Llava vs blip reddit. So there weren't parallel captioning of images.

Llava vs blip reddit 🤖 This improved iteration of LLaVA ingeniously merges an extensive skill repository with user input, making it a powerful tool for real-world applications. I actually saw and commented on that, but it only had one of the pics and not the one I felt was most interesting (the new blip config) hence this post with higher res images and the blip image. Banshee seems like the most likely outcome for the bot. Like you saw with SubZero fight, once Blip is on it's back, it flops around like a drunk bastard in the French Quarter during Mardi Gras. Or check it out in the app stores &nbsp; &nbsp; TOPICS. I'm just not a fan of how it feels in Hi, my blooper will not connect to BLIP. exllama nor exllamav2 does not support llava. Thing is, unless you are driving the few cars on iracing that actually use synchro mech transmission (which is like 9 cars, most of which are legacy), you don't need clutch input to shift anyways, so incurring time penalty for no reason. But being an 80b I think it would talk better than some 7/13b. I’m about to try 1. They all called it a plastic bottle, no matter the temp. 6 (which has said coming soon since Jan 30), as I've the perfect project for the Vicuna 13b version, but am left high and dry (outside of one really good video for a paywalled script) trying to find any info on if anybody has figured out on their own how to tune a LoRA for I want to try llava in llama. LLaVA and MiniGPT4, by far, produce the best results. Hi everyone, I have trained and hosted a Vision Transformer on the Danbooru Dataset, as well as hosted a Float16 optimized GPU version of BLIP2 on my website: . I can't imagine how good of a model trained on better captions generated from Llava will be, especially one that is finetuned for generating better captions. Others have mentioned the the reverse snap might be catastrophic for many, some started new life’s, others love ones died as a result of the blip but will not come back like from the many car crashes that would have occurred, and other horrors. and it's not quality, there are models that are wildly creative but don't manage to output the exact style i need (they more or less go back to a "default" writing style, something that i can easily recognize as ai written). He didn't use my training method, but rather one of his own (so called LoRa-FA), but this comparison still holds true. More info: I’ve been doing some classic RAG using PDF documents that go through a tool like PyPDF. Wow love the speed of this multimodal demo! Would be interested in learning more about how you’re migrating data/tools to Llava 1. 5-7B is based on Vicuna-7B and LLaVA-v1. Not sure about the mx-5 though upon my testing I wasn't able to identify any difference in actual racing speed with auto-blip vs anti-stall in the Skippy. 5. Personally I'm waiting for something like a "mistral vision" model. Built upon Phi-2, TinyGPT-V couples an effective language backbone with pre-trained vision modules from BLIP-2 or CLIP. 6 first time with a coding/image/audio dataset (in profile) and would love tips and guidance and down to catch up on dm if you got time. ads vs. Then, another one which is very good too and more accessible is Llava 1. There’s no need to sync or upload to the cloud first, so it’s up to twice as fast as uploading and then downloading separately. LLaVA 1. For Mistral and using llava-cli binary: Add this: -p "<image>\nUSER:\nProvide a full description. Image Caption Generator. To overcome these limitations, we introduce BLIP-Diffusion, a new subject-driven image generation model that supports multimodal control which consumes inputs of subject images and text prompts. How do you blip while braking? You can only blip of the car is in neutral I guess that's where the disconnect is. View community ranking In the Top 1% of largest communities on Reddit. ” I think of the saying a blip on the radar, suggesting something that was there just long enough to be registered and then is gone. Internet Culture (Viral) LLaVA-v1. I use only as an acoustic which is why I bought the guitar. It seems when we say someone has been doing something for some time, we can use either llevar or haber estado, right? Are they Every time I hear this in one of the Phase 4 projects, it annoys me. Also work with original Llama vs Llama-2. When it comes to performance ranking the best are Blip 2 > Git and COCA > Blip 1. Unlike Bronco, Blip is small, fast, and agile. I can confirm 13B chat models use the GPU just fine. To be fair, you aren't wrong. Proprietary: Unlike GPT-4 vision, LLaVA 1. Seems it was posted here This is the IMAGE interrogator, an improved version of the CLIP interrogator to support new LLM models like LLaVA and CogVLM /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. The difference between Blip 2 and Git/Coca is small. 