Llama weights download reddit

Llama weights download reddit. git pull (s) The quant_cuda-0. Jul 18, 2023 · Request access to Llama. This contains the weights for the LLaMA-13b model. - Nous-Hermes-2-Yi-34B (on huggingface) I have a 6GB Graphic card Nvidia 1650Ti local setup, would these model run well if I use Ollama/lm-studio and llamafile for Last night I tried pulling part of LlaMa in by renaming the file for the token embedding weights and replacing that file in SD1. It resumes downloads in case of disconnection. Buy, sell, and trade CS:GO items. Introducing codeCherryPop - a qlora fine-tuned 7B llama2 with 122k coding instructions and it's extremely coherent in conversations as well as coding. Yes, you need software that allows you to edit (fine-tune) LLM, just like you need “special” software to edit JPG, PDF, DOC. I would like to quantize to 4-bit using GPTQ for Llama. . I am running Llama-65b-4bit locally on Threadripper 3970x, Aorus TRX40 Extreme, 256gb DDR4, 2x Asus 3090 in O11D XL, 4x nvme SSD in Raid0, 1600w Corsair AXi psu. Interestingly enough, by merging base-model LoRA weights trained on a simple autoregressive objective into the Chat model, the limited knowledge and style I just had to restart my download-script, so took advantage of the break to shove Command-R to the front of the queue. We introduce Vicuna-13B, an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. With the most up-to-date weights, you will not need any additional files. Google DeepMind unveiled SIMA (Scalable Instructable Multiworld Agent), an AI agent training to play video games. I hope to run the inference test tomorrow. We're unlocking the power of these large language models. You can fine-tune quantized models (QLoRA), but as far as I know, it can be done only on GPU. For example, 4. You should only use this repository if you have been granted access to the model by filling out this form but either lost your copy of the weights or got some trouble converting them to the Transformers format. Download the weights via any of the links in "Get started" above, and save the file as ggml-alpaca-7b-q4. 7 billion parameters, Phi-2 surpasses the performance of Mistral and Llama-2 models at 7B and 13B parameters on various aggregated benchmarks. 164 upvotes 34 comments. We plan to release the model weights by providing a version of delta weights that build on the original LLaMA weights, but we are still figuring out a proper way to do so. There are reasons not to use mmap in specific cases, but it’s a good starting point for seekable files. When you have a ggml file and you don't know where to run it, you need to establish the architecture that the model was built on. There is mention of this on the Oobabooga github repo, and where to get new 4-bit models from. So I will figure out how to "sub sample" larger tensors. Some worry the technology will be used for harm; others say greater access will improve AI Need Mistral weights for local testing. bin. 5. (2023), using an optimized auto-regressive transformer, but made several changes to improve performance. Instructions for deployment on your own system can be found here: LLaMA Int8 ChatBot Guide v2 (rentry. json, pytorch_model. In command prompt: python server. Probably the easiest options are text-generation-webui, Axolotl, and Unsloth. Specifically, we performed more robust data cleaning, updated our data mixes, trained on 40% more total tokens, doubled the July 18, 2023 - Palo Alto, California. Shop Collectible Avatars. You should only use this repository if you have been granted access to the model by filling out this form but either lost your copy of the weights or got some trouble converting Install Ooba textgen + llama. cpp . To train our model, we chose text from the 20 languages with the most speakers Scan this QR code to download the app now EPFL releases an open Medical Llama 2 finetune, including weights and training data, within 5%/10% of GPT-4/Med-PaLM-2 I have been playing around with LoRA as a way to get knowledge into Llama-2-7B, with some limited success. bin, index. If, on the Llama 2 version release date, the monthly active users of the products or services made available by or for Licensee, or Licensee’s affiliates, is greater than 700 million monthly active users in the preceding calendar month, you must request a license from Meta, which Meta may grant to you in its sole discretion, and you Mar 7, 2023 · Where can I get the original LLaMA model weights? Easy, just fill out this official form, give them very clear reasoning why you should be granted a temporary (Identifiable) download link, and hope that you don't get ghosted. Get app Log InLog in to Reddit. co/TheBloke. " Someone on HN posted this timeline: 24th February 2023: LLaMA is announced, starts being shared with academic partners In our first release, we will share the training, serving, and evaluation code. MiniGPT-4 uses a pretrained ViT and Q-Former as its vision encoder, while LLaVA uses a pretrained CLIP ViT-L/14 as Dec 11, 2023 · To download Llama 2, the next-generation open source language model, you can follow these simple steps: Visit the official Meta website where Llama 2 is made available for download. They can be used for fine tuning / training. --model_type llama if the model name is unknown, specify it's base model. The links for the updated 4-bit models are listed below in the models directory section. real 98m12. This model was contributed by zphang with contributions from BlackSamorez. 