marp-cli
FlexGen
| marp-cli | FlexGen | |
|---|---|---|
| 5 | 39 | |
| 1,741 | 9,022 | |
| 2.2% | 0.9% | |
| 7.8 | 3.5 | |
| about 1 month ago | 25 days ago | |
| TypeScript | 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.
marp-cli
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Marp: A Markdown Presentation App That Simplifies Your Tech Talks
The recommended and the best option is to use the Visual Studio Code extension that is provided. The Marp CLI, the command line version, can also be used. However, one has to compile it to the required output everytime.
- Marp-CLI: A CLI interface for Marp and Marpit based converters
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Tutorial: Marp for VS Code
Please refer https://marp.app/ for more details of Marp ecosystem. We have powerful tools for Marp Markdown: Marpit Framework, CLI tool, Web interface and so on.
- FLiPN-FLaNK Stack Weekly 27Feb2023
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Create Slides Using Markdowns!
There are currently 4 ways you can use Marp: Marp for VS Code Marp as a CLI Marp Core tool And a smaller version: Marpit Frameword
FlexGen
- Run 70B LLM Inference on a Single 4GB GPU with This New Technique
- Colorful Custom RTX 4060 Ti GPU Clocks Outed, 8 GB VRAM Confirmed
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Local Alternatives of ChatGPT and Midjourney
LLaMA, Pythia, RWKV, Flan-T5 (self-hosted), FlexGen
- FlexGen: Running large language models on a single GPU
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Show HN: Finetune LLaMA-7B on commodity GPUs using your own text
> With no real knowledge of LLM and only recently started to understand what LLM terms mean, such as 'model, inference, LLM model, intruction set, fine tuning' whatelse do you think is required to make a took like yours?
This was mee a few weeks ago. I got interested in all this when FlexGen (https://github.com/FMInference/FlexGen) was announced, which allowed to run inference using OPT model on consumer hardware. I'm an avid user of Stable Diffusion, and I wanted to see if I can have an SD equivalent of ChatGPT.
Not understanding the details of hyperparameters or terminology, I basically asked ChatGPT to explain to me what these things are:
Explain to someone who is a software engineer with limited knowledge of ML terms or linear algebra, what is "feed forward" and "self-attention" in the context of ML and large language models. Provide examples when possible. - Could this new flexgen be used in place of GPTq? or is this different?
- OpenAI is expensive
What are some alternatives?
marpit - The skinny framework for creating slide deck from Markdown
llama - Inference code for Llama models
marp - The entrance repository of Markdown presentation ecosystem
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
marp-vscode.
text-generation-inference - Large Language Model Text Generation Inference
marp-core - The core of Marp converter
whisper.cpp - Port of OpenAI's Whisper model in C/C++
audiolm-pytorch - Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
marp-vscode - Marp for VS Code: Create slide deck written in Marp Markdown on VS Code