Lm studio vs gpt4all reddit
Lm studio vs gpt4all reddit. You can try both and see if the HF performance is acceptable. Apr 4, 2024 · GPT4All is a user-friendly and privacy-aware LLM (Large Language Model) Interface designed for local use. This free-to-use interface operates without the need for a GPU or an internet connection, making it highly accessible. GPT-4All, developed by Nomic AI, is a large language model (LLM) chatbot fine-tuned from the LLaMA 7B model, a leaked large language model from Meta (formerly Facebook). GPT4ALL is an open-source software ecosystem developed by Nomic AI with a goal to make training and deploying large language models accessible to anyone. For me, I am seeing significantly faster with LM Studio. q4_2 (in GPT4All) : 9. Even when i try super small models like tinyllama it still uses only CPU. Also remember that we're talking about humanity as a spectrum of ability, intelligence, and gullibility. com) , GPT4All , The Local AI Playground , josStorer/RWKV-Runner: A RWKV management and startup tool, full automation, only 8MB. The fastest GPU backend is vLLM, the fastest CPU backend is llama. We release💰800k data samples💰 for anyone to build upon and a model you can run on your laptop! Az LM Studio és a GPT4All két innovatív szoftver, amelyek jelentősen hozzájárulnak a nagy nyelvi modellek területéhez. The response is really close to what you get in gpt4all. There is speculation that the gpt2-chatbot model on lmsys is GPT4. I'm only now wrapping my head around this - I know there's no option in the LM Studio UI, but is there any way to ingest documents once the LM studio…. It really really good. The above (blue image of text) says: "The name "LocaLLLama" is a play on words that combines the Spanish word "loco," which means crazy or. GPT4All, LLaMA 7B LoRA finetuned on ~400k GPT-3. cpp/kobold. Click it. dev, LM Studio - Discover, download, and run local LLMs , ParisNeo/lollms-webui: Lord of Large Language Models Web User Interface (github. 57 tok/s for me. I'm doing some embedded programming on all kinds of hardware - like STM32 Nucleo boards and Intel based FPGAs, and every board I own comes with a huge technical PDF that specificies where every peripheral is located on the board and how it should be Puffin reaches within 0. Jun 27, 2023 · Brief History. Ezek a szoftverek új Jun 28, 2023 · GPT-4All and Ooga Booga are two prominent tools in the world of artificial intelligence and natural language processing. As of June 2023, the model is still training, with 3B, 7B, and 13B parameter models available. Feb 7, 2024 · LM Studio. GPT4All is an open-source ecosystem for chatbots with a LLaMA and GPT-J backbone, while Stanford’s Vicuna is known for achieving more than 90% quality of OpenAI ChatGPT and Google Bard. I'm working on a product that includes romance stories. I've noticed this a few times now wiht a few different models. Filter by these if you want a narrower list of alternatives Model wise, best I've used to date is easily ehartford's WizardLM-Uncensored-Falcon-40b (quantised GGML versions if you suss out LM Studio here ). It would like a plumber complaining about having to lug around a bag full of wrenches. Switched to LM Studio for the ease and convenience. 2b. Once web search works for injecting data based on the needs of the assistant, other commands can follow the same model. Then with the llama. Even weirder that it took first place here and only 70B models did better. It is the only project on this list that’s not open sourced, but it is free to download. manaul entries into some files ? It would make sense to show in a field, which card is used or the posibility like in LM-Studio to adjust, how much Ram of the card is used. I've also run models with GPT4All, LangChain, and llama-cpp-python (which end up using llama. The goal is simple - be the best instruction tuned assistant-style language model that any person or enterprise can freely use, distribute and build on. ) Scenario: (Scenario here. - An openAI compatible API. - Performs better and decodes faster than GPT-Neo. Hi all, long time lurker. It may be more efficient to process in larger chunks. While both tools aim to facilitate local LLM Chat with RTX is however by far the easiest way to set it up. This low end Macbook Pro can easily get over 12t/s. PrivateGPT to ingest documents. 