| | --- |
| | language: |
| | - en |
| | base_model: |
| | - meta-llama/Llama-2-7b-hf |
| | pipeline_tag: text-generation |
| | tags: |
| | - cefr |
| | - controllable_generation |
| | - langauge |
| | --- |
| | |
| | # CEFF-Aligned Language Model (CaLM) |
| |
|
| | This is a model card for the CEFF-Aligned Language Model (CaLM) from the paper: From Tarzan to Tolkien: Controlling the Language Proficiency Level of LLMs for Content Generation |
| |
|
| | - **Paper**: https://aclanthology.org/2024.findings-acl.926 |
| | - **Arxiv**: https://arxiv.org/abs/2406.03030 |
| | - **Github**: https://github.com/malik-ali/tarzan2tolkien |
| |
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| |
|
| | ## Prompt Template |
| | The model text template looks like |
| |
|
| | ``` |
| | <<Summary>>: {summary} |
| | <<CEFR>>: {cefr} |
| | <<Story>>: |
| | {story} |
| | <</Story>> |
| | ``` |
| |
|
| | where you replace `{summary}` with the summary of the desired story to generate and `{cefr}` with the desired CEFR level is one of `["A1", "A2", "B1", "B2", "C1", "C2"]`. |
| |
|
| | To generate, you can add the summary and target CEFR level and just start generating after the `<<Story>>:\n `. See the Github repo for examples. |
| |
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