Best local gpt reddit. 12/kWh) and labor (assuming $25/hour).

Best local gpt reddit 5 and GPT-4. Some LLMs will compete with GPT 3. Open Source will match or beat GPT-4 (the original) this year, GPT-4 is getting old and the gap between GPT-4 and open source is narrowing daily. If current trends continue, it could be seen that one day a 7B model will beat GPT-3. 5-turbo API, so it has limits on commercial use (cannot be used to compete against OpenAI), but Dolly 2. Free version of chat GPT if it's just a money issue since local models aren't really even as good as GPT 3. Thanks for testing it out. I have *zero* concrete experience with vector databases, but I care about this topic a lot, and this is what I've gathered so far:. run models on my local machine through a Node. ai local (desktop) client I have found to manage models, presets, and system prompts. I want to run something like ChatGpt on my local machine. Also offers an OAI endpoint as a server. 5. Hopefully, this will change sooner or later. If you want good, use GPT4. Local AI is free use. 5 is still atrocious at coding compared to GPT-4. Luckily, it doesn’t involve uploading anything as it runs 100% locally. LMStudio - quick and clean local GPT that makes it very fast and easy to swap around different open source models to test out. We discuss setup, optimal settings, and any challenges and accomplishments associated with running large models on personal devices. deepspeed) to work on limited vram 39 votes, 31 comments. Punches way above it's weight so even bigger local models are no better. But for now, GPT-4 has no serious competition at even slightly sophisticated coding tasks. 12/kWh) and labor (assuming $25/hour). If this is the case, it is a massive win for local LLMs. Accompanied by instruction to GPT (which is my previous comment was the one starting with "The above was a query for a local language model. Node. I find most things i want to do require a idea or story of sorts, but the thing is i struggle with ideas and planning, and such. 5 is an extremely useful LLM especially for use cases like personalized AI and casual conversations. GPT-3. The initial response is good with mixtral but falls off sharply likely due to context length. Hey u/robertpless, if your post is a ChatGPT conversation screenshot, please reply with the conversation link or prompt. js or Python). For example: GPT-4 Original had 8k context Open Source models based on Yi 34B have 200k contexts and are already beating GPT-3. GPT-4 requires internet connection, local AI don't. Qwen2 came out recently but it's still not as good. I want to use it for academic purposes like… While GPT-4 remains in a league of its own, our local models do reach and even surpass ChatGPT/GPT-3. https://github. com/nomic-ai/gpt4all-ui. GPT-4 is subscription based and costs money to use. Members Online Any tips on creating a custom layout? Not ChatGPT, no. We discuss setup, optimal settings, and the challenges and accomplishments associated with running large models on personal devices. Response: Let's define C as the cost of running a local large language model, including hardware (Nvidia RTX 3090), electricity (assuming $0. 7B / 13B} and GPT-Neox20B are the best alternatives. Thanks! We have a public discord server. Subreddit about using / building / installing GPT like models on local machine. OpenAI does not provide a local version of any of their models. With local AI you own your privacy. 0 from Databricks have both been released in the past few days and both work really well. Any suggestions on this? Additional Info: I am running windows10 but I also could install a second Linux-OS if it would be better for local AI. 70b+: Llama-3 70b, and it's not close. That's why I still think we'll get a GPT-4 level local model sometime this year, at a fraction of the size, given the increasing improvements in training methods and data. e. It's a weird messy project though, very artisanal with a massive super long/messy web page as the interface etc. I also have local copies of some purported gpt-4 code competitors, they are far from being close to having any chance at what gpt4 can do beyond some preset benchmarks that have zero to do with real world coding. Resources If someone wants to install their very own 'ChatGPT-lite' kinda chatbot, consider trying GPT4All . 5 on most tasks I have tested it with GPT-3. I totally agree with you, to get the most out of the projects like this, we will need subject-specific models. env file. And you can use a 6-10 sec wav file example for what voice you want to have to train the model on the fly, what goes very quick on startup of the xtts server. task(s), language(s), latency, throughput, costs, hardware, etc) GPT4All-J from Nomic-AI and Dolly 2. There is just one thing: I believe they are shifting towards a model where their "Pro" or paid version will rely on them supplying the user with an API key, which the user will then be able to utilize based on the level of their subscription. js script) and got it to work pretty quickly. However, with a powerful GPU that has lots of VRAM (think, RTX3080 or better) you can run one of the local LLMs such as llama. GPT falls very short when my characters need to get intimate. LocalGPT is a subreddit dedicated to discussing the use of GPT-like models on consumer-grade hardware. I've had some luck using ollama but context length remains an issue with local models. true. Huge problem though with my native language, German - while the GPT models are fairly conversant in German, Llama most definitely is not. 0 is based on Pythia and used a 15k instruct dataset generated by Databricks employees and can Gpt4 is not going to be beaten by a local LLM by any stretch of the imagination. Welcome to LocalGPT! This subreddit is dedicated to discussing the use of GPT-like models (GPT 3, LLaMA, PaLM) on consumer-grade hardware. For 7b uncensored wizardlm was best for me. And is reason that gpt-builder can’t make the JSON for actions and plugins in the config for custom gpt - that’s also in assistant api lol For many of these tasks, LLM assistance could save her a ton of time, but obviously sending any confidential patient data to GPT-4 or Claude 3 is a big no-no. 5 in these tests. Not completely perfect yet, but very good. Hey u/uzi_loogies_, if your post is a ChatGPT conversation screenshot, please reply with the conversation link or prompt. GPT4All-J is based on GPT-J and used data generated from the OpenAI 3. I dont think any model you can run on a single commodity gpu will be on par with gpt-3. Some are starting to exceed GPT-3. 