The model. Suleyman said Inflection-2 outperformed the largest, 70 billion parameter version of LLaMA 2, Elon Musk’s xAI startup’s Grok-1, Google’s PaLM 2. However, as of now, Code Llama doesn’t offer plugins or extensions, which might limit its extensibility compared to GPT-4. 2 trillion tokens) dataset that was carefully filtered for quality. New Llama-2 model. deepseek-coder-6. cpp differs from running it on the GPU in terms of performance and. We introduce Vicuna-13B, an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Chinchilla AI. Code Llama includes three versions with different. Image Credit: Meta AI. This demo was run on hardware with a T4 GPU onboard. Free for commercial use!LLaMA Overview. LLaMA is not a chatbot but a research tool that can. The 70B version uses Grouped-Query Attention (GQA) for improved inference scalability. I. The company is today unveiling LLaMA 2, its first large language model that’s available for anyone to use—for free. Illustration: Nick Barclay / The Verge. Code Llama includes three versions with different sizes and specialized capabilities. The below visualization depicts the foundational. Limited auditing for flaws and biases so far. OpenAI used to do that, until backtracking because it was ‘just not wise’. This new coding model is. cpp. New Llama-2 model. This groundbreaking experiment sets. AI development and efficiency while boosting security for production AI, from proprietary LLMs to open models such as Code Llama, Falcon,. Running LLaMA on Windows. Published via Towards AI. Code Llama reaches state-of-the-art performance among open models on several code benchmarks, with scores of up to 53% and 55% on HumanEval and MBPP, respectively. cpp, I wanted something super simple, minimal, and educational so I chose to hard-code the Llama 2 architecture and just roll one inference file of pure C with no dependencies. 1:34. We provide multiple flavors to cover a wide range of applications: foundation. Description. NGC | Catalog. Perplexity announced improvements to AI-powered search with Copilot utilizing a fine-tuned GPT-3. Meta Platforms Inc. Code Llama is a large language model capable of using text prompts to generate computer code. “Code Llama has the potential to be used as a. launched a new artificial intelligence coding tool in the social media company’s latest bid to compete with Microsoft Corp. Meta released Llama in different sizes (based on parameters), i. It is designed to enhance productivity and serve as an educational tool, helping programmers create robust and. In short, the response from the community has been staggering. Just weeks after introducing the open-source large language model (LLM) Llama 2 , Meta. META released a set of models, foundation and chat-based using RLHF. Chinchilla AI. Andrej Karpathy has launched Baby Llama as a simplified version of the Llama 2 model. Meta says it undertook extensive safety testing. Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/llama-2-7B-Arguments-GGUF llama-2-7b-arguments. First, Llama 2 is open access — meaning it is not closed behind an API and it's licensing allows almost anyone to use it and fine-tune new models on top of it. Code Llama, a model released just yesterday by Meta, looks very impressive! 100,000 token context window and only 34B Paras’s. Integration with Text Generation Inference for. As of the time of writing this article, you can run Lit-LLaMA on GPUs with 8 GB of memory 🤯. Manage code changes Issues. Meta has released Code Llama under the same community license as Llama 2, citing the mega-corporation's belief in "an open approach to AI" as the best way to develop tools that are innovative, safe, and responsible. It can generate code and natural language about code, from both code and natural language prompts (e. OpenLLM: An actively. The Code Llama models constitute foundation models for code generation. 4T tokens. A suitable GPU example for this model is the RTX 3060, which offers a 8GB VRAM version. 