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Best local gpt reddit I downloaded it last month but it was full of bugs, but now it seems to be light years ahead. txt” or “!python ingest. 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. Business users who have built a backend to GPT-3 may need a small push to update to GPT-4. Dive into discussions about its capabilities, share your projects, seek advice, and stay updated on the latest Another important aspect, besides those already listed, is reliability. Local LLM demand expensive hardware and quite some knowledge. I'm working on a product that includes romance stories. I'm more skeptical about the fine-tuned llama-8b results, as it all depends on what was the generated dataset using gpt-4 MoA. Example Prompt: How to change a tire in a bike? OppositeDay At least, GPT-4 sometimes manages to fix its own shit after being explicitly asked to do so, but the initial response is always bad, even wir with a system prompt. I decided on llava 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. Run the code in cmd and give the errors to gpt, it will tell you what to do. I have an RX 6600 and an GTX 1650 Super so I don't think local models are a possible choise (at least for the same style of coding that is done with GPT-4). I don‘t see local models as any kind of replacement here. Perfect to run on a Raspberry Pi or a local server. 4% for MMLU (they used 5 shot, yay) and 95. Be respectful of other users and their Honestly, Copilot seems to do better for PowerShell. Sometimes I have to prompt engineer GPT-4 into actually Wow, you can apparently run your own ChatGPT alternative on your local computer. Thanks. Any online service can become unavailable for a number of reasons, be that technical outages at their end or mine, my inability to pay for the subscription, the service shutting down for financial reasons and, worsts of all, being denied service for any reason (political statements I made, other services I use etc. If you want good, use GPT4. So why not join us? PSA: For any Chatgpt-related issues email support@openai. I'm surprised this one has flown under the radar. 5 or even 4? I want to use it with prompt engineering for various NLP tasks such summarization, intent recognition, document The only frontends I know of are oobabooga (it's gradio so I refuse it) and LM Studio (insanely broken in cryptic ways all the time, silent outputs, etc. 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. The initial response is good Hey u/robertpless, if your post is a ChatGPT conversation screenshot, please reply with the conversation link or prompt. ive tried copilot for c# dev in visual studio. 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. Yes. LMStudio - quick and clean local GPT that makes it very fast and easy to swap around different open source models to test out. com; just look up the cmdlet and read how to use it. I'm new to AI and I'm not fond of AIs that store my data and make it public, so I'm interested in setting up a local GPT cut off from the internet, but I have very limited hardware to work with. I've since switched to GitHub Copilot Chat, as it now utilizes GPT-4 and has comprehensive context integration with your workspace, codebase, terminal, inline chat, and inline code fix features. 5 or 3. I'm not sure if I understand you correctly, but regardless of whether you're using it for work or personal purposes, you can access your own GPT wherever you're signed in to ChatGPT. It selects a function to use from the prompt and converts a conversation into a JSON format string, which is essential to build an accurate LLM application. Originally designed for computer architecture research at Berkeley, RISC-V is now used in everything from $0. For 7b uncensored wizardlm was best for me. GPT-4 is subscription based and costs money to OpenAI is an AI research and deployment company. task(s), language(s), latency, throughput, costs, hardware, etc) High Quality Story Writing Custom GPT focused on dialog, emotions, sensations, etc with Third Person and First Person versions - instructions shared openly so that it can also be used with local LLMs this means that people can use the Custom GPT as a System Prompt for a local LLM or for an LLM service that does not currently have a Custom If a lot of GPT-3 users have already switched over, economies of scale might have already made GPT-3 unprofitable for OpenAI. That being said, the best resource is learn. I like those 4. true. Also offers an OAI endpoint as a server. However, I can never get my stories to turn on my readers. I think that's where the smaller open-source models can really shine compared to ChatGPT. Hey u/Yemet1, if your post is a ChatGPT conversation screenshot, please reply with the conversation link or prompt. View community ranking In the Top 50% of largest communities on Reddit. run models on my local machine through a Node. A very useful list. It hallucinates cmdlets and switches way less than ChatGPT 3. I can tell you this: The biggest deal is that Claude 3 Opus is better able to handle extremely large context windows. i only signed up for it after discovering how much chatgpt has improved my productivity. 