Orca 2 dataset download

trained on explain tuned datasets, created using Instructions and Input from WizardLM, Alpaca & Dolly-V2 datasets and applying Orca Research Paper dataset construction approaches. Not recommended for most users. 64), and a higher ROUGE-L score than Vicuna on the NIV2 Verbosity: Phi-2 being a base model often produces irrelevant or extra text and responses following its first answer to user prompts within a single turn. Dataset. ¶ 4. [UPDATE] ORCA Voice Command - STANDARD SERIES T5 Platform. Nov 29, 2023 · By downloading the dataset, you will have a local copy that you can use for training, evaluation, or any other NLP task you have in mind. Step 2: You have now Nov 21, 2023 · At its core, Orca-2-13B is a testament to Microsoft's commitment to refining the intelligence and reasoning capabilities of AI. As this release is intended as a preview, please await our full releases for further details on the training data. It contains a vision-based sub-dataset, FloW-Img, and a multimodal Jun 26, 2023 · orca_mini_3b. Kategori: 3D Car Model Software (T7 360) Baca Selengkapnya. Similar to how the Orca, a type of whale, communicates using complex and layered sounds, this dataset is layered with various USVInland is the first multi-sensor dataset for the unmanned surface vehicle in inland waterways. It is built for research purposes only and provides a single turn response in tasks such as reasoning over user given data, reading comprehension, math problem solving and text summarization. Microsoft has recently released a new research paper for its next generation Orca-2 Orca 2 models are built by Microsoft Research. The training data was generated such that it teaches Orca 2 various reasoning techniques, such as step-by-step processing, recall then generate, recall-reason-generate, extract-generate, and direct answer methods, while also teaching it to choose different solution Nov 21, 2023 · 2 Preliminaries 2. 5 million instructs in the ChatGPT dataset. Use orca-mini-3b on Free Google Colab with T4 GPU :) An OpenLLaMa-3B model model trained on explain tuned datasets, created using Instructions and Input from WizardLM, Alpaca & Dolly-V2 datasets and applying Orca Research Paper dataset construction approaches. Korean-Open-platypus 데이터셋을 활용하여 llama-2-ko를 fine-tuning한 Korean-Platypus model. 7 0 10 20 30 40 50 60 Vicuna-13B ChatGPT Orca-13B) BigBench -Hard (Zero -shot, MCQ) Figure3: Forcomplexzero-shotreasoningtasksinBigBench-Hard,Orcaachievesparity Jun 5, 2023 · Orca: Progressive Learning from Complex Explanation Traces of GPT-4. com) 4 points by npsomaratna 38 minutes ago | hide | past | favorite | discuss. make Orca 2 weights publicly available at aka. Q4_K_M. Orca-2: Teaching Small Language Models How to Reason. The term 'Orca-style' here refers to the manner in which the data used to train the model is structured and organized. We then train on 5 million ChatGPT data from Orca 1 for 3 epochs. orca_mini_v2_13b. Orca focuses on: Synthetic data creation: create tailored and high-quality synthetic data for small model training. We have generated test, train, and valid datasets of 512x512 pixel-size from the original ORCA, because the pixel-size of all images and masks of the dataset is 4500x4500, and too large to use for training of an ordinary segmentation model. Then click Download. Double-click to open the file. Oct 21, 2023 · Open-Orca/Mistral-7B-OpenOrca Text Generation • Updated Nov 18, 2023 • 21. When running ORCA an ORCA report, ORCA will look for previous reports in the same Output Directory for the same tenant. by Writings, Papers and Blogs on Text Models May 29th, 2024. Comprehensive Dataset and Progressive Nov 26, 2023 · Training Orca 2. 5-Turbo, and GPT-4, particularly focusing on its application in RAG. OpenAI’s GPT-4 was then asked to provide the solutions. 2 to 81. Nov 21, 2023 · We’re on a journey to advance and democratize artificial intelligence through open source and open science. Coming in at 7 billion and 13 billion parameters, Orca 2 demonstrates advanced reasoning abilities on par with or exceeding much larger models, even those 5-10 times its size Jan 19, 2024 · The structure generation workflow consists of the following steps: Step 1: Generate a random integer ( n) between 1 and 10. Is there a preferred way to do this? Or, is the only option to use a general purpose library like joblib or pickle? Finetune Llama 3, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory - unslothai/unsloth Nov 21, 2023 · It’s called Orca 2, and from the look of it, this could be Microsoft’s answer to the growing AI challenge. Today we are releasing a dataset that lets open source models learn to think like GPT-4! We call this Open Orca, as a tribute to the team who has released the Orca paper describing the data collection methods we have attempted to replicate in an open-source manner for the benefit of humanity. The top of the tail is brown, and the bottom is faintly striped brown. There is a brown spot on the nape. 81% on GSM8k without the need for multiple model Jun 29, 2023 · In developing this dataset, the team adhered to the submix and system prompt distribution described in the Orca paper, with some key modifications. 