It was built by finetuning MPT-7B with a context length of 65k tokens on a filtered fiction subset of the books3 dataset. ; lib: The path to a shared library or one of. StarCoder is a transformer-based LLM capable of generating code from. WizardCoder is introduced, which empowers Code LLMs with complex instruction fine-tuning, by adapting the Evol-Instruct method to the domain of code, and surpasses all other open-source Code LLM by a substantial margin. GGUF offers numerous advantages over GGML, such as better tokenisation, and support for special tokens. ダウンロードしたモ. 0 model achieves the 57. e. Lastly, like HuggingChat, SafeCoder will introduce new state-of-the-art models over time, giving you a seamless. ago. I'm considering a Vicuna vs. Compare Code Llama vs. 3 points higher than the SOTA open-source Code LLMs. August 30, 2023. WizardCoder-15B-V1. CommitPack against other natural and synthetic code instructions (xP3x, Self-Instruct, OASST) on the 16B parameter StarCoder model, and achieve state-of-the-art. cpp?準備手順. . r/LocalLLaMA. 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. Von Werra noted that StarCoder can also understand and make code changes. 0 & WizardLM-13B-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. WizardLM/WizardCoder-Python-7B-V1. Subsequently, we fine-tune the Code LLM, StarCoder, utilizing the newly created instruction-following training set. However, most existing models are solely pre-trained. 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. 8k. bin, which is about 44. Unlike most LLMs released to the public, Wizard-Vicuna is an uncensored model with its alignment removed. 3 points higher than the SOTA open-source. vLLM is fast with: State-of-the-art serving throughput; Efficient management of attention key and value memory with PagedAttention; Continuous batching of incoming requestsWe’re on a journey to advance and democratize artificial intelligence through open source and open science. News 🔥 Our WizardCoder-15B-v1. The StarCoder models are 15. The following table clearly demonstrates that our WizardCoder exhibits a substantial performance advantage over all the open-source models. Thus, the license of WizardCoder will keep the same as StarCoder. Here is a demo for you. 8 vs. You signed out in another tab or window. NVIDIA / FasterTransformer Public. . When fine-tuned on a given schema, it also outperforms gpt-4. 5% Table 1: We use self-reported scores whenever available. arxiv: 2207. 8 vs. Image Credits: JuSun / Getty Images. BLACKBOX AI can help developers to: * Write better code * Improve their coding. 20. The WizardCoder-Guanaco-15B-V1. metallicamax • 6 mo. News 🔥 Our WizardCoder-15B-v1. This is because the replication approach differs slightly from what each quotes. WizardCoder: Empowering Code Large Language Models with Evol-Instruct Code Large Language Models (Code LLMs), such as StarCoder, have demonstrated exceptional performance in code-related tasks. This involves tailoring the prompt to the domain of code-related instructions. StarCoder 7B using the instruction tuning technique on each programming language corpus separately, and test the performance of each fine-tuned model across every programming language. ## NewsDownload Refact for VS Code or JetBrains. The framework uses emscripten project to build starcoder. This involves tailoring the prompt to the domain of code-related instructions. Additionally, WizardCoder. 3 points higher than the SOTA. Subsequently, we fine-tune the Code LLM, StarCoder, utilizing the newly created instruction-following training set. 5, Claude Instant 1 and PaLM 2 540B. 🔥 The following figure shows that our WizardCoder attains the third position in this benchmark, surpassing. 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. This involves tailoring the prompt to the domain of code-related instructions. ## NewsAnd potentially write part of the answer itself if it doesn't need assistance. 2) (excluding opt-out requests). 5-2. , 2023c). Articles. What Units WizardCoder AsideOne may surprise what makes WizardCoder’s efficiency on HumanEval so distinctive, particularly contemplating its comparatively compact measurement. 🔥 We released WizardCoder-15B-v1. It stands on the shoulders of the StarCoder model, undergoing extensive fine-tuning to cater specifically to SQL generation tasks. 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. Moreover, our Code LLM, WizardCoder, demonstrates exceptional performance, achieving a pass@1 score of 57. In an ideal world, we can converge onto a more robust benchmarking framework w/ many flavors of evaluation which new model builders can sync their model into at. ## Comparing WizardCoder with the Closed-Source Models. 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. 3 pass@1 on the HumanEval Benchmarks, which is 22. . 