5 and stories can be massive ans super detailed,i mean like novels with chapters i which is freaking mind blowing to me. Quick intro. But it is important to keep an eye on other LLMs, as many are making significant strides. (After a chat with GPT4) - as I understand it, GPT4 has 1. However, it's a challenge to alter the image only slightly (e. 18 votes, 15 comments. However, I can never get my stories to turn on my readers. 5-Turbo active for as long as GPT-4 is the best availble model or GPT-4-Turbo is released. 24 votes, 25 comments. , Huggingface and use them in the app. They give you free gpt-4 credits (50 I think) and then you can use 3. It also has vision, images, langchain, agents and chat with files, and very easy to switch between models to control cost. ai - if you code, this is the latest, cleanest path to adding functionality to your model, with open licensing. I have not dabbled in open-source models yet, namely because my setup is a laptop that slows down when google sheets gets too complicated, so I am not sure how it's going to fare The best ones for me so far are: deepseek-coder, oobabooga_CodeBooga and phind-codellama (the biggest you can run). Yes. In my experience, GPT-4 is the first (and so far only) LLM actually worth using for code generation and analysis at this point. OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. There's a free Chatgpt bot, Open Assistant bot (Open-source model), AI image generator bot, Perplexity AI bot, 🤖 GPT-4 bot (Now with Visual capabilities (cloud vision)! Basically, you simply select which models to download and run against on your local machine and you can integrate directly into your code base (i. OpenAI is an AI research and deployment company. r/LocalLLaMA. And then probably LLaVA (or one of it's forks) next. And in some cases it just responds with the translated agent prompt 🤦‍♂️ Do someone use a local llm for a similar case and want to share the prompt and the To answer your second question, OpenAI will probably keep GPT-3. You might look into mixtral too as it's generally great at everything, including coding, but I'm not done with evaluating it yet for my domains. It has to remain fully local. GPT-4 is censored and biased. 5 turbo is already being beaten by models more than half its size. And this was gpt-4o's answer: To conduct this experiment, I used an open-source "AI Gateway" library we've been working on. Local AI have uncensored options. See full list on github. Sure to create the EXACT image it's deterministic, but that's the trivial case no one wants. Some might need significant engineering (e. py” PyGPT is the best Open. well above the next best few. There's a free Chatgpt bot, Open Assistant bot (Open-source model), AI image generator bot, Perplexity AI bot, 🤖 GPT-4 bot (Now with Visual capabilities (cloud vision)! I was playing with the beta data analysis function in GPT-4 and asked if it could run statistical tests using the data spreadsheet I provided. I'm trying to setup a local AI that interacts with sensitive information from PDF's for my local business in the education space. Disclaimer - When serious about the best answer possible, I am still using GPT-4 via API. I'm a frequent traveler and just realized there are probably some good uses for Chat GPT with travel planning, recreation ideas in locations, picking the most logical multi-city itinerary, etc. I decided on llava… You can use GPT Pilot with local llms, just substitute the openai endpoint with your local inference server endpoint in the . ") and end it up with summary of LLM. Share designs, get help, and discover new features. I'm looking for good coding models that also work well with GPT Pilot or Pythagora (to avoid using ChatGPT or any paid subscription service) The best results were by far alltalk_tts, out of all those I tried. Yeah, exactly. At least as of right now, I think what models people are actually using while coding is often more informative. Got Lllama2-70b and Codellama running locally on my Mac, and yes, I actually think that Codellama is as good as, or better than, (standard) GPT. GPT Pilot is actually great. 7 trillion parameters (= neural connections or vairables that are fine-tuned through the llm model refinement process), whereas for local machines, 70B is about the current limit (so GPT4 has about 25x more parameters). I’m building a multimodal chat app with capabilities such as gpt-4o, and I’m looking to implement vision. This library provides a unified API for accessing and comparing 200+ language models from multiple providers, including OpenAI, Anthropic, Google, Cohere, and more. Otherwise check out phind and more recently deepseek coder I've heard good things about. She's going to need a nicer ChatGPT-like UI than I do, and ideally something with vision that would seamlessly be able to work on local files as well. 5 is not that good and stories are kinda boring,and super short, I have heard a lot of positive things about Deepseek coder, but time flies fast with AI, and new becomes old in a matter of weeks. As you can see I would like to be able to run my own ChatGPT and Midjourney locally with almost the same quality. ) Does anyone know the best local LLM for translation that compares to GPT-4/Gemini? Our vibrant Reddit community is the perfect hub for enthusiasts like you. g. Mar 19, 2023 · Fortunately, there are ways to run a ChatGPT-like LLM (Large Language Model) on your local PC, using the power of your GPU. Thanks! Yes, the app is designed to get models from, e. In my experience, CogVLM is the best one right now. I am looking for the best model in GPT4All for Apple M1 Pro Chip and 16 GB RAM. I am now looking to do some testing with open source LLM and would like to know what is the best pre-trained model to use. I think that's where the smaller open-source models can really shine compared to ChatGPT. Ollama + Crew. Reply reply {text} {instruction given to LLM} {query to gpt} {summary of LLM} I. 