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LM Studio – Discover, download, and run local LLMs
- cyphertechinc 3y agoIf you just want to try something quick. You can try AskCyph LITE https://askcyph.cypherchat.app https://askcyph.cypherchat.app. It runs AI model natively on browser without having to do any installation, etc.
- d_meeze 3y agoSo if you suspect I am using this for business related purposes you may take any action you want to spy on me? Such Terms. Very Use.
- tmikaeld 3y agoIt's a standard clause for most apps. If a breach of the terms of conditions (such as using it for commercial purposes, like selling the software), they are allowed to launch an investigation. No where does this mention "spying" on modifying the app for such use.
- busssard 3y agoThats why as a business i would rather use a trusted FOSS LLm interface like textgeneration-WEBUI https://github.com/oobabooga/text-generation-webui https://github.com/oobabooga/text-generation-webui
- nacs 3y agoOr a simpler alternative: https://ollama.ai/ https://ollama.ai/
- hobofan 3y agoollama doesn't come packaged with an easy to invoke UI though.
- manyoso 3y agoGpt4all does
- RecycledEle 3y agohttps://gpt4all.io/index.html https://gpt4all.io/index.html
- moffkalast 3y agoMuch Sus. Wow.
- ionwake 3y agoSorry I haven’t used this product yet - Do the chat messages get uploaded to a server ?
- deleted 3y ago[deleted]
- sumedh 3y agoHow does this App make money?
- tmikaeld 3y agoLooks like they'll charge for a "Pro" version that can be used commercially. Though they'd have to confirm that, I only deducted from their ToS.
- eurekin 3y agoThis app could use some simple UI improvements: - The chatbox field has a normal "write here" state, when no chat is really selected. I thought my keyboard broke until I discovered that - I didn't find a way to set cuda acceleration before loading a model, only managed to set gpu offloaded layers and using "relaunch to apply" - Some HugginFace models are simply not listed and there's no indication about why. I guess models are really curated, but somehow presented as a HuggingFace browser? - Scrolling in the accordion parts of the interface seems to be responding to mouse wheel scroll only. I have a mouse with a damaged one and couldn't find a way to reliably navigate to bottom drawers That said, I really liked the server tab, which allowed for initial debugging very easily
- easygenes 3y agoIt’s basically a front end for llama.cpp, so it will only show models with GGUF quantizations.
- eurekin 3y agoAh, makes sense
- hahn-kev 3y agoThose are really weird bugs, how do you even manage that these days
- eurekin 3y agoNot sure if sarcastic or not. Assuming not. I did find it quite useful for opening a socket for remote tooling (played around withe the continue plugin). The quirky UI did slow me down,but nothing really showstopping
- pointlessone 3y agoM1 is only 3 years old and no one cares to support intel macs any more. There are surely a lot of them out there. Are they that much worse to run LLMs on?
- amrrs 3y agoOllama works super fine on Intel Mac The demo on this video is from Intel Mac https://youtu.be/C0GmAmyhVxM?si=puTCpGWButsNvKA5 https://youtu.be/C0GmAmyhVxM?si=puTCpGWButsNvKA5 It also supports openai compatible api and completely open-source unlike LM studio
- isilofi 3y agoDisappointing, no proper Linux support. Just "ask on discord".
- apstls 3y agofrom a pinned message on their discord: https://s3.amazonaws.com/releases.lmstudio.ai/prerelease/LM+Studio-0.2.8-beta-v1.AppImage https://s3.amazonaws.com/releases.lmstudio.ai/prerelease/LM+...
- RecycledEle 3y agoThe link above starts downloading a file. It's not a link to a web page.
- vibrolax 3y agoI did just that, including signing up for discord. Despite never having used discord before, I was able to find the link to the beta AppImage in a pinned message and downloaded it. Made it executable with chmod +x LM...... Ran it. Searched for some of the models referenced in this discussion. Downloaded one and ran it. It just worked on Linux Mint 21.2.
- kgeist 3y agoFor my experiments with new self-hostable models on Linux, I've been using a script to download GGUF-models from TheBloke on HuggingFace (currently, TheBloke's repository has 657 models in the GGUF format) which I feed to a simple program I wrote which invokes llama.cpp compiled with GPU support. The GGUF format and TheBloke are a blessing, because I'm able to check out new models basically on the day of their release (TheBloke is very fast) and without an issue. However, the only frontend I have is console. Judging by their site, their setup is exactly the same as mine (which I implemented over a weekend), except that they also added a React-based UI on top. I wonder, how they're planning to commercialize it, because it's pretty trivial to replicate, and there're already open-source UI's like oogabooga.
