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GreenNode Mini 7B Multilingual V1olet by GreenNode

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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: 0.11.

  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 Benchmarks

LLME Score: 0.11147
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GreenNode Mini 7B Multilingual V1olet (GreenNode/GreenNode-mini-7B-multilingual-v1olet)
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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 NameGreenNode Mini 7B Multilingual V1olet
Repository 🤗https://huggingface.co/GreenNode/GreenNode-mini-7B-multilingual-v1olet 
Merged ModelYes
Model Size7b
Required VRAM29 GB
Updated2025-03-11
MaintainerGreenNode
Model Typemistral
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   9.1 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
LoRA ModelYes
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than GreenNode/GreenNode-mini-7B-multilingual-v1olet.

Rank the GreenNode Mini 7B Multilingual V1olet Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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