What are the hardware requirements for Mergekit Slerp Ieauevl GGUF?

Mergekit Slerp Ieauevl GGUF requires approximately 2.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mergekit Slerp Ieauevl GGUF and how large is it?

Mergekit Slerp Ieauevl GGUF is developed by MaziyarPanahi, a model with 10.8b 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 Mergekit Slerp Ieauevl GGUF?

Mergekit Slerp Ieauevl GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mergekit Slerp Ieauevl GGUF by MaziyarPanahi — VRAM 2.7GB

Name: Mergekit Slerp Ieauevl GGUF
Author: MaziyarPanahi

Mergekit Slerp Ieauevl GGUF is an open-source language model by MaziyarPanahi. Features: 10.8b LLM, VRAM: 2.7GB, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:beowolx/codeninja-1... Base model:mergekit-community/... Base model:quantized:mergekit-... Base model:yanolja/eeve-korean... Conversational Endpoints compatible Gguf Instruct Merge Mergekit Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/mergekit-slerp-ieauevl-GGUF

Mergekit Slerp Ieauevl GGUF Parameters and Internals

Model Type

text-generation

Additional Notes

Model is quantized by MaziyarPanahi and formatted in GGUF, a new format by llama.cpp team.

LLM Name	Mergekit Slerp Ieauevl GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/mergekit-slerp-ieauevl-GGUF
Model Name	mergekit-slerp-ieauevl-GGUF
Model Creator	mergekit-community
Base Model(s)	mergekit-community/mergekit-slerp-ieauevl mergekit-community/mergekit-slerp-ieauevl
Model Size	10.8b
Required VRAM	2.7 GB
Updated	2026-08-02
Maintainer	MaziyarPanahi
Model Type	mistral
Instruction-Based	Yes
Model Files	2.7 GB 3.8 GB 3.5 GB 3.2 GB 4.4 GB 4.1 GB 5.1 GB 5.0 GB 5.9 GB 7.7 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel

Rank the Mergekit Slerp Ieauevl GGUF capabilities

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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

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