🐳KoR-Orca-Platypus-13B🥮: 🐳Korean-OpenOrca-13B: 🐳OpenOrca-KO: 🐳KOR-OpenOrca-Platypus: 본 연구는 (주)마커와 (주)미디어그룹사람과숲의 오픈소스 LLM 연구 컨소시엄에서 진행되었습니다. This tool is only available in the Windows SDK Components for Windows Installer Developers. Step 2: Randomly select n building blocks from the library and store Models Search Discord GitHub Download model trained on the new Dolphin 2. Notably, all 75k of CoT was incorporated into the FLAN-1m dataset, and any duplicate entries identified were removed, resulting in a refined collection of 3. Post only stuff about ai 2. is a small language model (SLM) from Microsoft with 2. Baca Selengkapnya. gguf is cool if you have the RAM), and skip steps 4-8 or you know, go through the journey of learning that are steps 4-8. 2 Training. Jun 24, 2023 · Design and Scale: Orca is a 13-billion parameter model developed by Microsoft, learning to imitate the reasoning process of Large Foundation Models (LFMs) like GPT-4. g. This model is a fine-tuned model based on mistralai/Mistral-7B-v0. We release this repo and will keep updating it with: Code for finetuning language models with latest techniques and instruction datasets in a unified format. Orca 2 models are built by Microsoft Research. Install-Module -Name ORCA -RequiredVersion 2. The new Mistral 7B variant, Orca-Math, was then trained using the responses. PDF Publication. The files contain the capture histories of the individual killer whales photo-identified at herring wintering grounds in 1988-2019, and used for fitting capture-recapture models to estimate Dec 20, 2022 · ORCA MSI Editor Standalone Download. 32 for STANDARD SERIES T5 Platform. Unlike their larger counterparts, these models have historically been limited in their reasoning abilities. 5-turbo as a teacher, which might missed the +1M data on gpt-4. These models are available in two sizes: one with 7 billion parameters and another with 13 billion parameters. Azure Automation. Our research involves self-improvement strategies, feedback-driven teaching methods between large and small models and utilizing domain specific data to specialize LMs. 42 vs 0. FloW is the first dataset for floating waste detection in inland waters. 26 in) on average and the tail is about 40 mm (1. It also significantly outperforms other smaller Oct 21, 2023 · Dataset We used a small (6%, 200k) subset of our data from OpenOrca, which aims to reproduce the Orca Research Paper dataset. ChatGPT, developed by OpenAI, is a variant of GPT-3, another LFM, but it has Dataset Card. Once download is completed, printing begins. Orca: Progressive Learning from Complex Explanation Traces of GPT-4. Our approach has the following key elements: (1) A high quality synthetic dataset of 200K math problems created using Mar 11, 2024 · Using 36,217 “sample math word problems from existing open-source datasets,” the problems were created. Phi-2 and Orca 2 are available now and other models below are coming soon. The forehead, lores, crown, mantle, and scapular area are a neutral grey colour. Manual Download. The research involved comparing Orca 2 with other significant models such as Llama-2, GPT-3. Accounting for 5M portion, orca-mini only tuned on 130k/5M = 2. Specify the destination folder where you want to save the dataset. 1k • 661 Text Generation • Updated Oct 3, 2023 • 6 Oct 21, 2023 · OpenOrca - Mistral - 7B - 8k. 1 InstructionTuning Instruction tuning [46, 38, 62, 61] has emerged as a crucial step in training language models. Install PSResource. For example, Orca achieves a higher BLEU score than Vicuna on the Awesome prompts dataset (0. download() method on the loaded dataset object. Feb 16, 2024 · Ensembling provides a substantial boost in accuracy but at a significant cost increase with multiple calls to the model (e. Orca 2 emerges. Nov 20, 2023 · Orca 2 is trained with an expanded, highly tailored synthetic dataset. 5 and GPT-4. Either download one of TheBloke ’s GGUF model files ( orca-2-13b. Model specialization: create specialized models that gives the model specialized capabilities or custom download history blame contribute delete. like 657. Please share the dataset I'll love you very much Nov 30, 2023 · This image from the Orca-2 paper, showcases differences in how Orca 2, LLaMA-2, LLaMA-2-Chat, and ChatGPT (GPT-3. Inference Endpoints. Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, Sahaj Agarwal, Hamid Palangi, Ahmed Awadallah. 5. ms/orca-lm to support research on the development, evaluation, and Under Download custom model or LoRA, enter TheBloke/orca_mini_13B-GPTQ. Feb 16, 2024 · In this work, we present Orca-Math, a 7-billion-parameter SLM based on the Mistral-7B, which achieves 86. To train Orca 2, Microsoft built a brand-new dataset, boasting approximately 817,000 training instances/ Building upon the foundation laid by Orca 1, Orca 2 underwent progressive learning, drawing data subsets from a fusion of the original FLAN annotations, the Orca 1 dataset, and the newly minted Orca 2 dataset. cpp with make. This achievement underscores Microsoft's effectiveness in AI research and Orca 2 is a finetuned version of LLAMA-2. It covers 1. We’re on a journey to advance and democratize artificial intelligence through open source and open science. It is too big to display, but you can still download it. Orca 2 isn’t just talking the talk – it’s walking the walk. This dataset is our attempt to reproduce the dataset generated for Microsoft Research's Orca Paper . Recent research has focused on enhancing the capability of smaller models through imitation learning, drawing on the outputs generated by large foundation models (LFMs). 36. 81% pass@1. 3 introduces charting and historical information as a concept in to ORCA. 1 on the open source dataset Open-Orca/SlimOrca. see Provided Files above for the list of branches for each option. Orca 2’s training data is a synthetic dataset that was created to enhance the small model’s reasoning abilities. Version 2. Evaluation The litmus test for Orca 2’s prowess came in the form of a comprehensive evaluation conducted by Microsoft. Original model card: lvkaokao's Mistral 7B Finetuned Orca DPO V2. The vast majority of machine learning models are designed for the closed-world setting rooted in the assumption that training and test data come from the same set of High resource use and slow. 3. Kategori: ORCA ADR-9988 Standard. This combination provides a rich, diverse training ground, exposing the Feb 16, 2024 · When trained with Supervised Fine-Tuning alone, Orca-Math achieves 81. Orca 2 represents a significant leap forward in AI language modeling. On the command line, including multiple files at once I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Nov 23, 2023 · Orca-2-13b. Jun 8, 2023 · Overall, implementing Orca LLM in Open Assistant could potentially provide users with a powerful new language model option that has been shown to perform well on various benchmarks. To prevent the wastes especially the plastic trash from getting into the ocean, it is essential to detect and clean the floating wastes in inland waters efficiently like in rivers, lakes, and canals. Also the Orca-mini dataset seems to only use chat-gpt-3. However, Orca 2 changes this narrative by demonstrating that with improved training Nov 2, 2021 · This dataset contains the data files from the research article entitled "Killer whale (Orcinus orca) population dynamics in response to a period of rapid ecosystem change in the eastern North Atlantic". Only 3 rules: 1. 5) and math-specific models (e. gguf. 83% on GSM8K. It’s about ai+darkweb dark web doesn’t mean creepy . 81% on GSM8k without the need for multiple model calls or the use of verifiers, code execution or any other external tools. LLAMA-2-70, Gemini Pro and GPT-3. Nov 23, 2023 · The dataset used to train Orca 2 is a blend of approximately 817K instances from FLAN annotations and the Orca 1 dataset. Transformers. fine tuned on an Orca-style Dec 12, 2023 · Follow. Authors: (1) Arindam Mitra; (2) Luciano Del Corro, work done while at Microsoft; Sep 25, 2023 · Training Open Instruction-Following Language Models. huggingface-cli download microsoft/orca-math-word-problems-200k --repo-type dataset --local-dir . All synthetic training data was moderated using the Microsoft Azure content filters. in ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search. MetaMath-70B and WizardMa8th-70B). Step 1: Extract the downloaded zip file. The Orca 2 dataset comprises four main sources: FLAN: The primary source is the FLAN-v2 Collection. Orca 2 uses a PDF Download Download. We use OpenChat packing, trained with Axolotl. This file is stored with Git LFS . 8 dataset by Eric Hartford and based on TinyLlama. In the top left, click the refresh icon next to Model. The training data was generated such that it teaches Orca 2 various reasoning techniques, such as step-by-step processing Dive into the extraordinary world of Orca 2, the finely tuned successor of LLAMA-2! This video unveils the marvels behind Orca 2's synthetic dataset, meticul Dataset Card This dataset contains ~200K grade school math word problems. To train Orca 2, the researchers start with the 7 billion and 13 billion versions of LLaMA-2, and continue training on data from the FLAN-v2 dataset, the dataset from the first Orca paper, and a new dataset created for Orca 2 based on the two ideas we’ mentioned above of using the right tool for the job and cautious reasoning Nov 21, 2023 · We’re on a journey to advance and democratize artificial intelligence through open source and open science. They are fine-tuned on Meta’s Llama 2 using a synthetic dataset that was created to enhance the small model’s reasoning abilities. Orca. The result is a "reasoning trace" augmentation that has shown impressive results, allowing a LLaMA-13B model trained with this data to rival or Mar 5, 2024 · Orca-Math achieves 86. Concretely, we annotate the following components in Orca: 1) $\textbf{Topic}$, which consists of several sentences to drive the whole conversation; 2) $\textbf{Domain}$, only one or two words indicate the specific field o which the content of the conversation belongs; 3) $\textbf{Conversations}$, where each turn is assigned a golden Jul 1, 2023 · The Open Orca Dataset was curated with the primary intent of providing an enhancement of the core FLAN Collection data. For Orca 2, we created a new dataset with ~817K training instances, which we will refer as Orca 2 dataset. I think people are missing why they are comparing against Llama-2 13B/70B. 1x. It leans on the detailed step-by-step reasoning capabilities of GPT-3. microsoft. Listen to this story. May 29, 2024 · Orca 2: Enhancing Reasoning in Smaller Language Models - Evaluation of Safety. Dec 5, 2023 · Here’s what you should do: Clone or update llama. Oct 21, 2023 · Open-Orca/OpenOrcaxOpenChat-Preview2-13B trained using a refined subset of most of the GPT-4 data from the OpenOrca dataset. /d1/ --local_dir_use_symlinks=False. ¶ Print Method 2: Export Files to a USB Flash Drive to Print ¶ 1. Text Generation. PyTorch. Orca MSI Editor allows you to edit the properties of any MSI file. 50% on GSM8k pass@1 metric. Training Procedure Open-Orca/Platypus2-13B was instruction fine-tuned using LoRA on 1x A100-80GB. Read by Dr. Under Download custom model or LoRA, enter TheBloke/orca_mini_v2_13b-GPTQ. This section provides an overview of the training process for Orca 2, covering different aspects of tokenization, sequencing, and loss computation. Install Module. 9 49. The goal of Orca is to enhance the performance of existing state-of-the-art instruction-tuned models. We will be releasing Orca's as the models continue to be trained. 4 million of the TREC DL documents, providing 18 million connections to 10 million distinct queries. This release is trained on a curated filtered subset of most of our GPT-4 augmented data. Click Download. This dataset contains ~200K grade school math word problems. An Uncensored LLaMA-13b model in collaboration with Eric Hartford. the Orca paper has been replicated to as fine of a degree of precision as several obsessive nerds sweating for weeks could pull off(a very high degree). Unique Features: What sets FreeWilly2 apart is the use of an Orca-style dataset for its fine-tuning. Dec 28, 2023 · The final leg of training encompassed a four-epoch session on a composite dataset, consisting of 1 million GPT-4 data instances from both Orca 1 and Orca 2’s 817,000 data samples. We also describe the details about the progressive Nov 20, 2023 · Microsoft Research has announced the release of Orca 2, the latest iteration of their small language model series aimed at expanding the capabilities of smaller AI models. 81% on GSM8k pass@1, exceeding the performance of much bigger models including general models (e. Introduced by Craswell et al. 3 MB. ¶ 3. Please refer to Orca-Math: Unlocking the potential of SLMs in Grade School Math for details about the dataset construction. All the answers in this dataset is generated using Azure GPT4-Turbo. The graph in Figure 1 shows that the relatively small Orca-2 7B and 13B models perform comparably to the significantly larger 13B and 70B LLaMA-2 and WizardLM models. This repo serves as an open effort on instruction-tuning popular pretrained language models on publicly available datasets. This is not a general dark web subreddit, common misunderstanding. We build explain tuned WizardLM dataset ~70K, Alpaca dataset Abstract. In this work, we present Orca-Math, a 7-billion-parameter SLM based on the Mistral-7B, which achieves 86. Oct 11, 2023 · Once you download the ORCA MSI editor installation file on your Windows PC, here’s how to install it. [UPDATE] Software ZLINK5 v5. For example. exe is a database table editor for creating and editing Windows Installer packages and merge modules. Apr 26, 2022 · How do I write a HuggingFace dataset to disk? I have made my own HuggingFace dataset using a JSONL file: Dataset({ features: ['id', 'text'], num_rows: 18 }) I would like to persist the dataset to disk. Phi-2. Dec 14, 2023 · Today, we’re announcing the addition of six new models. Copy and Paste the following command to install this package using PowerShellGet More Info. “We create Orca-Math-dataset, a synthetic dataset of 200K math problems, paired with GPT-4-Turbo Mar 8, 2024 · I avoid problem I mentioned in the beginning without introducing another server by following below solution: use huggingface-cli to download datasets to local dir. Note that the base model (Mistral-7B) achieves 37. I wonder if is there any attempt to recreate Orca dataset fully (As an augmented FLAN dataset)? May 29, 2024 · 4. This could enhance the capabilities of Open Assistant and provide users with even more accurate and high-quality AI performance. Installation. Progressive Learning: We start with LLaMA-2-7B or LLaMA-2-13B checkpoint and finetune it on the train split of FLAN-v2 dataset for one epoch. Open Orca Dataset Released! Resources. Human language technologies. Then we train on the combination of 1 million GPT-4 data from Orca 1 and Orca 2’s 817K data for 4 epochs. 5-Turbo) respond to a reasoning question. Outperforming models of similar size and going head-to-head with models almost ten times larger, especially in tricky tasks that test advanced reasoning, Orca 2 is Nov 18, 2023 · Orca 2 significantly surpasses models of similar size and attains performance levels similar or better to those of models 5-10x larger, as assessed on complex tasks that test advanced reasoning abilities in zero-shot settings. Following Orca 1, Orca 2 has been trained with progressive learning, with subsets of data obtained from combining the original FLAN [33] annotations, Orca 1 dataset and the Orca 2 dataset. It is a language model that operates on a leaner parameter scale—7 billion and 13 billion—yet packs a punch comparable to its heavyweight counterparts boasting up to 70 billion parameters. The authors created a new Maxime Labonne - Orca – Progressive Learning from Complex Explanation Traces of GPT-4. With iterative preference learning, Orca-Math achieves 86. In this project, we develop technologies for creating, improving, and specializing small LMs (~10B parameters or less). Microsoft Research released its Orca 2 LLM, a fine-tuned version of Llama 2 that performs as well as or better than models that contain 10x the number of parameters. ¶ 2. Dec 1, 2023 · Other techniques to generate synthetic training data, such as inverting content from the FLAN (Fine-tuned LAnguage Net) dataset from Google, were also used to train Orca-2. No virus. Orca-Math surpasses the performance of significantly larger models such as LLAMA-2-70B, WizardMath-70B, Gemini-Pro, ChatGPT-3. 11:55 am November 28, 2023 By Julian Horsey. Nov 24, 2023 · A Compact Powerhouse. To download from a specific branch, enter for example TheBloke/orca_mini_v2_13b-GPTQ:gptq-4bit-32g-actorder_True. All synthetic training data was moderated using Microsoft Azure content filters. More details about the model can be found in the Orca 2 paper. Jan 11, 2024 · The Orca 2 dataset has four main sources, including the FLAN-v2 Collection, which consists of five sub-collections, namely, CoT, NiV2, T0, Flan 2021, and Dialogue. cpp local repo to at least this commit. Better reasoning capabilities: give smaller LMs enhanced reasoning abilities, typically found only in much larger models. This video shows how to install Orca 2 13b model locally on Windows. The models, with 7 billion and 13 billion parameters, have matched or surpassed the capabilities of larger models, like Meta's Llama-2 Chat-70B, in complex reasoning tasks and zero-shot scenarios. 6 in) long with between 8 and 12 rectrices. orca. A haven for open source ML, ai on the dark web, discussions, Neural nets and a platform for ai systems to be freely distributed and accessible to the public. Build llama. Once it's finished it will say "Done". Innova Zenix (White) Car Avatar 3D. The acquisition platform is equipped with Lidar, stereo camera, radar, and INS. Training Model Architecture: a Transformer-based model with next-word prediction objective ImageMask-Dataset-ORCA (2024/04/24) This is a simple ImageMask Dataset for Oral Cancer Image Segmentation. 