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.

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.

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

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.