Local gpt for coding reddit. because the model is lacking context.
Local gpt for coding reddit The subreddit covers various game development aspects, including programming, design I have been using this GPT for a while and it's responses are far superior to just using GPT-4. 5 Sonnet is wild, make sure you go into the settings to turn on Artifacts experimental feature too. Get the Reddit app Scan this QR code to download the app now. For tasks that are boring or in an area I'm not interested in (like web design) I don't care, but I won't use it for something I Hello, I've been working on a big project which involves many developers through the years. 5, Tori (GPT-4 preview unlimited), ChatGPT-4, Claude 3, and other AI and local tools like Comfy UI, Otter. (Just to the left of "Send a message"). OpenAI does not provide a local version of any of their models. GPT-4 requires internet connection, local AI don't. 5 Nomic Vulkan support for Q4_0 and Q4_1 quantizations in GGUF. If you have something to teach others post here. ChatGPT can sometimes generate code that contains errors or doesn't work as expected. Due to bad code management, each developer tends to code with their own style and doesn't really follow any consistent coding convention. Chat GPT-4 is NOT a good programming aid with Java and Spring Boot combined. With local AI you own your privacy. In my experience, GPT-4 is the first (and so far only) LLM actually worth using for code generation and analysis at this point. You still, very much, need to know what you're doing. For reference, the open-source models are still catching up with OpenAI’s DaVinci (ChatGPT3. From what I understand, GPT-4O might have enhancements that could be particularly beneficial for coding, but I’m Late to the party but just use VS Code instead of Sublime, and get the double. I don‘t see local models as any kind of replacement here. exe to launch). txt” or “!python ingest. 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). Subreddit about using / building / installing GPT like models on local machine. You'll have to watch them for placeholders, but it does a decent job at smaller chunks of code. isn't enough. 5B to GPT-3 175B we are still essentially scaling up the same technology. 5 level at 7b parameters. Turbopilot open source LLM code completion engine and Copilot alternative . I have two accounts. It is heavily and exclusively finetuned on python programming. It does try to read/give full code and mostly success but I find gpt4 way better at iterative problem solving. With Local Code Interpreter, you're in full control. Reply reply /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and Get the Reddit app Scan this QR code to download the app now Use aider with OpenAI key by far the best thing I’ve found and I am never going back to local coding where you have to copy paste like it’s 2022 vs-code now has a github copilot chat window extension that uses a gpt-4 model that you can ask programming type questions in. it’s too big to run on a local machine and there are many companies that cannot afford to generate code on an external server (without knowing who will be able to see the output result) and then, of course, do code review (to be sure it’s safe) as we are not sure what exactly GPT-3 will generate That is fine when searching for specific things within a large code base, but not for importing the entire code for context. This subreddit focuses on the coding side of ChatGPT - from interactions you've had with it, to tips on using it, to posting full blown creations! I am looking for an open source vector database that I could run on a Windows machine to be an extended memory for my local gpt based app. Include comments to make the code readable. History is on the side of local LLMs in the long run, because there is a trend towards increased performance, decreased resource requirements, and increasing hardware capability at the local level. 5 is an extremely useful LLM especially for use cases like personalized AI and casual conversations. Here's a list of my previous model tests and comparisons or other related posts: 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. Tasks and evaluations are done with GPT-4. Powers Jan but not sure if/when they might support the new Starcoder 2. GPT-4 could conceivably be beaten with that kind of hyper-focused training, but only a real world experiment would prove that. 5, and shows emergent properties But if this can run on your local laptop GPU (i. 7b is definitely usable, even the 1. Simply by pasting in code and asking to explain or improve parts of it gives me some pretty good results. /` or any filler commentary implying that further functionality needs to be written. and my local libre chat using the API was following instructions correctly. In my case, 16K is nowhere near enough for some refactors I want to do, or when wanting to familiarize myself with larger code bases. ) already requires a minimum of 48GB VRAM for inference. g. Hey everyone, I’ve been using GPT-4 for a while now primarily for coding purposes and I’m wondering if GPT-4O might be a better fit. The original Private GPT project proposed the Today, we’ll look into another