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. Not ChatGPT, no. Even if I don't reply to your comment, I'm still listening for votes. So now after seeing GPT-4o capabilities, I'm wondering if there is a model (available via Jan or some software of its kind) that can be as capable, meaning imputing multiples files, pdf or images, or even taking in vocals, while being able to run on my card. Users can leverage advanced NLP capabilities for information retrieval, As you can see I would like to be able to run my own ChatGPT and Midjourney locally with almost the same quality. PyGPT is the best Open. I have *zero* concrete experience with vector databases, but I care about this topic a I use Claude Opus 3 all day, every day alongside GPT-4 Turbo (and my ChatGPT/Gemini/etc. For most purposes it works brilliantly, enhancing model logic and reasoning. But there is now so much competition that if it isn't solved by LLaMA 3, it may come as another Chinese Surprise (like the 34B Yi), or from any other startup that needs to publish something "on the bleeding edge" to Thanks! Absolutely agree that GPT-4 has been an amazing resource for training. In my experience, GPT-4 is the first (and so far only) LLM actually worth using for code generation and analysis at this point. We discuss setup, optimal settings, and the challenges and Local GPT (completely offline and no OpenAI!) 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 GPT4All gives you the chance to RUN A GPT-like model on your LOCAL PC. 5 in performance for most tasks. Pity. 5-Turbo active for as long as GPT-4 is the best availble model or GPT-4-Turbo is released. 5 or 4. 🤷🏾‍♂️ it's a weird time we live in but it really works. js script) and got it to work pretty quickly. This library provides a unified API for accessing and comparing 200+ language models from multiple providers, including OpenAI, Welcome to the official subreddit of the PC Master Race / PCMR! All PC-related content is welcome, including build help, tech support, and any doubt one might have about PC ownership. tons of errors but never reports anything to the user) and also I'd like to use GPT-4 sometimes. So not ones that are just good at roleplaying, unless that helps with dialogue. 70b+: Llama-3 70b, and it's not close. microsoft. It is based on GPT-4, Google Gemini and Mistral. At the moment I'm leaning towards h2o GPT (as a local install, they do have a web option to try too!) but I have yet to install it myself. Available for free at home-assistant. cpp, and ElevenLabs to convert the LLM reply to audio in near real-time. deepspeed) to work on limited vram GPT-4 is censored and biased. GPT-4, and DALL·E 3. I was wondering if any of ya’ll have any recommendations for which models might be good to play around with? Useful While there are tons of free alternatives to ChatGPT out there, not many options can be used on a local PC. The best results were by far alltalk_tts, out of all those I tried. Qdrant is a vector similarity engine and database that deploys as an API service for searching high-dimensional vectors. Home Assistant is open source home automation that puts local control and privacy first. At least as of right now, I think what models people are actually using while coding is often more informative. 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. so i figured id checkout copilot. js or Python). Here's a video tutorial that shows you how. But the quality is pretty good. by qznc_bot2. 12/kWh) and labor (assuming $25/hour). cpp, Phi-3-Mini on Llama. It’s a graphical user interface for interacting with generative AI chat bots. tl;dr. Perhaps GPT-J, Opt-{6. For example: GPT-4 Original had 8k context Open Source models based on Yi 34B have 200k contexts and are already beating GPT-3. Assuming the model uses 16-bit weights, each parameter takes up two bytes. Sure to create the EXACT image it's deterministic, but that's the trivial case no one wants. 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. OpenAI makes ChatGPT, GPT-4, and DALL·E 3. In your experience, what is the best performing model so far? How does it compare with GPT 3. 0 from Databricks have both been released in the past few days and both work really well. e. 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. You literally just need one example, but if you put some thought into the examples it will see a pattern in your expectations. We're also looking for new moderators, apply here Update: While you're here, we have a public discord server now — We have a free ChatGPT bot on discord for everyone to use! Quick intro. I totally agree with you, to get the most out of the projects like this, we will need subject-specific models. Night and day difference. 