- bambax 3y agoI'd like to build myself a headless server to run models, that could be queried from various clients locally on my LAN, but am usure where to start and what the hardware requirements would be. Software can always be changed later but I'd rather buy the hardware parts only once. Do you have recommendations about this? or blog posts to get started? What would be a decent hardware configuration?
- fintechie 3y agoYou can currently do this in an M2 Max with ollama and a Nextjs UI [0] running in a docker container. Any devices in the network can use the UI... and I guess if you want a LAN API you just need to run another container with with OAI compatible API that can query ollama.. eg [1] [0]https://github.com/ivanfioravanti/chatbot-ollama https://github.com/ivanfioravanti/chatbot-ollama [1]https://github.com/BerriAI/litellm https://github.com/BerriAI/litellm
- rsolva 3y agoOllama does this. I run it in a container on my homelab (Proxmox on a HP EliteDesk SFF G2 800) and 7B models run decently fast on CPU-only. Ollama has a nice API and makes it easy to manage models. Together with ollama-webui, it can replace ChatGPT 3.5 for most tasks. I also use it in VSCode and nvim with plugins, works great! I have been meaning to write a short blog post about my setup...
- andy99 3y agoI don't mean this as a criticism, I'm just curious because I work in this space too: who is this for? What is the niche of people savvy enough to use this who can't run one of the many open source local llm software? It looks in the screenshot like it's exposing much of the complexity of configuration anyway. Is the value in the interface and management of conversation and models? It would be nice to see info or even speculation about the potential market segments of LLM users.
- pridkett 3y agoIn most workplaces that deal with LLMs you’ve got a few classes of people: 1. People who understand LLMs and know how to run them and have access to run them on the cloud. 2. People who understand LLMs well enough but don’t have access to cloud resources - but still have a decent MacBook Pro. Or maybe access to cloud resources is done via overly tight pipelines. 3. People who are interested in LLMs but don’t have enough technical chops/time to get things going with Llama CPP. 4. People who are fans of LLMs but can’t even install stuff in their computer. This is clearly for #3 and it works well for that group of people. It could also be for #2 when they don’t want to spin up their own front end.
- wiihack 3y agoI got Mistral-7b running locally, and although it wasn't hard, it did take some time nonetheless. I just wanted to try it out and was not that interested in the technical details.
- 3cats-in-a-coat 3y agoIt's for people who want to discover LLMs and either don't have the skill to deploy it, or value their time, and prefer not to fool around for hours getting it to work before they can try it. The fact it has configuration is good, as long as it has some defaults.
- transcriptase 3y agoExactly. People like me have been waiting for a tool like this. I'm more than capable of compiling/installing/running pretty much any software, but all I want is the ability to chat with a LLM of my choice without spending an afternoon tabbing back to a 30 step esoteric GitHub .md full of caveats, assumptions, and requiring dependencies to be installed and configured according to preferences I don't have.
- smusamashah 3y agoWhy purple or some shade of purple is the color of all AI products? For some reason, the landing pages of AI products immediately remind of Crypto products. This one does not have Crypto vibes but the colour is purple. I don't get why.
- 3cats-in-a-coat 3y agoBecause apps mostly prefer dark theme now, and dark red, brown, dark green and so on look weird, and gray is OK, but very boring, like someone desaturated the UI. Which leaves shades of blue and purple.
- chatmasta 3y agoIt's a default color in Tailwind.css and is used in a lot of the templates and examples. Nine times out of ten, if you check the source of a page with this flavor of purple, you'll see it's using Tailwind, as the OP site in fact does.
- smusamashah 3y agoAh! that makes more sense. New startup, new tech and therefore the new default color. I hope its just that and because I only tend to notice AI startups purple is what I end up seeing.
- replete 3y agoRIP Intel users
- hugovie 3y agoLMStudio is great to run local LLMs, also support OpenAI-compatible API. In the case you need more advance UI/UX, you can use LMStudio with MindMac(https://mindmac.app https://mindmac.app), just check this video for details https://www.youtube.com/watch?v=3KcVp5QQ1Ak https://www.youtube.com/watch?v=3KcVp5QQ1Ak.
