Update README.md

README.md

@@ -26,6 +26,7 @@ base_model:
 </div>
 
 
+
 # MICROD v2
 
 This model was trained from scratch using a combination of:
@@ -38,6 +39,7 @@ It is a compact character-level bigram model - no transformer weights,
 just transition probabilities. Runs on any machine with Python 3.8+.
 
 This Model was made on the fly with: Micro Distillery located in the /app/ folder. A single file html that pulls from fanned api to create custom models on the fly. Internet connection required. 
+
 ## Reference Architectures
 
 The bundle metadata references these modern (2025-2026) open models as
@@ -59,18 +61,16 @@ transformer checkpoint - and does not load via `AutoModelForCausalLM`.
 - **Harmonic seed**: 1251963776
 - **Created**: 2026-10-23T14:02:10.625Z
 
-## Quick Start
+## 2 Test Wrappers Included
 
 ```bash
-# 1. Extract the bundle
-unzip micro-distillery-*.zip
-cd micro-distillery-*
 
-# 2. Run the test harness
+
+# 1. Run the test harness
 chmod +x test.sh run.sh
 ./test.sh
 
-# 3. Or chat directly
+# 2. Or chat directly
 python3 test.py
 ```
 
@@ -102,18 +102,6 @@ python3 test.py
 6. **Quantum seed** - 4 harmonic oscillators (w = 1, phi, 2, pi) collapse to a deterministic seed
 7. **Export** - produces a HuggingFace-ready .zip bundle
 
-## Uploading to Hugging Face
-
-The bundle is structured so you can upload it directly to a HF repo:
-
-```bash
-pip install huggingface_hub
-huggingface-cli login
-huggingface-cli upload your-username/micro-distillery-bigram . --repo-type model
-```
-
-The `model.json` file is not a transformer checkpoint - use `test.py` to run it.
-`config.json` is provided for HF metadata and Datasets viewer compatibility.
 
 ## Data Sources