What are the hardware requirements for Falcon 7B?

Falcon 7B requires approximately 14.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Falcon 7B and how large is it?

Falcon 7B is developed by tiiuae, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Falcon 7B perform on standard benchmarks?

Falcon 7B has the following published scores: MMLU 27.79. Compare against reference models on this page or on the LLM Explorer leaderboards.

Falcon 7B by tiiuae — VRAM 14.4GB

Name: Falcon 7B
Author: tiiuae

Falcon 7B is an open-source language model by tiiuae. Features: 7b LLM, VRAM: 14.4GB, License: apache-2.0, LLM Explorer Score: 0.23, Arc: 47.9, HellaSwag: 78.1, MMLU: 27.8, GSM8K: 4.6.

Arxiv:1911.02150 Arxiv:2005.14165 Arxiv:2101.00027 Arxiv:2104.09864 Arxiv:2205.14135 Arxiv:2306.01116 Custom code Dataset:tiiuae/falcon-refinedw... Deploy:sagemaker En Falcon Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/tiiuae/falcon-7b

Falcon 7B Parameters and Internals

Model Type

Causal decoder-only

Use Cases

Areas:

Research on large language models, Foundation for further specialization and finetuning

Applications:

Summarization, Text generation, Chatbot

Limitations:

Falcon-7B is trained on English and French data only, Stereotypes and biases present in the web data may be reflected

Additional Notes

This is a raw, pretrained model, which should be further finetuned for most use-cases.

Supported Languages

English (High), German (Basic), Spanish (Basic), French (Basic), Italian (Limited), Portuguese (Limited), Polish (Limited), Dutch (Limited), Romanian (Limited), Czech (Limited), Swedish (Limited)

Training Details

Data Sources:

RefinedWeb-English, Books, Conversations, Code, RefinedWeb-French, Technical

Data Volume:

1,500B tokens

Methodology:

Causal language modeling task

Context Length:

2048

Training Time:

two weeks

Hardware Used:

384 A100 40GB GPUs

Model Architecture:

Architecture adapted from the GPT-3 paper with variations like rotary positional embeddings and FlashAttention

Input Output

Accepted Modalities:

Text

Output Format:

Text

Performance Tips:

Finetuning is recommended for specific use cases.

LLM Name	Falcon 7B
Repository 🤗	https://huggingface.co/tiiuae/falcon-7b
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-31
Maintainer	tiiuae
Model Type	falcon
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2 9.9 GB: 1-of-2 4.5 GB: 2-of-2
Supported Languages	en
Model Architecture	FalconForCausalLM
License	apache-2.0
Model Max Length	2048
Transformers Version	4.27.4
Is Biased	0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	65024
Torch Data Type	bfloat16

Rank the Falcon 7B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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