text-generation-webui-docker
text-generation-webui
text-generation-webui-docker | text-generation-webui | |
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6 | 877 | |
358 | 37,551 | |
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7.4 | 9.9 | |
19 days ago | 5 days ago | |
Dockerfile | Python | |
GNU Affero General Public License v3.0 | GNU Affero General Public License v3.0 |
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text-generation-webui-docker
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How to run llama.cpp or something similar in docker w/ docker-compose ? Guide needed
I have been using docker images from here. It can be connected to SillyTavern with API.
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Can't load exl2 model with 3060ti(8GB)
Hi guys, I am using Text Gen Webui-docker,I want to load an exl2 model with ExLlamav2_HF. I have tried 34B,13B and 7B,and none of them worked,while I can load it with llama.cpp with .gguf files. Everytime I load the models it gave me sam errors: ``` Traceback (most recent call last):
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Docker container running on 127.0.0.1 while assigning a different subnet
I'm trying to get the container for text-generation-webui to run, where the setup itself was pretty straight forward.
- Generative AI workloads?
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Are you selfhosting a ChatGPT alternative?
Here's the dockerized oogabooga link: https://github.com/Atinoda/text-generation-webui-docker
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Atinoda Docker version on WSL
Has anyone gotten Atinoda/text-generation-webui-docker (github.com) working on WSL? I'm having port issues.
text-generation-webui
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Take control! Run ChatGPT and Github Copilot yourself!
What I described here is most optimal workflow I found to be working for me. There are multiple ways to run open source models locally worth mentioning like Oobabooga WebUI or LM Studio, however I didn't found them to be so seamless, and fit my workflow.
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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.
What are some alternatives?
chatgpt-telegram-bot - 🤖 A Telegram bot that integrates with OpenAI's official ChatGPT APIs to provide answers, written in Python
KoboldAI - KoboldAI is generative AI software optimized for fictional use, but capable of much more!
LLaMA-Adapter - Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters [Moved to: https://github.com/OpenGVLab/LLaMA-Adapter]
llama.cpp - LLM inference in C/C++
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
gpt4all - gpt4all: run open-source LLMs anywhere
fuseai - Self-Hosted and Open-Source web app to interact with OpenAI APIs. Currently supports ChatGPT, but DALLE and Whisper support is coming.
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
KoboldAI-Client
alpaca-lora - Instruct-tune LLaMA on consumer hardware
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