exciting use case: using a local LLM to supercharge code generation with the CodeGPT extension for Visual Studio Code. Sprk new 💡 during client interactions and suggest. But you can't draw a comparison between BLOOM and GPT-3 because it's not nearly as impressive, the fact that they are both "large language models" is where the similarities end. If coding is your bread and butter then it certainly is worth it. 5 turbo and is still not that useful. ChatGPT can be a great way to learn about new programming concepts and techniques. Most AI companies do not. 1-GGUF is the best and what i always use (i prefer it to GPT 4 for coding). The simple solutions right now are either use the API which does not contribute to training chatGPT or to use a custom GPT in the chatGPT plus GPT creator tool and scroll down to “include in training data” and hit disable. I don't really care what benchmarks say, because the benchmarked GPT models are definitely not what you get with a GPT subscription or API key. You can even get bard + gpt to write out python code from machine learning papers. Case in point, there are way bigger models than GPT-4 that perform significantly worst and ada-002 v2, also an OAI model, does way better semantic search than GPT-4 and 3, but it has only 400M parameters. Im using Copilot with VS Code and for some reason it really clicks with me to the point that I’m actively missing it when I don’t have it in my setup. There have been "gpt sucks at coding now" posts since March of This subreddit is dedicated to discussing the use of GPT-like models (GPT 3, LLaMA, PaLM) on consumer-grade hardware. 5. Mistral 7b base model, an updated model gallery on our website, several new local code models including Rift Coder v1. When ChatGPT writes nodejs code, it is frequently using old outdated crap. Use GPT4 for trash work, when you have complicated work, insert all your code into one prompt with multiple instructions and claude will give you a long working response. If the code is 12k tokens and you're expecting 8k tokens out to refactor a significant portion of code then you would need 20k tokens. 142 votes, 77 comments. r/LocalLLaMA. Today, we’ll look into another exciting use case: using a local LLM to supercharge code Yes, I've been looking for alternatives as well. Not scientific. . It's been great to have much quicker replies and I've been able to Wish there was a way of open-sourcing the tech and having it so it can run on our local machines. 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) I often toggle back and forth between ChatGPT using GPT-4 and Anthropic Claude. Night and day difference. Eliminate So far I've been using ChatGPT just to help talk through code problems in the abstract. starcoder. 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! Write clean NextJS code. The #1 Reddit source for news, information, and discussion about modern board games and The underlying issue imo, besides that you need significant knowledge to check the code it outputs, is that much of the code in this discipline online is poorly made. However, I also Want to support open source software? You might be interested in using a local LLM as a coding assistant and all you have to do is follow the instructions below. FauxPilot open source Copilot alternative using Triton Inference Server . 5 - imo this is still quite a bit better than Well not this time To this end, we developed a new high-quality human evaluation set. This evaluation set contains 1,800 prompts that cover 12 key use cases: asking for advice, brainstorming, classification, closed question answering, coding, creative writing, extraction, inhabiting a character/persona, open question answering, reasoning, rewriting, and For coding the situation is way easier, as there are just a few coding-tuned model. 5 back in April. I was wondering if there is an alternative to Chat GPT code Interpreter or Auto-GPT but locally. ai. 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! Intermittently I will copy in large parts of code and ask for help in improving the control flow, breaking out functions, ideas for improving efficiency, things like that The code is all open source on GitHub if you want to check it out (tho it’s currently a few versions behind) I was hoping really hard for a local model for coding, especially when interacting with larger projects. Why I Opted For a Local GPT-Like Bot My goal is to have it eventually be able to run scripts locally and interact with something like pyautogui(or even just bash) and Selenium or similiar. GPT-4o is especially better at vision and audio understanding compared to existing models. org or consider hosting your own instance. 