What are the hardware requirements for Mergekit Slerp Ozbsicw GGUF?

Mergekit Slerp Ozbsicw GGUF requires approximately 2.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Mergekit Slerp Ozbsicw GGUF is developed by MaziyarPanahi, a model with 1m 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 Ozbsicw GGUF?

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

Mergekit Slerp Ozbsicw GGUF by MaziyarPanahi — VRAM 2.5GB

Name: Mergekit Slerp Ozbsicw GGUF
Author: MaziyarPanahi

Mergekit Slerp Ozbsicw GGUF is an open-source language model by MaziyarPanahi. Features: 1m LLM, VRAM: 2.5GB, Quantized, LLM Explorer Score: 0.14.

2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:largeworldmodel/lwm... Base model:mergekit-community/... 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-ozbsicw-GGUF

Mergekit Slerp Ozbsicw GGUF Parameters and Internals

Model Type

text-generation

LLM Name	Mergekit Slerp Ozbsicw GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/mergekit-slerp-ozbsicw-GGUF
Model Name	mergekit-slerp-ozbsicw-GGUF
Model Creator	mergekit-community
Base Model(s)	mergekit-community/mergekit-slerp-ozbsicw mergekit-community/mergekit-slerp-ozbsicw
Model Size	1m
Required VRAM	2.5 GB
Updated	2026-08-08
Maintainer	MaziyarPanahi
Model Type	mistral
Model Files	2.5 GB 3.6 GB 3.3 GB 3.0 GB 4.1 GB 3.9 GB 4.8 GB 4.7 GB 5.5 GB 7.2 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel

Rank the Mergekit Slerp Ozbsicw GGUF 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 Mergekit Slerp Ozbsicw GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Triangulum 1B GGUF	0K / 0.8 GB	43	1
Llama Deepsync 1B GGUF	0K / 0.8 GB	10	3
... SmolTalk 3.2 1B Instruct GGUF	0K / 0.8 GB	107	4
Tinyllama 1B Alpaca Gguf	0K / 0.7 GB	30	0
Prem 1B Chat GGUF	0K / 0.7 GB	26	1
Bagel DPO 8x7b V0.2 GGUF	0K / 17.3 GB	222	6
Bagel 8x7b V0.2 GGUF	0K / 15.6 GB	160	8
...inyllama 2 1B Miniguanaco GGUF	0K / 0.5 GB	1982	17
Medical	0K / 0 GB	15	0
Llama 3.2 1B Creative Lora	0K / 0 GB	0	4

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/mergekit-slerp-ozbsicw-GGUF.