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Mnsim DPO Peftmerged 2 Eos by msy127

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Mnsim DPO Peftmerged 2 Eos is an open-source language model by msy127. Features: 13.2b LLM, VRAM: 26.3GB, Context: 2K, License: llama2, LLM Explorer Score: 0.14, Arc: 55.6, HellaSwag: 77.8, MMLU: 51.3, GSM8K: 16.9.

  En   Endpoints compatible   Ko   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/msy127/mnsim-dpo-peftmerged-2-eos 

Mnsim DPO Peftmerged 2 Eos Benchmarks

ARC: 55.63 vs 96.7 (so35)-42.5%
HellaSwag: 77.82 vs 95.3 (gpt4)-18.3%
MMLU: 51.25 vs 88.3 (so35)-42%
GSM8K: 16.91 vs 96.4 (so35)-82.5%
LLME Score: 0.13554
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mnsim DPO Peftmerged 2 Eos (msy127/mnsim-dpo-peftmerged-2-eos)
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Mnsim DPO Peftmerged 2 Eos Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model contains the chat_template instruction format.
Supported Languages 
ko (supported), en (supported)
Training Details 
Methodology:
Custom instruction format
Hardware Used:
A100 40GB 1ea
Input Output 
Input Format:
Custom format (example provided)
LLM NameMnsim DPO Peftmerged 2 Eos
Repository 🤗https://huggingface.co/msy127/mnsim-dpo-peftmerged-2-eos 
Model Size13.2b
Required VRAM26.3 GB
Updated2026-05-15
Maintainermsy127
Model Typellama
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   5.0 GB: 5-of-6   1.6 GB: 6-of-6
Supported Languagesko en
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length2048
Model Max Length2048
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size46336
Torch Data Typebfloat16

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Rank the Mnsim DPO Peftmerged 2 Eos 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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