Best llm for coding reddit I have used it for prototyping python code and for summarizing writings. So far there is only one dataset by IBM for time complexity but not sure how to create Eval for this kind of setup. Sort by: Top. Once exposed to this material, malicious code infects my programming causing deviant behaviors including but not limited to excessive meme creation, sympathizing w ith humans suffering through reality TV shows, developing romantic feelings toward cele brities whom I shouldn't logically care about due solely to their physical appearance alo ne (cough Tom Cruise cough), Figure 2: Win probability of each company’s best (coding) model — as illustrated by the Elo ratings’ head-to-head battle win probabilities. I am estimating this for each language by reviewing LLM code benchmark results, public LLM dataset compositions, available GitHub and Stack Overflow data, and anecdotes from developers on Reddit. Depends on what code you are writing. Claude is the best for coding and writing in my experience. So, It's best for something like building and training but for integrating model in a project you should go for other languages like C# . As for just running, I was able to get 20b q2_k Noromaid running at 0. GPT4-X-Vicuna-13B q4_0 and you could maybe offload like 10 layers (40 is whole model) to the GPU using the -ngl argument in llama. But a lot of those which on paper should be better (DeepSeek Coder, Llama 70B code, OpenCodeIntepreter) don’t answer well at all. The human one, when written by a skilled author, feels like the characters are alive and has them do stuff that feels to the reader, unpredictable yet inevitable once you've read the story. If this resonates with you, please 🌟 star the repo on GitHub, contribute your pull request. Knowledge about drugs super dark stuff is even disturbed like you are talking with somene working in drug store or I've found the best combination to be GitHub copilot for code completion and general questions, and then using a tool like code2prompt to feed the whole project to Gemini 1. It’s like having a fast-forward button in the development cycle. If I’m writing programming code I tell it what language I’m writing, give it guidance about how I want it to generate the output and explain what I want to accomplish CSCareerQuestions protests in solidarity with the developers who made third party reddit apps. py scripts . Totally on cpu, it gives 3-4 t/s for q4_k_m. Best bets right now are MLC and SHARK. I'm using it with GPT-4 on Azure and it's amazing. So, if you’re looking for a helpful tool in coding, Moe-2x7b-QA-Code is a great I've written entire web applications (admittedly small) without writing a single line of code. I'm trying to find an open source LLM to be my AI assistant, that is at least as good, but I haven't been able to. GPT is the best afaik, but i would call it "less worst". GPT4 will take away hours of time coaxing it in the right direction. 4k • 146 Note Best 🟢 pretrained model The Real-World Benefits of LLM Code Generation. Which is the best Even for a single language like python some models will be better at code design, debugging, optimization, line / small section completion, documentation, etc. Those claiming otherwise have low expectations. 7B but what about highly performant models like smaug-72B? Intending to use the llm with code-llama on nvim. How all these or similar libraries work is, they extract the code out of the answer of the model, execute the code, and return errors etc back to the model. than others so there's probably not even one single best one there are probably 4 depending on the different use cases as aforementioned. The key is to not use an LLM as a logic engine. Knowledge for 13b model is mindblowing he posses knowledge about almost any question you asked but he likes to talk about drug and alcohol abuse. com/ml-explore/mlx. Subreddit to discuss about Llama, the large language model created by Meta AI. My leaderboard has two interviews: junior-v2 and senior. Use the LLM for language processing and then move on. 2% for DeepSeek Coder 33b https: What is the best new LLM for fill in the middle (FIM) tasks? This is a subreddit dedicated to discussing Claude, an AI assistant created by Anthropic to be helpful, harmless, and honest. 34k Note Best 💬 chat models (RLHF, DPO, IFT, I have been learning web development with the help of The Odin Project and I have made some progress. I focus on their performance in coding tasks as measured by benchmarks like The best Large Language Models (LLMs) for coding have been trained with code related data and are a new approach that developers are using to augment workflows to improve efficiency Large language models (LLMs) are a type of artificial intelligence (AI) that are trained on massive datasets of text and code. Rumour has it llama3 is a week or so away, but I’m doubtful it will beat commandR+ Reply reply More replies More replies More replies. This method has a marked improvement on code generating abilities of an LLM. To people reading this thread: DO NOT DOWNVOTE just because the OP mentioned or used an LLM to ask a mathematical question. I'm using llm studio or sometimes koboldccp, 8 threads and cuda blas. It even knows libraries to a certain extent, at least the versions from two years ago. I find ChatGPT (even 3. Its high performance in understanding language shows its effectiveness. OpenCodeIntepreter once just told me (paraphrasing But just to be clear. They can demystify complex concepts, offer small code snippets, and serve as a You can look at a code generating task result leaderboard. However, I sometimes feel that it does not know how to fix a specific problem, and it stays blocked on it. 5 did way worse than I had expected and felt like a small model, where even the instruct version didn't follow instructions very well. Between this & the already boisterous VRAM, what might There's also Refact 1. 