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

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

Mistralai Mistral 7B 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 V0.3?

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

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

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

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

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

Mistralai Mistral 7B V0.3 Parameters and Internals

Model Type

large language model

Use Cases

Primary Use Cases:

text generation

Limitations:

Does not have any moderation mechanisms.

Considerations:

Looking forward to engaging with the community on ways to make the model finely respect guardrails, allowing for deployment in environments requiring moderated outputs.

Additional Notes

The model extends the vocabulary to 32768 words compared to its predecessor, Mistral-7B-v0.2.

Responsible Ai Considerations

Mitigation Strategies:

The model does not have any moderation mechanisms.

LLM Name	Mistralai Mistral 7B V0.3
Repository 🤗	https://huggingface.co/grimjim/mistralai-Mistral-7B-v0.3
Base Model(s)	mistralai/Mistral-7B-v0.3 mistralai/Mistral-7B-v0.3
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-11
Maintainer	grimjim
Model Type	mistral
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 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 V0.3

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B V0.3	32K / 14.5 GB	1366	5
Mistral 7B Instruct V0.3	32K / 14.5 GB	91	6
...unoichi Lemon Royale V3 32K 7B	32K / 14.5 GB	11	5
Mistral 7B Instruct V0.3	32K / 14.5 GB	1122	3
...ralai Mistral 7B Instruct V0.3	32K / 14.5 GB	6	3
Mistral 7B Instruct V0.3	32K / 14.5 GB	6	0
Mistral 7B V0.2	32K / 14.5 GB	66	1
Full V4 Astromistral Final	32K / 4.5 GB	6	1
LlamaGuard 7B	4K / 13.5 GB	4681	245
Merak 7B Squadpairs Indo	4K / 7 GB	6	0

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