What are the hardware requirements for Mergekit Ties Xflmond?

Mergekit Ties Xflmond 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 Xflmond and how large is it?

Mergekit Ties Xflmond 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 Xflmond?

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

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

Name: Mergekit Ties Xflmond
Author: Hjgugugjhuhjggg

Mergekit Ties Xflmond 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:huihui-ai/llama-3.2... Base model:meta-llama/llama-3.... Base model:meta-llama/llama-3.... Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

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

Mergekit Ties Xflmond Parameters and Internals

LLM Name	Mergekit Ties Xflmond
Repository 🤗	https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-xflmond
Base Model(s)	meta-llama/Llama-3.2-3B-Instruct huihui-ai/Llama-3.2-3B-Instruct-abliterated meta-llama/Llama-3.2-3B meta-llama/Llama-3.2-3B-Instruct huihui-ai/Llama-3.2-3B-Instruct-abliterated meta-llama/Llama-3.2-3B
Merged Model	Yes
Model Size	3b
Required VRAM	7.2 GB
Updated	2026-07-06
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	4.45.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Mergekit Ties Xflmond 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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Note: green Score (e.g. "73.2") means that the model is better than Hjgugugjhuhjggg/mergekit-ties-xflmond.