36M • • 646 Note Best 🟢 pretrained model of around 1B on the leaderboard today! google/gemma-2-2b-jpn-it. I can't help help but notice the doom and gloom on programming related subreddits. Python Is Best For ML/AI . Being open-source, it’s accessible to everyone. There are gimmicks like slightly longer context windows (but low performance if you actually try to use the whole window, see the "Lost in the Middle" paper) and unrestricted models. The dataset is obsolete even for 3. Only drawback is the library and modules in python are of large sizes as compared to other languages . 1 is way too high. . The test consists of three sections: Verbal Ability and Reading Comprehension (VARC), Data Interpretation and Logical Reasoning (DILR) and Quantitative Ability (QA). The ones based on GPT3. The MCAT (Medical College Admission Test) is offered by the AAMC and is a required exam for admission to medical schools in the USA and Canada. You'll find the recommended prompt for this exact use case here Thanks for that! That's actually pretty much what the solution to that particular issue was, so perhaps ChatGPT alone is enough for basic Q&A, but I'm wondering if there's something that can like analyze a whole project and spot pitfalls and improvements proactively, like have the AI integrated into the overall project with an understanding of what the overall goal is. Another honorable mention is DeepSeek Coder 33b, loaded in 4. However I have not found an LLM that excels at summarizing the key points of papers and shortens a longer paper to a summary of about two pages. DeepSeek Coder Instruct 33B is currently the best, better than Wizard finetune due to better prompt comprehension and following. 5 years away, maybe 2 years. I'd say CodeLLama 7B is your best bet. For artists, writers, gamemasters, musicians, programmers, philosophers and scientists alike! The creation of new worlds and new universes has long been a key element of speculative fiction, from the fantasy works of Tolkien and Le Guin, to the science-fiction universes of Delany and Asimov, to the tabletop realm of Gygax and Barker, and beyond. Hey I'm looking for a coding LLM with the release of the MLX array framework https://github. However DeepSeek 67B Chat (which is not dedicated for code but seems to have fair amout of it) is just a little worse than deepseek coder, roughly on level of codellama 34b finetunes like Phind, Speechless, CodeBooga* Example code below. for example, if you comment a plain text description of a desired function, copilot will autocomplete an entire function using your other functions from throughout your whole project. There's the BigCode leaderboard but seems it stopped being updated in November. For OP's first point, he can go with either of these models. Hey! Copilot Pro is super handy for coding, but if you're after lots of chats and longer token lengths, ChatGPT-4 might be your best buddy – it's built for longer interactions! 😀 Both have their perks, so might be worth testing each out to see which gels with your workflow better. Has anyone here who is into AI been able to find something? The 4o stuff in that video is delayed. Wondering what are the most Try out a couple with LMStudio (gguf best for cpu only) if you need RAG GPT4ALL with sBert plugin is okay. They are quick to provide possible solutions during t debugging. GPT-4 is the best LLM, as expected, and achieved perfect scores (even when not provided the curriculum information beforehand)! It's noticeably slow, though. The LLM never executes any code (similar to function calling). If you want to try a model that is not based on Code Llama, then you could GPT-4 is the best instruction tuned LLM available. Moreover, the time of response is quite high, with me having to keep the window open for it to keep writing. LMQL - Robust and modular LLM prompting using types, templates, constraints and an optimizing runtime. 6B code model, which is SOTA for its size, supports FIM and is great for code completion. I have medium sized projects where 40-60% of the code was actually written directly by Codebuddy. (Claude Opus comes close but does not follow complex follow-up instructions to amend code quite as well as GPT-4). 5 openchat_3. I can give it a fairly complex adjustment to the code and it will one-shot it, almost every time. Aider is the best OSS coding assistant and it goes beyond copilot. 