Mistral Nemo NT Ko 12B DPO by werty1248

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Mistral Nemo NT Ko 12B DPO is an open-source language model by werty1248. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, LLM Explorer Score: 0.16.

Base model:finetune:werty1248/... Base model:werty1248/mistral-n... Dataset:huggingfaceh4/ultrafee... Dataset:kuotient/orca-math-kor... Dataset:sionic/ko-dpo-mix-7k-t... Dataset:zake7749/kyara-chinese...   En   Ja   Ko   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Zh

Mistral Nemo NT Ko 12B DPO Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Nemo NT Ko 12B DPO (werty1248/Mistral-Nemo-NT-Ko-12B-dpo)
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Mistral Nemo NT Ko 12B DPO Parameters and Internals

LLM NameMistral Nemo NT Ko 12B DPO
Repository ๐Ÿค—https://huggingface.co/werty1248/Mistral-Nemo-NT-Ko-12B-dpo 
Base Model(s)  werty1248/Mistral-Nemo-NT-Ko-12B-sft   werty1248/Mistral-Nemo-NT-Ko-12B-sft
Model Size12b
Required VRAM24.5 GB
Updated2025-09-23
Maintainerwerty1248
Model Typemistral
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Supported Languagesen ko ja zh
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.2
Tokenizer ClassGPT2Tokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than werty1248/Mistral-Nemo-NT-Ko-12B-dpo.

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Instruction Following and Task Automation  
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Release v20260328a