What are the hardware requirements for Dans LN?

Dans LN requires approximately 47.3 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dans LN and how large is it?

Dans LN is developed by Delta-Vector, a model with 23.6b 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 Dans LN?

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

Dans LN by Delta-Vector — VRAM 47.3GB, 32K context

Name: Dans LN
Author: Delta-Vector

Dans LN is an open-source language model by Delta-Vector. Features: 23.6b LLM, VRAM: 47.3GB, Context: 32K, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2408.07990 Autotrain compatible Base model:neweden/checkpoint-... Base model:neweden/ckpt-36 Base model:neweden/ckpt-42 Base model:neweden/ckpt-44 Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Delta-Vector/Dans-LN

Dans LN Parameters and Internals

LLM Name	Dans LN
Repository 🤗	https://huggingface.co/Delta-Vector/Dans-LN
Base Model(s)	NewEden/ckpt-44 NewEden/ckpt-36 NewEden/ckpt-42 NewEden/checkpoint-30 NewEden/ckpt-44 NewEden/ckpt-36 NewEden/ckpt-42 NewEden/checkpoint-30
Merged Model	Yes
Model Size	23.6b
Required VRAM	47.3 GB
Updated	2025-04-22
Maintainer	Delta-Vector
Model Type	mistral
Model Files	4.9 GB: 1-of-10 4.8 GB: 2-of-10 4.8 GB: 3-of-10 4.9 GB: 4-of-10 4.8 GB: 5-of-10 4.8 GB: 6-of-10 4.9 GB: 7-of-10 4.8 GB: 8-of-10 4.8 GB: 9-of-10 3.8 GB: 10-of-10
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Dans LN 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 Dans LN

Best Alternatives	Context / RAM	Downloads	Likes
MagiSeek V1.1	128K / 47.3 GB	77	1
Experiment024b	128K / 47.3 GB	14	3
Chat KTO	128K / 47.3 GB	7	0
Chat KTO	128K / 47.3 GB	6	0
Devstral Samll 2507 Bf16	128K / 46.9 GB	24	1
Devstral Small 2505 Bf16	128K / 46.9 GB	55	1
Magistral Small 2506	40K / 47.3 GB	36	0
...stral Small 2501 Tensopolis V1	32K / 47.3 GB	6	0
XortronCriminalComputingConfig	32K / 47.3 GB	314	172
Magistral Small 2506 Bf16	32K / 46.9 GB	33	10

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