What are the hardware requirements for Nethena 20B?

Nethena 20B requires approximately 39.9 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 Nethena 20B and how large is it?

Nethena 20B is developed by NeverSleep, a model with 20b 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 Nethena 20B?

Nethena 20B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nethena 20B by NeverSleep — VRAM 39.9GB, 4K context

Name: Nethena 20B
Author: NeverSleep

Nethena 20B is an open-source language model by NeverSleep. Features: 20b LLM, VRAM: 39.9GB, Context: 4K, License: cc-by-nc-4.0, LLM Explorer Score: 0.1.

Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/NeverSleep/Nethena-20B

Nethena 20B Parameters and Internals

Model Type

text generation

Use Cases

Areas:

Research, Commercial applications

Primary Use Cases:

Role-playing (RP), Extended Role-playing (ERP), general use

Additional Notes

The model combines the strengths of Echidna v0.3, Athena v3, and Nete models.

Input Output

Input Format:

Alpaca

Accepted Modalities:

text

Output Format:

text

Performance Tips:

No specific settings recommended yet, users are encouraged to suggest settings in the community tab.

LLM Name	Nethena 20B
Repository 🤗	https://huggingface.co/NeverSleep/Nethena-20B
Model Size	20b
Required VRAM	39.9 GB
Updated	2026-05-20
Maintainer	NeverSleep
Model Type	llama
Model Files	9.9 GB: 1-of-5 10.0 GB: 2-of-5 10.0 GB: 3-of-5 9.9 GB: 4-of-5 0.1 GB: 5-of-5
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32000
Torch Data Type	float16

Rank the Nethena 20B 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

Quantized Models of the Nethena 20B

Model	Likes	Downloads	VRAM
Nethena 20B GGUF	7	401	8 GB
Nethena 20B GPTQ	7	12	10 GB
Nethena 20B AWQ	2	8	10 GB

Best Alternatives to Nethena 20B

Best Alternatives	Context / RAM	Downloads	Likes
Internlm2 5 20B Llamafied	256K / 39.9 GB	7	5
EAGLE3 GPT Oss 20B	128K / 0.7 GB	507	0
Stellaris Internlm2 20B R512	32K / 39.8 GB	12	3
Internlm2 Chat 20B Llama Old	32K / 39.6 GB	8	3
Internlm2 Base 20B Llama	32K / 39.6 GB	6	3
Internlm2 Base 20B Llama	32K / 39.6 GB	6	0
Deita 20B	32K / 39.8 GB	63	1
Internlm2 20B Llama	32K / 39.6 GB	81	20
Bagel 20B V04 Llama	32K / 39.6 GB	6	7
Bagel DPO 20B V04 Llama	32K / 39.6 GB	7	3

Note: green Score (e.g. "73.2") means that the model is better than NeverSleep/Nethena-20B.