Llama 3 70b requirements mac. Find your PAT in your security settings.

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. Llama 3 70B has joined the ranks of top-tier AI models, comprehensively outperforming Claude 3 Large and trading blows with Gemini 1. Based on Llama 2: Code Llama 70B is a specialized version of Llama 2, one of the largest LLMs in the world, with 175 billion parameters Apr 21, 2024 · In all metrics except GPQA (0-shot), the Instruct model of Llama 3 (70B) outperforms Gemini Pro 1. Then, import and initialize the API Client. Reply reply. It allows an ordinary 8GB MacBook to run top-tier 70B (billion parameter) models! **And this is without any need for quantization, pruning, or model distillation compression. Llama 2 is released by Meta Platforms, Inc. May 7, 2024 · Llama 3 70B: A Powerful Foundation. Open the terminal and run ollama run llama2. In addition to running on Intel data center platforms We would like to show you a description here but the site won’t allow us. S There are different methods that you can follow: Method 1: Clone this repository and build locally, see how to build. 5 and Claud 3 Sonnet. model import Model. Some key technical details of Code Llama 70B include: Large context window: Code Llama 70B has a larger context window of 100,000 tokens, enabling it to process and generate longer and more complex code[1]. P. Llama 3 represents a large improvement over Llama 2 and other openly available models: Trained on a dataset seven times larger than Llama 2. It generally sounds like they’re going for an iterative release. A high-throughput and memory-efficient inference and serving engine for LLMs - vllm-project/vllm Apr 20, 2024 · Running Llama3 Locally. Additionally, it drastically elevates capabilities like reasoning, code generation, and instruction Load the GPT: Navigate to the provided GPT link and load it with your task description. Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. # Define your model to import. The tuned versions use supervised fine-tuning Apr 18, 2024 · The most capable model. Apr 18, 2024 · Llama 3 family of models Llama 3 comes in two sizes — 8B and 70B parameters — in pre-trained and instruction tuned variants. Code Llama has been released with the same permissive community license as Llama 2 and is May 21, 2024 · Looking ahead, Llama 3’s open-source design encourages innovation and accessibility, opening the door for a time when advanced language models will be accessible to developers everywhere. Local Llama 3 70b Instruct with llamafile. Apr 19, 2024 · Click the “Download” button on the Llama 3 – 8B Instruct card. To download the weights, visit the meta-llama repo containing the model you’d like to use. Open the Mac terminal and give the file necessary authority by executing the command: chmod +x . The model could fit into 2 consumer GPUs. It is a Q3_K_S model so the 2nd smallest for 70B in GGUF format, but still it's a 70B model. 4x smaller than the original version, 21. Fine-Tune: Explain to the GPT the problem you want to solve using LLaMA 3. Platforms Supported: MacOS, Ubuntu, Windows (preview) Ollama is one of the easiest ways for you to run Llama 3 locally. I recommend using a virtual environment such as mamba miniforge to keep your dependencies isolated. This command will download and load the Llama 3 70b model, which is a large language model with 70 billion parameters. The first step is to install Ollama. Meta Code Llama 70B has a different prompt template compared to 34B, 13B and 7B. Model Architecture Llama 2 is an auto-regressive language model that uses an optimized transformer architecture. Full parameter fine-tuning is a method that fine-tunes all the parameters of all the layers of the pre-trained model. I run llama2-70b-guanaco-qlora-ggml at q6_K on my setup (r9 7950x, 4090 24gb, 96gb ram) and get about ~1 t/s with some variance, usually a touch slower. zip file to your ~/Downloads folder. Macs with 32GB of memory can run 70B models with the GPU. “Documentation” means the specifications, manuals and documentation accompanying Meta Llama 3 distributed by 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. This release includes model weights and starting code for pre-trained and instruction-tuned Llama 3 language models — including sizes of 8B to 70B parameters. Here we go. The open model combined with NVIDIA accelerated computing equips developers, researchers and businesses to innovate responsibly across a wide variety of applications. The tuned versions use supervised fine-tuning If you want to run Q5_K_M or or Q8_0 the best choice is probably Mac Studio. 1 point by parthi2929 58 minutes ago | hide | past | favorite | discuss. 70b models generally require at least 64GB of RAM Apr 18, 2024 · NVIDIA today announced optimizations across all its platforms to accelerate Meta Llama 3, the latest generation of the large language model ( LLM ). Download and install Ollama. To download the model without running it, use ollama pull wizardlm:70b-llama2-q4_0. Numbers are 0-shot by default. Here we will load the Meta-Llama-3 model using the MLX framework, which is tailored for Apple’s silicon architecture. The 7B, 13B and 70B base and instruct models have also been trained with fill-in-the-middle (FIM) capability, allowing them to To allow easy access to Meta Llama models, we are providing them on Hugging Face, where you can download the models in both transformers and native Llama 3 formats. Apr 18, 2024 · Variations Llama 3 comes in two sizes — 8B and 70B parameters — in pre-trained and instruction tuned variants. CLI. Jul 18, 2023 · Readme. With GPTQ quantization, we can further reduce the precision to 3-bit without losing much in the performance of the model. 8b parameter version and 70b parameter version. Deployment: Once fine-tuning is complete, you can deploy the model with a click of a button. Last name. Instructions. 7. Select “Accept New System Prompt” when prompted. Gracias a las mejoras en el pre-entrenamiento y el post-entrenamiento, nuestros modelos pre-entrenados y ajustados a las instrucciones son los mejores en la actualidad a Apr 18, 2024 · Variations Llama 3 comes in two sizes — 8B and 70B parameters — in pre-trained and instruction tuned variants. How to run Llama2 (13B/70B) on Mac. If you use AdaFactor, then you need 4 bytes per parameter, or 28 GB of GPU memory. sh. The answer is YES. Key Takeaways. Apr 23, 2024 · To test the Meta Llama 3 models in the Amazon Bedrock console, choose Text or Chat under Playgrounds in the left menu pane. The strongest open source LLM model Llama3 has been released, some followers have asked if AirLLM can support running Llama3 70B locally with 4GB of VRAM. export CLARIFAI_PAT={your personal access token} from clarifai. Model ArchitectureLlama 3 is an auto-regressive language model that uses an optimized transformer architecture. You could of course deploy LLaMA 3 on a CPU but the latency would be too high for a real-life production use case. client. Text in to text out only on the models (currently). Q4_0. Using Ollama Supported Platforms: MacOS, Ubuntu, Windows (Preview) Steps: Download Ollama from the Open the terminal and run ollama run wizardlm:70b-llama2-q4_0; Note: The ollama run command performs an ollama pull if the model is not already downloaded. Token counts refer to pretraining data Sep 28, 2023 · A high-end consumer GPU, such as the NVIDIA RTX 3090 or 4090, has 24 GB of VRAM. Apr 24, 2024 · Therefore, consider this post a dual-purpose evaluation: firstly, an in-depth assessment of Llama 3 Instruct's capabilities, and secondly, a comprehensive comparison of its HF, GGUF, and EXL2 formats across various quantization levels. Apr 18, 2024 · Model developers Meta. Below are three effective methods to install and run Llama 3, each catering to different user needs and technical expertise. . The 8B version, on the other hand, is a ChatGPT-3. Input Models input text only. VariationsLlama 3 comes in two sizes — 8B and 70B parameters — in pre-trained and instruction tuned variants. Pretrained on 15 trillion tokens. Paid access via other API providers. shfile and store it on your Mac. 9 GB might still be a bit too much to make fine-tuning possible on a Jul 19, 2023 · meta-llama/Llama-2-70b-chat-hf 迅雷网盘 Meta官方在2023年8月24日发布了Code Llama，基于代码数据对Llama2进行了微调，提供三个不同功能的版本：基础模型（Code Llama）、Python专用模型（Code Llama - Python）和指令跟随模型（Code Llama - Instruct），包含7B、13B、34B三种不同参数规模。 