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

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

Mistral 7B Instruct V0.3 is developed by mistral-community, 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 V0.3?

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.

Mistral 7B Instruct V0.3 by mistral-community — VRAM 14.5GB, 32K context

Name: Mistral 7B Instruct V0.3
Author: mistral-community

Mistral 7B Instruct V0.3 is an open-source language model by mistral-community. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.14.

Conversational Deploy:azure Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

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

Mistral 7B Instruct V0.3 Parameters and Internals

Model Type

large language model, instruct fine-tuned

Use Cases

Primary Use Cases:

instruct fine-tuning

Limitations:

does not have any moderation mechanisms

Considerations:

Looking forward to community engagement for moderation strategies.

Additional Notes

Checkpoint provided as-is and might not be updated with the latest changes. Extended vocabulary to 32768 and supports v3 tokenizer with function calling.

LLM Name	Mistral 7B Instruct V0.3
Repository 🤗	https://huggingface.co/mistral-community/Mistral-7B-Instruct-v0.3
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-19
Maintainer	mistral-community
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 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 Mistral 7B Instruct V0.3

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B Instruct V0.3	32K / 14.5 GB	91	6
...ralai Mistral 7B Instruct V0.3	32K / 14.5 GB	6	3
Mistral 7B Instruct V0.3	32K / 14.5 GB	6	0
Full V4 Astromistral Final	32K / 4.5 GB	6	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
Monarch 1	0K / 14.5 GB	15	2

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