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Parent(s):
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Add instructions on how to deploy and add new models
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README.md
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@@ -11,7 +11,91 @@ short_description: A Unified Evaluation of LLMs for RTL Generation.
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sdk_version: 5.19.0
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---
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## License
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This project is licensed under the Apache License 2.0.
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See the [LICENSE](./LICENSE) and [NOTICE](./NOTICE) files for more details.
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sdk_version: 5.19.0
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---
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## Quick Introduction
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### Prerequisites
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- **Python 3.11** or higher (required by the project)
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- **[uv](https://docs.astral.sh/uv/getting-started/installation/)** for managing dependencies
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#### Installing uv
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On macOS and Linux:
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```bash
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curl -LsSf https://astral.sh/uv/install.sh | sh
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```
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Install dependencies:
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```bash
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uv sync
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```
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### Deploy Locally
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```
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$ uv run app.py
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* Running on local URL: http://127.0.0.1:7860
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* To create a public link, set `share=True` in `launch()`.
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```
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Then on localhost http://127.0.0.1:7860 you should have the leaderboard running
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### Add new models
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If you are from outside of HPAI you must directly modify the `results/results_icarus.json` and `results/results_verilator.json` files.
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If you are from HPAI, you can add your model onto our shared `.csv` file of results and follow these steps:
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1. Modify the `results/parse.py` file, `model_details` variable to include a new entry for your model
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For example, if we wish to include the classic GPT2 model, we would add the following metadata:
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```python
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model_details = {
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...
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"GPT2": ( # model name
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"https://huggingface.co/openai-community/gpt2", # model url
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0.13, # params (in B)
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"Coding", # model type: `General`, `Coding`, `RTL-Specific`
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"V1", # release of the TuRTLe Leaderboard
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),
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}
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```
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2. Parse the CSV files onto JSON, which is what the Leaderboard will take as ground truth
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```
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$ uv run results/parse.py results/results_v3_mlcad_icarus.csv # will generate results/results_v3_mlcad_icarus.json
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$ uv run results/parse.py results/results_v3_mlcad_verilator.csv # will generate results/results_v3_mlcad_verilator.json
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```
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The application is hardcoded to look for `results_icarus.json` and `results_verilator.json.` Rename the files you just created:
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```
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$ mv results/results_v3_mlcad_icarus.json results/results_icarus.json
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$ mv results/results_v3_mlcad_verilator.json results/results_verilator.json
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```
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3. Compute the aggregated scores
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This will generate the corresponding `aggregated_scores` files that the leaderboard uses for some of its views.
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```
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$ uv run results/compute_agg_results.py results/results_v3_mlcad_icarus.csv
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$ uv run results/compute_agg_results.py results/results_v3_mlcad_verilator.csv
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```
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This will create `aggregated_scores_v3_mlcad_icarus.csv` and `aggregated_scores_v3_mlcad_verilator.csv`. Rename them to what the application expects:
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```
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$ mv results/aggregated_scores_v3_mlcad_icarus.csv results/aggregated_scores_icarus.csv
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$ mv results/aggregated_scores_v3_mlcad_verilator.csv results/aggregated_scores_verilator.csv
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```
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## License
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This project is licensed under the Apache License 2.0.
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See the [LICENSE](./LICENSE) and [NOTICE](./NOTICE) files for more details.
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