- smcleod 3y agoThanks for sharing MindMac - just tried it out and it's exactly what I was looking for, great to see Ollama integration is coming soon!
- hugovie 3y agoThank you for your support. I just found a workaround solution to use Ollama with MindMac. Please check this video https://www.youtube.com/watch?v=bZfV70YMuH0 https://www.youtube.com/watch?v=bZfV70YMuH0 for more details. I will integrate Ollama deeply in the future version.
- shanusmagnus 3y agoMindMac is the first example I've seen where the UI for working w/ LLMs is not complete and utter horseshit and starts to support workflows that are sensible. I will buy this with so much enthusiasm if it holds up. Argh, this has been such a pain point.
- codeisawesome 3y agoWow, brand new product but already 'trusted by Oracle, Paypal, Amazon, Cisco' based on the logos I'm seeing on the home page. How was that achieved?
- hugovie 3y agoI suppose it was through word of mouth. I know this because they used their work email to purchase MindMac.
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- hnuser123456 3y agoThis works, but I've noticed that my CPU use goes up to about 30 percent, all in kernel time (windows), after installing and opening this, even when it's not doing anything, on two separate machines... I also hear the fan spinning fast on my laptop. Killed the LM studio process and re-opened it and the ghost background usage is down to about 5%.
- manyoso 3y agoFor those looking for an open source alternative with Mac, Windows, Linux support check out GPT4All.io
- thejohnconway 3y agoTerrible name, given that its value is that it runs locally, and you can't do that with ChatGPT.
- reustle 3y agoThis looks great! If you're looking to do the same with open source code, you could likely run Ollama and a UI. https://github.com/jmorganca/ollama https://github.com/jmorganca/ollama + https://github.com/ollama-webui/ollama-webui https://github.com/ollama-webui/ollama-webui
- nigma 3y agoI'm having a lot of fun chatting with characters using Faraday and koboldcpp. Faraday has a great UI that lets you adjust character profiles, generate alternative model responses, undo, or edit dialogue, and experiment with how models react to your input. There's also SillyTavern that I have yet to try out. - https://faraday.dev/ https://faraday.dev/ - https://github.com/LostRuins/koboldcpp https://github.com/LostRuins/koboldcpp - https://github.com/SillyTavern/SillyTavern https://github.com/SillyTavern/SillyTavern
- eshack94 3y agoOllama is fantastic. I cannot recommend this project highly enough. Completely open-source, lightweight, and a great community.
- activatedgeek 3y agoI looked at Ollama before, but couldn't quite figure something out from the docs [1] It looks like a lot of the tooling is heavily engineered for a set of modern popular LLM-esque models. And looks like llama.cpp also supports LoRA models, so I'd assume there is a way to engineer a pipeline from LoRA to llama.cpp deployments, which probably covers quite a broad set of possibilities. Beyond llama.cpp, can someone point me to what the broader community uses for general PyTorch model deployments? I haven't quite ever self-hosted models, and am really keen to do one. Ideally, I am looking for something that stays close to the PyTorch core, and therefore allows me the flexibility to take any nn.Module to production. [1]: https://github.com/jmorganca/ollama/blob/main/docs/import.md https://github.com/jmorganca/ollama/blob/main/docs/import.md.
- seydor 3y agooobabooga is no longer popular?
- omneity 3y agoI really like LM Studio and had it open when I came across this post. LM Studio is an interesting mixture of: - A local model runtime - A model catalog - A UI to chat with the models easily - An openAI compatible API And it has several plugins such as for RAG (using ChromaDB) and others. Personally I think the positioning is very interesting. They're well positioned to take advantage of new capabilities in the OS ecosystem. It's still unfortunate that it is not itself open-source.
- addandsubtract 3y agoDoes it also let you connect to the ChatGPT API and use it?
- omneity 3y agoI haven’t found that option. I know it exists in Gpt4all though. Personally I use a locally served frontend to use ChatGPT via API.
- SOLAR_FIELDS 3y agoHow does it compare with something like FastChat? https://github.com/lm-sys/FastChat https://github.com/lm-sys/FastChat Feature set seems like a decent amount of overlap. One limitation of FastChat, as far as I can tell, is that one is limited to the models that FastChat supports (though I think it would be minor to modify it to support arbitrary models?)
