Llama 400b reddit. Just using LLaMA 3 70B, it is wildly good.

Float16 training with no sparsity. It currently is limited to FP16, no quant support yet. If nothing changes until its release, this will take away all the moat of the current frontrunners Seriously, they need to release whatever they're sitting on fast, or else it will soon become pointless. For $5/mo, I'll send you a weekly newsletter covering the most important & interesting stories written in a digestible way. So llama. E. Mostly speculation, but based on the size reduction of GPT 3. It was trained on a dataset of 1. " hes building the ultimate ai girlfriend with it and not telling his wife ;-) naughty naughty! Apr 18, 2024 · Today, we’re excited to share the first two models of the next generation of Llama, Meta Llama 3, available for broad use. Over 30k models on HuggingFace are based on Llama 1 and 2. Llama 3 8B has been released. Meta Llama 3. a 4090. However, as the parameter count increases, so does the robustness of the model to quantization. Yep, Opus came just a tad early to release GPT 5 in response so they rolled out an update in the meantime. 10$ per 1M input tokens, compared to 0. I'm mostly been testing with 7/13B models, but I might test larger ones when I'm free this weekend. The scores for the coming 400B model, which is still training, are already comparable to important closed models. Apr 18, 2024 · The Llama 3 400B model is still training and coming soon. 76T params). Apr 18, 2024 · my subreddits. The software ecosystem surrounding Llama 3 is as vital as the hardware. cpp supports working distributed inference now. Trained on 2 24k GPU clusters. People are complaining about the context length, but ppl are already testing on larger context length, and some small finetunes can easily extend its context length to 32k, and Llama 3 released; 8B & 70B now, 400B+ still training. It made a perfect snake game very easily, and passes the apple test pretty well … Llama-3 is making waves in the AI community. Later, there will be more fully trained checkpoints that have made it through more of the dataset, and we can reasonably expect them to perform better due to longer training. New more efficient tokenizer and a vocabulary of 128k tokens. It would be basically all I ask for so bring it on. “Our largest models are over 400B parameters,” it wrote back then, adding This is the current benchmark of Llama 400B (still in training). When responding to basic greetings or straightforward questions, keep your replies concise and direct. InternLM utilizes a multi-phase progressive pretraining approach to develop its capabilities in a controlled Q: Llama 400B? A: In theory, likely at 2. So even if it's 1/3 as fast, I'll be ecstatic. It's only gotten through 400b of the tokens at the moment, and that's why it's called a checkpoint. I wonder if this is a mistake, it seems a bit of a PR blunder. Of course, this doesn't include other costs like extra hardware and personnel costs etc. Llama 3 Software Requirements Operating Systems: Llama 3 is compatible with both Linux and Windows operating systems. I'd love to know what setup, people that are planning to run this massive model on their local, have in place. Everything pertaining to the technological singularity and related topics, e. I feel scaling P40s are gonna be way cheaper than scaling 3090s for 400B Llama 3. We would like to show you a description here but the site won’t allow us. Then each card will be responsible for its own half of the work, and they'll work in turn. Just using LLaMA 3 70B, it is wildly good. One nice thing about this build is when A6000s (or dare I hope A100's) get cheap enough, I'll be able to replace the Zeus 3090's and move those 3090s into this rig win/win except for our bank 4 days ago · The Llama 3 400B model is a game-changer, boasting over 400 billion parameters and achieving near-parity with OpenAI's GPT-4 on the MMLU benchmark despite using less than half the parameters. May 2, 2024 · use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:username find submissions by "username" site:example. System Prompt: You are an AI trained to engage in natural and coherent conversations with users. 8, and on chat Elo (1185 vs 1091) per their evaluation. If your post is a DALL-E 3 image post, please reply with the prompt used to make this image. 