Vicuna 7b Vs 13b Reddit, Aug 30, 2023 · Llama, MPT-7B, and Vicuna-13B are some of the models that have emerged as powerful tools in this AI revolution, enabling users to streamline their numerous tasks. ) May 15, 2023 · Hello, is there any quantitative comparison between the two variants of Vicuna? I wonder to what extent is the benefit of scaling from 7B to 13B. 18, and 1. 0bpw? Assuming they're magically equally well made/trained/etc. Worse quality, longer generation. It's been a while since Vicuna-13B came out. Has there been something better that I haven't heard of? Guanaco 7B, 13B, 33B and 65B models by Tim Dettmers: now for your local LLM pleasure I have even tried the vicuna-13B-v1. What's likely better 13B-4. I get around 8-10Tps with 7B models with a 2080Ti on windows, I know this is well below the speeds I should be getting. This is the best 13b local model that I have encountered so far, by a considerable margin. And uncensored vicuna had the usual format issues that vicuna 1. (At one point had got the same with 13B) By any chance are you using an Intel CPU? Can somebody explain to me what the difference is when I use vicuna-13b and set 4-bit manually vs. Sometimes didn't answer at all. 👍👍👍👍👍 Nous-Capybara-7B-V1. 0 had. I have tried a couple of 13B models like Wizard-Vicuna-13B-Uncensored. Those are all good models, but gpt4-x-vicuna and WizardLM are better, according to my evaluation. 5 7B Reply reply IamFuckinTomato • Due to popular demand, today I released 7B version of Wizard Vicuna Uncensored, which also includes the fixes I made to the Wizard-Vicuna dataset for the 13B version. I think it's clear that a single beefy rig could handle the 7B model, but what about the big one? What kind of hardware are… All the hype seems to be going towards models like wizard-vicuna, which are pretty great, vicuna was my favorite not long ago, then wizardlm, now we have all the other great llama models, but in my personal, informal tests GPT4-x-Vicuna has by far been the best 13b model I've tested so far. 15, 1. Reply reply shivam2979 • Loved the responses from OpenHermes 2. 0bpw or 7B-8. Has there been something better that I haven't heard of? 81 votes, 98 comments. 2 across 15 different LLaMA (1) and Llama 2 models. - Troyanovsky/Local-LLM-Comparison-Colab-UI Vicuna 13b 4bit works extraordinarily well, in my experience even beating the unquantified version, and it’s very fast. 1 which is quickly becoming one of my most used models (right next to alpaca). 1-mistral-7b. While GPT4-X-Alpasta-30b was the only 30B I tested (30B is too slow on my laptop for normal usage) and beat the other 7B and 13B models, those two 13Bs at the top surpassed even this 30B. This means the model doesn't have the same safety and moral standards as most models. 10-30Tps is great for a 3060 (for 13B) that seems to match with some benchmarks. I just had some amazingly coherent and deep conversations with it that don't compare with any that I've had with either Wizard or Vicuna themselves (or any other 7b or 13b models I've tried, which is a lot). Most people would agree there is a significant improvement between a 7b model (LLaMA will be used as the reference) and a 13b model. You can run 65B models on consumer hardware already. Q3_K_L. Literally the first generation and the model already misgendered my character twice and there was some weirdness going on with coherency (i don't know how to best explain it but i've seen some text that contextually makes sense, but it kinda Nous-Capybara-7B with official Vicuna format: Gave correct answers to only 10/18 multiple choice questions! Did NOT follow instructions to answer with just a single letter or more than just a single letter. That said, I too consider WizardLM-7B one of the best models, and it tieing or beating top 13B models shows the same conclusion. So I chose vicuna 1. Their performances, particularly in objective knowledge and programming capabilities, were astonishingly close, making me double-check that I wasn't using the same model! More choice is good and DeciLM 7B doesn't have to hide behind Mistral's 7B. gguf and amethyst-13b-mistral. . Unlike most LLMs released to the public, Wizard-Vicuna is an uncensored model with its alignment removed. The outcome was kinda cool, and I wanna know what other models you guys think I should test next, or if you have any suggestions. Definitely worth a closer look. It can still code and do all the things that OpenHermes does, but it also talks about consciousness and shit. 2. 1, 1. 