What are the hardware requirements for Minerva 7B Math V2?

Minerva 7B Math V2 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 Math V2 and how large is it?

Minerva 7B Math V2 is developed by Alelcv27, 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 Math V2?

Minerva 7B Math V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Minerva 7B Math V2 by Alelcv27 — VRAM 14.8GB, 4K context

Name: Minerva 7B Math V2
Author: Alelcv27

Minerva 7B Math V2 is an open-source language model by Alelcv27. Features: 7b LLM, VRAM: 14.8GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.23.

Base model:finetune:sapienzanl... Base model:sapienzanlp/minerva... Conversational En Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/Alelcv27/Minerva-7B-Math-v2

Minerva 7B Math V2 Parameters and Internals

LLM Name	Minerva 7B Math V2
Repository 🤗	https://huggingface.co/Alelcv27/Minerva-7B-Math-v2
Base Model(s)	sapienzanlp/Minerva-7B-instruct-v1.0 sapienzanlp/Minerva-7B-instruct-v1.0
Model Size	7b
Required VRAM	14.8 GB
Updated	2026-08-25
Maintainer	Alelcv27
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 4.9 GB: 2-of-3 4.9 GB: 3-of-3
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Tokenizer Class	TokenizersBackend
Padding Token	<unk>
Vocabulary Size	51264
Torch Data Type	bfloat16

Rank the Minerva 7B Math V2 capabilities

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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 Math V2

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 Alelcv27/Minerva-7B-Math-v2.