fix: clarify how to use lm_eval plugin (#3404) [skip ci]
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@@ -210,6 +210,8 @@ axolotl lm-eval config.yml
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Configuration options:
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```yaml
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lm_eval_model: # model to evaluate (local or hf path)
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# List of tasks to evaluate
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lm_eval_tasks:
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- arc_challenge
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@@ -218,7 +220,7 @@ lm_eval_batch_size: # Batch size for evaluation
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output_dir: # Directory to save evaluation results
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```
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See [LM Eval Harness](https://github.com/EleutherAI/lm-evaluation-harness) for more details.
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See [LM Eval Harness integration docs](https://docs.axolotl.ai/docs/custom_integrations.html#language-model-evaluation-harness-lm-eval) for full configuration details.
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### delinearize-llama4
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