What are the hardware requirements for GreenNode Mini 7B Multilingual V1olet?

GreenNode Mini 7B Multilingual V1olet requires approximately 29 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 GreenNode Mini 7B Multilingual V1olet and how large is it?

GreenNode Mini 7B Multilingual V1olet is developed by GreenNode, 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 GreenNode Mini 7B Multilingual V1olet?

GreenNode Mini 7B Multilingual V1olet is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GreenNode Mini 7B Multilingual V1olet by GreenNode — VRAM 29GB, 32K context

Name: GreenNode Mini 7B Multilingual V1olet
Author: GreenNode

GreenNode Mini 7B Multilingual V1olet is an open-source language model by GreenNode. Features: 7b LLM, VRAM: 29GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.1.

Merged Model Autotrain compatible En Endpoints compatible Lora Mistral Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/GreenNode/GreenNode-mini-7B-multilingual-v1olet

GreenNode Mini 7B Multilingual V1olet Parameters and Internals

Model Type

text generation

Supported Languages

en (proficient)

Training Details

Data Sources:

comparison_gpt4_en, en_orca_dpo

Methodology:

Train for 1 epoch

Input Output

Input Format:

{system} ### Instruction: {prompt} ### Response:

Release Notes

Date:

12th December 2023

Notes:

Ranked 6th on the overall leaderboard, 1st in the 7B leaderboard.

LLM Name	GreenNode Mini 7B Multilingual V1olet
Repository 🤗	https://huggingface.co/GreenNode/GreenNode-mini-7B-multilingual-v1olet
Merged Model	Yes
Model Size	7b
Required VRAM	29 GB
Updated	2025-03-11
Maintainer	GreenNode
Model Type	mistral
Model Files	9.9 GB: 1-of-3 10.0 GB: 2-of-3 9.1 GB: 3-of-3
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
LoRA Model	Yes
Torch Data Type	float32

Rank the GreenNode Mini 7B Multilingual V1olet 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 GreenNode/GreenNode-mini-7B-multilingual-v1olet.