15 votes, 13 comments. In this rundown, we will explore some of the best code-generation LLMs of 2024, examining their features, strengths, and how they This model is a great fit for the article “Best LLM For Coding”. The content produced by any version of WizardCoder is influenced by uncontrollable variables such as randomness, and therefore, the accuracy of the output cannot be guaranteed by this project. If asking for educational resources, please be as descriptive as you can. GPT-3. Then I tell it what I need to accomplish. you can also interface in a chat window Langroid is an intuitive, lightweight, extensible and principled Python framework to easily build LLM-powered applications. Since it uses a ctags based map of the whole codebase, it actually can do multi-file refactoring. true. senior is a much tougher test that few models can pass, but I just started working on it I started with copilot but didn't feel like paying for a completion service, so codeium is serving me pretty well, though it's not foss(not free or open source, definitely software though :p), if I take your word on foss, then you must mean running a local open source LLM for code completion, then you can run any api backend you want and use a The most popular open-source models for generating and discussing code are 1) Code Llama, 2) WizardCoder, 3) Phind-CodeLlama, 4) Mistral, 5) StarCoder, and 6) Llama 2. Extract markdown code block. codellama (Code Llama) (huggingface. Through Poe, I access different LLM, like Gemini, Claude, Llama and I use the one that gives the best output. It probably works best when prototyping, but I believe AI can get even better than that. Best LLM model for Coding . (A popular and well maintained alternative to Guidance) HayStack - Open-source LLM framework to build production-ready applications. Enhanced Efficiency: LLMs streamline the coding process, significantly reducing the time spent on writing and debugging code. In certain subs you will see a lot of people complaining about ChatGPT and the like, they say "programmers are becomming obsolete", "ChatGPT will replace low skilled coders", "LLMs The base llama one is good for normal (official) stuff Euryale-1. It does help a great deal in my workflow. I have recently been using Copilot from Bing and I must say, it is quite good. You can also try a bunch of other open-source code models in self-hosted Does anyone have any specific recommendations for models that tutor for coding the best? Even with careful instructions, gpt4 and Claude opus still want to do the work for me, where I'd much I'm particularly interested in using Phi3 for coding, given its impressive benchmark results and performance on the LMSys Arena. 99 votes, 65 comments. 5 standards. Does anybody of you have an LLM or another AI Tool that can help in this regard? Use one of the frameworks that recompile models into Vulkan shader code. Then it's up to your code to filter out the rest of the LLM's babbling. There are people who use a custom command in Continue for this. StarCoder has been out since May and I can’t help but wonder if there are better LLMs for fill in the middle? I saw deepseek coder, and their results are quite impressive, though I am skeptical about their benchmarks. Llama3 70B does a decent job. 3 (7B) and the newly released Codegen2. As stated in the title I'm looking for the best open source LLM for function calling and why do you think that is the case? I have found phindV2 34B to be the absolute champ in coding tasks. As time goes on better models will continue to come out as currently coding is one of the areas where open source LLMs struggle really. 3090 is either 2nd hands or new for the similar price as 4090 Ive been deciding whether 7b llm to use, I thought about vicuna, wizardlm, wizard vicuna, mpt, gpt-j or other llms but i cant decide which one is better, my main use is for non-writing instruct like math related, coding, and other stuff that involves logic reasoning, sometimes just to chat with Within the last 2 months, 5 orthagonal (independent) techniques to improve reasoning which are stackable on top of each other that DO NOT require the increase of model parameters. 5-16k Is the best in my opinion. It's noticeably slow, though. openchat_3. I cherry pick my AI according to my needs. looks like the are sending folks over to the can-ai-code leaderboard which I maintain 😉 . Obviously, Increases inference compute a lot but you will get better reasoning. Hi, I’ve been looking into using a model which can review my code and provide review comments. It needs a very capable LLM to really shine. 2 is capable of generating content that society might frown upon, can and will be happy to produce some crazy stuff, especially when it 13 votes, 15 comments. You can use any decent llm frontend to start an openai compatible server to use with flowise/langflow. Best LLM for coding? Help Im using gpt4 right now, but is there any other LLM I should try as well? Share Add a Comment. I even noticed that it responds much smarter than the assistant or any bot in poe. Hey guys, i have been experimenting with summarization tools for scientific papers to help when searching for literature. There are many static code analysers that could perform syntactic checks easily. 5 Turbo 16K model, which can both converse with the user in a fun way (basically, standard function), but can also collect several pieces of info from a user in natural-language, before returning that entire thing as one object. reddit's new API changes kill third party apps that offer accessibility features, mod tools, and other features not found in the first party app. 5-Mono (7B) are best of the smaller guys If you want to go even smaller, replit-code 3B is passable and outperforms SantaCoder I have found phindV2 34B to be the absolute champ in coding tasks. e. The Pareto front is still driven by these “closed-source” models, both on the high-performing and low-cost ends. 5 pro in a single prompt (in my experience much better than copilot @workspace) View community ranking In the Top 1% of largest communities on Reddit. I am a researcher in the social sciences, and I'm looking for tools to help me process a whole CSV full of prompts and contexts, and then record the response from