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README.md
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@@ -86,6 +86,12 @@ The control-vectors in this repo were created as an experiment by combining two
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I also tried using 3 different values for the `--regularisation_factor` option; `1.0` (the default), `0.5` and `0.0`:
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```sh
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python create_control_vectors.py --model_id ./Mistral-Large-Instruct-2407 --output_path Mistral-Large-Instruct-2407_alignment_ --system_prompt_file data/system_messages_alignment.json --prompt_file data/prompts.txt --num_prompt_sample 500 --regularisation_factor 1.0
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python create_control_vectors.py --model_id ./Mistral-Large-Instruct-2407 --output_path Mistral-Large-Instruct-2407_alignment_ --system_prompt_file data/system_messages_alignment.json --prompt_file data/prompts.txt --num_prompt_sample 500 --regularisation_factor 0.5
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python create_control_vectors.py --model_id ./c4ai-command-r-plus --output_path Mistral-Large-Instruct-2407_alignment_ --system_prompt_file data/system_messages_alignment.json --prompt_file data/prompts.txt --num_prompt_sample 500 --regularisation_factor 0.0
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```
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- [regularisation_factor = 0.0](https://huggingface.co/jukofyork/creative-writing-control-vectors-v2.1.1-EXPERIMENTAL/tree/main/regularisation_factor%20%3D%200.0)
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- [regularisation_factor = 0.5](https://huggingface.co/jukofyork/creative-writing-control-vectors-v2.1.1-EXPERIMENTAL/tree/main/regularisation_factor%20%3D%200.5)
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- [regularisation_factor = 1.0](https://huggingface.co/jukofyork/creative-writing-control-vectors-v2.1.1-EXPERIMENTAL/tree/main/regularisation_factor%20%3D%201.0)
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Please leave feedback if you find these useful and I will consider running the same on the other 9 models in the main [creative-writing-control-vectors-v2.1](https://huggingface.co/jukofyork/creative-writing-control-vectors-v2.1) repo.
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I also tried using 3 different values for the `--regularisation_factor` option; `1.0` (the default), `0.5` and `0.0`:
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- [regularisation_factor = 0.0](https://huggingface.co/jukofyork/creative-writing-control-vectors-v2.1.1-EXPERIMENTAL/tree/main/regularisation_factor%20%3D%200.0)
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- [regularisation_factor = 0.5](https://huggingface.co/jukofyork/creative-writing-control-vectors-v2.1.1-EXPERIMENTAL/tree/main/regularisation_factor%20%3D%200.5)
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- [regularisation_factor = 1.0](https://huggingface.co/jukofyork/creative-writing-control-vectors-v2.1.1-EXPERIMENTAL/tree/main/regularisation_factor%20%3D%201.0)
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Created using:
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```sh
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python create_control_vectors.py --model_id ./Mistral-Large-Instruct-2407 --output_path Mistral-Large-Instruct-2407_alignment_ --system_prompt_file data/system_messages_alignment.json --prompt_file data/prompts.txt --num_prompt_sample 500 --regularisation_factor 1.0
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python create_control_vectors.py --model_id ./Mistral-Large-Instruct-2407 --output_path Mistral-Large-Instruct-2407_alignment_ --system_prompt_file data/system_messages_alignment.json --prompt_file data/prompts.txt --num_prompt_sample 500 --regularisation_factor 0.5
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python create_control_vectors.py --model_id ./c4ai-command-r-plus --output_path Mistral-Large-Instruct-2407_alignment_ --system_prompt_file data/system_messages_alignment.json --prompt_file data/prompts.txt --num_prompt_sample 500 --regularisation_factor 0.0
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```
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Please leave feedback if you find these useful and I will consider running the same on the other 9 models in the main [creative-writing-control-vectors-v2.1](https://huggingface.co/jukofyork/creative-writing-control-vectors-v2.1) repo.
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