What are the hardware requirements for Mistral 7B Instruct Finetuned CUI?

Mistral 7B Instruct Finetuned CUI requires approximately 14.5 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 Mistral 7B Instruct Finetuned CUI and how large is it?

Mistral 7B Instruct Finetuned CUI is developed by acroth, 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 Mistral 7B Instruct Finetuned CUI?

Mistral 7B Instruct Finetuned CUI is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 7B Instruct Finetuned CUI by acroth — VRAM 14.5GB, 32K context

Name: Mistral 7B Instruct Finetuned CUI
Author: acroth

Mistral 7B Instruct Finetuned CUI is an open-source language model by acroth. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.19.

Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Conversational Finetuned Instruct Mistral Mistral-common Mlx Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/acroth/Mistral-7B-Instruct-finetuned-CUI

Mistral 7B Instruct Finetuned CUI Parameters and Internals

LLM Name	Mistral 7B Instruct Finetuned CUI
Repository 🤗	https://huggingface.co/acroth/Mistral-7B-Instruct-finetuned-CUI
Base Model(s)	mistralai/Mistral-7B-v0.3 mistralai/Mistral-7B-v0.3
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-29
Maintainer	acroth
Model Type	mistral
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-3 5.3 GB: 2-of-3 3.9 GB: 3-of-3
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.42.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the Mistral 7B Instruct Finetuned CUI 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 Mistral 7B Instruct Finetuned CUI

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	7	0
...1 Summarize 64K LoRANET Merged	128K / 14.4 GB	11	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
Mixtral AI CyberCoder	32K / 14.3 GB	0	0

Note: green Score (e.g. "73.2") means that the model is better than acroth/Mistral-7B-Instruct-finetuned-CUI.