👉 In light of developments such as copyright issues with Stable Diffusion and the misuse of deepfakes, it appears that the much-vaunted "safe deployment" of AI is more of a pipe dream. The code of the implementation in Hugging Face is based on GPT-NeoX Step 2 - Get the models (full precision) You will need the full-precision model weights for the merge process. Expand user menu Open settings menu. 10 CH32V003 microcontroller chips to the pan-European supercomputing initiative, with 64 core 2 GHz workstations in between. 0 bpw will give store weights in 4-bit precision. It seems that the leak originated from 4chan [1]. A LoRA is a Low-Rank Adaptation, a set of weight deltas that can apply a fine-tuning modification to an existing model. Now those links are probably coming. • 1 yr. Visit the Meta website to request access, then accept the license and acceptable use policy before accessing these models. Two people in the same thread had access to the weights and verified that their hashes match [2] [3] to make sure that the model isn't watermarked. Or you could just use the torrent, like the rest of us. py --n-gpu-layers 30 --model wizardLM-13B-Uncensored. See the research paper for details. 76. It was quite slow around 1000-1400ms per TL;DR: we are releasing our public preview of OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA. We provide PyTorch and JAX weights of pre-trained OpenLLaMA models, as well as evaluation results and comparison against the original LLaMA models. If you will use 7B 4-bit, download without group-size. Mar 5, 2023 · This repository contains a high-speed download of LLaMA, Facebook's 65B parameter model that was recently made available via torrent. Select the files you want to download, and right-click/Start downloads. ". I spent half a day conducting a benchmark test of the 65B model on some of the most powerful GPUs aviailable to individuals. Pygmalion has released the new Pygmalion 13B and Metharme 13B! These are LLaMA based models for chat and instruction. We have a broad range of supporters around the world who believe in our open approach to today’s AI — companies that have LLaMa 65B GPU benchmarks. cpp source with git, build it with make and downloaded GGUF-Files of the models. Installation instructions updated on March 30th, 2023. This was originally done to make really tiny quants useful, yet it can also be applied to the existing larger quantization types. llama. Mar 8, 2023 · Meta’s LLaMA model was created to help researchers but leaked on 4chan a week after it was announced. Subreddit to discuss about Llama, the large language model created by Meta AI. I was able to achieve some style transfer, but the model still tends to hallucinate. 4bit you can run on two 3090s. Download the 4-bit model of your choice and place it directly into your models folder. In my quick tests, both the 7b and the 13b Business-Lead2679. cpp should make GPTQ or something such the native format and ignore everything else, and try to make 2-, 3- and 4-bit inferring all work at memory bandwidth speeds. takes about 42gig of RAM to run via Llama. \Release\ chat. In the terminal window, run this command: . One quirk of sentencepiece is that when decoding a sequence, if the first token is the start of the word (e. Our smallest model, LLaMA 7B, is trained on one trillion tokens. We are releasing a series of 3B, 7B and 13B models trained on 1T tokens. Join our Discord server and follow our Twitter to get the latest updates. This contains the weights for the LLaMA-65b model. Prompt Engineering with Llama 2. Like other large language models, LLaMA works by taking a sequence of words as an input and predicts a next word to recursively generate text. org) The 7B paramenter model has a VRAM requirement of 10GB, meaning it can even be run on an RTX3060! The 13B model has a requirement of 20GB, 30B needs 40GB, and 65B needs 80GB. Remember to change llama-7b to whatever model you are Run the following commands one by one: cmake . But, it ends up in a weird licensing state where the LLaMA portion isn't commercially permissive, but the Vicuna portion is. 10. It's smaller in file size than a full