What are the hardware requirements for Mergekit Ties Poovzrh?

Mergekit Ties Poovzrh requires approximately 7.2 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 Ties Poovzrh and how large is it?

Mergekit Ties Poovzrh is developed by Hjgugugjhuhjggg, a model with 3b 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 Poovzrh?

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

Mergekit Ties Poovzrh by Hjgugugjhuhjggg — VRAM 7.2GB, 128K context

Name: Mergekit Ties Poovzrh
Author: Hjgugugjhuhjggg

Mergekit Ties Poovzrh is an open-source language model by Hjgugugjhuhjggg. Features: 3b LLM, VRAM: 7.2GB, Context: 128K, Fine-Tuned, Instruction-Based, Merged, LLM Explorer Score: 0.15.

Merged Model Arxiv:2306.01708 Base model:bunnycore/llama-3.2... Base model:bunnycore/llama-3.2... Base model:bunnycore/llama-3.2... Base model:bunnycore/llama-3.2... Base model:bunnycore/llama-3.2... Base model:bunnycore/llama-3.2... Base model:huihui-ai/llama-3.2... Base model:noaebbot/llama3.2-3... Base model:roger33303/best mod... Conversational Endpoints compatible Finetuned Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-poovzrh

Mergekit Ties Poovzrh Parameters and Internals

LLM Name	Mergekit Ties Poovzrh
Repository 🤗	https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-poovzrh
Base Model(s)	bunnycore/Llama-3.2-3B-TitanFusion roger33303/Best_Model-llama3.2-3b-Instruct-Finetune-website-QnA bunnycore/Llama-3.2-3B-Stock bunnycore/Llama-3.2-3B-Sci-Think noaebbot/llama3.2-3B-insights bunnycore/Llama-3.2-3B-Prodigy bunnycore/Llama-3.2-3B-TitanFusion-v2 bunnycore/Llama-3.2-3B-Mix huihui-ai/Llama-3.2-3B-Instruct-abliterated bunnycore/Llama-3.2-3B-TitanFusion roger33303/Best_Model-llama3.2-3b-Instruct-Finetune-website-QnA bunnycore/Llama-3.2-3B-Stock bunnycore/Llama-3.2-3B-Sci-Think noaebbot/llama3.2-3B-insights bunnycore/Llama-3.2-3B-Prodigy bunnycore/Llama-3.2-3B-TitanFusion-v2 bunnycore/Llama-3.2-3B-Mix huihui-ai/Llama-3.2-3B-Instruct-abliterated
Merged Model	Yes
Model Size	3b
Required VRAM	7.2 GB
Updated	2026-07-22
Maintainer	Hjgugugjhuhjggg
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.2 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Mergekit Ties Poovzrh 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

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Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
Llama 3.2 3B Instruct	128K / 6.5 GB	186207	96
Llama3.2 3B Manumit V1	128K / 6.4 GB	135	0
Llama 3.2 3B Instruct	128K / 6.5 GB	991	9
Alloma 3B Instruct	128K / 6.5 GB	55456	6
... V7 SFT 10voicebot Loopcleaned	128K / 6.5 GB	229	0
Llama 3.2 3B RP Toxic Fuse	128K / 6.4 GB	14	2
DeepSeek R1 Distill Llama 3B	128K / 6.5 GB	247	16
Schematron 3B	128K / 6.5 GB	969	336
ReasoningCore 3B T1 1	128K / 6.5 GB	8	1

Note: green Score (e.g. "73.2") means that the model is better than Hjgugugjhuhjggg/mergekit-ties-poovzrh.