Apr 18, 2024 · Nuestros nuevos modelos Llama 3 de parámetros 8B y 70B suponen un gran salto con respecto a Llama 2 y establecen un nuevo estado del arte para los modelos LLM a esas escalas. Simply download the application here, and run one the following command in your CLI. The increased model size allows for a more For larger models like the 70B, several terabytes of SSD storage are recommended to ensure quick data access. Find your PAT in your security settings. In this video, I take you through a detailed tutorial on the recent update to the FineTune LLMs repo. Each of these models is trained with 500B tokens of code and code-related data, apart from 70B, which is trained on 1T tokens. For example, we will use the Meta-Llama-3-8B-Instruct model for this demo. May 4, 2024 · Here’s a high-level overview of how AirLLM facilitates the execution of the LLaMa 3 70B model on a 4GB GPU using layered inference: Model Loading: The first step involves loading the LLaMa 3 70B Apr 18, 2024 · Accelerate Meta* Llama 3 with Intel AI Solutions. This model was contributed by zphang with contributions from BlackSamorez. Apr 18, 2024 · Model developersMeta. Apr 18, 2024 · Llama 3 is a large language AI model comprising a collection of models capable of generating text and code in response to prompts. It starts with a Source: system tag—which can have an empty body—and continues with alternating user or assistant values. Llama 2 Chat models are fine-tuned on over 1 million human annotations, and are made for chat. Once Ollama is installed, open your terminal or command prompt and run the following command: ollama run llama3:70b. We would like to show you a description here but the site won’t allow us. In general, it can achieve the best performance but it is also the most resource-intensive and time consuming: it requires most GPU resources and takes the longest. 5 GB for 10 points of accuracy on MMLU is a good trade-off in my opinion. PEFT, or Parameter Efficient Fine Tuning, allows May 13, 2024 · This is still 10 points of accuracy more than Llama 3 8B while Llama 3 70B 2-bit is only 5 GB larger than Llama 3 8B. However, Linux is preferred for large-scale operations due to its robustness and stability in handling intensive Apr 25, 2024 · 文章介绍了开源大语言模型Llama 3 70B的能力达到了新的高度，可与顶级模型相媲美，并超过了某些GPT-4模型。文章强调了Llama 3的普及性，任何人都可以在本地部署，进行各种实验和研究。文章还提供了在本地PC上运行70B模型所需的资源信息，并展示了模型加载前后系统硬件占用情况的对比。最后，文 Meta has unveiled its cutting-edge LLAMA3 language model, touted as "the most powerful open-source large model to date. So if your Mac is powerful (with enough space as well), feel free to use the 70B version(the May 3, 2024 · Section 1: Loading the Meta-Llama-3 Model. 9 Llama 3 8B, Llama 3 Smaug 8B, Llama 3 8B based OpenBioLLM-8B, and Hermes 2 Pro - Llama-3 8B, on both iOS and macOS. Effective today, we have validated our AI product portfolio on the first Llama 3 8B and 70B models. After you download Ollama you will need to run the setup wizard: Step 3. To accurately assess model performance on benchmarks, Meta developed a new high-quality human evaluation dataset containing 1,800 prompts covering 12 key use cases: Use Case. Llama 3 Software Requirements Operating Systems: Llama 3 is compatible with both Linux and Windows operating systems. Note that Metal can access only ~155GB of the total 192GB ( more info ). This tutorial covers the process of fine-tuning Llama 7 Apr 23, 2024 · LLaMA 3 8B requires around 16GB of disk space and 20GB of VRAM (GPU memory) in FP16. META LLAMA 3 COMMUNITY LICENSE AGREEMENT Meta Llama 3 Version Release Date: April 18, 2024 “Agreement” means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein. Step 2. Apr 21, 2024 · You can run the Llama 3-70B Model API using Clarifai’s Python SDK. This model is trained on 2 trillion tokens, and by default supports a context length of 4096. 8 version of AirLLM. Mar 27, 2024 · Introducing Llama 2 70B in MLPerf Inference v4. I've recently demonstrated Q8 LLaMAv2 70B running on M2 Ultra 192GB at about ~8 t/s with Metal inference. Double the context length of 8K from Llama 2. Apr 18, 2024 · Meta Llama 3, a family of models developed by Meta Inc. cpp via brew, flox or nix. Here is how you can load the model: from mlx_lm import load. Please note that Ollama provides Meta Llama Feb 2, 2024 · LLaMA-65B and 70B. llamafile then I get 14 tok/sec (prompt eval is 82 tok/sec) thanks to the Metal GPU. I will name my folder “llama2”. 