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| # hollr | ||
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| An R package providing a unified interface for text completion via local | ||
| An R package providing a unified interface for chat completion via local | ||
| and cloud-based LLMs, tailored for text annotation tasks. | ||
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| #### Features | ||
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| ------------------------------------------------------------------------ | ||
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| ## Conda environment & reticulate | ||
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| ``` bash | ||
| # Create and activate a new conda environment with Python 3.9 | ||
| conda create -n llm_base python=3.9 -y | ||
| conda activate llm_base | ||
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| # Update all packages in the environment | ||
| conda update --all -y | ||
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| # Install required packages with conda | ||
| conda install nmslib pandas numpy spacy -c conda-forge -y | ||
| conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia -y | ||
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| # Install additional packages with pip | ||
| pip install transformers packaging ninja flash-attn --no-build-isolation accelerate protobuf auto-gptq \ | ||
| "git+https://github.com/PanQiWei/[email protected]" optimum tiktoken sentencepiece | ||
| ``` | ||
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| ``` r | ||
| # Set environment variables and use conda environment | ||
| Sys.setenv(RETICULATE_PYTHON = file.path(miniconda_path, "envs", env_name, "bin/python")) | ||
| reticulate::use_condaenv(condaenv = env_name, conda = file.path(miniconda_path, "bin/conda")) | ||
| ``` | ||
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| ## Some prompts and data | ||
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| ### Sample prompts | ||
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@@ -182,16 +157,16 @@ class_task1 |> knitr::kable() | |
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| | id | annotator_id | attempts | success | pol_ideo | survey_long | demo_geo | health_policy | misinfo_media_trust | | ||
| |:------|:--------|------:|:-----|:------|:--------|:------|:---------|:-------------| | ||
| | 30247057 | 1mqmCu6hCS | 1 | TRUE | TRUE | TRUE | FALSE | FALSE | TRUE | | ||
| | 37947551 | 1mqmCu6hCS | 1 | TRUE | TRUE | FALSE | TRUE | TRUE | FALSE | | ||
| | 28895229 | 1mqmCu6hCS | 1 | TRUE | TRUE | FALSE | FALSE | TRUE | FALSE | | ||
| | 34341651 | 1mqmCu6hCS | 1 | TRUE | TRUE | TRUE | TRUE | TRUE | FALSE | | ||
| | 25316309 | 1mqmCu6hCS | 1 | TRUE | FALSE | FALSE | FALSE | TRUE | FALSE | | ||
| | 22904584 | 1mqmCu6hCS | 1 | TRUE | TRUE | FALSE | FALSE | FALSE | FALSE | | ||
| | 7183563 | 1mqmCu6hCS | 1 | TRUE | TRUE | TRUE | FALSE | TRUE | FALSE | | ||
| | 33199928 | 1mqmCu6hCS | 1 | TRUE | TRUE | TRUE | TRUE | TRUE | FALSE | | ||
| | 35270435 | 1mqmCu6hCS | 1 | TRUE | TRUE | TRUE | TRUE | FALSE | FALSE | | ||
| | 35250760 | 1mqmCu6hCS | 1 | TRUE | TRUE | TRUE | TRUE | FALSE | FALSE | | ||
| | 30247057 | os8UHcrJQG | 1 | TRUE | TRUE | TRUE | FALSE | FALSE | TRUE | | ||
| | 37947551 | os8UHcrJQG | 1 | TRUE | TRUE | FALSE | TRUE | TRUE | FALSE | | ||
| | 28895229 | os8UHcrJQG | 1 | TRUE | TRUE | FALSE | FALSE | TRUE | FALSE | | ||
| | 34341651 | os8UHcrJQG | 1 | TRUE | TRUE | TRUE | TRUE | TRUE | FALSE | | ||
| | 25316309 | os8UHcrJQG | 1 | TRUE | FALSE | FALSE | TRUE | TRUE | FALSE | | ||
| | 22904584 | os8UHcrJQG | 1 | TRUE | TRUE | TRUE | FALSE | FALSE | FALSE | | ||
| | 7183563 | os8UHcrJQG | 1 | TRUE | TRUE | TRUE | TRUE | TRUE | FALSE | | ||
| | 33199928 | os8UHcrJQG | 1 | TRUE | TRUE | TRUE | TRUE | TRUE | FALSE | | ||
| | 35270435 | os8UHcrJQG | 1 | TRUE | TRUE | TRUE | TRUE | FALSE | FALSE | | ||
| | 35250760 | os8UHcrJQG | 1 | TRUE | TRUE | TRUE | TRUE | FALSE | FALSE | | ||
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| ### Parallel processing | ||
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| ## Local LLMs | ||
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| ### Conda environment & reticulate | ||
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| > For running local models. | ||
| ``` bash | ||
| # Create and activate a new conda environment with Python 3.9 | ||
| conda create -n llm_base python=3.9 -y | ||
| conda activate llm_base | ||
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| # Update all packages in the environment | ||
| conda update --all -y | ||
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| # Install required packages with conda | ||
| conda install nmslib pandas numpy spacy -c conda-forge -y | ||
| conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia -y | ||
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| # Install additional packages with pip | ||
| pip install transformers packaging ninja flash-attn --no-build-isolation accelerate protobuf auto-gptq \ | ||
| "git+https://github.com/PanQiWei/[email protected]" optimum tiktoken sentencepiece | ||
| ``` | ||
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| ``` r | ||
| # Set environment variables and use conda environment | ||
| Sys.setenv(RETICULATE_PYTHON = file.path(miniconda_path, "envs", env_name, "bin/python")) | ||
| reticulate::use_condaenv(condaenv = env_name, conda = file.path(miniconda_path, "bin/conda")) | ||
| ``` | ||
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| ``` r | ||
| llm = 'meta-llama/Meta-Llama-3.1-8B-Instruct' | ||
| ``` | ||
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| ### Sequential | ||
| ### Sequential processing | ||
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| ``` r | ||
| local_seq <- hollr::hollr( | ||
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