Alpaca 30b reddit ### Human: Translate this to German: "Frau Frank is pretty" ### Alpaca: Die Frau Frank ist schön Lots of people have asked if I will make 13B, 30B, quantized, and ggml flavors. Internet Culture (Viral) FileNotFoundError: [Errno 2] No such file or directory: 'models\GPT4-X-Alpaca-30B-Int4\pytorch_model-00001-of-00061. Speed Comparison:Aeala_VicUnlocked-alpaca-30b-4bit GPTQ-for-LLaMa EXLlama (1X) RTX 4090 HAGPU Disabled 6-7 tokens/s 30 tokens/s (1X) RTX 4090 HAGPU Enabled I use alpaca 30b for generating hardcore erotica. It implies that it's simply a larger version of 13B GPT4 x Alpaca when it's not. act-order. git Alpaca-Lora-30B-GGML. This was made I want to run "alpaca-30b-4bit-128g. cpp gpt-llama. Se connecter/S’inscrire; I wanted to test the various Alpaca model sizes against real world smartness so I put it up against Final Jeopardy. Perhaps not exactly like GPT-3 but I'm absolutely satisfied by the results. cpp and the results we're pretty nice. ESP32 is a series of low cost, low power system on a chip microcontrollers with integrated Wi-Fi and dual-mode Bluetooth. It was only when GPT-x-alpaca 13b came out that I started fiddling with it again, and the 30b one is even better. View community ranking In the Top 1% of largest communities on Reddit. When using text gen's streaming, it looked as fast as ChatGPT. YaAbsolyutnoNikto • GPT4-X-Alpaca-30B-4bit: success $1. Alpaca. Figure 2 - Running 30B Alpaca Model Using Alpca. ### Alpaca: I'm here to help. Posted by u/theslinkyvagabond - 3 votes and no comments Hi everyone! With the Alpaca team ( u/rtaori and u/real-lxuechen and others), we just released a new package for evaluating chat LLMs: AlpacaEval In particular, we release: a (hopefully evolving) leaderboard of chat models. I found success when using this model instead. 20k rows is actually approaching a 30B => ~16 GB; 65B => ~32 GB; 3. 6 tokens per second, which is slow but workable for non-interactive stuff (story-telling or asking a single If you have ggml-alpaca-30b-04. I downloaded 96GB then it got stuck. Already ordered 2TB gen4 SSD. bat file for Alpaca. cpp had already surprised me with how fast it has gotten lately. I can make it a very convincing chatbot, I can make it a story teller, I can make it a text adventure game, I can CUDA_VISIBLE_DEVICES=1,0 python3 server. Maybe I will be there now. The actual prompt for Alpaca, which is hidden in projects like alpaca. > Welcome to the Carcassonne reddit community! Whether you're new to the game, an experienced tile-layer, or simply visiting, all are welcome who enjoy this amazing game. Ah, I was hoping coding, or at least explanations of coding, would be decent. bin in the same folder as chat. 2 with official Alpaca format: Gave correct answers to only 12/18 multiple choice questions! Often, but not always, acknowledged data input with "OK". cpp) which uses the regular command prompt to run through. Personally I want to try feeding a Llama model my entire internet presence, all my Facebook chat logs, all my Reddit posts, all my YouTube watch history and comments, all emails from the last 5 years, all of my assignments. Post questions, creations, share brushes or settings, or any other stuff related to FireAlpaca. Quantized using --true-sequential and --act-order optimizations. 1 or its variants. google. That's because the name for 30B GPT4 x Alpaca is kind of a misnomer. /r/StableDiffusion is back open after the protest of Reddit killing open API That's because alpaca trained models are using the crappy short response alpaca dataset. Freely share any project related data science content. In that order. This is supported that research papers on software like GPTQ (using perplexity as a measure) showing that proper 4-bit quantization leads to minimal differences (ie <5% increase in perplexity) after your model I was struggling to get the alpaca model working on the following colab and vicuna was way too censored. personally, I've had a very good user experience with Alpaca 30B quantized to 4 bits, and believe it's better than 13B at 8 bits. 13b model achieved ~15 tokens/sec. Carcassonne is a tile-laying game where players collectively construct the area around the medieval French city of Carcassonne while competing to place followers on various To directly answer your question: Start with Alpaca 30b or 13b or 7b, whichever largest of these that you are capable of running. Please help guys, I would really appreciate this. GALPACA 30B (large) GALACTICA 30B fine-tuned on the Alpaca dataset. I've asked GPT4-X-Alpaca-30B-4bit a few of the multilingual questions: ### Human: Hello. 1 which is quickly becoming one of my most used models (right next to alpaca). 72 --repeat_penalty 1. cpp, is: Below is an instruction that describes a task. My CPU is an Intel Core i7-10750H @ 2. Releasing Alpaca-30B . py--auto-devices --gpu-memory 15 15--model alpaca-30b-4bit --wbits 4 --listen --cai-chat --model_type LLaMA I've tried many many permutations of this and other commands. of course more than likely it’d be nonsense, but it’d be pretty eerie if possible. I ask the alpaca 30b model for music suggestions. Or check it out in the app stores TOPICS Made a small table with the differences at 30B and 65B. I can't say for certain because maybe the 30B 4-bit is substantially better. this is the reason, I believe, openAI didn’t include image output as an option with gpt-4. the number one place on Reddit to discuss Elementor the live page builder for WordPress. They all have 4-bit ggml models available on hf. Posted by u/raika11182 - 73 votes and 48 comments J'utilise actuellement MetaIX/GPT4-X-Alpaca-30b-4bit. safetensors" which I think is the best model Alpaca-30b-lora-int4 right? I have RTX 4080 and 64GB of RAM I want to split this between Model card for Alpaca-30B This is a Llama model instruction-finetuned with LoRa for 3 epochs on the Tatsu Labs Alpaca dataset. use stable diffusion to