They derive a contextual embedding by training a BERT model on source code. StarCoderPlus is a fine-tuned version of StarCoderBase on a mix of: The English web dataset RefinedWeb (1x) StarCoderData dataset from The Stack (v1. When optimized for a specific database schema, it performs better than gpt-4. Compare Code Llama vs. The model created as a part of the BigCode initiative is an improved version of the StarCode 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 lines of GitHub’s Copilot. One epoch constitutes about 300B tokens, such that the model was trained for more than 4 epochs. The StarCoderBase models are 15. . The StarCoder LLM is a 15 billion parameter model that has been trained on source code that was permissively licensed and. How did data curation contribute to model training. vscode. ugh, so I tried it again on StarCoder, and it worked well. 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. github","contentType":"directory"},{"name":". You switched accounts on another tab or window. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":". The v2 model is better than the old v1 model trained on a different data mixture. See moreStarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+. Projects. Recently (2023/05/04 – 2023/05/10), I stumbled upon news about StarCoder and was. vscode","path":". com',. 1B Chat v0. Training began on August 23, 2023, and took approximately 30 days to complete. </p> <p dir=\"auto\">We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as <code>code-cushman-001</code> from OpenAI (the original Codex model that po. Enterprise workflows company ServiceNow and Hugging Face, an ML tools developer, have developed an open source large language generative AI model for coding. galfaroi changed the title minim hardware minimum hardware May 6, 2023. — May 4, 2023 — ServiceNow (NYSE: NOW), the leading digital workflow company making the world work better for everyone, today announced the release of one of the world’s most responsibly developed and strongest‑performing open‑access large language model (LLM) for code generation. github","contentType":"directory"},{"name":". First, write some test code that handles any exception by logging the qualified name of the exception type. 1B-Chat-v0. You can specify base_model, input_data_path and output_data_path in srcinference_wizardcoder. StarCoder简介. Typically, a file containing a set of DNA sequences is passed as input, jointly with. ”. The model uses Multi Query Attention, a context. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs 🚀🚀. Governance Card: A card outlining the governance of the model. jsonl) as train_dataset. However, my computer need a proxy to connect S3 server (because of the GFW): requests. Like CodeGen2, this model is capable of infilling, and supports multiple programming languages. Let me help you break it down: This LLM is derived from the 15B parameter… Detect Pre-Process . StarCoder License Agreement: The model is licensed under the BigCode OpenRAIL-M v1 license agreement. - Proprietary large language models lack transparency, prompting the need for an open source alternative. Use Intended use The model was trained on GitHub code, to assist with some tasks like Assisted Generation. The model uses Multi. The code is as follows. Even with a tiny dataset of 10 lines, it has been stuck for 15 minutes already at this message:starcoder. 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. 2. Try it here: shorturl. The StarCoder LLM is a 15 billion parameter model that has been trained on source code that was permissively. . The lines in the left plot are a linear fit between pass@1 and log. 1B Llama model on 3 trillion tokens. . I need to know how to use <filename>, <fim_*> and other special tokens listed in tokenizer special_tokens_map when preparing the dataset. Image from StartCoder Code Completion . 21万亿的tokens降低到6270亿的tokens。. StableLM-3B-4E1T Model Description StableLM-3B-4E1T is a 3 billion parameter decoder-only language model pre-trained on 1 trillion tokens of diverse English and code datasets for 4 epochs. Starcounter AB was established and started its development of Starcounter in 2006. 5亿、20亿、60亿和160亿。. 