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MKLLM 7B Translate by trajkovnikola

 »  All LLMs  »  trajkovnikola  »  MKLLM 7B Translate   URL Share it on

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  Autotrain compatible   Axolotl   En   Endpoints compatible   Mistral   Mk   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/trajkovnikola/MKLLM-7B-Translate 

MKLLM 7B Translate Benchmarks

LLME Score: 0.17649
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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MKLLM 7B Translate Parameters and Internals

Model Type 
text translation
Additional Notes 
MKLLM-7B is an open-source Large Language Model for the Macedonian language.
Supported Languages 
mk (high), en (high)
Training Details 
Data Volume:
300M tokens
Methodology:
Continued pretraining and QLoRA instruction training
Input Output 
Input Format:
alpaca format
Accepted Modalities:
text
Output Format:
text
LLM NameMKLLM 7B Translate
Repository 🤗https://huggingface.co/trajkovnikola/MKLLM-7B-Translate 
Model Size7b
Required VRAM14.4 GB
Updated2025-06-09
Maintainertrajkovnikola
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesmk en
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-sa-4.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
MKLLM 7B Translate (trajkovnikola/MKLLM-7B-Translate)

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Note: green Score (e.g. "73.2") means that the model is better than trajkovnikola/MKLLM-7B-Translate.

Rank the MKLLM 7B Translate 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 v20241124
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