5. - A UI to chat with the models easily. Just wanted to say that if you have an M series Mac it has neural chips and can run MANY models, I am using it with LM studio and has pretty good integration with Obsidian through a plugin called Copilot. - ChatDocs Supposed to be a fork of privateGPT but it has very low stars on Github compared to privateGPT, so I'm not sure how viable this is or how active. Feb 21, 2024 · When the download reaches 100%, click the Chat Icon: Select the model from the drop down at the top center of the application: On the left hand side you'll see a "+ New Chat" button. Speaking from personal experience, the current prompt eval speed on Jun 26, 2023 · Training Data and Models. Support for commands--one discrete thing that an LLM can do in a chat to interact with the web, the computer, etc. gguf ), for some unknown reason it is very slow even for a simple query. 1-GGUF with a custom system prompt, you should try that. GPT-J is a model released by EleutherAI shortly after its release of GPTNeo, with the aim of delveoping an open source model with capabilities similar to OpenAI's GPT-3 model. By using AI to "evolve" instructions, WizardLM outperforms similar LLaMA-based LLMs trained on simpler instruction data. I'm excited to announce the release of GPT4All, a 7B param language model finetuned from a curated set of 400k GPT-Turbo-3. Jan 17, 2024 · Which additional drivers are necessary for GPT4all - or evtl. cpp) : 9. Nov 29, 2023 · GPT4All Datasets: An initiative by Nomic AI, it offers a platform named Atlas to aid in the easy management and curation of training datasets. If you are a Windows developer, then you have VS. Yea been using Lm Studio and its perfect, 42 tokens/sec even on 7B models and my 4060 8gb card. Having a 20B that's faster than the 70Bs and better than the 13Bs would be very welcome. Many people conveniently ignore the prompt evalution speed of Mac. The app leverages your GPU when possible. 5-Turbo prompt/generation pairs. I also read Eric's suggestion about exllamav2, but I'm hoping for something user-friendly while still offering good performance and flexibility, similar to how ComfyUI feels compared to A1111. Please note that currently GPT4all is not using GPU, so this is based on CPU performance. GPT4All and Vicuna are two widely-discussed LLMs, built using advanced tools and technologies. I think the reason for this crazy performance is the high memory bandwidth LM Studio. 3. (P. time for a RP llm sub-sub. Here are the tools I tried: Ollama. However, API access is not free, and usage costs depend on the level of usage and type of application. and click 'Override Preset' to save your changes. cpp under the covers). I just did some testing with Q6 8B since I can't fully load 70B on two 3090's, so I wanted to test with a fully GPU loaded model. One of the things I've been doing lately is having the model role play as a female pokemon. 🤗 Transformers. S. Realtime markup of code similar to the ChatGPT interface. I have been trying to run the model WizardLM-33B-V1. I'm also aware of GPT4ALL, which is quite straightforward but hasn't fully met my needs. Installation. - GPT-J performs much closer to GPT-3 of similar size than GPT-Neo. Speed seems to be around 10 tokens per second which seems GPT4All is similar to LM Studio, but includes the ability to load a document library and generate text against it. It basically runs nothing but 7b models quantized. However, ensure your CPU is AVX or AVX2 instruction supported. I was using oogabooga to play with all the plugins and stuff but it was a amount of maintenance and it's API had an issue with context window size when I try to use it with MemGPT or AutoGen. Basically, whenever you find yourself having to copy paste code to create variants of it, you can ask a small model, to either wrap that in a function, or, you can ask it to duplicate that code for each pattern. The LM Studio cross platform desktop app allows you to download and run any ggml-compatible model from Hugging Face, and provides a simple yet powerful model configuration and inferencing UI. And it has several plugins such as for RAG (using ChromaDB) and others. cpp, koboldcpp, vLLM and text-generation-inference are backends. GPT4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer grade CPUs. q4_0 (using llama. Llama 2 is Meta AI's open source LLM available for both research and commercial use cases (assuming you're not one of the top consumer companies in the world). Nomic AI supports and maintains this software ecosystem to enforce quality and security alongside spearheading the effort to allow any person or enterprise to easily deploy their own on-edge large language models. The GPT4ALL project enables users to run powerful language models on everyday hardware. I am using `llama-cpp-python` tool to run the model as server, and I have off loaded 30 layers to the GPU. I have been following the development of open-source LLMs, and it seems like a new LLM is released every other week. I don’t know if it is a problem on my end, but with Vicuna this never happens. cpp into a single file that can run on most computers any additional dependencies. 