📙Paper: StarCoder may the source be with you 📚Publisher: Arxiv 🏠Author Affiliation: Hugging Face 🔑Public: 🌐Architecture Encoder-Decoder Decoder-Only 📏Model Size 15. Step by step installation with condaStarCoderData: Pretraining dataset of StarCoder. Pretraining Tokens: During pretraining, StarCoder processed a staggering 236 billion tokens, allowing it to. I am attempting to finetune the model using the command provided in the README. This highlights the inherent risk of sending confidential data, for instance code, to Conversational AI providers that train on users’ inputs, as the weights could memorize the data by heart, and other users can then extract it through prompting. 6k) Model Pruning is a technique for eliminating unnecessary weight parameters to reduce model size while maintaining accuracy. The team then further trained StarCoderBase for 34 billion tokens on the Python subset of the dataset to create a second LLM called StarCoder. SANTA CLARA, Calif. SQLCoder is a 15B parameter model that outperforms gpt-3. py","path":"finetune/finetune. We achieve this through transparency, external validation, and supporting academic institutions through collaboration and sponsorship. A comprehensive research article on StarCoder technology that helps you understand its core features, benefits, and challenges. The model will automatically load. They outperform existing open Code LLMs on programming benchmarks and match or surpass closed models (like CoPilot). No description provided. Teams. The StarCoder Model is a cutting-edge large language model designed specifically for code-related tasks. Governance Card: A card outlining the governance of the model. It is written in simple and easy to understand language. Please checkout the Model Weights, and Paper. The training has started on 2023-09-01. There are also internal chatbots to be used to train new people joining the company and several other use cases. It's a 15. We create a function that calls the OpenAI API. 🔥 [08/11/2023] We release WizardMath Models. 1k followers. None yet. Open. Once it's finished it will say "Done". Once it's finished it will say "Done". For more details, see here. But the default code did not work be. 4T tokens, achieving competitive results compared to StarCoderBase-15. Upload images, audio, and videos by dragging in the text input, pasting, or clicking here. They called it CuBERT, short for Code Understanding BERT. 🔥 Our WizardCoder-15B-v1. 2 vs. ## Pretrain TinyLlama ### Installation We expect you have CUDA 11. to join this conversation on GitHub . 与LLaMA类似，我们为1万亿个代币训练了一个~15B的参数模型。. Here the config. Claim StarCoder and update features and information. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. Step 2: Modify the finetune examples to load in your dataset. The model's size is such that it may be executed in 16-bit floats on a single A100-40GB or an 8-bit. StarCoderData：StarCoder的预训练数据集。 技术助手提示：通过此提示，您可以将StarCoder变成技术助手。 治理卡：概述模型治理的卡。 StarCoder 许可协议：该模型根据 BigCode OpenRAIL-M v1 许可协议进行许可。 StarCoder 搜索：预训练数据集中的全文搜索. 💫 StarCoder is a language model (LM) trained on source code and natural language text. github","contentType":"directory"},{"name":". Then take the type out of the log and use that in your real code. Please process the train set and test set into a jsonl format, with each line containing {"text": data} OpenLLaMA: An Open Reproduction of LLaMA. Some Observations. BigCode was originally announced in September 2022 as an effort to build out an open community around code generation tools for AI. . 3 points higher than the SOTA open-source Code LLMs. # 11 opened 7 months ago by. Recently, Meta released Llama 2, an open-access model with a license that allows commercial use. Sign in to comment. 5 billion parameters and an extended context length of 8,000 tokens, it excels in various coding tasks, such as code completion, modification, and explanation. Introduction BigCode. 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. 2. vscode. 2，这是一个收集自GitHub的包含很多代码的数据集。. Led. A 15. Sign up for free to join this conversation on GitHub . 