训练数据 ：Defog 在两个周期内对10,537个人工策划的问题进行了训练，这些问题基于10种不同的模式。. In terms of requiring logical reasoning and difficult writing, WizardLM is superior. GPT 3. In an ideal world, we can converge onto a more robust benchmarking framework w/ many flavors of evaluation which new model builders. I’m selling this, post which my budget allows me to choose between an RTX 4080 and a 7900 XTX. Learn more. 3, surpassing. I think the biggest. Multi query attention vs multi head attention. WizardCoder: Empowering Code Large Language. Pull requests 1. Acceleration vs exploration modes for using Copilot [Barke et. We refer the reader to the SantaCoder model page for full documentation about this model. 6) increase in MBPP. py). Code Large Language Models (Code LLMs), such as StarCoder, have demonstrated exceptional performance in code-related tasks. bin. , 2022) have been applied at the scale of GPT-175B; while this works well for low compressionThis is my experience for using it as a Java assistant: Startcoder was able to produce Java but is not good at reviewing. 5 and WizardCoder-15B in my evaluations so far At python, the 3B Replit outperforms the 13B meta python fine-tune. Sign up for free to join this conversation on GitHub . News. 46k. in the UW NLP group. --nvme-offload-dir NVME_OFFLOAD_DIR: DeepSpeed: Directory to use for ZeRO-3 NVME offloading. Our WizardCoder is also evaluated on the same data. Reminder that the biggest issue with Wizardcoder is the license, you are not allowed to use it for commercial applications which is surprising and make the model almost useless,. 35. 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. NOTE: The WizardLM-30B-V1. However, any GPTBigCode model variants should be able to reuse these (e. starcoder/15b/plus + wizardcoder/15b + codellama/7b + + starchat/15b/beta + wizardlm/7b + wizardlm/13b + wizardlm/30b. OpenLLM is an open-source platform designed to facilitate the deployment and operation of large language models (LLMs) in real-world applications. 8 vs. 🚀 Powered by llama. 0 Model Card The WizardCoder-Guanaco-15B-V1. WizardCoder-15B-v1. 8), please check the Notes. Before you can use the model go to hf. Additionally, WizardCoder significantly outperforms all the open-source Code LLMs with instructions fine-tuning, including. 0 model achieves the 57. You signed out in another tab or window. AMD 6900 XT, RTX 2060 12GB, RTX 3060 12GB, or RTX 3080 would do the trick. Text Generation • Updated Sep 9 • 19k • 666 WizardLM/WizardMath-13B-V1. 3 points higher than the SOTA. Initially, we utilize StarCoder 15B [11] as the foundation and proceed to fine-tune it using the code instruction-following training set. Find more here on how to install and run the extension with Code Llama. . 使用方法 ：用户可以通过 transformers 库使用. TGI implements many features, such as:1. Type: Llm: Login. Actions. You signed out in another tab or window. Wizard Vicuna scored 10/10 on all objective knowledge tests, according to ChatGPT-4, which liked its long and in-depth answers regarding states of matter, photosynthesis and quantum entanglement. Code. 53. co/settings/token) with this command: Cmd/Ctrl+Shift+P to open VSCode command palette. Our WizardCoder generates answers using greedy decoding. WizardCoder: EMPOWERING CODE LARGE LAN-GUAGE MODELS WITH EVOL-INSTRUCT Anonymous authors Paper under double-blind review. 0: starcoder: 45. Wizard LM quickly introduced WizardCoder 34B, a fine-tuned model based on Code Llama, boasting a pass rate of 73. To test Phind/Phind-CodeLlama-34B-v2 and/or WizardLM/WizardCoder-Python-34B-V1. Can you explain that？. The technical report outlines the efforts made to develop StarCoder and StarCoderBase, two 15. Try it out. The evaluation metric is [email protected] parameter models trained on 80+ programming languages from The Stack (v1. Moreover, our Code LLM, WizardCoder, demonstrates exceptional performance,. starcoder is good. 0, the Prompt should be as following: "A chat between a curious user and an artificial intelligence assistant. 0 model achieves the 57. 3 points higher than the SOTA open-source Code. 5% score. WizardCoder-15B-v1. Furthermore, our WizardLM-30B model surpasses StarCoder and OpenAI's code-cushman-001. Koala face-off for my next comparison. I am also looking for a decent 7B 8-16k context coding model. Originally posted by Nozshand: Traits work for sorcerer now, but many spells are missing in this game to justify picking wizard. Text. Join. Don't forget to also include the "--model_type" argument, followed by the appropriate value. ∗ Equal contribution. DeepSpeed. The code in this repo (what little there is of it) is Apache-2 licensed. 0 model achieves the 57. Text Generation Inference (TGI) is a toolkit for deploying and serving Large Language Models (LLMs). However, most existing models are solely pre-trained on extensive raw. wizardcoder 15B is starcoder based, it'll be wizardcoder 34B and phind 34B, which are codellama based, which is llama2 based. Guanaco is an LLM that uses a finetuning method called LoRA that was developed by Tim Dettmers et. 