What are the hardware requirements for Deita 32B Adapter?

Deita 32B Adapter requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deita 32B Adapter and how large is it?

Deita 32B Adapter is developed by KnutJaegersberg, a model with 32b 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 Deita 32B Adapter?

Deita 32B Adapter is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deita 32B Adapter by KnutJaegersberg — VRAM 0.5GB

Name: Deita 32B Adapter
Author: KnutJaegersberg

Deita 32B Adapter is an open-source language model by KnutJaegersberg. Features: 32b LLM, VRAM: 0.5GB, License: mit, LLM Explorer Score: 0.12.

Adapter Dataset:knutjaegersberg/deita-... Finetuned Lora Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/KnutJaegersberg/Deita-32b-adapter

Deita 32B Adapter Parameters and Internals

Model Type

text generation

Additional Notes

The model can be used for a wide range of text generation tasks, including providing detailed explanations and step-by-step reasoning.

Input Output

Input Format:

natural language prompt

Accepted Modalities:

text

Output Format:

natural language text

Performance Tips:

Think step-by-step and justify your steps

LLM Name	Deita 32B Adapter
Repository 🤗	https://huggingface.co/KnutJaegersberg/Deita-32b-adapter
Model Size	32b
Required VRAM	0.5 GB
Updated	2026-07-28
Maintainer	KnutJaegersberg
Model Files	0.5 GB
Model Architecture	Adapter
License	mit
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|up_proj\|o_proj\|k_proj\|down_proj\|gate_proj\|v_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Deita 32B Adapter 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 Deita 32B Adapter

Best Alternatives	Context / RAM	Downloads	Likes
Menghua Qwen3 32B Lora	0K / 1.1 GB	7	0
Zhiming Qwen3 32B Lora	0K / 1.1 GB	6	0
RHQE Aya Expanse 32b Layer 7	0K / 0 GB	1	1
SqlCoder Qwen2.5 8bit	0K / 0.3 GB	3	3

Note: green Score (e.g. "73.2") means that the model is better than KnutJaegersberg/Deita-32b-adapter.