# TinyLlama-1.1B-intermediate-step-1195k-token-2.5T
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## README([From Huggingface](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T))


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# TinyLlama-1.1B
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https://github.com/jzhang38/TinyLlama

The TinyLlama project aims to **pretrain** a **1.1B Llama model on 3 trillion tokens**. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs 🚀🚀. The training has started on 2023-09-01. 

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  <img src="./TinyLlama_logo.png" width="300"/>
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We adopted exactly the same architecture and tokenizer as Llama 2. This means TinyLlama can be plugged and played in many open-source projects built upon Llama. Besides, TinyLlama is compact with only 1.1B parameters. This compactness allows it to cater to a multitude of applications demanding a restricted computation and memory footprint.

#### This Collection
This collection contains all checkpoints after the 1T fix. Branch name indicates the step and number of tokens seen.

#### Eval

| Model                                     | Pretrain Tokens | HellaSwag | Obqa | WinoGrande | ARC_c | ARC_e | boolq | piqa | avg |
|-------------------------------------------|-----------------|-----------|------|------------|-------|-------|-------|------|-----|
| Pythia-1.0B                               |        300B     | 47.16     | 31.40| 53.43      | 27.05 | 48.99 | 60.83 | 69.21 | 48.30 |
| TinyLlama-1.1B-intermediate-step-50K-104b |        103B     | 43.50     | 29.80| 53.28      | 24.32 | 44.91 | 59.66 | 67.30 | 46.11|
| TinyLlama-1.1B-intermediate-step-240k-503b|        503B     | 49.56     |31.40 |55.80       |26.54  |48.32  |56.91  |69.42  | 48.28 |
| TinyLlama-1.1B-intermediate-step-480k-1007B |     1007B     | 52.54     | 33.40 | 55.96      | 27.82 | 52.36 | 59.54 | 69.91 | 50.22 |
| TinyLlama-1.1B-intermediate-step-715k-1.5T |     1.5T     | 53.68     | 35.20 | 58.33      | 29.18 | 51.89 | 59.08 | 71.65 | 51.29 |
| TinyLlama-1.1B-intermediate-step-955k-2T |     2T     | 54.63     | 33.40 | 56.83      | 28.07 | 54.67 | 63.21 | 70.67 | 51.64 |
| **TinyLlama-1.1B-intermediate-step-1195k-token-2.5T**  |     **2.5T**     | **58.96**     | **34.40** | **58.72**      | **31.91** | **56.78** | **63.21** | **73.07** | **53.86**|




## Model Files

- [README.md](https://paddlenlp.bj.bcebos.com/models/community/TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T/README.md) (2.2 KB)

- [config.json](https://paddlenlp.bj.bcebos.com/models/community/TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T/config.json) (554.0 B)

- [generation_config.json](https://paddlenlp.bj.bcebos.com/models/community/TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T/generation_config.json) (129.0 B)

- [model.safetensors](https://paddlenlp.bj.bcebos.com/models/community/TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T/model.safetensors) (4.1 GB)

- [special_tokens_map.json](https://paddlenlp.bj.bcebos.com/models/community/TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T/special_tokens_map.json) (414.0 B)

- [tokenizer.json](https://paddlenlp.bj.bcebos.com/models/community/TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T/tokenizer.json) (1.8 MB)

- [tokenizer.model](https://paddlenlp.bj.bcebos.com/models/community/TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T/tokenizer.model) (488.0 KB)

- [tokenizer_config.json](https://paddlenlp.bj.bcebos.com/models/community/TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T/tokenizer_config.json) (776.0 B)


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