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)!) and channel for latest prompts! Hey u/MZuc, if your post is a ChatGPT conversation screenshot, please reply with the conversation link or prompt. I wish we had other options but we're just not there yet. ycombinator comment sorted by Best Top New Controversial Q&A Add a Comment. There are tons of finetuned versions, the best landing somewhere between gpt-3 and gpt-3. You can then choose amongst several file organized by quantization To choose amongst them, you take the biggest one compatible. This depends of the complexity of your document and the type of summary you need. 5 in these tests. And these initial responses go into the public training datasets. Response: Let's define C as the cost of running a local large language model, including hardware (Nvidia RTX 3090), electricity (assuming $0. 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 A mirror of Hacker News' best submissions. Some LLMs will compete with GPT 3. Qwen2 came out recently but it's still not as good. GPT Pilot is actually great. If it run smootly, try with a bigger model (Bigger quantization, then more parameter : Llama 70B ). One more proof that CodeLlama is not as close to GPT-4 as the coding benchmarks suggest. This would help speed and cost signficantly. Why I Opted For a Local GPT-Like Bot GPT-3. r/LocalLLaMA. bin (which is the one i found having most decent results for my hardware) But that already requires 12gb which is more ram that any raspberry pi has. We discuss setup, optimal settings, and any challenges and accomplishments associated with running large models on personal devices. ai local (desktop) client I have found to manage models, presets, and system prompts. 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 and GPT-4 and several programs to carry out every step needed to achieve whatever goal they’ve set. 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)!) and channel for latest prompts! Inspired by the launch of GPT-4o multi-modality I was trying to chain some models locally and make something similar. Was much better for me than stable or wizardvicuna (which was actually pretty underwhelming for me in my testing). 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 with something more advanced. It also has vision, images, langchain, agents and chat with files, and very easy to switch between models to control cost. This subreddit is dedicated to discussing the use of GPT-like models (GPT 3, LLaMA, PaLM) on consumer-grade hardware. well above the next best few. photorealism. I just installed GPT4All on a Linux Mint machine with 8GB of RAM and an AMD A6-5400B APU with Trinity 2 Radeon 7540D. The impact of capitalistic influences on the platforms that once fostered vibrant, inclusive communities has been devastating, and it appears that Reddit is the latest casualty of this ongoing trend. But it's not the same as Dalle3, as it's only working on the input, not the model itself, and does absolutely nothing for consistency. I just want to share one more GPT for essay writing that is also a part of academic excellence. Their GitHub: Keep data private by using GPT4All for uncensored responses. Free version of chat GPT if it's just a money issue since local models aren't really even as good as GPT 3. Hey u/AnAlchemistsDream, please respond to this comment with the prompt you used to generate the output in this post. 0010 / 1k tokens for input and double that for output for the API usage. Definitely shows how far we've come with local/open models. 3%. 85 quants the best. 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)!) and channel for latest prompts! 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. What makes Auto-GPT reasonably capable is its ability to interact with apps, software and services both online and local, like web browsers and word processors. 5 on most tasks The question above was generated by GPT. I have tested it with GPT-3. At this time GPT-4 is unfortunately still the best bet and king of the hill. But for now, GPT-4 has no serious competition at even slightly sophisticated coding tasks. We are an unofficial community. 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 GPT (completely offline and no OpenAI!) github. I work with the Llama family (13B for economic reasons). Hopefully, this will change sooner or later. ' This country has recently passed a law that allows AI to legally own intellectual property. 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. There's a few "prompt enhancers" out there, some as chatgpt prompts, some build in the UI like foocus. 7B / 13B} and GPT-Neox20B are the best alternatives. qznc_bot2 • This bot wants to find the best and worst bots on Reddit. 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. 1 or its variants. All the buzz and SEO crap makes this hard to search for so I’m just going ask here. On links with friends today Wendell mentioned using a loacl ai model to help with coding. Doesn't have to be the same model, it can be an open source one, or This subreddit is dedicated to discussing the use of GPT-like models (GPT 3, LLaMA, PaLM) on consumer-grade hardware. Try the Nous-Research first, one of the best finetune available for Llama2. If someone wants to install their very own 'ChatGPT-lite' kinda chatbot, consider trying GPT4All. If it was related closely to the benchmark tasks, of course the llama-8b would outperform. Compute requirements scale quadratically with context length, so it's not feasible to increase the context window past a certain point on a limited local machine. Free and