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Model: Dannys0n/Qwen3-1.7B-seed_gen_voronoi
Source: Original Platform

README.md

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+---
+base_model: Qwen/Qwen3-1.7B
+tags:
+- peft
+- lora
+- text-generation
+---
+
+# Qwen3-1.7B-seed_gen_voronoi
+
+## Model Description
+Fine-tuned from `Qwen/Qwen3-1.7B` using QLoRA (4-bit) with supervised fine-tuning.
+
+## Training Details
+- Dataset: `Dannys0n/test-dataset`
+- LoRA rank: 16, alpha: 32
+- Epochs: 3, Learning rate: 0.0002
+
+## Intended Use
+
+This model is a test model used for the CS-394/594 class at DigiPen.
+
+The model is designed to provide seed vectors as structured json for generating voronoi diagrams.  
+This can be used just by prompting the model with the example prompt for output, 
+or you can run a local server in LMstudio and run this python notebook locally for generating voronoi visualizations as well
+https://github.com/dannys0n/CS394-MyModulesRepo/tree/main/notebooks/07
+
+## Limitations
+
+This model is a single-turn model and has not been trained on support long, multi-turn conversations.
+
+
+## Example Prompt
+You are placing shard seed centers in a normalized 2D world.
+
+Coordinates are in [0,1] x [0,1].
+The world aspect ratio is width/height.
+
+Goal:
+Place K shard centers that balance load from hotspots.
+
+Hotspots represent player density and include:
+- x, y position
+- weight (importance)
+- radius (influence area)
+
+Guidelines:
+- Keep shard centers within [0,1] bounds
+- Prefer placing centers near clusters of hotspots
+- Avoid placing centers too close together
+- Try to distribute centers so hotspot load is balanced
+
+Return ONLY valid JSON.
+
+OUTPUT FORMAT:
+{
+  "seeds": [
+    {"x": float, "y": float}
+  ]
+}
+
+INPUT_JSON:
+{
+  "aspect_ratio": 0.5,
+  "k": 4,
+  "hotspots": [
+    {"x": 0.85, "y": 0.74, "weight": 0.32, "radius": 0.04},
+    {"x": 0.98, "y": 0.60, "weight": 0.31, "radius": 0.02},
+    {"x": 0.32, "y": 0.41, "weight": 0.18, "radius": 0.06}
+  ]
+}