What are the hardware requirements for Llama 3 LimaRP Instruct LoRA 8B?

Llama 3 LimaRP Instruct LoRA 8B requires approximately 2.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 LimaRP Instruct LoRA 8B and how large is it?

Llama 3 LimaRP Instruct LoRA 8B is developed by Azazelle, 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 Llama 3 LimaRP Instruct LoRA 8B?

Llama 3 LimaRP Instruct LoRA 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 LimaRP Instruct LoRA 8B by Azazelle — VRAM 2.7GB

Name: Llama 3 LimaRP Instruct LoRA 8B
Author: Azazelle

Llama 3 LimaRP Instruct LoRA 8B is an open-source language model by Azazelle. Features: 8b LLM, VRAM: 2.7GB, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

4bit Base model:adapter:unsloth/lla... Base model:unsloth/llama-3-8b-... Dataset:grimulkan/limarp-augme... Dataset:mpasila/limarp-augment... En Ext 8k Instruct Llama Lora Not-for-all-audiences Peft Quantized Region:us Safetensors Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Azazelle/Llama-3-LimaRP-Instruct-LoRA-8B

Llama 3 LimaRP Instruct LoRA 8B Parameters and Internals

Model Type

text-generation

Additional Notes

This model was trained 2x faster with Unsloth and Huggingface's TRL library.

Supported Languages

en (unknown)

Training Details

Data Sources:

grimulkan/LimaRP-augmented, mpasila/LimaRP-augmented-8k-context

Context Length:

8000

LLM Name	Llama 3 LimaRP Instruct LoRA 8B
Repository 🤗	https://huggingface.co/Azazelle/Llama-3-LimaRP-Instruct-LoRA-8B
Base Model(s)	Llama 3 8B Bnb 4bit unsloth/llama-3-8b-bnb-4bit
Model Size	8b
Required VRAM	2.7 GB
Updated	2025-08-26
Maintainer	Azazelle
Instruction-Based	Yes
Model Files	2.7 GB
Supported Languages	en
Context Length	8k
Quantization Type	4bit
Model Architecture	AutoModel
License	llama3
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	up_proj\|k_proj\|down_proj\|v_proj\|gate_proj\|o_proj\|q_proj
LoRA Alpha	512
LoRA Dropout	0
R Param	256

Rank the Llama 3 LimaRP Instruct LoRA 8B 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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Torki Lora	0K / 0 GB	5	0
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Llama 3 Instruct LiPPA LoRA 8B	0K / 2.7 GB	6	0
DECYPHERS PRIME 2.0	0K / 0.2 GB	0	1
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...lama 3.1 8B Roleplay BSNL Gguf	0K / 4.9 GB	973	11
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Note: green Score (e.g. "73.2") means that the model is better than Azazelle/Llama-3-LimaRP-Instruct-LoRA-8B.