70b llama2 @ 4bit), so if you want to run larger models that is a HUGE difference in usability vs. It seems that in the end, maybe, there is no moat, since it seems that LLaMa 3 400b will have better capabilities than Opus and GPT-4 while being open-source (assuming it will be open sourced). Well when I try to use Llama 3 for story writing it's output is just not as "storyish" was Goliath and Miqu are. People can make distilled models of smaller size (like Phi 1. Looking ahead, I’m excited to explore the Llama 3 400B model As a general rule of thumb, take the parameter count in billions and divide by 2 in order to guesstimate the 4-bit size. Learn about prompt jailbreaking techniques and the impact of stolen YouTube data on AI models. TIA! 16GB not enough vram in my 4060Ti to load 33/34 models fully, and I've not tried yet with partial. u can run llama 3 70b, qwen2 70b, gemme 27b, and consolidate the answer and is still less than one prompt on 400b model. Launch the server with . I've been able to fit IQ2S @ 3072 with 100mb if vram left (llama 3 70B) on the 3090 and the output is faster than I can read. fb. Jul 12, 2024 · We would like to show you a description here but the site won’t allow us. Our latest version of Llama is now accessible to individuals, creators, researchers, and businesses of all sizes so that they can experiment, innovate, and scale their ideas responsibly. What you can do is split the model into two parts. Groq's output tokens are significantly cheaper, but not the input tokens (e. I'll be fine-tuning, evaluating & releasing Llama-3 & different LLMs over the next few days on different Medical and Legal Jul 2, 2024 · Meta AI has been hinting at the release of the 400B model since its original press release about Llama 3 on April 18. It's like Llama 3 just wants to wrap up whatever is happening the story in a few hundred tokens (similar to how a chat model would work) whereas goliath and miqu seem to really embrace the story telling. An example of an AMD board that supports 8/8x on the first and second slot is the Asus ProArt B650 or X670E. But when it comes to discussing 'controversial' issues, it would totally stick with the mainstream talking points. This will comodify GPT-4 level fine-tuning (not locally though). You can run a model across more than 1 machine. Quite short sadly. Llama 2 is really bad at all coding benchmarks compared to even GPT-3. 5 and seems to be better than GPT-4o, starting with the simple fact that Opus beats Reka's large model (which granted is still training) on HumanEval 84. 0 knowledge so I'm refactoring. 8k context length. This release features pretrained and instruction-fine-tuned language models with 8B and 70B parameters that can support a broad range of use cases. 15 hours ago · Discover the latest AI breakthroughs: LLaMA 400B, musculous skeletal Androids, Sora AI-generated videos, AI-first video game engines, and more. 5 Pro on MMLU, HumanEval and GSM-8K, and — while it doesn’t rival Anthropic’s most performant model, Claude 3 Opus — Llama 3 70B scores better than the second Everything pertaining to the technological singularity and related topics, e. 5. This is incredible momentum and shows 382 votes, 137 comments. Hey u/PipeDependent7890!. ai you can play around with what seems to be the 400B Llama3 model. Those benefits from 400b are mostly corporations and potentially meta’s competitor who can use the model to help train their own model. I'm guessing the total costs may have exceeded $1 billion. Only 903 Elo on their chat evaluation. This is some info from my last one covering llama 3. Initially the documents are processed by a fast 70B model, then as a slow background task they can be reprocessed by a bigger LLM like Llama 400B. It's a work in progress and has limitations. 0bpw with Exllamav2 for (I'm theorizing) 1-2 tokens per second or Q4 GGUF at like some fractional t/s. AI, human enhancement, etc. Super crazy that their GPQA scores are that high considering they tested at 0-shot. Additionally, it drastically elevates capabilities like reasoning, code generation, and instruction We would like to show you a description here but the site won’t allow us. F*cking finally somebody is finally releasing something - I mean, giving an actual release date at least. When is the 400B multimodal Llama3 being released? On WhatsApp and meta. my subreddits. Wow I was literally about to start training a finetune for Korean Webnovel MTL with Llama 3 and ALMA-R… I figured if it’s trained on specific subculture (murim/leveling/ect) it would offer consistency akin to official localizations… part of the project would also be, whenever certain genre terminology comes up (like “mount hua sect” or “constellations) to offer a small footnote Either that or they're taking a massive loss. I was curious how it will perform in the medical domain, Here are the evaluation results for Llama-3 (7B and 70B) on a medical domain benchmark consisting of 9 diverse