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Meltemi 7B Instruct 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   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 

Meltemi 7B Instruct V1 Benchmarks

LLME Score: 0.16295
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Meltemi 7B Instruct V1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, language understanding, Greek applications
Limitations:
might generate misleading, harmful, and toxic content.
Considerations:
Not aligned with human preferences
Additional Notes 
This model has a newer version available (v1.5) with enhancements.
Supported Languages 
el (fully supported), en (partially supported)
Training Details 
Data Sources:
Open-Platypus, Evol-Instruct, Capybara, Hand-crafted Greek dataset
Data Volume:
100k Greek machine translated instructions
Methodology:
Fine-tuning with Greek machine translated instructions; vocabulary extension
Context Length:
8192
Hardware Used:
Amazon Web Services via GRNET
Model Architecture:
Mistral-7b tokenizer with Greek tokens
Input Output 
Input Format:
<|system|> ... <|user|> ... <|assistant|> ...
Accepted Modalities:
text
Output Format:
Text generated in response
Performance Tips:
Ensure the BOS token is always included.
LLM NameMeltemi 7B Instruct V1
Repository 🤗https://huggingface.co/ilsp/Meltemi-7B-Instruct-v1 
Model Size7b
Required VRAM15 GB
Updated2025-06-09
Maintainerilsp
Model Typemistral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   5.0 GB: 2-of-2
Supported Languagesel en
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size61520
Torch Data Typebfloat16
Meltemi 7B Instruct V1 (ilsp/Meltemi-7B-Instruct-v1)

Quantized Models of the Meltemi 7B Instruct V1

Model
Likes
Downloads
VRAM
Meltemi 7B Instruct V1 AWQ6214 GB

Best Alternatives to Meltemi 7B Instruct V1

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB168216
SpydazWeb AI HumanAI RP512K / 14.4 GB161
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB100
...1 Summarize 64K LoRANET Merged128K / 14.4 GB200
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB2442401711
Mixtral AI CyberCoder32K / 14.3 GB00
...ity Instruct 7M Gen Mistral 7B32K / 14.4 GB15745
Note: green Score (e.g. "73.2") means that the model is better than ilsp/Meltemi-7B-Instruct-v1.

Rank the Meltemi 7B Instruct V1 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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Release v20241124
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