LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Meltemi 7B V1.5 by ilsp

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

  381   
  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: 0.22831
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)

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
Updated2025-01-24
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

Best Alternatives to Meltemi 7B V1.5

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB446910
MegaBeam Mistral 7B 512K512K / 14.4 GB547149
SpydazWeb AI HumanAI RP512K / 14.4 GB201
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB484515
Hebrew Mistral 7B 200K256K / 30 GB277015
Astral 256K 7B250K / 14.4 GB120
Astral 256K 7B V2250K / 14.4 GB90
Test001128K / 14.5 GB90
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

🆘 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  

What open-source LLMs or SLMs are you in search of? 41817 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer