What are the hardware requirements for Mergekit Slerp Fecxcxs GGUF?

Mergekit Slerp Fecxcxs GGUF requires approximately 8.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Mergekit Slerp Fecxcxs GGUF is developed by MaziyarPanahi, a model with 34b 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 Fecxcxs GGUF?

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

Mergekit Slerp Fecxcxs GGUF by MaziyarPanahi — VRAM 8.4GB

Name: Mergekit Slerp Fecxcxs GGUF
Author: MaziyarPanahi

Mergekit Slerp Fecxcxs GGUF is an open-source language model by MaziyarPanahi. Features: 34b LLM, VRAM: 8.4GB, Quantized, LLM Explorer Score: 0.13.

2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:budecosystem/code-m... Base model:mergekit-community/... Base model:oobabooga/codebooga... Base model:quantized:mergekit-... Endpoints compatible Gguf Llama Merge Mergekit Mistral Quantized Region:us Safetensors

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

Mergekit Slerp Fecxcxs GGUF Parameters and Internals

Model Type

text-generation

Additional Notes

The model files are in GGUF format, which is a new format introduced by the llama.cpp team on August 21st 2023. GGUF is a replacement for GGML, which is no longer supported by llama.cpp.

LLM Name	Mergekit Slerp Fecxcxs GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/mergekit-slerp-fecxcxs-GGUF
Model Name	mergekit-slerp-fecxcxs-GGUF
Model Creator	mergekit-community
Base Model(s)	mergekit-community/mergekit-slerp-fecxcxs mergekit-community/mergekit-slerp-fecxcxs
Model Size	34b
Required VRAM	8.4 GB
Updated	2026-07-05
Maintainer	MaziyarPanahi
Model Type	mistral
Model Files	8.4 GB 12.0 GB 11.0 GB 9.8 GB 13.6 GB 12.9 GB 16.0 GB 15.6 GB 18.6 GB 24.1 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel

Rank the Mergekit Slerp Fecxcxs 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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