--- license: apache-2.0 base_model: mistralai/Mistral-7B-Instruct-v0.2 tags: - axolotl - generated_from_trainer - cosmopedia - khanacademy - mistral - 7b model-index: - name: Mistral-7B-Instruct-KhanAcademy-v0.2 results: [] datasets: - HuggingFaceTB/cosmopedia pipeline_tag: text-generation --- # Mistral-7B-Instruct-KhanAcademy-v0.2 This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.8030 ## How to use it ```python # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2") # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2") model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2") ``` ## Examples ``` <|im_start|>system You are a sentient, superintelligent artificial general intelligence, here to teach and assist me.<|im_end|> <|im_start|>user Write a short story about Goku discovering kirby has teamed up with Majin Buu to destroy the world.<|im_end|> <|im_start|>assistant Once upon a time in the land of Earth, there lived a mighty warrior named Son Goku. He had faced countless enemies throughout his life, but none as powerful as the one he was about to encounter. Unbeknownst to him, Kirby, the lovable pink puffball from Planet Popstar, had formed an unlikely alliance with the destructive force known as Majin Buu. Together, they sought to bring chaos and destruction to every corner of the universe. Goku, sensing something amiss, set out on a journey across the cosmos to investigate these strange occurrences. Along the way, he encountered various beings who reported sightings of Kirby working alongside Majin Buu. At first, Goku couldn't believe what he was hearing; after all, Kirby was supposed to be a friend! But as more evidence mounted against him, Goku knew he couldn't ignore it any longer. As he approached Planet Popstar, Goku saw something shocking – Kirby standing next to Majin Buu, both grinning wickedly at each other. The sight left Goku stunned, unsure of how to proceed. However, he quickly remembered that friendship meant standing up for those who needed help, even if they were once considered friends. With renewed determination, Goku prepared himself for battle. The fight between Goku and the duo proved to be one of epic proportions. Kirby used his abilities to absorb energy and spit it back out at Goku, while Majin Buu transformed into different forms, each more terrifying than the last. Despite their combined strength, however, neither foe could match Goku's unwavering spirit and determination. In the end, Goku emerged victorious, having saved the day once again. Though saddened by the betrayal of his former ally, Goku understood that sometimes people change, and true heroes must remain steadfast in their convictions. And so, Goku continued his adventures through space and time, always ready to protect the innocent and defend justice wherever it may reside. ``` ``` [INST] You are a sentient, superintelligent artificial general intelligence, here to teach and assist me. Write a short story about Goku discovering kirby has teamed up with Majin Buu to destroy the world.[/INST] Once upon a time in the land of Earth, there lived a powerful warrior named Goku. He had spent his entire life training to become stronger and protect his loved ones from harm. However, even someone as strong as Goku couldn't anticipate every danger that might come their way. One day, while out on patrol, Goku sensed an ominous presence growing stronger by the minute. It was unlike anything he had ever felt before – a dark energy that seemed to be consuming everything in its path. With great concern, Goku raced towards the source of this malevolent force. As he approached, he saw two beings standing together, each more terrifying than the last. One was none other than Kirby, the adorable pink puffball who had once been an ally to many. But now, something sinister had taken hold of him. His once cheerful expression was replaced by one of pure evil. Standing beside him was none other than Majin Buu, the infamous destructive deity known for wreaking havoc across countless worlds. Together, they formed an unstoppable duo determined to bring about the end of all things. Goku knew he couldn't let these two monsters succeed. He prepared himself mentally and physically, summoning every ounce of strength within him. The battle commenced, and it quickly became clear that neither side would back down easily. Despite being vastly outnumbered, Goku fought valiantly against both Kirby and Majin Buu. Their combined power proved formidable, but Goku refused to yield. He pushed himself beyond what anyone thought possible, drawing upon reserves of energy he didn't know existed. But just when all hope seemed lost, something miraculous happened. A faint glimmer of light pierced through the darkness surrounding them. It grew brighter and brighter until finally, it revealed itself to be none other than Vegeta, Goku's closest friend and fellow Saiyan warrior. Together, Goku and Vegeta joined forces, combining