Create README.md

README.md

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+---
+license: cc-by-nc-4.0
+datasets:
+  - iamtarun/python_code_instructions_18k_alpaca
+language:
+  - en
+base_model: Pacific-Prime/pacific-prime-code
+tags:
+  - code
+  - python
+  - i64
+  - complexity-deep
+  - sft
+pipeline_tag: text-generation
+library_name: transformers
+---
+
+# Pacific-Prime: Python Node
+
+**Pure Python specialist** fine-tuned from Pacific-Prime Code (I64 architecture, 1.5B parameters).
+
+## Skills
+
+- Python basics & standard library
+- Algorithms & data structures
+- Object-oriented programming
+- Decorators & generators
+- List comprehensions
+- File I/O & error handling
+
+## Training
+
+- **Architecture**: I64 (Complexity-Deep)
+- **Parameters**: 1.5B
+- **Base model**: pacific-prime-code (checkpoint epoch 70)
+- **Method**: Full SFT (no LoRA)
+- **Dataset**: python_code_instructions_18k_alpaca (18K samples)
+- **Epochs**: 1000
+- **Max context**: 4096 tokens
+
+## Inference with vLLM-I64
+
+Use our custom vLLM engine with native I64 support:
+
+**[vllm-i64](https://github.com/Complexity-ML/vllm-i64)**
+
+```bash
+git clone https://github.com/Complexity-ML/vllm-i64.git
+cd vllm-i64
+pip install -e .
+```
+
+```python
+from vllm import LLM, SamplingParams
+
+model = LLM(model="Pacific-Prime/python-node")
+params = SamplingParams(temperature=0.7, max_tokens=4096)
+
+prompt = "User: Write a Python function to find the longest common subsequence of two strings.\nAssistant:"
+output = model.generate([prompt], params)
+print(output[0].outputs[0].text)
+```
+
+## Serve Your Own I64 Model
+
+Trained your own I64 model with [complexity-deep](https://github.com/Complexity-ML/complexity-deep)? Serve it with vllm-i64:
+
+```python
+from vllm import LLM, SamplingParams
+
+model = LLM(model="/path/to/your/i64-model")
+params = SamplingParams(temperature=0.7, max_tokens=4096)
+output = model.generate(["User: Hello!\nAssistant:"], params)
+print(output[0].outputs[0].text)
+```
+
+## Links
+
+- [Complexity-Deep](https://github.com/Complexity-ML/complexity-deep) — Training framework & architecture
+- [vllm-i64](https://github.com/Complexity-ML/vllm-i64) — Inference engine for I64 models
+
+## License
+
+CC BY-NC 4.0