81818181818182. llm install llm-gpt4all. LM Studio is an interesting mixture of: - A local model runtime. tweet: https://bit. Whenever the LLM finishes a response and cuts it off, if i hit continue, it just repeats itself again. Then look at a local tool that plugs into those, such as AnythingLLM, dify, jan. A 65b model quantized at 4bit will take more or less half RAM in GB as the number parameters. cpp server used this cmd line: on the GPT4All, I just download and started to use. For more details on the tasks and scores for the tasks, you can see the repo. cpp or Exllama. I've just encountered a YT video that talked about GPT4ALL and it got me really curious, as I've always liked Chat-GPT - until it got bad. when TensorRT-LLM came out, Nvidia only advertised it for their server GPUs. q4_0. So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding. - Taskweaver not all parameters are actually there for a reason, they are just left over there as is as i have been trying different things lately. Using wizardlm lama2 13b q8 or mythalion 13b q6 or any of hte other "prose" type LLMs, they always seem to repeat on continue instead of actually llama. For some models or approaches, sometimes that is the case. ai, or a few others. Sep 18, 2023 · The main features of GPT4All are: Local & Free: Can be run on local devices without any need for an internet connection. It's a highly highly useful tool. ) <START> [DIALOGUE…. I'm running ooba Text Gen Ui as backend for Nous-Hermes-13b 4bit GPTQ version, with new May 24, 2023 · RWKV is an RNN with transformer-level LLM performance. It was just easy and very clear. cpp, Exllama, Transformers and OpenAI APIs. ggmlv3. The tool is what ingests the RAG and embeds it. Can The audio aspect of AI and especially LLM based audio models have quite a bit more to go until it gets to be SDXL or Midjourney level quality comparably. Edit the default system prompt for that specific model (mistral, llama, etc). LM Studio is often praised by YouTubers and bloggers for its straightforward setup and user-friendly Nov 22, 2023 · I really like LM Studio and had it open when I came across this post. It is free and I think it is open source too. 0, and others are also part of the open-source ChatGPT ecosystem. AI is writing things that, to my eye, often look completely human. 0-uncensored. I have been trying out a variety of models using LM Studio, oobabooga,and GPT4all to get a full picture of how the models react to various things. GPT4All Open Source Datalake : A transparent space Currently my favourite 7B model is Weyaxi/OpenHermes-2. cpp you can also consider the following projects: ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models. I haven't looked at the APIs to see if they're compatible but was hoping someone here may have taken a peek. Ben and I have released GPT-J, 6B JAX-based Transformer LM! - Performs on par with 6. 2b, Nous-Hermes-Llama2-70B 13B: Mythalion-13B But MXLewd-L2-20B is fascinating me a lot despite the technical issues I'm having with it. Let's hear it for everyone making LLMs work without a lot to work with! I got a "top of the line" 14 inch laptop with 6gb vram. wizardLM-7B. Hey u/me-me_me-me_me-me, if your post is a ChatGPT conversation screenshot, please reply with the conversation link or prompt. 2) 70B: Xwin-LM-70B-V0. I'd also look into loading up Open Interpreter (which can run local models with llama-cpp-python) and loading up an appropriate code model (CodeLlama 7B or look A M1 Macbook Pro with 8GB RAM from 2020 is 2 to 3 times faster than my Alienware 12700H (14 cores) with 32 GB DDR5 ram. Langchain. - A model catalog. LM Studio models repetition issue. Hardware Friendly: Specifically tailored for consumer-grade CPUs, making sure it doesn't demand GPUs. - repo + colab + free web demo. Similar to GPT4All, LM Studio has a nice GUI for interacting with LLMs. faraday. It's merely good at creative writing, but excellent at everything else. These days I would recommend LM Studio or Ollama as the easiest local model front-ends vs GPT4All. And my query is as below: Feb 3, 2024 · if you want gguf models up to 13GB running on GPU use lm-studio-ai. cpp GPU acceleration. 