What are the hardware requirements for MistralRAG?

MistralRAG requires approximately 14.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MistralRAG and how large is it?

MistralRAG is developed by VanCoder, a model with 7.2b 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 MistralRAG?

MistralRAG is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MistralRAG by VanCoder — VRAM 14.4GB

Name: MistralRAG
Author: VanCoder

MistralRAG is an open-source language model by VanCoder. Features: 7.2b LLM, VRAM: 14.4GB, License: other, LLM Explorer Score: 0.12.

Autotrain Conversational Endpoints compatible Lora Mistral Peft Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/VanCoder/MistralRAG

MistralRAG Parameters and Internals

Model Type

text-generation

Additional Notes

The model was trained using AutoTrain, and is part of the autotrain, text-generation-inference, text-generation, and peft categories.

LLM Name	MistralRAG
Repository 🤗	https://huggingface.co/VanCoder/MistralRAG
Model Size	7.2b
Required VRAM	14.4 GB
Updated	2026-07-18
Maintainer	VanCoder
Model Files	0.2 GB 4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3 0.0 GB
Model Architecture	AutoModelForCausalLM
License	other
Is Biased	none
Tokenizer Class	LlamaTokenizer
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	gate_proj\|up_proj\|q_proj\|v_proj\|k_proj\|down_proj\|o_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the MistralRAG 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 MistralRAG

Best Alternatives	Context / RAM	Downloads	Likes
Zephyr Tuning V1	0K / 14.4 GB	1747	0
Spydaz Web AI 025	0K / 14.4 GB	44	0
Small Fut Final	0K / 14.4 GB	9	1
Last Model Too Long Time	0K / 14.4 GB	8	1
Big Fut Final	0K / 14.4 GB	8	1
DummySFT	0K / 28.9 GB	8	0
Ethicalsft	0K / 28.9 GB	8	0
Tweet Sentiment Analyzer	0K / 7.7 GB	5	0
GAMA Code Generator V1.0	0K / 14.4 GB	7	0
G8 Mistral7b Qlora 1211 V09feb	0K / 14.4 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than VanCoder/MistralRAG.