The base model of StarCoder has 15. Note: The reproduced result of StarCoder on MBPP. What Units WizardCoder AsideOne may surprise what makes WizardCoder’s efficiency on HumanEval so distinctive, particularly contemplating its comparatively compact measurement. 5 and WizardCoder-15B in my evaluations so far At python, the 3B Replit outperforms the 13B meta python fine-tune. 3 pass@1 on the HumanEval Benchmarks, which is 22. StarCoder using this comparison chart. WizardLM/WizardCoder-15B-V1. TGI enables high-performance text generation for the most popular open-source LLMs, including Llama, Falcon, StarCoder, BLOOM, GPT-NeoX, and more. 3B 7B 50. json, point to your environment and cache locations, and modify the SBATCH settings to suit your setup. You can access the extension's commands by: Right-clicking in the editor and selecting the Chat with Wizard Coder command from the context menu. ; config: AutoConfig object. 8% Pass@1 on HumanEval!📙Paper: StarCoder may the source be with you 📚Publisher: Arxiv 🏠Author Affiliation: Hugging Face 🔑Public: 🌐Architecture Encoder-Decoder Decoder-Only 📏Model Size 15. for text in llm ("AI is going. 6B; Chat models. Note: The reproduced result of StarCoder on MBPP. Introduction. I appear to be stuck. 8 vs. For santacoder: Task: "def hello" -> generate 30 tokens. Code Large Language Models (Code LLMs), such as StarCoder, have demonstrated exceptional performance in code-related tasks. When OpenAI’s Codex, a 12B parameter model based on GPT-3 trained on 100B tokens, was released in July 2021, in. Under Download custom model or LoRA, enter TheBloke/starcoder-GPTQ. About org cards. This is the same model as SantaCoder but it can be loaded with transformers >=4. Learn more. 0 model achieves the 57. This involves tailoring the prompt to the domain of code-related instructions. Star 4. 2. Notably, Code LLMs, trained extensively on vast amounts of code. #14. TGI implements many features, such as:1. Both of these. It comes in the same sizes as Code Llama: 7B, 13B, and 34B. TizocWarrior •. Click the Model tab. 5 billion. The Starcoder models are a series of 15. NM, I found what I believe is the answer from the starcoder model card page, fill in FILENAME below: <reponame>REPONAME<filename>FILENAME<gh_stars>STARS code<|endoftext|>. 0 : Make sure you have the latest version of this extesion. -> transformers pipeline in float 16, cuda: ~1300ms per inference. In the world of deploying and serving Large Language Models (LLMs), two notable frameworks have emerged as powerful solutions: Text Generation Interface (TGI) and vLLM. T StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. 🔥 We released WizardCoder-15B-v1. ago. The resulting defog-easy model was then fine-tuned on difficult and extremely difficult questions to produce SQLcoder. In an ideal world, we can converge onto a more robust benchmarking framework w/ many flavors of evaluation which new model builders. Two of the popular LLMs for coding—StarCoder (May 2023) and WizardCoder (Jun 2023) Compared to prior works, the problems reflect diverse, realistic, and practical use. If your model uses one of the above model architectures, you can seamlessly run your model with vLLM. cpp and libraries and UIs which support this format, such as: text-generation-webui, the most popular web UI. Our WizardCoder generates answers using greedy decoding and tests with the same <a href="tabindex=". Reasons I want to choose the 4080: Vastly better (and easier) support. cpp into WASM/HTML formats generating a bundle that can be executed on browser. They notice a significant rise in pass@1 scores, namely a +22. 3, surpassing the open-source SOTA by approximately 20 points. In the top left, click the refresh icon next to Model. I think my Pythia Deduped conversions (70M, 160M, 410M, and 1B in particular) will be of interest to you: The smallest one I have is ggml-pythia-70m-deduped-q4_0. You signed in with another tab or window. 5-turbo（60. 0) and Bard (59. 8 vs. When fine-tuned on a given schema, it also outperforms gpt-4. In terms of most of mathematical questions, WizardLM's results is also better. The StarCoder models are 15. 821 26K views 3 months ago In this video, we review WizardLM's WizardCoder, a new model specifically trained to be a coding assistant. Code Large Language Models (Code LLMs), such as StarCoder, have demonstrated exceptional performance in code-related tasks. 3 (57. This model was trained with a WizardCoder base, which itself uses a StarCoder base model. 1. TheBloke/Llama-2-13B-chat-GGML. Building upon the strong foundation laid by StarCoder and CodeLlama,. They honed StarCoder’s foundational model using only our mild to moderate queries. It uses llm-ls as its backend. WizardCoder is a specialized model that has been fine-tuned to follow complex coding instructions. Speed is indeed pretty great, and generally speaking results are much better than GPTQ-4bit but there does seem to be a problem with the nucleus sampler in this runtime so be very careful with what sampling parameters you feed it. 0: ; Make sure you have the latest version of this extension. New: Wizardcoder, Starcoder,. Accelerate has the advantage of automatically handling mixed precision & devices. CodeFuse-MFTCoder is an open-source project of CodeFuse for multitasking Code-LLMs(large language model for code tasks), which includes models, datasets, training codebases and inference guides. 3 pass@1 on the HumanEval Benchmarks, which is 22. 8 vs. Guanaco is an LLM that uses a finetuning method called LoRA that was developed by Tim Dettmers et. However, CoPilot is a plugin for Visual Studio Code, which may be a more familiar environment for many developers. However, since WizardCoder is trained with instructions, it is advisable to use the instruction formats. It is written in Python and trained to write over 80 programming languages, including object-oriented programming languages like C++, Python, and Java and procedural. 0-GGUF, you'll need more powerful hardware. The above figure shows that our WizardCoder attains the third position in this benchmark, surpassing Claude-Plus (59. In this organization you can find the artefacts of this collaboration: StarCoder, a state-of-the-art language model for code, OctoPack, artifacts. 2), with opt-out requests excluded. I believe that the discrepancy in performance between the WizardCode series based on Starcoder and the one based on LLama comes from how the base model treats padding. However, any GPTBigCode model variants should be able to reuse these (e. 53. Model card Files Files and versions Community 8 Train Deploy Use in Transformers. 🌟 Model Variety: LM Studio supports a wide range of ggml Llama, MPT, and StarCoder models, including Llama 2, Orca, Vicuna, NousHermes, WizardCoder, and MPT from Hugging Face. Is there any VS Code plugin you can recommend that you can wire up with local/self-hosted model? I'm not explicitly asking for model advice. 5 (47%) and Google’s PaLM 2-S (37. However, most existing models are solely pre-trained on extensive raw. Text Generation Inference (TGI) is a toolkit for deploying and serving Large Language Models (LLMs). The openassistant-guanaco dataset was further trimmed to within 2 standard deviations of token size for input and output pairs and all non-english. Notifications. With a context length of over 8,000 tokens, they can process more input than any other open Large Language Model. 8 vs. Additionally, WizardCoder. 40. 🔥 The following figure shows that our WizardCoder attains the third positio n in the HumanEval benchmark, surpassing Claude-Plus (59. 54. If you are confused with the different scores of our model (57. It's completely. 0 model achieves the 57. The example starcoder binary provided with ggml; As other options become available I will endeavour to update them here (do let me know in the Community tab if I've missed something!). WizardCoder is the best for the past 2 months I've tested it myself and it is really good Reply AACK_FLAARG • Additional comment actions. Moreover, our Code LLM, WizardCoder, demonstrates exceptional performance,. Wizard LM quickly introduced WizardCoder 34B, a fine-tuned model based on Code Llama, boasting a pass rate of 73. The inception of this model lies in the fact that traditional language models, though adept at handling natural language queries, often falter when it comes to understanding complex code instructions. Wizard vs Sorcerer. I worked with GPT4 to get it to run a local model, but I am not sure if it hallucinated all of that. Download the 3B, 7B, or 13B model from Hugging Face. 0% vs. 14135. From what I am seeing either: 1/ your program is unable to access the model 2/ your program is throwing. Code Llama: Llama 2 学会写代码了！ 引言 . Defog In our benchmarking, the SQLCoder outperforms nearly every popular model except GPT-4. r/LocalLLaMA: Subreddit to discuss about Llama, the large language model created by Meta AI. However, most existing. 8k. In this paper, we introduce WizardCoder, which empowers Code LLMs with complex. This is what I used: python -m santacoder_inference bigcode/starcoderbase --wbits 4 --groupsize 128 --load starcoderbase-GPTQ-4bit-128g/model. Click Download. In this paper, we show an avenue for creating large amounts of. Subsequently, we fine-tune the Code LLM, StarCoder, utilizing the newly created instruction-following training set. 9k • 54. StarCoder is a part of Hugging Face’s and ServiceNow’s over-600-person BigCode project, launched late last year, which aims to develop “state-of-the-art” AI systems for code in an “open. Under Download custom model or LoRA, enter TheBloke/starcoder-GPTQ. Unfortunately, StarCoder was close but not good or consistent. You can load them with the revision flag:GPT-4 is a Transformer-based model pre-trained to predict the next token in a document. 5. It contains 783GB of code in 86 programming languages, and includes 54GB GitHub Issues + 13GB Jupyter notebooks in scripts and text-code pairs, and 32GB of GitHub commits, which is approximately 250 Billion tokens. In this paper, we introduce WizardCoder, which empowers Code LLMs with complex instruction fine-tuning, by adapting the Evol-Instruct method to the domain of code. Compare Llama 2 vs. Not to mention integrated in VS code. 8 vs. md where they indicated that WizardCoder was licensed under OpenRail-M, which is more permissive than theCC-BY-NC 4. sqrt (element)) + 1, 2): if element % i == 0: return False return True. Dataset description. 0, the Prompt should be as following: "A chat between a curious user and an artificial intelligence assistant. I think we better define the request. Larus Oct 9, 2018 @ 3:51pm. Remarkably, despite its much smaller size, our WizardCoder even surpasses Anthropic’s Claude and Google’s Bard in terms of pass rates on HumanEval and HumanEval+. Compare price, features, and reviews of the software side-by-side to make the best choice for your business. Algorithms. 5% score. Dubbed StarCoder, the open-access and royalty-free model can be deployed to bring pair‑programing and generative AI together with capabilities like text‑to‑code and text‑to‑workflow,. arxiv: 1911. 8%). Using the API with FauxPilot Plugin. Our WizardCoder is also evaluated on the same data. This is because the replication approach differs slightly from what each quotes. 8% pass@1 on HumanEval is good, GPT-4 gets a 67. These models rely on more capable and closed models from the OpenAI API. 48 MB GGML_ASSERT: ggml. from_pretrained ("/path/to/ggml-model. News 🔥 Our WizardCoder-15B-v1. To date, only basic variants of round-to-nearest quantization (Yao et al. I still fall a few percent short of the advertised HumanEval+ results that some of these provide in their papers using my prompt, settings, and parser - but it is important to note that I am simply counting the pass rate of. First of all, thank you for your work! I used ggml to quantize the starcoder model to 8bit (4bit), but I encountered difficulties when using GPU for inference. AI startup Hugging Face and ServiceNow Research, ServiceNow’s R&D division, have released StarCoder, a free alternative to code-generating AI systems along. The model will start downloading. In this paper, we introduce WizardCoder, which. However, most existing models are solely pre-trained on extensive raw code data without instruction fine-tuning. 0 as I type. 3 points higher than the SOTA open-source Code LLMs. In the latest publications in Coding LLMs field, many efforts have been made regarding for data engineering(Phi-1) and instruction tuning (WizardCoder). wizardcoder 15B is starcoder based, it'll be wizardcoder 34B and phind 34B, which are codellama based, which is llama2 based. Text Generation Transformers PyTorch. py <path to OpenLLaMA directory>. License . StarCoder and StarCoderBase are Large Language Models for Code trained on GitHub data. 0) increase in HumanEval and a +8. openai llama copilot github-copilot llm starcoder wizardcoder Updated Nov 17, 2023; Python; JosefAlbers / Roy Star 51. CONNECT 🖥️ Website: Twitter: Discord: ️. Subsequently, we fine-tune the Code LLM, StarCoder, utilizing the newly created instruction-following training set. By utilizing a newly created instruction-following training set, WizardCoder has been tailored to provide unparalleled performance and accuracy when it comes to coding. StarCoder is an LLM designed solely for programming languages with the aim of assisting programmers in writing quality and efficient code within reduced time frames. Subsequently, we fine-tune the Code LLM, StarCoder, utilizing the newly created instruction-following training set. sh to adapt CHECKPOINT_PATH to point to the downloaded Megatron-LM checkpoint, WEIGHTS_TRAIN & WEIGHTS_VALID to point to the above created txt files, TOKENIZER_FILE to StarCoder's tokenizer. Text Generation Inference is already. Please share the config in which you tested, I am learning what environments/settings it is doing good vs doing bad in. What is this about? 💫 StarCoder is a language model (LM) trained on source code and natural language text. Text Generation • Updated Sep 8 • 11. starcoder/15b/plus + wizardcoder/15b + codellama/7b + + starchat/15b/beta + wizardlm/7b + wizardlm/13b + wizardlm/30b. Many thanks for your suggestion @TheBloke , @concedo , the --unbantokens flag works very well. 6 pass@1 on the GSM8k Benchmarks, which is 24. Image Credits: JuSun / Getty Images. It is also supports metadata, and is designed to be extensible. 2) and a Wikipedia dataset. ## NewsDownload Refact for VS Code or JetBrains. main_custom: Packaged. The world of coding has been revolutionized by the advent of large language models (LLMs) like GPT-4, StarCoder, and Code LLama. The Technology Innovation Institute (TII), an esteemed research. WizardLM/WizardCoder-Python-7B-V1. Based on. Code Large Language Models (Code LLMs), such as StarCoder, have demonstrated exceptional performance in code-related tasks. Approx 200GB/s more memory bandwidth. Notably, our model exhibits a substantially smaller size compared to these models. Hi, For Wizard Coder 15B I would like to understand: What is the maximum input token size for the wizard coder 15B? Similarly what is the max output token size? In cases where want to make use of this model to say review code across multiple files which might be dependent (one file calling function from another), how to tokenize such code. 05/08/2023. Args: model_path_or_repo_id: The path to a model file or directory or the name of a Hugging Face Hub model repo. Model Summary. 0）的信息，包括名称、简称、简介、发布机构、发布时间、参数大小、是否开源等。. WizardCoder model. I think is because the vocab_size of WizardCoder is 49153, and you extended the vocab_size to 49153+63, thus vocab_size could divised by. Reload to refresh your session. append ('. However, it was later revealed that Wizard LM compared this score to GPT-4’s March version, rather than the higher-rated August version, raising questions about transparency. 2), with opt-out requests excluded. Don't forget to also include the "--model_type" argument, followed by the appropriate value. I am also looking for a decent 7B 8-16k context coding model. 06161. Notably, our model exhibits a substantially smaller size compared to these models. 0 model achieves the 57. Subsequently, we fine-tune StarCoder and CodeLlama using our newly generated code instruction-following training set, resulting in our WizardCoder models. Using the copilot's inline completion the "toggle wizardCoder activation" command: Shift+Ctrl+' (Windows/Linux) or Shift+Cmd+' (Mac). However, most existing models are solely pre-trained on extensive raw. 6*, which differs from the reported result of 52. Also, one thing was bothering. We find that MPT-30B models outperform LLaMa-30B and Falcon-40B by a wide margin, and even outperform many purpose-built coding models such as StarCoder. License: bigcode-openrail-m. 5). ggmlv3. A. It can also do fill-in-the-middle, i. It's completely open-source and can be installed. Compare price, features, and reviews of the software side-by-side to make the best choice for your business. Comparing WizardCoder with the Open-Source. 3 pass@1 on the HumanEval Benchmarks, which is 22. 