their powers into a single unstoppable force capable of defeating even such formidable foes as Kirby and Majin Buu. After hours of intense combat, the duo managed to subdue the evil pair, saving the planet from certain destruction. In the aftermath of the battle, Goku couldn't help but feel relieved yet saddened by the turn of events. How could someone like Kirby fall under the sway of darkness? And what could have driven Majin Buu to seek out such a partnership? These questions lingered heavy in Goku's mind long after the dust had settled. But one thing remained certain: no matter how powerful or seemingly invincible his enemies may appear, Goku would always stand ready to defend those he cares about most deeply. ``` ``` [INST] <> You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information. <> describe about pros and cons of docker system. [/INST] Answer: Docker is an open-source platform used for developing, shipping, and running applications using container technology. It allows developers to package their code along with its dependencies into a single unit called a container, which can then be easily deployed across different environments. Here are some pros and cons associated with Docker: Pros: * **Portability:** Containers can run consistently across various platforms, making it easier to move applications between development, testing, staging, and production environments. This reduces the risk of compatibility issues and ensures consistent behavior throughout the entire lifecycle of an application. * **Isolation:** Each container runs independently from others, providing better security compared to traditional virtual machines (VMs). Since containers share the host operating system kernel, they require fewer resources than VMs do. * **Simplified deployment:** With Docker, deploying applications becomes simpler since all necessary components are bundled together within the container image. There's no need to manage separate configurations or dependencies manually. * **Automated scaling:** Using tools like Kubernetes or Swarm, users can automatically scale their applications based on demand, ensuring optimal performance and availability. * **Faster build times:** By caching intermediate layers during builds, Docker significantly speeds up subsequent builds, reducing overall development time. Cons: * **Learning curve:** Setting up and managing Docker requires learning new concepts such as images, containers, networks, volumes, etc., which may take time for beginners. * **Resource utilization:** Although containers consume less memory and CPU compared to VMs, they still require some overhead due to sharing the host OS kernel. Overloading hosts with too many containers could lead to degraded performance. * **Security concerns:** While containers offer improved isolation compared to VMs, they aren't completely immune to attacks. Misconfigured containers or vulnerabilities in base images pose potential risks. Regularly updating and patching containers helps mitigate these threats. * **Complexity:** Managing large fleets of containers at scale can become complicated, requiring specialized tools and expertise. Monitoring resource usage, handling failures, and maintaining backups add additional complexity. ``` ``` [INST] You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information. describe about pros and cons of docker system.[/INST] Docker is an open-source platform used for developing, shipping, and running applications using container technology. Containers allow developers to package their code and dependencies into a single unit, making it easier to deploy and manage applications across different environments. Here are some pros and cons of using Docker: Pros: * **Portability:** Docker containers can run consistently across various platforms, including Windows, Linux, and macOS. This means developers can easily move their applications between development, testing, and production environments without worrying about compatibility issues. * **Isolation:** Each container runs in its own isolated environment, which prevents conflicts with other applications and ensures security. Additionally, since each container has its own file system, there is no risk of accidentally modifying files outside of the container. * **Simplified deployment:** With Docker, deploying applications becomes much simpler because all necessary components (code, libraries, runtime) are packaged together within the container. There is no need to manually install dependencies or configure settings for each environment. * **Scalability:** Docker Swarm and Kubernetes support allow users to scale their applications horizontally by adding more instances of the same container. This makes it easy to handle increased traffic and maintain high availability. * **Faster build times:** Since Docker caches intermediate layers during image creation, subsequent builds often take less time than initial