runpodctl
text-generation-webui
runpodctl | text-generation-webui | |
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8 | 876 | |
216 | 36,827 | |
4.6% | - | |
9.4 | 9.9 | |
about 1 month ago | 4 days ago | |
Go | Python | |
GNU General Public License v3.0 only | GNU Affero General Public License v3.0 |
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runpodctl
- Ask HN: What's the best hardware to run small/medium models locally?
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Old Timer needs help setting up stable diffusion. Extremely confused.
You can rent a GPU on https://www.runpod.io/, which also has stable diffusion templates so any time you start the GPU SD will be preinstalled for you, ready to use:)
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i need some help guys
Another option is to use a service like www.runpod.io to rent time on more powerful systems. A few times a week I’ll load up whatever the latest 13B or 20/24B (and even low bpw 70Bs with EXL2) model is on a system with an rtx 3090 for $0.44/hr, and sometimes I’ll treat myself to an A6000 system to run 4bit 70Bs for $0.79/hr. They also offer A4000 systems with 16GB VRAM which is plenty to run a 4bpw 13B EXL2 model or an 8bpw 7B model, and those systems are just $0.36/hr.
- GPT-3.5 Turbo fine-tuning and API updates
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What's the best (and cheap) way to try out all the new LLMs on cloud services.
Many people use sites like runpod for this.
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Looking for Paperspace (or equivalent) Help
You can rent time on systems on www.runpod.io with a 48GB A6000 for $0.50/hr spot pricing and $0.79/hr regular pricing. 3090s can be had for $0.29/hr spot pricing and $.44/hr regular.
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only seeing disk cache slider, no gpu anything?
Keep in mind you can also use www.runpod.io to rent access to systems with a 3090 for about $.45/hr. It might be significantly cheaper ir at least more affordable to do this for a few hours a week instead of dropping $1,000 on a new laptop. This is what I personally do (I generally use it in the evening, and can get an Nvidia A6000 with 48GB VRAM for $.49/hr spot pricing). This lets me play with the latest 33B and 65B models, with really fast replies, and I spend maybe $5-7 a week if I use it a lot.
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What is best bang for buck persistent virtual GPU rental to run SD?
you can also connect the volume to other cloud storage (pcloud, dropbox, etc) (look for the option cloud sync in the "my pods" console) , or use python libraries to pull/push files from S3 buckets / dropbox / ftps / your NAS / etc, or use their docker tools to transfer files between your local PC and the volumehttps://github.com/runpod/runpodctl/blob/main/README.md
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?
chroma - the AI-native open-source embedding database
KoboldAI - KoboldAI is generative AI software optimized for fictional use, but capable of much more!
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
llama.cpp - LLM inference in C/C++
KoboldAI-Runpod - This is just a simple set of notebooks to load koboldAI and SillyTavern Extras on a runpod with Pytorch 2.0.1 Template
gpt4all - gpt4all: run open-source LLMs anywhere
EveryDream2trainer
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)
KoboldAI-Client
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
alpaca-lora - Instruct-tune LLaMA on consumer hardware
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