🌟 Exclusive insights into the latest advancements and industry news Definitely shows how far we've come with local/open models. com Aug 31, 2023 · Gpt4All developed by Nomic AI, allows you to run many publicly available large language models (LLMs) and chat with different GPT-like models on consumer grade hardware (your PC or laptop). I recently used their JS library to do exactly this (e. I don‘t see local models as any kind of replacement here. Many folks frequently don't use the best available model because it's not the best for their requirements / preferences (e. In essence I'm trying to take information from various sources and make the AI work with the concepts and techniques that are described, let's say in a book (is this even possible). 5 the same ways. For this task, GPT does a pretty task, overall. Doesn't have to be the same model, it can be an open source one, or… The goal of the r/ArtificialIntelligence is to provide a gateway to the many different facets of the Artificial Intelligence community, and to promote discussion relating to the ideas and concepts that we know of as AI. Which is the same reason why gpt-4 turbo 128000 is still a beta which is divided in two versions. And yeah, so far it is the best local model I have heard. 5-Turbo is still super useful and super cheap so I guarantee it will be used in intermediate prompt chains that don't need GPT-4 to do well. Ive used ai such as chatgpt before for this kind of thing but i find a common theme, that in terms of witting/ideas its pretty cheezy but also super bland and chiche. Most AI companies do not. Hopefully this quick guide can help people figure out what's good now because of how damn fast local llms move, and finetuners figure what models might be good to try training on. I'm surprised this one has flown under the radar. Now imagine a GPT-4 level local model that is trained on specific things like DeepSeek-Coder. I'm working on a product that includes romance stories. This shows that the best 70Bs can definitely replace ChatGPT in most situations. now the character has red hair or whatever) even with same seed and mostly the same prompt -- look up "prompt2prompt" (which attempts to solve this), and then "instruct pix2pix "on how even prompt2prompt is often unreliable for latent Yes, I've been looking for alternatives as well. Hi all, from store which is the best GPT or tool for coding? Also if you have tips on how to use chatgpt, especially gpt4 for coding share here. so im on the hunt for some free story ai the is ok and it would help if it was 7b or around that The official Framer Reddit Community, the web builder for creative pros. Wow, all the answers here are good answers (yep, those are vector databases), but there's no context or reasoning besides u/electric_hotdog2k's suggestion of Marqo. The q5-1 ggml is by far the best in my quick informal testing that I've seen so far out of the the 13b models. txt” or “!python ingest. As a member of our community, you'll gain access to a wealth of resources, including: 🔬 Thought-provoking discussions on automation, ChatGPT, and AI. To continue to use 4 past the free credits it’s $20 a month Reply reply I'm testing the new Gemini API for translation and it seems to be better than GPT-4 in this case (although I haven't tested it extensively. This would help speed and cost signficantly. AI companies can monitor, log and use your data for training their AI. I'm looking for a model that can help me bridge this gap and can be used commercially (Llama2). At this time GPT-4 is unfortunately still the best bet and king of the hill. I wish we had other options but we're just not there yet. Lets setup an equation that will allow us to do the math and compare the $20 per month subscription to a local FLAN model or similar. So you need an example voice (i misused elevenlabs for a first quick test). Point is GPT 3. GPT4All gives you the chance to RUN A GPT-like model on your LOCAL PC. 5 performance. 5 for free (doesn’t come close to GPT-4). It's still not as good as elevenlabs though, not by a longshot. However, you should be ready to spend upwards of $1-2,000 on GPUs if you want a good experience. Was much better for me than stable or wizardvicuna (which was actually pretty underwhelming for me in my testing). Sure, what I did was to get the local GPT repo on my hard drive then I uploaded all the files to a new google Colab session, then I used the notebook in Colab to enter in the shell commands like “!pip install -r reauirements. For those of you who are into downloading and playing with hugging face models and the like, check out my project that allows you to chat with PDFs, or use the normal chatbot style conversation with the llm of your choice (ggml/llama-cpp compatible) completely offline! Drop a star if you like it. Chat gpt 3. We are an unofficial community. Perhaps GPT-J, Opt-{6. If you want passable but offline/ local, you need a decent hardware rig (GPU with VRAM) as well as a model that’s trained on coding, such as deepseek-coder. , I don't give GPT it's own summary, I give it full text. 26 votes, 17 comments. But the quality is pretty good. Personally, I already use my local LLMs professionally for various use cases and only fall back to GPT-4 for tasks where utmost precision is In stories it's a super powerfull beast very easy would overperform even chat gpt 3. oglgm tgxrke xftn qup apba dvitqqe ujcezy nlbho dygpq ehkqhi