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Meltemi 7B V1.5 by ilsp

 »  All LLMs  »  ilsp  »  Meltemi 7B V1.5   URL Share it on

  42   
  Arxiv:1803.05457   Arxiv:1905.07830   Arxiv:2009.03300   Arxiv:2109.07958   Arxiv:2308.16884   Arxiv:2407.20743   Autotrain compatible   El   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ilsp/Meltemi-7B-v1.5 

Meltemi 7B V1.5 Benchmarks

LLME Score: 0.17498
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meltemi 7B V1.5 (ilsp/Meltemi-7B-v1.5)
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Meltemi 7B V1.5 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
text generation
Primary Use Cases:
Language understanding and reasoning, Question answering
Limitations:
May generate misleading or harmful content
Considerations:
Aligned with human preferences but still can produce toxic content
Additional Notes 
Developed using Amazon's cloud services provided via GRNET under the OCRE Cloud framework.
Supported Languages 
el (high), en (medium)
Training Details 
Data Sources:
Greek monolingual data, English monolingual data, Greek-English parallel data
Data Volume:
55 billion tokens
Methodology:
Continual pretraining with proficiency for Greek
Context Length:
8192
Training Time:
Less than 2/3rds the time of Meltemi 7B v1
Hardware Used:
Amazon Web Services
Model Architecture:
Based on Mistral 7B with extended vocabulary for Greek
Input Output 
Input Format:
Tokenized prompts with BOS token
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Ensure BOS token is included in tokenized prompts
LLM NameMeltemi 7B V1.5
Repository 🤗https://huggingface.co/ilsp/Meltemi-7B-v1.5 
Model Size7b
Required VRAM15 GB
Updated2025-09-07
Maintainerilsp
Model Typemistral
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-v1.5.

Rank the Meltemi 7B 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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Release v20241124
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