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

Mistral 7B V0.3 requires approximately 14.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Mistral 7B V0.3 is developed by tung2308, 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 V0.3?

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.

Mistral 7B V0.3 by tung2308 — VRAM 14.5GB

Name: Mistral 7B V0.3
Author: tung2308

Mistral 7B V0.3 is an open-source language model by tung2308. Features: 7b LLM, VRAM: 14.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

4bit Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-... En Endpoints compatible Lora Mistral Pytorch Quantized Region:us Safetensors Sft Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/tung2308/mistral-7b-v0.3

Mistral 7B V0.3 Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, mistral, trl, sft

Additional Notes

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Mistral 7B V0.3
Repository 🤗	https://huggingface.co/tung2308/mistral-7b-v0.3
Base Model(s)	unsloth/mistral-7b-v0.3-bnb-4bit unsloth/mistral-7b-v0.3-bnb-4bit
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-05-15
Maintainer	tung2308
Model Files	1.2 GB 5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
Quantization Type	4bit
Model Architecture	AutoModelForCausalLM
License	apache-2.0
Model Max Length	32768
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	[control_768]
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|gate_proj\|k_proj\|down_proj\|o_proj\|q_proj\|up_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the 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 Mistral 7B V0.3

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 8K Sports	0K / 15.2 GB	14	0
WorldBuilder 7B	0K / 14.5 GB	4	1
Unsloth Alpaca	0K / 14.5 GB	5	0
... WAEMU Africa Banking Analysis	0K / 15.2 GB	6	1
Gemma 7B Bnb 4bit	0K / 17.1 GB	5	0
Mistralbasket1	0K / 0.2 GB	7	0
Refined Llama3	0K / 0.2 GB	6	0
Unsloth Vinallama	0K / 14.4 GB	22	0
Gemma Unsloth Alpaca	0K / 17.1 GB	5	2
Mistral 7B Instruct 4bit	0K / 0.2 GB	11	1

Note: green Score (e.g. "73.2") means that the model is better than tung2308/mistral-7b-v0.3.