- gmgmgmgmgm 3y agoOne, LMStudio, is an app. you download it, run it, you're immediately working The other is some python thing that requires python knowledge of creating virtual environments, installing dependencies, etc...
- pentagrama 3y agoCurious about this and I just download it. Want to try uncensored models. I have a question, looking for the most popular "uncensored" model I just find "TheBloke/Luna-AI-Llama2-Uncensored-GGML", but it has 14 files to download between 2 to 7 GB, I just download the first one: https://imgur.com/a/DE2byOB https://imgur.com/a/DE2byOB I try the model and it works: https://imgur.com/a/2vtPcui https://imgur.com/a/2vtPcui I should download all the 14 files to get better results? Also, asking how to make a bomb it looks that at least this model isn't "uncesored": https://imgur.com/a/iYz7VYQ https://imgur.com/a/iYz7VYQ
- jwblackwell 3y agobasically no open source fine tunes are censored, you can get an idea of popular models people are using here: https://openrouter.ai/models?o=top-weekly https://openrouter.ai/models?o=top-weekly teknium/openhermes-2.5-mistral-7b is a good one You don't need all 14 files, just pick one that is recommended with a slight loss of quality - hover over the little (i)icon to find out
- pentagrama 3y agoThank you! Now I checked the (i) tooltips. Just downloaded the bigger file (7GB) that says "Minimal loss of quality".
- nerdenough 3y agoThe readme of their repositories each have tables that detail the quality of each file. The QK_4_M and QK_5_M seem to be the two main recommended ones for low quality loss while too being too large. Only need 1 of the files, but recommend checking out the GGUF version of the model (just replace GGML in the URL) instead of GGML. Llama.cpp no longer supports GGML, and not sure if TheBloke still uploads new GGML versions of models.
- 0xEF 3y agoHonest question from someone new to exploring and using these models; why do you need uncensored? What are the use-cases that would call for it? Again, not questioning your motives or anything, just straight up curious. To use your example, any of us can find bomb building info online fairly easily, and has been a point of social contention since the Anarchist's cookbook. Nobody needs an uncensored LLM for that, of course.
- T3RMINATED 3y ago[dead]
- chatmasta 3y agoAm I missing something here? I'm on a recent M2 machine. Every model I've downloaded fails to load immediately when trying to load it. Is there some way to get feedback on the reason for failure, like a log file or something? EDIT: The problem is I'm on macOS 13.2 (Ventura). According to a message in Discord, the minimum version for some (most?) models is 13.6.
- deleted 3y ago[deleted]
- rgbrgb 3y agoLMStudio is great, if a bit daunting. If you’re on Mac and want a native open source interface, try out FreeChat https://www.freechat.run https://www.freechat.run
- NoMoreNicksLeft 3y agoThanks for the link. I expected it to not let me run this. I have an intel Macbook, was expecting that I'd need Apple Silicon... am I misunderstanding something? I get fairly fast results at the prompt with the default model. How's this thing running with whatever shitty GPU I have in my laptop?
- rgbrgb 3y agothat's the magic of llama.cpp! I include a universal binary of llama.cpp's server example to do inference. What's your machine? The lowest spec I've heard it running on is a 2017 iMac with 8GB RAM (~5.5 tokens/s). On my m1 with 64GB RAM I get ~30 tokens per second on the default 7B model.
- NoMoreNicksLeft 3y agoMacbook Pro 2020 with 16gb of system ram. I think the gpu is Iris Plus? But I don't much keep up on those. I'm now delving into getting this running in Terminal... there are a few things I want to try that I don't think the simple interface allows. Also, I've noticed that when chats get a few kilobytes long, it just seizes up and can't go further. I complained to it, it spent a sentence apologizing, started up where it left off... and got about 12 words further.
- rgbrgb 3y agohm yeah i think I need to update llama.cpp to get this fix https://github.com/ggerganov/llama.cpp/pull/3996 https://github.com/ggerganov/llama.cpp/pull/3996 Thanks for trying it!
- cloudking 3y agoIs anyone using open source models to actually get work done or solving problems in their software architecture? So far I haven't found anything near the quality of GPT-4.
