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Yi Ko 6B by beomi

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  01-ai   Autotrain compatible   Doi:10.57967/hf/1708   En   Ko   Llama   Model-index   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Yi   Yi-ko

Yi Ko 6B Benchmarks

ARC: 48.89 vs 96.7 (so35)-49.4%
HellaSwag: 74.48 vs 95.3 (gpt4)-21.8%
MMLU: 55.72 vs 88.3 (so35)-36.9%
TruthfulQA: 37.09 vs 59 (gpt4)-37.1%
WinoGrande: 72.93 vs 87.5 (gpt4)-16.7%
GSM8K: 12.51 vs 96.4 (so35)-87%
LLME Score: 0.23238
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Yi Ko 6B Parameters and Internals

LLM NameYi Ko 6B
Repository 🤗https://huggingface.co/beomi/Yi-Ko-6B 
Model Size6b
Required VRAM12.4 GB
Updated2024-10-22
Maintainerbeomi
Model Typellama
Model Files  3.0 GB: 1-of-5   2.9 GB: 2-of-5   3.0 GB: 3-of-5   2.9 GB: 4-of-5   0.6 GB: 5-of-5   3.0 GB: 1-of-5   2.9 GB: 2-of-5   3.0 GB: 3-of-5   2.9 GB: 4-of-5   0.6 GB: 5-of-5
Supported Languagesen ko
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.33.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size78464
Torch Data Typebfloat16
Yi Ko 6B (beomi/Yi-Ko-6B)

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Note: green Score (e.g. "73.2") means that the model is better than beomi/Yi-Ko-6B.

Rank the Yi Ko 6B 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  
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Release v2024072803
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