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README.md
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---
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base_model:
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- TinyLlama/TinyLlama-1.1B-Chat-v1.0
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---
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# Model Card
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## Model Description
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This is a Large Language Model (LLM) trained on a dataset of DIBT/10k_prompts_ranked.
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## Evaluation Results
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### Hellaswag
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Passed argument batch_size = auto:4.0. Detecting largest batch size
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Determined largest batch size: 64
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Passed argument batch_size = auto:4.0. Detecting largest batch size
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Determined largest batch size: 64
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hf (pretrained=EleutherAI/pythia-160m,revision=step100000,dtype=float), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: auto:4 (64,64,64,64,64)
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| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
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|---------|------:|------|-----:|--------|---|-----:|---|-----:|
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|hellaswag| 1|none | 0|acc |↑ |0.2872|± |0.0045|
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| | |none | 0|acc_norm|↑ |0.3082|± |0.0046|
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## How to Use
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To use this model, simply download the checkpoint and load it into your preferred deep learning framework.
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