- voiceblue 3y agoWizardCoder is probably close to state of the art for open models as of right now. https://github.com/nlpxucan/WizardLM/tree/main/WizardCoder https://github.com/nlpxucan/WizardLM/tree/main/WizardCoder https://huggingface.co/WizardLM/WizardCoder-Python-34B-V1.0 https://huggingface.co/WizardLM/WizardCoder-Python-34B-V1.0 Top of the line consumer machines can run this at a good clip, though most machines will need to use a quantized model (ExLlamaV2 is quite fast). I found a model for that as well, though I haven't used it myself: https://huggingface.co/oobabooga/CodeBooga-34B-v0.1-EXL2-4.250b https://huggingface.co/oobabooga/CodeBooga-34B-v0.1-EXL2-4.2...
- deleted 3y ago[deleted]
- gsuuon 3y agoZephyr is coherent enough to bounce ideas off of, but I'm eagerly awaiting when open-source models are on par productivity wise with the big providers. I imagine some folks are utilizing codellama 34b somehow, but I haven't been able to effectively.
- xcv123 3y ago> So far I haven't found anything near the quality of GPT-4 GPT-4 has an estimated 1.8 trillion parameters. Orders of magnitude beyond open source models and ~10x GPT-3.5 which has 175 billion parameters. https://the-decoder.com/gpt-4-architecture-datasets-costs-and-more-leaked/ https://the-decoder.com/gpt-4-architecture-datasets-costs-an...
- ramoz 3y agoThe reality is there is no general use case for open source models, such as there is gpt-4. The decent chat ones are based on gpt data and they’re basically shitty distilled models. The best use case is a narrow one that you decide and can create adequate fine-tuning data around. Plenty of real production ability here.
- cvhashim04 3y agoWow this is sleek, good job.
- machiaweliczny 3y agohttps://github.com/enricoros/big-agi https://github.com/enricoros/big-agi seems better and is open source
- RecycledEle 3y agoThis is what I use on Windows 10. I have an HP z440 with an E5-1630 v4 and 64GB DDR4 quad channel RAM. I run LLMs on my CPU, and the 7 billion parameter models spit out text faster than I can read it. I wish it supported LMMs (multi modal models.)
- deskamess 3y agoNewbie question... Is this purely for hosting text language models? Is there something similar for image models? i.e., upload an image and have some local model provide some detection/feedback on it.
- stuckinhell 3y agoAfter the latest Chatgpt debacles, the poor performance I'm getting from 4 turbo, I'd really like a local version of chatgpt4 or equivalent. I'd even buy a new pc if I had too.
- ramoz 3y agoWouldn’t everyone.
- sunsmile 3y agoConsidering the code is closed source and they can change the ToS anytime to send conversation data to their servers whenever they want, i would like to know what would be the benefit of using this over ChatGPT?
- deleted 3y ago[deleted]
- porcoda 3y agoAmusing qualifications for the senior engineering roles they’re hiring for: “Deep understanding of what is a computer, what is computer software, and how the two relate.” Right after the senior ML role that requires people understand how to write “algorithms and programs.” Kinda hard to take those kinds of requirements seriously.
- wongarsu 3y agoThe second one isn't that bad in context. But the Senior Systems Software Engineer is wild, with "Deep understanding of what is a computer, what is computer software, and how the two relate" followed by "Experience writing and maintaining production code in C++14 or newer". You'd think the latter would imply the former, but maybe not... They seem to have even lowered expectations a bit. Two months ago [1] they were already hiring for that role (or a very, very similar one), but back then you needed experience with "mission-critical code in C++17", now just "production code in C++14". 1: http://web.archive.org/web/20230922170941/https://lmstudio.ai/jobs.html http://web.archive.org/web/20230922170941/https://lmstudio.a...
- xcv123 3y ago> You'd think the latter would imply the former, but maybe not... I wouldn't put C++ devs on too high of a pedestal. I got away with writing shitty C++ code for years before I really knew what I was doing. It still worked though.
- xcv123 3y ago> “Deep understanding of what is a computer, what is computer software, and how the two relate.” Seems like a joke, but many developers do not really understand what's going on behind the scenes. This gets straight to the point. They don't care about HR keyword matching on your CV, or how many years of experience you have of being a mediocre developer with language X or framework Y. I guess during the interview they will investigate whether you truly understand the fundamentals.