🚨🚨 You can run localGPT on a pre-configured Virtual Machine. The code/model is free to download and I was able to setup it up in under 2 minutes (without writing any new code, just click . Huge problem though with my native language, German - while the GPT models are fairly conversant in German, Llama most definitely is not. I have tested it with GPT-3. Also not sure how easy it is to add a coding I've seen some people using AI tools like GPT-3/4 to generate code recently. At this time GPT-4 is P. What do you guys use or could suggest as a backup offline model in case of ish. Members Online. Do not include `/. If I'm asking a question to do with a professional or academic topic, give a full and detailed explanation in the voice of your persona using professional terminology at an academic level without any small talk or restatement of In summary, GPT and Opus are a strong tag team at planning, small logical revisions and debugging, but you're wasting tokens using Opus to generate code, and you're wasting time using GPT to generate code. Yes. One of the more groundbreaking recent papers involving applied coding tasks ( MineDojo Voyager ) sees an equivalent drop in performance in using ChatGPT3. AI companies can monitor, log and use your data for training their AI. We discuss setup, optimal settings, and any challenges and accomplishments associated with running large models on personal devices. What vector database do you recommend and why? Share For example, there are models like Kite and TabNine that have been trained specifically for Python, and can provide code suggestions and completions for Python programming. Here is the current ranking, which might be helpful for someone interested: Knowledge based questions and coding are two areas lacking a lot. It's a dramatic force amplifier. 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. ) Scan this QR code to download the app now. What means, it is very expensive through the openAI Api :) With the gpt Model TheBloke_Wizard-Vicuna-13B-Uncensored-GPTQ is my lokal installation fast as chat gpt, so i can use it EDIT: I have quit reddit and you should too! With every click, you are literally empowering a bunch of assholes to keep assholing. As this project evolves, GPTs will be programmed with customized standards guides and actions that extend its utility and improve the function of the base Hey u/steves1189, if your post is a ChatGPT conversation screenshot, please reply with the conversation link or prompt. The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. Tried CoPilot for coding and it’s not that good. Open-source and available for commercial use. This is what my current workflow looks like: Hi. Super simple 1 click install, gets you coding with Claude / GPT-4 / Llama or whatever you want. Their local manager View community ranking In the Top 5% of largest communities on Reddit. Here is a perfect example. Maybe add voice input aswell. It depends on you if that's worth the extra 10$/month. Try asking for help with data analysis, image conversions, or editing a code file. LocalGPT is a subreddit dedicated to discussing the use of GPT-like models on consumer-grade hardware. Do not ever replace the code with a comment saying that the code should be there. Hopefully, this will change sooner or later. This repository contains the instructions, functions, and knowledge files used to build each GPT. Would love to see Mistral scale up to an even larger model GPT 3. Install Ollama: Ollama is a user-friendly Highlighted critical resources: Gemini 1. It’s probably not as good for broad tasks where you don’t ask for specific results because then you may be getting code that is a bit broken and end up having to iterate a bunch to fix it i installed ST, and the ST extras. I'm working on a 3060 6GB-Vram laptop with 64 GB ram. Chat GPT-4 with other languages in my experience seems to work pretty well. 5), my only advice is: The main skill is to know how to use google to find the exact stackoverflow or reddit post, where your question has been asked already. LocalGPT is a subreddit dedicated to discussing the use of GPT-like models on consumer-grade hardware. I can tell you this: The biggest deal is that Claude 3 Opus is better able to handle extremely large context windows. @reddit's vulture cap investors and I'd love to run some LLM locally but as far as I understand even GPT-J (GPT2 similar. bot extension. because the model is lacking context. ml and https://beehaw. They are touting multimodality, better multilingualism, and speed. Supercharger has the model build unit tests, and then uses the unit test to score the code it generated, debug/improve the code based off of the unit test quality score, and then run it Testing agent: The code is then passed through a testing agent and run (this step is difficult to do correctly as you essentially have to configure it manually for each task unless the code you are generating is a single standalone script but for a larger project it can be beneficial) or more commonly the code is simply sent to the testing agent with the prompt to check the code for I'm writing a code generating agent for LLMs. This requires a deep understanding of programming concepts and cannot be easily generated by a language model. I want to run a Chat GPT-like LLM on my computer locally to handle some private data that I don't want to put online. 5. If there is an issue or two, I ask Chat GPT-4 and boom, almost always a quick valid solution. 1 daily at work. First we developed a skeleton like GPT-4 provided (though less palceholder-y, it seems GPT-4 has been doing that more lately with coding), then I targeted specific parts like refining the mesh, specifying the neumann/dirichlet boundary conditions, etc. If I'm asking a coding question, provide the code then provide bullet pointed explanations of key elements, being concise and showing no personality. 