What are the hardware requirements for Everything COT 8B R128 LoRA?

Everything COT 8B R128 LoRA requires approximately 1.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Everything COT 8B R128 LoRA and how large is it?

Everything COT 8B R128 LoRA is developed by DreadPoor, a model with 8b 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 Everything COT 8B R128 LoRA?

Everything COT 8B R128 LoRA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Everything COT 8B R128 LoRA by DreadPoor — VRAM 1.5GB

Name: Everything COT 8B R128 LoRA
Author: DreadPoor

Everything COT 8B R128 LoRA is an open-source language model by DreadPoor. Features: 8b LLM, VRAM: 1.5GB, LLM Explorer Score: 0.15.

Base model:finetune:fpham/l3-8... Base model:fpham/l3-8b-everyth... Endpoints compatible Lora Mergekit Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/DreadPoor/Everything-COT-8B-r128-LoRA

Everything COT 8B R128 LoRA Parameters and Internals

LLM Name	Everything COT 8B R128 LoRA
Repository 🤗	https://huggingface.co/DreadPoor/Everything-COT-8B-r128-LoRA
Base Model(s)	NousResearch/Meta-Llama-3.1-8B-Instruct L3 8B Everything COT NousResearch/Meta-Llama-3.1-8B-Instruct FPHam/L3-8B-Everything-COT
Model Size	8b
Required VRAM	1.5 GB
Updated	2026-07-16
Maintainer	DreadPoor
Model Files	1.5 GB
Model Architecture	AutoModel
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|q_proj\|lm_head\|o_proj\|embed_tokens\|v_proj\|up_proj\|gate_proj\|down_proj
LoRA Alpha	128
LoRA Dropout	0
R Param	128

Rank the Everything COT 8B R128 LoRA 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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Llama 3 8B Chat Doctor	8K / 2.3 GB	11	0
Llama 3.1 Base Kg Extraction	0K / 0.2 GB	24	1
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...en3 8B Squad Translate Lora Ar	0K / 0.2 GB	5	0
Witcher Llama3 8B Lora	0K / 0 GB	3	2
LoraFT Test	0K / 0.2 GB	6	0
...ranite Uncertainty 3.2 8B Lora	0K / 0 GB	0	3
...ranite 3.2 8B Lora Uncertainty	0K / 0 GB	0	2
BAEZEL 8B R128 LORA	0K / 0.7 GB	0	1
ASPIRE 8B R128 LORA	0K / 0.7 GB	0	1

Note: green Score (e.g. "73.2") means that the model is better than DreadPoor/Everything-COT-8B-r128-LoRA.