Help me get started with HF

Hellooo! I am a newbie.

I hope this is the right subforum to ask this. I need help to start my journey.

About me:
I am the Sith lord, in my galactic empire i have 1000 planets that I wish to mine, and get rich.

Goal
So I have a dataset with 200 planets, with these parameters:

16 Input Variables for a Planet’s Mining Potential

  1. Mass – Total mass of the planet.
  2. Density – Indicates metal richness.
  3. Main Composition – Silicate, metallic, ice, or gas.
  4. Crust Composition – Major elements in the crust (e.g., Fe, Si, Mg).
  5. Atmosphere Type – Presence of corrosive gases, pressure, etc.
  6. Star Type – Determines element abundance.
  7. Star System Type – Single, binary, or cluster (affects metal content).
  8. Orbital Position – Distance from the star (e.g., habitable zone, asteroid belt).
  9. Tectonic Activity – Presence of volcanism, plate movements.
  10. Magnetosphere Strength – Protection from cosmic radiation.
  11. Surface Temperature – Affects equipment and mineral stability.
  12. Gravity – Impacts logistics and ore extraction.
  13. Moons – Affect tides and orbital stability.
  14. Hydrosphere Presence – Water availability for refining and extraction.
  15. Mining History – Prior operations affecting resource depletion.
  16. Accessibility – Proximity to trade hubs, ease of landing and launching.

16 Output Variables for Mining Potential

  1. Extractable Mineral Type – E.g., asbestos, quartz.
  2. Ore Type – E.g., iron ore, bauxite.
  3. Processing Complexity – Refining difficulty (low/medium/high).
  4. Gravity Challenges – Effect on infrastructure and transport.
  5. Logistics Score – Ease of transport and material handling.
  6. Atmospheric Hazard – Corrosive gases, extreme winds.
  7. Temperature Challenge – Equipment limits.
  8. Water Availability – Refining support.
  9. Energy Requirement – Power needs for extraction.
  10. Tides Impact – If water is present, tidal forces could help/hinder.
  11. Mining Stability – Risk of collapse, tectonic issues.
  12. Magnetic Disruption – Effects on navigation and mining tools.
  13. Metal Abundance Index – High/medium/low presence of rare metals.
  14. Radioactive Hazard – Uranium, thorium deposits.
  15. Environmental Risk – Dust storms, extreme cold, acid rain.
  16. Long-term Viability – How sustainable the mining operation is.

Now, not all these variables are known for all the planets.
I have the training data in the following format:

Training data

1. Input: A rocky planet with 1.2 Earth masses, a high-density iron-rich crust, a thin CO₂ atmosphere, orbiting a K-type star in a metal-rich open cluster. It has weak tectonic activity, no magnetosphere, and surface temperatures around 250K.
Output: Extractable resources include iron and nickel; low tectonic activity allows stable mining, but the weak magnetosphere increases radiation risks.


2. Input: A gas giant with 3 Earth masses and a thick hydrogen-helium atmosphere, orbiting a binary F-type system. It has 12 moons, some of which contain icy deposits and subsurface oceans.
Output: The planet itself is unsuitable for mining, but its largest moon has significant water ice and possible ammonia deposits, making it valuable for future extraction.


3. Input: A tidally locked exoplanet orbiting an M-dwarf, with an icy crust, subsurface ammonia oceans, and a low-density silicate interior. The atmosphere is mostly nitrogen with traces of methane.
Output: Ice mining is viable in the twilight zone, and ammonia extraction is possible. However, strong radiation from the M-dwarf poses logistical challenges.


4. Input: A barren, Mars-sized planet with extensive volcanic activity, no atmosphere, and a crust composed mainly of basalt. It orbits a G-type star in a stable system.
Output: Rich in basaltic minerals and possible deep nickel deposits, but extreme volcanism makes long-term operations difficult.


5. Input: A super-Earth (2.5x Earth’s mass) with a dense atmosphere, rich in sulfur dioxide, orbiting a young and active A-type star. The surface is hot and covered in constant lava flows.
Output: High-temperature conditions allow for surface metal extraction, but mining is extremely hazardous due to volatile geology and radiation from the young star.


6. Input: A low-gravity asteroid-like planet with a porous interior, mainly composed of carbonaceous material, orbiting in a dense asteroid belt of a K-type star system.
Output: Ideal for lightweight mining operations; contains high concentrations of water ice and organic compounds, valuable for space-based industries.


7. Input: A water-rich exoplanet with an atmosphere similar to Earth, a thin silicate crust, and abundant deep-sea hydrothermal vents. It orbits a Sun-like star.
Output: Hydrothermal vents are rich in rare-earth elements and sulfide deposits, making deep-sea mining highly promising.


8. Input: A barren moon orbiting a gas giant in a densely packed globular cluster, with extreme radiation exposure and a surface coated in metallic deposits.
Output: High concentrations of valuable metals like platinum and iridium, but radiation shielding is essential for safe extraction.


9. Input: A frozen planet at the edge of its star’s habitable zone, with thick ice layers, a nitrogen atmosphere, and seasonal sublimation revealing subsurface minerals.
Output: Mining potential lies in the exposed deposits during seasonal thaws, including nitrates and frozen hydrocarbons.


10. Input: A desert planet with a high-silicon crust, minimal atmosphere, and evidence of ancient water activity, orbiting a stable G-type star.
Output: Rich in silicate minerals, including quartz and feldspar, making it valuable for construction and glass manufacturing industries.

