What are the hardware requirements for Control 8B?

Control 8B requires approximately 16.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Control 8B and how large is it?

Control 8B is developed by Delta-Vector, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Control 8B?

Control 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Control 8B by Delta-Vector — VRAM 16.1GB, 128K context

Name: Control 8B
Author: Delta-Vector

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: 0.22.

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

Model Card on HF 🤗: https://huggingface.co/Delta-Vector/Control-8B

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 Name	Control 8B
Repository 🤗	https://huggingface.co/Delta-Vector/Control-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-25
Maintainer	Delta-Vector
Model Type	llama
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 Architecture	LlamaForCausalLM
License	agpl-3.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Control 8B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Control 8B

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

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