9k • 54. In this paper, we introduce WizardCoder, which empowers Code LLMs with complex instruction fine-tuning, by adapting the Evol-Instruct method to the domain of code. 0 at the beginning of the conversation: For WizardLM-30B-V1. Testing. Non-commercial. ') from codeassist import WizardCoder m = WizardCoder ("WizardLM/WizardCoder-15B-V1. Refact/1. co Our WizardCoder generates answers using greedy decoding and tests with the same <a href=\"<h2 tabindex=\"-1\" dir=\"auto\"><a id=\"user-content-comparing-wizardcoder-15b-v10-with-the-open-source-models\" class=\"anchor\" aria-hidden=\"true\" tabindex=\"-1\" href=\"#comparing. Furthermore, our WizardLM-30B model surpasses StarCoder and OpenAI's code-cushman-001. Thus, the license of WizardCoder will keep the same as StarCoder. This time, it's Vicuna-13b-GPTQ-4bit-128g vs. Not open source, but shit works Reply ResearcherNo4728 •. Additionally, WizardCoder significantly outperforms all the open-source Code LLMs with instructions fine-tuning, including. Code Large Language Models (Code LLMs), such as StarCoder, have demon-strated exceptional performance in code-related tasks. 0 license. However, most existing models are solely pre-trained on extensive raw code data without instruction fine-tuning. 8 vs. Even more puzzled as to why no. StarCoder is a new AI language model that has been developed by HuggingFace and other collaborators to be trained as an open-source model dedicated to code completion tasks. 3 pass@1 on the HumanEval Benchmarks . 1 Model Card The WizardCoder-Guanaco-15B-V1. We collected and constructed about 450,000 instruction data covering almost all code-related tasks for the first stage of fine-tuning. All meta Codellama models score below chatgpt-3. We observed that StarCoder matches or outperforms code-cushman-001 on many languages. 0 use different prompt with Wizard-7B-V1. This is WizardLM trained with a subset of the dataset - responses that contained alignment / moralizing were removed. This involves tailoring the prompt to the domain of code-related instructions. 5B parameter models trained on 80+ programming languages from The Stack (v1. The BigCode project is an open-scientific collaboration working on the responsible development of large language models for code. 0 model achieves the 57. 0 简介. Open Vscode Settings ( cmd+,) & type: Hugging Face Code: Config Template. AboutThe best open source codegen LLMs like WizardCoder and StarCoder can explain a shared snippet of code. Curate this topic Add this topic to your repo. 0 & WizardLM-13B-V1. Learn more. StarCoder. The model uses Multi Query. The assistant gives helpful, detailed, and polite. 6: defog-easysql: 57. 0 Released! Can Achieve 59. 0 trained with 78k evolved code. This work could even lay the groundwork to support other models outside of starcoder and MPT (as long as they are on HuggingFace). 6%) despite being substantially smaller in size. optimum-cli export onnx --model bigcode/starcoder starcoder2. It is a replacement for GGML, which is no longer supported by llama. 0-GPTQ. CONNECT 🖥️ Website: Twitter: Discord: ️. StarCoder # Paper: A technical report about StarCoder. noobmldude 26 days ago. Claim StarCoder and update features and information. SQLCoder is fine-tuned on a base StarCoder. al. cpp. 0 model achieves 81. Yes twinned spells for the win! Wizards tend to have a lot more utility spells at their disposal, plus they can learn spells from scrolls which is always fun. MFT Arxiv paper. However, most existing models are solely pre-trained on extensive raw code data without instruction fine-tuning. 3 points higher than the SOTA open-source. Currently they can be used with: KoboldCpp, a powerful inference engine based on llama. Furthermore, our WizardLM-30B model surpasses StarCoder and OpenAI's code-cushman-001. News 🔥 Our WizardCoder-15B. 0 model achieves the 57. top_k=1 usually does the trick, that leaves no choices for topp to pick from. 0 model achieves the 57. Enter the token in Preferences -> Editor -> General -> StarCoder Suggestions appear as you type if enabled, or right-click selected text to manually prompt. News 🔥 Our WizardCoder-15B-v1. Uh, so 1) SalesForce Codegen is also open source (BSD licensed, so more open than StarCoder's OpenRAIL ethical license). 10. 0 use different prompt with Wizard-7B-V1. Large Language Models for CODE: Code LLMs are getting real good at python code generation. js uses Web Workers to initialize and run the model for inference. This involves tailoring the prompt to the domain of code-related instructions. If you are confused with the different scores of our model (57. 0 Model Card. The assistant gives helpful, detailed, and polite answers to the. 1: text-davinci-003: 54. SQLCoder is fine-tuned on a base StarCoder model. 8 vs. co/bigcode/starcoder and accept the agreement. It also generates comments that explain what it is doing. Note: The reproduced result of StarCoder on MBPP. Subsequently, we fine-tune the Code LLM, StarCoder, utilizing the newly created instruction-following training set. Published as a conference paper at ICLR 2023 2022). WizardCoder. 5-turbo for natural language to SQL generation tasks on our sql-eval framework, and significantly outperforms all popular open-source models. Although on our complexity-balanced test set, WizardLM-7B outperforms ChatGPT in the high-complexity instructions, it. • WizardCoder. 同时，页面还提供了. The training experience accumulated in training Ziya-Coding-15B-v1 was transferred to the training of the new version. From the wizardcoder github: Disclaimer The resources, including code, data, and model weights, associated with this project are restricted for academic research purposes only and cannot be used for commercial purposes. Furthermore, our WizardLM-30B model surpasses StarCoder and OpenAI's code-cushman-001. galfaroi commented May 6, 2023. Koala face-off for my next comparison. If you're using the GPTQ version, you'll want a strong GPU with at least 10 gigs of VRAM. Notably, our model exhibits a substantially smaller size compared to these models. Run in Google Colab. 1. Fork. От расширений для VS Code до поддержки в блокнотах Jupyter, VIM, EMACs и многого другого, мы делаем процесс интеграции StarCoder и его наследников в рабочий процесс разработчиков более простым. 3 points higher than the SOTA open-source. 35. Table 2: Zero-shot accuracy (pass @ 1) of MPT-30B models vs. 2023). 14255. But don't expect 70M to be usable lol. GGML files are for CPU + GPU inference using llama. @inproceedings{zheng2023codegeex, title={CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X}, author={Qinkai Zheng and Xiao Xia and Xu Zou and Yuxiao Dong and Shan Wang and Yufei Xue and Zihan Wang and Lei Shen and Andi Wang and Yang Li and Teng Su and Zhilin Yang and Jie Tang},. While far better at code than the original Nous-Hermes built on Llama, it is worse than WizardCoder at pure code benchmarks, like HumanEval. Visual Studio Code extension for WizardCoder. 使用方法 ：用户可以通过 transformers 库使用. Requires the bigcode fork of transformers. {"payload":{"allShortcutsEnabled":false,"fileTree":{"WizardCoder/src":{"items":[{"name":"humaneval_gen. Load other checkpoints We upload the checkpoint of each experiment to a separate branch as well as the intermediate checkpoints as commits on the branches. bin", model_type = "gpt2") print (llm ("AI is going to")). Compare Code Llama vs. 0 & WizardLM-13B-V1. Repository: bigcode/Megatron-LM. 3 vs. This is what I used: python -m santacoder_inference bigcode/starcoderbase --wbits 4 --groupsize 128 --load starcoderbase-GPTQ-4bit-128g/model. While reviewing the original data, I found errors and. This involves tailoring the prompt to the domain of code-related instructions. 0) and Bard (59. NEW WizardCoder-34B - THE BEST CODING LLM（GPTにて要約） 要約 このビデオでは、新しいオープンソースの大規模言語モデルに関する内容が紹介されています。Code Lamaモデルのリリース後24時間以内に、GPT-4の性能を超えることができる2つの異なるモデルが登場しました。In this framework, Phind-v2 slightly outperforms their quoted number while WizardCoder underperforms. It's completely open-source and can be installed. 近日，WizardLM 团队又发布了新的 WizardCoder-15B 大模型。至于原因，该研究表示生成代码类的大型语言模型（Code LLM）如 StarCoder，已经在代码相关任务中取得了卓越的性能。然而，大多数现有的模型仅仅是在大量的原始代码数据上进行预训练，而没有进行指令微调。The good news is you can use several open-source LLMs for coding. . 5 days ago on WizardCoder model repository license was changed from non-Commercial to OpenRAIL matching StarCoder original license! This is really big as even for the biggest enthusiasts of. and 2) while a 40. WizardCoder-15B-v1. 3 pass@1 on the HumanEval Benchmarks, which is 22. 35. なお、使用許諾の合意が必要なので、webui内蔵のモデルのダウンロード機能は使えないようです。. It turns out, this phrase doesn’t just apply to writers, SEO managers, and lawyers. For beefier models like the WizardCoder-Python-13B-V1. . arxiv: 2305. You. 0. SQLCoder is a 15B parameter model that outperforms gpt-3. Nice. Comparing WizardCoder with the Closed-Source Models. WizardCoder: EMPOWERING CODE LARGE LAN-GUAGE MODELS WITH EVOL-INSTRUCT Anonymous authors Paper under double-blind review.