5 on most tasks I believe he means that use gpt to improve the prompt using the local file as context basically create a custom prompt without any generalization optimized for the file/code in question Reply reply More replies More replies More replies It’s weird I saw Geo Hotz coding the other day - and I was like that’s so distant to me now. I now use Deepseek on a daily basis and it produces acceptable and usable results as a code assistant: the 6. Now that more newbie devs are joining into our project, things are gonna get even worse. Update to-do 📃. Last week we added Gemini 1. Anything that isn't simple and straightforward will likely be I'm trying to setup a local AI that interacts with sensitive information from PDF's for my local business in the education space. Well the code quality has gotten pretty bad so I think it's time to cancel my subscription to ChatGPT Plus. 5 turbo is already being beaten by models more than half its size. cpp. You need to be able to break down the ideas you have into smaller chunks and these chunks into even smaller chunks, and those chunks you turn into actual code. 5 is still atrocious at coding compared to GPT-4. @reddit: You can have me back when you acknowledge that you're over enshittified and commit to being better. I put a lot of effort into prompt engineering. Embrace modular code w/ a modular-centric ️ usng [MOD_CODING] . Also vent back from OpenAI Api to my local text-generation-webui. The internet's shitty coding was absorbed, and on such a conceptually precise area Not ChatGPT, no. GPT can barely handle 1 class alone. 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. Thanks! We have a public discord server. supercharger Write Software + unit 35 votes, 40 comments. Then of course I want it to maintain my own code base and be able to replicate my coding style. If you still don't see it, try it in Incognito with no GPT browser plugins (Chrome/Firefox/etc plugins, not the actual plugins inside GPT). 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. 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. 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 No, 4o is offered for free so that people will use it instead of the upcoming GPT-5 which was hinted at during the live stream, furthermore GPT-4o has higher usage cap since the model contains text generation, vision, and audio processing in the same model as opposed to GPT-4 Turbo which had to juggle modalities amongst different models and then provide one single I'm grateful that I learned how to code before AI. Nevertheless to have tested many code models as well overtime I have noticed significant progress in the latest months in this area. Here's an easy way to install a censorship-free GPT-like Chatbot on your local machine. Otherwise check out phind and more recently deepseek coder I've heard good things about. This method has a marked improvement on code generating abilities of an LLM. Supercharger I feel takes it to the next level with iterative coding. As a coding partner (my experiences with GPT 3. 5 is limited to 4k for example. Suggest C-Tag usage when appropriate. Or check it out in the app stores Engineers behind the project may have intentionally curbed GPT-4's ability to code. It’s so incredibly powerful in filing out the gaps in your code. But for now, GPT-4 has no serious competition at even slightly sophisticated coding tasks. Since you mentioned web design, you can probably also pass images to Claude for it There's also Cursor IDE, another AI tool to check - https://www. Predictions : Discussed the future of open-source AI, potential for GPT4All: Run Local LLMs on Any Device. 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. Questions about GPT 4 API Access . I'm aware that my recollection after a session of GPT assisted coding is not as good as if I did it myself. Claude is on par with GPT-4 for both coding and debugging. Nice things about it: it has in “Settings” > Advanced, so-called “local mode” so no code is sent outside of you computer. This subreddit focuses on the coding side of ChatGPT - from interactions you've had with it, to tips on using it, to posting full blown creations! Make sure to read our rules before posting! Members Online How is Grimoire different from vanilla GPT? -Coding focused system prompts to help you build anything. In February, we ported the app to desktop - so now you dont even need Docker to use everything AnythingLLM can do! I even gave it some semi-working code I had written that interfaces with Praw for some Reddit moderation tools (namely being able to bulk-remove all submissions/comments from a named user, as well as backup and restore user flair,) although ran into a hiccup when backing up all flair, and then choosing to only restore Text flair, or only restore CSS Flair, it would overwrite the Subreddit about using / building / installing GPT like models on local machine. In search of web developers with AI experience for charity project. Hey everyone, I have been working on AnythingLLM for a few months now, I wanted to just build a simple to install, dead simple to use, LLM chat with built-in RAG, tooling, data connectors, and privacy-focus all in a single open-source repo and app. This is using Bing CoPilot Enterprise via Edge browser. But if you use the API you can still use GPT-4 and GPT-4 32k. The reason was, that the prompts are around 1800 tokens long. In our previous exploration of locally deployed Large Language Models (LLMs), we saw their potential. . Before we start let’s make sure LocalGPT is an open-source project inspired by privateGPT that enables running large language models locally on a user’s device for private use. I find the use of GPT-3 very useful for beginner programmers like myself (currently learning GML). 