datasets. BUT the 2x3090's can fit a model 2x the size (e. But even beyond that a 400B open weights model with a permissive license means that there can be infinite variants and derivatives of this model. That's the prevailing idea based on all the info we have so far: Llama 1 training was from around July 2022 to January 2023, Llama 2 from January 2023 to July 2023, so Llama 3 could plausibly be from July 2023 to January 2024. It will most likely integrate similar technologies to CLIP (Contrast Language-Imager Pre-Training) to generate images using zero-shot learning techniques. What is the core improvement in Llama3? The architecture of Llama3 hasn’t changed; there are some technical improvements in the training methods, such as model alignment training based on DPO. HISTORICAL CATALOGUE OF PROGRESS AND NOTARY INFORMATION, DETAILS, AND RANDOM INSPIRATIONS, AS WELL AS A… We would like to show you a description here but the site won’t allow us. Have versions still in training internally at over 400b parameters. 6% of cases. 80 t/s won't make any difference whatsoever in usability). 400 billion parameter model at 4-bit would roughly require 200 GB to load. Nuestros modelos más grandes superan los parámetros de 400B y, aunque todavía están en fase de formación, nuestro equipo está entusiasmado con su evolución. March 17: xAI released Grok-1, a 314b MoE. LocalLLaMA join leave 173,727 readers. Manticore-13B-Chat-Pyg-Guanaco-GPTQ takes a more balanced position on 'complex' issues, actually presenting arguments from opposing sides instead of just avoiding We would like to show you a description here but the site won’t allow us. For anyone who wants a quick recap of the major LLMs released in the past two months, here it is, starting March 11 of this year: March 11: Cohere released Command R 35b (dense) ( Announcement blogpost ). With enhanced scalability and performance, Llama 3 can handle multi-step tasks effortlessly, while our refined post-training processes significantly lower false refusal rates, improve response alignment, and boost diversity in model answers. Please share the tokens/s with specific context sizes. L3-400B will further give some folks reason to not use GPT4 or other models. Llama 3 is now top-5 in leaderboard arena. /server -m path/to/model --host your. Besides the fact the data didn't come Meta what caught my attention was that the 4 times smaller model outperformed the original GPT-4 (supposedly 1. We are unlocking the power of large language models. The 8B & 70B models include new capabilities such as improved reasoning, and come in pre-trained and instruction tuned variants. popular-all-random-usersAskReddit-pics-funny-movies-gaming-worldnews-news-todayilearned-nottheonion-explainlikeimfive-mildlyinteresting-DIY We would like to show you a description here but the site won’t allow us. Therefore, based on the distance you've traveled and the geographical distribution of tiger species, the tiger you encountered in your tent is most likely a Siberian tiger. Trained on 15T tokens. 4096 sequence length. The 400B model could probably be brought down to 2-bit Subreddit to discuss about Llama, the large language model created by Meta AI. New Tiktoken-based tokenizer with a vocabulary of 128k tokens. 2M times, we've seen 600+ derivative models and the repo has been starred over 17K times. From Introducing Meta Llama 3: The most capable openly available LLM to date : We made several new observations on scaling behavior during the development of Llama 3. Subreddit to discuss about Llama, the large language model created by Meta AI. KoboldCPP uses GGML files, it runs on your CPU using RAM -- much slower, but getting enough RAM is much cheaper than getting enough VRAM to hold big models. " : r/LocalLLaMA. Your role is to understand user queries and respond in a helpful and accurate manner, tailored to the simplicity or complexity of the user's input. And it's still really undertrained (compared to its potential). cpp and the old MPI code has been removed. Introducing Meta Llama 3: The most capable openly available LLM to date. I'm currently testing if Nemotron 340B provides results that are good enough to make it worth it. Using a different prompt format, it's possible to uncensor Llama 2 Chat. And a different format might even improve output compared to the official format. Also mentions that future iterations of Llama 3, perhaps the 400B, will focus on multi modality. 