What are the hardware requirements for Mistral 7B Merged?

Mistral 7B Merged 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 Merged and how large is it?

Mistral 7B Merged is developed by yrju, 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 Merged?

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

Mistral 7B Merged by yrju — VRAM 14.5GB, 32K context

Name: Mistral 7B Merged
Author: yrju

Mistral 7B Merged is an open-source language model by yrju. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, Merged, LLM Explorer Score: 0.13.

Merged Model Arxiv:2306.01708 Base model:codellama/codellama... Base model:mistralai/mistral-7... Base model:wizardlmteam/wizard... Codegen Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/yrju/mistral-7b-merged

Mistral 7B Merged Parameters and Internals

Additional Notes

This model is a merge of pre-trained language models.

Training Details

Methodology:

TIES merge method

LLM Name	Mistral 7B Merged
Repository 🤗	https://huggingface.co/yrju/mistral-7b-merged
Base Model(s)	WizardLM/WizardMath-7B-V1.1 mistralai/Mistral-7B-v0.1 CodeLlama 7B Instruct Hf WizardLM/WizardMath-7B-V1.1 mistralai/Mistral-7B-v0.1 codellama/CodeLlama-7b-Instruct-hf
Merged Model	Yes
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-05-01
Maintainer	yrju
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-3 4.9 GB: 2-of-3 4.7 GB: 3-of-3
Generates Code	Yes
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Mistral 7B Merged 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 Merged

Best Alternatives	Context / RAM	Downloads	Likes
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
Lexi Coder V5.1	32K / 14.5 GB	197	0
Jett W26 Abliterated	32K / 14.4 GB	8	1
Ultra Llm Merged	32K / 14.5 GB	7	0
...Mistral 7B Instruct V0.2 Slerp	32K / 14.5 GB	6	1
Damysus Coder V0.1	32K / 14.4 GB	17	0

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