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Meltemi 7B Instruct V1.5 by ilsp

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  727   
  Arxiv:1803.05457   Arxiv:1905.07830   Arxiv:2009.03300   Arxiv:2109.07958   Arxiv:2308.16884   Arxiv:2403.07691   Arxiv:2407.20743   Autotrain compatible   Conversational   El   En   Endpoints compatible   Finetuned   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ilsp/Meltemi-7B-Instruct-v1.5 

Meltemi 7B Instruct V1.5 Benchmarks

LLME Score: 0.23958
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meltemi 7B Instruct V1.5 (ilsp/Meltemi-7B-Instruct-v1.5)

Meltemi 7B Instruct V1.5 Parameters and Internals

Model Type 
text generation
Supported Languages 
el (high proficiency), en (high proficiency)
Training Details 
Data Sources:
89,730 Greek preference data translated from high-quality datasets on Hugging Face, 7,342 English preference data
Methodology:
Odds Ratio Preference Optimization (ORPO) algorithm
Context Length:
8192
Hardware Used:
Amazon's cloud computing services via GRNET under the OCRE Cloud framework
Responsible Ai Considerations 
Mitigation Strategies:
Aligned with human preferences but may generate misleading, harmful, and toxic content.
Input Output 
Input Format:
Zephyr format through tokenizer's chat template
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Ensure BOS token is included in tokenized prompts.
LLM NameMeltemi 7B Instruct V1.5
Repository 🤗https://huggingface.co/ilsp/Meltemi-7B-Instruct-v1.5 
Model Size7b
Required VRAM15 GB
Updated2025-01-20
Maintainerilsp
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   4.6 GB: 3-of-4   0.5 GB: 4-of-4
Supported Languagesel en
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size61384
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ilsp/Meltemi-7B-Instruct-v1.5.

Rank the Meltemi 7B Instruct V1.5 Capabilities

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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