8 trillion tokens - 3 flavours Base, Instruct, reward. Batch size ramp up with 42% MFU. Inference speed on the 4090 is negligibly slower than a single 3090 (and i say negligibly in the practical sense. And in my latest LLM Comparison/Test, I had two models (zephyr-7b-alpha and Xwin-LM-7B-V0. Sure, it uses dirty language easily. ADMIN MOD LLama3 400b matches GPT4 MMLU score and is still training . So Replicate might be cheaper for applications having long prompts and short outputs. In fact I'm done mostly but Llama 3 is surprisingly updated with . But since the P40 is way slower than the 3090, the 3090 will be Siberian tigers are found in the far eastern region of Russia, primarily in the Siberian taiga, which spans a vast area across several lines of latitude. Apr 19, 2024 · In this case, for Llama 3 8B, the model predicted the correct answer (majority class) as the top-ranked choice in 79. 05$ for Replicate). At least from an architectural/technical perspective, better models are just larger models . So it might be pushed back, but it will come out. More on the exciting impact we're seeing with Llama 3 today ️ go. Llama 3 Software Dependencies. No dropout, no bias like Llama, Gemma. Exllama is for GPTQ files, it replaces AutoGPTQ or GPTQ-for-LLaMa and runs on your graphics card using VRAM. If you can run it then you should get results on part with the best Anthropic and Openai have to offer if the benchmarks can be believed. ip. It seems the largest is just 70 billion parameters. Yes, it is absolutely censored. Meta Llama-3-8b Instruct spotted on Azuremarketplace. March 27: DataBricks released DBRX, a 132b MoE ( Announcement blogpost ). Apr 18, 2024 · Llama 3 70B beats Gemini 1. Honkai: Star Rail is an all-new strategy-RPG title in the Honkai series that takes players on a cosmic adventure across the stars. cpp Threads: 0 n_batch: 512 n-gpu-layers: 35 n_ctx: 2048 My issue with trying to run GGML through Oobabooga is, as described in this older thread, that it generates extremely slowly (0. Here's hoping it's an incredibly impressive model! I’ve tried Gemini, Claude and I keep coming back to chatgpt. I think this is a false premise. 4. Discussion We would like to show you a description here but the site won’t allow us. Members Online If your DeepSeek Coder V2 is outputting Chinese - your template is probably wrong (as are the official Ollama templates) We would like to show you a description here but the site won’t allow us. Stay ahead of the AI revolution. When considering PCIE lanes it is important to distinguish lanes that go to the CPU vs those that are bridged by the chipset. Pretrained on 15 trillion tokens. so 400b was the dataset size Technically, the dataset size is much bigger. GPT4 casually retook the lead with their last update, I noticed. Just imagine the impact this can have. NET 8. 9 vs 76. me/q08g2…. 12 tokens/s, which is even slower than the speeds I was getting back then somehow). com And considering huge models like llama 3 400b on the horizon I’m contemplating between buying a mac studio m2 192gb (or maybe waiting for the m4) or an amd epyc with about 750gb Ram. Has anyone tried using The 3090 can't access the memory on the P40, and just using the P40 as swap space would be even less efficient than using system memory. Jun 10, 2024 · I'm really excited for 400b, are there any news regarding it's expected jump to content. 2) perform better with a prompt template different from what they officially use. The llama. Additionally, I'm curious about offloading speeds for GGML/GGUF. If any of these things appear, you'll know of it in weeks, months at most. Normal layernorm unlike Llama RMS LN. Llama4 might crush everyone if the other companies don't step up. I write detailed newsletters on everything happening in the AI space. The dataset is seven times larger than Llama 2, contains four times more code, and covers over 30 languages. Wooooo - dolphin llama is what I'm looking for :). cpp server directly supports OpenAi api now, and Sillytavern has a llama. Meta isn’t open sourcing LLMs because they have a vastly more powerful closed source LLM. But since Llama 400B is still in training, the only way for the 8B and 70B models to generate images is I 100% easily expect LLaMA 3 400B to top the leaderboard. For example, while the Chinchilla-optimal amount of training compute for an 8B parameter model corresponds to ~200B tokens A few days ago, rgerganov's RPC code was merged into llama. May 15, 2024 · The recent release of OpenAI's new model hinted at a few evals of Llama 3 400B (teased but not released by Meta):. That's 24,000 x $30,000 (estimated) = $720 million in GPU hardware alone. Really impressive results out of Meta here. Hop aboard the Astral Express and experience the galaxy's infinite wonders on this journey filled with adventure and thrill. This release includes model weights and starting code for pre-trained and instruction-tuned Kress pointed out, Meta's largest language model, Llama 3, was trained on 24,000 of Nvidia's flagship H100 chips. You can generate images as well, for free, and, it seems, it is the same Llama3. Integrating Llama 3 fine-tuned agents (7B, 70B, 400B), alongside tool use, could provide a lot of alpha. Additional Llama 3 models with up to 400 billion parameters and new features such as multilingualism are under development. Their strategy is to commoditise LLMs because they are fundamentally an application company. I use it to code a important (to me) project. 