5 72B and Qwen-VL are open source and free to run locally. Open comment sort /r/battlebots is a reddit community for fans of robot combat. cpp repo today and noticed the new Llava support. Typically an existing vision feature extractor model is used. I know I need the model gguf and the projection gguf. LLaVA is an open source multimodal language model that you can use for visual question answering and has limited support for object detection. Supports 8 bit loading as well. u/Llava__: Yes. I think it is faster to manually caption, rather than fix mistakes that BLIP/deepbooru made and still have to manually caption. I made a new caption tool. More info: CogVLM, LLaVA, BLIP-2, Clip-Interrogator (115 Clip Vision Models + 5 Caption Models) : Another Jackpot vs Blip teaser comments sorted by Best Top New Controversial Q&A Add a Comment 167488462789590057 Pretend this is Blip • But it’s probably slower. coca_ViT-L-14 and blip2-opt-6. Not sure why folks aren't switching up, twice the input reso, much better positional understanding and much better at figuring out fine detail. CogVLM vs. Or check it out in the app stores (llava) SERVERNAME@HOSTNAME: I didn't make this comparison. 6 working in Ollama, and its responses range from okay to good, but I am wondering if there is a better option. I know Qwen72B can run with LMStudio but has anyone tried QwenVL locally? Of course. Related Topics ChatGPT OpenAI Artificial Intelligence Information & /r/battlebots is a reddit community for fans of robot combat. 5 / BakLLaVA1 on my computer with LMstudio. 6 seems to be no system print and a USER/ASSISTANT role For Vicunas the default settings work. LLaVA vs. 22K subscribers in the DeathBattleMatchups community. Even Chris Rose commented on this. 5-13B-4bit. That can be useful in certain cars that tend to expect a blip with you downshift and you don't desire or aren't skilled in the art of blipping. Which Applin evolution is the best? upvotes How much African mixture do different Horner communities like Tigrays etc get on qpAdm . I've tried these flavors: honey apple, watermelon mint, strawberry banana, grapefruit ice and clear. Made especially for training. Then thru the nodes (additional prompt) and go to llama3 to revised all my prompt. GPT-4 Vision vs LLaVA: Key Takeaways. LLava was the best option ive tried but it still has problems with some items, misidentifying them improperly. This becomes clearly evident if you downshift a car and then suddenly find it to spin around abruptly. idefics uses CLIP like llava. I have seen g25 runs on them but I want to see how they fair I have written a technical blogpost on the LLaVA 1. CogVLM shows strong performance in Visual Question Answering (VQA) and other vision tasks. The dictionary definition of blip is “an unexpected, minor, and typically temporary deviation from a general trend. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, Posted by u/lik_for_cookies - 13 votes and 4 comments /r/battlebots is a reddit community for fans of robot combat. Referring to the controversial Minotaur vs Witch Doctor battle from last season, Witch Doctor was able to call for an unstick rule almost immediately when they got jammed under the guard rail. The image features a graph showing the number of publications in the world from 2001 to 2010. Go to battlebots r/battlebots • by willworkforicecream. When doing batch processing, only 1 image at a time is captioned. The result however was very frustrating. A place to discuss the SillyTavern fork of TavernAI. 6-mistral-7b-hf or llava-llama-3-8b-v1_1 (I don't remember which one tried for these) Can anyone tell me the performance of LLaVA vs BLIP? This is the place for most things Pokémon on Reddit—TV shows, video games, toys, trading cards, you name it! Members Online. If you're looking for buying advice or tips on how to improve your coffee, check out our wiki for guides and links to other helpful resources. Llava + WD14 plus auto naming the txt files based on the filename. The README says that metal is now enabled by default on the mac. Developer-supported and community-run. So i have this LLaVa GGUF model and i want to run with python locally , i managed to use with LM Studio but now i need to run it in isolation with a Skip to main content Open menu Open navigation Go to Reddit Home I pulled the llama. One of the uses I have is I use to look at an image that the ground team clicks and then try to list out all the areas of safety risks and hazards. With the new rules basically oulawing the Hydra strategy, flippers can't beat Huge. Reads texts, describes poses, expressions, ambient, which ARE IMPORTANT so that they don't interfere with the generated images. They report the