What are the hardware requirements for Midnight Miqu 103B V1.5?

Midnight Miqu 103B V1.5 requires approximately 206.4 GB of VRAM and supports a context window of 31K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Midnight Miqu 103B V1.5 and how large is it?

Midnight Miqu 103B V1.5 is developed by FluffyKaeloky, 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 Midnight Miqu 103B V1.5?

Midnight Miqu 103B V1.5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Midnight Miqu 103B V1.5 by FluffyKaeloky — VRAM 206.4GB, 31K context

Name: Midnight Miqu 103B V1.5
Author: FluffyKaeloky

Midnight Miqu 103B V1.5 is an open-source language model by FluffyKaeloky. Features: 103b LLM, VRAM: 206.4GB, Context: 31K, Merged, LLM Explorer Score: 0.12.

Merged Model Conversational Deploy:azure Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/FluffyKaeloky/Midnight-Miqu-103B-v1.5

Midnight Miqu 103B V1.5 Parameters and Internals

Additional Notes

This model is a frankenmerge of Midnight-Miqu-70B-v1.5 with itself, capable of 32k context length.

LLM Name	Midnight Miqu 103B V1.5
Repository 🤗	https://huggingface.co/FluffyKaeloky/Midnight-Miqu-103B-v1.5
Merged Model	Yes
Model Size	103b
Required VRAM	206.4 GB
Updated	2026-07-25
Maintainer	FluffyKaeloky
Model Type	llama
Model Files	9.6 GB: 1-of-21 10.0 GB: 2-of-21 9.9 GB: 3-of-21 10.0 GB: 4-of-21 9.8 GB: 5-of-21 9.9 GB: 6-of-21 9.8 GB: 7-of-21 9.7 GB: 8-of-21 10.0 GB: 9-of-21 9.9 GB: 10-of-21 9.8 GB: 11-of-21 9.9 GB: 12-of-21 9.7 GB: 13-of-21 9.8 GB: 14-of-21 9.8 GB: 15-of-21 9.8 GB: 16-of-21 9.8 GB: 17-of-21 10.0 GB: 18-of-21 9.9 GB: 19-of-21 9.8 GB: 20-of-21 9.5 GB: 21-of-21
Model Architecture	LlamaForCausalLM
Context Length	32764
Model Max Length	32764
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Midnight Miqu 103B V1.5 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 Midnight Miqu 103B V1.5

Model	Likes	Downloads	VRAM
...qu 103B V1.5 EXL2 3.0bpw Rpcal	1	2	39 GB

Best Alternatives to Midnight Miqu 103B V1.5

Best Alternatives	Context / RAM	Downloads	Likes
Dark Miqu 103B	31K / 206.4 GB	30	2
BigWeave V15 103B	31K / 206.6 GB	85	2
Midnight Miqu 103B V1.0	31K / 206.4 GB	85	16
Midnight Rose 103B V2.0.3	4K / 206.6 GB	93	13
OmegaDolphin 103B V0.1	4K / 175.6 GB	6	1
KitchenSink 103b	4K / 178.6 GB	13	9
Midnight Rose 103B V1.0	4K / 206.6 GB	11	3
Aurora Nights 103B V1.0	4K / 206.6 GB	6	14
Rogue Rose 103B V0.2	4K / 206.5 GB	12	33
Lila 103B L2	4K / 206.2 GB	0	0

Note: green Score (e.g. "73.2") means that the model is better than FluffyKaeloky/Midnight-Miqu-103B-v1.5.