set of weights because it's stored as two low-rank matrices that get multiplied together to generate the weight deltas. Empowering developers, advancing safety, and building an open ecosystem. Differences: MiniGPT-4 uses Vicuna as its LLM, while LLaVA uses LLaMA as its LLM. We release all our models to the research community. The combined weights are around 202 GB, however LLaMA actually comes in multiple sizes, where the smallest model is 7B and the largest one is 65B. Use in Transformers. Download not the original LLaMA weights, but the HuggingFace converted weights. For those of you who are running on a CPU or other The only comparison against GPT 3. Which leads me to a second, unrelated point, which is that by using this you are effectively not abiding by Meta's TOS, which probably makes this weird from a legal perspective, but I'll let OP clarify their stance on that. If anyone has a process for merging quantized models, I'd love to hear about it. ***Due to reddit API changes which have broken our registration system fundamental to our security model, we are unable to accept new user registrations until reddit takes satisfactory action. However, the leaker made a mistake of adding the original download script which had his unique download URL to the torrent [4], so Meta can easily I think it may have changed pre public release, there were some deleted tweets as well from yann lecun stating the weights would be fully opensource. alpaca. Figure is behind the Humanoid Robot AI powered by GPT-4. dll mod. OpenLLaMa has released it's 400B token checkpoint. We provide PyTorch and Jax weights of pre-trained OpenLLaMA models Intro. g. I used a specific prompt to ask them to generate a long story Discussion. (Discussion: Facebook LLAMA is being openly distributed via torrents) It downloads all model weights (7B, 13B, 30B, 65B) in less than two hours on a Chicago Ubuntu server. In this case, this is GPT-NeoX: This is less than a month since LLaMa was announced and less than two weeks since it was leaked. Hello, I have found the perfect model, but it is only available in 16-bit. 2. ggmlv3. Many have been granted access to Meta AI's LLAMA, while others are questioning whether access is currently limited to email domains with the '. 184. It will scan for files to download. It was trained on more tokens than previous models. Partnerships. I personally think that going to numerically 5 bits per weight is a bit of a backwards direction, even when I appreciate that the results are good 👉 However, the language model, including the weights, was leaked via the Internet forum 4Chan. With only 2. ago. So to be clear, almost all of the software for training and inferencing with llama is open source and unrestricted. e. Llama 3's probably still going to have a 7B and 13 for people to use, I'm just hoping that Zucc gives us a 34B to use. exe. Jul 18, 2023 · Although Llama 2 is openly licensed with weights available, Meta did not disclose the source of the training data used in creating the Llama 2 models, which Mozilla Senior Fellow of Trustworthy AI 🚀 Introducing ChatLLaMA: Your Personal AI Assistant Powered by LoRA! 🤖 Hey AI enthusiasts! 🌟 We're excited to announce that you can now create custom personal assistants that run directly on your GPUs! ChatGPT is free (for now) but they still collect your data and filter responses. Members Online For those who don't know what different model formats (GGUF, GPTQ, AWQ, EXL2, etc. nolimyn. 0. We’re on a journey to advance and democratize artificial intelligence through open source and open science. reply reply reply reply reply reply. Our latest version of Llama – Llama 2 – is now accessible to individuals, creators, researchers, and businesses so they can experiment, innovate, and scale their ideas responsibly. ai. We observe that model specialization is yields a boost in code generation capabilities when comparing Llama 2 to Code Llama and Code Llama to Code Llama Python. When it finishes, you can run `ipfs get` to save them to disk. Members Online This study demonstrates that adding emotional context to prompts, significantly outperforms traditional prompts across multiple tasks and models Hacker News r/LLaMA2. 236 votes, 98 comments. Below you can find and download LLama 2 specialized versions of these models, known as Llama-2-Chat, tailored for dialogue scenarios. 60. They made their weights open source. You obtain LLaMA weights, and then apply the delta weights to end up with Vicuna-13b. We are releasing a series of 3B, 7B and 13B models trained on different data mixtures. cmake -- build . Select the specific version of Llama 2 you wish to download based on your requirements. The complete list of arguments is available on this page. Test Method: I ran the latest Text-Generation-Webui on Runpod, loading Exllma, Exllma_HF, and LLaMa. Meta AI Research (FAIR) is helmed by veteran scientist, Yann LeCun, who has advocated for an open source approach to AI Code Llama pass@ scores on HumanEval and MBPP. -- config Release. 