What are the hardware requirements for Lucie Boosted 7B Instruct?

Lucie Boosted 7B Instruct requires approximately 13.4 GB of VRAM and supports a context window of 31K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Lucie Boosted 7B Instruct and how large is it?

Lucie Boosted 7B Instruct is developed by jpacifico, 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 Lucie Boosted 7B Instruct?

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

Lucie Boosted 7B Instruct by jpacifico — VRAM 13.4GB, 31K context

Name: Lucie Boosted 7B Instruct
Author: jpacifico

Lucie Boosted 7B Instruct is an open-source language model by jpacifico. Features: 7b LLM, VRAM: 13.4GB, Context: 31K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.

Conversational Dataset:jpacifico/french-orca-... En Endpoints compatible Fr Instruct Llama Lucie Lucie-boosted Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jpacifico/Lucie-Boosted-7B-Instruct

Lucie Boosted 7B Instruct Parameters and Internals

LLM Name	Lucie Boosted 7B Instruct
Repository 🤗	https://huggingface.co/jpacifico/Lucie-Boosted-7B-Instruct
Model Size	7b
Required VRAM	13.4 GB
Updated	2026-07-21
Maintainer	jpacifico
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 4.9 GB: 2-of-3 3.5 GB: 3-of-3
Supported Languages	fr en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32000
Model Max Length	32000
Transformers Version	4.48.0
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	65024
Torch Data Type	float16

Rank the Lucie Boosted 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 Lucie Boosted 7B Instruct

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124	1024K / 16.1 GB	93	0
A5.4	1024K / 16.1 GB	12	0
A3.4	1024K / 16.1 GB	13	0
A2.4	1024K / 16.1 GB	12	0
... Qwen2.5llamaify 7B V23.1 200K	195K / 15.2 GB	29	5
Salamandra 7B Instruct 2606	160K / 15.6 GB	927	2
SuperNeuralDreadDevil 8B	128K / 16.1 GB	14	1
Falcon3 7B Instruct	32K / 14.8 GB	11749	80
Falcon3 Jessi V0.4 7B Slerp	32K / 14.9 GB	34	9
Jessi V0.4 Falcon3 7B Instruct	32K / 14.8 GB	22	0

Note: green Score (e.g. "73.2") means that the model is better than jpacifico/Lucie-Boosted-7B-Instruct.