What are the hardware requirements for Mergekit Slerp Qregpbv?

Mergekit Slerp Qregpbv requires approximately 44.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mergekit Slerp Qregpbv and how large is it?

Mergekit Slerp Qregpbv 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 Qregpbv?

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

Mergekit Slerp Qregpbv by mergekit-community — VRAM 44.1GB, 128K context

Name: Mergekit Slerp Qregpbv
Author: mergekit-community

Mergekit Slerp Qregpbv is an open-source language model by mergekit-community. Features: 22.1b LLM, VRAM: 44.1GB, Context: 128K, Merged, LLM Explorer Score: 0.17.

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

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

Mergekit Slerp Qregpbv Parameters and Internals

LLM Name	Mergekit Slerp Qregpbv
Repository 🤗	https://huggingface.co/mergekit-community/mergekit-slerp-qregpbv
Base Model(s)	Mergekit Slerp Znbfpqv mergekit-community/mergekit-passthrough-ckhursm mergekit-community/mergekit-slerp-znbfpqv mergekit-community/mergekit-passthrough-ckhursm
Merged Model	Yes
Model Size	22.1b
Required VRAM	44.1 GB
Updated	2025-09-23
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	131072
Model Max Length	131072
Transformers Version	4.51.1
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mergekit Slerp Qregpbv 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

Best Alternatives to Mergekit Slerp Qregpbv

Best Alternatives	Context / RAM	Downloads
Mergekit Slerp Znbfpqv	1000K / 44.1 GB	5
Mergekit Slerp Pjjpegi	1000K / 44.1 GB	7
Mergekit Slerp Ziotvxz	1000K / 44.1 GB	6
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

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