What are the hardware requirements for NexusMistral2 7B Slerp?

NexusMistral2 7B Slerp requires approximately 14.4 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 NexusMistral2 7B Slerp and how large is it?

NexusMistral2 7B Slerp is developed by allknowingroger, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does NexusMistral2 7B Slerp perform on standard benchmarks?

NexusMistral2 7B Slerp has the following published scores: MMLU 62.97. Compare against reference models on this page or on the LLM Explorer leaderboards.

NexusMistral2 7B Slerp by allknowingroger — VRAM 14.4GB, 32K context

Name: NexusMistral2 7B Slerp
Author: allknowingroger

NexusMistral2 7B Slerp is an open-source language model by allknowingroger. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.13, Arc: 66.3, HellaSwag: 84.7, MMLU: 63, GSM8K: 54.7.

Merged Model Autotrain compatible Base model:mistralai/mistral-7... Base model:nexusflow/starling-... Conversational Endpoints compatible Instruct Mistral Mistralai/mistral-7b-instruct-... Nexusflow/starling-lm-7b-beta Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/allknowingroger/NexusMistral2-7B-slerp

NexusMistral2 7B Slerp Parameters and Internals

LLM Name	NexusMistral2 7B Slerp
Repository 🤗	https://huggingface.co/allknowingroger/NexusMistral2-7B-slerp
Base Model(s)	Starling LM 7B Beta mistralai/Mistral-7B-Instruct-v0.2 Nexusflow/Starling-LM-7B-beta mistralai/Mistral-7B-Instruct-v0.2
Merged Model	Yes
Model Size	7b
Required VRAM	14.4 GB
Updated	2025-09-22
Maintainer	allknowingroger
Model Type	mistral
Instruction-Based	Yes
Model Files	2.0 GB: 1-of-8 1.9 GB: 2-of-8 2.0 GB: 3-of-8 2.0 GB: 4-of-8 1.9 GB: 5-of-8 1.9 GB: 6-of-8 1.9 GB: 7-of-8 0.8 GB: 8-of-8
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the NexusMistral2 7B Slerp 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 NexusMistral2 7B Slerp

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
... Summarize 64K QLoRANET Merged	128K / 4.1 GB	10	0
...1 Summarize 64K LoRANET Merged	128K / 14.4 GB	13	0
Mistral 7B Instruct V0.2	32K / 14.4 GB	1115337	3184
Mistral 7B Instruct V0.1	32K / 14.4 GB	253629	1846
Mistral 7B Instruct V0.2	32K / 14.4 GB	1338	0
Lexi Coder V5.1	32K / 14.5 GB	197	0

Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/NexusMistral2-7B-slerp.