在去除标点符号、空白符号、换行符和制表符之后，将短于200个. BigCode is a Hugging Face and ServiceNow-led open scientific cooperation focusing on creating huge programming language models ethically. ConnectionError: HTTPSConnectionPool(host='s3. StarCoder outperforms OpenAI's code-cushman-001 and all open code generation models on HumanEval. # Stablecode Completion Alpha 3B 4K - GGML - Model creator: [StabilityAI](- Original model: [Stablecode Completion Alpha 3B 4K. SQLCoder has been fine-tuned on hand-crafted SQL queries in increasing orders of difficulty. <a href="…BigCode BigCode is an open scientific collaboration working on responsible training of large language models for coding applications. The training has started on 2023-09-01. InternLM/InternLM (☆3. It was trained on the Python data from StarCoderData for ~6 epochs which amounts to 100B tokens. SQLCoder is fine-tuned on a base StarCoder model. Finally, install bitsandbytes and wandb. SANTA CLARA, Calif. Adaptive Genius: Don’t. Learn more about TeamsXGen-7B Technical Report Erik Nijkamp∗, Tian Xie ∗, Hiroaki Hayashi , Bo Pang ∗, Congying Xia , Chen Xing Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu Wojciech Kry´sci nski, Lidiya Murakhovs’ka, Prafulla Kumar Choubey, Alex Fabbri´IntelliJ plugin for StarCoder AI code completion via Hugging Face API. 2), with opt-out requests excluded. StarChat Playground . galfaroi commented May 6, 2023. 69 GiB. 5. 5B parameter models with 8K context length, infilling capabilities and fast large-batch inference enabled by multi-query. The new code generator, built in partnership with ServiceNow Research, offers an alternative to GitHub Copilot, an early example of Microsoft’s strategy to enhance as much of its portfolio with generative AI as possible. For advanced Code Language Models and pre-training datasets we recommend checking our work in the BigCode organization. Both are also focused on radically more powerful tools for our creators–artists and programmers. The BigCode Project aims to foster open development and responsible practices in building large language models for code. However, there is still a need for improvement in code translation functionality with efficient training techniques. Getting started . Usage The model is intended to do single/multiline code completion from a long context window upto 4k. 5B parameters and an extended context length. 5-mono is indeed very good at python for a 7B model but the codegen2-1B does incredibly well for 1/7th the size. Training should take around 45 minutes: torchrun --nproc_per_node=8 train. StarCoder License Agreement: The model is licensed under the BigCode OpenRAIL-M v1 license agreement. Extensive benchmark testing has demonstrated that StarCoderBase outperforms other open Code LLMs and rivals closed models like OpenAI’s code-Cushman-001, which powered early versions of GitHub Copilot. 2 participants. From beginner-level python tutorials to complex algorithms for the USA Computer Olympiad (USACO). It can process larger input than any other free. Create a new conda environment and activate it. This memorization issue is the reason. ServiceNow Inc. data file. github","path":". StarCoder. The LM Studio cross platform desktop app allows you to download and run any ggml-compatible model from Hugging Face, and provides a simple yet powerful model configuration and inferencing UI. Tech Assistant Prompt: With this prompt you can turn StarCoder into tech assistant. • 18 days ago. It's important for deploying in resource-limited environments like mobile devices. SANTA CLARA, Calif. Use Intended use The model was trained on GitHub code, to assist with some tasks like Assisted Generation. and Hugging Face Inc. Large Language Models for Code (Code LLMs) StarCoder and StarCoderBase were developed with the help of GitHub's openly licensed data, which includes 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. But while. StarCoderData: Pretraining dataset of StarCoder. StarCoderData: Pretraining dataset of StarCoder. By the time this blog post is written, three of the largest causal language models with open-source licenses are MPT-30B by MosaicML, XGen by Salesforce and Falcon by TII UAE, available completely open on Hugging Face Hub. The StarCoder models are 15. 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 programming. 需要注意的是，这个模型不是一个指令. comOpen-source model StarCoder generates code in 86 programming languages. News Model Summary. vscode. 