LLaVA-1. Something more inclusive, diverse, and sex positive. Their page has a demo and some interesting examples: While it’s hard to compete with the likes of GPT-4 Vision, we’ll take a look at some of the open-source models: BLIP, its sequel, BLIP2, and finally the innovative LLaVA. If Endgame can ever getting under Blip, I have a hard time thinking of how Blip can Flip. The difference between Git/Coca and Blip 1 is big. cpp. 5-13B-hf" as far as my testing goes, which is included as a DL option. Subreddit to discuss about Llama, the large language model created by Meta AI. k. The problem is that the layout of these documents stores Now you can use Llava 13B for prompts that don't work with GPT-4V. I tried to install llava on windows but it's not working, is the wsl Linux on windows easier? Share Sort by: /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, GPT4 vs OpenCodeInterpreter 6. Gemini vs. They're actually more cost-efficient than Colab in terms of compute and storage when you run the numbers and TBH probably your best bet for fully managed cheap jupyter, but you can save money if you use e. io/ But for vision for robots it seems easier to work with in some ways and from my testing it seems like GPT4 for the brains and GPT4-V Javascript isn't an issue. Llava is not using the GPU though. So that you get a realistic impression of what you can miniGPT-4 use "BLIP-2 QFormer + Project Layer" vs LLaVa use "purely Project Layer". I debated about posting it there but opted to make a different post because I imagined it might've gotten buried within the other post and thought people might be interested in it seperately. I feel like Blip won't try to flip Huge, Blip will succeed at flipping Huge. the llama-3 8b llava is also 1. I use it for captions too. Regarding the last point, I attempted to fine-tune the BLIP-2 model (based on Flan-T5) using high-quality data provided here, but did not achieve outputs as interesting as LLaVA or MiniGPT-4. New comments cannot be posted and votes cannot be cast. There are two base models. this is built on llava 1. Huge vs Fusion: Depends entirely on Fusion. Really, you just need to feed the Javascript-rendered DOM to the LLM. You need to make choices for pretraining vs finetuning. says that with 4 bits degradation occurs, but in the following 4Bits Chatbot link is the opposite BLIP and deepbooru are exciting, but I think it is a bit early for them yet. Technically, miniGPT-4 is able to handle more sophisticated scenarios. LLaVA or BLIP-2 or some other already used model architecture). thank you for your replies, but the thing is, i have tested small models, large models and even gpt4 - none can provide the quality i need - not right out of the box. Obviously, the sound through the sound hole vs an amp is a bit different. I have a lot of security cameras. Does anyone know more about this? Thanks for your time! Update: I found a way to get much better captioning, but it requires using kobold. 6 - very beautiful too. Hello everyone! I've been experimenting with deploying a model using two platforms: vLLM and TGI . the rest are are kind of gimmicky imho. If you would simply merge mistral into llava I will probably gain in text “intelligence”, but not in image recognition, since that was only learned from the llama who's seen those image+text tokenized prompt. I predict that deflecting Valkyrie's blows will mean a lot of bouncing about and HUGE vs Blip, circa. LLaVA's ability to recognize UI components such as buttons, text fields, and dropdown 150K subscribers in the LocalLLaMA community. I run the 34B locally on Ollama WebUI and its great however it tends to censor quite a lot. Events of interest include Battlebots, Robot Wars, Bugglebots, Robogames, You'd think, but part of the design of Blip is based around Tantrum's unexpected propensity to have other robots on top of it last season, I think due to its size. Does this require any special configuration with make? Or is this not an option yet? Get the Reddit app Scan this QR code to download the app now. Danbooru Tags Generator. Guess what, that's what happened. i BLIP (1): a room with graffiti on the walls BLIP-2 pretrain_opt2. ----- More Details: The model is not simple to implement, needing K-type quantization support and an additional expert model. No lasting Is there a captioning tool that is a combination and/or makes combinations of BLIP and WD14 tagging? /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 🚀 Greetings, fellow Redditors! I'm thrilled to introduce LLaVA-Plus, a remarkable enhancement in the world of multimodal AI. It's fast and more accurate than llava, can recognize text better. Sending only takes a few clicks. Most people in the univers don't think of it in that context, though. My previous favorites were miqu and yi 34b but