1% of Hermes-2 average GPT4All benchmark score(a single turn benchmark). A GPT4All model is a 3GB - 8GB file that you can download and plug into the GPT4All software. Airoboros is a very solid model, but once it goes into repetitive prose and cringe synthetic responses - there's no escape from it. You can run 65B models on consumer hardware already. - Trained on 400B tokens with TPU v3-256 for five weeks. Consider using a local LLM using Ollama (Windows came out today), LM Studio, or LocalAI. Which LLM model in GPT4All would you recommend for academic use like research, document reading and referencing. Install this plugin in the same environment as LLM. Plus you can make some modifications to them on the spot. This chatbot is trained on a massive dataset of text Overview. GPT falls very short when my characters need to get intimate. Here is how the UI looks like: LM Studio also shows the token generation speed at the bottom – it says 3. Audio is just a messy medium to work with. We ask that you please take a minute to read through the rules and check out the resources provided before creating a post, especially if you are new here. I'm currently using LM Studio, and I want to run Mixtral Dolphin locally. GPT4ALL-J, on the other hand, is a finetuned version of the GPT-J model. It's the number of tokens in the prompt that are fed into the model at a time. API Access: While you can't download and run GPT-4 on your local machine, OpenAI provides access to GPT-4 through their API. 5 assistant-style generation. New Model Comparison/Test (Part 1 of 2: 15 models tested, 13B+34B Feb 6, 2024 · とある諸事情から、LLMをインストールしてローカルで使えるようにってことをやっている。 最初はGPT4ALL 元々はGPT4ALLを触ってた。GPT4ALLも良かったんだが、日本語環境が欲しいな、と思ったので、別の環境を探してた。ちなみに、GPT4ALLを触るならこのページを参考にするのが一番いいんじゃない Jun 28, 2023 · Tools and Technologies. WizardLM is a LLM based on LLaMA trained using a new method, called Evol-Instruct, on complex instruction data. bin file. gguf I have been using it for 2 weeks and had very minor issues so far. In my case, ooba was much much faster and didn't slow down as much as lmstudio with bigger context. With a larger size than GPTNeo, GPT-J also performs better on various benchmarks. ly/3isa84D. For example, if your prompt is 8 tokens long at the batch size is 4, then it'll send two chunks of 4. Model expert router and function calling. cpp. PrivateGPT (very good for interrogating single documents): GPT4ALL: LocalGPT: LMSTudio: Another option would be using the Copilot tab inside the Edge browser. llama. This allows developers to interact with the model and use it for various applications without needing to run it locally. Llama2-7b did a quite good job of creating color variants in CSS, using CSS variables and a hsl () function. I found out about interference/loaders, but it seems LM Studio only supports gguf. A GPT4All model is a 3GB - 8GB file that you can download and Jun 9, 2021 · Overview. Personally I think the positioning is very interesting. you are correct. Detailed performance numbers and Q&A for llama. It allows you to run LLMs, generate images, audio (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families and architectures. Recently, I stumbled upon LM Studio. The creators of silly tavern or whoever writes the documentation forgot to inform users of the fact that in the most recent update of silly tavern, there is no slider for bypassing authentication when using openai type apis like lmstudio, because what you now have to do is enter "not-needed" for the api key. 1 was released with significantly improved performance, and as of 15 April Mythologic also seems to be a very good model, at least at the early stages of conversations. LM Studio is an easy to use desktop app for experimenting with local and open-source Large Language Models (LLMs). JohnLionHearted. Here's a list of my previous model tests and comparisons: LLM Chat/RP Comparison/Test (Euryale, FashionGPT, MXLewd, Synthia, Xwin) Winner: Xwin-LM-70B-V0. It can be directly trained like a GPT (parallelizable). Streaming from Llama. Other great apps like LM Studio are Khoj, Private GPT, local. Weird that the Xwin-MLewd-13B-V0. BUT it seems to come already working with GPU and GPTQ models,AND you can change embedding settings (via a file, not GUI sadly). Now i have rtx 3060 and haven't used lm studio on it yet. It beats out PuddleJumper-13B-v2 and Minotaur-13B as a physics research assistant, and its inference about common knowledge tasks and analysis are off For a developer, that's not even a road bump let alone a moat. Regarding HF vs GGML, if you have the resources for running HF models then it is better to use HF, as GGML models are quantized versions with some loss in quality. The output will include something like this: gpt4all: all-MiniLM-L6-v2-f16 - SBert, 43. Those are the tools of the trade. Welcome to /r/SkyrimMods! We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. It's definitely not scientific but the rankings should tell a ballpark story. With GPT4All, you have a versatile assistant at your disposal. That let me set the localhost