What are the hardware requirements for Notus TheTop 7B Passthrough?

Notus TheTop 7B Passthrough requires approximately 18 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Notus TheTop 7B Passthrough and how large is it?

Notus TheTop 7B Passthrough is developed by powermove72, a model with 9b 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 Notus TheTop 7B Passthrough?

Notus TheTop 7B Passthrough is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Notus TheTop 7B Passthrough by powermove72 — VRAM 18GB, 32K context

Name: Notus TheTop 7B Passthrough
Author: powermove72

Notus TheTop 7B Passthrough is an open-source language model by powermove72. Features: 9b LLM, VRAM: 18GB, Context: 32K, MoE, Instruction-Based, Merged, LLM Explorer Score: 0.13.

Merged Model Argilla/notus-7b-v1 Base model:argilla/notus-7b-v1 Base model:maziyarpanahi/theto... Conversational Endpoints compatible Instruct Maziyarpanahi/thetop-5x7b-inst... Mistral Moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/powermove72/Notus-TheTop-7b-Passthrough

Notus TheTop 7B Passthrough Parameters and Internals

Model Type

text generation

Additional Notes

This model is a merge using LazyMergekit with a configuration that passes through layers from two different models for integration.

LLM Name	Notus TheTop 7B Passthrough
Repository 🤗	https://huggingface.co/powermove72/Notus-TheTop-7b-Passthrough
Base Model(s)	MaziyarPanahi/TheTop-5x7B-Instruct-S3-v0.1 Notus 7B V1 MaziyarPanahi/TheTop-5x7B-Instruct-S3-v0.1 argilla/notus-7b-v1
Merged Model	Yes
Model Size	9b
Required VRAM	18 GB
Updated	2026-04-10
Maintainer	powermove72
Model Type	mistral
Instruction-Based	Yes
Model Files	1.0 GB: 1-of-19 0.9 GB: 2-of-19 1.0 GB: 3-of-19 1.0 GB: 4-of-19 1.0 GB: 5-of-19 0.9 GB: 6-of-19 1.0 GB: 7-of-19 1.0 GB: 8-of-19 1.0 GB: 9-of-19 0.9 GB: 10-of-19 1.0 GB: 11-of-19 1.0 GB: 12-of-19 1.0 GB: 13-of-19 0.9 GB: 14-of-19 1.0 GB: 15-of-19 1.0 GB: 16-of-19 1.0 GB: 17-of-19 1.0 GB: 18-of-19 0.4 GB: 19-of-19
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Notus TheTop 7B Passthrough 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 Notus TheTop 7B Passthrough

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 9B Instruct	32K / 35.9 GB	7	0
Mistral 9B Instruct V0.2	32K / 17.9 GB	89	3

Note: green Score (e.g. "73.2") means that the model is better than powermove72/Notus-TheTop-7b-Passthrough.