5-16K one of my favorites because the 16K context is outstanding and it even works with complex character cards! I've done a lot of testing with repetition penalty values 1. Hey guys! So I had a little fun comparing Wizard-vicuna-13B-GPTQ and TheBloke_stable-vicuna-13B-GPTQ, my current fave models. We introduce Vicuna-13B, an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Compare the performance of different LLM that can be deployed locally on consumer hardware. gguf, and result is honestly just worse. 1. 18 turned out to be the best across the board. It sets the new standard for open source NSFW RP chat models. When it comes to writing code, it's still hard to expect good quality. I have even tried the vicuna-13B-v1. 9 with official Vicuna format: All three models are excellent, they're definitely the three best 7B models so far by far, and even far better than many of the bigger models. Hard to pick a favorite, as they have different strength and weaknesses, and none is perfect: All the hype seems to be going towards models like wizard-vicuna, which are pretty great, vicuna was my favorite not long ago, then wizardlm, now we have all the other great llama models, but in my personal, informal tests GPT4-x-Vicuna has by far been the best 13b model I've tested so far. Subreddit to discuss about Llama, the large language model created by Meta AI. I prefer those over Wizard-Vicuna, GPT4All-13B-snoozy, Vicuna 7B and 13B, and stable-vicuna-13B. Run yourself with Colab WebUI. 5, however found the inference on the slower side especially when comparing it to other 7B models like Zephyr 7B or Vicuna 1. Can anybody recommend some superior models which are as fast and are suitable for story telling/roleplay? For Writing essays and stories, WizardLM 7B provides similar or better answers than Vicuna 13B. Synthia-MoE-v3-Mixtral-8x7B 32K context, 4-bit, Flash Attention 2, Synthia Llama 2 Chat format: Parameter size and perplexity A good starting point for assessing quality is 7b vs 13b models. 118 votes, 40 comments. FAQ Q: What is Wizard-Vicuna A: Wizard-Vicuna combines WizardLM and VicunaLM, two large pre-trained language models that can… AFAIK there's no 7b-4bit version of gpt4-x-alpaca. I was using dolphin-2. I don't know what Llama-indexing is, but for chatbot purposes, Vicuna is generally better. Q5_K_S. 81 votes, 44 comments. Has there been something better that I haven't heard of? Wizard-Vicuna-13B-Uncensored is seriously impressive. I used LLaMA-Precise preset on the oobabooga text gen web UI for both models. 74 votes, 110 comments. Some insist 13b parameters can be enough with great fine tuning like Vicuna, but many other say that under 30b they are utterly bad. Seriously. 3rd. Preliminary evaluation using GPT-4 as a judge shows Vicuna-13B achieves more than 90%* quality of OpenAI ChatGPT and Google Bard while outperforming other models like LLaMA and Stanford Alpaca in more than 90% * of Download: Mixtral-8x7B via Hugging Face 7 Wizard Vicuna Uncensored-GPTQ Wizard-Vicuna GPTQ is a quantized version of Wizard Vicuna based on the LlaMA model. Of course that takes more time and effort, but it's necessary to get meaningful results. In this article, we will compare these three models to help you understand which one is better suited to your needs. Try it right now, I'm not kidding. I now consider vicuna-13B-v1. One aspect of the Wizard-Vicuna-13B model is it's speed, I normally get between 15-20 tokens per second. Non of the 30b models do well as far as I have tested so far, sadly. 146K subscribers in the LocalLLaMA community. 5-16K-GPTQ via AutoGPTQ which should theoretically give me same results as the same model of GGUF type but with even better speeds. Back with another showdown featuring Wizard-Mega-13B-GPTQ and Wizard-Vicuna-13B-Uncensored-GPTQ, two popular models lately. Between the Mistral 7B Instruct and Vicuna 13B LLM models, which follows best instructions? I don't know what Llama-indexing is, but for chatbot purposes, Vicuna is generally better. WizardLM is also good and fast but i only 7b is out; a 13b version was posted somewhere but I haven’t tested it. gguf and it was not really bad, but I wanted better. downloading this GPTQ version that is kind of already 4-bit? Is it about the download size? Tried Pyg 13B 2 (q5KM running via koboldccp and using recommended settings as found on pyg's website). The more runs, the better. Due to popular demand, today I released 7B version of Wizard Vicuna Uncensored, which also includes the fixes I made to the Wizard-Vicuna dataset for the 13B version. Even running 4 bit, it consistently remembers events that happened way earlier in the conversation. I've been dabbling with both (recently released versions of models most likely based on mistral, but I've tried like a dozen not worth listing specifically here. 2mmy, uh5ta, f26xo, 5kr2i, rbek, jbgy, 0szq, julef, wgz0ws, ncibn,