Control 8B by Delta-Vector

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Control 8B is an open-source language model by Delta-Vector. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: agpl-3.0, LLM Explorer Score: 0.23.

  Chat Dataset:neweden/opencai-shareg... Dataset:neweden/roleplay-logs-...   Llama   Region:us   Safetensors   Sharded   Tensorflow

Control 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Control 8B Parameters and Internals

Model Type 
AutoModelForCausalLM
Use Cases 
Primary Use Cases:
Chat, Text Generation
Additional Notes 
Model is described as "Short and Sweet", focusing on concise interactions.
Supported Languages 
En (English)
Training Details 
Data Sources:
NewEden/CharacterAI-logs-sharegpt-Ngram-Cleaned, NewEden/OpenCAI-ShareGPT
Methodology:
finetuned the model for 2 epochs
Context Length:
16384
Hardware Used:
4 x RTX 3090s
Input Output 
Input Format:
LLama-Instruct formatting
Accepted Modalities:
text
Performance Tips:
Recommend using either Euryale's or EVA's system prompt
LLM NameControl 8B
Repository 🤗https://huggingface.co/Delta-Vector/Control-8B 
Model Size8b
Required VRAM16.1 GB
Updated2026-05-23
MaintainerDelta-Vector
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licenseagpl-3.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Delta-Vector/Control-8B.

Rank the Control 8B 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