What are the hardware requirements for Jukofyork Dark Miqu 103B 5.0bpw H8 EXL2?

Jukofyork Dark Miqu 103B 5.0bpw H8 EXL2 requires approximately 65.1 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 Jukofyork Dark Miqu 103B 5.0bpw H8 EXL2 and how large is it?

Jukofyork Dark Miqu 103B 5.0bpw H8 EXL2 is developed by BigHuggyD, 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 Jukofyork Dark Miqu 103B 5.0bpw H8 EXL2?

Jukofyork Dark Miqu 103B 5.0bpw H8 EXL2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Jukofyork Dark Miqu 103B 5.0bpw H8 EXL2 by BigHuggyD — VRAM 65.1GB, 31K context

Name: Jukofyork Dark Miqu 103B 5.0bpw H8 EXL2
Author: BigHuggyD

Jukofyork Dark Miqu 103B 5.0bpw H8 EXL2 is an open-source language model by BigHuggyD. Features: 103b LLM, VRAM: 65.1GB, Context: 31K, License: other, Quantized, LLM Explorer Score: 0.13.

5-bit Endpoints compatible Exl2 Llama Merge Mergekit Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/BigHuggyD/jukofyork_Dark-Miqu-103B-5.0bpw-h8-exl2

Jukofyork Dark Miqu 103B 5.0bpw H8 EXL2 Parameters and Internals

Model Type

self-merge

Additional Notes

Created using [Mergekit](https://github.com/arcee-ai/mergekit).

Input Output

Input Format:

Vicuna format: `USER: {prompt} ASSISTANT: `

Output Format:

The output format corresponding to the input Vicuna format.

LLM Name	Jukofyork Dark Miqu 103B 5.0bpw H8 EXL2
Repository 🤗	https://huggingface.co/BigHuggyD/jukofyork_Dark-Miqu-103B-5.0bpw-h8-exl2
Model Size	103b
Required VRAM	65.1 GB
Updated	2026-08-25
Maintainer	BigHuggyD
Model Type	llama
Model Files	8.6 GB: 1-of-8 8.5 GB: 2-of-8 8.5 GB: 3-of-8 8.6 GB: 4-of-8 8.6 GB: 5-of-8 8.5 GB: 6-of-8 8.6 GB: 7-of-8 5.2 GB: 8-of-8
Quantization Type	exl2
Model Architecture	LlamaForCausalLM
License	other
Context Length	32764
Model Max Length	32764
Transformers Version	4.39.3
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Jukofyork Dark Miqu 103B 5.0bpw H8 EXL2 capabilities

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Instruction Following and Task Automation
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Multi-Language Support and Translation

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