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Meltemi 7B Instruct V1 AWQ by ilsp

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Model Card on HF 🤗: https://huggingface.co/ilsp/Meltemi-7B-Instruct-v1-AWQ 

Meltemi 7B Instruct V1 AWQ Benchmarks

LLME Score: 0.17509
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)

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
Updated2025-03-14
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

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Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB70
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB279793
Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB4482143
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB110
...reeze 7B 32K Instruct V1.0 AWQ32K / 4.7 GB90
...Instruct V0.2 AWQ 4bit Smashed32K / 4.2 GB191
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB60
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB151
Mistral 7B Instruct 32K AWQ32K / 4.2 GB151
...tral 7B Instruct V0.3 AWQ 4Bit32K / 4.2 GB191
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

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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 v20241227
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