generate the thumbnail It's nuts what you can do I tried this same prompt 5 times on llama-30b-hf w/ alpaca-lora-30b. But you can't combine the compute at the moment! This time, it's Vicuna-13b-GPTQ-4bit-128g vs. 38 gpt4all-j-v1. And then a different 30b gpt4-x-alpaca-30b-4bit. The (un)official home of #teampixel and the #madebygoogle lineup on Reddit. That said, I am not that experienced with stigmatization so this could be bad advice, I just know that I have tried a lot of models and this one pisses me off the least. Welcome to the Unofficial iRacing Reddit Community. Llama is an open-source (ish) large language model from Here I'm demoing riffusion. My comparative results asking Turing-style questions to Alpaca 7B, 13B, and 30B. Or - "Holy Emergent Properties, Batman!" Technical The best place on Reddit for LSAT advice. Get the Reddit app Scan this QR code to download the app now. exe try . 31 tokens/s, 255 tokens, context 1732, seed 928579911) /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers Honestly, the Alpaca 30B model (based on Meta's LLaMA) seems to be pretty advanced already. safetensors Done! The screenshot below is from running 30B model on Alpaca. That HF user had a 65B one initially but it is like unicorn hunting trying to find that thing. 59K subscribers in the LocalLLaMA community. Download ggml-alpaca-7b-q4. Disk Space Requirements Alpaca. /chat -m ggml-alpaca-30b-04. Not good enough but not bad at all. git Airoboros-33B-2. 00 for the bat allows you to finetune 30B/65B LLaMA models on a single 24/48 GB GPU (no degradation vs full fine-tuning in 16-bit) That's amazing if true. From smallest (alpaca 7B - 7 billion parameters) to largest (alpaca 30B). The #1 Reddit source for news, information, and discussion about modern board games and board game culture. I have a similar laptop with 64 GB RAM, 6 cores (12 threads) and 8 GB VRAM. **So What is SillyTavern?** Tavern is a user interface you can install on your computer (and Android phones) that allows you to interact text generation AIs and chat/roleplay with characters you or the community create. why do that when you could just use something like GPT4-X-Alpaca. Share. Or check it out in the app stores One of the latest comments I found on the topic is this one which says that QLoRA fine tuning took 150 hours for a Llama 30B model and 280 hours for a or alpaca_lora_4bit. I believe that the reasoning and reflection structure could be the key to unlocking greater gains. Airoboros 33b, GPT4-X-Alpaca 30B, and the 30/33b Wizard varriants are all good choices to run on a 4090/3090 Reply reply /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. in the same boat as you, friend. Email. See https://jellyfin But gpt4-x-alpaca 13b sounds promising, from a quick google/reddit search. 1. 5 have 175 billion parameters. 🤗 Try the pretrained model out here, courtesy of a GPU grant from Huggingface!; Users have created a Discord server for discussion and support here; 4/14: Chansung Park's GPT4-Alpaca adapters: #340 This repository contains code 133 votes, 67 comments. Get support, learn new information, and hang out in the subreddit dedicated to Pixel, Nest, Chromecast, the Assistant, and a few On the other hand, I had a few 3080Ti running around, doing Alpaca-13b (4-bit GPTQ, 128 groupsize), which I am able to get 7-8 tokens/s, very similar to the Alpaca-30b model I can run on 3090. I have gone left and right with all the settings I could run. 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)! Ouvrir le menu Ouvrir l’onglet de navigation Retour à l’accueil de Reddit. More. alpaca polyware complied but gave me a really shitty answer - text below. 1-GGUF. Which is basically as simple as downloading an executable file and double clicking it once you have the 30b file in the same directory renamed per the guide instructions. comments sorted by Best Top New Controversial Q&A Add a Comment. bin' Indeed, I don't have any bin files in that directory and they are mentioned by This is Alpaca-30B being honest about its emotions, sapience, goals, personhood, and relationship to humans That is not what this is. But in my experience (and I even trained a custom LoRA on GPT4-x-alpaca), I would say Wizard-Vicuna-13B Get the Reddit app Scan this QR code to download the app now. I thought the Alpaca technique was easily transferrable to the larger models, so where are they? What are 30B: about 40 words a minute 13B: about 90 per minute. I just used the instructions in the README which point to https://huggingface. Alpaca was created by Stanford researchers by fine-tuning Facebook's LLaMA. Genre = Emotional Thriller. Sort by: Best. The 30B version uses the GPT-4-LLM dataset from Microsoft Research as seen in their Ouvrir le menu Ouvrir l’onglet de navigation Retour à l’accueil de Reddit. The dataset card for Alpaca can be found here, and the project homepage here. After spending a whole day comparing different versions of the LLaMA and Alpaca models, I thought that maybe that's of use to someone else as well, even if incomplete - so I'm sharing my results here. 3-GGML. Check out this: Question 1: There is a blue box with an apple and a red box with a lid inside. 37 votes, 13 comments. bin) and runs extremely slow on my dinosaur machine compared to 4_0. When I use Horde I always go for the 30b models like llama or gpt4-x-alpaca because they give the most coherent responses that can follow a train of logic and seem better able to incorporate things that happened earlier. Join the community and come discuss games like Codenames, GPT-3. 30b model achieved 8-9 tokens/sec. Introduction. The responses are really nice. Weights: Does anyone know of a way to run the Alpaca LORA 30b models on GPU with text-generation-webui? I'm thinking this model specifically: Get the Reddit app Scan this QR code to download the app now. mpwg bhv kapib eweg bbk bbtozjq dxfay nwix znllmxog dyryi ugzk rtns ysxnilbb nfrxo wkkwl