可以支持starcoder-15b架构的微调吗（包括sqlcoder）. Tech Assistant Prompt: With this prompt you can turn StarCoder into tech assistant. Describe the bug I haven't used it for some time and decided to update the image and give it a shot. 0 model achieves the 57. Tech Assistant Prompt: With this prompt you can turn StarCoder into tech assistant. Entire portions of the method are included, and the overlap break (gray to blue) happens at the fix location. We trained the model on StarCoderData, a programming language dataset developed by BigCode [10]. What is StarCoder? Hugging Face and ServiceNow release a free code-generating modelIntroducing: 💫 StarCoder StarCoder is a 15B LLM for code with 8k context and trained only on permissive data in 80+ programming languages. Tech Assistant Prompt: With this prompt you can turn StarCoder into tech assistant. Pretraining Tokens: During pretraining, StarCoder processed a staggering 236 billion tokens, allowing it to. 2), with opt-out requests excluded. ai has released SQLCoder, a cutting-edge model for translating inquiries in natural language into database queries. vscode","path":". Technical Assistance: By prompting the models with a series of dialogues, they can function as a technical assistant. try: code_that_raises () except Exception as e: print (type (e), type (e). StarCoderData: Pretraining dataset of StarCoder. txt. pipeline ( "text. Need your advice. About BigCode BigCode is an starting up scientific collaboration led collectively by Hugging Face and ServiceNow that works on the responsible style of huge language objects for code. For more details, see here. In particular CodeParrot is a GPT-2 model trained to generate Python code. May I ask if there are plans to provide 8-bit or. Use long strings for best results. vscode. SANTA CLARA, Calif. Phind-CodeLlama-34B-v1 is an impressive open-source coding language model that builds upon the foundation of CodeLlama-34B. import evaluate evaluate. I already showed them to work with dynamic shapes (using a lot of graphs), and they add a big speedup for. TinyLlama-1. 0 trained with 78k evolved code instructions. 2，这是一个收集自GitHub的包含很多代码的数据集。. vscode","path":". Tired of Out of Memory (OOM) errors while trying to train large models?{"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"StarCoderApp","path":"StarCoderApp","contentType":"directory"},{"name":"assets","path. will create a GnuRadio prefix at ~/. Building upon CodeGen2, the model is trained on StarCoderData for 1. py script, first create a Python virtual environment using e. Step 2: Parsing the dependencies of files within the same repository to rearrange the file positions based on their dependencies. Today, the WizardLM Team has released their Official WizardCoder-15B-V1. Click Download. github","path":". It includes 54GB of GitHub Issues + 13GB Jupyter notebooks in script and text-code pairs, as well as 32GB of GitHub commits, equivalent to around 250 billion tokens. Replace a commonly used requirement in the programming task with a less Open-source model StarCoder generates code in 86 programming languages. Unlike traditional coding education, StarCoder's LLM program incorporates cutting-edge techniques such as multi-query attention & a large context window of 8192 tokens. StarCoder License Agreement: The model is licensed under the BigCode OpenRAIL-M v1 license agreement. Catch me if you can! How to beat GPT-4 with a 13B model. We perform the most comprehensive evaluation of Code LLMs to date and show that StarCoderBase outperforms. buffer. 8 million in funding from a VC round led by Industrifonden in 2015 to. 2) dataset, using a GPT-2 architecture with multi-query attention and Fill-in-the-Middle objective. StarCoderPlus is a fine-tuned version of StarCoderBase on 600B tokens from the English web dataset RedefinedWeb combined with StarCoderData from The Stack (v1. Reload to refresh your session. GitHub: All you need to know about using or fine-tuning StarCoder. Here is the code - import torch from datasets import load_dataset from transformers importStarCoderData: Pretraining dataset of StarCoder. Note: The above table conducts a comprehensive comparison of our WizardCoder with other models on the HumanEval and MBPP benchmarks. Stablecode Completion Alpha 3B 4K - GGML Model creator: StabilityAI Original model: Stablecode Completion Alpha 3B 4K Description This repo contains GPT-NeoX GGML format model files for StabilityAI's Stablecode Completion Alpha 3B 4K. Code. , 2023) have demonstrated remarkable performance in code generation. Install datasets, accelerate and huggingface_hub. 