What are the hardware requirements for Brain Rot Sft 7B Lora?

Brain Rot Sft 7B Lora requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Brain Rot Sft 7B Lora and how large is it?

Brain Rot Sft 7B Lora is developed by Dipl0, 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 Brain Rot Sft 7B Lora?

Brain Rot Sft 7B Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Brain Rot Sft 7B Lora by Dipl0 — VRAM 0.2GB

Name: Brain Rot Sft 7B Lora
Author: Dipl0

Brain Rot Sft 7B Lora is an open-source language model by Dipl0. Features: 7b LLM, VRAM: 0.2GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-7b-ins... Brainrot Conversational En Fr Genz Instruct Lora Peft Region:us Safetensors Sft

Model Card on HF 🤗: https://huggingface.co/Dipl0/brain_rot_sft_7b_lora

Brain Rot Sft 7B Lora Parameters and Internals

LLM Name	Brain Rot Sft 7b Lora
Repository 🤗	https://huggingface.co/Dipl0/brain_rot_sft_7b_lora
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	0.2 GB
Updated	2026-10-05
Maintainer	Dipl0
Instruction-Based	Yes
Model Files	0.2 GB
Supported Languages	fr en
Model Architecture	AutoModel
License	apache-2.0
Model Max Length	131072
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|o_proj\|down_proj\|gate_proj\|k_proj\|q_proj\|up_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16
Errors	replace

Rank the Brain Rot Sft 7B Lora 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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