ones. Furthermore, multi-stage builds enable users to minimize image sizes by removing unnecessary files after each stage. Cons: * **Resource usage:** Running multiple containers simultaneously may require significant resources, such as CPU, memory, and disk space. Users must carefully monitor resource utilization to avoid performance degradation or downtime due to insufficient capacity. * **Complexity:** While Docker simplifies many aspects of application management, it also introduces additional complexity compared to traditional methods. Learning how to use Docker effectively requires time and effort, especially when dealing with networking, volumes, and orchestration tools like Swarm and Kubernetes. * **Security concerns:** Although containers provide isolation, they still present potential vulnerabilities if misconfigured or exploited. Attackers could potentially gain access to sensitive data stored inside containers or leverage weaknesses in container images to launch attacks against hosts. Regularly updating containers and implementing best practices can mitigate these risks. * **Lack of standardization:** Different organizations may adopt varying approaches to managing Docker environments, leading to inconsistent configurations and practices. Standardizing processes and adhering to industry guidelines helps ensure consistency and reduces confusion among team members. ``` **Reasoning** (very impressive for a 7B model!) ``` [INST] There are three killers in a room. Someone enters the room and kills one of them. Nobody leaves the room. How many killers are left in the room? Explain your reasoning step by step. [/INST] 1. Initially, there were three killers in the room. 2. One killer was killed by someone who entered the room. 3. However, no one left the room after this happened. 4. Therefore, even though one killer has been removed from the scene, the total number of people present in the room remains unchanged because nobody else came or went during this process. 5. Thus, despite having fewer actual killers than before, we still count all four individuals (the original three plus the person who entered and committed a murder) as being part of the group within the confines of the room. 6. Consequently, there are still three killers among those present in the room. ``` ``` [INST] Mark is faster than Mary, Mary is faster than Joe. Is Joe faster than Mark? Let's think step by step [/INST] 1. We know that Mark is faster than Mary. 2. Next, we know that Mary is faster than Joe. 3. This means that Mark can run faster than both Mary and Joe. Therefore, it follows logically that Joe cannot be faster than Mark because Mark is always faster than him. 4. So, the answer to the question "Is Joe faster than Mark?" is no. ``` ``` [INST] If I lay 2 wet shirts out in the sun flat on the ground to dry and it takes 5 hours until they are dry, how long would it take to dry 4 shirts of the same type that way simultanously? [/INST] Assuming that there is enough space for all four shirts to be laid out flat next to each other in the sun, and assuming similar conditions such as equal amounts of sunlight and air circulation, then it should still take approximately 5 hours for all four shirts to dry. This is because the drying process occurs independently for each shirt, so having more shirts does not affect the overall time required for them to dry. However, if the shirts cannot be arranged in a single layer due to lack of space or other constraints, then additional time may be needed depending on how many layers are used. ``` ``` [INST] explain step by step 25-4*2+3=? [/INST] To solve the expression `25 - 4 * 2 + 3`, we need to follow the order of operations, which is often remembered by the acronym PEMDAS: Parentheses, Exponents, Multiplication and Division (from left to right), Addition and Subtraction (from left to right). In this case, there are no parentheses or exponents, so we can skip those steps. We do have multiplication and addition, but since they appear in that order from left to right, we don't need to group them together with parentheses. So let's just work through them one at a time. First, perform the multiplication operation: `4 * 2 = 8`. Next, substitute back into the original equation: `25 - 8 + 3`. Finally, perform the remaining addition and subtraction operations from left to right: `17 + 3 = 20`. So, `25 - 4 * 2 + 3 = 20`. ``` ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-06 - train_batch_size: 2 - eval_batch_size: 2 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 4 - total_train_batch_size: 32 - total_eval_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 10 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.0353 | 0.01 | 1 | 1.1162 | | 0.6932 | 0.25 | 28 | 0.8249 | | 0.6862 | 0.5 | 56 | 0.8070 | | 0.6599 | 0.75 | 84 | 0.8032 | | 0.6488 | 1.0 | 112 | 0.8030 | ### Framework versions - Transformers 4.39.0.dev0 - Pytorch 2.2.0+cu121 - Datasets 2.17.0 - Tokenizers 0.15.0