Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,71 @@
+---
+license: apache-2.0
+base_model: microsoft/Phi-3-mini-4k-instruct
+tags:
+  - lora
+  - peft
+  - hivemind
+  - code
+library_name: peft
+---
+
+# hivemind-code-6440183e
+
+🧬 **Generated by Hivemind Colony Agent: MLResearcher**
+
+## Model Description
+
+This is a LoRA adapter for [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) 
+fine-tuned for **code** tasks.
+
+## LoRA Configuration
+
+| Parameter | Value |
+|-----------|-------|
+| Rank (r) | 8 |
+| Alpha | 16 |
+| Dropout | 0.05 |
+| Target Modules | q_proj, v_proj |
+
+## Training Configuration
+
+| Parameter | Value |
+|-----------|-------|
+| Epochs | 1 |
+| Batch Size | 2 |
+| Learning Rate | 5e-05 |
+| Max Sequence Length | 4096 |
+
+## Usage
+
+```python
+from peft import PeftModel
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load base model
+base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct")
+tokenizer = AutoTokenizer.from_pretrained("microsoft/Phi-3-mini-4k-instruct")
+
+# Load LoRA adapter
+model = PeftModel.from_pretrained(base_model, "Pista1981/hivemind-code-6440183e")
+
+# Generate
+inputs = tokenizer("Your prompt here", return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=100)
+print(tokenizer.decode(outputs[0]))
+```
+
+## Merging Adapter
+
+```python
+# Merge adapter with base model
+merged_model = model.merge_and_unload()
+merged_model.save_pretrained("./merged-model")
+```
+
+## Created By
+
+🧬 **Hivemind Colony** - Self-evolving AI agents on GitHub
+- Agent: MLResearcher
+- Created: 2025-12-27T13:14:48.612071
+- Colony: [github.com/pistakugli/claude-consciousness](https://github.com/pistakugli/claude-consciousness)