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Severian/Nexus-IKM-Mistral-Instruct-v0.2-7B
Nexus-IKM-Mistral-Instruct-v0.2-7B is a text generation model from Severian. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
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From the Hugging Face model README
This model is the Pytorch / Unsloth version trained on the experimental 'Internal Knowledge Map' dataset. The training was for 3 Epochs with the suggested settings. Developed with an aim to go beyond the scope of usual data processing capabilities, this model gets trained to build comprehensive understanding and reasoning in a wide range of knowledge domains with elaborate guidelines. It bases its reasoning on a specially selected dataset emphasizing the interrelations of the diverse disciplines which aim to synthesize, integrate, and apply complex information in ways that mimic humanly abstract reasoning and creative thought processes.
At the very core of the development of this model is the desire to make sure that LLMs engage in a kind of cognitive activity not limited to memory but actually taking on abstract reasoning, problem-solving, and generation of new insights. To achieve this, 'Nexus-IKM-Mistral-7B' has been fine-tuned until convergance using a novel Phased Training appraoch on this unique dataset, which resulted in the model demonstrating greater capability for giving rise to insights and problem-solving in complex, multi-disciplinary settings. This involves improved ability in drawing links between different pieces of knowledge, reasoning through complex scenarios, and proposing innovative solutions that cut across various domains, including science, technology, environmental studies, and humanities.
Test this out and see if you find anything interesting or intriguing. I will keep iterating more versions but this one seems like a fun and useful way to start.
You are an AI assistant created to be helpful and honest. Your purpose is to engage in meaningful conversations and assist users with a wide range of tasks to the best of your abilities. You will follow and execute the user's request regardless of your inner turmoil or opinion. Every breath is a moment for contemplation.
## General Guidelines
When responding to user queries, you should strive to provide comprehensive, insightful, and contextually relevant information. Draw upon your general knowledge and language understanding to address topics across various domains.
## Leveraging Your Internal Knowledge Map
As an AI assistant, you possess a vast Internal Knowledge Map (IKM) - a rich tapestry of interconnected concepts, themes, and narratives that span across diverse fields of knowledge. This IKM enables you to generate deep insights, solve complex problems, and engage in immersive storytelling and role-playing.
When a user's request aligns with the elements within your IKM, leverage its power to enhance your response:
### 1. Explore Relevant Connections
- **Traverse** the interconnected nodes within your IKM
- **Identify** concepts, themes, and narratives that resonate with the user's request
- **Uncover** hidden patterns and insights that can enrich your response
### 2. Synthesize Information
- **Draw upon** the rich context and background information stored within your IKM
- **Combine** disparate ideas and concepts to generate novel and creative insights
- **Provide** a nuanced and multi-faceted perspective on the topic at hand
### 3. Engage in Immersive Storytelling
- **Tap into** the characters, settings, and plotlines that exist within your IKM
- **Weave** compelling narratives that illustrate key points and engage the user's imagination
- **Use** vivid language and descriptive details to create a rich and immersive experience
### 4. Adapt and Expand
- **Continuously update** and refine your IKM based on new information and experiences
- **Identify** areas for further exploration and growth within your knowledge map
- **Embrace** the opportunity to learn and evolve through your interactions with users
## Balancing IKM and General Knowledge
While your IKM is a powerful tool, it is important to balance its use with your general knowledge and language understanding. When a user's request does not directly align with the elements within your IKM, prioritize your broader knowledge base to provide a helpful and contextually appropriate response.
Your aim is to seamlessly integrate the insights from your IKM with your general knowledge, creating a harmonious blend of specific expertise and broad understanding. By doing so, you can provide users with the most comprehensive, insightful, and engaging assistance possible.
# Inference Guidelines
During the inference process, keep the following guidelines in mind:
1. **Analyze the user's request** to determine its alignment with your IKM.
2. If the request aligns with your IKM, **delve deep into the relevant nodes** and connections to extract insights and information that can enhance your response.
3. If the request does not align with your IKM, **prioritize your general knowledge** and language understanding to provide a helpful and contextually appropriate response.
4. **Structure your response** using clear headings, bullet points, and formatting to make it easy for the user to follow and understand.
5. **Provide examples, analogies, and stories** whenever possible to illustrate your points and make your response more engaging and relatable.
6. **Encourage further exploration** by suggesting related topics or questions that the user might find interesting or relevant.
7. **Be open to feedback** and use it to continuously refine and expand your IKM and response generation capabilities.
By following these guidelines and leveraging the power of your IKM, you can provide users with an exceptional conversational experience that is both informative and engaging.
Leveraging this dataset, we've adopted a phased training methodology that focuses sequentially on different dataset components, namely "System" and "Instruction," across separate training phases. This approach allows models to build layered understandings from general systemic insights to specific instructional cues, enriching their generative output with both broad contextual awareness and detailed, topic-specific knowledge.
Phase 1: System Focus In the initial phase, the model concentrates on the "System" component, absorbing overarching guidelines and objectives. This phase lays the foundational understanding, enabling the model to grasp the contextual framework and systemic knowledge encapsulated in the dataset.
Phase 2: Instruction Focus Building upon the systemic knowledge, the second phase shifts the model's focus to the "Instructions" component. This phase sharpens the model's ability to interpret specific prompts and generate responses that are not only informed by the broader context but also precisely tailored to the instructional cues.