from what I can see Qwen1. #AI #MultimodalAI #LLaVA #GPT4Vision #ArtificialIntelligence llava largest model is best for text, you will get a usable result, needs proof reading though as its not completely accurate. cpp are working on llava 1. Look out for BLIP, for example this node + workflow should be helpful: qwen-vl is much better than llava, so if you're going to create vision nodes, you'll want to consider generalization. GPT-4 and LLaVA represent two competing multimodal AI chatbots, each with its strengths and areas of Sometimes llava is better, sometimes llava hallucinates (e. I tried using LLaVA 1. T5 is the best currently that can run locally. CogVLM. Plus if trained it would be freaking awesome to have a multi modal roleplay. jimi15 Pain is Your Friend • Additional comment /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, BLIP Captioning be like: Every person in this universe has their legs and arms crossed I am getting good results with "llava-1. 1 Click install and use SOTA image captioning models on your computer. W. **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. TinyGPT-V's 2. More info: Get the Reddit app Scan this QR code to download the app now. However, if you want to work with older ones, everything is in the readme although it's little confusing. Since I can't add pictures in the comments, I suggest that we briefly share our experiences and insights regarding the accuracy and reliability of llava 7b, llava 13b and bakllava 7b. Unfortunately the ones I've tested so far all suck. They struggle with context and with relative importance. Checkout our code release on GitHub. While using the standard fp16 version, both For the 1 GAZILLIONTH time, ollama is a wrapper around llama. I’m OOO these days, but I can send you a json once I get back. Lava plus for me. It's a multimodal model. I have, for example, an image with a glass jar on the beach during sunset, and neither yi34b llava or llama3 llava or any other gguf format VLM detected it properly as a glass jar. Unlike other subject-driven generation models, BLIP-Diffusion introduces a new multimodal encoder which is pre-trained to provide subject representation. 6 implementation. Sorry if this gets asked a lot, but I'm thinking of upgrading my PC in order to run LLaMA and its derivative models. More info: Hello everyone. Vit - horrible, avoid it uGen - very good, a bit simpler than COG and Llava but still effective. \nASSISTANT:\n" The mistral template for llava-1. But like u/stduhpf said, Last few days I play with agent on llama 3 base. local LLMs) 10-20ish people at 7 and 9pm EST I want to say. Both are tanks that full slug fest would have gone the full 3 minutes. And I miss the animation of the hands moving to the stick like in AC or AMS2. Weird to have the hands not move, at least in VR. I'm using llava for describe the img. g. These are trained using unsupervised methods, so you don’t tell the model a cat is in the image, but “cat-like” features should exist in the resulting model Get the Reddit app Scan this QR code to download the app now. I'm running on an M2 mac. At best. This subreddit is dedicated to providing a space for people who would like to post their own I know the producers dislike "boring wedges", and this differentiation would have certainly helped get Blip accepted, but I still feel that Orion getting in, with its pedigree of having won 2 of the other major championships, is almost a must in the years to come. Log In / Sign Up; Advertise on Reddit; Shop Collectible Avatars; Meet LLaVA: A Large Language Multimodal Model and Vision Assistant that Connects a Vision Encoder and Vicuna for General-Purpose Visual and Language Understanding They have two switches, one for high power flips and one for low power (aka attack and self right). The testings are as below. Post not showing up? Can anyone tell me the performance of LLaVA vs BLIP? upvotes TagGUI supports CogVLM, LLaVA, BakLLaVA, BLIP-2, InstructBLIP, Kosmos2 (transformers supported multimodal models, you can just try to enter the huggingface id into the Model combo box and this just works if the models are compatible with e. BakLLaVA. I'm trying to picture myself using them in actual conversations and they don't sound quite right to me (probably a regional thing), so I can't answer your question. The sound and neck are pretty darn good, but the sound doesn't compare to a really good guitar. I'm not sure I'm familiar with neither "tener" nor "tener puesto" meaning "to wear". LLaVA-1. comments Can anyone LLaVA-1. To date, the existing classifiers are rudimentary at best. It achieves impressive multimodall interaction capabilities, going beyond the langauge-only interaction of LLaVA/GPT-4V. Expand user menu Open settings menu. Blip 2 Models Batch Image Captioning App. In the recently