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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+baby-llama-58m - bnb 4bits
+- Model creator: https://huggingface.co/timinar/
+- Original model: https://huggingface.co/timinar/baby-llama-58m/
+
+
+
+
+Original model description:
+---
+license: unknown
+language:
+- en
+---
+
+# Baby Llama
+
+Our submission to the `strict-small` track of the [BabyLM challenge](https://babylm.github.io/index.html).
+
+Baby Llama is a 58M-parameter model, distilled from an ensemble consisting of LLaMA-360M and GPT2-705M, both trained on the `babylm_10M` dataset.
+
+See the associated [paper](https://arxiv.org/abs/2308.02019) for a detailed discussion of the training procedure and of the model performance.
+The training code is available at [https://github.com/timinar/BabyLlama](https://github.com/timinar/BabyLlama).
+
+### Hyperparameters for the tasks that require fine-tuning
+
+When evaluating the model on the [tasks that require fine-tuning](https://github.com/babylm/evaluation-pipeline/tree/main#fine-tuning),
+we noticed that the [default hyperparameters](https://github.com/babylm/evaluation-pipeline/tree/main#hyperparameters)
+suggested by the BabyLM organizers lead to severe overfitting in a number of tasks.
+To avoid this issue, we have re-tuned those hyperparameters.
+The sets of hyperparameters selected for each task are listed in the table below.
+
+| Task | Maximum learning rate | Batch size | Maximum epochs | Patience | Evaluate every (steps) | Random seed |
+| ---- | ------------- | ---------- | -------- | -------- | ---------- | ---- |
+| CoLA | 4e-5 | 64 | 3 | 10 | 20 | 12 |
+| SST-2 | 5e-5 | 64 | 6 | 10 | 200 | 12 |
+| MRPC | 3e-5 | 64 | 3 | 10 | 20 | 12 |
+| QQP | 4e-5 | 64 | 10 | 10 | 1000 | 12 |
+| MNLI | 5e-5 | 64 | 6 | 10 | 200 | 12 |
+| MNLI-mm |5e-5 | 64 | 6 | 10 | 200 | 12 |
+| QNLI | 5e-5 | 64 | 6 | 10 | 200 | 12 |
+| RTE | 5e-5 | 64 | 6 | 10 | 200 | 12 |
+| BoolQ | 3e-4 | 16 | 10 | 10 | 10| 12 |
+| MultiRC | 1e-4 | 64 | 7 | 10 | 1000 | 42 |
+| WSC | 5e-7 | 1 | 10 | 1000 | 2000 | 12 |
+| CR (Control) | 5e-5 | 64 | 10 | 10 | 100 | 12 |
+| LC (Control) | 1e-3 | 64 | 1 | 2 | 10 | 12 |
+| MV (Control) | 5e-5 | 64 | 6 | 10 | 200 | 12 |
+| RP (Control) | 1e-3 | 64 | 1 | 10 | 10 | 12 |
+| SC (Control) | 1e-3 | 64 | 2 | 10 | 10 | 12 |
+| CR\_LC | 1e-3 | 64 | 2 | 10 | 10 | 12 |
+| CR\_RTP | 5e-5 | 64 | 6 | 10 | 200 | 12 |
+| MV\_LC | 5e-5 | 64 | 6 | 10 | 200 | 12 |
+| MV\_RTP | 5e-5 | 64 | 6 | 10 | 200 | 12 |
+| SC\_LC | 1e-3 | 64 | 2 | 10 | 10 | 12 |
+| SC\_RP | 1e-3 | 64 | 2 | 10 | 10 | 12 |
+