149. cpp with GPU support on Windows via WSL2. Edit model card. ) mean ↓ RISC-V (pronounced "risk-five") is a license-free, modular, extensible computer instruction set architecture (ISA). 4 for GPT Mar 7, 2023 · After the download finishes, move the folder llama-?b into the folder text-generation-webui/models. In this release, we're releasing a public preview of the 7B OpenLLaMA model that has been trained with 200 billion tokens. Nov 15, 2023 · Request access to the Llama 2 weights from Meta, Convert to ONNX, and optimize the ONNX models python llama_v2. Now you can start the webUI. Dec 21, 2023 · Answered by supportend on Dec 21, 2023. LLaMA is a Large Language Model developed by Meta AI. Then you can decide to either: - Rehost long-term by pinning it and keeping the daemon running. A llama. Vicuna is a 13-billion parameter model trained on text data only, while LLaMA is a 17-billion parameter model trained on both text and image data. whl mod. When i use the exact prompt syntax, the prompt was trained with, it worked. But running it: python server. Look for the section dedicated to Llama 2 and click on the download button. The larger the model the better it performs (13B is the one that OpenLLaMA: An Open Reproduction of LLaMA In this repo, we release a permissively licensed open source reproduction of Meta AI's LLaMA large language model. Log In / Sign Up. Vicuna is a large language model derived from LLaMA, that has been fine-tuned to the point of having 90% ChatGPT quality. The idea is to create multiple versions of LLaMA-65b, 30b, and 13b [edit: also 7b] models, each with different bit amounts (3bit or 4bit) and groupsize for quantization (128 or 32). GGUFs quants can punch above their weights now. 3). One of these days I need to teach my download-script how to accept new queues ahead/behind its current one. cpp improvement that integrates an optional importance matrix was recently added. This is a video of the new Oobabooga installation. Alas the shape of the tensors is different -- at least with Automatic1111 it's expecting a tensor of a specific shape and the LlaMa weights don't match. The 4bit peft mod that I just learned from about here! Below is an instruction that describes a task. My models folder contains: . 9% on MMLU. Openllama used a different dataset but the same settings to create openllama. The correct template gets automatically detected in the latest version of text-generation-webui (v1. Ego-Exo4D (Meta FAIR) released. 4. Click on Hugging Face "Files and versions" tab and copy the link . Hey there fellow LLaMA enthusiasts! I've been playing around with the GPTQ-for-LLaMa GitHub repo by qwopqwop200 and decided to give quantizing LLaMA models a shot. Deploy. edu' extension. *** Here is an example with the system message "Use emojis only. Preliminary evaluation using GPT-4 as a judge shows Vicuna-13B achieves more than 90%* quality of OpenAI ChatGPT huggyllama/. This model is under a non-commercial license (see the LICENSE file). Project. Closed • 282 total votes. Really going to suck being gpu poor going forward, llama3 will also probably end up being a giant model too big to run for most people. 1- /LLaMA-HF-4bit-128g - folder of downloads from the magnet link mentioned here: (Add support for the latest GPTQ models with group-size comment-1491711625) -b: Target average number of bits per weight (bpw). The model was loaded with this command: python server. py --optimize Note: The first time this script is invoked can take some time since it will need to download the Llama 2 weights from Meta. I did run 65B on my PC a few days ago (Intel 12600, 64GB DDR4, Fedora 37, 2TB NVMe SSD). RISC-V (pronounced "risk-five") is a license-free, modular, extensible computer instruction set architecture (ISA). Mar 30, 2023 · oobabooga edited this page on Mar 30, 2023 · 63 revisions. 1- can an organization use it internally for its own consumption, for example by hosting it on its own servers and letting its employees use it for their day to day work. But since there is absolutely no rush and this publication is entirely on their own timeline I really resent senseless rush to make public claims before doing the legwork I can't even download the 7B weights and the link is supposed to expire today. , coding and math. r/LocalLLaMA. Our model weights can serve as the drop in replacement of LLaMA in existing implementations. Mar 17, 2024 · Grok Weights Released. LLaMA is supposed to outperform GPT-3 and with the model weights you could technically run it locally without the need of internet. Download the model. Our global partners and supporters. com/antimatter15/alpaca. r/LocalLLaMA • 27 days ago. In particular, LLaMA-13B outperforms GPT-3 (175B) on most benchmarks, and LLaMA-65B is competitive with the best models, Chinchilla-70B and PaLM-540B. r/LocalLLaMA • 12 days ago. Yes, and I entered an email with the '. I think pygmalion as it is now would be ok to use llama from a licensing perspective; it’s just something to be aware of in case people wanted to build a commercial application on top of pygmalion. edu The software to train the model is open source, but the llama model itself (the weights) is not open source. 4K Online. (You can add other launch options like --n 8 as preferred For example, Vicuna-13b was released as Delta weights for LLaMA. GPTQ has multiple versions, and need a specific version of GPTQ to run. 4bit setup. mind blown! Yann Lecun's tweet makes it pretty clear LLaMA 3 will be open. We observe that scaling the number of parameters matters for models specialized for coding. Start. The delta-weights, necessary to reconstruct the model from LLaMA weights have now been released, and can be used to build your own Vicuna. Llama 2 70B benches a little better, but it's still behind GPT-3. (Notably, it's much worse than GPT-3. Sure, when you use a graphic card, perhaps you have to enable . json https://github. When compared against open-source chat models on various benchmarks Subreddit to discuss about Llama, the large language model created by Meta AI. the quantize step is done for each sub file individually, meaning if you can quantize the 7gig model you can quantize the rest. cpp. This poll aims to determine who has been granted access based on the email domain they provided. embedding(weight, input, padding_idx, scale_grad_by_freq, sparse) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ IndexError: index out of range in self My install is the one-click-installers-oobabooga-Windows on a 2080 ti plus: llama-13b-hf. Special_Freedom_8069. If you have StableLM ggml file, you can go to the model card for StableLM link and then find out the architecture. Further discussion: maybe llama. If it's LLaMa, run it on llama. HF is huggingface format (different from the original formatting of the llama weights from meta) - these are also in fp16, so they take up about 2GB of space per 1b parameters. copy the llama-7b or -13b folder (or whatever size you want to run) into C:\textgen\text-generation-webui\models. 102K Members. Originally designed for computer architecture research at Berkeley, RISC-V is now used in everything from $0. Make sure you have enough disk space for them because they are hefty at the 70b parameter level. StablePunFusion. Notably, it achieves better performance compared to 25x larger Llama-2-70B model on muti-step reasoning tasks, i. It'll convert the downloaded blocks to files you can use. Given Open-LLaMA is a replication of LLaMA, can those same delta This statement is the bigger problem because the link they say the weights are available at doesn't have any links to the weights or code. 2- Software vendor has built a product that can utilise LLama. Note: Your XetHub user account email address must match the email you provide on this Meta website. It's also not as efficient as llama models are so from an environment perspective its not ideal either. when trying to use the llama-fied version with transformers, and using my exllamav2 quants I see: torch. 1. true. The folder should contain the config. json, generation_config. Llama models and tools. [P] Introducing Vicuna: An open-source language model based on LLaMA 13B. Top 2% Rank by size. 4 trillion tokens. The llama weights are being posted / super close to being posted to just relax dude. cpp standalone works with cuBlas GPU support and the latest ggmlv3 models run properly. Llama 2 Accept Terms & Acceptable Use Policy. The result is that the smallest version with 7 billion parameters has similar performance to GPT-3 with 175 billion parameters. Llama 2 encompasses a range of generative text models, both pretrained and fine-tuned, with sizes from 7 billion to 70 billion parameters. 49. the main page has links to the other two smaller alpaca. LLaMA-I (65B) outperforms on MMLU existing instruction finetuned models of moderate sizes, but are still far from the state-of-the-art, that is 77. cpp for comparative testing. Powering innovation through access. 