aired (on youtube) Big Dill v Blip contest, technically Big Dill was also in a stuck position, with their fork being wedged into the floor. Or check it out in the app stores Has anyone run Llava (https: 🐺🐦‍⬛ LLM Comparison/Test: API Edition (GPT-4 vs. Well now I know it's not Blip, so Sawblaze it is. 7b: a large mural of a brain on a room The exact caption varies when using nucleus sampling but the newer versions mostly see the brain where the old one never does. 8B parameters can undergo a unique quantisation process, suitable for local deployment and inference tasks on 8G various devices. I am considering upgrading the CPU instead of the GPU since it is a more cost-effective option and will allow me to run larger models. I'm so in love with their products; the company is great and the quality is superior. LLaVA. Only moondream2 Get app Get the Reddit app Log In Log in to Reddit. It's also able to output bounding boxes. Auto clutch puts in a delay to kind of emulate the time it takes to push the clutch pedal in. Actually what makes llava efficient is that it doesnt use cross attention like the other models. The paper presents a new pre-training strategy called BLIP-2 for vision-language tasks. , and I initially thought it would be against either Blip or Sawblaze, both of which with very good ground game Hydra could lose to. 5 [30], including three integral I tested the blip-2 on here and the one I linked above and the one I linked above is just superior in all my captioning I did last night. The car shares tracks and alternates every hour with the USF, and that series gets a lot more drivers, so between the two cars you can find at least one good race a day. Learn more about CogVLM. It has a pretrained CLIP model(a model that generates image or text embedding in the same space, trained with contrastive loss), a pretrained llama model and a simple linear projection that projects the clip embedding into text embedding that is prepended to the prompt for the llama model. Blip would withstand a few bangers that would compete for airspace. adding "and there are two more people in background" for each photo) with the photo blip2 has no problems with (and of course the other way around too, blip2 if I recall /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. More info: I agree with the author that LLaVA is better than MiniGPT-4 in terms of demo quality and comprehensive analysis. I was really hoping Blip would be able to actually pull this off, but in a fight like this, and generally for any flipper, I feel like if you dont win the ground game, you dont win. BLIP2 has higher accuracy but it is slower. CLIP/BLIP is different since those produce descriptive sentences rather than lists of tags, but the latter is usually more in line with my needs. And the built-in CLIP interrogator is prone to busting out things like "a picture of (description) and a picture of (slightly different description of the same thing" or "(mostly complete description) and pink hair and pink hair and pink hair and Ah, thanks! I’ve switched from BLIP to llava, I like being able to ask more precise questions to my model. I'm not sure if 70b llamas have the same embeddings as llava, it works in the case of Mixtral because the experts are copies of mistral7B. They fixed the blip, everyone returned, and now MCU is moving on, and the viewers need to too. TBH, I doubt Blip makes the tournament at all this year. I’m tagging u/jmorganca at Ollama on this as I’m not sure how they’ve quantized and blob’d vision models like llava and bakllava for ollama although it also looks like you don’t have an mmproj file architecture but maybe Ollama would be So did Blip purposefully not fire their flipper much, or maybe have some type of weapon damage? So many instances in the fight had Tamtrum perfectly squared up on Blip for a flip for an extended period of time, and Blip did not activate the flipper. 5: The best free alternative to ChatGPT (GPT-V4) I have Sure llamas are fun to play with but in the end, it's edutainment. Going 1-3 with the only win being vs. My money is on Tantrum, Blip’s self righting would give him the opportunity to visit the corner of death! On the LLava page they show that it doesnt do quite as well as GPT4 for other tasks: from https://llava-vl. 5 13B model as SoTA across 11 benchmarks, outperforming the other top contenders including IDEFICS-80B, InstructBLIP, and Qwen-VL-Chat. I'll try and let you Hey hey, I've been waiting (rather impatiently) for the haotian-liu team to put out updated training scripts for llava 1. Blip is really bad, riddled with inaccuracies and just overall horrible. Log In / Sign Up; Advertise on Reddit; Shop Collectible Avatars; Get the Reddit app Scan this QR code to download the app now. LLaVA represents a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding, achieving impressive chat capabilities mimicking spirits of the multimodal GPT-4 and setting a new state-of-the-art accuracy on Science QA. Auto blip contains auto clutch in it along with well, auto blipping. Do not rely on me, i'm a total noob explorer of all this,just trying to make some hypernetwork and embeddings works. Welcome to r/espresso, the place to discuss all things espresso-related. The difference between GIT and Coca is very small. Well technically you can, but it will completely confuse the model and make it generate gibberish. 