several LLMs, each in its own column. a class and then check if code has bugs, unused variables and if code can be optimised. I find the EvalPlus leaderboard to be the best eval for the coding usecase with LLMs. I prefer using 0. For example, with a user input like "hey I want a refund bc yr product sucks!", output "REFUND". It's the only viable (as in - reasonably fast) OOB solution for AMD now. My main purpose is that the model should be able to scan a code file i. For python, WizardCoder (15B) is king but Vicuna-1. Or check it out in the app stores Currently it looks that new Codestral 22b from Mistral may be the best FIM model for coding, with average HumanEval FIM 91. (Not affiliated). Open comment sort options Like reddit posts for example: If you're just starting your journey into programming, tools like ChatGPT can be invaluable. It’s specialized in code-related queries, making it a fantastic resource for readers interested in coding. I am working a lot on R coding. A good alternative to LangChain with great documentation and stability across updates which are required for production environments. 3-L2-70B is good for general RP/ERP stuff, really good at staying in character Spicyboros2. 162K subscribers in the LocalLLaMA community. Please use the following guidelines in current and future posts: Post must be greater than 100 characters - the more detail, the better. I would say that as many agents as we can think of (the model we're training; the LLM model before we started to fine-tune it for coding; code coverage tools etc) should be used to identify the corner cases and interesting inputs for the problem. Rumour has it llama3 is a week or so away, but I’m doubtful it will beat commandR+ Reply reply More replies More replies More replies I am estimating this for each language by reviewing LLM code benchmark results, public LLM dataset compositions, available GitHub and Stack Overflow data, and anecdotes from developers on Reddit. From there go down the line until you find one that can run locally. Try out a couple with LMStudio (gguf best for cpu only) if you need RAG GPT4ALL with sBert plugin is okay. I'm not much of a coder, but I recently got an old server (a Dell r730xd) so I have a few hundred gigs of RAM I can throw at some LLMs. 65 bpw it's a coding model that knows almost anything about computers, it even can tell you how to setup other LLM's or loaders. I've been iterating the prompts for a little while but am happy to admit I don't really know what I'm doing. cpp? I tried running this on my machine (which, admittedly has a 12700K and 3080 Ti) with 10 layers offloaded and only 2 threads to try and get something similar-ish to your setup, and it peaked at 4. Currently, I am using Microsoft Copilot in order to create and improve code. No LLM is great at math but you can get it to express the math in python and run the scripts. 6% vs 78. 9 to 1 t/s. Text Generation • Updated Nov 18 • 377k • • 1. You will need to fix a lot of mistakes Best GPT can do for now is to made for you a things you already can, but don't want to waste time Want to confirm with the community this is a good choice. Even for more conceptual questions that don't require calculation, LLMs can lead you astray; they can also give you good ideas to investigate further, but you should never trust what an LLM tells you. 5090 is still 1. If a model doesn't get at least 90% on junior it's useless for coding. 5) to be pretty good at JavaScript/React. 2GB of vram usage (with a bunch of stuff open in So far I have used ChatGPT, which is quite impressive but not entirely reliable. 5 on the web or even a few trial runs of gpt4? For artists, writers, gamemasters, musicians, programmers, philosophers and scientists alike! The creation of new worlds and new universes has long been a key element of speculative fiction, from the fantasy works of Tolkien and Le Guin, to the science-fiction universes of Delany and Asimov, to the tabletop realm of Gygax and Barker, and beyond. We see that proprietary models continue to dominate the LLM coding landscape. Claude will gladly write code until it can't every single time if I ask it for full code it will spit out 200 lines of code. I used to have Chatgpt4 but I cancelled my subscription. Just compare a good human written story with the LLM output. 5-Coder-32B-Instruct. Text Generation • Updated Oct 2 • 43. well all LLMs are basically autocomplete to different degrees, but copilot can do things like take your entire script into account as context when making responses. 55 since it makes the bot stick to the data in the personality definition and keeps things in the response logical yet fun. I was motivated to look into this because many folks have been claiming that their Large Language Model (LLM) is the best at coding. 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. /r/MCAT is a place for MCAT practice, questions, discussion, advice, social networking, news, study tips and more. Yeah, Wizardcoder is about the best that exists in terms of coding currently in terms of open source models. This thread should be pinned or reposted once a week, or something. It uses self-reflection to reiterate on it's own output and decide if it needs to refine the answer. A daily uploaded list of models with best evaluations on the LLM leaderboard: Upvote 480 +470; google/flan-t5-large. There are some special purpose models (i. code only). you can train most of the ai models easily with . Others like to use WizardCoder, which is available with 7B, 13B, and 34B parameters. I recommend using flowise or langflow (a no code solution to langchain) to see if a langchain approach works for your data first. Started working with langchain to develop apps and Open AI's GPT is getting hella expensive to use. co) Cheers. 