and port address, and I kept the /v1 path it defaulted to, and somewhere there was a setting to auto-detect which llm was being used, so I told it to do that. GPT4All seems to do a great job at running models like Nous-Hermes-13b and I'd love to try SillyTavern's prompt controls aimed at that local model. I have tried out H2ogpt, LM Studio and GPT4ALL, with limtied success for both the chat feature, and chatting with/summarizing my own documents. But one thing that i preferred lm studio over ooba, was running the server. All you need to do is: 1) Download a llamafile from HuggingFace 2) Make the file executable 3) Run the file. Hello, Quick intro. Some insist 13b parameters can be enough with great fine tuning like Vicuna, but many other say that under 30b they are utterly bad. After installing the plugin you can see a new list of available models like this: llm models list. For this task, GPT does a pretty task, overall. They typically use around 8 GB of RAM. Q5_K_M. That's the IDE of choice on Windows. Will route questions related to coding to CodeLlama if online, WizardMath for math questions, etc. Here's a list of models I have seen so far (and links to their implementation & weights). Web search could be the first command to hammer out building out the framework. What are you working with? Do not confuse backends and frontends: LocalAI, text-generation-webui, LLM Studio, GPT4ALL are frontends, while llama. Not sure about its performance, but it seems promising. With EXL2 I was getting 67-68 t/s and with GGUF in LM Studio I'm getting 89. Mindkettő lehetővé teszi a felhasználók számára, hogy helyileg dolgozzanak a nyelvi modellekkel, legyen szó akár kutatásról, fejlesztésről vagy akár személyes projektekről. Download the GGML model you want from hugging face: 13B model: TheBloke/GPT4All-13B-snoozy-GGML · Hugging Face. private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks. Users can select the most appropriate tool based on their technical expertise, required features, and specific needs; Ollama caters to those seeking simple, easy-to-use, and open-source solutions, while LM Studio appeals to those desiring additional functionalities and model choices. 5 getting benchmarked, I run some of my usual quizzes and scenarios and it aced every single one of them, can you please test it and report back? Current Features: Persistent storage of conversations. Mistral-openorca Q6 is much faster than Mistral1. Loyal Toppy Bruins Maid DARE 7b. 2 mix beat the original Xwin-LM-13B-v0. Mar 26, 2023 · Overview. cpp You need to build the llama. New Model Comparison/Test (Part 2 of 2: 7 models tested, 70B+180B) Winners: Nous-Hermes-Llama2-70B, Synthia-70B-v1. If you want to develop cuda, then you have the cuda toolkit. They are way cheaper than Apple Studio with M2 ultra. e. Copilot also supports OpenAI models so if your computer can't run LLMs locally then you could load up an API key with 10USD. I'm on a M1 Max with 32 GB of RAM. cpp handles it. 2. You need to get the GPT4All-13B-snoozy. Here is what I have for now: Average Scores: wizard-vicuna-13B. Reply. ai and Text generation web UI. 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)! View community ranking In the Top 20% of largest communities on Reddit GPT4All Local Questions I installed GPT4All via a MacOS dmg along with multiple models locally utilizing the GUI I haven’t played around enough with creating characters/backstories yet, but hopefully this gives you some idea to get started! I unterstand the format for an Pygmalion prompt is: [CHARACTER]'s Persona: (Character description here. LM Studio is a plug and play solution where you can download LLM models, use them on the fly (like normal chat), and remote into them. Question | Help I just installed gpt4all on my MacOS M2 Air, and was wondering which model I should go for given my use case is mainly academic. cpp is written in C++ and runs the models on cpu/ram only so its very small and optimized and can run decent sized models pretty fast (not as fast as on a gpu) and requires some conversion done to the models before they can be run. Edit: using the model in Koboldcpp's Chat mode and using my own prompt, as opposed as the instruct one provided in the model's card, fixed the issue for me. It was on gtx 1070ti. Initial release: 2023-04-28. Local Model for NSFW scenes. on llama. This reflects the idea that Llama is an. : Help us by reporting comments that violate these rules. Audiocraft Plus, WavJourney, AudioSep, Riffusion and Audio LM2 are all the best SoTA right now. I reviewed 12 different ways to run LLMs locally, and compared the different tools. For 7B, I'd take a look at Mistral 7B or one of its fine tunes like Synthia-7B-v1. cpp files. 