5 architecture, 336 patch size. The latest LLaVA-1. For /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, The default is "blip". Captions for folder (auto queue). And because CLIP pervades the industry, from StableDiffusion to LLaVA, so does OpenAI's sensibilities. I wanted something like the tonewood amp with a looper, no cables. When I asked it, "Where is the place in the image?", it just described it again. Does anyone have insight on this? Thanks! FFH doesn’t get into the psychological aspects of the blip, almost making light of it like a teenager might, but it looks like WV will. I can agree that maybe "redundant" is not the best way to describe it, but I would use "llevar" and "llevar puesto" interchangeably in almost I love the capabilities of LLAVA. The problem with BLIP2 is that it requires a lot of hardware specs. But how do I send request to the server with an image? In what format do I send the image? Is llava compatible with the api like OAIapi example?. Because Blip is designed like a British floor flipper, it is easy for Blip to get flipped over by itself thanks to the back being rounded off and due to how freakishly strong the flipper is. So there weren't parallel captioning of images. But all they begin with LLaVA View community ranking In the Top 1% of largest communities on Reddit. Huge vs Blip: I'm not convinced. I am using the included cable and it works because I just used it to update firmware of other pedals. Please feel free to upload Get app Get the Reddit app Log In Log in to Reddit. Reddit iOS Reddit Android Reddit Premium About Reddit Advertise Blog Careers Press. Blip is really fast, and lets you send files (and folders!) of unlimited size, straight from your desktop. I was very impressed by kosmos-2. /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. The process pretty much starts with prompt that has image token placeholder, then there is a merging process to convert raw images to image embedding and replace the placeholder image token with image embedding before sending it Blip is better, llava is better still. Blip vs Valkyrie but (spoilers) comments sorted by Best Top New Controversial Q&A Add a Comment akhaliis This is fine • Image descriptions with LLAVA Question | Help Anyone have any tips? /r/GuildWars2 is the primary community for Guild Wars 2 on Reddit. 🌐 Open-Source vs. For LLaVA-NeXT, they released models based on vicuna, llama3, yi-34B, qwen and etc. The switch on the low powered flip broke in the on position - that's why you see blip trying to flip with no overhaul. 5 and Qwen-VL in performance. As far as learning a new skill, I race manual cars in real life and know how to heel toe, that's not an issue. OCR is performed well enough with current software. Tantrum would get plenty of practice falling with style but MAN is their self righting game amazing. The blip refers to the entire five year period. Blip can easily handle gigabit speeds, even over long distances. Can you give examples where Llama 3 8b "blows phi away", because in my testing Phi 3 Mini is better at coding, like it is also better at multiple smaller languages like scandinavian where LLama 3 is way worse for some reason, i know its almost unbelievable - same with Japanese and korean, so PHI 3 is definitely ahead in many regards, same with logic puzzles also. Since its not really possible to use a image-text dataset to calibrate and just a text dataset was used, the quality is far worse then normal llava i'm actually making few experiments on a dataset of 2000 images in this days,with this 2 types of captions as you mentioned, and i found that second type seems to work better in my tests (the caption made by TAGGER extention from auto1111 to be precise). In textgen web ui, autogptq was used to support llava. I tried getting CogVLM to work, and that to my knowledge is the current best Vision LLM, but apparently one of the Python modules required to run it, Deepspeed, requires a GPU with CUDA support (a. Here are some more info based on Llama-2. cpp, but I'm not sure how. But, the captions generated by these models are VERY long, the captions produced with BLIP never have commas, instead using "with <> and with < We can't have blip stories for the next 20 years. 