renaming
mlc-llm
| renaming | mlc-llm | |
|---|---|---|
| 36 | 89 | |
| 2,368 | 17,053 | |
| - | 3.7% | |
| 0.0 | 9.9 | |
| about 2 years ago | 1 day ago | |
| Python | ||
| Creative Commons Zero v1.0 Universal | 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.
renaming
- America’s fierce guilt for slavery is understandable – we mustn’t import it
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GirlfriendGPT – OSS AI Companion
Uh, no. This is false. It’s just part of a broader trend to stop using ‘master’ due to some people finding that term offensive.
https://github.com/github/renaming
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When did this illustration style become popular and why is it so ugly?
Not only did GH only make the change for reasons other than what you said, it's also just a weird hill to die on? Words evolve over time, and as things take on different connotations, people generally gravitate towards more tasteful alternatives.
- The senior dev’s face after the junior dev merges 482 new changes into the main branch
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Management doesn't like "Master / Slave" terminology, so I chose another.
I mean github changed "master" to "main" because social warriors were crying wolf on the use of "master"... people are going to find ways to get offended, once everything has been turned to "neutral" another side of the same group will fight for "inclusion" by turning all of it on its head.
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Ok chaddis, then dont go to idiotic and woke Stanford University.
The master-main thing is actually real lmao. Not Stanform, but GitHub did it
- Est-ce que le politiquement correct s'imisce dans votre code?
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Today I was informed my our big multinational client..
Oh, they did already. The default branch is "main" now if you create the project on Github. But if you're a white colonizer like me, you create your project using git directly and it uses master by default.
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s
😱 the M-word
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Rename "master's" degree to a more racially sensitive word
Github renamed the master branch to main. The University of Pennsylvania renamed faculty masters to faculty directors. There's a view to rename residential masters at Yale. Likewise, the master's degree should be renamed to something that's more racially sensitive.
mlc-llm
- FLaNK 04 March 2024
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Ai on a android phone?
This one uses gpu, it doesn't support Mistral yet: https://github.com/mlc-ai/mlc-llm
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MLC vs llama.cpp
I have tried running mistral 7B with MLC on my m1 metal. And it kept crushing (git issue with description). Memory inefficiency problems.
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[Project] Scaling LLama2 70B with Multi NVIDIA and AMD GPUs under 3k budget
Project: https://github.com/mlc-ai/mlc-llm
- Scaling LLama2-70B with Multi Nvidia/AMD GPU
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AMD May Get Across the CUDA Moat
For LLM inference, a shoutout to MLC LLM, which runs LLM models on basically any API that's widely available: https://github.com/mlc-ai/mlc-llm
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ROCm Is AMD's #1 Priority, Executive Says
One of your problems might be that gfx1032 is not supported by AMD's ROCm packages, which has a laughably short list of supported hardware: https://rocm.docs.amd.com/en/latest/release/gpu_os_support.h...
The normal workaround is to assign the closest architecture, eg gfx1030, so `HSA_OVERRIDE_GFX_VERSION=10.3.0` might help
Also, it looks like some of your tested projects are OpenCL? For me, I do something like: `yay -S rocm-hip-sdk rocm-ml-sdk rocm-opencl-sdk` to cover all the bases.
My recent interest has been LLMs and this is my general step by step for those (llama.cpp, exllama) for those interested: https://llm-tracker.info/books/howto-guides/page/amd-gpus
I didn't port the docs back in, but also here's a step-by-step w/ my adventures getting TVM/MLC working w/ an APU: https://github.com/mlc-ai/mlc-llm/issues/787
From my experience, ROCm is improving, but there's a good reason that Nvidia has 90% market share even at big price premiums.
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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.
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Show HN: Fine-tune your own Llama 2 to replace GPT-3.5/4
you already have TVM for the cross platform stuff
see https://tvm.apache.org/docs/how_to/deploy/android.html
or https://octoml.ai/blog/using-swift-and-apache-tvm-to-develop...
or https://github.com/mlc-ai/mlc-llm
- Ask HN: Are you training and running custom LLMs and how are you doing it?
What are some alternatives?
Terasology - Terasology - open source voxel world
llama.cpp - LLM inference in C/C++
window.fetch polyfill - A window.fetch JavaScript polyfill.
ggml - Tensor library for machine learning
semaphore-demo-monorepo
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
tabnine-vscode - Visual Studio Code client for Tabnine. https://marketplace.visualstudio.com/items?itemName=TabNine.tabnine-vscode
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
hub - A command-line tool that makes git easier to use with GitHub.
llama-cpp-python - Python bindings for llama.cpp
worldle
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.