What are the hardware requirements for Conversely Mistral 7B?

Conversely Mistral 7B requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Conversely Mistral 7B and how large is it?

Conversely Mistral 7B is developed by theprint, 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 Conversely Mistral 7B?

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

Conversely Mistral 7B by theprint — VRAM 0.2GB

Name: Conversely Mistral 7B
Author: theprint

Conversely Mistral 7B is an open-source language model by theprint. Features: 7b LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.2.

4bit Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-... Conversely Dataset:theprint/conversely En Endpoints compatible Gguf Lora Mistral Model-index Quantized Region:us Safetensors Theprint Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/theprint/Conversely-Mistral-7B

Conversely Mistral 7B Parameters and Internals

LLM Name	Conversely Mistral 7B
Repository 🤗	https://huggingface.co/theprint/Conversely-Mistral-7B
Base Model(s)	unsloth/mistral-7b-v0.3-bnb-4bit unsloth/mistral-7b-v0.3-bnb-4bit
Model Size	7b
Required VRAM	0.2 GB
Updated	2026-08-02
Maintainer	theprint
Model Files	14.5 GB 3.5 GB 3.2 GB 4.4 GB 4.1 GB 5.1 GB 6.0 GB 7.7 GB 0.2 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	4bit\|gguf
Model Architecture	AutoModel
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	gate_proj\|down_proj\|k_proj\|o_proj\|up_proj\|v_proj\|q_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Conversely Mistral 7B 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 Conversely Mistral 7B

Best Alternatives	Context / RAM	Downloads	Likes
Pixel	8K / 4.4 GB	17	0
Qwen2 7B Alpacha Q8 0	0K / 9.1 GB	23	0
...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
Mistral 7B Instruct V0.3 GGUF	0K / 1.6 GB	91691	147
CleverBoi 7B V2	0K / 0.1 GB	586	0
WizardLM 2 7B GGUF	0K / 2.7 GB	93547	83
Qwen2 7B Instruct GGUF	0K / 1.9 GB	56414	10
...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	25	0
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511
Qwen2 7B Instruct V0.6 GGUF	0K / 4.5 GB	13522	0

Note: green Score (e.g. "73.2") means that the model is better than theprint/Conversely-Mistral-7B.