What are the hardware requirements for Falcon7b Linear Equations Merged?

Falcon7b Linear Equations Merged requires approximately 13.9 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Falcon7b Linear Equations Merged and how large is it?

Falcon7b Linear Equations Merged is developed by Menouar, 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 Falcon7b Linear Equations Merged?

Falcon7b Linear Equations Merged is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Falcon7b Linear Equations Merged by Menouar — VRAM 13.9GB, 2K context

Name: Falcon7b Linear Equations Merged
Author: Menouar

Falcon7b Linear Equations Merged is an open-source language model by Menouar. Features: 7b LLM, VRAM: 13.9GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.11.

Custom code Dataset:menouar/linearequation... Endpoints compatible Falcon Falcon7b-linear-equations Qlora Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Menouar/falcon7b-linear-equations-merged

Falcon7b Linear Equations Merged Parameters and Internals

Model Type

text-generation

Training Details

Data Sources:

Menouar/LinearEquations

Methodology:

Merged with QLoRA

LLM Name	Falcon7b Linear Equations Merged
Repository 🤗	https://huggingface.co/Menouar/falcon7b-linear-equations-merged
Model Size	7b
Required VRAM	13.9 GB
Updated	2026-06-08
Maintainer	Menouar
Model Type	falcon
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 3.9 GB: 3-of-3
Model Architecture	FalconForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.38.0.dev0
Is Biased	0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	>>SUFFIX<<
Vocabulary Size	65024
Torch Data Type	float16

Rank the Falcon7b Linear Equations Merged 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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Note: green Score (e.g. "73.2") means that the model is better than Menouar/falcon7b-linear-equations-merged.