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’re back with part 2 of our understanding LLMs series. While the finetuning data is exclusively Python, the model retains its ability in many other languages such as C or Java. Three years ago, I would never have believed that I'd visit cities and connect in-person with people I met online. vscode","path":". code from datasets import load_dataset dataset = load_dataset('oscar', 'unshuffled_deduplicated_it') bug report. Hi, you just need to change the input text, and use the content of your code files as is instead of the instruction format here. Vipitis mentioned this issue May 7, 2023. 3 pass@1 on the HumanEval Benchmarks, which is 22. vscode. Under Download custom model or LoRA, enter TheBloke/WizardCoder-15B-1. Conda: Comparing WizardCoder-Python-34B-V1. 6% of bytes, slimming down the dataset from 1210B to 627B tokens. dataset_loader import DatasetLoader from . 5. 5-turbo for natural language to SQL generation tasks on our sql-eval framework, and significantly outperforms all popular open-source models. at/cYZ06r Release thread 🧵Model Summary. txt" ) # or dataset = load_dataset ( "text", data_files= [ "data. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs 🚀🚀. Please checkout the Model Weights, and Paper. This blog will provide a simple overview of the process of fine tuning Large Language Models (LLMs) with Enterprise data to help it produce tailored HANA SQL statements. Picture by Writer The StarCoder is a cutting-edge massive language mannequin designed particularly for code. Claim StarCoder and update features and information. This is the dataset used for training StarCoder and StarCoderBase. We provide PyTorch and JAX weights of pre-trained OpenLLaMA models, as well as evaluation results and comparison against the original LLaMA models. We believe SlimPajama offers the highest quality and most compute efficient data to train on for runs. News. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. 8/code. . Defog. You buffer should get. Contact Danish directly. Pretraining Steps: StarCoder underwent 600K pretraining steps to acquire its vast code generation capabilities. Governance Card: A card outlining the governance of the model. yaml file specifies all the parameters associated with the dataset, model, and training - you can configure it here to adapt the training to a new dataset. 5B parameters and an extended context length of 8K, it excels in infilling capabilities and facilitates fast large-batch inference through multi-query attention. Connect and share knowledge within a single location that is structured and easy to search. 21万亿的tokens降低到6270亿的tokens。. py config. It has the innate ability to sniff out errors, redundancies, and inefficiencies. github","path":". StarCoder is essentially a generator that combines autoencoder and graph-convolutional mechanisms with the open set of neural architectures to build end-to-end models of entity-relationship schemas. ⚠️This is an Experimental Project and might not run in all the browsers. 1B. CodeGen2. Pipelines leverage LLMs and are at the core of. The training has started on 2023-09-01. 我们针对35B Python令牌对StarCoderBase模型. Currently I am making a living by helping companies built chatbots fine tuned on their custom data. vscode","path":". ROOTS uses heavily deduplicated and filtered data from Common Crawl, GitHub Code, and other crowdsourced initiatives. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"chat","path":"chat","contentType":"directory"},{"name":"finetune","path":"finetune. 67. Architecture: StarCoder is built upon the GPT-2 model, utilizing multi-query attention and the Fill-in-the-Middle objective. 1st time in Star Coder:" can you a Rust function that will add two integers and return the result, and another function that will subtract two integers and return the result?The StarCoder models are 15. 0 trained with 78k evolved code instructions. I've been successfully able to finetune Starcoder on my own code, but I haven't specially prepared. 5B parameter models trained on 80+ programming languages from The Stack (v1. It is not just one model, but rather a collection of models, making it an interesting project worth introducing. StarCoderData: Pretraining dataset of StarCoder. In the top left, click the refresh icon next to Model. It assumes a typed Entity-relationship model specified in human-readable JSON conventions. The companies claim. The list of supported products was determined by dependencies defined in the plugin. Its training data incorporates more that 80 different programming languages as well as text extracted from GitHub issues and commits and from notebooks. 