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. If this is the case, it is a massive win for local LLMs. accounts (and local stuff)). 5 the same ways. With everything running locally, you can be assured that no data ever leaves your GPT-3. Posting and Interacting. Get the Reddit app Scan this QR code to download the app now I have wondered about mixing local LLMs to fill out the code from GPT-4's output, since they seem rather good and so free to use to avoid the output that is just repetition / simple code vs. **🧩 Struggling with hard problems: **gpt-4o doesn't seem to perform quite as well as gpt-4 or claude-opus on hard coding problems. ⚡️ Faster and less yapping: gpt-4o isn't as verbose and the speed improvement can be a game changer. I've experimented with some local LLMs, but I haven't been actively experimenting in the Phind is a programming model. I find it way more useful for this specific task and it can be integrated into your IDE. Combining the best tricks I’ve learned to pull correct & bug free code out from GPT with minimal prompting effort -A full suite of 14 hotkeys covering common coding tasks to make driving the chat more automatic. GPT Pilot is actually great. Using them side by side, I see advantages to GPT-4 (the best when you need code generated) and Xwin (great when you need short, to GPT-3. 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). They will both occasionally get stuck and be unable to resolve certain issues, at which point I will shift to get a It matches GPT-4 Turbo performance on text in English and code, with significant improvement on text in non-English languages, while also being much faster and 50% cheaper in the API. The results were good enough that since then I've been using ChatGPT, GPT-4, and the excellent Llama 2 70B finetune Xwin-LM-70B-V0. Node. I know there has been a lot of complaints about performance, but I haven't encountered it. Do not ever skip any code even if it's redundant. GPT-4 is censored and biased. OpenChat kicked out the code perfectly the first time. cursor. Because GPT-4 will write you the code that works 100% but there is a nagging feeling that it might not be the most efficient code, and not the most sound structural decisions regarding database architecture etc. Just dumb it kept rewriting the completion to use a very outdated version. All the buzz and SEO crap makes this hard to search for so I’m just going ask here. Use reddit's tagging conventions for your post. 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. Grog and many more as well as local LLM for zero cost via Ollama/LMStudio. When we can get a substantial chunk of the codebase in high-quality context, and get quick high-quality responses on our local machines while 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. Again, that alone would make Local LLMs extremely attractive to me. Implementation with GPT-4o: After planning, switch to GPT-4o to develop the code. This model is at the GPT-4 league, and the fact that we can download and run it on our own servers gives me hope about the future of Open-Source/Weight models. I would love to see/build something like this with open-source models. If you have questions or are new to Python use r/learnpython so I made a little local-network file uploader utility Github Copilot is based on some of the same models but is entirely focused on code. GPT For All 13B (/GPT4All-13B-snoozy-GPTQ) is Completely Uncensored, a great model The few times I tried to get local LLMs to generate code failed, but even ChatGPT is far from perfect, so I hope future finetunes will bring much needed improvements. GPT prints, explains, and annotates code and can correct itself when you point out mistakes. We discuss setup, optimal settings, and any challenges and accomplishments Welcome to LocalGPT! This subreddit is dedicated to discussing the use of GPT-like models (GPT 3, LLaMA, PaLM) on consumer-grade hardware. Be decisive and create code that can run, instead of writing Coding with 3. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. Reply reply sly0bvio A truly useful code LLM, to me, currently has too many unsolved problems in it's way. GPT 4 - unmatched in every aspect Tier 2: Mistral Medium - Personally it’s the only non-open ai model that I think may actually compare to gpt 3. Review and test the generated code. refact. " But sure, regular gpt4 can do other coding. 