roadmapper
mlc-llm
| roadmapper | mlc-llm | |
|---|---|---|
| 11 | 89 | |
| 521 | 17,053 | |
| - | 3.7% | |
| 8.7 | 9.9 | |
| 26 days ago | 6 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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roadmapper
- FLiPN-FLaNK Stack Weekly May 8 2023
- Roadmaper – A Roadmap as Code (RaC) Tool
- GitHub - csgoh/roadmapper: Roadmapper - A Roadmap as Code (Rac) python library. Generate professional roadmap diagram using python code.
- Roadmapper: The First Roadmap as Code (RaC) Python Library
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Business Process Diagram as Code in Python
Check out my other released project: Roadmapper, a Roadmap as Code library: https://github.com/csgoh/roadmapper
- Roadmapper version 1 has been released
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Roadmapper - Roadmap as Code (RaC) python library
GitHub Repo: https://github.com/csgoh/roadmapper
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Roadmapper - open source Roadmap as Code (RaC) python library
I uploaded the wrong roadmap picture. I have tested different configurations. If you set it to 2023-02-01, this is what you are getting: https://github.com/csgoh/roadmapper/blob/main/images/demo01.png
- Roadmapper – Roadmap as Code (RaC)
- Roadmap as Code (RaC)
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?
processpiper - An open source python library to generate business process diagram using code or plain text.
llama.cpp - LLM inference in C/C++
frogmouth - A Markdown browser for your terminal
ggml - Tensor library for machine learning
highstorm - Open Source Event Monitoring
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
CML_AMP_LLM_Chatbot_Augmented_with_Enterprise_Data
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
AudioGPT - AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
llama-cpp-python - Python bindings for llama.cpp
browsr - 🗂️ a pleasant file explorer in your terminal supporting all filesystems
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.