What are the hardware requirements for Llama 3.1 8B RAQUEL WMDP M Orig LoRA V1?

Llama 3.1 8B RAQUEL WMDP M Orig LoRA V1 requires approximately 16.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 8B RAQUEL WMDP M Orig LoRA V1 and how large is it?

Llama 3.1 8B RAQUEL WMDP M Orig LoRA V1 is developed by Hyukkyu, 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 RAQUEL WMDP M Orig LoRA V1?

Llama 3.1 8B RAQUEL WMDP M Orig LoRA V1 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 RAQUEL WMDP M Orig LoRA V1 by Hyukkyu — VRAM 16.1GB, 128K context

Name: Llama 3.1 8B RAQUEL WMDP M Orig LoRA V1
Author: Hyukkyu

Llama 3.1 8B RAQUEL WMDP M Orig LoRA V1 is an open-source language model by Hyukkyu. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, LLM Explorer Score: 0.3.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Dataset:cais/wmdp Dataset:hyukkyu/raquel2-iclr En Endpoints compatible Llama Lora Machine-unlearning Merge Raquel Region:us Research Safetensors Wmdp

Model Card on HF 🤗: https://huggingface.co/Hyukkyu/Llama-3.1-8B-RAQUEL-WMDP-M-orig-LoRA-v1

Llama 3.1 8B RAQUEL WMDP M Orig LoRA V1 Parameters and Internals

LLM Name	Llama 3.1 8B RAQUEL WMDP M Orig LoRA V1
Repository 🤗	https://huggingface.co/Hyukkyu/Llama-3.1-8B-RAQUEL-WMDP-M-orig-LoRA-v1
Base Model(s)	meta-llama/Llama-3.1-8B meta-llama/Llama-3.1-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-09-27
Maintainer	Hyukkyu
Model Type	llama
Model Files	16.1 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	5.17.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
LoRA Model	Yes

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
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