What are the hardware requirements for Mergekit Model Stock Uyjyafe?

Mergekit Model Stock Uyjyafe requires approximately 20.4 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 Model Stock Uyjyafe and how large is it?

Mergekit Model Stock Uyjyafe 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 Model Stock Uyjyafe?

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

Mergekit Model Stock Uyjyafe by mergekit-community — VRAM 20.4GB, 8K context

Name: Mergekit Model Stock Uyjyafe
Author: mergekit-community

Mergekit Model Stock Uyjyafe is an open-source language model by mergekit-community. Features: 9b LLM, VRAM: 20.4GB, Context: 8K, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2403.19522 Base model:djuna/g2-gsht-32k Base model:grimjim/magnolia-v3... Base model:kr-x-ai/gemma-2-9b-... Base model:mpasila/gemma2-ecli... Base model:touchnight/gemma-2-... Conversational Endpoints compatible Ext 8k Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-model_stock-uyjyafe

Mergekit Model Stock Uyjyafe Parameters and Internals

LLM Name	Mergekit Model Stock Uyjyafe
Repository 🤗	https://huggingface.co/mergekit-community/mergekit-model_stock-uyjyafe
Base Model(s)	G2 GSHT 32K Gemma 2 9B Untied ...rgekit Task Arithmetic Abcjxga ...2 Ifable Abliterated 9B Untied Casuar 9B Model Stock Gemma2 Eclipse 9B Magnolia V3 Gemma2 8K 9B djuna/G2-GSHT-32K KR-X-AI/gemma-2-9b-untied mergekit-community/mergekit-task_arithmetic-abcjxga TouchNight/gemma-2-Ifable-abliterated-9B-untied DreadPoor/Casuar-9B-Model_Stock mpasila/Gemma2-Eclipse-9B grimjim/Magnolia-v3-Gemma2-8k-9B
Merged Model	Yes
Model Size	9b
Required VRAM	20.4 GB
Updated	2026-08-08
Maintainer	mergekit-community
Model Type	gemma2
Model Files	5.0 GB: 1-of-5 5.0 GB: 2-of-5 4.9 GB: 3-of-5 5.0 GB: 4-of-5 0.5 GB: 5-of-5
Context Length	8k
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	bfloat16

Rank the Mergekit Model Stock Uyjyafe 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 Model Stock Uyjyafe

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-model_stock-uyjyafe.