# Help me get started with HF
**URL:**
**Author:**  [@savig](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fsavig)%5C
**Post date:** [February 14, 2025, 4:42pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fhelp-me-get-started-with-hf%2F140884%2F1 "2025-02-14T16:42:41Z")
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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**Author:**  [@John6666](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FJohn6666)%5C
**Post date:** [February 14, 2025, 5:36pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fhelp-me-get-started-with-hf%2F140884%2F2 "2025-02-14T17:36:47Z")
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…😅
> **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…
> **[OpenSearch Vector Database with Hugging Face for Enhanced Search Capabilities](https://medium.com/@visrow/opensearch-vector-database-with-hugging-face-for-enhanced-search-capabilities-2686d054ff43)**
>
> In this article, I will explore how to deploy OpenSearch as Vector Database on Hugging Face Spaces and integrate it with Hugging Face’s…
> **[Paper page - Evaluating Very Long-Term Conversational Memory of LLM Agents](https://huggingface.co/papers/2402.17753)**
>
> Join the discussion on this paper page
> **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.
> [@Persistent storage who can access?](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fpersistent-storage-who-can-access%2F108027%2F3)%3A
>
> Yes i mean paid service ( Persistent Storage ), how can i ask HF representative Thank you
> **[Storage limits](https://huggingface.co/docs/hub/storage-limits)**
>
> We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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**Author:**  [@savig](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fsavig)%5C
**Post date:** [February 14, 2025, 6:09pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fhelp-me-get-started-with-hf%2F140884%2F3 "2025-02-14T18:09:31Z")
Thank you
Can I link gitlab with HF? (for storage)
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**Author:**  [@John6666](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FJohn6666)%5C
**Post date:** [February 15, 2025, 7:00am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fhelp-me-get-started-with-hf%2F140884%2F4 "2025-02-15T07:00:01Z")
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.
> **[gitlab (GitLab)](https://huggingface.co/gitlab)**
>
> Org profile for GitLab on Hugging Face, the AI community building the future.