5 bytes). Explore the Zhihu column for insightful articles and personal expressions on various topics. Export your PAT as an environment variable. 5. Mar 21, 2023 · In case you use regular AdamW, then you need 8 bytes per parameter (as it not only stores the parameters, but also their gradients and second order gradients). Apr 22, 2024 · Here are several ways you can use it to access Llama 3, both hosted versions and running locally on your own hardware. For the MLPerf Inference v4. This release includes model weights and starting code for pre-trained and fine-tuned Llama language models — ranging from 7B to 70B parameters. Setup Ollama. Generally, the more parameters an AI model has, the better the outputs. This model is designed for general code synthesis and understanding. The code of the implementation in Hugging Face is based on GPT-NeoX Apr 18, 2024 · The Llama 3 release introduces 4 new open LLM models by Meta based on the Llama 2 architecture. All the variants can be run on various types of consumer hardware and have a context length of 8K tokens. This is the repository for the base 70B version in the Hugging Face Transformers format. Sep 8, 2023 · Step 1: Create a new folder on your desktop specifically for this project. tail-recursion. Apr 19, 2024 · Option 1: Use Ollama. Less than 1 ⁄ 3 of the false “refusals Download Llama. Apr 29, 2024 · This powerful tool allows you to run Llama 2 with a web interface, making it accessible from anywhere and on any operating system including Linux, Windows, and Mac. By choosing View API request, you can also access the model using code examples in the AWS Command Line Apr 18, 2024 · Variations Llama 3 comes in two sizes — 8B and 70B parameters — in pre-trained and instruction tuned variants. Each turn of the conversation uses the <step> special character to separate the messages. Day. To run Llama2(13B/70B) on your Mac, you can follow the steps outlined below: Download Llama2: Get the download. If you are using an AMD Ryzen™ AI based AI PC, start chatting! We would like to show you a description here but the site won’t allow us. Llama-3-Taiwan-70B is a large language model finetuned for Traditional Mandarin and English users. If we quantize Llama 2 70B to 4-bit precision, we still need 35 GB of memory (70 billion * 0. Step 4. The system will recommend a dataset and handle the fine-tuning. /download. The 70B version is yielding performance close to the top proprietary models. 3GB: ollama run phi3: Phi 3 Apr 21, 2024 · Run the strongest open-source LLM model: Llama3 70B with just a single 4GB GPU! Community Article Published April 21, 2024. However, Gemini Pro 1. Meta-Llama-3-8b: Base 8B model. InputModels input text only. May 13, 2024 · LLaMa 3 vs. Quickstart Llama deployments and basic interactions with Llama; Llama on your Mac and ask Llama general questions; Llama on Google Colab; Llama on Cloud and ask Llama questions about unstructured data in a PDF; Llama on-prem with vLLM and TGI; Llama chatbot with RAG (Retrieval Augmented Generation) Azure Llama 2 API (Model-as-a-Service) Apr 18, 2024 · There are two varieties of Llama 3 available: Llama 3 8B, which has 8 billion parameters, and Llama 3 70B, which has 70 billion. First, for the GPTQ version, you'll want a decent GPU with at least 6GB VRAM. 0. With the larger Llama 3 70B model now available for local and offline use, users can Apr 20, 2024 · 70B（8bit）のMLXモデルのアップロード者です！記事で触れていただき嬉しいです！ 追記されている70B（4bit）の更新について、更新版を今触っているのですが、少なくとも日本語については8B版のほうがマシな出力をしており、安定したLLMって難しいなと思う次第です。 Apr 18, 2024 · Meta Llama 3, a family of models developed by Meta Inc. Next, we will make sure that we can test run Meta Llama 3 models on Ollama. Method 4: Download pre-built binary from releases. After careful evaluation and Downloading and Running Llama 3 70b. To run Meta Llama 3 8B, basically run command below: (4. 1. LLaMa 3, with its advanced 8B and 70B… Nov 14, 2023 · If the 7B CodeLlama-13B-GPTQ model is what you're after, you gotta think about hardware in two ways. So any model that is smaller than ~140GB should work OK for most use cases. Model Architecture Llama 3 is an auto-regressive language model that uses an optimized transformer architecture. Output Models generate text and code only. Hence, for a 7B model you would need 8 bytes per parameter * 7 billion parameters = 56 GB of GPU memory. decoder only architecture. Memory requirements. It cost me $8000 with the monitor. It takes about 80GB of your unified memory. 