| | --- |
| | language: |
| | - en |
| | - fr |
| | - es |
| | - pt |
| | tags: |
| | - falcon3 |
| | - rkllm |
| | license: other |
| | license_name: falcon-llm-license |
| | license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html |
| | library_name: rkllm |
| | base_model: |
| | - tiiuae/Falcon3-7B-Base |
| | --- |
| | |
| | <div align="center"> |
| | <img src="https://huggingface.co/datasets/tiiuae/documentation-images/resolve/main/general/falco3-logo.png" alt="drawing" width="500"/> |
| | </div> |
| | |
| | # Falcon3-7B-Base |
| |
|
| | **Falcon3** family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B. |
| |
|
| | This repository contains the **Falcon3-7B-Base**. It achieves state of art results (at the time of release) on reasoning, language understanding, instruction following, code and mathematics tasks. |
| | Falcon3-7B-Base supports 4 languages (english, french, spanish, portuguese) and a context length up to 32K. |
| |
|
| | ⚠️ **This is a raw, pretrained model, which should be further finetuned for most usecases.** |
| |
|
| | ## Model Details |
| | - Architecture |
| | - transformer based causal decoder only architecture |
| | - 28 decoder blocks |
| | - grouped query attention (GQA) for faster inference: 12 query heads and 4 KV heads |
| | - wider head dimension: 256 |
| | - high RoPE value to support long context understanding: 1000042 |
| | - 32k context length |
| | - 131k vocab size |
| | - Pretrained on 14 Teratokens of datasets comprising of web, code, STEM, high quality and mutlilingual data using 1024 H100 GPU chips |
| | - Supports EN, FR, ES, PT |
| | - Developed by [Technology Innovation Institute](https://www.tii.ae) |
| | - License: TII Falcon-LLM License 2.0 |
| | - Model Release Date: December 2024 |
| |
|
| |
|
| | ## Getting started |
| |
|
| | <details> |
| | <summary> Click to expand </summary> |
| |
|
| | ```python |
| | import torch |
| | from transformers import pipeline |
| | |
| | pipe = pipeline( |
| | "text-generation", |
| | model="tiiuae/Falcon3-7B-Base", |
| | torch_dtype=torch.bfloat16, |
| | device_map="auto" |
| | ) |
| | response = pipe("Question: How many hours in one day? Answer: ") |
| | print(response[0]['generated_text']) |
| | ``` |
| |
|
| | </details> |
| |
|
| | <br> |
| |
|
| | ## Benchmarks |
| | We report in the following table our internal pipeline benchmarks. |
| | - We use [lm-evaluation harness](https://github.com/EleutherAI/lm-evaluation-harness). |
| | - We report **raw scores**. |
| | - We use same batch-size across all models. |
| |
|
| |
|
| |
|
| | <table border="1" style="width: 100%; text-align: center; border-collapse: collapse;"> |
| | <colgroup> |
| | <col style="width: 10%;"> |
| | <col style="width: 10%;"> |
| | <col style="width: 7%;"> |
| | <col style="width: 7%;"> |
| | <col style="width: 7%;"> |
| | <col style="width: 7%;"> |
| | <col style="background-color: rgba(80, 15, 213, 0.5); width: 7%;"> |
| | </colgroup> |
| | <thead> |
