frogmouth
mlc-llm
| frogmouth | mlc-llm | |
|---|---|---|
| 14 | 89 | |
| 2,279 | 17,215 | |
| 2.7% | 4.6% | |
| 6.7 | 9.9 | |
| about 2 months ago | 5 days ago | |
| Python | Python | |
| 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.
frogmouth
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Show HN: Consol3 – A 3D engine in the terminal that executes on the CPU
Textual is not 3d too, but is also great for TUIs.
Textualize/Frogmouth has a TUI tree control: https://github.com/Textualize/frogmouth
FWICS browsh
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Live markdown preview?
No, since Vim uses a TUI and Markdown doesn't only display text. You could use something like Obsidian, which can display live previews of Markdown files side-by-side with the raw text and has support for a subset of Vim keybindings. Or use a terminal multiplexer like Tmux and open a split with a preview with something like Frogmouth (your preview will still be in a TUI but it would look nicer than the source file). Emacs might also have something that does what you are looking for (when combined with evil-mode if you want to preserve Vim keybindings) but I haven't looked into it.
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Frogmouth 0.5.0 - Markdown viewer / browser for your terminal
Instead of latest release notes, https://github.com/Textualize/frogmouth would've been a better submission link imo.
- FLiPN-FLaNK Stack Weekly May 8 2023
- GitHub - Textualize/frogmouth: A Markdown browser for your terminal
- Show HN: Frogmouth – A Markdown browser for your terminal
- Textualize/frogmouth: A Markdown browser for your terminal
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?
jsonformer - A Bulletproof Way to Generate Structured JSON from Language Models
llama.cpp - LLM inference in C/C++
baca - TUI Ebook Reader
ggml - Tensor library for machine learning
thinkgpt - Agent techniques to augment your LLM and push it beyong its limits
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
roadmapper - Roadmapper - A Roadmap as Code (Rac) python library. Generate professional roadmap diagram using python code.
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
FLaNK-TravelAdvisory - Travel Advisory - RSS Processing - Apache NiFi - Apache Kafka - Apache Flink - SQL
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.