5-3. Meta is not in the business of selling API access or cloud service, their GPU is for training and inference for their apps. . It cements Meta as a major player in the field. 5, 2) that can run on consumer PC. 8B and 70B. get reddit premium. Looks like Microsoft jumped the gun, the model has been removed again. here --port port -ngl gpu_layers -c context, then set the ip and port in ST. 6 trillion tokens from multiple sources, including web text, encyclopedias, books, academic papers and code. 5 from 175B to 20B, I also feel pretty confident that 400B is larger than GPT-4 turbo and probably several times as many active parameters since it is a dense 400B model… to say nothing of the size of GPT-4o, which is probably even smaller than turbo and even fewer active parameters. g. Reply reply satyaloka93 We would like to show you a description here but the site won’t allow us. Today at 9:00am PST (UTC-7) for the official release. 400B feels like an extremely brute force The researchers developed InternLM, a multilingual language model with 104 billion parameters. Reka Edge (the 7b one) does poorly relative to the large models. cpp option in the backend dropdown menu. Apr 21, 2024 · Llama3 400B is already very close to the strongest versions of GPT4 and Claude3, and it’s still being trained. The 400b model looks like it's going to be the first open source option that competes/beats the current top models. I got one p40 for now but I got the funds set aside for 3 more. I know that the bandwidth of the Epyc is “only” 460 GB/s but thats still kinda fast and considering that the amd system would probably cost equal but have Subreddit to discuss about Llama, the large language model created by Meta AI. Model loader: llama. Created an internal evaluation that was never given to the modeling team in order to avoid overfitting. Thiis Llama model is just flat out better than GPT 3. Llama 3 is out of competition. Disappointing if true: "Meta plans to not open the weights for its 400B model. 5, but for natural language I feel that it’s pretty close to 3. In August, a credible rumor from an OpenAI researcher claimed that Meta talked about having the compute to train Llama Apr 18, 2024 · Llama 3 has been pre-trained on over 15 trillion tokens from publicly available sources. edit subscriptions. 60 t/s vs. If your post is a screenshot of a ChatGPT conversation, please reply to this message with the conversation link or prompt. It’s not 100% confirmed that it’s using the same dataset nor confirmed that it’ll be released openly. RMS Layernorm removes the bias and does not do mean removal. The multimodal performance is interesting though. They just stopped LLaMA 3 training, because they wanted to test LLaMA 4 not because it wasn't learning anymore. The only thing that will stop them is regulation. Apr 18, 2024 · Los modelos Llama 3 8B y 70B marcan el comienzo de lo que tenemos previsto lanzar para Llama 3. They developed a new high-quality human evaluation set that contains 1,800 prompts that cover Jun 17, 2024 · Llama 3 is also planning to provide a multimodal model for the upcoming Llama 3 400B. However, Linux is preferred for large-scale operations due to its robustness and stability in handling intensive processes. Llama 2 7B is priced at 0. Will you be running a quantized At At Meta on Threads: It's been exactly one week since we released Meta Llama 3, in that time the models have been downloaded over 1. Meta won't be pleased. May 13, 2024 · The Meta AI team released Llama 3 on April 18th – according to them, “the most capable openly available LLM to date”. Lit. Y hay mucho más por venir. On top of that, it takes several minutes before it even Llama3 400B hit Claude 3 Opus scores and is still training. 5 subscribers in the Morningstar_ community. For some reason I thanked it for its outstanding work and it started asking me We would like to show you a description here but the site won’t allow us. There's no press release or blog post accompanying it. ky yw il kt da uo xd xq sn kr