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SKY Ko Qwen2.5 7B Instruct SFT Step 5000 by SkyOrbis

 »  All LLMs  »  SkyOrbis  »  SKY Ko Qwen2.5 7B Instruct SFT Step 5000   URL Share it on

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Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Instruct   Ko   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000 

SKY Ko Qwen2.5 7B Instruct SFT Step 5000 Benchmarks

MMLU Pro: 35.98
GPQA: 7.05
MUSR: 10.91
BBH: 34.95
IFEval: 38.12 vs 88 (so35)-56.7%
MATH Lvl 5: 21
LLME Score: 0.2952
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SKY Ko Qwen2.5 7B Instruct SFT Step 5000 (SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000)

SKY Ko Qwen2.5 7B Instruct SFT Step 5000 Parameters and Internals

LLM NameSKY Ko Qwen2.5 7B Instruct SFT Step 5000
Repository 🤗https://huggingface.co/SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-06-01
MaintainerSkyOrbis
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesko
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than SkyOrbis/SKY-Ko-Qwen2.5-7B-Instruct-SFT-step-5000.

Rank the SKY Ko Qwen2.5 7B Instruct SFT Step 5000 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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Release v20241227
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