Defne Llama3.1 8B by Eurdem

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  Autotrain compatible   Conversational   De   En   Endpoints compatible   Es   Fr   Instruct   It   Llama   Llama-3   Region:us   Safetensors   Sharded   Tensorflow   Tr

Defne Llama3.1 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Defne Llama3.1 8B (Eurdem/Defne-llama3.1-8B)

Defne Llama3.1 8B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, entertainment
Applications:
chatbots
Primary Use Cases:
friendly informational chat assistance
Limitations:
Possible bias in outputs depending on the dataset used
Supported Languages 
en (fluent), tr (fluent), de (partial), fr (partial), it (partial), es (partial)
Training Details 
Data Sources:
Turkish dataset (~4 mio tokens)
Data Volume:
~4 mio tokens
Methodology:
Fine-tuning, Merging with VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
Input Output 
Input Format:
system and user role-based chat messages
Accepted Modalities:
text
Output Format:
textual chat responses
Performance Tips:
Use appropriate sampling techniques to adjust creativity.
LLM NameDefne Llama3.1 8B
Repository ๐Ÿค—https://huggingface.co/Eurdem/Defne-llama3.1-8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-05-15
MaintainerEurdem
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen tr de fr it es
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Eurdem/Defne-llama3.1-8B.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227