Falcon3-10B-Base / README.md
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metadata
language:
  - en
  - fr
  - es
  - pt
tags:
  - falcon3
license: other
license_name: falcon-llm-license
license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html

Falcon3-10B-Base

Falcon3 family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B.

This repository contains the Falcon3-10B-Base. It achieves state of art results (at release's time) on reasoning, language understanding, instruction following, code and mathematics tasks. Falcon3-10B-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 using SFT, RLHF, continued pretraining, etc. for most usecases.

Model Details

  • Architecture
    • Transformer based causal decoder only architecture
    • 40 decoder blocks
    • Grouped query attention (GQA) for faster inference: 12 query heads and 4 key value heads
    • Wider head dimension: 256
    • High RoPE value to support long context understanding: 1000042
    • Use SwiGLu and RMSNorm
    • 32K context length
    • 131K vocab size
  • Depth-up-scaled from Falcon3-7B-Base with 2 Teratokens of datasets comprising of web, code, STEM, high quality and mutlilingual data using 2048 H100 GPU chips
  • Supports EN, FR, ES, PT
  • Developed by Technology Innovation Institute
  • License: TII Falcon-LLM License 2.0
  • Model Release Date: December 2024

Getting started

Click to expand
import torch
from transformers import pipeline

pipe = pipeline(
    "text-generation", 
    model="tiiuae/Falcon3-10B-Base", 
    torch_dtype=torch.bfloat16, 
    device_map="auto"
)
response = pipe("Question: How many hours in one day? Answer: ")
print(response[0]['generated_text'])

Benchmarks

We report in the following table our internal pipeline benchmarks:

Category Benchmark Gemma2-9B Yi1.5-9B Mistral-NeMo-12B Falcon3-10B-Base
General MMLU (5-shot) 70.8 69.6 68.8 73.1
MMLU-PRO (5-shot) 41.4 39.3 34.7 42.5
IFEval 21.2 29.1 16.1 36.4
Math GSM8K (5-shot) 69.1 63.8 55.3 81.4
MATH(4-shot) 10.5 9.2 4.9 22.9
Reasoning Arc Challenge (25-shot) 67.5 61.7 64.4 66.8
GPQA (0-shot) 33.4 36.6 28.8 34.1
MUSR (0-shot) 45.2 43.3 39.2 44.2
BBH (3-shot) 54.3 51.3 50.2 59.7
CommonSense Understanding PIQA (0-shot) 83.0 80.5 82.1 79.5
SciQ (0-shot) 97.1 95.2 95.2 93.5
Winogrande (0-shot) 74.2 72.7 73.2 73.6
OpenbookQA (0-shot) 47.2 45.2 47.2 45.0

Technical Report

Coming soon....

Citation

If Falcon3 family were helpful to your work, feel free to give us a cite.

@misc{Falcon3,
    title = {The Falcon 3 family of Open Models},
    author = {TII Team},
    month = {December},
    year = {2024}
}