What are the hardware requirements for Mergekit Slerp Ziotvxz?

Mergekit Slerp Ziotvxz requires approximately 44.1 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mergekit Slerp Ziotvxz and how large is it?

Mergekit Slerp Ziotvxz is developed by mergekit-community, a model with 22.1b 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 Ziotvxz?

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

Mergekit Slerp Ziotvxz by mergekit-community — VRAM 44.1GB, 1000K context

Name: Mergekit Slerp Ziotvxz
Author: mergekit-community

Mergekit Slerp Ziotvxz is an open-source language model by mergekit-community. Features: 22.1b LLM, VRAM: 44.1GB, Context: 1000K, Merged, LLM Explorer Score: 0.17.

Merged Model Autotrain compatible Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-slerp-ziotvxz

Mergekit Slerp Ziotvxz Parameters and Internals

LLM Name	Mergekit Slerp Ziotvxz
Repository 🤗	https://huggingface.co/mergekit-community/mergekit-slerp-ziotvxz
Base Model(s)	Mergekit Slerp Tuccilc Mergekit Passthrough Yhjqgnd mergekit-community/mergekit-slerp-tuccilc mergekit-community/mergekit-passthrough-yhjqgnd
Merged Model	Yes
Model Size	22.1b
Required VRAM	44.1 GB
Updated	2025-09-18
Maintainer	mergekit-community
Model Type	mistral
Model Files	4.9 GB: 1-of-9 4.9 GB: 2-of-9 4.9 GB: 3-of-9 4.9 GB: 4-of-9 4.9 GB: 5-of-9 4.9 GB: 6-of-9 4.9 GB: 7-of-9 4.9 GB: 8-of-9 4.9 GB: 9-of-9
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.51.1
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mergekit Slerp Ziotvxz 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 Ziotvxz

Best Alternatives	Context / RAM	Downloads
Mergekit Slerp Znbfpqv	1000K / 44.1 GB	5
Mergekit Slerp Pjjpegi	1000K / 44.1 GB	7
Mergekit Slerp Eknjjvm	1000K / 44.1 GB	7
Mergekit Slerp Tuccilc	1000K / 44.1 GB	6
Mergekit Slerp Jhicokf	1000K / 44.1 GB	5
Mergekit Passthrough Rqhssas	1000K / 44.2 GB	8
Mergekit Slerp Ropkjrp	1000K / 44.1 GB	7
Mergekit Passthrough Btkhcer	1000K / 44.2 GB	5
Mergekit Slerp Mjfukvb	128K / 44.1 GB	6
Mergekit Slerp Qregpbv	128K / 44.1 GB	5

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