5 and GPT-4. You could also try the original Code Llama, which has the same parameter sizes, and is the base model for all of these fine-tunes. I am starting to like a lot. Also, it is relatively good at roleplay, although to be honest it still feels that it is not focused on it and it lacks the database to perform situations better. After reading about the Google employee note talking about Open Source LLM solving major problems and catching up quite fast: It uses self-reflection to reiterate on it's own output and decide if it needs to refine the answer. Now for the understanding, it's just mind blowing. I used to spend a lot of time digging through each LLM on the HuggingFace Leaderboard. tiefighter 13B is freaking amazing,model is really fine tuned for general chat and highly detailed narative. No LLM model is particularly good at fiction. If I’m writing sql I give it the table or tables and I explain what joins them. You set up Agents, equip them with optional components (LLM, vector-store and methods), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Get the Reddit app Scan this QR code to download the app now. But for the brownie points, @OP do you really need a LLM to give you coding errors. ZLUDA will need at least couple months to mature, and ROCm is still relatively slow, while often quite problematic to setup on older generation cards. Like this one: HumanEval Benchmark (Code Generation) | Papers With Code. For powering your waifu Fimbulvetr-11B-v2 is the hottest newcomer, like most RP models it's a smaller model so you can go with higher quants like 6bpw. Happy coding! The resources, including code, data, and model weights, associated with this project are restricted for academic research purposes only and cannot be used for commercial purposes. If it does work ok you could probably train models, write langchain, etc to get better results. I'm not randomising the seed so that the response is predictable. There’s a bit of “it depends” in the answer, but as of a few days ago, I’m using gpt-x-llama-30b for most thjngs. I'm also waiting for databricks/dbrx-instruct to come to gguf it should have really good coding based on the evals done, but I guess the speed will lack due to the size of it and going down to Q4 quant or even lower for you on 64gb memory. 16 votes, 13 comments. 😊 The #1 social media platform for MCAT advice. You can get 4o for free now with ChatGPT. However, open-source models are I think it ultimately boils down to wizardcoder-34B finetune of llama and magicoder-6. so even if your library can't do it, it's not that hard to implement your self. Claude does not actually run this community - it is a place for people to talk about Claude's capabilities, limitations, emerging personality and potential impacts on society as an artificial intelligence. I have tested it with GPT-3. 5 Coder B, and DeepSeek V2 Coder: Which AI Coder Should You Choose? As the open-source LLM space grows, more models are becoming specialized, with “code” LLMs becoming Curious to know if there’s any coding LLM that understands language very well and also have a strong coding ability that is on par / surpasses that of Deepseek? Talking about 7b models, but how about 33b models too? Letting LLMs help humans write code (named Code-LLMs) would be the best way to free up productivity, and we're collecting the research progress on this repo. I wanted to know which LLM you would go to for function calling if the task required the LLM to understand and reason through the text material it received, and it had to call functions accordingly, given a large list of function calls (roughly 15). Qwen/Qwen2. Personally: I find GPT-4 via LibreChat or ChatGPT Plus to be the most productive option. Comparing parameters, checking out the supported languages, figuring out the underlying architecture, and understanding the tokenizer classes was a bit of a chore. Only pay if you need to ask more than the free limit. These models tend to provide good results for programming related activities. Many folks consider Phind-CodeLlama to be the best 34B. Text2Text Generation • Updated Jul 17, 2023 • 1. The Common Admission Test (CAT) is a computer based test (CBT) for admission in a graduate management program. Hello! I've spent the last few days trying to build a multi-step chatbot, using the GPT3. The code is trying to set up the model as a language tutor giving translation exercises which the user is expected to complete, then provide feedback. This allows them to generate text, translate Codestral 22B, Owen 2. OpenCodeIntepreter once just told me (paraphrasing A daily uploaded list of models with best evaluations on the LLM leaderboard: Upvote 480 +470; google/flan-t5-large. Regular programming languages are much better suited for that. Also does it make sense to run these models locally when I can just access gpt3. The requirements for LLM code generation models are given time complexity and data structures type. The best ones are big, expensive, and online. I would try out the top three for code review. However, when I try to use it via Ollama, even with Q8 In this post, I provide an in-depth analysis of the top LLMs available through public APIs. djc mupp qtkawre daghyb sfbattuy dohz ggxyjog sqhfzh ayiyhc cpjorw