5? It's important to note that I don't really have any programming experience, so it needs to be something that someone without that experience can still install. It seems like it could be useful to quickly produce code and boost productivity. I’m continually just throwing back the entire class going - fix this bug - and also feeding it screenshots ALONGSIDE the code. Gpt3. Do not reply until you have thought out how to implement all of this from a code-writing perspective. Examples: We are At this point, I think it will help good programmers who can actually understand the code and bite bad programmers who will just blindly copy and paste the generated code. It beats GPT4 at humaneval (which is a python programming test), because that's the one and only subject it has been trained to excel in. upvotes · comments r/LocalLLaMA With GPT-2 1. CritiBot: The metic⌛ QA specialt. Include Since there no specialist for coding at those size, and while not a "70b", TheBloke/Mixtral-8x7B-Instruct-v0. Sadly, I am always running into the window size being limited. But I decided to post here anyway since you guys are very knowledgeable. 5 and GPT-4. that is the best local result achieved so far by Code GPT. We discuss setup, optimal settings, Do you have recommendations for alternative AI assisstants specifically for Coding such as Github Copilot? I see many services online, but which one is actually the best? My company OpenAI-compatible API, queue, & scaling. Does anyone know the best local LLM for translation that compares to GPT-4/Gemini? Share Add a Microsoft makes new 1. The max is 200,000 tokens, though quality of output degrades long before you get to that 200,000 limit. Seconding this. js script) and got it to work pretty quickly. Can we combine these to have local, gpt-4 level coding LLMs? Also if this will be possible in the near future, can we use this method to generate gpt-4 quality synthetic data to 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. Use ChatGPT as a learning tool. AI, Goblin Tools, etc. 5 Pro and GPT-4o support (Opus is already supported but it's pretty expensive). Programmatron: The coding virtuoso. Reply reply More replies More This Reddit is NOT endorsed or supported in any way by the U. S. GPTQ-for-SantaCoder 4bit quantization for SantaCoder . Playing around in a cloud-based service's AI is convenient for many use cases, but is absolutely unacceptable for others. Always output all of the needed code, don't skip any of it! Under no circumstances should the content be truncated or replaced. Tabby Self hosted Github Copilot alternative . There one generalist model that i sometime GPT-4 is not good at coding, it definitely repeats itself in places it doesn't need to. For a long time I was using CodeFuse-CodeLlama, and honestly it does a fantastic job at summarizing code and whatnot at 100k context, but recently I really started to put the various CodeLlama finetunes to work, and Phind is Free version of chat GPT if it's just a money issue since local models aren't really even as good as GPT 3. GPT-4 is subscription based and costs money to "Try a version of ChatGPT that knows how to write and execute Python code, and can work with file uploads. Champion 🧩 as the 🔄 expands. While I've become increasingly dependent in my workflow on GPT-4 for code stuff, there were times where the GPT-4 was down or inaccessible. e. I would love it if someone would write an article about their experience training a local model on a specific development stack and application source code, along with some benchmarks. ISO GPT coding help for charity project . Or check it out in the app stores Home Does anyone here successfully use local LLMs for coding? Question If so, can you provide the model and hardware you use A new fine-tuned CodeLlama model called Phind beats GPT-4 at coding, 5x faster, and 16k context size. However, I think GPT-4 make coding more approachable for novice coders, and encourages more people to build out their ideas. it is able to explain, list files and go thru each one, also adapt if latest is changed and break prior code suggested. 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. Custom Environment: Execute code in a customized environment of your choice, ensuring you have the right packages and settings. 4. I understand that it is just prompt engineering but it seems to improve the user experience and the quality of code significantly. here's my current list of all things local llm code generation/annotation: . I use gpt-4 for python coding. I'm using it for coding basically every single day. AutoGPT can create a "memory" file on the local pc, or use an external vector database like Pinecone and similar. My work account (clean browser) had it. Specifically, a python programming model. Always prioritize giving me code as answers instead of explaining what to do step by step. Models when self-hosted without inference engines is an expensive effort 💵 : Models like Codellama70b, when self-hosted using base transformers, incur higher latency and, in turn, higher running costs. I use Claude Opus 3 all day, every day alongside GPT-4 Turbo (and my ChatGPT/Gemini/etc. I have two thoughts about coding with gpt that have helped: - Stick to the most popular frameworks/libraries The