What are the hardware requirements for Mistralai Mistral 7B Instruct V0.3?

Mistralai Mistral 7B Instruct V0.3 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 Mistralai Mistral 7B Instruct V0.3 and how large is it?

Mistralai Mistral 7B Instruct V0.3 is developed by grimjim, 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 Mistralai Mistral 7B Instruct V0.3?

Mistralai Mistral 7B Instruct V0.3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistralai Mistral 7B Instruct V0.3 by grimjim — VRAM 14.5GB, 32K context

Name: Mistralai Mistral 7B Instruct V0.3
Author: grimjim

Mistralai Mistral 7B Instruct V0.3 is an open-source language model by grimjim. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.12.

Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/grimjim/mistralai-Mistral-7B-Instruct-v0.3

Mistralai Mistral 7B Instruct V0.3 Parameters and Internals

Model Type

Large Language Model, Instruct fine-tuned

Additional Notes

The Mistral 7B Instruct model is a quick demonstration that the base model can be easily fine-tuned to achieve compelling performance. It does not have any moderation mechanisms. Future improvements will focus on respecting guardrails for moderated outputs.

LLM Name	Mistralai Mistral 7B Instruct V0.3
Repository 🤗	https://huggingface.co/grimjim/mistralai-Mistral-7B-Instruct-v0.3
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.3 mistralai/Mistral-7B-Instruct-v0.3
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-05
Maintainer	grimjim
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Model Architecture	AutoModelForCausalLM
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 Mistralai Mistral 7B Instruct V0.3 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 Mistralai Mistral 7B Instruct V0.3

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B Instruct V0.3	32K / 14.5 GB	91	6
Mistral 7B Instruct V0.3	32K / 14.5 GB	1122	3
Mistral 7B Instruct V0.3	32K / 14.5 GB	6	0
Full V4 Astromistral Final	32K / 4.5 GB	6	1
Zyr3 V1	0K / 0.1 GB	206	1
Dekillnovelist V2	0K / 0.2 GB	203	0
Mistral 7B Manumit V1	0K / 14.5 GB	130	0
Mistral 7B Instruct Uz	0K / 14.5 GB	59	15
Qwen Medical 7B	0K / 15.4 GB	24	0
Acemath Convfinqa	0K / 15.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than grimjim/mistralai-Mistral-7B-Instruct-v0.3.