2) and a Wikipedia dataset. News. We adhere to the approach outlined in previous studies by generating 20 samples for each problem to estimate the pass@1 score and evaluate with the same. Usage The model is intended to do single/multiline code completion. and Hugging Face Inc. StarCoderData: Pretraining dataset of StarCoder. 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. txt" ]) Windows just seems to get stuck. Pretraining Steps: StarCoder underwent 600K pretraining steps to acquire its vast code generation capabilities. graph import StellarGraph,. ” 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. In the Model dropdown, choose the model you just downloaded: WizardCoder-15B-1. StarCoderData: StarCoder 的预训练数据集。 Tech Assistant Prompt: 使用该提示，你可以将 StarCoder 变成技术助理。 Governance Card: 有关模型治理的卡片。 StarCoder License Agreement: 该模型基于 BigCode OpenRAIL-M v1 许可协议。 StarCoder Search: 对预训练数据集中的代码进行全文搜索。{"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":". org. In the top left, click the refresh icon next to Model. StarCoder（150 亿参数）是 Hugging Face 联合 ServiceNow 发布的免费大型语言模型，该模型经过训练主要用途是可以生成代码，目的是为了对抗 GitHWe’re on a journey to advance and democratize artificial intelligence through open source and open science. Converts all keys in a checkpoint from from_index format to the other format. StarCoder大模型详细介绍. We provide PyTorch and JAX weights of pre-trained OpenLLaMA models, as well as evaluation results and comparison against the original LLaMA models. It emphasizes open data, model weights availability, opt-out tools, and reproducibility to address issues seen in closed models, ensuring transparency and ethical usage. By adopting intuitive JSON for all I/O, and using reconstruction loss as the objective, it allows researchers from other. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":". JetBrains Client — build 212. The TinyLlama project aims to pretrain a 1. PyCharm Professional — 2021. . 5B parameter Language Model trained on English and 80+ programming languages. Poro is a 34B parameter decoder-only transformer pretrained on Finnish, English and code. 5B parameter model trained on 80+ programming languages from The Stack (v1. Large Language Models for Code (Code LLMs) StarCoder and StarCoderBase were developed with the help of GitHub's openly licensed data, which includes 80+ programming languages, Git commits,. from transformers import AutoModelForCausalLM, AutoTokenizer. 5. 5 billion parameters and an extended context length of 8,000 tokens, it excels in various coding tasks, such as code completion, modification, and explanation. xml. The team says it has only used permissible data. These techniques enhance code understanding, generation & completion, enabling developers to tackle complex coding tasks more effectively. 「StarCoderBase」は15Bパラメータモデルを1兆トークンで学習. As discussed in the previous tutorial, auto_wrap_policy is one of the FSDP features that make it easy to automatically shard a given model and put the model, optimizer and gradient shards into distinct FSDP units. Summary. Both projects are academic and industry collaborations. This user manual of StarCode is for version 1. Phind-CodeLlama-34B-v1. 8 installed. It received $1. Saved searches Use saved searches to filter your results more quickly@jlamypoirier Thanks for great investigation. Introduction BigCode. StarCoderData: Pretraining dataset of StarCoder. StarCoder # Paper: A technical report about StarCoder. #14. 2) and a Wikipedia dataset. This tech report describes the progress of the collaboration until December 2022, outlining the current state of the Personally Identifiable Information (PII) redaction pipeline, the experiments conducted to. 2 — 2023. StarCoder is an enhanced version of the StarCoderBase model, specifically trained on an astounding 35 billion Python tokens. It is written in Python and. . Step 1: concatenate your code into a single file. 6TB multilingual dataset curated from text sourced in 59 languages. Starcode that you can use on robloks to support sebeeHow to use. More information: Features: AI code completion. module "rouge" doesn't exist on the hugging face hub either Any suggestion?CodeGen2. 573 verified: false --- This is the Full-Weight of WizardCoder.