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MKLLM 7B by trajkovnikola

 »  All LLMs  »  trajkovnikola  »  MKLLM 7B   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 

MKLLM 7B Benchmarks

LLME Score: 0.20388
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MKLLM 7B (trajkovnikola/MKLLM-7B)

MKLLM 7B Parameters and Internals

Model Type 
Instruction-tuning, Translation
Use Cases 
Limitations:
Not intended for deployment without fine-tuning, Can hallucinate and produce factually incorrect output
Additional Notes 
This model performs well in understanding and processing the Macedonian language but has limitations due to its smaller training dataset.
Supported Languages 
mk (native), en (secondary)
Training Details 
Data Sources:
Macedonian and English text
Data Volume:
300M tokens
Methodology:
Continued pretraining
LLM NameMKLLM 7B
Repository 🤗https://huggingface.co/trajkovnikola/MKLLM-7B 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
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
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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

Rank the MKLLM 7B 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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