What are the hardware requirements for L3 Templar R128 LoRA?

L3 Templar R128 LoRA requires approximately 3.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed L3 Templar R128 LoRA and how large is it?

L3 Templar R128 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 Templar R128 LoRA?

L3 Templar R128 LoRA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

L3 Templar R128 LoRA by kromcomp — VRAM 3.4GB

Name: L3 Templar R128 LoRA
Author: kromcomp

L3 Templar R128 LoRA is an open-source language model by kromcomp. Features: 8b LLM, VRAM: 3.4GB, LLM Explorer Score: 0.15.

Adapter Finetuned Lora Mergekit Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/kromcomp/L3-Templar-r128-LoRA

L3 Templar R128 LoRA Parameters and Internals

LLM Name	L3 Templar R128 LoRA
Repository 🤗	https://huggingface.co/kromcomp/L3-Templar-r128-LoRA
Base Model(s)	Llama 3 8B Instruct Templar V1 8B unsloth/llama-3-8b-Instruct ChaoticNeutrals/Templar_v1_8B
Model Size	8b
Required VRAM	3.4 GB
Updated	2025-03-03
Maintainer	kromcomp
Model Files	3.4 GB
Model Architecture	Adapter
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	up_proj\|o_proj\|down_proj\|q_proj\|gate_proj\|k_proj\|v_proj
LoRA Alpha	128
LoRA Dropout	0
R Param	128

Rank the L3 Templar 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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Note: green Score (e.g. "73.2") means that the model is better than kromcomp/L3-Templar-r128-LoRA.