| | <tr> |
| | <th>Category</th> |
| | <th>Benchmark</th> |
| | <th>Llama3.1-8B</th> |
| | <th>Qwen2-7B</th> |
| | <th>Qwen2.5-7B</th> |
| | <th>gemma-2-9b</th> |
| | <th>Falcon3-7B-Base</th> |
| | </tr> |
| | </thead> |
| | <tbody> |
| | <tr> |
| | <td rowspan="3">General</td> |
| | <td>MMLU (5-shot)</td> |
| | <td>65.2</td> |
| | <td>70.4</td> |
| | <td>74.2</td> |
| | <td>-</td> |
| | <td>67.5</td> |
| | </tr> |
| | <tr> |
| | <td>MMLU-PRO (5-shot)</td> |
| | <td>32.7</td> |
| | <td>42.1</td> |
| | <td>43.5</td> |
| | <td>-</td> |
| | <td>39.2</td> |
| | </tr> |
| | <tr> |
| | <td>IFEval</td> |
| | <td>12.0</td> |
| | <td>30.6</td> |
| | <td>33.9</td> |
| | <td>-</td> |
| | <td>34.3</td> |
| | </tr> |
| | <tr> |
| | <td rowspan="2">Math</td> |
| | <td>GSM8K (5-shot)</td> |
| | <td>49.4</td> |
| | <td>77.9</td> |
| | <td>82.9</td> |
| | <td>-</td> |
| | <td>76.2</td> |
| | </tr> |
| | <tr> |
| | <td>MATH(4-shot)</td> |
| | <td>4.1</td> |
| | <td>17.5</td> |
| | <td>15.5</td> |
| | <td>-</td> |
| | <td>18.0</td> |
| | </tr> |
| | <tr> |
| | <td rowspan="4">Reasoning</td> |
| | <td>Arc Challenge (25-shot)</td> |
| | <td>53.4</td> |
| | <td>57.4</td> |
| | <td>59.0</td> |
| | <td>-</td> |
| | <td>59.6</td> |
| | </tr> |
| | <tr> |
| | <td>GPQA (0-shot)</td> |
| | <td>31.0</td> |
| | <td>31.9</td> |
| | <td>33.0</td> |
| | <td>-</td> |
| | <td>35.5</td> |
| | </tr> |
| | <tr> |
| | <td>MUSR (0-shot)</td> |
| | <td>38.0</td> |
| | <td>44.1</td> |
| | <td>44.2</td> |
| | <td>-</td> |
| | <td>47.3</td> |
| | </tr> |
| | <tr> |
| | <td>BBH (3-shot)</td> |
| | <td>46.5</td> |
| | <td>53.3</td> |
| | <td>54.0</td> |
| | <td>-</td> |
| | <td>51.0</td> |
| | </tr> |
| | <tr> |
| | <td rowspan="4">CommonSense Understanding</td> |
| | <td>PIQA (0-shot)</td> |
| | <td>80.3</td> |
| | <td>79.8</td> |
| | <td>78.7</td> |
| | <td>-</td> |
| | <td>77.7</td> |
| | </tr> |
| | <tr> |
| | <td>SciQ (0-shot)</td> |
| | <td>96.3</td> |
| | <td>95.9</td> |
| | <td>96.6</td> |
| | <td>-</td> |
| | <td>95.3</td> |
| | </tr> |
| | <tr> |
| | <td>Winogrande (0-shot)</td> |
| | <td>74.0</td> |
| | <td>72.1</td> |
| | <td>72.9</td> |
| | <td>-</td> |
| | <td>71.0</td> |
| | </tr> |
| | <tr> |
| | <td>OpenbookQA (0-shot)</td> |
| | <td>33.4</td> |
| | <td>35.2</td> |
| | <td>33.6</td> |
| | <td>-</td> |
| | <td>31.4</td> |
| | </tr> |
| | </tbody> |
| | </table> |
| | |
| | ## Useful links |
| | - View our [release blogpost](https://huggingface.co/blog/falcon3). |
| | - Feel free to join [our discord server](https://discord.gg/fwXpMyGc) if you have any questions or to interact with our researchers and developers. |
| |
|
| | ## Technical Report |
| |
|
| | Coming soon.... |
| |
|
| | ## Citation |
| | If Falcon3 family were helpful to your work, feel free to give us a cite. |
| |
|
| | ``` |
| | @misc{Falcon3, |
| | title = {Falcon 3 family of Open Foundation Models}, |
| | author = {TII Team}, |
| | month = {December}, |
| | year = {2024} |
| | } |
| | ``` |