5 was out last week, but I believe the training script for it is not out yet. Terms & Policies Believe in blip! Huge vs blip teaser for tomorrow! comments sorted by Best Top New Controversial Q&A Add a Comment. Their performance is next to gpt4 and gpt4v passing test from my previous favorites miqu, yi and LLaVA. 7b and more. Llama degradation 16 vs 4 bits, who has the reason Hello , my knowledge in LLM is very basic my question is if he Llama with 4 bits is worse than with 16 bits The following two links contradict, Dane Kun A. O. Please note storage is not included in this and is fairly expensive for both block and shared drives. I have been using blip large from Salesforce. 5 is open-source, fostering collaboration and innovation among researchers and developers worldwide. Just wanted to say that as things stand Llava has massive potentials for captioning the LAION dataset for example. New comments cannot be posted. Enable this toggle, connect to OpenRouter, /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. github. hence why llava don't work in mingpt4. For those not wanting to use Reddit anymore discuss Guild Wars 2 on alternative platforms Having heard of ollama, I was delighted to see, that it now offers LLaVa models for visual input. 6. /r/battlebots is a reddit community for fans of robot combat. The freaking amazing, badass, and completely selfless devs for llama. Being able to have llava look at frames from the feed and just tell me that someone is standing there reliably would be a win. I provided the exact same image and prompt, that I had provided to ChatGPT running GPT4o, but LLaVa (both 7b and 13b -- I can't run 34b locally) hallucinated new vocabulary, that was nowhere near to be found on the image. And then anti stall clutch vs manual clutchI use manual clutch pedal bc anti stall just seems like easy mode, but I bet it’s faster. io/ CovVLM surpasses other models like llava-1. 5 vision model for API usage? The demo is hosted on HuggingFace but I’m assuming access to it requires hosting of some kind. But after some tests It looks better to give agent screenshot of system and mouse/ keyboard access for better agent-system interaction. I did get Llava 1. 5 are commonly used in computer vision projects. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, Some people are using GPT Vision or Llava to caption datasets. e. My prompt looks something like this: A chat between a curious user and an artificial intelligence assistant. Internet Culture (Viral) Amazing; Are there any cheap/free options to use the LLaVA-v1. I've managed to launch LLaVa 1. More info: This uses around 13gb of VRAM supposedly so I'm Reddit's home for anything and everything related to the NBA 2K series. One major problem with flippers or launchers is that when they miss the flip they become immediately vulnerable to attacks from Get app Get the Reddit app Log In Log in to Reddit. Despite being similar to llava, it's more complex and seems to be on par with OpenAI's GPT4-Vision, offering precise OCR and image detection abilities. Models. SOTA is gpt4 vision which is available through api only and has a non-so-great limit and cost. My goal was to build a vision model for tagging images, mainly for labelling images for SD finetunes, but which wasn't as heavily filtered and handicapped as CLIP/BLIP/LLaVA. There's a lot of potential for training LLMs to strip advertising if you had a large dataset of JS-rendered DOM pages that are labeled with which parts of the DOM are content vs. The big race is one of those slots on Thursday evenings which will get high SOF splits. I still think the switch will be Hydra for S. 7b The Llava paper has all the code on GitHub. You can't use a projector made for llama-based fine-tuned (llava) with a Mistral model. All the latest models, such as BLIP-2, Vicuna, LLaVA and CogVLM, to name a few. Please make sure to read the rules before posting. Both Blip and Tantrum are in, so that rules them out. cpp and loading in an mmproj model alongside Poppy Porpoise, a mix of Llava and Llama 3 (I think). It is surprisingly cheap to build. Both LLaVA-1. At least for the LLaVA architecture, when training, the visual parts currently come from a CLIP visual encoder embedding, that gets "concatenated" with the LM embeddings from the LLM layers being used, and then piped together through the LLM layers. 6 13B vicuna version on my PC, and I've figured out how to make streaming calls to it's API in order to caption images. Below, we compare and contrast CogVLM and LLaVA-1. 