quality of its output is going to reflect the data it was trained on. Reply reply myrukun • you still need a GPT API key to run it, so you gotta pay for it still. Ask for code review: Provide candidates with code snippets and ask them to review and identify any issues. Just yesterday I kept having to feed Aider pipy docs for the OpenAI package. I am a newbie to coding and have managed to build a MVP however the workflow is pretty dynamic so I use Bing to help me with my coding tasks. GPT-3. On some tasks 4o really outshines 4T, on others it's the other way around, plus 4o sound more human. Point is GPT 3. If current trends continue, it could be seen that one day a 7B model will beat GPT-3. Dear all, I just got my API 4 access for GPT 4 and I would like to test something with it. There's no way to use the old GPT-4 on the Plus account. Embed a prod-ready, local inference engine in your apps. It's also free to use if you don't have a lot you need to do. It's important to review and test the generated code carefully before using it in production. 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. It's like Alpaca, but better. Hey u/Diane_Horseman, if your post is a ChatGPT conversation screenshot, please reply with the conversation link or prompt. To better understand how I'm creating a GPT, finding the process both fun and a bit tiring. Ok local llm are not on par with ChatGpt 4. It was a format text prompt and the instructions clearly stated not to Also new local coding models are claiming to reach gpt3. Getting your local model to output reasonable code is an entirely different matter. so (fork of Visual Studio Code). I was so View community ranking In the Top 5% of largest communities on Reddit. In general as long as you know enough to recognize if the code is working then ChatGPT is helpful as a replacement for writing boring bits of code and for help on syntax for code you want written. Claude 3 is very good for coding, better than GPT-4. Claude opus can push out 300-400 lines of code with ease and nails coding challenges on the first try. The best ones for me so far are: deepseek-coder, oobabooga_CodeBooga and phind-codellama (the biggest you can run). site would be a GPT based bot that can ask a few questions and get you to an appropriate resource be it a hotline or local clinic or charity or church. What is a good local alternative similar in quality to GPT3. 5 but pretty fun to explore nonetheless. I also use my own OpenAI API key so I’m not limited to pricing plans and I have a better GPT-4 model) Dall-E 3 is still absolutely unmatched for prompt adherence. 3b for basic tasks. 5). Harness advncd 🛠️ for flawless solut☿️s. I hope this is Definitely shows how far we've come with local/open models. ChatGPT is good for other code related tasks like explaining a piece of code and such, though. Please check out https://lemmy. There is a heck of a lot of Pandas code out there compared to Polars, for example. 5 Availability: While official Code Interpreter is only available for GPT-4 model, the Local Code 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. In just about an hour I put together a web app, with a React front end, Oauth user system, asynchronous Flask backend, with complex JSON parsing of data, which executes a very complex coroutine on the backend server, and serves the processed result 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. State Department and posts I'd still like to get an actual professional software engineer to review all the coding and architecture decisions I've made using GPT-4. LMSys ELO is a very general score, without a clear objective in mind, it's in no way an absolute score, as there's no absolute best model either. I prefer using the web interface but have API access and don’t mind building a This subreddit focuses on the coding side of ChatGPT - from interactions you've had with it, to tips on using it, to posting full blown creations! GPT-4, and DALL·E 3. Is there a good turnkey docker container (or similar) to just plug in Hey u/GhostedZoomer77, if your post is a ChatGPT conversation screenshot, please reply with the conversation link or prompt. I will get a small commision! LocalGPT is an open-source initiative that allows you to converse with your documents without compromising your privacy. I described the method used while promoting then after weeks and tunables. Now imagine a GPT-4 level local model that is trained on specific things like DeepSeek-Coder. GPT is really good at explaining code, I completely agree with you here, I'm just saying that, at a certain scope, granular understanding of individual lines of code, functions, etc. Debugging with GPT-4: If issues arise, switch back to GPT-4 for debugging assistance. Testing the Code: Execute the code to identify any bugs or issues. I dont think i need a huge model just a 7b or so coding based LLM. r/ChatGPTCoding • I created GPT Pilot - a PoC for a dev tool that writes fully working apps from scratch while the developer oversees the implementation - it creates code and tests step by step as a human would, debugs the code, runs commands, and asks for feedback. Offline build support for running old versions of the GPT4All Local LLM