libsignal-service-rs
axolotl
| libsignal-service-rs | axolotl | |
|---|---|---|
| 1 | 29 | |
| 62 | 5,811 | |
| - | 9.3% | |
| 9.1 | 9.8 | |
| 19 days ago | 3 days ago | |
| Rust | Python | |
| GNU Affero General Public License v3.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
libsignal-service-rs
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starting a native adaptive Linux client for Signal
Our plan is to put most of the backend logic in a portable Rust library building on upstream's Rust libraries. Someone is already interested in using that for a new CLI/bot client.
axolotl
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Ask HN: Most efficient way to fine-tune an LLM in 2024?
The approach I see used is axolotl with QLoRA using cloud GPUs which can be quite cheap.
https://github.com/OpenAccess-AI-Collective/axolotl
- FLaNK AI - 01 April 2024
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LoRA from Scratch implementation for LLM finetuning
https://github.com/OpenAccess-AI-Collective/axolotl
- Optimized Triton Kernels for full fine tunes
- Axolotl
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Let’s Collaborate to Build a High-Quality, Open-Source Dataset for LLMs!
One option is to look at what Axolotl uses. They have a list of different dataset formats that they support. They're mostly in JSON with specific field names, so you could start putting a dataset together with a text editor or a JSON editor.
- Axolotl: Streamline fine-tuning of AI models
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Dataset Creation Tools?
You can save that overall set into a json file and load it up as training data in whatever you're using. I'm using axolotl for it at the moment. Though a GUI based option is probably best for the first couple of tries until you get a feel for the options.
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Progress on Reproducing Phi-1/1.5
Looking forward to the results! If it turns out the dataset is reproducible, then it might be a good candidate for ReLora training on axolotl!
What are some alternatives?
cxx - Safe interop between Rust and C++
signal-cli - signal-cli provides an unofficial commandline, JSON-RPC and dbus interface for the Signal messenger.
libsignal - Home to the Signal Protocol as well as other cryptographic primitives which make Signal possible.
gpt-llm-trainer
textsecure - TextSecure(signal) client package for Go
LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Hermes - GTK Adaptive Signal Client (Unofficial)
mlc-llm - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
whisperfish
LMFlow - An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
anbox-playstore-installer - Install script that automates installation of googles playstore in anbox
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI