StarCoderExtension for AI Code generation. Moreover, our Code LLM, WizardCoder, demonstrates exceptional performance, achieving a pass@1 score of 57. WizardCoder: Empowering Code Large Language. Star 4. Visual Studio Code extension for WizardCoder. While far better at code than the original Nous-Hermes built on Llama, it is worse than WizardCoder at pure code benchmarks, like HumanEval. But if I simply jumped on whatever looked promising all the time, I'd have already started adding support for MPT, then stopped halfway through to switch to Falcon instead, then left that in an unfinished state to start working on Starcoder. md where they indicated that WizardCoder was licensed under OpenRail-M, which is more permissive than theCC-BY-NC 4. Meta introduces SeamlessM4T, a foundational multimodal model that seamlessly translates and transcribes across speech and text for up to 100 languages. 0-GPTQ. StarCoder trained on a trillion tokens of licensed source code in more than 80 programming languages, pulled from BigCode’s The Stack v1. We fine-tuned StarCoderBase model for 35B Python. What’s the difference between ChatGPT and StarCoder? Compare ChatGPT vs. The results indicate that WizardLMs consistently exhibit superior performance in comparison to the LLaMa models of the same size. 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. 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!). The BigCode project was initiated as an open-scientific initiative with the goal of responsibly developing LLMs for code. Dataset description. StarCoder. Creating a wrapper around the HuggingFace Transformer library will achieve this. 3 points higher than the SOTA open-source. I expected Starcoderplus to outperform Starcoder, but it looks like it is actually expected to perform worse at Python (HumanEval is in Python) - as it is a generalist model - and. This repository showcases how we get an overview of this LM's capabilities. 7 in the paper. And make sure you are logged into the Hugging Face hub with: Modify training/finetune_starcoderbase. 0. As for the censoring, I didn. If you can provide me with an example, I would be very grateful. 8 vs. Hugging Face and ServiceNow jointly oversee BigCode, which has brought together over 600 members from a wide range of academic institutions and. """ if element < 2: return False if element == 2: return True if element % 2 == 0: return False for i in range (3, int (math. 1 billion of MHA implementation. High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. StarCoder 「StarCoder」と「StarCoderBase」は、80以上のプログラミング言語、Gitコミット、GitHub issue、Jupyter notebookなど、GitHubから許可されたデータで学習したコードのためのLLM (Code LLM) です。「StarCoderBase」は15Bパラメータモデルを1兆トークンで学習、「StarCoder」は「StarCoderBase」を35Bトーク. Historically, coding LLMs have played an instrumental role in both research and practical applications. Even more puzzled as to why no. Introduction. Read more about it in the official. Additionally, WizardCoder significantly outperforms all the open-source Code LLMs with instructions fine-tuning, including. By utilizing a newly created instruction-following training set, WizardCoder has been tailored to provide unparalleled performance and accuracy when it comes to coding. The model will automatically load, and is now ready for use! If you want any custom settings, set them and then click Save settings for this model followed by Reload the Model in the top right. Hugging Face. The following table clearly demonstrates that our WizardCoder exhibits a substantial performance advantage over all the open-source models. 2% pass@1). However, any GPTBigCode model variants should be able to reuse these (e. Otherwise, please refer to Adding a New Model for instructions on how to implement support for your model. The Microsoft model beat StarCoder from Hugging Face and ServiceNow (33. WizardCoder-Guanaco-15B-V1. The StarCoder LLM can run on its own as a text to code generation tool and it can also be integrated via a plugin to be used with popular development tools including Microsoft VS Code. 3 (57. 