What are the hardware requirements for Mergekit Task Arithmetic Abcjxga?

Mergekit Task Arithmetic Abcjxga requires approximately 40.8 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mergekit Task Arithmetic Abcjxga and how large is it?

Mergekit Task Arithmetic Abcjxga is developed by mergekit-community, a model with 9b 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 Task Arithmetic Abcjxga?

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

Mergekit Task Arithmetic Abcjxga by mergekit-community — VRAM 40.8GB, 8K context

Name: Mergekit Task Arithmetic Abcjxga
Author: mergekit-community

Mergekit Task Arithmetic Abcjxga is an open-source language model by mergekit-community. Features: 9b LLM, VRAM: 40.8GB, Context: 8K, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2212.04089 Base model:ilyagusev/gemma-2-9... Base model:kr-x-ai/gemma-2-9b-... Base model:sam-paech/darkest-m... Endpoints compatible Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-task_arithmetic-abcjxga

Mergekit Task Arithmetic Abcjxga Parameters and Internals

LLM Name	Mergekit Task Arithmetic Abcjxga
Repository 🤗	https://huggingface.co/mergekit-community/mergekit-task_arithmetic-abcjxga
Base Model(s)	Gemma 2 9B Untied Darkest Muse V1 Gemma 2 9B It Abliterated KR-X-AI/gemma-2-9b-untied sam-paech/Darkest-muse-v1 IlyaGusev/gemma-2-9b-it-abliterated
Merged Model	Yes
Model Size	9b
Required VRAM	40.8 GB
Updated	2026-06-30
Maintainer	mergekit-community
Model Type	gemma2
Model Files	3.7 GB: 1-of-9 4.9 GB: 2-of-9 5.0 GB: 3-of-9 4.9 GB: 4-of-9 5.0 GB: 5-of-9 5.0 GB: 6-of-9 5.0 GB: 7-of-9 4.9 GB: 8-of-9 2.4 GB: 9-of-9
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.46.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float32

Rank the Mergekit Task Arithmetic Abcjxga 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 Task Arithmetic Abcjxga

Best Alternatives	Context / RAM	Downloads	Likes
G2 GSHT 32K	32K / 20.4 GB	8	1
SystemGemma2 9B It	32K / 18.6 GB	5	2
Gemma 2 9B It	8K / 18.6 GB	80757	11
GWQ 9B Preview2	8K / 18.6 GB	11	10
Gemma 2 9B It	8K / 18.6 GB	6	0
Gemma 2 9B It SimPO	8K / 18.6 GB	473	173
Gemma 2 9B It	8K / 18.6 GB	323635	837
Gemma 2 9B It Blend Rebase	8K / 20.4 GB	5	0
Gemma 2 9B JEE Socratic Final	8K / 18.6 GB	1118	0
Gemma 2 9B	8K / 37.1 GB	95888	717

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