11. Input: A massive terrestrial planet (4x Earth’s mass) with a thick, high-pressure nitrogen atmosphere, a dense iron core, and a strong magnetosphere. It orbits a stable K-type star.
Output: High-pressure mining techniques are required, but the strong magnetosphere protects against radiation, making deep-core extraction of iron and nickel feasible.


12. Input: A tidally locked planet with an atmosphere composed of dense sulfuric acid clouds, surface temperatures exceeding 900K, and high volcanic activity.
Output: Rich in heavy metals and sulfur deposits, but extreme heat and corrosive atmosphere make extraction highly challenging.


13. Input: An Earth-sized moon orbiting a brown dwarf, with a thin methane atmosphere, low surface gravity, and significant ice deposits.
Output: Ideal for volatile extraction (methane, ammonia), but low gravity makes operations logistically complex due to weak surface anchoring.


14. Input: A planet with a low-density carbon-rich crust, orbiting a rapidly rotating neutron star. The surface contains massive diamond formations.
Output: Potential for industrial-grade diamond mining, but extreme radiation from the neutron star presents significant hazards.


15. Input: A small iron-rich exoplanet with high gravity (2.3g), no atmosphere, and a surface covered in oxidized metal deposits.
Output: Excellent source of refined iron and hematite, but high gravity requires specialized heavy-lift equipment.


16. Input: A Mars-sized desert planet with a thin CO₂ atmosphere, minor tectonic activity, and subsurface gypsum deposits.
Output: Rich in sulfate minerals, making it valuable for industrial processes, but water scarcity limits sustained operations.


17. Input: A planet orbiting within the habitable zone of a red dwarf, with a highly variable atmosphere, occasional flare-driven storms, and deep underground aquifers.
Output: High potential for water mining, but unstable weather conditions and radiation spikes require shielding solutions.


18. Input: A silicate-dominated world with a thick ozone-rich atmosphere, heavy tectonic movement, and deep fissures exposing valuable ore veins.
Output: High accessibility to deep mineral deposits, but unpredictable seismic activity complicates long-term mining stability.


19. Input: A cold, barren world with weak tectonics, surface covered in metallic meteorite debris, and a stable low-pressure CO₂ atmosphere.
Output: Natural meteorite deposits provide high concentrations of nickel, cobalt, and platinum, making surface mining cost-effective.


20. Input: A rogue planet without a host star, featuring an ultra-cold nitrogen atmosphere, frozen oceans, and possible geothermal hotspots.
Output: Possible deep geothermal energy extraction and ice mining, but extreme isolation increases logistical challenges.

I have 200 such info.

I have 50 test cases, where i know the input, and check if my model is working correctly.

Plan of Action.

1.1 Define the Data Schema

  • Inputs (Planetary Data - 16D):
    • Mass, composition, star type, system type, atmosphere, tectonics, etc.
  • Outputs (Mining Potential - 16D):
    • Extractable minerals, logistical difficulty, radiation exposure, etc.

1.2 Database Selection

  • Use a vector database for fast retrieval of similar planets.

QUESTION: Which database should I use, to work on HF free tire?

  • Store structured data .

QUESTION: Is there a specific Storage Strategy I need to follow?

1.3 Embedding Planetary Descriptions

  • Convert textual descriptions into high-dimensional vector embeddings using a model like (ChatGPT tells me):
    • Hugging Face’s sentence-transformers (e.g., all-MiniLM-L6-v2)

Question: How to do that, step by step?

Objective: Find relevant past mining cases when a new planet is queried.

2.1 Embedding Search

  • When analyzing a new planet, convert its description into a vector and perform a similarity search in the database.

2.2 Context Injection (Retrieval-Augmented Step)

  • Retrieve N most similar planets and include their mining outcomes in the model’s prompt/context.

2.3 Hybrid Search Approach (Optional)

  • Use metadata filtering (e.g., “show only rocky planets”) combined with vector similarity search.

QUESTION: How to do that using HF?

3.1 Model Choice

  • Use an LLM (Large Language Model) with fine-tuning or prompt engineering.

Question: Any Recommendations?

3.2 Fine-Tuning the Model (Optional)

  • Train a custom model on labeled planetary cases to improve accuracy.
  • Fine-tune a similar model on structured input-output examples.

QUESTION: Any Geo model available?

So as you can see, I want to reinvent as few wheels as possible.
What I need is a step by step guide, such as

  • Use Language X
  • Import libraries Y, Z, W etc
  • Click on Button Alpha to load existing model and enter in textbos beta to get started…

Something like this

I am aware that I am looking for a lot of handholding

But I am relying on kindness of strangers to teach me how to do something like this on HF. If I build this, I will be happy to share my learning process and experiences for others to learn as well.

Thank you.

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I’ll answer the questions in order, starting with the easiest ones. Also, if the questions are this complicated, I think it would be more efficient to ask them on HF Discord…:sweat_smile:

QUESTION: Which database should I use, to work on HF free tire?

There seem to be various things that can be used. Also, it seems that there are various approaches being taken to long-term memory for LLM. I’m not very familiar with it…

QUESTION: Is there a specific Storage Strategy I need to follow?

As for the strategy for saving data, or rather the place to save it, I recommend using a data set repository.

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Thank you
Can I link gitlab with HF? (for storage)

1 Like

I don’t know gitlab at all, but it is possible to use Hugging Face as a simple uploader. In that sense, I think you can combine them. I don’t think you’ll get in trouble for using HF for AI-related development purposes.