6$/1h). Code Llama. Model Architecture: Llama 2 is an auto-regressive language optimized transformer. It consists of a collection of cutting-edge foundation language models, ranging from 7B to 65B parameters. To compete with OpenAI’s ChatGPT, it launched Llama, and then. New: Code Llama support! ai self-hosted openai llama gpt gpt-4 llm chatgpt llamacpp llama-cpp gpt4all localai llama2 llama-2 code-llama codellama Updated. Now Meta is here to open source Code Llama. This guide provides a step-by-step process on how to clone the repo, create a new virtual environment, and install the necessary packages. TLDR Llama 2 ist ein neues Sprachmodell von Meta AI mit einem eigenen Chatbot der nicht schädliche Inhalte erzeugt Das Llama 2-Sprachmodell verfügt über zwei. Our latest version of Llama is now accessible to individuals, creators, researchers and businesses of all sizes so that they can experiment, innovate and scale their ideas responsibly. The dataset consists of 500B tokens during the initial phase,. According to Meta's blog post, Code Llama is designed to speed up workflows and make coding easier for beginners. If you want to check out the LLaMA-Adapter method, you can find the original implementation on top of the GPL-licensed LLaMA. For example, organizations can work with Llama 2 at IBM and VMware to train their own model with their proprietary company data. . Llama 2 family of models. Lit-LLaMA is:Azure ML now supports additional open source foundation models, including Llama, Code Llama, Mistral 7B, Stable Diffusion, Whisper V3, BLIP, CLIP, Flacon and NVIDIA Nemotron. Meta says that by leveraging its models like Code Llama, the whole. Like other large language models, LLaMA works by taking a sequence of words as an input and predicts a next word to recursively generate text. 感谢原子回声AtomEcho团队的技术和资源支持！ 感谢 @xzsGenius 对Llama2中文社区的贡献！ 感谢 @Z Potentials社区对Llama2中文社区的支持！ 🤔 问题反馈Here are guides on using llama-cpp-python and ctransformers with LangChain: LangChain + llama-cpp-python; LangChain + ctransformers; Discord For further support, and discussions on these models and AI in general, join us at: TheBloke AI's Discord server. LLaMA-33B and LLaMA-65B were trained on 1. Whether tasked with poetry or prose, GPT-4 delivers with a flair that evokes the craftsmanship of a seasoned writer. This week, Meta AI Research released LLaMA — Large Language Model Meta AI — a new state-of-the-art language model designed to help researchers advance their work in this subfield of AI. Llama 2 was trained on 40% more data. This, along with a community effort to quantise the weights, allowed the model to run on a large range of hardware. It’s free for research and commercial use. Test out Code Llama now. Plan and track work. 100% private, with no data leaving your device. We created an index. For those interested in learning how to install Llama 2 locally, the video below kindly created by Alex Ziskind provides a step-by-step video guide. This is the repository for the base 13B version in the Hugging Face Transformers format. Collaborate outside of. The buzz in tech these last few weeks has been focused squarely on the language models developed and deployed by the likes of. Below you can find and download LLama 2 specialized versions of these models, known as Llama-2-Chat, tailored for dialogue scenarios. Meta Platforms Inc. The Llama2 family models, on which Code Llama is based, were trained using bfloat16, but the original inference uses float16. Code Llama is an AI model that is built on top of Meta’s Llama 2. flexflow: Touting faster performance compared to vllm. LocalAI: A feature-rich choice that even supports image generation. Llama Code – Python is a dialect-specific derivative of Llama, honed further on 100B tokens of Python code. While they are small, the LLaMA models are powerful. Llama is the Meta-AI (Facebook) Large Language model that has now been open-sourced. Code Llamaを使用するには、これまでのLlama 2のようにウェブのチャットサービスを使うほか、ローカルにセットアップして使用します。 ウェブサイトでは、「PERPLEXITY LABS」や「Code Llama Playground」など、Code Llamaを用いた生成AIサービスが公開されています。 In a nutshell, LLaMa is important because it allows you to run large language models (LLM) like GPT-3 on commodity hardware. RMSNorm normalizing function is used to improve the training stability, by normalizing the input of. The new AI model is built on top of Meta's latest Llama 2 language model and will be available in different configurations, the company said, as it gears up to compete with Microsoft's code. We’ve seen a lot of momentum and innovation, with more than 30 million downloads of Llama-based models through. py --wbits 4 --groupsize 128 --model_type LLaMA --xformers --chat. Write better code with AI Code review. To train our model, we chose text from the 20 languages with. LLaMA is a large language model trained by Meta. Listen to this story. Meta has unveiled Code Llama, a state-of-the-art large language model (LLM) that generates code from text prompts, as reported on their blog. org and. Catalog Models AI Foundation Models Code Llama 34B. Code Llama について 特徴. LLaMA에 대한 접근. It’s been roughly seven months since we released Llama 1 and only a few months since Llama 2 was introduced, followed by the release of Code