jxc
FlexGen
| jxc | FlexGen | |
|---|---|---|
| 5 | 39 | |
| 62 | 9,007 | |
| - | 0.8% | |
| 0.0 | 3.0 | |
| about 1 year ago | 15 days ago | |
| C++ | 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.
jxc
-
Literally
You're free to extend it yourself or use an existing extension if it's such a sticking point lol. Hell, the one I linked has strongly typed datetimes.
- FLiPN-FLaNK Stack Weekly 27Feb2023
- Juddc/jxc: JXC is a structured data language similar to JSON
- Introducing JXC: An expressive data/config language similar to JSON that's ideal for game engines and gameplay data. Supports type annotations, numeric suffixes, base64 strings, and expressions for custom syntax extensions. MIT License.
- Introducing JXC: An extensible, expressive data language. It's a drop-in replacement for JSON and supports type annotations, numeric suffixes, base64 strings, and more!
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
-
Local Alternatives of ChatGPT and Midjourney
LLaMA, Pythia, RWKV, Flan-T5 (self-hosted), FlexGen
- FlexGen: Running large language models on a single GPU
-
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?
audiolm-pytorch - Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
llama - Inference code for Llama models
proposal-temporal - Provides standard objects and functions for working with dates and times.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
kcl - KCL Programming Language (CNCF Sandbox Project). https://kcl-lang.io
text-generation-inference - Large Language Model Text Generation Inference
ion-docs - Source for the GitHub Pages for Ion.
whisper.cpp - Port of OpenAI's Whisper model in C/C++
motion-canvas - Visualize Your Ideas With Code
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
minimal-llama