Rei V3 KTO 12B by Delta-Vector

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Rei V3 KTO 12B is an open-source language model by Delta-Vector. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, Fine-Tuned, Instruction-Based, Merged, LLM Explorer Score: 0.2.

  Merged Model   Axolotl Base model:delta-vector/rei-12... Base model:finetune:delta-vect...   Dataset:neweden/kto-if-dans Dataset:neweden/kto-instruct-m... Dataset:neweden/opus-accepted-... Dataset:neweden/purpura-arkhai...   Finetuned   Instruct   Mistral   Region:us   Roleplay   Safetensors   Sharded   Storywriting   Tensorflow

Rei V3 KTO 12B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rei V3 KTO 12B (Delta-Vector/Rei-V3-KTO-12B)
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Rei V3 KTO 12B Parameters and Internals

LLM NameRei V3 KTO 12B
Repository ๐Ÿค—https://huggingface.co/Delta-Vector/Rei-V3-KTO-12B 
Base Model(s)  NewEden/Rei-12B-V3-Base   NewEden/Rei-12B-V3-Base
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2026-01-24
MaintainerDelta-Vector
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.7 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.51.0
Tokenizer ClassPreTrainedTokenizer
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 Delta-Vector/Rei-V3-KTO-12B.

Rank the Rei V3 KTO 12B 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 v20260328a