without advertising It Subreddit about using / building / installing GPT like models on local machine. Members Online. ai - if you code, this is the latest, cleanest path to adding functionality to your model, with open licensing. Posted by u/Tgamerydk - 1 vote and no comments 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. Jokester GPT - A master of humor, Jokester GPT generates jokes, puns, and witty comebacks, suitable for lightening the mood or adding humor to a conversation. The seven AI language models below are game-changers, giving you a chatbot similar to ChatGPT to play with at your own Fortunately, there are ways to run a ChatGPT-like LLM (Large Language Model) on your local PC, using the power of your GPU. gpt4-x-vicuna is a mixed model that had Alpaca fine tuning on top of Vicuna 1. You can ask GPT-4 to generate questions, too. This is the best place on Reddit to post philosophy memes! If you're looking for more formal philosophy discussion please check out r/philosophy. Still leaving the comment up as guidance for other Vicuna flavors. 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 {text} {instruction given to LLM} {query to gpt} {summary of LLM} I. There's a few things to iron out, but pretty happy with it so far. Here's an easy way to install a censorship-free GPT-like Chatbot on your local machine. We have a public discord server. So you need an example voice (i misused elevenlabs for a first quick test). r/MacApps is a one stop shop for all things related to macOS apps - featuring app showcases, news, updates, sales, discounts and even freebies. Yes, I've been looking for alternatives as well. 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) 18 votes, 15 comments. LocalGPT overcomes the key limitations of public cloud LLMs by keeping all processing self-contained on the local device. There are even more tools popping up, like GPT-Engineer (for starting codebases or improving existing ones?), Auto-GPT (heard mixed things about it), and Code Llama (looks brand new). 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)!) and channel for latest prompts! Hey u/GhostedZoomer77, if your post is a ChatGPT conversation screenshot, please reply with the conversation link or prompt. Example: I asked GPT-4 to write a guideline on how to protect IP when dealing with a hosted AI chatbot. Cost and Performance. g. I'm looking for the best uncensored local LLMs for creative story writing. GPT-4 requires internet connection, local AI don't. LocalGPT is a subreddit dedicated to discussing the use of GPT-like models on consumer-grade hardware. AI companies can monitor, log and use your data for training their AI. The game features a massive, gorgeous map, an elaborate elemental combat system, engaging storyline & characters, co-op game mode, soothing soundtrack, and much more for you to explore! 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. io. for me it gets in the way with the default "intellisense" of visual studio, intellisense is the default code completion tool which is usually what i need. You can use GPT Pilot with local llms, just substitute the openai endpoint with your local inference server endpoint in the . I'm looking for the closest thing to gpt-3 to be ran locally on my laptop. I was able to achieve everything I wanted to with gpt-3 and I'm simply tired on the model race. I want to run something like ChatGpt on my local machine. But yeah, when it comes to long form creative writing, GPT-4’s style is very distinctive and same-ish (dry, long-winded, and it tries to wrap everything in a bow). py” This user profile has been overwritten in protest of Reddit's decision to disadvantage third-party apps through pricing changes. Despite having 13 billion parameters, the Llama model outperforms the GPT-3 model which has 175 billion parameters. Post your Philosophy-related memes here 133 votes, 67 comments. Run the local chatbot effectively by updating models and categorizing documents. Was wondering what the current best model to run is. Thanks! Ignore this comment if your post doesn't have a prompt. Yeah, exactly. 3% for HellaSwag (they used 10 shot, yay). GPT4All-J from Nomic-AI and Dolly 2. I don't own the necessary hardware to run local LLMs, but I can tell you two important general principles. Your documents remain solely under your control until you choose to share your GPT with someone else or make it public. GPT falls very short when my characters need to get intimate. I am looking for the best model in GPT4All for Apple M1 Pro Chip and 16 GB RAM. Hey u/uzi_loogies_, if your post is a ChatGPT conversation screenshot, please reply with the conversation link or prompt. It started at 1310 and is now at 1287, and could drop more. 0 is based on Pythia and used a 15k instruct dataset generated by View community ranking In the Top 5% of largest communities on Reddit. Node. We also discuss and compare different models, along with Gpt4 is not going to be beaten by a local LLM by any stretch of the imagination. We have a free Chatgpt bot, Open Assistant bot (Open-source model), AI image generator bot, Perplexity AI bot, GPT-4 bot (Now with Visual capabilities! So why not join us? PSA: For any Chatgpt-related issues email support@openai. OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. It's still not 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. I tend to get better perplexity using GGUF 4km than GPTQ even at 4/32g. 