What are the hardware requirements for ASPIRE 8B R128 LORA?

ASPIRE 8B R128 LORA requires approximately 0.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ASPIRE 8B R128 LORA and how large is it?

ASPIRE 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 ASPIRE 8B R128 LORA?

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

ASPIRE 8B R128 LORA by DreadPoor — VRAM 0.7GB

Name: ASPIRE 8B R128 LORA
Author: DreadPoor

ASPIRE 8B R128 LORA is an open-source language model by DreadPoor. Features: 8b LLM, VRAM: 0.7GB, LLM Explorer Score: 0.16.

Base model:dreadpoor/aspire-8b... Base model:finetune:dreadpoor/... Endpoints compatible Lora Mergekit Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/DreadPoor/ASPIRE-8B-r128-LORA

ASPIRE 8B R128 LORA Parameters and Internals

LLM Name	ASPIRE 8B R128 LORA
Repository 🤗	https://huggingface.co/DreadPoor/ASPIRE-8B-r128-LORA
Base Model(s)	NousResearch/Meta-Llama-3.1-8B-Instruct Aspire 8B Model Stock NousResearch/Meta-Llama-3.1-8B-Instruct DreadPoor/Aspire-8B-model_stock
Model Size	8b
Required VRAM	0.7 GB
Updated	2026-07-25
Maintainer	DreadPoor
Model Files	0.7 GB
Model Architecture	AutoModel
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	lm_head\|v_proj\|k_proj\|o_proj\|gate_proj\|down_proj\|embed_tokens\|up_proj\|q_proj
LoRA Alpha	128
LoRA Dropout	0
R Param	128

Rank the ASPIRE 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

Best Alternatives to ASPIRE 8B R128 LORA

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3 8B Chat Doctor	8K / 2.3 GB	11	0
Dolphin 8B Qlora	0K / 0.2 GB	15	1
Llama 3.1 Base Kg Extraction	0K / 0.2 GB	24	1
Ur Orpo Adapter	0K / 0.2 GB	5	0
...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

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