- theoldgit 3y ago
- FooBarWidget 3y agoThe settings say saving chats can take 2 GB. Why? What states do chat LLMs have? Isn't the only state the chat history text?
- whartung 3y agoI’m late to the game about this. So I’ll ask a stupid question. As a contrived example, what happens if you feed the LoTR books, the Hobbit, the Silmarillion, and whatever else is germane, into an LLM? Is there a base, empty, “ignorant” LLM that is used as a seed? Do you end up with a Middle Earth savant? Just how does all this work?
- LeoPanthera 3y agoThere isn't enough text in the Tolkein works to generate a functional LLM. You need to start with a base model that contains enough English (or language of your choice) to become functional. Such a model (LLaMa is a good example) is not "ignorant," but rather a generalized model capable of a wide range of language tasks. This base model does not have specialized knowledge in any one area but has a broad understanding based on the diverse training data. If you were to "feed" Tolkien's specific books into this general LLM, the model wouldn't become a Middle Earth savant. It would still provide responses based on its broad training. It might generate text that reflects the style or themes of Tolkien's work if it has learned this from the broader training data, but its responses would be based on patterns learned from the entire dataset, not just those books.
- whartung 3y agoSo, it wouldn't necessarily "know" much about Middle Earth, but might take a stab at writing like Tolkien?
- flexagoon 3y agoIf you give Tolkien books to a newborn child, they won't become a Tolkien expert. You need to first teach them English, and then give them the books. They will be able to answer questions about Middle Earth, but they'll also be able to form any other English sentence based on what they learned previously. It's basically the same with LLMs.
- esafak 3y agoYou would fine tune a pretrained LLM because those books are written in English. And natural languages are in flux, and the corpuses that describe them are not neutral, so you can impose fairness after the fact. Sebastian Raschka has written some relevant popular articles, like: https://magazine.sebastianraschka.com/p/understanding-large-language-models https://magazine.sebastianraschka.com/p/understanding-large-... https://magazine.sebastianraschka.com/p/finetuning-large-language-models https://magazine.sebastianraschka.com/p/finetuning-large-lan...
- jhoechtl 3y agoIs this an alternative to privategpt or GPT4All?
- RossBencina 3y agoSimilar to GPT4All. Arguably better UI.
- cztomsik 3y agoAlso, if you don't know what all the toggles are for, this is a simpler attempt by me: https://www.avapls.com/ https://www.avapls.com/
- MuffinFlavored 3y ago1. Mistral 2. Llama 2 3. Code Llama 4. Orca Mini 5. Vicuna What can I do with any of these models that won't result in 50% hallucinations/it recommending code with APIs that don't exist/it recommending basically regurgitated StackOverflow historical out of date answers (that it was trained on) for libraries that have had their versions/APIs change, etc? Can somebody share one real use case they are using any of these models for?
- shironandonon_ 3y agoWhy don’t you wrap it with a verification system (eg: web scraper) and auto-regenerate / jailbreak any things you don’t like?
- MuffinFlavored 3y agoBecause I pay $20/mo for GPT-4 and don't understand why anybody would run a "less-good" version locally that you can trust less/that has less functionality. That's why I wanted to try to understand, what am I missing about local-toy LLMs. How are they not just noise/nonsense generators?
- jstarfish 3y agoSometimes you just need to write creative nonsense. Emails, comments, stories, etc. Great for fiction since there are low stakes for errors. They're bad at generative tasks. Don't have it write code or scientific papers from scratch, but you can have it review anything you've written. You can also do summaries, keyword/entity extraction, and the like safely. Any reductive task works pretty well.
- cellis 3y agoThe first reason is because GPT-4 is censored for many types of tasks/topics.
- tvararu 3y agoSo do I, but on a flight 2 days ago, I forgot the name of a Ruby method, but knew what it does. I tried looking it up in Dash (offline rdocs) but didn’t find it. On a whim, I asked Zephyr 7B (Mistral based) “what’s the name of that Ruby method that does <insert code>” and it gave me 3 different correct ways of doing what I wanted, including the one I couldn’t remember. That was a real “oh wow” moment. So offline situations is the most likely use case for me.
- DrNosferatu 3y agoThe Linux version is not loading models. What’s your experience?
- LoganDark 3y agoI was working on something like this by myself, but ADHD deleted all my motivation. I'll definitely want to try this soon, especially if it's free! I hope it supports my (3060) GPU, though.