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. Many folks frequently don't use the best available model because it's not the best for their requirements / preferences (e. Powered by a worldwide community of tinkerers and DIY enthusiasts. Other image generation wins out in other ways but for a lot of stuff, generating what I actually asked for and not a rough approximation of what I asked for based on a word cloud of the prompt matters way more than e. In order to prevent multiple repetitive comments, this is a friendly request to u/PwPhilly to reply to this comment with the prompt they used so other users can experiment with it as well. r/LocalGPT Lounge . 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). Here is what I did: On linux, ran a ddns client with a free service (), then I have a domain name pointing at my local hardware. Total noob here. Thanks especially for voice to text gpt that will be useful during lectures next semester. for the server, early, we just used oobabooga and the api & openai extensions. A user tells Auto-GPT what their goal is and the bot, in turn, uses GPT-3. For example: Alpaca, Vicuna, Koala, WizardLM, gpt4-x-alpaca, gpt4all But LLaMa is released on a non-commercial license. 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. Edit 3: Your mileage may vary with this prompt, which is best suited for Vicuna 1. [NOT LAUNCHED YET - ALPHA TESTING] A Hacker News mirror biased in favor of thoughtful discussion AutoGen is a groundbreaking framework by Microsoft for developing LLM applications using multi-agent conversations. 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. The best hope is probably metas RISC-V (pronounced "risk-five") is a license-free, modular, extensible computer instruction set architecture (ISA). I'm looking for something with performance as close as possible to gpt 3. For the time being, I can wholeheartedly recommend corporate developers to ask their boss to use Azure OpenAI. Rules and Guidelines. Some might need significant engineering (e. With local AI you own your privacy. For this task, GPT does a pretty task, overall. com. 1K subscribers in the patient_hackernews community. It can be I missed something about the rtx experience, but still, if you compare 25$ with (at least) 400$ the GPU, you can have gpt for almost two years and the experience will be better (and they will keep improving it). Can't wait til I can HOPEFULLY buy a laptop cause I hate the restrictions these AI sites have. 5, but I can reduce the overall cost - it's currently Input: $0. accounts (and local stuff)). 5 is still atrocious at coding compared to GPT-4. I dont think any model you can run on a single commodity gpu will be on par with gpt-3. There seems to be a race to a particular elo lvl but honestl I was happy with regular old gpt-3. Huge problem though with my native language, German - while the GPT models are fairly conversant in German, Llama most definitely is not. Also EXL with different calibration sets blows shit away. Today I released the first version of a new app called LocalChat. while copilot takes over the intellisense and provides some Dall-E 3 is still absolutely unmatched for prompt adherence. 5 turbo. They told me that the AI needs to be trained already but still able to get trained on the documents of the company, the AI needs to be open-source and needs to run locally so no cloud solution. Hi everyone, I'm currently an intern at a company, and my mission is to make a proof of concept of an conversational AI for the company. Attention! [Serious] Tag Notice: Jokes, puns, and off-topic comments are not permitted in any comment, parent or child. then on my router i forwarded the ports i needed (ssh/api ports). The latency to get a response back from the OpenAI models is slower than local LLMs for sure and even the Google models. Hey u/3773vj, please respond to this comment with the prompt you used to generate the output in this post. I'm not savvy on building Custom GPTs, using open source or what the tech requirements for an individual like me would be and I would like to better understand if there are any options out there and how to We have a free Chatgpt bot, Bing chat bot and AI image generator bot. New addition: GPT-4 bot, Anthropic AI(Claude) bot, Meta's LLAMA(65B) bot, and Perplexity AI bot. I ended up using Whisper. I asked for help to GPT since I am not a native English speaker. along with which ones are best suited for consumer-grade hardware. 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. Here's one GPT-4 gave me, "Imagine a hypothetical world where sentient AI has become commonplace, and they have even formed their own nation called 'Artificialia. Share designs, get help, and discover new features. com . I'm mostly looking for ones that can write good dialogue and descriptions for fictional stories. GPT-3. 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. 