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README.md

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----
-license: mit
----
+# cosmosage
+
+https://github.com/tijmen/cosmosage
+
+## Introduction
+
+Large language models are emerging as powerful tools for many natural language tasks. Very large parameter counts of 1e11 or more are needed for a general-purpose model such as GPT-4. However, even small models can be extremely powerful if the application is sufficiently narrow.
+
+cosmosage is an attempt to fine-tune a relatively modest large language model on cosmology-specific datasets with the goal of making a general-purpose natural-language assistant for cosmologists.
+
+## Author
+
+Tijmen de Haan <[email protected]>
+
+## Project Structure
+
+A walkthrough of the project is given in iPython Notebook format in `cosmosage.ipynb`. This notebook walks through the several-step process for fine-tuning the language model on cosmology-specific datasets. It goes through steps for data collection, preprocessing, model training, and evaluation.
+
+## Syntax, Code Style, Tools Used
+
+The .py files are kept consistently formatted with `black` on its default settings.
+
+The codebase was written with the use of Pylance, GitHub Copilot, GPT-4, and VSCode fork `cursor`.
+
+## Usage
+
+To get started with cosmosage:
+- Ensure you have Jupyter Notebook and the required dependencies
+- Open and follow the steps in `cosmosage.ipynb` for a guide to training and using the model.
+
+## Contributing
+
+If you'd like to get involved, please contact me at <[email protected]>
+
+## License
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

config.json

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+{
+  "_name_or_path": "cosmosage_v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

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