Turkcell LLM 7B V1 by TURKCELL

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  Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Tr

Turkcell LLM 7B V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Turkcell LLM 7B V1 (TURKCELL/Turkcell-LLM-7b-v1)

Turkcell LLM 7B V1 Parameters and Internals

Model Type 
large language model
Supported Languages 
tr ()
Training Details 
Data Sources:
cleaned Turkish raw dataset, custom Turkish instruction sets
Data Volume:
5 billion tokens
Methodology:
Initially with DORA, followed by fine-tuning with LORA
LLM NameTurkcell LLM 7B V1
Repository ๐Ÿค—https://huggingface.co/TURKCELL/Turkcell-LLM-7b-v1 
Model Size7b
Required VRAM14.8 GB
Updated2024-12-22
MaintainerTURKCELL
Model Typemistral
Model Files  5.0 GB: 1-of-3   4.9 GB: 2-of-3   4.9 GB: 3-of-3
Supported Languagestr
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size48353
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TURKCELL/Turkcell-LLM-7b-v1.

Rank the Turkcell LLM 7B V1 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217