What are the hardware requirements for Detikzify Ds 7B?

Detikzify Ds 7B requires approximately 27.8 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Detikzify Ds 7B and how large is it?

Detikzify Ds 7B is developed by nllg, a model with 7b 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 Detikzify Ds 7B?

Detikzify Ds 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Detikzify Ds 7B by nllg — VRAM 27.8GB, 4K context

Name: Detikzify Ds 7B
Author: nllg

Detikzify Ds 7B is an open-source language model by nllg. Features: 7b LLM, VRAM: 27.8GB, Context: 4K, License: other, Code Generating, LLM Explorer Score: 0.12.

Codegen Dataset:nllg/datikz-v2 Detikzify Endpoints compatible Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nllg/detikzify-ds-7b

Detikzify Ds 7B Parameters and Internals

LLM Name	Detikzify Ds 7B
Repository 🤗	https://huggingface.co/nllg/detikzify-ds-7b
Model Size	7b
Required VRAM	27.8 GB
Updated	2026-08-01
Maintainer	nllg
Model Type	detikzify
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 4.9 GB: 4-of-6 4.9 GB: 5-of-6 3.1 GB: 6-of-6
Generates Code	Yes
Model Architecture	DetikzifyForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.38.1
Vocabulary Size	102400
Torch Data Type	float32

Rank the Detikzify Ds 7B 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

Best Alternatives to Detikzify Ds 7B

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Detikzify Cl 7B	16K / 27.1 GB	2	1