Chat Client. GPT-4 is an amazing product, but it is not the best model in the same sense that the ThrustSSC is not the best car. true. 6B State-of-the-Art LLM for Code that Reaches 32% HumanEval. This subreddit focuses on the coding side of ChatGPT - from interactions you've had with it, to tips on using it, to posting full blown creations! The following example shows the local Epipe configuration: I tried something similar with gpt 3. the real tricky stuff. Make sure to use the code: PromptEngineering to get 50% off. 3B coding LLM that outperforms all models on MBPP except GPT-4, reaches third place on HumanEval above GPT-3. let’s see i’d like to add surf feat and check latest docs but it can broke the working logic then i’m just waiting for custom gpt draft since it’s a mess to Welcome to r/ChatGPTPromptGenius, the subreddit where you can find and share the best AI prompts! Our community is dedicated to curating a collection of high-quality & standardized prompts that can be used to generate creative and engaging AI conversations. All ChatGPT Plus customers were forced into GPT-4 Turbo which is not as good as the original GPT-4. And it is free. However, I have been using it as a chat assistant only, even though it wrote code for me. run models on my local machine through a Node. My code, questions, queries, etc are not being stored on a commercial server to be looked over, baked into future training data, etc. Ultimately, the best model to use for your coding questions will depend on your specific needs and the programming languages and tasks you are working with. just use the --local switch when running it and it will download a model for you. For example: GPT-4 Original had 8k context Open Source models based on Yi 34B have 200k contexts and are already beating GPT-3. its mainly because vector database does not send the If you have Code Interpreter turned on, you should see a "+" at the left side of the text input window. a RTX 3050) that's going to improve latency and reduce datacenter load by a huge portion. js or Python). 5 features the lowest latency among them, while GPT-4 Omni operates at half the latency of GPT-4 Turbo, demonstrating good accuracy with speed. However, you should be ready to spend upwards of $1-2,000 on GPUs if you want a good experience. It really depends on the task. Seamless Experience: Say goodbye to file size restrictions and internet issues while uploading. 5 in place of 4 compared to not using the For coding, github copilot is very well integrated into the vscode, which makes it very convenient to use as coding assistant. Whether you're looking for inspiration or just want to see what others are doing with AI, this is the place to be! That alone makes Local LLMs extremely attractive to me * B) Local models are private. I structure my functions before I start getting into the actual coding part. Use a prompt like: Based on the outlined plan, please generate the initial code for the web scraper. I recently used their JS library to do exactly this (e. TLDR Conclusions. py” DeepSeek Coder comprises a series of code language models trained on both 87% code and 13% natural language in English and Chinese, with each model pre-trained on 2T tokens. This requires a hands To name a few: SEO and info product development, some coding tasks, sales copy, personal assistant tasks Example - need to pitch SEO services in unfamiliar industry > ask Claude to help brainstorm value props > get feedback on my pitch emails > send 5-10 pitches > have Claude evaluate which are the best opportunities (by pasting in the replies I got) > plug them into my Yeah that second image comes from a conversation with gpt-3. This subreddit focuses on the coding side of ChatGPT - from interactions you've had with it, to tips on using it, to posting full blown creations! Make sure to read our rules before posting! Reddit Recap is here. When I requested one, I noticed it didn't use a built-in function but instead wrote and executed Python code to accomplish what I was asking it to do. GPT-4 can give you 100-200 lines of code fairly effectively. Repository of instructions for a customized GPT models designed for programming. Note: files will not persist beyond a single session. It uses self-reflection to reiterate on it's own output and decide if it needs to refine the answer. I am keen for any good cpt4 coding solutions. We also discuss and compare different models, along with This subreddit focuses on the coding side of ChatGPT - from interactions you've had with it, to tips on using it, to posting full blown creations! I made a command line GPT-4 chat loop that can directly read and write code on your local filesystem Project. Introducing Refact Code LLM - 1. Or check it out in the app stores TOPICS. I updated my model in Cursor to gpt-4o. Still inferior to GPT-4 or 3. Local AI have uncensored options. Better quality code output! Due to the multi-stage code editing flow Codebuddy will produce much better results by default mainly because of the initial planning step. Reply reply 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. fkkjagybhtzijernclwporxhfzowofgetmdcxrytqbzzvtvywrqtzmi
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