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K2S3 14B V0.2 by Changgil

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  Autotrain compatible   En   Endpoints compatible   Ko   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Changgil/K2S3-14b-v0.2 

K2S3 14B V0.2 Benchmarks

MMLU Pro: 18.26
GPQA: 4.14
MUSR: 6.8
BBH: 24.28
IFEval: 32.43 vs 88 (so35)-63.1%
MATH Lvl 5: 5.74
LLME Score: 0.2029
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
K2S3 14B V0.2 (Changgil/K2S3-14b-v0.2)
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K2S3 14B V0.2 Parameters and Internals

Additional Notes 
The model has been enhanced with Korean vocabulary and merges to the tokenizer.
Supported Languages 
en (English), ko (Korean)
Training Details 
Data Sources:
alpaca-gpt4-data, The OpenOrca Dataset
Methodology:
Depth up scaling and full parameter tuning with SFT (Supervised Fine-Tuning)
Hardware Used:
A100 (80G*2EA) GPUs
Model Architecture:
Enhanced base model with depth up scaling
LLM NameK2S3 14B V0.2
Repository 🤗https://huggingface.co/Changgil/K2S3-14b-v0.2 
Model Size14b
Required VRAM28.7 GB
Updated2025-09-23
MaintainerChanggil
Model Typemistral
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   4.0 GB: 6-of-6
Supported Languagesen ko
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size48000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Changgil/K2S3-14b-v0.2.

Rank the K2S3 14B V0.2 Capabilities

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Instruction Following and Task Automation  
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