5 Pro. Llama 2 is now accessible to individuals, creators, researchers, and businesses of all sizes so that they can experiment, innovate, and scale their ideas responsibly. Nonetheless, while Llama 3 70B 2-bit is 6. 4/18/2024. I think htop shows ~56gb of system ram used as well as about ~18-20gb vram for offloaded layers. The task force examined several potential candidates for inclusion: GPT-175B, Falcon-40B, Falcon-180B, BLOOMZ, and Llama 2 70B. Apr 22, 2024 · Hello,what else can I do to make the AI respond faster because currently everything is working but a bit on the slow side with an Nvidia GeForce RTX 4090 and i9-14900k with 64 GB of RAM. Llama 3 instruction-tuned models are fine-tuned and optimized for dialogue/chat use cases and outperform many of the available open-source chat models on common benchmarks. Download May 8, 2024 · In addition to the Llama 3 70B model, Private LLM offers several fine-tuned versions of the smaller Llama 3 8B model, such as Dolphin 2. For our demo, we will choose macOS, and select “Download for macOS”. Meta has unveiled the Llama 3 family of models containing four models, 8B, and 70B pre-trained and instruction-tuned models. Then choose Select model and select Meta as the category and Llama 8B Instruct or Llama 3 70B Instruct as the model. are new state-of-the-art , available in both 8B and 70B parameter sizes (pre-trained or instruction-tuned). OutputModels generate text and code only. 7 GB) ollama run llama3:8b Apr 18, 2024 · Variations Llama 3 comes in two sizes — 8B and 70B parameters — in pre-trained and instruction tuned variants. Apr 20, 2024 · Running Llama 3 locally on your PC or Mac has become more accessible thanks to various tools that leverage this powerful language model's open-source capabilities. ollama run llama3. If I run Meta-Llama-3-70B-Instruct. Plans to release multimodal versions of llama 3 later Plans to release larger context windows later. Select Llama 3 from the drop down list in the top center. Date of birth: Month. Encodes language much more efficiently using a larger token vocabulary with 128K tokens. The last turn of the conversation We would like to show you a description here but the site won’t allow us. Method 3: Use a Docker image, see documentation for Docker. Method 2: If you are using MacOS or Linux, you can install llama. Apr 28, 2024 · Setting Up the Environment: Make sure you have Python installed on your MacBook Air. In total, I have rigorously tested 20 individual model versions, working on this almost non-stop since Llama 3 Jan 30, 2024 · Code Llama is a family of state-of-the-art, open-access versions of Llama 2 specialized on code tasks. Variations Llama 3 comes in two sizes — 8B and 70B parameters — in pre-trained and instruction tuned variants. " Comprising two variants – an 8B parameter model and a larger 70B parameter model – LLAMA3 represents a significant leap forward in the field of large language models, pushing the boundaries of performance, scalability, and capabilities. Subreddit to discuss about Llama, the large language model created by Meta AI. Then clone the Llama2 repository in this folder on your Mac by simply opening your Dec 28, 2023 · Inside the MacBook, there is a highly capable GPU, and its architecture is especially suited for running AI models. CPU for LLaMA Apr 19, 2024 · Now depending on your Mac resource you can run basic Meta Llama 3 8B or Meta Llama 3 70B but keep in your mind, you need enough memory to run those LLM models in your local. Request access to Meta Llama. Here is my server. But the greatest thing is that the weights of these models are open, meaning you could run them locally! Code Llama. The GTX 1660 or 2060, AMD 5700 XT, or RTX 3050 or 3060 would all work nicely. We also uploaded pre-quantized 4bit models for 4x faster downloading to our Hugging Face page which includes Llama-3 70b Instruct and Base in 4bit form. But for the GGML / GGUF format, it's more about having enough RAM. LLaMA-65B and 70B performs optimally when paired with a GPU that has a minimum of 40GB VRAM. Code Llama is available in four sizes with 7B, 13B, 34B, and 70B parameters respectively. I tested Meta Llama 3 70B with a M1 Max 64 GB RAM and performance was pretty good. Variations Llama 2 comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations. 