What are the hardware requirements for Aurora Nights 103B V1.0 GPTQ?

Aurora Nights 103B V1.0 GPTQ requires approximately 52.5 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 Aurora Nights 103B V1.0 GPTQ and how large is it?

Aurora Nights 103B V1.0 GPTQ is developed by TheBloke, a model with 103b 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 Aurora Nights 103B V1.0 GPTQ?

Aurora Nights 103B V1.0 GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aurora Nights 103B V1.0 GPTQ by TheBloke — VRAM 52.5GB, 4K context

Name: Aurora Nights 103B V1.0 GPTQ
Author: TheBloke

Aurora Nights 103B V1.0 GPTQ is an open-source language model by TheBloke. Features: 103b LLM, VRAM: 52.5GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.1.

Arxiv:2307.11760 4-bit Base model:quantized:sophosymp... Base model:sophosympatheia/aur... En Gptq Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TheBloke/Aurora-Nights-103B-v1.0-GPTQ

Aurora Nights 103B V1.0 GPTQ Parameters and Internals

Model Type

llama

Use Cases

Areas:

roleplaying, storytelling

Primary Use Cases:

creative writing, instruction following

Limitations:

Limited performance on tasks outside creative writing and roleplaying

Considerations:

User responsibility for use.

Additional Notes

Features 120 layers and is a frankenmerge of its predecessor, improving on storytelling.

Supported Languages

en (proficient)

Training Details

Methodology:

Frankenmerge of Aurora-Nights-70B-v1.0 with itself

Context Length:

8192

Model Architecture:

120 layers, float16 dtype

Input Output

Input Format:

{system_message} <|user|> {prompt} <|assistant|>

Accepted Modalities:

text

LLM Name	Aurora Nights 103B V1.0 GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Aurora-Nights-103B-v1.0-GPTQ
Model Name	Aurora Nights 103B v1.0
Model Creator	Sophosympatheia
Base Model(s)	sophosympatheia/Aurora-Nights-103B-v1.0 sophosympatheia/Aurora-Nights-103B-v1.0
Model Size	103b
Required VRAM	52.5 GB
Updated	2026-08-01
Maintainer	TheBloke
Model Type	llama
Model Files	49.0 GB: 1-of-2 3.5 GB: 2-of-2
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Aurora Nights 103B V1.0 GPTQ 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 Aurora Nights 103B V1.0 GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Rogue Rose 103B V0.2 GPTQ	4K / 52.5 GB	3	1
Solus 103B L2 GPTQ	4K / 52.6 GB	3	1
Lila 103B L2 GPTQ	4K / 52.6 GB	8	1
... Dark Miqu 103B 5.0bpw H8 EXL2	31K / 65.1 GB	10	0
...qu 103B V1.5 EXL2 5.0bpw Rpcal	31K / 64.9 GB	9	1
... Miqu 103B V1.5 3.5bpw H6 EXL2	31K / 45.6 GB	2	1
...qu 103B V1.5 EXL2 4.0bpw Rpcal	31K / 52.1 GB	3	1
...qu 103B V1.5 EXL2 3.0bpw Rpcal	31K / 39.3 GB	2	1
...ght Miqu 103B V1.0 EXL2 4.5bpw	31K / 58.7 GB	7	1
...ght Miqu 103B V1.0 EXL2 4.0bpw	31K / 52.2 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Aurora-Nights-103B-v1.0-GPTQ.