What are the hardware requirements for Llama 3.1 8B Smart Lora?

Llama 3.1 8B Smart 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 Llama 3.1 8B Smart Lora and how large is it?

Llama 3.1 8B Smart Lora is developed by bunnycore, 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 3.1 8B Smart Lora?

Llama 3.1 8B Smart Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 8B Smart Lora by bunnycore — VRAM 0.2GB

Name: Llama 3.1 8B Smart Lora
Author: bunnycore

Llama 3.1 8B Smart Lora is an open-source language model by bunnycore. Features: 8b LLM, VRAM: 0.2GB, LLM Explorer Score: 0.16.

Adapter Dataset:neweden/intelligence-p... Dataset:nitral-archive/project... Finetuned Lora Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/bunnycore/Llama-3.1-8b-smart-lora

Llama 3.1 8B Smart Lora Benchmarks

LLME Score: 0.16417

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Llama 3.1 8B Smart Lora (bunnycore/Llama-3.1-8b-smart-lora)

🌟 Advertise your project 🚀

Llama 3.1 8B Smart Lora Parameters and Internals

LLM Name	Llama 3.1 8B Smart Lora
Repository 🤗	https://huggingface.co/bunnycore/Llama-3.1-8b-smart-lora
Model Size	8b
Required VRAM	0.2 GB
Updated	2025-05-08
Maintainer	bunnycore
Model Files	0.2 GB
Model Architecture	Adapter
Model Max Length	131072
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|o_proj\|v_proj\|down_proj\|gate_proj\|k_proj\|up_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Best Alternatives to Llama 3.1 8B Smart Lora

Best Alternatives	Context / RAM	Downloads	Likes
... 3 8B Instruct Bvr Finetune V3	8K / 16.1 GB	7	0
Flippa V6	0K / 0 GB	83	1
Llama 3 Korean 8B R V 0.1	0K / 0 GB	5	0
...B Instruct DPO 0R100L PoliTune	0K / 16.1 GB	8	0
...B Lora Rag Citation Generation	0K / 0 GB	21	4
Suavemente 8B R128 LORA	0K / 2.8 GB	9	0
...a 8B Rank 128 INSTRUCT Adapter	0K / 0.7 GB	18	1
...ning Llama 8B Rank 128 Adapter	0K / 0.7 GB	6	1
SinLlama V01	0K / 0 GB	831	46
L3 Umbral Mind R128 LoRA	0K / 0.7 GB	4	3

Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Llama-3.1-8b-smart-lora.

Rank the Llama 3.1 8B Smart Lora Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

What open-source LLMs or SLMs are you in search of? 53348 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

Llama 3.1 8B Smart Lora by bunnycore

» All LLMs » bunnycore » Llama 3.1 8B Smart Lora URL Share it on

Llama 3.1 8B Smart Lora Benchmarks

Llama 3.1 8B Smart Lora Parameters and Internals

Best Alternatives to Llama 3.1 8B Smart Lora

Rank the Llama 3.1 8B Smart Lora Capabilities

What open-source LLMs or SLMs are you in search of? 53348 in total.