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. Immediately, you noticed that GitHub Copilot must use a very small model for it given the model response time and quality of generated code compared with WizardCoder. Combining Starcoder and Flash Attention 2. New model just dropped: WizardCoder-15B-v1. Our WizardMath-70B-V1. 44. jupyter. StarCoder is a 15B parameter LLM trained by BigCode, which. The memory is used to set the prompt, which makes the setting panel more tidy, according to some suggestion I found online: Hope this helps!Abstract: Code Large Language Models (Code LLMs), such as StarCoder, have demonstrated exceptional performance in code-related tasks. This involves tailoring the prompt to the domain of code-related instructions. In particular, it outperforms. 8 vs. 5). 2. Furthermore, our WizardLM-30B model surpasses StarCoder and OpenAI's code-cushman-001. 0 trained with 78k evolved. Running App Files Files Community 4Compared with WizardCoder which was the state-of-the-art Code LLM on the HumanEval benchmark, we can observe that PanGu-Coder2 outperforms WizardCoder by a percentage of 4. Args: model_path_or_repo_id: The path to a model file or directory or the name of a Hugging Face Hub model repo. To stream the output, set stream=True:. 3 points higher than the SOTA open-source. 44. However, since WizardCoder is trained with instructions, it is advisable to use the instruction formats. starcoder. Code Large Language Models (Code LLMs), such as StarCoder, have demonstrated exceptional performance in code-related tasks. It also generates comments that explain what it is doing. 8), please check the Notes. No matter what command I used, it still tried to download it. The Technology Innovation Institute (TII), an esteemed research. We observed that StarCoder matches or outperforms code-cushman-001 on many languages. 🤖 - Run LLMs on your laptop, entirely offline 👾 - Use models through the in-app Chat UI or an OpenAI compatible local server 📂 - Download any compatible model files from HuggingFace 🤗 repositories 🔭 - Discover new & noteworthy LLMs in the app's home page. 🔥 Our WizardCoder-15B-v1. 2023). You can find more information on the main website or follow Big Code on Twitter. For santacoder: Task: "def hello" -> generate 30 tokens. WizardCoder is best freely available, and seemingly can too be made better with Reflexion. StarCoder # Paper: A technical report about StarCoder. 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. 81k • 629. 6: gpt-3. 43. News 🔥 Our WizardCoder-15B-v1. -> ctranslate2 in int8, cuda -> 315ms per inference. 5-turbo for natural language to SQL generation tasks on our sql-eval framework, and significantly outperforms all popular open-source models. The openassistant-guanaco dataset was further trimmed to within 2 standard deviations of token size for input and output pairs and all non-english. However, most existing. You switched accounts on another tab or window. This is what I used: python -m santacoder_inference bigcode/starcoderbase --wbits 4 --groupsize 128 --load starcoderbase-GPTQ-4bit-128g/model. 0 & WizardLM-13B-V1. Results. Using the API with FauxPilot Plugin. 0% accuracy — StarCoder. 5B parameter models trained on 80+ programming languages from The Stack (v1. 1 is a language model that combines the strengths of the WizardCoder base model and the openassistant-guanaco dataset for finetuning. 3. Unprompted, WizardCoder can be used for code completion, similar to the base Starcoder. Remember, these changes might help you speed up your model's performance. 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. WizardCoder: Empowering Code Large Language. By utilizing a newly created instruction-following training set, WizardCoder has been tailored to provide unparalleled performance and accuracy when it comes to coding. gpt_bigcode code Eval Results Inference Endpoints text-generation-inference. 3 pass@1 on the HumanEval Benchmarks, which is 22. StarCoder using this comparison chart. " I made this issue request 2 weeks ago after their most recent update to the README. 53. Text-Generation-Inference is a solution build for deploying and serving Large Language Models (LLMs). Possibly better compute performance with its tensor cores. AI startup Hugging Face and ServiceNow Research, ServiceNow’s R&D division, have released StarCoder, a free alternative to code-generating AI systems along. 