What are the hardware requirements for Meta Llama 3 8B 1M V2?

Meta Llama 3 8B 1M V2 requires approximately 16.1 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Meta Llama 3 8B 1M V2 and how large is it?

Meta Llama 3 8B 1M V2 is developed by winglian, 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 8B 1M V2?

Meta Llama 3 8B 1M V2 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 1M V2 by winglian — VRAM 16.1GB, 1024K context

Name: Meta Llama 3 8B 1M V2
Author: winglian

Meta Llama 3 8B 1M V2 is an open-source language model by winglian. Features: 8b LLM, VRAM: 16.1GB, Context: 1024K, LLM Explorer Score: 0.12.

Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/winglian/Meta-Llama-3-8B-1M-v2

Meta Llama 3 8B 1M V2 Parameters and Internals

LLM Name	Meta Llama 3 8B 1M V2
Repository 🤗	https://huggingface.co/winglian/Meta-Llama-3-8B-1M-v2
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-08
Maintainer	winglian
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
Context Length	1048576
Model Max Length	1048576
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3 8B 1M V2 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 winglian/Meta-Llama-3-8B-1M-v2.