anaconda-issues
text-generation-webui
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anaconda-issues
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ssl certifiates are broken
Google search of the issue also turned up this thread: https://github.com/ContinuumIO/anaconda-issues/issues/72
- Model 8bit Optimization Through WSL
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Why is Anaconda running so slow in my terminal?
I found this post on github that describes the same issue I'm facing but the solutions didn't help.
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Python 3 Types in the Wild
A scientist typically wouldn't write web backend, a sysadmin doesn't do a lot of statistical stuff, etc.
A small startup might do well to make their MVP in Python, but as the code grows the implicit costs (of using Python) do too.
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In re: Rust, sorry I wasn't clear above. I don't mean that Rust is a glue language, I mean that people write e.g. grep replacements in it and things like that. Python does systems programming by being glue, Rust does it by being, well, Rust. It makes sense to me that Rust libs would get Python wrappers, but it also seems to me that that adds to my argument: Python is good for small glue, but crunchy things (like grep) should be written in e.g. Rust or Go or something.
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One other things about Python is that the packaging & distribution "story" is ridiculous now. The people in charge of that call themselves the Python Packaging Authority (which name, given what they're doing, reminds me of Brazil the movie) and they seem to me to be running amok, cargo-culting the crap out of what should be a pretty simple and straightforward problem. I could go on but I feel a rant brewing, so I'll cut it off there.
It's not just the PyPA folks that are having problems packaging and distributing Python. The Conda folks ship Tkinter in a broken state for five years now: https://github.com/ContinuumIO/anaconda-issues/issues/6833 That's the default GUI system that ships with the Python Standard Library.
Compare and contrast with Rust's Cargo, or Nim's Nimble, or Erlang's Rebar, etc.
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tkinter font is pixelated
If so, you can check this solution. I've encountered this same issue when using Anaconda or Conda. https://github.com/ContinuumIO/anaconda-issues/issues/6833
- Astrophysicist wants to learn Python
- I know everyone hates Waves, but I seriously hate IK Multimedia even more. Anyone else?
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cannot connect to Centos 8 server from windows 10 PC using xrdp, macOS ok
https://github.com/ContinuumIO/anaconda-issues/issues/1206#issuecomment-258672013
- Windows 10 5.0.1 install gets stuck at "Anaconda3\pkgs\.install.py" · Issue #7587 · ContinuumIO/anaconda-issues
text-generation-webui
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Ask HN: What is the current (Apr. 2024) gold standard of running an LLM locally?
Some of the tools offer a path to doing tool use (fetching URLs and doing things with them) or RAG (searching your documents). I think Oobabooga https://github.com/oobabooga/text-generation-webui offers the latter through plugins.
Our tool, https://github.com/transformerlab/transformerlab-app also supports the latter (document search) using local llms.
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Ask HN: How to get started with local language models?
You can use webui https://github.com/oobabooga/text-generation-webui
Once you get a version up and running I make a copy before I update it as several times updates have broken my working version and caused headaches.
a decent explanation of parameters outside of reading archive papers: https://github.com/oobabooga/text-generation-webui/wiki/03-%...
a news ai website:
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text-generation-webui VS LibreChat - a user suggested alternative
2 projects | 29 Feb 2024
- Show HN: I made an app to use local AI as daily driver
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Ask HN: People who switched from GPT to their own models. How was it?
The other answers are recommending paths which give you #1. less control and #2. projects with smaller eco-systems.
If you want a truly general purpose front-end for LLMs, the only good solution right now is oobabooga: https://github.com/oobabooga/text-generation-webui
All other alternatives have only small fractions of the features that oobabooga supports. All other alternatives only support a fraction of the LLM backends that oobabooga supports, etc.
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AI Girlfriend Is a Data-Harvesting Horror Show
The example waifu in text-generation-webui is good enough for me.
https://github.com/oobabooga/text-generation-webui/blob/main...
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Nvidia's Chat with RTX is a promising AI chatbot that runs locally on your PC
> Downloading text-generation-webui takes a minute, let's you use any model and get going.
What you're missing here is you're already in this area deep enough to know what ooogoababagababa text-generation-webui is. Let's back out to the "average Windows desktop user" level. Assuming they even know how to find it:
1) Go to https://github.com/oobabooga/text-generation-webui?tab=readm...
2) See a bunch of instructions opening a terminal window and running random batch/powershell scripts. Powershell, etc will likely prompt you with a scary warning. Then you start wondering who ooobabagagagaba is...
3) Assuming you get this far (many users won't even get to step 1) you're greeted with a web interface[0] FILLED to the brim with technical jargon and extremely overwhelming options just to get a model loaded, which is another mind warp because you get to try to select between a bunch of random models with no clear meaning and non-sensical/joke sounding names from someone called "TheBloke". Ok...
Let's say you somehow braved this gauntlet and get this far now you get to chat with it. Ok, what about my local documents? text-generation-webui itself has nothing for that. Repeat this process over the 10 random open source projects from a bunch of names you've never heard of in an attempt to accomplish that.
This is "I saw this thing from Nvidia explode all over media, twitter, youtube, etc. I downloaded it from Nvidia, double-clicked, pointed it at a folder with documents, and it works".
That's the difference and it's very significant.
[0] - https://raw.githubusercontent.com/oobabooga/screenshots/main...
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Ask HN: What are your top 3 coolest software engineering tools?
Maybe a copout answer, but setting up a local LLM on my development machine has been invaluable. I use Deep Seek Coder 6.7 [0] and Oobabooga's UI [1]. It helps me solve simple problems and find bugs, while still leaving the larger architecture decisions to me.
[0] https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instr...
[1] https://github.com/oobabooga/text-generation-webui
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Meta AI releases Code Llama 70B
You can download it and run it with [this](https://github.com/oobabooga/text-generation-webui). There's an API mode that you could leverage from your VS Code extension.
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Ollama Python and JavaScript Libraries
Same question here. Ollama is fantastic as it makes it very easy to run models locally, But if you already have a lot of code that processes OpenAI API responses (with retry, streaming, async, caching etc), it would be nice to be able to simply switch the API client to Ollama, without having to have a whole other branch of code that handles Alama API responses. One way to do an easy switch is using the litellm library as a go-between but it’s not ideal (and I also recently found issues with their chat formatting for mistral models).
For an OpenAI compatible API my current favorite method is to spin up models using oobabooga TGW. Your OpenAI API code then works seamlessly by simply switching out the api_base to the ooba endpoint. Regarding chat formatting, even ooba’s Mistral formatting has issues[1] so I am doing my own in Langroid using HuggingFace tokenizer.apply_chat_template [2]
[1] https://github.com/oobabooga/text-generation-webui/issues/53...
[2] https://github.com/langroid/langroid/blob/main/langroid/lang...
Related question - I assume ollama auto detects and applies the right chat formatting template for a model?
What are some alternatives?
Projects - :page_with_curl: A list of practical projects that anyone can solve in any programming language.
KoboldAI
pytube-dl - this python application can be used to download youtube videos , thumbnails and descriptions.
llama.cpp - LLM inference in C/C++
cligen - Nim library to infer/generate command-line-interfaces / option / argument parsing; Docs at
gpt4all - gpt4all: run open-source LLMs anywhere
NumPy - The fundamental package for scientific computing with Python.
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
KoboldAI-Client
astropy - Astronomy and astrophysics core library
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.