Tesser Llama 3 Ko 8B by tesser-ai

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  Autotrain compatible Dataset:legacy-datasets/wikipe...   En   Endpoints compatible   Ko   Llama   Region:us   Safetensors   Sharded   Tensorflow

Tesser Llama 3 Ko 8B Benchmarks

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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Tesser Llama 3 Ko 8B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Commercial applications
Limitations:
Trained with context length of 4k, though 8k might work better.
Additional Notes 
A larger context length could be beneficial.
Supported Languages 
English (proficient), Korean (enhanced proficiency)
Training Details 
Data Sources:
AI-Hub, Modu Corpus, Wikipedia
Data Volume:
16B tokens
Methodology:
Continual pretraining
Context Length:
4000
LLM NameTesser Llama 3 Ko 8B
Repository ๐Ÿค—https://huggingface.co/tesser-ai/Tesser-Llama-3-Ko-8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-06-11
Maintainertesser-ai
Model Typellama
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 ko
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Tesser Llama 3 Ko 8B (tesser-ai/Tesser-Llama-3-Ko-8B)

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Note: green Score (e.g. "73.2") means that the model is better than tesser-ai/Tesser-Llama-3-Ko-8B.

Rank the Tesser Llama 3 Ko 8B 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 v20241124