What are the hardware requirements for Mergekit Dare Ties Vnjbera?

Mergekit Dare Ties Vnjbera requires approximately 6.4 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 Dare Ties Vnjbera and how large is it?

Mergekit Dare Ties Vnjbera is developed by mergekit-community, 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 Dare Ties Vnjbera?

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

Mergekit Dare Ties Vnjbera by mergekit-community — VRAM 6.4GB, 128K context

Name: Mergekit Dare Ties Vnjbera
Author: mergekit-community

Mergekit Dare Ties Vnjbera is an open-source language model by mergekit-community. Features: 3b LLM, VRAM: 6.4GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2311.03099 Base model:alpindale/llama-3.2... Base model:belyakoff/llama-3.2... Base model:sethburkart/llama-3... Base model:unsloth/llama-3.2-3... Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-dare_ties-vnjbera

Mergekit Dare Ties Vnjbera Parameters and Internals

LLM Name	Mergekit Dare Ties Vnjbera
Repository 🤗	https://huggingface.co/mergekit-community/mergekit-dare_ties-vnjbera
Base Model(s)	alpindale/Llama-3.2-3B belyakoff/llama-3.2-3b-instruct-fine-tuned unsloth/Llama-3.2-3B-Instruct Medragondot/llama-3.2-3b-thinking alpindale/Llama-3.2-3B belyakoff/llama-3.2-3b-instruct-fine-tuned unsloth/Llama-3.2-3B-Instruct Medragondot/llama-3.2-3b-thinking
Merged Model	Yes
Model Size	3b
Required VRAM	6.4 GB
Updated	2026-07-29
Maintainer	mergekit-community
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.4 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Mergekit Dare Ties Vnjbera 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

Best Alternatives to Mergekit Dare Ties Vnjbera

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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
... 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
... 3.2 3B Math Instruct RE1 ORPO	128K / 6.5 GB	48	0

Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/mergekit-dare_ties-vnjbera.