Llama. Add local memory to Llama 2 for private conversations. Installation will fail if a C++ compiler cannot be located. ai // Code Interpreter. The AI assistant can handle up to 100,000 tokens of context, significantly more than typical large language models. ai team! Thanks to Clay from. Code Llama is a code-specialized version of Llama 2, which was created by further training. Q4_K_M. The tuned versions use. I. About. With its new large language model Llama 2, Meta positions itself as an open-source alternative to OpenAI. When Meta released Llama 2, a powerful artificial intelligence model similar to the one behind ChatGPT, last month, it made it possible for developers, startups, and. Quantisations will be coming shortly. A particularly intriguing feature of LLaMA 2 is its employment of Ghost Attention (GAtt). Search web. Plan and track work Discussions. Last week Meta released Code Llama — a fine-tuned version of the open-source Llama 2. Discover Llama 2 models in AzureML’s model catalog. Thanks, and how to contribute Thanks to the chirper. It is a code-specialized version of Llama 2, which is a general-purpose LLM. Simply download, extract, and run the llama-for-kobold. ” Our starting point is LLaMA, which is the leading suite of open base models for two reasons: First, LLaMA was trained on a very large (1. Llama 2 was trained on 40% more data than Llama 1, and has double the context length. Write better code with AI Code review. cpp" that can run Meta's new GPT-3-class AI large language model. For those eager to test out Code Llama, the good news is that it is now available via the Perplexity AI Labs website. Our fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cases. gguf --local-dir . Q4_K_M. Code Llama isn't just another addition to the AI toolkit; it's a foundational model specifically designed for code generation. The chat models have further benefited from training on more than 1 million fresh human annotations. I selected the recently released free almost-open-source Llama 2 70B Chat model from Meta and gave it the prompt “Generate a Python program to scrape a. Code Llama — Instruct ️ fine-tuned. This "taints" any other code and prevents integration with the rest of the ecosystem. All models are trained with a batch size of 4M tokens. Save the repetitive work of community and we work together to create more and faster increment. cpp compatible models with any OpenAI compatible client (language libraries, services, etc). It was fine-tuned from LLaMA 7B model, the leaked large language model from. If you happen to like the new header image as much as I do, be sure to check out their AI newsletter and their tweets about us. Plan and track work Discussions. This could aid bug detection, documentation, and navigating large legacy codebases. To install the server package and get started: pip install llama-cpp-python [ server] python3 -m llama_cpp. LLaMA (Large Language Model Meta AI) is a state-of-the-art foundational large language model designed to help researchers advance their work in the subfield of AI. Meta is back with a version of its Llama LLM trained. The LLaMA model was proposed in LLaMA: Open and Efficient Foundation Language Models by Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, Guillaume. Yeah. We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B parameters. An API which mocks llama. Mark Zuckerberg just made Meta’s A. That's a pretty big deal, and it could blow the whole. 2 trillion token fully-open dataset created by following the recipe described in the LLaMA paper. Microsoft made everyone a developer with Copilot built on OpenAI's Codex. llama. For the first version of LLaMA, four model sizes were trained: 7, 13, 33 and 65 billion parameters. Llama 2, an open-source AI framework, has upended the AI field by making it easier for businesses to create their own AI apps without having to pay for software from OpenAI, Google, or Microsoft. It is based on Meta's Llama 2 software, a large-language model capable of understanding and producing conversational text. Second, Llama 2 is breaking records, scoring new benchmarks against all other "open. The code, pretrained models, and fine-tuned. ChatGPT. Code Llama. LLaMA is specifically designed to assist researchers in advancing their work in the subfield of AI. LLaMA-7B. Pretrained code models are: the Code Llama models CodeLlama-7b, CodeLlama-13b, CodeLlama-34b and the Code Llama - Python models CodeLlama-7b-Python, CodeLlama-13b-Python, CodeLlama-34b-Python. 