What are the hardware requirements for Minerva 7B Base V1.0?

Minerva 7B Base V1.0 requires approximately 14.8 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Minerva 7B Base V1.0 and how large is it?

Minerva 7B Base V1.0 is developed by sapienzanlp, a model with 7b 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 Minerva 7B Base V1.0?

Minerva 7B Base V1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Minerva 7B Base V1.0 by sapienzanlp — VRAM 14.8GB, 4K context

Name: Minerva 7B Base V1.0
Author: sapienzanlp

Minerva 7B Base V1.0 is an open-source language model by sapienzanlp. Features: 7b LLM, VRAM: 14.8GB, Context: 4K, License: apache-2.0, Merged, LLM Explorer Score: 0.14.

Merged Model Dataset:bigcode/the-stack-v2 Dataset:huggingfacefw/fineweb Dataset:togethercomputer/redpa... Dataset:uonlp/culturax Deploy:azure En Endpoints compatible It Mistral Pretrained Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sapienzanlp/Minerva-7B-base-v1.0

Minerva 7B Base V1.0 Parameters and Internals

LLM Name	Minerva 7B Base V1.0
Repository 🤗	https://huggingface.co/sapienzanlp/Minerva-7B-base-v1.0
Merged Model	Yes
Model Size	7b
Required VRAM	14.8 GB
Updated	2026-07-24
Maintainer	sapienzanlp
Model Type	mistral
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.8 GB: 3-of-3
Supported Languages	it en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.46.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	51200
Torch Data Type	float16

Rank the Minerva 7B Base V1.0 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 Minerva 7B Base V1.0

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
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
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than sapienzanlp/Minerva-7B-base-v1.0.