What are the hardware requirements for Falcon 7B Instruct?

Falcon 7B Instruct 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 Instruct and how large is it?

Falcon 7B Instruct is developed by jialii, 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 Falcon 7B Instruct?

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

Falcon 7B Instruct by jialii — VRAM 14.4GB

Name: Falcon 7B Instruct
Author: jialii

Falcon 7B Instruct is an open-source language model by jialii. Features: 7b LLM, VRAM: 14.4GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.07.

Arxiv:1911.02150 Arxiv:2005.14165 Arxiv:2104.09864 Arxiv:2205.14135 Arxiv:2306.01116 Coreml Custom code Dataset:tiiuae/falcon-refinedw... En Endpoints compatible Instruct Pytorch Refinedwebmodel Region:us Sharded

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

Falcon 7B Instruct Parameters and Internals

Model Type

Causal decoder-only

Use Cases

Areas:

Research, Chat, Instruction

Limitations:

Mostly trained on English data, may not generalize well to other languages., May carry stereotypes and biases from web data.

Considerations:

Develop guardrails and take precautions for production use.

Additional Notes

Falcon-7B-Instruct is optimized for inference and not ideal for further finetuning.

Supported Languages

English (High), French (Medium)

Training Details

Data Sources:

Bai ze, GPT4All, GPTeacher, RefinedWeb-English

Data Volume:

250M tokens mixture

Methodology:

Causal language modeling task

Context Length:

2048

Hardware Used:

AWS SageMaker, 32 A100 40GB GPUs in P4d instances

Model Architecture:

Causal decoder-only with rotary positional embeddings, multiquery and FlashAttention attention, parallel attention/MLP with a single layer norm.

Input Output

Accepted Modalities:

text

LLM Name	Falcon 7B Instruct
Repository 🤗	https://huggingface.co/jialii/falcon-7b-instruct
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-06
Maintainer	jialii
Model Type	RefinedWebModel
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Supported Languages	en
Model Architecture	RWForCausalLM
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 Instruct 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

Best Alternatives to Falcon 7B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Ct2 Int8 Falcon 7B Instruct	0K / GB	5	0
Falcon 7b Python Instructions	0K / 13.8 GB	5	1
Docsgpt 7B Falcon	0K / 13.8 GB	17	15
Falcon 7B Instruct V2	0K / 28.9 GB	5	1
Vigogne Falcon 7B Instruct	0K / 14.4 GB	10	1
Falcon 7B Finance	0K / 13.8 GB	12	3
...on7b Fine Tuned Therapy Merged	0K / 13.8 GB	22	5
Falcon 7B Instruct	0K / 14.4 GB	9	0
Falcon 7B Instruct Grammar	0K / 13.8 GB	8	0
Halcon 7B Instructions Es	0K / 13.8 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than jialii/falcon-7b-instruct.