Signal-Desktop
axolotl
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Signal-Desktop | axolotl | |
---|---|---|
322 | 29 | |
13,999 | 5,641 | |
0.7% | 23.6% | |
9.9 | 9.8 | |
7 days ago | 4 days ago | |
TypeScript | 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.
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.
Signal-Desktop
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Privacy is Priceless, but Signal is Expensive
2: https://github.com/signalapp/Signal-Desktop/issues/1862
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Interview on Signal app?
For more Information on how to proceed kindly connect with the HR on Signal app. Download (Signal ) on your mobile device https://signal.org/download/ and connect now with the HR ON +13093936282
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CVE-2023-4863: Heap buffer overflow in WebP (Chrome)
It does, see [0]. Fun fact: Signal desktop, which uses Electron under the hood, is running without sandbox on Linux [1][2].
[0] https://github.com/electron/electron/pull/39824
[1] https://github.com/signalapp/Signal-Desktop/issues/5195
[2] https://github.com/signalapp/Signal-Desktop/pull/4381
- No longer showing link previews?
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super choppy video streams
There was a issue opened on GitHub a while back apparently but that was closed due to inactivity. What you might want to do is either open a new issue directly in GitHub (provide as much information as possible and include debug logs) or just send them a support ticket via the support form (and include debug logs).
- Signal Desktop for Windows takes 30+ min to send messages. Phone app still works.
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Signal Android BETA has text formatting now
Desktop will have it https://github.com/signalapp/Signal-Desktop/commit/9bfbee464bc307a9133ccf43042987343722afe9
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Signal Desktop messaging app having trouble with IPv6
Issues have been ongoing for the past couple weeks. It's not clear if this is the client or backend. Dual stack works again with v6.20.2, but IPv6-only with NAT64 still doesn't. Actively being worked on, and hopefully some good learnings. Issue link thread: https://github.com/signalapp/Signal-Desktop/issues/6439
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IPv6 connectivity again with 6.20.1 Update
Alive again with 6.20.2 on Windows dual stack. Directly downloaded from https://signal.org/download/
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Desktop Client takes minutes to send messages
Fix1, Fix2, Fix3, Fix4
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?
signal-cli - signal-cli provides an unofficial commandline, JSON-RPC and dbus interface for the Signal messenger.
gpt-llm-trainer
axolotl - A Signal compatible cross plattform client written in Go, Rust and Vuejs
session-desktop - Session Desktop - Onion routing based messenger
LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
AppImageLauncher - Helper application for Linux distributions serving as a kind of "entry point" for running and integrating AppImages
mlc-llm - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
webclient - Angular webclient (with Linux, macOS and Windows desktop clients) for CTemplar's encrypted email service.
LMFlow - An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
telegram-bot-api - Telegram Bot API server
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI