What are the hardware requirements for Mergekit Ties Rraxdhv?

Mergekit Ties Rraxdhv requires approximately 18.6 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 Ties Rraxdhv and how large is it?

Mergekit Ties Rraxdhv 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 Ties Rraxdhv?

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

Mergekit Ties Rraxdhv by mergekit-community — VRAM 18.6GB, 8K context

Name: Mergekit Ties Rraxdhv
Author: mergekit-community

Mergekit Ties Rraxdhv is an open-source language model by mergekit-community. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, Merged, LLM Explorer Score: 0.21.

Merged Model Arxiv:2306.01708 Base model:anthracite-org/magn... Base model:flammenai/mahou-1.3... Base model:rtzr/ko-gemma-2-9b-... Base model:unsloth/gemma-2-9b-... Conversational Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-ties-rraxdhv

Mergekit Ties Rraxdhv Parameters and Internals

LLM Name	Mergekit Ties Rraxdhv
Repository 🤗	https://huggingface.co/mergekit-community/mergekit-ties-rraxdhv
Base Model(s)	Gemma 2 9B It Magnum V3 9B Customgemma2 Ko Gemma 2 9B It flammenai/Mahou-1.3-gemma2-9B ...LLM X Gemma 2 9B CyberSecurity unsloth/gemma-2-9b-it anthracite-org/magnum-v3-9b-customgemma2 rtzr/ko-gemma-2-9b-it flammenai/Mahou-1.3-gemma2-9B AlicanKiraz0/SenecaLLM_x_gemma-2-9b-CyberSecurity
Merged Model	Yes
Model Size	9b
Required VRAM	18.6 GB
Updated	2026-07-25
Maintainer	mergekit-community
Model Type	gemma2
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.6 GB: 4-of-4
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.48.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Mergekit Ties Rraxdhv 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 Ties Rraxdhv

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-ties-rraxdhv.