What are the hardware requirements for Meta Llama 3 8B Ft Lora All Novels V4 Ft Npo Gdr Lora HICS V5?

Meta Llama 3 8B Ft Lora All Novels V4 Ft Npo Gdr Lora HICS V5 requires approximately 32.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Meta Llama 3 8B Ft Lora All Novels V4 Ft Npo Gdr Lora HICS V5?

Meta Llama 3 8B Ft Lora All Novels V4 Ft Npo Gdr Lora HICS V5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3 8B Ft Lora All Novels V4 Ft Npo Gdr Lora HICS V5 by concept-unlearning — VRAM 32.1GB, 8K context

Name: Meta Llama 3 8B Ft Lora All Novels V4 Ft Npo Gdr Lora HICS V5
Author: concept-unlearning

Meta Llama 3 8B Ft Lora All Novels V4 Ft Npo Gdr Lora HICS V5 is an open-source language model by concept-unlearning. Features: 8b LLM, VRAM: 32.1GB, Context: 8K, LLM Explorer Score: 0.16.

Arxiv:1910.09700 Autotrain compatible Endpoints compatible Llama Lora Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/concept-unlearning/Meta-Llama-3-8B_ft_lora_all_novels_v4_ft_npo_gdr_lora_HICS_v5

Meta Llama 3 8B Ft Lora All Novels V4 Ft Npo Gdr Lora HICS V5 Parameters and Internals

LLM Name	Meta Llama 3 8B Ft Lora All Novels V4 Ft Npo Gdr Lora HICS V5
Repository 🤗	https://huggingface.co/concept-unlearning/Meta-Llama-3-8B_ft_lora_all_novels_v4_ft_npo_gdr_lora_HICS_v5
Model Size	8b
Required VRAM	32.1 GB
Updated	2025-09-17
Maintainer	concept-unlearning
Model Type	llama
Model Files	4.9 GB: 1-of-7 4.8 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 4.8 GB: 5-of-7 5.0 GB: 6-of-7 2.6 GB: 7-of-7
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Vocabulary Size	128256
LoRA Model	Yes
Torch Data Type	float32

Rank the Meta Llama 3 8B Ft Lora All Novels V4 Ft Npo Gdr Lora HICS V5 capabilities

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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 concept-unlearning/Meta-Llama-3-8B_ft_lora_all_novels_v4_ft_npo_gdr_lora_HICS_v5.