Meltemi 7B V1 by ilsp

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  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 ๐Ÿค—: https://huggingface.co/ilsp/Meltemi-7B-v1 

Meltemi 7B V1 Benchmarks

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 (ilsp/Meltemi-7B-v1)

Meltemi 7B V1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Language understanding, Reasoning, Medical question answering
Primary Use Cases:
Greek language text generation
Limitations:
May generate harmful or toxic content due to lack of alignment with human preferences
Supported Languages 
Greek (high), English (medium)
Training Details 
Data Sources:
monolingual Greek texts, monolingual English texts, Greek-English parallel data
Data Volume:
approximately 40 billion tokens
Methodology:
Continual pretraining on a large corpus of high-quality Greek texts on top of Mistral-7B
Context Length:
8192
Model Architecture:
Based on Mistral-7B with vocabulary extension for Greek tokens
Responsible Ai Considerations 
Mitigation Strategies:
Model has not been aligned with human preferences, may generate misleading, harmful, or toxic content
Input Output 
Performance Tips:
BOS token should be included in the tokenized prompts
LLM NameMeltemi 7B V1
Repository ๐Ÿค—https://huggingface.co/ilsp/Meltemi-7B-v1 
Model Size7b
Required VRAM15 GB
Updated2025-02-22
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 Version4.39.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size61520
Torch Data Typebfloat16

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Astral 256K 7B V2250K / 14.4 GB70
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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than ilsp/Meltemi-7B-v1.

Rank the Meltemi 7B V1 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