3, surpassing the open-source SOTA by approximately 20 points. Reload to refresh your session. Even more puzzled as to why no. Otherwise, please refer to Adding a New Model for instructions on how to implement support for your model. bin", model_type = "gpt2") print (llm ("AI is going to")). We've also added support for the StarCoder model that can be used for code completion, chat, and AI Toolbox functions including “Explain Code”, “Make Code Shorter”, and more. News 🔥 Our WizardCoder-15B-v1. To test Phind/Phind-CodeLlama-34B-v2 and/or WizardLM/WizardCoder-Python-34B-V1. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. 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. However, most existing models are solely pre-trained on extensive raw code data without instruction fine-tuning. Through comprehensive experiments on four prominent code generation. Introduction. You signed in with another tab or window. The world of coding has been revolutionized by the advent of large language models (LLMs) like GPT-4, StarCoder, and Code LLama. refactoring chat ai autocompletion devtools self-hosted developer-tools fine-tuning starchat llms starcoder wizardlm llama2 Resources. Starcoder itself isn't instruction tuned, and I have found to be very fiddly with prompts. It consists of 164 original programming problems, assessing language comprehension, algorithms, and simple. The WizardCoder-Guanaco-15B-V1. we observe a substantial improvement in pass@1 scores, with an increase of +22. 44. On the MBPP pass@1 test, phi-1 fared better, achieving a 55. 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. 3, surpassing the open-source SOTA by approximately 20 points. HuggingfaceとServiceNowが開発したStarCoderを紹介していきます。このモデルは、80以上のプログラミング言語でトレーニングされて155億パラメータを持つ大規模言語モデルです。1兆トークンでトレーニングされております。コンテキストウィンドウが8192トークンです。 今回は、Google Colabでの実装方法. 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. 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. News 🔥 Our WizardCoder-15B-v1. In the Model dropdown, choose the model you just downloaded: starcoder-GPTQ. What’s the difference between ChatGPT and StarCoder? Compare ChatGPT vs. 1. Two of the popular LLMs for coding—StarCoder (May 2023) and WizardCoder (Jun 2023) Compared to prior works, the problems reflect diverse,. 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. See full list on huggingface. StarCoderEx. Reload to refresh your session. 3: defog-sqlcoder: 64. 0 model achieves the 57. I remember the WizardLM team. 📙Paper: DeepSeek-Coder 📚Publisher: other 🏠Author Affiliation: DeepSeek-AI 🔑Public: 🌐Architecture Encoder-Decoder Decoder-Only 📏Model Size 1. 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. Guanaco achieves 99% ChatGPT performance on the Vicuna benchmark. License . 0) and Bard (59. ; model_file: The name of the model file in repo or directory. Vipitis mentioned this issue May 7, 2023. In this paper, we introduce WizardCoder, which empowers Code LLMs with complex. This question is a little less about Hugging Face itself and likely more about installation and the installation steps you took (and potentially your program's access to the cache file where the models are automatically downloaded to. 3 (57. StarCoder and StarCoderBase are Large Language Models for Code trained on GitHub data. Inoltre, WizardCoder supera significativamente tutti gli open-source Code LLMs con ottimizzazione delle istruzioni. In this paper, we introduce WizardCoder, which. You signed out in another tab or window. However, as some of you might have noticed, models trained coding for displayed some form of reasoning, at least that is what I noticed with StarCoder. Subscribe to the PRO plan to avoid getting rate limited in the free tier. Furthermore, our WizardLM-30B model surpasses StarCoder and OpenAI's code-cushman-001. However, most existing models are solely pre-trained on extensive raw code data without instruction fine-tuning. Notifications. 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. 3 points higher than the SOTA open-source. 7 is evaluated on. Q2. This trend also gradually stimulates the releases of MPT8, Falcon [21], StarCoder [12], Alpaca [22], Vicuna [23], and WizardLM [24], etc. 0 is a language model that combines the strengths of the WizardCoder base model and the openassistant-guanaco dataset for finetuning. 3 points higher than the SOTA. I'm puzzled as to why they do not allow commercial use for this one since the original starcoder model on which this is based on allows for it. Articles. 0 , the Prompt should be as following: "A chat between a curious user and an artificial intelligence assistant. They next use their freshly developed code instruction-following training set to fine-tune StarCoder and get their WizardCoder. The WizardCoder-Guanaco-15B-V1. A. That way you can have a whole army of LLM's that are each relatively small (let's say 30b, 65b) and can therefore inference super fast, and is better than a 1t model at very specific tasks. TheBloke Update README. , 2022; Dettmers et al. 0) and Bard (59. This involves tailoring the prompt to the domain of code-related instructions. WizardCoder. They’ve introduced “WizardCoder”, an evolved version of the open-source Code LLM, StarCoder, leveraging a unique code-specific instruction approach. 