What are the hardware requirements for Mergekit Passthrough Atuidyj?

Mergekit Passthrough Atuidyj requires approximately 44.2 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 Passthrough Atuidyj and how large is it?

Mergekit Passthrough Atuidyj is developed by mergekit-community, a model with 17b 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 Passthrough Atuidyj?

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

Mergekit Passthrough Atuidyj by mergekit-community — VRAM 44.2GB, 128K context

Name: Mergekit Passthrough Atuidyj
Author: mergekit-community

Mergekit Passthrough Atuidyj is an open-source language model by mergekit-community. Features: 17b LLM, VRAM: 44.2GB, Context: 128K, Merged, LLM Explorer Score: 0.17.

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

Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-passthrough-atuidyj

Mergekit Passthrough Atuidyj Parameters and Internals

LLM Name	Mergekit Passthrough Atuidyj
Repository 🤗	https://huggingface.co/mergekit-community/mergekit-passthrough-atuidyj
Base Model(s)	MN Hekate Damnomeneia 17B mergekit-community/MN-Hekate-Damnomeneia-17B
Merged Model	Yes
Model Size	17b
Required VRAM	44.2 GB
Updated	2026-07-31
Maintainer	mergekit-community
Model Type	mistral
Model Files	4.9 GB: 1-of-9 4.9 GB: 2-of-9 4.9 GB: 3-of-9 4.9 GB: 4-of-9 4.9 GB: 5-of-9 5.0 GB: 6-of-9 4.9 GB: 7-of-9 4.9 GB: 8-of-9 4.9 GB: 9-of-9
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.1
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	131075
Torch Data Type	bfloat16

Rank the Mergekit Passthrough Atuidyj 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 Passthrough Atuidyj

Best Alternatives	Context / RAM	Downloads	Likes
MN Hekate Pyrtania 12B	128K / 24.5 GB	7	1
MN Hekate Limenoskopos 12B	128K / 24.5 GB	8	1
MN Hekate Limenoskopos 17B	128K / 33.2 GB	2	1
MN Hekate Nyktipolos 17B	128K / 33.2 GB	7	0
Clover3 17B	32K / 33.6 GB	835	11
Zeta 17B	32K / 33.6 GB	8	2

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