What are the hardware requirements for Mergekit Dare Ties Ajgjgea?

Mergekit Dare Ties Ajgjgea requires approximately 3 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 Ajgjgea and how large is it?

Mergekit Dare Ties Ajgjgea is developed by mergekit-community, a model with 1b 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 Ajgjgea?

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

Mergekit Dare Ties Ajgjgea by mergekit-community — VRAM 3GB, 128K context

Name: Mergekit Dare Ties Ajgjgea
Author: mergekit-community

Mergekit Dare Ties Ajgjgea is an open-source language model by mergekit-community. Features: 1b LLM, VRAM: 3GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.2.

Merged Model Arxiv:2306.01708 Arxiv:2311.03099 Base model:deepauto-ai/explore... Base model:kidikaros/llama-3.2... Base model:passing2961/thanos-... Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

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

Mergekit Dare Ties Ajgjgea Parameters and Internals

LLM Name	Mergekit Dare Ties Ajgjgea
Repository 🤗	https://huggingface.co/mergekit-community/mergekit-dare_ties-ajgjgea
Base Model(s)	DeepAutoAI/Explore_Llama-3.2-1B-Inst_v1.1 KidIkaros/Llama-3.2-1B-Instruct-abliterated Thanos 1B DeepAutoAI/Explore_Llama-3.2-1B-Inst_v1.1 KidIkaros/Llama-3.2-1B-Instruct-abliterated passing2961/Thanos-1B
Merged Model	Yes
Model Size	1b
Required VRAM	3 GB
Updated	2026-07-24
Maintainer	mergekit-community
Model Type	llama
Instruction-Based	Yes
Model Files	3.0 GB: 1-of-1
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Mergekit Dare Ties Ajgjgea 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 Ajgjgea

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
LlaMa3.2 1B Instruct	128K / 4.9 GB	14	0
Llama 3.2 1B Instruct Bf16	128K / 2.5 GB	510	5
Llama 3.2 1B Instruct	128K / 2.5 GB	20	0
Llama3.2 1B Manumit V1	128K / 2.5 GB	132	0
...Claude Opus Fable5 V2 Thinking	128K / 2.2 GB	288	4
Llama 3.2 Mavrick.Spark 1B	128K / 2.5 GB	260	2
Type O1 Mini Instruct	128K / 2.5 GB	232	0

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