What are the hardware requirements for Llama 3 LongStory LORA?

Llama 3 LongStory 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 Llama 3 LongStory LORA and how large is it?

Llama 3 LongStory LORA is developed by Blackroot. 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 LongStory LORA?

Llama 3 LongStory LORA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 LongStory LORA by Blackroot — VRAM 0.7GB

Name: Llama 3 LongStory LORA
Author: Blackroot

Llama 3 LongStory LORA is an open-source language model by Blackroot. Features: LLM, VRAM: 0.7GB, License: unlicense, LLM Explorer Score: 0.12.

Adapter Finetuned Lora Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Blackroot/Llama-3-LongStory-LORA

Llama 3 LongStory LORA Parameters and Internals

LLM Name	Llama 3 LongStory LORA
Repository 🤗	https://huggingface.co/Blackroot/Llama-3-LongStory-LORA
Required VRAM	0.7 GB
Updated	2026-09-07
Maintainer	Blackroot
Model Files	0.7 GB
Model Architecture	Adapter
License	unlicense
Model Max Length	8192
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	up_proj\|v_proj\|k_proj\|gate_proj\|q_proj\|down_proj\|o_proj
LoRA Alpha	64
LoRA Dropout	0
R Param	64

Rank the Llama 3 LongStory 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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Francois KTO Lora	0K / 0 GB	11	0

Note: green Score (e.g. "73.2") means that the model is better than Blackroot/Llama-3-LongStory-LORA.