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Meltemi 7B Instruct V1 AWQ by ilsp

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  4-bit   Autotrain compatible   Awq   Conversational   El   En   Endpoints compatible   Finetuned   Instruct   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/ilsp/Meltemi-7B-Instruct-v1-AWQ 

Meltemi 7B Instruct V1 AWQ Benchmarks

LLME Score: 0.14401
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 AWQ (ilsp/Meltemi-7B-Instruct-v1-AWQ)
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Meltemi 7B Instruct V1 AWQ Parameters and Internals

Model Type 
text generation
Additional Notes 
This model version is a quantized version using 4-bit AWQ quantization.
Supported Languages 
el (high), en (high)
Input Output 
Input Format:
"~~< |system|> Είσαι το Μελτέμι, ένα γλωσσικό μοντέλο για την ελληνική γλώσσα...<|user|> Πες μου αν έχεις συνείδηση."
Accepted Modalities:
text
Output Format:
text
LLM NameMeltemi 7B Instruct V1 AWQ
Repository 🤗https://huggingface.co/ilsp/Meltemi-7B-Instruct-v1-AWQ 
Base Model(s)  Meltemi 7B Instruct V1   ilsp/Meltemi-7B-Instruct-v1
Model Size7b
Required VRAM4.6 GB
Updated2025-09-23
Maintainerilsp
Model Typemistral
Instruction-BasedYes
Model Files  4.6 GB
Supported Languagesel en
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size61520
Torch Data Typefloat16

Best Alternatives to Meltemi 7B Instruct V1 AWQ

Best Alternatives
Context / RAM
Downloads
Likes
Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB60
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB209545
Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB2274950
...reeze 7B 32K Instruct V1.0 AWQ32K / 4.7 GB90
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB60
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB60
...Instruct V0.2 AWQ 4bit Smashed32K / 4.2 GB81
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB61
Mistral 7B Instruct 32K AWQ32K / 4.2 GB41
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB71
Note: green Score (e.g. "73.2") means that the model is better than ilsp/Meltemi-7B-Instruct-v1-AWQ.

Rank the Meltemi 7B Instruct V1 AWQ 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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