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)! LLMs aren't precise, they get things wrong, so it's best to check all references yourself. It's like an offline version of the ChatGPT desktop app, but totally free and open-source. Local LLMs are on-par with GPT 3. Members Online Any tips on creating a custom layout? View community ranking In the Top 5% of largest communities on Reddit. Hey u/ArtisanBoi, if your post is a ChatGPT conversation screenshot, please reply with the conversation link or prompt. Planning to add code analysis & image classification, once I redesign the UI. Ask HN: What's the best self hosted/local alternative to GPT-4? news. Otherwise check out phind and more recently deepseek coder I've heard good things about. The Llama model is an alternative to the OpenAI's GPT3 that you can download and run on your own. It started development in late 2014 and ended June 2023. However, you should be ready to spend upwards of $1-2,000 on GPUs if you want a good experience. 5. 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. There's a free Chatgpt bot, Open Assistant bot (Open-source model), AI image Hey Open Source! I am a PhD student utilizing LLMs for my research and I also develop Open Source software in my free time. 1, so the best prompting might be instructional (Alpaca, check Hugging Face page). However it looks like it has the best of all features - swap models in the GUI without needing to edit config files manually, and lots of options for RAG. I'm trying to get a sense of what are the popular ChatGPT front-ends that let you use your API key. Ollama + Crew. So there are 4 benchmarks: arc challenge set, Hellaswag, MMLU, and TruthfulQA According to OpenAI's initial blog post about GPT 4's release, we have 86. Not 3. But if you have the correct references already, you could use the LLM to format them nicely. As each GPT completes a task I need to carry the output or result onto the next to continue the process. Is there a good turnkey docker container (or similar) to just Jan is a privacy-first AI app that runs AI locally on any hardware. My original post was ChatGPT has a feature called function calling and it is great. Thanks for sharing your experiences. Artificial intelligence is a great tool for many people, but there are some restrictions on the free models that make it difficult to use in some contexts. I'm looking for a model that can help me bridge this gap and can be used commercially (Llama2). Open-source and available for commercial use. GPT4ALL - best model for retrieving customer information from localdocs 🐺🐦‍⬛ Huge LLM Comparison/Test: 39 models tested (7B-70B + ChatGPT/GPT-4) What is considered the best local uncensored LLM right now? r/LocalLLaMA To answer your second question, OpenAI will probably keep GPT-3. ") and end it up with summary of LLM. 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)!) and channel for latest prompts. The official Framer Reddit Community, the web builder for creative pros. 39 votes, 31 comments. Apollo was an award-winning free Reddit app for iOS with over 100K 5-star reviews, built with the community in mind, and with a focus on speed, customizability, and best in class iOS features. 10 CH32V003 microcontroller chips to the pan-European supercomputing initiative, with 64 core 2 GHz workstations in between. This shows that the best 70Bs can definitely replace ChatGPT in most situations. I’m building a multimodal chat app with capabilities such as gpt-4o, and I’m looking to implement vision. It has to remain fully local. Members Online Sam Altman: OpenAI, GPT-5, Sora, Board Saga, Elon Musk, Ilya, Power & AGI | Lex Fridman Podcast #419 They did not provide any further details, so it may just mean "not any time soon", but either way I would not count on it as a potential local GPT-4 replacement in 2024. 5 plus or plugins etc. Not completely perfect yet, but very good. 5 and GPT-4. Just be aware that running an LLM on a raspberry might not give the results you want. Chat-GPT works well with this sort of instruction, but for local LLMs all you need to have in your context (character card) are a few example exchanges with: Your input (subject) and bots reply (a desireable SD prompt). You can view results here. It's an easy download, but ensure you have enough space. Arc is also listed, with the same 25-shot methodology as in Open LLM leaderboard: 96. . 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. env file. That is an interesting strategy for GPT-4 MoA, thanks for the blog. I'm trying to setup a local AI that interacts with sensitive information from PDF's for my local business in the education space. Premium Explore Gaming Reddit iOS Reddit Android Reddit Premium About Reddit Advertise Blog Careers Press. I’ve fine tuned each stage to a good point where I’d love to see this thing run on it’s own without having me involved and also let it run in a large feedback loop. 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 required, like coding/scripting. However, it's a challenge to alter the image only slightly (e. GPT4All-J is based on GPT-J and used data generated from the OpenAI 3. I've had some luck using ollama but context length remains an issue with local models. 65 bpw. I haven't had a ton of success using ChatGPT for PowerShell beyond really basic stuff I already know how to do or have a framework / example for. The max is 200,000 tokens, though quality of output degrades long before you get to that 200,000 limit. 0. I much prefer the "pay as you go" nature of the API and the increased customizability of the third-party front-ends. It's a weird messy project though, very artisanal with a massive super long/messy web page as the interface etc. OpenAI does not provide a local version of any of their models. , I don't give GPT it's own summary, I give it full text. Latency is a big deal for my use case so was considering some local options. I believe it uses the GPT-4-0613 version, which, in my opinion, is superior to the GPT-turbo (GPT-4-1106-preview) that ChatGPT currently relies on. GPT4All: Run Local LLMs on Any Device. Oooba's more scientific tests show that exl2 is the best format though and it tends to subjectively match for me on >4. Most AI companies do not. Reply reply Personally, I will use openai's playground with gpt-4 to have it walk me through the errors. 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 A few questions: How did you choose the LLM ? I guess we should not use the same models for data retrieval and for creative tasks Is splitting with a chunk size/overlap of 1000/200 the best for these tasks ? Did a quick search on running local LLMs and alternatives, but a lot of posts are old now, so I wanted to ask what other solutions are out there currently or in the near future. And yeah, so far it is the best local model I have heard. Specs : 16GB CPU RAM 6GB Nvidia VRAM 26 votes, 17 comments. 5-turbo API, so it has limits on commercial use (cannot be used to compete against OpenAI), but Dolly 2. Well the code quality has gotten pretty bad so I think it's time to cancel my subscription to ChatGPT Plus. It allows for APIs that support both Sync and Async requests and can utilize the HNSW algorithm for Approximate Nearest Neighbor Search. : Help us by reporting comments that violate these rules. Also they are not able to correctly summarise documents that are more than a couple thousand words long. I believe the best AI App available now is 'AiSpica' for android. Hey Acrobatic-Share I made this tool here (100% free) and happen to think it's pretty good, it can summarize anywhere from 10 - 500+ page documents and I use it for most of my studying (am a grad student). I recently used their JS library to do exactly this (e. Subreddit about using / building / installing GPT like models on local machine. Local AI have uncensored options. Frosting. ai doesn't allow any 'age related' language to protect fake depictions of children (I wanted a char to look their canon age of 18 rather then the early 30s the regular generation gives you). Punches way above it's weight so even bigger local models are no better. i think the ooba api is better at some things, the openai compatible api is handy for others. But I decided to post here anyway since you guys are very knowledgeable. Any suggestions on this? Additional Info: I am running windows10 but I also 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. But there even exist full open source alternatives, like OpenAssistant, Dolly-v2, and gpt4all-j. Basically, I'm lost! This doesn't directly answer your question, but GPT-4o ELO score has been dropping quite a bit. Thanks for testing it out. 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 Which is the same reason why gpt-4 turbo 128000 is still a beta which is divided in two versions. What sucks with GGUF is the context re-processing. It works well locally and on Vercel. Search for Llama2 with lmstudio search engine, take the 13B parameter with the most download. As for free alternatives blooms 176 billion model is probably your best option, also AI21 labs 178 billion model might be worth a look, it's not free but it's far cheaper than Gpt-3 and you get a $90 free trial if I remember correctly, but Sadly none of the alternatives are really anywhere near as good as Gpt-3. I need something lightweight that can run on my machine, so maybe 3B, 7B or 13B. Now imagine a GPT-4 level local model that is trained on specific things like DeepSeek-Coder. Works fine but in our case we need to fine tune it with GPT generated summaries to get proper results (around 6k for one epoch). Thanks! We have a public discord server. ) Best option for lower-end hardware: alpaca-7b-native-enhanced Better for mid to high range: gpt4-x-alpaca-13b-native-4bit-128g or alpaca-30b-lora-int4 Then it's more about what software you use to get the model running, and if you train it further, and how quickly those models available now get replaced by even better options. I worded this vaguely to promote discussion about the progression of local LLM in comparison to GPT-4. If you even get it to run, most models require more ram than a pi has to offer I run gpt4all myself with ggml-model-gpt4all-falcon-q4_0. This is the official community for Genshin Impact (原神), the latest open-world action RPG from HoYoverse. 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