide - a language for fast, portable data-parallel computation
SillyTavern-Extras - Extensions API for SillyTavern.
GPU-Puzzles - Solve puzzles. Learn CUDA.
SillyTavern - LLM Frontend for Power Users. [Moved to: https://github.com/SillyTavern/SillyTavern]
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
simple-proxy-for-tavern
web-llm - High-performance In-browser LLM Inference Engine
SillyTavernSimpleLauncher - A launcher that let's you install, uninstall, update, backup and uninstall SillyTavern and SillyTavernExtras
cutlass - CUDA Templates for Linear Algebra Subroutines