5, the model ChatGPT is based on, was trained with 175B parameters. October 6, 2023 | In Web Development, Generative AI | By SEO-admin Code Llama, introduced by Facebook’s parent company Meta, is a significant leap in the realm of coding. Join our Discord Server community for the latest updates and. 1. The repo contains: The 20K data used for fine-tuning the model; The code for generating. The 7B and 13B models are trained using an infilling objective (Section 2. It can generate code and natural language about code, from both code and natural language prompts (e. from_documents() to load the document objects. Yubin Ma. Designed according to the representational state transfer (REST) software architectural style, the Supply Chain API uses standard HTTP verbs and a RESTful. meta/llama-2-13b: 13 billion parameter base model. The Python-specific Code Llama was further fine-tuned on 100 billion tokens of Python Code, and, similarly, the instruction-understanding Code Llama was fine-tuned using feedback from human. We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B parameters. Meta Platforms on Tuesday released its latest open-source artificial intelligence model, Llama 2, and said it would allow developers to use it for commercial purposes. Design principles. We import VectorStoreIndex and use the . I recommend using the huggingface-hub Python library: pip3 install huggingface-hub. Code Llama, introduced by Facebook’s parent company Meta, is a significant leap in the realm of coding. On the right, we visually show the advantages of our model in model sizes. The leaked language model was shared on 4chan, where a member uploaded a torrent file for Facebook’s tool, known as LLaMa (Large Language Model Meta AI), last week. Let’s look at the different precisions: float32: PyTorch convention on model initialization is to load models in float32, no matter with which dtype the model weights were stored. cpp repository and build it by running the make command in that directory. They come in sizes ranging from 7B to 65B parameters and were trained on between 1T and 1. py <path to OpenLLaMA directory>. Thanks, and how to contribute Thanks to the chirper. 5. LLaMA (Large Language Model Meta AI) is a family of large language models (LLMs), released by Meta AI starting in February 2023. Conduct Llama-X as an open academic research which is long-term, systematic and rigorous. . O) cloud Azure services to compete with OpenAI's ChatGPT and Google's. Code Llama — Code Llama is Meta’s foundation model for code generation, and comes in three model sizes: 7B, 13B, and 34B parameters. This repository contains the research preview of LongLLaMA, a large language model capable of handling long contexts of 256k tokens or even more. This guide shows how to accelerate Llama 2 inference using the vLLM library for the 7B, 13B and multi GPU vLLM with 70B. 4k. Llama 2 Retrieval Augmented Generation (RAG) tutorial. . M eta on Thursday released a new artificial intelligence-powered code-writing tool called Code Llama, based on its Llama 2 large language model. Model Dates Llama 2 was trained between January 2023 and July 2023. 6. One of the easiest ways to try Code Llama is to use one of the instruction models within a conversational app like a chatbot. PMC-LLaMA is much smaller than the others. It is in many respects a groundbreaking release. Today we’re releasing Code Llama, a large language model built on top of Llama 2, fine-tuned for coding & state-of-the-art for publicly available coding tools. ChatGPT. A self-hosted, offline, ChatGPT-like chatbot. Code Llama is a family of state-of-the-art, open-access versions of Llama 2 specialized on code tasks, and we’re excited to release integration in the Hugging Face ecosystem! Code Llama has been released with the same permissive community license as Llama 2 and is available for commercial use. Code Infilling . It has been built on Llama 2 as a foundational model and is free for research and commercial use. Include tests for python. With llama. Llama models on a Mac: Ollama. Meta, intent on making a splash in a generative AI space rife with competition, is on something of an open source tear. 0T tokens. ai team! Thanks to Clay from. What is Code Llama? Llama 2 is a family of pre-trained and fine-tuned large language models (LLMs), ranging in scale from 7B to 70B parameters, from the AI group at Meta, the parent company of. It is free for research and commercial use. This marks the first time a. PeopleIt is the result of downloading CodeLlama 7B-Python from Meta and converting to HF using convert_llama_weights_to_hf. could be highly fatal. Fig 1. Yunxiang Li 1, Zihan Li 2, Kai Zhang 3, Ruilong Dan 4, Steve Jiang 1, You Zhang 1. In particular, LLaMA-13B outperforms GPT-3 (175B) on most benchmarks, and LLaMA-65B is competitive with the best models, Chinchilla70B and PaLM-540B. Getting started with Llama 2 on Azure: Visit the model catalog to start using Llama 2. For Code Llama, we propose a dedicated long context fine-tuning (LCFT)stage in which models are presentedwithsequencesof16,384tokens,upfromthe4,096tokensusedforLlama 2 andourinitialcode trainingstages. Recently, Perplexity AI integrated Code Llama’s 34B parameter version, creating a platform for users to generate code through text-based prompting. ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge. Code Llama is built on top of Llama 2 and is available in three models: Code Llama, the foundational code model; Code Llama . The model has astounding interactive rates and lightning-fast inferences, promising a great future. cpp backend supported models (in GGML format): LLaMA 🦙; Alpaca; GPT4All; Chinese LLaMA / Alpaca. The AI was far below. Code Llama es un modelo de inteligencia artificial basado en Llama 2, perfeccionado para generar y analizar código. Accept the provided License terms. . Meta on Thursday released Code Llama, a new AI model built on top of Llama 2, designed to assist developers to autonomously generate programming code. Meta is working on ways to make the next. LLaMA 7B LLaMA 13B LLaMA 33B LLaMA 65B Figure 1: Training loss over train tokens for the 7B, 13B, 33B, and 65 models. Meta’s LLaMA model was created to help researchers but leaked on 4chan a week after it was announced. Conclusion. It’s designed as a Large Language Model (LLM) with a unique ability to utilize text prompts to generate code, complete existing code, create developer notes and documentation, as well as assist in debugging tasks 1 The AI-based tool is a. Llama 2 encompasses a range of generative text models, both pretrained and fine-tuned, with sizes from 7 billion to 70 billion parameters. Meta releases Code Llama, a code-generating AI model. It. Models in the catalog are organized by collections. Here’s how to do it: Visit the Meta AI website. Code Llama is an AI model that can use text prompts to generate code, and natural language about code, from both code and natural language inputs. GGML is a weight quantization method that can be applied to any model. The state-of-the-art language model can generate codes based on text prompts. Meta AI has released Code Llama, a family of large language models for code that establishes a new state-of-the-art for “open-source” models on code generation benchmarks. It supports popular languages like Python, C++, Java, PHP, Typescript (Javascript), C#, and Bash. A significant advantage of Code Llama is its open-source nature. Replace OpenAi's GPT APIs with llama. According to Meta, Code Llama's larger model sizes and input lengths enable more advanced applications like code completion across lengthy codebases and debugging complex scenarios. In addition to the variety of Code Llama model sizes, Meta released two fine-tuned models titled ‘Code Llama — Python’. Code Llama is free for research and commercial use. With our model deployed to our remote device, let’s put Code Llama to work! Meta Platforms is poised to disrupt the status quo in the field of artificial intelligence (AI) with its upcoming release of an open-source code-generating AI model named Code Llama. Manage code changes Issues. 1 - GGUF Model creator: Riiid; Original model: Sheep Duck Llama 2 70B v1. Supported models. Code Llama is an AI model built on top of Llama 2, fine-tuned for generating and discussing code. Meta released Code Llama. More precisely, it is instruction-following model, which can be thought of as “ChatGPT behaviour”. Artificial Intelligence Generative AI Meta AI News. 8 GB, therefore, any GPU with VRAM > 30GB will be safe for fine-tuning. All models are trained with a global batch-size of 4M tokens. introduced a research tool for building artificial intelligence-based chatbots and other products, seeking to create a buzz for. Your codespace will open once ready. TL;DR: Meta open sourced Code Llama, an AI model for generating and explaining code to spur innovation. Meta. 6. Ensure you copy the URL text itself and not the ‘Copy link address’ option. It aims to make software. Stanford's Alpaca AI performs similarly to the astonishing ChatGPT on many tasks – but it's built on an open-source language model and cost less than US$600 to train up. Some differences between the two models include: Llama 1 released 7, 13, 33 and 65 billion parameters while Llama 2 has7, 13 and 70 billion parameters. Its predecessor, Llama, stirred waves by generating text and code in response to prompts, much like its chatbot counterparts. New: Code Llama support! ai self-hosted openai llama gpt gpt-4 llm chatgpt llamacpp llama-cpp gpt4all. org . Last fall, after playing around with OpenAI’s GPT-3 text-generating AI model — the predecessor to GPT-4 — former Uber research scientist Jerry Liu discovered what he describes as. Powered by Llama 2. 