anthonym21
/

pinescript-v5-instructions-merged

@@ -1,199 +1,132 @@
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 library_name: transformers
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 ---
+license: apache-2.0
+language:
+- en
 library_name: transformers
+pipeline_tag: text-generation
+tags:
+- pinescript
+- tradingview
+- code-generation
+- finance
+- trading
+- codegemma
+- fine-tuned
+base_model: google/codegemma-7b-it
+datasets:
+- anthonym21/pinescript-v5-instructions
+model-index:
+- name: pinescript-v5-instructions-merged
+  results: []
 ---
+# PineScript v5 Code Generator
+A fine-tuned CodeGemma 7B model specialized in generating TradingView PineScript v5 code for trading indicators, strategies, and libraries.
+## Model Description
+This model was fine-tuned on 5,000+ PineScript v5 examples from the [PineScripts-Permissive](https://huggingface.co/datasets/mrmegatelo/PineScripts-Permissive) dataset, which contains high-quality, permissively-licensed scripts from TradingView.
+- **Base Model:** [google/codegemma-7b-it](https://huggingface.co/google/codegemma-7b-it)
+- **Fine-tuning Method:** QLoRA (4-bit quantization + LoRA adapters)
+- **Training Data:** 4,774 instruction/response pairs
+- **Context Length:** 4096 tokens
+## Intended Use
+Generate PineScript v5 code for:
+- Technical indicators (RSI, MACD, Bollinger Bands, custom indicators)
+- Trading strategies with backtesting
+- Reusable libraries
+- Alert conditions
+- Custom visualizations
+## Usage
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+model_id = "anthonym21/pinescript-v5-instructions-merged"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+def generate_pinescript(prompt, max_tokens=1024):
+    formatted = f"### Human: {prompt}\n### Assistant:"
+    inputs = tokenizer(formatted, return_tensors="pt").to(model.device)
+    outputs = model.generate(
+        **inputs,
+        max_new_tokens=max_tokens,
+        temperature=0.7,
+        top_p=0.9,
+        do_sample=True,
+        pad_token_id=tokenizer.eos_token_id,
+    )
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response.split("### Assistant:")[-1].strip()
+# Example
+code = generate_pinescript("Write a PineScript v5 RSI indicator with overbought/oversold zones")
+print(code)
+```
+## Example Prompts
+| Prompt | Description |
+|--------|-------------|
+| "Write a PineScript v5 indicator that shows RSI with dynamic overbought/oversold levels" | RSI with adaptive levels |
+| "Create a MACD crossover strategy with stop loss and take profit" | Complete trading strategy |
+| "Write a Bollinger Bands indicator with squeeze detection" | Volatility indicator |
+| "Create a multi-timeframe moving average indicator" | MTF analysis tool |
 ## Training Details
+| Parameter | Value |
+|-----------|-------|
+| Epochs | 3 |
+| Batch Size | 2 |
+| Gradient Accumulation | 8 |
+| Learning Rate | 2e-4 |
+| LoRA r | 64 |
+| LoRA alpha | 128 |
+| Max Seq Length | 4096 |
+| Quantization | 4-bit (nf4) |
+## Limitations
+- Generates PineScript v5 syntax; may not be compatible with older versions
+- Code should be reviewed and tested before live trading
+- Complex multi-indicator strategies may require refinement
+- Does not provide financial advice
+## Dataset
+Training data sourced from [mrmegatelo/PineScripts-Permissive](https://huggingface.co/datasets/mrmegatelo/PineScripts-Permissive):
+- 5,848 PineScript v5 scripts
+- Filtered to 4,774 high-quality examples
+- Includes indicators, strategies, and libraries
+- All scripts under permissive licenses (MPL-2.0, Apache-2.0)
+## Citation
+```bibtex
+@misc{pinescript-v5-instructions-merged,
+  author = {Anthony Maio},
+  title = {PineScript v5 Code Generator},
+  year = {2025},
+  publisher = {HuggingFace},
+  url = {https://huggingface.co/anthonym21/pinescript-v5-instructions-merged}
+}
+```
+## License
+Apache 2.0 (same as base model)