4. With its 70 billion parameters, Llama 3 70B promises to build upon the successes of its predecessors, like Llama 2. When evaluating the price-to-performance ratio, the best Mac for local LLM inference is the 2022 Apple Mac Studio equipped with the M1 Ultra chip – featuring 48 GPU cores, 64 GB or 96 GB of RAM with an impressive 800 GB/s bandwidth. This will download the Llama 3 8B instruct model. The tuned versions use supervised fine Model Parameters Size Download; Llama 3: 8B: 4. Llama 3 uses a tokenizer with a Sep 5, 2023 · Maintainer. First name. It has strong capabilities in language understanding, generation, reasoning, and multi-turn dialogue. Mistral 7B: A Head-to-Head AI Showdown In artificial intelligence, two standout models are making waves: Meta’s LLaMa 3 and Mistral 7B. Key features include: Checkout Open TW LLM Leaderboard for full and updated list. Links to other models can be found in Dec 30, 2023 · First let me tell you what is the best Mac model with Apple Silicone for running large language models locally. We release all our models to the research community. As a close partner of Meta* on Llama 2, we are excited to support the launch of Meta Llama 3, the next generation of Llama models. Step 1. 5 level model. It turns out that's 70B. 6. I recently got a 32GB M1 Mac Studio. These GPUs provide the VRAM capacity to handle LLaMA-65B and Llama-2 70B weights. Output Models generate text only. 8B: 2. Run llama 3. Developed by GitHub user liltom-eth, llama2-webui supports all Llama 2 models and offers a range of features that make it a versatile choice for both beginners and experts. 0 round, the working group decided to revisit the “larger” LLM task and spawned a new task force. What would be system requirement to comfortably run Llama 3 with decent 20 to 30 tokes per second at least? RAM, GPU, CPU We uploaded a Colab notebook to finetune Llama-3 8B on a free Tesla T4: Llama-3 8b Notebook. Llama-3-8B-Instruct locally with llm-gpt4all. Suitable examples of GPUs for this model include the A100 40GB, 2x3090, 2x4090, A40, RTX A6000, or 8000. I have an Apple M2 Ultra w/ 24‑core CPU, 60‑core GPU, 128GB RAM. On a Mac, (at the time of this writing) this will download a *. log. MLX enhances performance and efficiency on Mac devices. They come in two sizes: 8B and 70B parameters, each with base (pre-trained) and instruct-tuned versions. January. I was excited to see how big of a model it could run. I was able to download the model ollama run llama3:70b-instruct fairly quickly at a speed of 30 MB per second. Fine-tuning. Someone from our community tested LoRA fine-tuning of bf16 Llama 3 8B and it only used 16GB of VRAM. **We have released the new 2. Apr 20, 2024 · There's no doubt that the Llama 3 series models are the hottest models this week. Once downloaded, click the chat icon on the left side of the screen. 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. Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. I am newbie to AI, want to run local LLMs, greedy to try LLama 3, but my old laptop is 8 GB RAM, I think in built Intel GPU. lyogavin Gavin Li. 5 achieves better results in GPQA (0-shot). Fast API access via Groq. Maybe look into the Upstage 30b Llama model which ranks higher than Llama 2 70b on the leaderboard and you should be able to run it on one 3090, I can run it on my M1 Max 64GB very fast. May 28, 2024 · I use Meta-Llama-3-8B-Instruct model as the example, but deploying other LLaMA 3 models is similar. Depends on what you want for speed, I suppose. 7GB: ollama run llama3: Llama 3: 70B: 40GB: ollama run llama3:70b: Phi 3 Mini: 3. As for LLaMA 3 70B, it requires around 140GB of disk space and 160GB of VRAM in FP16. To do that, visit their website, where you can choose your platform, and click on “Download” to download Ollama. January February March April May June July August September October November December. bt ll iq ww de zw ah ya lv jh