2. 15. I have had good luck with 13B 4-bit quantization ggml models running directly from llama. 7B GPT-3. Two 4090s can run 65b models at a speed of 20+ tokens/s on either llama. 0-Uncensored-GGUF ( wizardlm-33b-v1. 76MB download, needs 1GB RAM (installed) Attention! [Serious] Tag Notice: Jokes, puns, and off-topic comments are not permitted in any comment, parent or child. The successor to LLaMA (henceforce "Llama 1"), Llama 2 was trained on 40% more data, has double the context length, and was tuned on a large dataset of human preferences (over Mar 12, 2024 · GPT4All UI realtime demo on M1 MacOS Device Open-Source Alternatives to LM Studio: Jan. I am using Mistral-7B-Instruct-v0. But this is an objective test and it simply gave the most correct answers, so there's that. However, I can never get my stories to turn on my readers. It will depend on how llama. If you can fit it in GPU VRAM, even better. Since you don't have GPU, I'm guessing HF will be much slower than GGML. Thanks! We have a public discord server. 1, Synthia-70B-v1. Yea thats the thing. Hermes-2 and Puffin are now the 1st and 2nd place holders for the average calculated scores with GPT4ALL Bench🔥 Hopefully that information can perhaps help inform your decision and experimentation. Easy to download and try models and easy to set up the server. H2OGPT seemed the most promising, however, whenever I tried to upload my documents in windows, they are not saved in teh db, i. Models like Vicuña, Dolly 2. For a recent school project I built a full tech stack that ran a locally hosted server for vector db RAG that hooked up to a react front end in AWS, and the only part of the system that wasn’t open source was LLM Studio. 1. - GPT4All? Still need to look into this. The best LM Studio alternative is GPT4ALL, which is both free and Open Source. Many of the tools had been shared right here on this sub. In my experience it's even better than ChatGPT Plus to interrogate and ingest single PDF documents, providing very accurate summaries and answers (depending on your prompting). oobabooga is a developer that makes text-generation-webui, which is just a front-end for running models. cpp server running, I used the Continue extension and selected the Local OpenAI API provider. Conclusion. Initial release: 2021-06-09. ggml. LocalAI act as a drop-in replacement REST API that’s compatible with OpenAI API specifications for local inferencing. On the 6th of July, 2023, WizardLM V1. Also, i took a long break and came back recently to find some very capable models. GPT4All-snoozy just keeps going indefinitely, spitting repetitions and nonsense after a while. Chronos is pretty good, also. OpenLLaMA is an effort from OpenLM Research to offer a non-gated version of LLaMa that can be used both for research and commercial applications. Thats why Im surprised it works for you. This is ESPECIALLY true if we're talking about short-form responses like text messages or reddit posts. If you want a smaller model, there are those too, but this one seems to run just fine on my system under llama. Alpaca is based on the LLaMA framework, while GPT4All is built upon models like GPT-J and the 13B version. I can now run 13b at a very reasonable speed on my 3060 latpop + i5 11400h cpu. insane, with the acronym "LLM," which stands for language model. LLaMA [GitHub] Alpaca [GitHub] GPT4ALL [GitHub] RedPajama [HuggingFace] MPT-7B-Instruct [HuggingFace] StarCoder [HuggingFace] I feel like Starling-LM-7B-Alpha: OMG this model blows me away! It's merely good at creative writing, but excellent at everything else. I'm looking for a model that can help me bridge this gap and can be used Shit hardware and shoestring budgets. Definitely recommend jumping on HuggingFace and checking out trending models and even going through TheBloke's models. 5-neural-chat-v3-3-Slerp-Q8. i should've been more specific about it being the only local LLM platform that uses tensor cores right now with models fine-tuned for consumer GPUs . . Subreddit to discuss about Llama, the large language model created by Meta AI. And 2 cheap secondhand 3090s' 65b speed is 15 token/s on Exllama. The training data and versions of LLMs play a crucial role in their performance. •. When comparing gpt4all and llama. llamafiles bundle model weights and a specially-compiled version of llama. 73 t/s. And provides an interface compatible with the OpenAI API. , the number of documents do not increase. Apr 28, 2024 · LocalAI is the free, Open Source OpenAI alternative. LM Studio alternatives are mainly AI Chatbots but may also be Large Language Model (LLM) Tools or AI Writing Tools. sk fs wi fx da cu vk oj mt hb