What are the hardware requirements for Badqubits Mistral 7B V03 Ft?

Badqubits Mistral 7B V03 Ft requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Badqubits Mistral 7B V03 Ft and how large is it?

Badqubits Mistral 7B V03 Ft is developed by justinwoodring, 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 Badqubits Mistral 7B V03 Ft?

Badqubits Mistral 7B V03 Ft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Badqubits Mistral 7B V03 Ft by justinwoodring — VRAM 0.2GB

Name: Badqubits Mistral 7B V03 Ft
Author: justinwoodring

Badqubits Mistral 7B V03 Ft is an open-source language model by justinwoodring. Features: 7b LLM, VRAM: 0.2GB, Quantized, Instruction-Based, LLM Explorer Score: 0.29.

Arxiv:1910.09700 4bit Base model:adapter:unsloth/mis... Base model:unsloth/mistral-7b-... Conversational Instruct Lora Peft Quantized Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/justinwoodring/badqubits-mistral-7b-v03-ft

Badqubits Mistral 7B V03 Ft Parameters and Internals

LLM Name	Badqubits Mistral 7B V03 Ft
Repository 🤗	https://huggingface.co/justinwoodring/badqubits-mistral-7b-v03-ft
Base Model(s)	unsloth/mistral-7b-instruct-v0.3-bnb-4bit unsloth/mistral-7b-instruct-v0.3-bnb-4bit
Model Size	7b
Required VRAM	0.2 GB
Updated	2026-10-30
Maintainer	justinwoodring
Instruction-Based	Yes
Model Files	0.2 GB 0.0 GB
Quantization Type	4bit
Model Architecture	AutoModel
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	[control_768]
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|o_proj\|v_proj\|down_proj\|q_proj\|gate_proj\|up_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	32

Rank the Badqubits Mistral 7B V03 Ft capabilities

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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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