8 vs. 5 etc. Guanaco 7B, 13B, 33B and 65B models by Tim Dettmers: now for your local LLM pleasure. It is also supports metadata, and is designed to be extensible. Reload to refresh your session. I believe Pythia Deduped was one of the best performing models before LLaMA came along. metallicamax • 6 mo. 8), please check the Notes. 8), please check the Notes. Official WizardCoder-15B-V1. Starcoder/Codegen: As you all expected, the coding models do quite well at code! Of the OSS models these perform the best. 0) in HumanEval and +8. Unfortunately, StarCoder was close but not good or consistent. refactoring chat ai autocompletion devtools self-hosted developer-tools fine-tuning starchat llms starcoder wizardlm llama2 Resources. 3 pass@1 on the HumanEval Benchmarks, which is 22. WizardCoder: Empowering Code Large Language. Large Language Models for CODE: Code LLMs are getting real good at python code generation. The WizardCoder-Guanaco-15B-V1. 1. However, in the high-difficulty section of Evol-Instruct test set (difficulty level≥8), our WizardLM even outperforms ChatGPT, with a win rate 7. Once you install it, you will need to change a few settings in your. A core component of this project was developing infrastructure and optimization methods that behave predictably across a. :robot: The free, Open Source OpenAI alternative. Note: The above table conducts a comprehensive comparison of our WizardCoder with other models on the HumanEval and MBPP benchmarks. 0 model achieves the 57. StarCoder. WizardCoder is taking things to a whole new level. 3% 51. 02150. 3 points higher than the SOTA open-source. py","path":"WizardCoder/src/humaneval_gen. Download the 3B, 7B, or 13B model from Hugging Face. If you’re in a space where you need to build your own coding assistance service (such as a highly regulated industry), look at models like StarCoder and WizardCoder. Copied to clipboard. The assistant gives helpful, detailed, and polite. We observed that StarCoder matches or outperforms code-cushman-001 on many languages. This involves tailoring the prompt to the domain of code-related instructions. Issues. 5; GPT 4 (Pro plan) Self-Hosted Version of Refact. New VS Code Tool: StarCoderEx (AI Code Generator) By David Ramel. WizardCoder是怎样炼成的 我们仔细研究了相关论文,希望解开这款强大代码生成工具的秘密。 与其他知名的开源代码模型(例如 StarCoder 和 CodeT5+)不同,WizardCoder 并没有从零开始进行预训练,而是在已有模型的基础上进行了巧妙的构建。WizardCoder-15B-v1. 5B parameter Language Model trained on English and 80+ programming languages. 44. Reload to refresh your session. 1 Model Card. ,2023) and InstructCodeT5+ (Wang et al. 0 model achieves the 57. • We introduce WizardCoder, which enhances the performance of the open-source Code LLM, StarCoder, through the application of Code Evol-Instruct. This work could even lay the groundwork to support other models outside of starcoder and MPT (as long as they are on HuggingFace). Click Download. You switched accounts on another tab or window. By fine-tuning advanced Code. Bronze to Platinum Algorithms. Reload to refresh your session. Video Solutions for USACO Problems. This is because the replication approach differs slightly from what each quotes. Wizard vs Sorcerer. They honed StarCoder’s foundational model using only our mild to moderate queries. 0") print (m. To use the API from VSCode, I recommend the vscode-fauxpilot plugin. It is not just one model, but rather a collection of models, making it an interesting project worth introducing. See full list on huggingface. 3,是开源模型里面最高结果,接近GPT-3. However, most existing models are solely pre-trained on extensive raw code data without instruction fine-tuning. The results indicate that WizardLMs consistently exhibit superior performance in comparison to the LLaMa models of the same size. 5% Table 1: We use self-reported scores whenever available. 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. It was built by finetuning MPT-7B with a context length of 65k tokens on a filtered fiction subset of the books3 dataset. I worked with GPT4 to get it to run a local model, but I am not sure if it hallucinated all of that. Subscribe to the PRO plan to avoid getting rate limited in the free tier. Subsequently, we fine-tune the Code LLM, StarCoder, utilizing the newly created instruction-following training set. Model Summary. TGI implements many features, such as:1. We have tried to capitalize on all the latest innovations in the field of Coding LLMs to develop a high-performancemodel that is in line with the latest open-sourcereleases. This. 「StarCoderBase」は15Bパラメータモデルを1兆トークンで学習. cpp into WASM/HTML formats generating a bundle that can be executed on browser. Model card Files Files and versions Community 97alphakue • 13 hr. 🔥 The following figure shows that our WizardCoder attains the third positio n in the HumanEval benchmark, surpassing Claude-Plus (59. 「 StarCoder 」と「 StarCoderBase 」は、80以上のプログラミング言語、Gitコミット、GitHub issue、Jupyter notebookなど、GitHubから許可されたデータで学習したコードのためのLLM (Code LLM) です。. LoupGarou 26 days ago. Larus Oct 9, 2018 @ 3:51pm. Notably, our model exhibits a substantially smaller size compared to these models. ∗ Equal contribution. • WizardCoder significantly outperforms all other open-source Code LLMs, including StarCoder, CodeGen, CodeGee, CodeT5+, InstructCodeT5+, StarCoder-GPTeacher,. I have been using ChatGpt 3. bigcode/the-stack-dedup. 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. 81k • 629. OpenLLaMA is an openly licensed reproduction of Meta's original LLaMA model. 📙Paper: DeepSeek-Coder 📚Publisher: other 🏠Author Affiliation: DeepSeek-AI 🔑Public: 🌐Architecture Encoder-Decoder Decoder-Only 📏Model Size 1. 3 points higher than the SOTA open-source. The model will start downloading. Table is sorted by pass@1 score. You signed in with another tab or window. py. 0 model achieves 81. StarCoderBase: Trained on 80+ languages from The Stack. StarChat-β is the second model in the series, and is a fine-tuned version of StarCoderPlus that was trained on an "uncensored" variant of the openassistant-guanaco dataset. Discover amazing ML apps made by the communityHugging Face and ServiceNow have partnered to develop StarCoder, a new open-source language model for code. 3 vs. 1 Model Card. Before you can use the model go to hf. 44. Tutorials. Support for hugging face GPTBigCode model · Issue #603 · NVIDIA/FasterTransformer · GitHub. Enter the token in Preferences -> Editor -> General -> StarCoder Suggestions appear as you type if enabled, or right-click selected text to manually prompt. It also significantly outperforms text-davinci-003, a model that's more than 10 times its size. NVIDIA / FasterTransformer Public. CodeGen2. NOTE: The WizardLM-30B-V1. BigCode BigCode is an open scientific collaboration working on responsible training of large language models for coding applications. Model Summary. No matter what command I used, it still tried to download it. AMD 6900 XT, RTX 2060 12GB, RTX 3060 12GB, or RTX 3080 would do the trick. Please share the config in which you tested, I am learning what environments/settings it is doing good vs doing bad in. Compare price, features, and reviews of the software side-by-side to make the best choice for your business. This involves tailoring the prompt to the domain of code-related instructions. The evaluation metric is [email protected] parameter models trained on 80+ programming languages from The Stack (v1. I've added ct2 support to my interviewers and ran the WizardCoder-15B int8 quant, leaderboard is updated. Additionally, WizardCoder significantly outperforms all the open-source Code LLMs with instructions fine-tuning, including. MultiPL-E is a system for translating unit test-driven code generation benchmarks to new languages in order to create the first massively multilingual code generation benchmark. With a context length of over 8,000 tokens, they can process more input than any other open. Doesnt require using specific prompt format like starcoder. 性能对比 :在 SQL 生成任务的评估框架上,SQLCoder(64. Reload to refresh your session. cpp?準備手順. 8 vs. [Submitted on 14 Jun 2023] WizardCoder: Empowering Code Large Language Models with Evol-Instruct Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu,. I remember the WizardLM team. 🔥 The following figure shows that our WizardCoder attains the third position in this benchmark, surpassing. If you are confused with the different scores of our model (57. What is this about? 💫 StarCoder is a language model (LM) trained on source code and natural language text. In this paper, we show an avenue for creating large amounts of. 3 pass@1 on the HumanEval Benchmarks, which is 22. Subsequently, we fine-tune the Code LLM, StarCoder, utilizing the newly created instruction-following training set. Many thanks for your suggestion @TheBloke , @concedo , the --unbantokens flag works very well. You can supply your HF API token ( hf. The following table clearly demonstrates that our WizardCoder exhibits a substantial performance advantage over all the open-source models. Using the copilot's inline completion the "toggle wizardCoder activation" command: Shift+Ctrl+' (Windows/Linux) or Shift+Cmd+' (Mac). 8%). OpenRAIL-M. I'm going to use that as my. This is what I used: python -m santacoder_inference bigcode/starcoderbase --wbits 4 --groupsize 128 --load starcoderbase-GPTQ-4bit-128g/model. 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. WizardCoder - Python beats the best Code LLama 34B - Python model by an impressive margin. 05/08/2023. 🔥 The following figure shows that our **WizardCoder attains the third position in this benchmark**, surpassing Claude. Comparing WizardCoder with the Closed-Source Models. In Refact self-hosted you can select between the following models:To develop our WizardCoder model, we begin by adapting the Evol-Instruct method specifically for coding tasks. 5, you have a pretty solid alternative to GitHub Copilot that. Installation. MFT Arxiv paper. ago. Dunno much about it but I'm curious about StarCoder Reply. I'm considering a Vicuna vs. 06161. StarCoder is a transformer-based LLM capable of generating code from. 0%), that is human annotators even prefer the output of our model than ChatGPT on those hard questions. This involves tailoring the prompt to the domain of code-related instructions. Two of the popular LLMs for coding—StarCoder (May 2023) and WizardCoder (Jun 2023) Compared to prior works, the problems reflect diverse,. 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. 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. Our WizardCoder generates answers using greedy decoding and tests with the same <a href="tabindex=". 2 (51. Furthermore, our WizardLM-30B model surpasses StarCoder and OpenAI's code-cushman-001. Original model card: Eric Hartford's WizardLM 13B Uncensored. Issues 240. WizardCoder-15B-v1. 8 vs. We’re on a journey to advance and democratize artificial intelligence through open source and open science. It applies to software engineers as well. August 30, 2023. py). 8 vs. News 🔥 Our WizardCoder-15B-v1. The model uses Multi Query Attention, was trained using the Fill-in-the-Middle objective and with 8,192 tokens context window for a trillion tokens of heavily deduplicated data. 5B parameter models trained on 80+ programming languages from The Stack (v1. May 9, 2023: We've fine-tuned StarCoder to act as a helpful coding assistant 💬! Check out the chat/ directory for the training code and play with the model here. Subsequently, we fine-tune the Code LLM, StarCoder, utilizing the newly created instruction-following training set. Code Large Language Models (Code LLMs), such as StarCoder, have demonstrated exceptional performance in code-related tasks. 2. ago. News 🔥 Our WizardCoder-15B-v1. Cybersecurity Mesh Architecture (CSMA) 2. Developers seeking a solution to help them write, generate, and autocomplete code. 1 is a language model that combines the strengths of the WizardCoder base model and the openassistant-guanaco dataset for finetuning. GGUF offers numerous advantages over GGML, such as better tokenisation, and support for special tokens. 6%). Drop-in replacement for OpenAI running on consumer-grade hardware. What Units WizardCoder AsideOne may surprise what makes WizardCoder’s efficiency on HumanEval so distinctive, particularly contemplating its comparatively compact measurement. 10. StarCoder, the developers. StarCoder in 2023 by cost, reviews, features, integrations, deployment, target market, support options, trial offers, training options, years. 44. While far better at code than the original Nous-Hermes built on Llama, it is worse than WizardCoder at pure code benchmarks, like HumanEval. MHA is standard for transformer models, but MQA changes things up a little by sharing key and value embeddings between heads, lowering bandwidth and speeding up inference. 0 model achieves the 57. Fork 817. The openassistant-guanaco dataset was further trimmed to within 2 standard deviations of token size for input and output pairs and all non. From beginner-level python tutorials to complex algorithms for the USA Computer Olympiad (USACO). 0 at the beginning of the conversation:. Llama is kind of old already and it's going to be supplanted at some point. Notifications. , insert within your code, instead of just appending new code at the end. We found that removing the in-built alignment of the OpenAssistant dataset. They claimed to outperform existing open Large Language Models on programming benchmarks and match or surpass closed models (like CoPilot). It comes in the same sizes as Code Llama: 7B, 13B, and 34B. The StarCoder models are 15. See translation. 5 that works with llama. TheBloke/Llama-2-13B-chat-GGML. Introduction: In the realm of natural language processing (NLP), having access to robust and versatile language models is essential. GGML files are for CPU + GPU inference using llama. 2) (excluding opt-out requests). r/LocalLLaMA. WizardCoder. 5B parameter models trained on permissively licensed data from The Stack. WizardLM/WizardCoder-Python-7B-V1. ; config: AutoConfig object. It's a 15. 0) and Bard (59. Pull requests 41. Some musings about this work: In this framework, Phind-v2 slightly outperforms their quoted number while WizardCoder underperforms. 🔥 We released WizardCoder-15B-V1. This involves tailoring the prompt to the domain of code-related instructions. The assistant gives helpful, detailed, and polite answers to the. The foundation of WizardCoder-15B lies in the fine-tuning of the Code LLM, StarCoder, which has been widely recognized for its exceptional capabilities in code. {"payload":{"allShortcutsEnabled":false,"fileTree":{"WizardCoder":{"items":[{"name":"data","path":"WizardCoder/data","contentType":"directory"},{"name":"imgs","path. Koala face-off for my next comparison. 3, surpassing the open-source SOTA by approximately 20 points. Furthermore, our WizardLM-30B model surpasses StarCoder and OpenAI's code-cushman-001. 43. 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。. I appear to be stuck. The reproduced pass@1 result of StarCoder on the MBPP dataset is 43. The intent is to train a WizardLM. Flag Description--deepspeed: Enable the use of DeepSpeed ZeRO-3 for inference via the Transformers integration. starcoder. If you previously logged in with huggingface-cli login on your system the extension will read the token from disk. • WizardCoder. 🚀 Powered by llama. Truly usable local code generation model still is WizardCoder. Yes, it's just a preset that keeps the temperature very low and some other settings. Usage Terms:From. 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. Can a small 16B model called StarCoder from the open-source commu. 5 with 7B is on par with >15B code-generation models (CodeGen1-16B, CodeGen2-16B, StarCoder-15B), less than half the size. 3, surpassing. ダウンロードしたモ. galfaroi closed this as completed May 6, 2023. Building upon the strong foundation laid by StarCoder and CodeLlama, this model introduces a nuanced level of expertise through its ability to process and execute coding related tasks, setting it apart from other language models. Alternatively, you can raise an. 0 is an advanced model from the WizardLM series that focuses on code generation. 1. ; lib: The path to a shared library or one of. 0 model achieves the 57. 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. 0% vs. 2), with opt-out requests excluded. I am getting significantly worse results via ooba vs using transformers directly, given otherwise same set of parameters - i. 3: defog-sqlcoder: 64. 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. 35. Subsequently, we fine-tune the Code LLM, StarCoder, utilizing the newly created instruction-following training set. vLLM is a fast and easy-to-use library for LLM inference and serving. To stream the output, set stream=True:. The model uses Multi Query Attention, a context window of 8192 tokens, and was trained using the Fill-in-the-Middle objective on 1 trillion tokens. How did data curation contribute to model training. 48 MB GGML_ASSERT: ggml. However, most existing models are solely pre-trained on extensive raw code data without instruction fine-tuning. 0% and it gets an 88% with Reflexion, so open source models have a long way to go to catch up. GGUF is a new format introduced by the llama. StarCoderは、Hugging FaceとServiceNowによるコード生成AIサービスモデルです。 StarCoderとは? 使うには? オンラインデモ Visual Studio Code 感想は? StarCoderとは? Hugging FaceとServiceNowによるコード生成AIシステムです。 すでにGithub Copilotなど、プログラムをAIが支援するシステムがいくつか公開されています. 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. 在HumanEval Pass@1的评测上得分57. This involves tailoring the prompt to the domain of code-related instructions. --nvme-offload-dir NVME_OFFLOAD_DIR: DeepSpeed: Directory to use for ZeRO-3 NVME offloading. The readme lists gpt-2 which is starcoder base architecture, has anyone tried it yet? Does this work with Starcoder? The readme lists gpt-2 which is starcoder base architecture, has anyone tried it yet?. for text in llm ("AI is going. galfaroi commented May 6, 2023. However, most existing models are solely pre-trained on extensive raw code data without instruction fine-tuning. 5 and WizardCoder-15B in my evaluations so far At python, the 3B Replit outperforms the 13B meta python fine-tune. tynman • 12 hr. llama_init_from_gpt_params: error: failed to load model 'models/starcoder-13b-q4_1. Subsequently, we fine-tune the Code LLM, StarCoder, utilizing the newly created instruction-following training set. ago. In terms of requiring logical reasoning and difficult writing, WizardLM is superior. To date, only basic variants of round-to-nearest quantization (Yao et al. 3, surpassing the open-source SOTA by approximately 20 points. 0 & WizardLM-13B-V1. 0 license, with OpenRAIL-M clauses for. , 2022; Dettmers et al. StarCoderPlus is a fine-tuned version of StarCoderBase on 600B tokens from the English web dataset RedefinedWeb combined with StarCoderData from The Stack (v1. conversion. StarCoder using this comparison chart. Don't forget to also include the "--model_type" argument, followed by the appropriate value. 3 pass@1 on the HumanEval Benchmarks, which is 22. 5 (47%) and Google’s PaLM 2-S (37. Dude is 100% correct, I wish more people realized that these models can do amazing things including extremely complex code the only thing one has to do. Claim StarCoder and update features and information. The 15-billion parameter StarCoder LLM is one example of their ambitions. Make sure you have supplied HF API token. Subsequently, we fine-tune the Code LLM, StarCoder, utilizing the newly created instruction-following training set. This involves tailoring the prompt to the domain of code-related instructions. The framework uses emscripten project to build starcoder. StarCoder, SantaCoder). Hold on to your llamas' ears (gently), here's a model list dump: Pick yer size and type! Merged fp16 HF models are also available for 7B, 13B and 65B (33B Tim did himself. It is also supports metadata, and is designed to be extensible. 5B 🗂️Data pre-processing Data Resource The Stack De-duplication: 🍉Tokenizer Technology Byte-level Byte-Pair-Encoding (BBPE) SentencePiece Details we use the. StarCoder is trained with a large data set maintained by BigCode, and Wizardcoder is an Evol. This is WizardLM trained with a subset of the dataset - responses that contained alignment / moralizing were removed. 3 pass@1 on the HumanEval Benchmarks, which is 22. Furthermore, our WizardLM-30B model. MPT-7B-StoryWriter-65k+ is a model designed to read and write fictional stories with super long context lengths. Subsequently, we fine-tune the Code LLM, StarCoder, utilizing the newly created instruction-following training set. 31. Currently they can be used with: KoboldCpp, a powerful inference engine based on llama. Just earlier today I was reading a document supposedly leaked from inside Google that noted as one of its main points: . This involves tailoring the prompt to the domain of code-related instructions. Models; Datasets; Spaces; DocsSQLCoder is a 15B parameter model that slightly outperforms gpt-3. 6) in MBPP.