What are the hardware requirements for Mergekit Ties Kmlzhzo?

Mergekit Ties Kmlzhzo 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 Kmlzhzo and how large is it?

Mergekit Ties Kmlzhzo 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 Kmlzhzo?

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

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

Name: Mergekit Ties Kmlzhzo
Author: Hjgugugjhuhjggg

Mergekit Ties Kmlzhzo is an open-source language model by Hjgugugjhuhjggg. Features: 3b LLM, VRAM: 7.2GB, Context: 128K, 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:bunnycore/llama-3.2... Base model:bunnycore/llama-3.2... Base model:bunnycore/llama-3.2... Base model:huihui-ai/llama-3.2... Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

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

Mergekit Ties Kmlzhzo Parameters and Internals

LLM Name	Mergekit Ties Kmlzhzo
Repository 🤗	https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-kmlzhzo
Base Model(s)	bunnycore/Llama-3.2-3B-Stock bunnycore/Llama-3.2-3B-ProdigyPlusPlus bunnycore/Llama-3.2-3B-Pure-RP bunnycore/Llama-3.2-3B-Prodigy bunnycore/Llama-3.2-3B-Long-Think bunnycore/Llama-3.2-3B-Apex bunnycore/Llama-3.2-3B-Sci-Think huihui-ai/Llama-3.2-3B-Instruct-abliterated bunnycore/Llama-3.2-3B-Booval bunnycore/Llama-3.2-3B-Mix-Skill bunnycore/Llama-3.2-3B-Stock bunnycore/Llama-3.2-3B-ProdigyPlusPlus bunnycore/Llama-3.2-3B-Pure-RP bunnycore/Llama-3.2-3B-Prodigy bunnycore/Llama-3.2-3B-Long-Think bunnycore/Llama-3.2-3B-Apex bunnycore/Llama-3.2-3B-Sci-Think huihui-ai/Llama-3.2-3B-Instruct-abliterated bunnycore/Llama-3.2-3B-Booval bunnycore/Llama-3.2-3B-Mix-Skill
Merged Model	Yes
Model Size	3b
Required VRAM	7.2 GB
Updated	2026-04-23
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 Kmlzhzo 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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... V7 SFT 10voicebot Loopcleaned	128K / 6.5 GB	229	0
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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-kmlzhzo.