What are the hardware requirements for Mergekit Ties Asjuuws?

Mergekit Ties Asjuuws requires approximately 45.7 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mergekit Ties Asjuuws and how large is it?

Mergekit Ties Asjuuws is developed by mergekit-community, a model with 23b 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 Asjuuws?

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

Mergekit Ties Asjuuws by mergekit-community — VRAM 45.7GB, 1000K context

Name: Mergekit Ties Asjuuws
Author: mergekit-community

Mergekit Ties Asjuuws is an open-source language model by mergekit-community. Features: 23b LLM, VRAM: 45.7GB, Context: 1000K, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2306.01708 Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-ties-asjuuws

Mergekit Ties Asjuuws Parameters and Internals

LLM Name	Mergekit Ties Asjuuws
Repository 🤗	https://huggingface.co/mergekit-community/mergekit-ties-asjuuws
Base Model(s)	...ND Gutenberg Lyra4 Lyra 23B V2 Mergekit Passthrough Romewyb DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-23B-V2 mergekit-community/mergekit-passthrough-romewyb
Merged Model	Yes
Model Size	23b
Required VRAM	45.7 GB
Updated	2026-07-03
Maintainer	mergekit-community
Model Type	mistral
Model Files	4.9 GB: 1-of-10 4.9 GB: 2-of-10 4.9 GB: 3-of-10 4.9 GB: 4-of-10 4.9 GB: 5-of-10 4.9 GB: 6-of-10 4.9 GB: 7-of-10 4.9 GB: 8-of-10 4.9 GB: 9-of-10 1.6 GB: 10-of-10
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.49.0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	float16

Rank the Mergekit Ties Asjuuws capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Ties Asjuuws

Best Alternatives	Context / RAM	Downloads	Likes
...ppelKartoffel Mistral Nemo 23B	1000K / 46.3 GB	10	0
Mergekit Model Stock Gcraeln	1000K / 45.7 GB	5	0
...ND Gutenberg Lyra4 Lyra 23B V2	1000K / 44.4 GB	5	1

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