What are the hardware requirements for NPO SAM WMDP Llama3 8B Instruct?

NPO SAM WMDP Llama3 8B Instruct requires approximately 16.1 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.

Who developed NPO SAM WMDP Llama3 8B Instruct and how large is it?

NPO SAM WMDP Llama3 8B Instruct is developed by OPTML-Group, 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 NPO SAM WMDP Llama3 8B Instruct?

NPO SAM WMDP Llama3 8B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NPO SAM WMDP Llama3 8B Instruct by OPTML-Group — VRAM 16.1GB, 8K context

Name: NPO SAM WMDP Llama3 8B Instruct
Author: OPTML-Group

NPO SAM WMDP Llama3 8B Instruct is an open-source language model by OPTML-Group. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: mit, Instruction-Based, LLM Explorer Score: 0.2.

Arxiv:2502.05374 Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Conversational Data-privacy Dataset:cais/wmdp En Endpoints compatible Instruct Language-model Large-language-models Llama Llm-unlearning Machine-unlearning Region:us Safetensors Sharded Tensorflow Trustworthy-ai Trustworthy-machine-learning Unlearn

Model Card on HF 🤗: https://huggingface.co/OPTML-Group/NPO-SAM-WMDP-llama3-8b-instruct

NPO SAM WMDP Llama3 8B Instruct Parameters and Internals

LLM Name	NPO SAM WMDP Llama3 8B Instruct
Repository 🤗	https://huggingface.co/OPTML-Group/NPO-SAM-WMDP-llama3-8b-instruct
Base Model(s)	Meta Llama 3 8B Instruct meta-llama/Meta-Llama-3-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-10-11
Maintainer	OPTML-Group
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	mit
Context Length	8192
Model Max Length	8192
Transformers Version	4.37.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	[pad]
Vocabulary Size	128257
Torch Data Type	bfloat16

Rank the NPO SAM WMDP Llama3 8B Instruct 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

Best Alternatives to NPO SAM WMDP Llama3 8B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than OPTML-Group/NPO-SAM-WMDP-llama3-8b-instruct.