4 mm (2. Download Data. Orca Mini v2 13B. The wings measure 57. Under Download Model, you can enter the model repo: TheBloke/Orca-2-13B-GGUF and below it, a specific filename to download, such as: orca-2-13b. To meet the requirement of perception and localization for USV in real-world inland waterways, the dataset mainly contains three tasks: SLAM/odometry, stereo matching Nov 28, 2023 · Microsoft Orca-2 13B small language model beats 70B alternatives. 2. This is due to its training dataset being primarily textbooks, which results in textbook-like responses. Nov 27, 2023 · Image Credit: Microsoft Research. Training We trained with 8x A100-80G GPUs for 15 hours. 4% of the OG Orca dataset. , Phi-GSM uses top-48 to boost the performance from 68. Orca 2’s training data is a synthetic dataset. Subhabrata (Subho) Mukherjee, Arindam Mitra, Ganesh Jawahar, Sahaj Agarwal, Hamid Palangi, Ahmed Awadallah. Jul 7, 2023 · Finally the (open) ORCA dataset! The Open Source community created the ORCA Dataset, based on the Flan Collection (Flan v2) and performing the jump from Inst And thank you again to a16z for their generous grant. Nov 21, 2023 · Orca 2 is trained with an expanded, highly tailored synthetic dataset. Orca 2, Microsoft's latest innovation, explores the potential of smaller LMs, specifically those with 10 billion parameters or less. To transfer files to a USB flash drive, click the down arrow next to the print icon in the top right corner, and select [Export plate The dark web for ai. Orca 2 builds on this by focusing on enhancing the reasoning abilities of smaller language models (LMs). Oct 5, 2022 · Orca. The model will start downloading. The printer receives the file. Nov 23, 2023 · Smaller, better, stronger! Orca 1 improved upon conventional instruction-tuned models by learning from rich signals, such as explanation traces, and showed superior performance on challenging benchmarks like BigBench Hard and AGIEval. This study presents a comprehensive evaluation of Microsoft Research’s Orca 2, a small yet potent language model, in the context of Retrieval Augmented Generation (RAG). arXiv: Computation and Language | June 2023. Instruction tuning involves learning from input-output pairs where the input is Orca 2 is a finetuned version of LLAMA-2. One. ORCAS is a click-based dataset. orca2. Q5_K_M. Jun 29, 2023 · OpenOrca: open source dataset and instruct-tuned LLMs (erichartford. Installation Options. Homepage. 5). With this tool, you can change the title and text within the installer and look at how and where the files are delivered. This tool used to be a part Note that FLAN-v2 dataset contains both zero-shot and few-shot problems. 3 48. Click [Send] to send the model to the printer. And the dataset after we wipe off all the sweat and tears. Phi-2 shows the power of SLMs, and exhibits dramatic improvements in reasoning capabilities and safety measures compared to Phi-1 Jun 11, 2023 · Orca outperforms these models in terms of quality and diversity of responses across various datasets and tasks. 7 billion parameters. 69 vs 0. In the Model dropdown, choose the model you just downloaded: orca_mini_13B-GPTQ. Dataset Description Curated by: Microsoft; Language(s) (NLP): English; License: MIT Original model card: Pankaj Mathur's Orca Mini v2 13B. Apr 14, 2024 · Microsoft's Orca 2 is a groundbreaking AI language model that has made significant strides in efficiency and performance. llama. 1448 high-quality tasks are selected, grouped into 23 categories and further divided into 126 sub-categories. ORCAS. Bar graph comparing GSM8K score of different models with 23. Redefining small LMs performance. To download the dataset, follow these steps: Use the . We will show a chart of how the recommendations progress between versions. Commodity cost was < $200. ORCA simultaneously recognizes classes previously seen in the labeled dataset and discovers novel, never-before-seen classes in a new open-world semi-supervised learning setting. We have used our own OpenOrca dataset to fine-tune on top of Mistral 7B. Click the Model tab. It’s also handy if you need to “hack” an MSI to work with a newer version of Windows. The model is designed to excel particularly in reasoning. Orca 2 is a finetuned version of LLAMA-2. 37), a higher ROUGE-L score than Alpaca on the Flan-2 dataset (0. The tool provides a graphical interface for validation, highlighting the particular entries where validation errors or warnings occur. ak nj hw cu ek va gj gs uz uz