AIFT Yi Ko 6B V1.11 by mu0gum

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  Autotrain compatible   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

AIFT Yi Ko 6B V1.11 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AIFT Yi Ko 6B V1.11 (mu0gum/AIFT-Yi-Ko-6B-v1.11)
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AIFT Yi Ko 6B V1.11 Parameters and Internals

Training Details 
Data Sources:
Open Orca μŠ€νƒ€μΌ 데이터셋 μ•½ 48,000건 (쀑볡 제거 및 데이터 뢄포 μ‘°μ •)
Methodology:
Full finetuning
LLM NameAIFT Yi Ko 6B V1.11
Repository πŸ€—https://huggingface.co/mu0gum/AIFT-Yi-Ko-6B-v1.11 
Model Size6b
Required VRAM24.6 GB
Updated2025-09-15
Maintainermu0gum
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   4.8 GB: 2-of-6   4.8 GB: 3-of-6   4.8 GB: 4-of-6   4.0 GB: 5-of-6   1.3 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length2048
Model Max Length2048
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size78464
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than mu0gum/AIFT-Yi-Ko-6B-v1.11.

Rank the AIFT Yi Ko 6B V1.11 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