What are the hardware requirements for Falcon 7B Instruct GGML?

Falcon 7B Instruct GGML requires approximately 4.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Falcon 7B Instruct GGML and how large is it?

Falcon 7B Instruct GGML is developed by TheBloke, 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 GGML?

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

Falcon 7B Instruct GGML by TheBloke — VRAM 4.1GB

Name: Falcon 7B Instruct GGML
Author: TheBloke

Falcon 7B Instruct GGML is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.1GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.07.

Arxiv:1911.02150 Arxiv:2005.14165 Arxiv:2104.09864 Arxiv:2205.14135 Arxiv:2306.01116 Dataset:tiiuae/falcon-refinedw... En Falcon Ggml Instruct Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/Falcon-7B-Instruct-GGML

Falcon 7B Instruct GGML Parameters and Internals

Model Type

Causal decoder-only

Use Cases

Areas:

Chat, Instruction following

Primary Use Cases:

Instruct/chat modeling

Limitations:

Does not generalize well to languages other than English and French

Additional Notes

Falcon-7B-Instruct is a 7B parameters model finetuned on instruct datasets.

Supported Languages

en (high proficiency), fr (high proficiency)

Training Details

Data Sources:

Bai ze, GPT4All, GPTeacher, RefinedWeb-English

Data Volume:

250M tokens

Methodology:

Finetuning

Context Length:

2048

Hardware Used:

32 A100 40GB GPUs

Model Architecture:

Causal decoder-only, using rotary embeddings, multiquery and FlashAttention.

Responsible Ai Considerations

Mitigation Strategies:

Using guardrails and precautions for production use.

LLM Name	Falcon 7B Instruct GGML
Repository 🤗	https://huggingface.co/TheBloke/Falcon-7B-Instruct-GGML
Base Model(s)	...on 7B Instruct Finance Advisor themanas021/falcon-7b-instruct-Finance_Advisor
Model Size	7b
Required VRAM	4.1 GB
Updated	2026-07-18
Maintainer	TheBloke
Model Type	falcon
Instruction-Based	Yes
Model Files	4.1 GB 4.5 GB 5.0 GB 5.4 GB 7.7 GB
Supported Languages	en
GGML Quantization	Yes
Quantization Type	ggml
Model Architecture	AutoModel
License	apache-2.0

Rank the Falcon 7B Instruct GGML 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 GGML

Best Alternatives	Context / RAM	Downloads	Likes
CodeLlama 7B Instruct GGML	0K / 3 GB	10	20
Llama 2 7B 32K Instruct GGML	0K / 2.9 GB	7	8
Vigogne 2 7B Instruct GGML	0K / 2.9 GB	4	2
Redpajama 7B GGML	0K / 3.9 GB	9	3
MPT 7B Instruct GGML	0K / 3.7 GB	64	30
Mpt 7B GGML	0K / 3.7 GB	21	46
Badqubits Mistral 7B V03 Ft	0K / 0.2 GB	28	1
Poetes Mistral 7B Lora	0K / 0.2 GB	25	1
Qwen Phoenix Lora	0K / 0.2 GB	17	1
Forma Uiux Auditor	0K / 0.2 GB	25	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Falcon-7B-Instruct-GGML.