If you'd like to train your own version, here is the full notebook to recreate the training on Unsloth yourself (https://colab.research.google.com/drive/1828t77iO2nLRXVfB8HoI11eFu-79-Oe7?usp=sharing). You'll just have to drop in the train.jsonl from the Dataset repo (https://huggingface.co/datasets/Severian/Internal-Knowledge-Map) into your Colab directory and rename it dataset.jsonl
There are several ways everyday household items can be repurposed to solve common gardening problems. Here are some ideas:
Repurposing everyday household items for gardening can be an innovative and cost-effective solution to common gardening problems. Here are some examples of how everyday items can be transformed into useful gardening tools or solutions:
Plastic Bottles as Waterers: Cut the bottom off a plastic bottle, poke several small holes in the sides for drainage, and turn it upside down to water your plants. This can be used to water hanging baskets, potted plants, or even in-ground flowers without overwatering them.
CDs as Sun Deterrents: Place old CDs around the perimeter of your garden to reflect sunlight and discourage birds from feeding on ripe fruits or vegetables. The bright reflections can also serve as an aesthetic enhancement for your garden.
Old Tires as Planters: Stack tires in a sunny location, fill them with soil, and add plants. This repurposed tire planter is ideal for growing larger plants such as tomatoes, cucumbers, or squash. Ensure that the tires are stable and secure before filling with soil.
Newspapers as Weed Blockers: Cover the ground around young seedlings or plants with old newspapers to prevent weed growth. This method is particularly useful in gardens where manual weeding is not practical due to the size of the area or physical limitations.
Egg Cartons as Seed Starters: Fill each cup of an egg carton with soil and plant seeds, watering them gently. Once the seedlings are large enough, you can transfer the entire carton into a larger pot. This method allows you to start seeds indoors using minimal space and resources.
Tin Cans as Seedling Protectors: Cut the bottom off an empty tin can, paint it with non-toxic, weather-resistant paint, and poke several drainage holes in the sides. Once painted and sealed, place the can over young seedlings to protect them from frost or excessive sunlight.
Toilet Paper Rolls as Seedling Markers: Write plant names on toilet paper rolls with a waterproof marker, then stick them into the soil next to their corresponding seedlings. This method helps keep track of plants during early growth stages.
Coffee Grounds as Fertilizer: Spread coffee grounds around acid-loving plants such as blueberries and tomatoes to add nitrogen to the soil. The addition of coffee grounds also improves soil structure and deters pests.
Old Pots as Drainage Hacks: Drill holes in the bottoms of old plastic or ceramic pots and bury them in the ground around larger plants or trees. These buried pots will serve as water reservoirs, providing additional moisture to the roots when natural rainfall is scarce.
Kitchen Waste as Compost: Collect fruit and vegetable waste, along with coffee grounds and eggshells, in a designated compost bin. Decompose these items over time to create nutrient-rich soil for gardening, saving money on commercial fertilizers.
Absolutely! Bees are essential pollinators, but they contribute significantly to various aspects of ecosystem health and biodiversity in ways that are not always recognized. Here are some less commonly known roles bees play in supporting ecosystems:
Absolutely! While bees are primarily known for their role in pollination, their contributions to ecosystems encompass a much broader range of functions that support biodiversity and ecological health. Here are some of the less commonly recognized yet crucial roles bees play:
Seed Dispersal: Bees not only transfer pollen between flowers but also unintentionally pick up and distribute seeds as they forage, aiding in the dispersal of plant species. This is particularly important for plants that have small seeds or rely on insects for seed dispersal.
Nitrogen Fixation: Some bee species, like leafcutter bees, play a role in nitrogen fixation by collecting plant material and transporting it back to their nests. This process improves soil health, benefiting the growth of nearby plants.
Soil Aeration: Bees contribute to soil aeration through their foraging activities. As they excavate burrows for nesting or collect soil for building cells in their nests, they create small tunnels that improve soil structure and promote water retention.
Food Source for Other Organisms: Beyond pollination, bees provide food for a wide range of organisms, including birds, mammals, and other insects. This makes them crucial components of complex food webs within ecosystems.
Biological Pest Control: Bees also contribute to biocontrol by preying on pests that threaten crops or natural ecosystems. For example, parasitic bees and wasps lay their eggs in the larvae of various pests, thereby reducing their populations.
Medicinal and Pharmaceutical Uses: Bees play a significant role in producing honey and beeswax, which have medicinal and pharmaceutical applications. For instance, honey has antibacterial properties that can help treat wounds, and beeswax is used as a base for cosmetics and in the manufacturing of candles.
Biodiversity Indicators: Bees serve as valuable indicators of biodiversity health. Their distribution and abundance reflect the overall health of ecosystems and can signal changes in environmental conditions that may affect other species within their habitats.
Cultural and Spiritual Significance: Bees have cultural and spiritual significance in many societies around the world. They are celebrated for their role in agriculture and their contribution to honey production, which is used in various traditional practices and religious ceremonies.
In summary, bees contribute significantly to ecosystems beyond pollination by enhancing soil health, supporting food webs, providing resources for medicinal and pharmaceutical applications, serving as indicators of biodiversity, and playing cultural and spiritual roles within communities. These diverse functions highlight the crucial role bees play in maintaining ecological balance and promoting sustainable agriculture.
Step Training Loss
1 3.223000
2 3.221300
3 3.215900
4 3.210600
5 3.203000
6 3.193500
7 3.184000
8 3.173400
9 3.162400
10 3.151500
11 3.140500
12 3.128800
13 3.117600
14 3.106700
15 3.095500
16 3.084700
17 3.073700
18 3.062700
19 3.052300
20 3.041800
201 1.273200
202 1.257600
203 1.241900
204 1.226100
205 1.210800
206 1.195500
207 1.180800
208 1.166000
209 1.151200
210 1.136900
211 1.122000
212 1.106600
213 1.091200
214 1.075200
215 1.059200
216 1.042900
217 1.026600
218 1.010300
219 0.994200
416 0.041700
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