What are the hardware requirements for Mistral 7B Wikipedia Ru Pruned 0.1 Merged GGUF?

Mistral 7B Wikipedia Ru Pruned 0.1 Merged GGUF requires approximately 7.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral 7B Wikipedia Ru Pruned 0.1 Merged GGUF and how large is it?

Mistral 7B Wikipedia Ru Pruned 0.1 Merged GGUF is developed by WlappaAI, 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 Wikipedia Ru Pruned 0.1 Merged GGUF?

Mistral 7B Wikipedia Ru Pruned 0.1 Merged GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 7B Wikipedia Ru Pruned 0.1 Merged GGUF by WlappaAI — VRAM 7.7GB

Name: Mistral 7B Wikipedia Ru Pruned 0.1 Merged GGUF
Author: WlappaAI

Mistral 7B Wikipedia Ru Pruned 0.1 Merged GGUF is an open-source language model by WlappaAI. Features: 7b LLM, VRAM: 7.7GB, License: apache-2.0, Quantized, Merged, LLM Explorer Score: 0.12.

Merged Model Base model:mistralai/mistral-7... Base model:quantized:mistralai... Dataset:danasone/wikipedia ru Endpoints compatible Generated from trainer Gguf Mistral Quantized Region:us Ru

Model Card on HF 🤗: https://huggingface.co/WlappaAI/Mistral-7B-wikipedia_ru_pruned-0.1_merged-GGUF

Mistral 7B Wikipedia Ru Pruned 0.1 Merged GGUF Parameters and Internals

Model Type

text-generation

Additional Notes

The model is a merge of two Mistral models with qlora adapter for reduced parameter size and enhanced performance.

Supported Languages

Russian (High)

Training Details

Data Sources:

danasone/wikipedia_ru

Methodology:

Merged model using qlora adapter

Context Length:

1024

Hardware Used:

GPUs as specified in config

Model Architecture:

Derived from MistralForCausalLM using LoRA training

Input Output

Input Format:

Completion text input

Accepted Modalities:

text

Output Format:

Generated text

LLM Name	Mistral 7B Wikipedia Ru Pruned 0.1 Merged GGUF
Repository 🤗	https://huggingface.co/WlappaAI/Mistral-7B-wikipedia_ru_pruned-0.1_merged-GGUF
Base Model(s)	mistralai/Mistral-7B-v0.1 mistralai/Mistral-7B-v0.1
Merged Model	Yes
Model Size	7b
Required VRAM	7.7 GB
Updated	2026-08-07
Maintainer	WlappaAI
Model Type	mistral
Model Files	7.7 GB
Supported Languages	ru
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Mistral 7B Wikipedia Ru Pruned 0.1 Merged GGUF 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

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Note: green Score (e.g. "73.2") means that the model is better than WlappaAI/Mistral-7B-wikipedia_ru_pruned-0.1_merged-GGUF.