1. If you're using the GPTQ version, you'll want a strong GPU with at least 10 gigs of VRAM. Two open source models, WizardCoder 34B by Wizard LM and CodeLlama-34B by Phind, have been released in the last few days. They claimed to outperform existing open Large Language Models on programming benchmarks and match or surpass closed models (like CoPilot). News 🔥 Our WizardCoder-15B-v1. Code Large Language Models (Code LLMs), such as StarCoder, have demon-strated exceptional performance in code-related tasks. 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. Under Download custom model or LoRA, enter TheBloke/starcoder-GPTQ. 0%), that is human annotators even prefer the output of our model than ChatGPT on those hard questions. The model weights have a CC BY-SA 4. 1 contributor; History: 18 commits. Text Generation • Updated Sep 8 • 11. Furthermore, our WizardLM-30B model surpasses StarCoder and OpenAI's code-cushman-001. The model is truly great at code, but, it does come with a tradeoff though. 53. Some musings about this work: In this framework, Phind-v2 slightly outperforms their quoted number while WizardCoder underperforms. ) Apparently it's good - very good!About GGML. 「 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。. Previously huggingface-vscode. Project Starcoder programming from beginning to end. StarCoderBase Play with the model on the StarCoder Playground. For example, a user can use a text prompt such as ‘I want to fix the bug in this. 2), with opt-out requests excluded. 3 points higher than the SOTA open-source. """ if element < 2: return False if element == 2: return True if element % 2 == 0: return False for i in range (3, int (math. I love the idea of a character that uses Charisma for combat/casting (been. ; Make sure you have supplied HF API token ; Open Vscode Settings (cmd+,) & type: Llm: Config Template ; From the dropdown menu, choose Phind/Phind-CodeLlama-34B-v2 or. 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. It can be used by developers of all levels of experience, from beginners to experts. 0) and Bard (59. In this demo, the agent trains RandomForest on Titanic dataset and saves the ROC Curve. Supercharger I feel takes it to the next level with iterative coding. 8 vs. This is a repo I use to run human-eval on code models, adjust as needed. Compare Code Llama vs. Usage. Even though it is below WizardCoder and Phind-CodeLlama on the Big Code Models Leaderboard, it is the base model for both of them. 🔥 Our WizardCoder-15B-v1. starcoder_model_load: ggml ctx size = 28956. In the Model dropdown, choose the model you just downloaded: starcoder-GPTQ. Reload to refresh your session. Comparing WizardCoder with the Open-Source. Furthermore, our WizardLM-30B model surpasses StarCoder and OpenAI's code-cushman-001. TheBloke/Llama-2-13B-chat-GGML. Non-commercial. The TL;DR is that you can use and modify the model for any purpose – including commercial use. It is also supports metadata, and is designed to be extensible. WizardCoder is an LLM built on top of Code Llama by the WizardLM team. 3 and 59. Compare Code Llama vs. 22. However, most existing models are solely pre-trained on extensive raw code data without instruction fine-tuning. 🚂 State-of-the-art LLMs: Integrated support for a wide. The model will automatically load. Sorcerers know fewer spells, and their modifier is Charisma, rather than. What is this about? 💫 StarCoder is a language model (LM) trained on source code and natural language text. cpp team on August 21st 2023. StarCoder provides an AI pair programmer like Copilot with text-to-code and text-to-workflow capabilities. Claim StarCoder and update features and information. Text Generation Transformers PyTorch. Results on novel datasets not seen in training model perc_correct; gpt-4: 74. Our WizardCoder generates answers using greedy decoding and tests with the same <a href="tabindex=". 53. 0 use different prompt with Wizard-7B-V1. 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. 3 pass@1 on the HumanEval Benchmarks, which is 22. seems pretty likely you are running out of memory. I think we better define the request. 1. You switched accounts on another tab or window. TGI enables high-performance text generation using Tensor Parallelism and dynamic batching for the most popular open-source LLMs, including StarCoder, BLOOM, GPT-NeoX, Llama, and T5. Python. Approx 200GB/s more memory bandwidth. However, most existing. galfaroi changed the title minim hardware minimum hardware May 6, 2023. Bronze to Platinum Algorithms. Large Language Models for CODE: Code LLMs are getting real good at python code generation. News 🔥 Our WizardCoder-15B-v1. 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+.