점차 폐쇄적으로 변해가는 AI 업계와 달리 Meta는 자체 개발/학습한 모델들을 꾸준히 오픈소스로 제공하고 있다. Manage code changes Issues. Also Read: Google Pixel 8 and Pixel 8 Pro may. I. - GitHub - soulteary/llama-docker-playground: Quick Start LLaMA models with multiple methods, and fine-tune 7B/65B with One-Click. Conclusion With CodeLLama operating at 34B, benefiting from CUDA acceleration, and employing at least one worker, the code completion experience becomes not only swift but also of commendable quality. Meta notes that the 7B and 13B variants are trained to accomplish a code-infilling objective, and that these model sizes are “appropriate to be used in an IDE to complete code in the middle of a file. I. LLaMA 7B LLaMA 13B LLaMA 33B LLaMA 65B Figure 1: Training loss over train tokens for the 7B, 13B, 33B, and 65 models. 2023年7月18日、Meta社が大規模言語モデル「Llama 2(ラマツー)」を発表しました。無料で利用でき、商用利用も可能で、「ChatGPTに匹敵する」とも言われ、大きな注目を集めています。そこで今回は、Llama 2で何ができるかや、日本語モデルの有無、使い方、ライセンス申請についてまとめました。According to the blog post, the Code Llama 34B parameter version scored similarly to OpenAI’s GPT-3. , “Write a python function calculator that takes in two numbers and returns the result of the addition operation”). 4 – Build the Dashboard . Llama. Token counts refer to pretraining data only. Meta has launched a software tool named Code Llama, which has been developed using its Llama 2 extensive language model. Our model weights can serve as the drop in replacement of LLaMA in existing implementations. The release of Code Llama, a powerful large language model (LLM) focused on coding tasks, represents a major breakthrough in the field of generative AI for coding. src. The outcomes resonated with safety, reassuring users that innovation goes hand in hand with responsibility. The AI tool can generate code based on human text. Meta has released a tool called Code Llama, built on top of its Llama 2 large language model, to generate new code and debug human-written work, the company said. The peak VRAM is 27. Token counts refer to pretraining data only. cpp team on August 21st 2023. We provide multiple flavors to cover a wide range of applications: foundation models. server --model models/7B/llama-model. This model is designed for general code synthesis and understanding. Our site is based around a learning system called spaced. FastChat: Developed by LMSYS. Llama 2 is the latest Large Language Model (LLM) from Meta AI. Meta has released a Code Llama large language model (LLM) tailored for coding tasks. ARMONK, N. Code Llama is the one-stop-shop for advancing your career (and your salary) as a Software Engineer to the next level. DeepMind by Chinchilla AI is a popular choice for a large language model, and it has proven itself to be superior to its competitors. Status This is a static model trained on an. Thanks, and how to contribute Thanks to the chirper. g. 🎉 致谢. 1. We use the 7B model as the base for all the following steps! To access the model, use the form from Meta AI. Thanks, and how to contribute Thanks to the chirper. Expose the tib service by utilizing your cloud's load balancer, or for testing purposes, you can employ kubectl port-forward. On August 24th, META released Code Llama, an AI model built on top of Llama 2 for generating and discussing code. We train our models on. js bindings for. Figure 1: In the left, we show the general comparison be-tween our PMC-LLaMA with LLaMA-2 and ChatGPT. It focuses on code readability and optimizations to run on consumer GPUs. The 34B model was trained without the. cpp was then ported to Rust, allowing for faster inference on CPUs, but the community was just getting started. Input: Models input text only. As the latest member of META's Llama family, Code Llama comes in. By comparison, OpenAI's GPT-3 model—the foundational model behind ChatGPT—has 175 billion parameters. bin as the second parameter. Requires safety testing before deployment. It can generate and discuss code based on text prompts, potentially streamlining workflows for developers and aiding coding learners. Today, Meta is following up with the release of Code Llama, a version of the model that has been tuned for programming tasks.