language, license, library_name, tags, license_name, license_link, model-index

language	license	library_name	tags	license_name	license_link	model-index
en fr es pt	other	transformers	falcon3	falcon-llm-license	https://falconllm.tii.ae/falcon-terms-and-conditions.html	name results Falcon3-10B-Base task dataset metrics source type name text-generation Text Generation name type args IFEval (0-Shot) HuggingFaceH4/ifeval num_few_shot 0 type value name inst_level_strict_acc and prompt_level_strict_acc 36.48 strict accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/Falcon3-10B-Base Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args BBH (3-Shot) BBH num_few_shot 3 type value name acc_norm 41.38 normalized accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/Falcon3-10B-Base Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args MATH Lvl 5 (4-Shot) hendrycks/competition_math num_few_shot 4 type value name exact_match 24.77 exact match url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/Falcon3-10B-Base Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args GPQA (0-shot) Idavidrein/gpqa num_few_shot 0 type value name acc_norm 12.75 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/Falcon3-10B-Base Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args MuSR (0-shot) TAUR-Lab/MuSR num_few_shot 0 type value name acc_norm 14.17 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/Falcon3-10B-Base Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU-PRO (5-shot) TIGER-Lab/MMLU-Pro main test num_few_shot 5 type value name acc 36.0 accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=tiiuae/Falcon3-10B-Base Open LLM Leaderboard

Falcon3-10B-Base

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

This repository contains the Falcon3-10B-Base. It achieves state-of-the-art results (at the time of release) on reasoning, language understanding, instruction following, code and mathematics tasks. Falcon3-10B-Base supports 4 languages (English, French, Spanish, Portuguese) and a context length of up to 32K.

⚠️ This is a raw, pretrained model, which should be further finetuned using SFT, RLHF, continued pretraining, etc. for most use cases.

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
  • Uses SwiGLu and RMSNorm
  • 32K context length
  • 131K vocab size
• Depth up-scaled from Falcon3-7B-Base with continual pretraining on 2 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
• 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.

• We use lm-evaluation harness.
• We report raw scores.
• We use same batch-size across all models.

Category	Benchmark	Gemma2-9B	Yi1.5-9B	Mistral-Nemo-Base-2407 (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	21.3	29.1	16.1	36.4
Math	GSM8K (5-shot)	69.1	63.8	55.3	81.4
	MATH Lvl-5 (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)	45.3	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	79.4
	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

Useful links

• View our release blogpost.
• Feel free to join our discord server if you have any questions or to interact with our researchers and developers.

Technical Report

Coming soon....

Citation

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

@misc{Falcon3,
    title = {The Falcon 3 Family of Open Models},
    url = {https://huggingface.co/blog/falcon3},
    author = {Falcon-LLM Team},
    month = {December},
    year = {2024}
}

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	27.59
IFEval (0-Shot)	36.48
BBH (3-Shot)	41.38
MATH Lvl 5 (4-Shot)	24.77
GPQA (0-shot)	12.75
MuSR (0-shot)	14.17
MMLU-PRO (5-shot)	36.00