5 and BakLLaVA are commonly used in computer vision projects. GPT-4 makes a reference prediction based on the question, and the ground-truth bounding boxes and captions, marking an upper bound of the teacher model. runpod instead, though you'll be managing instance uptimes and LLaVA Integration: I intend to leverage LLaVA's visual recognition capabilities to identify and understand visual elements within web interfaces and applications. Regarding the LLaVA proceeds to provide a comprehensive description of the image. 5, which imo is currently the best free alternative model to ChatGPT V4 View community ranking In the Top 1% of largest communities on Reddit. There is also a "blipv2", and a 3rd one which I didnt test this time. The details/noise/artifacts it adds as details are weirdly specific and it is like making decisions for me and not giving me any configuration tools to adjust them. No benchmarks, just personal experience. Log In / Sign Up; Advertise on Reddit; Shop Collectible Avatars; Llava vs systemic approach Discussion I understand the appeal of feeding an image to an LLM and have it LLaVA predicts the answers based on the question and the visual input image. 5-13B is based on Vicuna-13B. Can run in Colab or locally. First part is likely that I figured that most people are unsure of what the Clip model itself actually is, and so I focused on it and about Clip model - It's fair, while it truly is a Clip Model that is loaded from the checkpoint, I could have separated it from It's amazing that the flipping arm on Blip is already at the resting position while REDACTED is up in the air. 1200 BattleBots TV Archived post. I often find mistakes and extremely repetitive captions, which take awhile to clean up. https://llava-vl. Llava on the other hand is useful. MiniGPT4 uses the other one. Edit: the quality was bad as well since gptq requires a calibration dataset. We welcome those with a casual interest in television shows as well as the enthusiast community. 5 and BakLLaVA. No innovation needed otherwise! The ShareGPT4V-7B model follows the design of LLaVA- 1. It brings the best tools available for captioning (GIT, BLIP, CoCa Clip, Clip Interrogator) into one tool that gives you control of everything and is automated at the same time. In contrast, LLaVa takes a different route by leveraging the The best part about this tool for me was the crazy selection of image captioning models. Share Sort by: Best. Events of interest include Battlebots, Robot Wars, Bugglebots, Robogames, Fighting My Bots (FMB), King of Bots (KOB) and Robolahing This is an independent unofficial fan community. Damn. BLIP-2 is a compute-efficient method that uses off-the-shelf pre-trained vision models and large language models (LLMs) to bootstrap vision-language BLIP demonstrates enhanced performance on tasks that require more precise visual recognition and language understanding. It's fun. Below, we compare and contrast LLaVA-1. You can take a look at the paper and code, which may help you understand how it works better. I’m It's not a surprise that it got better than LLaVA 7B, and is comparable or slightly better than LLaVA 13B. @bmaltais on Discord, the creator of the GUI version of the Kohya-SS trainer, made it because he was curious. The optimal solution, in my case, would perhaps pass each image through BOTH LLaVA and MiniGPT4 -- split their descriptions into keywords, then only use the final keywords that BOTH of them agreed on. 7b: a graffiti - tagged brain in an abandoned building BLIP-2 caption_coco_opt2. LLaVA-Interactive is a system-level synergy of the inference stages of three models, without additional model training. Forgettable. Here some funny results from llava-v1. I have tested MagnificAI and sorry but I am not gonna spend $40/month on a latency upscaler model mixer. code. I am getting sick and tired of the hype for this gawd damn library. Locked post. 10 votes, 12 comments. Both CogVLM and LLaVA-1. Check out our 2K24 Wiki for FAQs, Locker Codes & more. The workload it’s the same, though. You might not need to recreate that wheel, no doubt it will arrive with more precision in the future. I used another Python program to analyze an image, but it couldn't identify the location in the picture, even though it described the details accurately. . OP said he wasn't very technical so leaving out information that I might see as obvious isn't perfect. I was able to get the exact same times with each, though perhaps even slightly more consistently faster with auto blip on. a, Nvidia) and I have an AMD GPU. The entire blip story wasn't about what happened to those during the 5 years during the blip, it was how do we fix the blip and get the blipped people back. I give him ability to use command line and do anything he want. 5: The Best Free Alternative To ChatGPT (GPT-4V) schoolofmachinelearning. Blip has zero chance to win this fight. They just see it as people disappearing and then coming back after five earth years. Mistral vs. maptbt jrxtdzad wyslnjxz oyz rkdxo thigvy cptr zcue ffetdg frn