What are the hardware requirements for Falcon3 7B Base?

Falcon3 7B Base requires approximately 14.8 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Falcon3 7B Base and how large is it?

Falcon3 7B Base 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.

Where can I download or evaluate Falcon3 7B Base?

Falcon3 7B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Falcon3 7B Base by tiiuae — VRAM 14.8GB, 32K context

Name: Falcon3 7B Base
Author: tiiuae

Falcon3 7B Base is an open-source language model by tiiuae. Features: 7b LLM, VRAM: 14.8GB, Context: 32K, License: other, LLM Explorer Score: 0.26.

Deploy:azure Deploy:sagemaker En Endpoints compatible Es Falcon3 Fr Llama Pt Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/tiiuae/Falcon3-7B-Base

Falcon3 7B Base Parameters and Internals

LLM Name	Falcon3 7B Base
Repository 🤗	https://huggingface.co/tiiuae/Falcon3-7B-Base
Model Size	7b
Required VRAM	14.8 GB
Updated	2026-08-03
Maintainer	tiiuae
Model Type	llama
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.2 GB: 3-of-4 0.8 GB: 4-of-4
Supported Languages	en fr es pt
Model Architecture	LlamaForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Falcon3 7B Base capabilities

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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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