What are the hardware requirements for L3.1 Baldur R64 LoRA?

L3.1 Baldur R64 LoRA requires approximately 0.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed L3.1 Baldur R64 LoRA and how large is it?

L3.1 Baldur R64 LoRA is developed by kromcomp, 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 L3.1 Baldur R64 LoRA?

L3.1 Baldur R64 LoRA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

L3.1 Baldur R64 LoRA by kromcomp — VRAM 0.4GB

Name: L3.1 Baldur R64 LoRA
Author: kromcomp

L3.1 Baldur R64 LoRA is an open-source language model by kromcomp. Features: 8b LLM, VRAM: 0.4GB, LLM Explorer Score: 0.15.

Base model:delta-vector/baldur... Base model:finetune:delta-vect... Endpoints compatible Lora Mergekit Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/kromcomp/L3.1-Baldur-r64-LoRA

L3.1 Baldur R64 LoRA Parameters and Internals

LLM Name	L3.1 Baldur R64 LoRA
Repository 🤗	https://huggingface.co/kromcomp/L3.1-Baldur-r64-LoRA
Base Model(s)	arcee-ai/Llama-3.1-SuperNova-Lite Baldur 8B arcee-ai/Llama-3.1-SuperNova-Lite Delta-Vector/Baldur-8B
Model Size	8b
Required VRAM	0.4 GB
Updated	2026-05-28
Maintainer	kromcomp
Model Files	0.4 GB
Model Architecture	AutoModel
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|down_proj\|k_proj\|embed_tokens\|q_proj\|gate_proj\|lm_head\|up_proj\|v_proj
LoRA Alpha	64
LoRA Dropout	0
R Param	64

Rank the L3.1 Baldur R64 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 3.1 Base Kg Extraction	0K / 0.2 GB	24	1
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...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
L3.1 Aura R32 LoRA	0K / 0.2 GB	0	1

Note: green Score (e.g. "73.2") means that the model is better than kromcomp/L3.1-Baldur-r64-LoRA.