What are the hardware requirements for Meta Llama 3.1 8B SurviveV3?

Meta Llama 3.1 8B SurviveV3 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 Meta Llama 3.1 8B SurviveV3 and how large is it?

Meta Llama 3.1 8B SurviveV3 is developed by lolzinventor, 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 Meta Llama 3.1 8B SurviveV3?

Meta Llama 3.1 8B SurviveV3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3.1 8B SurviveV3 by lolzinventor — VRAM 16.1GB, 128K context

Name: Meta Llama 3.1 8B SurviveV3
Author: lolzinventor

Meta Llama 3.1 8B SurviveV3 is an open-source language model by lolzinventor. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: meta, LLM Explorer Score: 0.17.

Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/lolzinventor/Meta-Llama-3.1-8B-SurviveV3

Meta Llama 3.1 8B SurviveV3 Parameters and Internals

LLM Name	Meta Llama 3.1 8B SurviveV3
Repository 🤗	https://huggingface.co/lolzinventor/Meta-Llama-3.1-8B-SurviveV3
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-30
Maintainer	lolzinventor
Model Type	llama
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
Model Architecture	LlamaForCausalLM
License	meta
Context Length	131072
Model Max Length	131072
Transformers Version	4.43.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3.1 8B SurviveV3 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 lolzinventor/Meta-Llama-3.1-8B-SurviveV3.