980s. py \-i base_model \-o quant \ 4Bit Quantization for a Noob. Llama 2: open source, free for research and commercial use. Large language model. Zuckerberg says they are training LLaMa 3 on 600,000 H100s. py script with the following arguments: mkdir quant python python exllamav2/convert. Meta announced the official release of their open source large language model, LLaMA 2, for both research and commercial use, marking a potential milestone in the field of generative AI. Oobabooga has been upgraded to be compatible with the latest version of GPTQ-for-LLaMa, which means your llama models will no longer work in 4-bit mode in the new version. It could be used unsupervised for any purpose. If you load OPT or GPT-J models, define the flag accordingly In this repo, we present a permissively licensed open source reproduction of Meta AI's LLaMA large language model. If you're on linux, you can mount the cid as a normal folder using FUSE and skip this step altogether. The weights for all models are open News Meta LLaMA released: LLaMA-13B outperforms OPT and GPT-3 175B on most To create the new family of Llama 2 models, we began with the pretraining approach described in Touvron et al. It is still in research only. Multimodal dataset with 1400h of video, multiple perspectives, 7ch audio, annotated by domain experts. LoRa setup. Cognition AI created Devin, hailed as the "First AI Software Engineer". The LLaMA tokenizer is a BPE model based on sentencepiece. Click on JDownloader "LinkGrabber" tab and paste links with Ctrl+v or right-click/paste links. ) The real star here is the 13B model, which out-benches even MPT-30B and comes close to Falcon-40B. Let’s start the quantization process using the convert. Searching for "llama torrent" on Google has a download link in the first GitHub hit too. Hey guys, First time sharing any personally fine-tuned model so bless me. It sells the product to an organisation (the customer) it charges the customer for its product only and NOT for So far as I can tell the GPLv3 only applies to the code to run the model but not the model itself. The libbitsandbytes_cuda116. “Banana”), the tokenizer does not prepend the prefix space to the string. I have emailed the authors and the support email without any luck. The torrent link is on top of this linked article. LLaMA has been leaked on 4chan, above is a link to the github repo. Additional Commercial Terms. Call of Duty: Warzone. What I find most frustrating is that some researchers have a huge head start while others are scrambling to even get started. 0-cp310-cp310-win_amd64. meta. Not happy with the speed, thinking of trying 4x 4090 AIO with 240mm radiator - should fit in some bigger tower cases like Corsair 1000d. By using this, you are effectively using someone else's download of the Llama 2 models. 5 on HumanEval, which is bad news for people who hoped for a strong code model. - Mistral Medium. I cloned the llama. bin in the main Alpaca directory. Good source for GGUF-files: https://huggingface. IIRC back in the day one of success factors of the GNU tools over their builtin equivalents provided by the vendor was that GNU guidelines encouraged memory mapping files instead of manually managed buffered I/O, which made them faster, more space efficient, and more reliable due to What are the storage bandwidth/latency requirements for LLaMA access to model weights? Is it feasible to store LLaMA model weights on slow storage like a 1GBE connected NAS or is faster storage like a local SSD or HDD needed to get reasonably quick results? We evaluate Wanda on the LLaMA model family, a series of Transformer language models at various parameter levels, often referred to as LLaMA-7B/13B/30B/65B. I have read through the readme on the GitHub repo and I see that I need to convert the model weights to HF before saving the model with my desired settings. This repository contains a high-speed download of LLaMA, Facebook's 65B parameter model that was recently made available via torrent. For instance, models/llama-13b-4bit-128g. cpp weight files. if you run llama derrived models like vicuna, alpaca, gpt4-x, codecapybara or wizardLM you have to define it as llama. 3. q4_0. cpp has magnet and other download links in the readme. Scan this QR code to download the app now. Where can I find the top model weights, the two I found from all the jargon that are closest to GPT4 eval is. Just how fast are things moving now? It really does look like "Large language models are having their Stable Diffusion moment. Resources. "Of course, we are committed to open research and open source AI platforms (yes, Llama-3 is coming!)" Feb 24, 2023 · We trained LLaMA 65B and LLaMA 33B on 1. With all of that, and some debate on whether weights can be copy written, hold a license, if you have the stones, you can probably use them commercially. py --cai-chat --model llama-7b --no-stream. 5 I found in the LLaMA paper was not in favor of LLaMA: Despite the simplicity of the instruction finetuning approach used here, we reach 68. Performance. Without any weight update, Wanda outperforms the established pruning approach of magnitude pruning by a large margin. I made Llama2 7B into a really useful coder. py --model models/llama-2-13b-chat-hf/ --chat --listen --verbose --load-in-8bit. aj cr ii ns ka il ef be cx tt